Delay-tolerant data commuting traffic network communication clean power supply joint scheduling method and system

Abstract

The present invention discloses a method and system for joint scheduling of delay-tolerant data commuting traffic network communication and clean power supply. On the basis of the existing communication network, a classified and layered time-space alignment model is constructed, and a time-space matching method of a multi-dimensional entity is designed. The delay-tolerant data of commuting vehicles, the delay-tolerant traffic unloading of the communication network, and the wind power and photovoltaic power consumption are scheduled in an integrated manner. Based on the time relaxation of the delay-tolerant data, the load valley period of the communication network, the clean energy power supply time window, and the data of commuting vehicles are piggybacked and scheduled in a time-space layered classified matching manner. While alleviating network congestion, the industrial value of the clean energy microgrid is released, the thermal power consumption of the communication network is reduced, and low-carbon or zero-carbon transmission is achieved.

Description

Technical Field

[0001] The present invention belongs to the field of data communication technology, and more specifically, relates to a delay-tolerant data commuting traffic network communication clean power supply joint scheduling method and system for transmitting batch delay-tolerant big data. Background Art

[0002] At present, the massive amount of data generated by human production and life needs to be transmitted through communication networks. As network communication traffic continues to grow rapidly, the operational challenges it faces are becoming increasingly severe: on the one hand, the cost of expanding and maintaining transmission and switching facilities has increased sharply, and on the other hand, the power consumption of data center equipment for data exchange and storage has increased sharply (network communication is already the world's largest power consumption industry). The two phases work together to reduce the profit-to-investment ratio of telecommunications operations.

[0003] In the composition of real communication network traffic types, many are delay-tolerant data (delay-tolerant data for short), such as: offline downloadable film and television video streaming media, regular disaster recovery data within enterprises and institutions, and batch-ordered vertical industry offline big data. The Chinese invention patent application published on November 13, 2020 with publication number CN 111935298A proposed a technical solution called "A Vehicle-mounted Delay-Tolerant Data Camel Network". This invention patent application uses vehicles that travel regularly or randomly on urban and rural roads as data storage carriers. While completing passenger and freight services, it collects and delivers data delivered by customers at data access points along the way, completing the transmission of large amounts of delay-tolerant data, thereby reducing the investment in communication facilities for transmitting large amounts of delay-tolerant data in existing communication networks, and serving as a beneficial aid to existing communication networks, while exploring new ways of value-added applications for social vehicles.

[0004] The information and communication industry represented by communication networks and data centers has become an important power-consuming sector in the world. The existing communication network transmission mode is difficult to fundamentally reduce the dependence on thermal power. At the same time, wind power and photovoltaic clean power are difficult to break through in the short term due to the bottleneck of energy storage technology. Their random disturbances still exist for a long time and are difficult to be stably integrated into the public power grid. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a delay-tolerant data commuting traffic network communication clean power supply joint scheduling method and system to alleviate network congestion, release the industrial value of clean energy microgrids, reduce the thermal power consumption of communication networks, and achieve low-carbon or zero-carbon delay-tolerant data transmission.

[0006] In order to achieve the above-mentioned purpose of the invention, the delay-tolerant data commuting traffic network communication clean power supply joint scheduling method of the present invention is characterized by constructing a classified and hierarchical space-time alignment model by extracting the receiving / sending space-time attributes of batch delay-tolerant data, the commuting space-time attributes of commuting vehicles, the available space-time attributes of communication network links, and the space-time attributes of wind power photovoltaic intermittent power supply, and designing a space-time matching method for multi-dimensional entities, so as to integrate the scheduling of commuting vehicles carrying delay-tolerant data, the delay-tolerant flow unloading of the communication network, and the wind power photovoltaic power consumption;

[0007] The delay-tolerant data is non-instant communication traffic that tolerates transmission time delay.

[0008] The receiving / sending time and space attributes of the delayed data are the data source of the delayed data, the geographical location of the intended delivery destination, and the expected delivery deadline;

[0009] The commuting time and space attributes of the commuting vehicle are the time and geographical location of the private car commuting between the residence and the workplace, or the geographical location and time of the stations that the commuting vehicle passes;

[0010] The available spatiotemporal attributes of the communication network link are the available time windows and geographical locations of the communication network communication links and access points;

[0011] The spatiotemporal attributes of intermittent power supply of wind power and photovoltaic power are the time windows of wind power and photovoltaic power supply and the geographical locations of power supply that can be covered;

[0012] The commuter vehicle piggybacking tolerance data is the piggybacking data of the commuter vehicle during normal commuting;

[0013] The communication network traffic unloading is a peak-shaving and valley-filling scheduling of the regional communication network, which realizes the non-competitive transmission of delay-tolerant data traffic and conventional network traffic;

[0014] The integrated dispatching of commuting vehicle piggybacking delay tolerance data, communication network traffic unloading, and wind power photovoltaic power consumption is to complete the transmission of batch delay tolerance data under the conditions of commuting vehicle piggybacking, communication network traffic load trough period, and wind power photovoltaic power grid power supply in the area;

[0015] The construction of the classified and layered spatiotemporal alignment model is to first construct a four-layer entity data set of delay-tolerant data orders, commuting vehicle routes, available bandwidth of communication network links, and wind power and photovoltaic clean power supply with spatiotemporal attributes:

[0016] Delayed data order entity dataset Delayable_DataSet Commuter vehicle route entity dataset Car_TrackSet Communication network link available bandwidth entity dataset NetworkLink_AvalableSet Wind power and photovoltaic clean power supply entity data set ClearPower_AvalableSet

[0017] Then, the four-layer entity data set is divided into N first-level categories according to the time interval, where:

[0018] The N first-level classes of the delayed data order entity data set are:

[0019] Delayable_DataSet(T i )

[0020] The N first-level classes of the commuter vehicle route entity dataset are:

[0021] Car_TrackSet(T i )

[0022] The N first-level categories of the communication network link available bandwidth entity data set are:

[0023] NetworkLink_AvalableSet(T i )

[0024] The N first-level categories of the wind power and photovoltaic clean power supply entity dataset are:

[0025] ClearPower_AvalableSet(T i )

[0026] Among them, T i represents the i-th time interval;

[0027] Then, the first-level class of each entity data set is further divided into M×(M-1) second-level classes according to the spatial attributes of the geographic location. In this way, at most N×M×(M-1) second-level classes can be constructed, where:

[0028] The N×M×(M-1) secondary classes of the delayed data order entity dataset are:

[0029] Delayable_DataSet(T i ,G s ,G d )

[0030] The M×(M-1) secondary classes of the commuter vehicle route entity dataset are:

[0031] Car_TrackSet(T i ,G s ,G d )

[0032] The N×M×(M-1) secondary classes of the communication network link available bandwidth entity data set are:

[0033] NetworkLink_AvalableSet(T i ,G s ,G d )

[0034] The M×(M-1) secondary categories of the wind power and photovoltaic clean power supply entity dataset are:

[0035] ClearPower_AvalableSet(T i ,G j )

[0036] i∈[1,N]

[0037] j∈[1,M]

[0038] s∈[1,M]

[0039] d∈[1,M]

[0040] s≠d

[0041] j=s OR j=d

[0042] Then, each secondary class is combined into M×(M-1) spatiotemporal aligned datasets, and at most N×M×(M-1) spatiotemporal aligned datasets can be constructed:

[0043] Align{Delayable_DataSet(T i ,G s ,G d ), Car_TrackSet(T i ,G s ,G d ),

[0044] NetworkLink_AvalableSet(T i ,G s ,G d ), ClearPower_AvalableSet(T i ,G j )} i,j,s,d

[0045] i∈[1,N],j∈[1,M],

[0046] s∈[1,M],d∈[1,M],s≠d,j=s OR j=d

[0047] The method for designing the spatiotemporal matching of multidimensional entities is as follows: constructing N×M×(M-1) spatiotemporal aligned data sets, selecting a combination order of priorities such as the amount of tolerant data, the integrity value of commuting vehicles, the available bandwidth of network links, and the urgency of clean energy consumption, determining the spatiotemporal matching and arrangement of multidimensional entities, and transmitting the tolerant data to the destination via the communication network transmission during the load valley period and commuting vehicle piggybacking during the clean electricity supply cycle.

[0048] The invention discloses a delay-tolerant data commuting traffic network communication clean power supply joint dispatching system, characterized by comprising: a delay-tolerant data order processing module, a commuting vehicle filing module, a communication network link information processing module, a clean energy power supply information processing module, a comprehensive database module, a joint dispatching decision module, and a comprehensive management module;

[0049] The delay-tolerant data order processing module, when a user submits the spatiotemporal attribute information of the delay-tolerant data to be transmitted through the user interface, collects the order information into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method;

[0050] The commuter vehicle registration module is used by the driver user to register and maintain the driver and vehicle identity and the upcoming travel route information through the vehicle user interface, and the driver and vehicle identity and the planned vehicle route spatiotemporal attribute information are aggregated into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and spatiotemporal matching method;

[0051] The communication network link information processing module obtains the available spatiotemporal information of the communication network transmission resources in real time through the user-network interface, and collects the available spatiotemporal attribute information of the communication network transmission resources into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method;

[0052] The clean energy power supply information processing module obtains the intermittent power supply spatiotemporal attribute information of the wind power / photovoltaic microgrid in real time through the user-grid interface, and collects the available spatiotemporal attribute information of the communication network transmission resources into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method;

[0053] The comprehensive database module stores N×M×(M-1) spatiotemporal aligned data sets, stores delay-tolerant data user authentication and business statistics information, and stores vehicle / driver authentication and business statistics information;

[0054] The joint dispatch decision module is the core module of the joint dispatch system. It provides 24 priority sorting strategies based on the four-level priority of delay-tolerant data volume, commuter vehicle integrity value, network link available bandwidth, and clean energy consumption urgency. According to the priority sorting strategy rules, multi-dimensional resource joint spatiotemporal scheduling is performed on N×M×(M-1) spatiotemporal aligned data sets.

[0055] The integrated management module provides a delayed data order submission interface, a vehicle user interface, a user-network interface, and a user-grid interface;

[0056] The comprehensive management module evaluates the vehicle / driver integrity value in the following manner:

[0057] Credit(k)=Success(k)–Level(k)×lg(10×Fault(k))

[0058] in:

[0059] Credit(k) is the credit value of vehicle / driver k;

[0060] Success(k) is the number of orders for piggybacking tolerant data that vehicle / driver k successfully completes;

[0061] Level(k) is the rating value of vehicle / driver k. The more orders the driver receives, the higher the rating value is. The initial rating value is 1.

[0062] Fault(k) is the number of times vehicle / driver k accepts an order but fails to successfully complete the piggyback transmission of the tolerant data.

[0063] The object of the present invention is achieved in this way.

[0064] The delay-tolerant data commuting traffic network communication and clean power supply joint scheduling method and system of the present invention, based on the existing communication network, constructs a classified and layered time-space alignment model, and designs a time-space matching method for multi-dimensional entities, and integrates the scheduling of commuting vehicles carrying delay-tolerant data, the delay-tolerant traffic unloading of the communication network, and the wind power and photovoltaic power consumption. Based on the time relaxation of delay-tolerant data, the load valley period of the communication network, the clean energy power supply time window, and the data of commuting vehicles are piggybacked and scheduled in a time-space layered classified matching manner. While alleviating network congestion, it releases the industrial value of clean energy microgrids, reduces the thermal power consumption of the communication network, and realizes low-carbon or zero-carbon transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a structural schematic diagram of a specific implementation mode of the vehicle-mounted delay-tolerant data camel network of the present invention. DETAILED DESCRIPTION

[0066] The specific implementation of the present invention is described below in conjunction with the accompanying drawings so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when the detailed description of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0067] Figure 1It is a schematic diagram of the functional module structure of the system of the delayed data commuting traffic network communication clean power supply joint dispatching method of the present invention. Among them, the comprehensive management module 01 is a remotely accessible Internet application front end, which provides order business interface 0A and driver user registration business interface 0B for data users and driver users respectively, which are used for users to submit delayed data transmission requests and driver registration respectively. The comprehensive management module 01 also provides communication network external connection interface 0C and clean power grid external connection interface 0D for the communication network and clean energy microgrid respectively, which are used to regularly and automatically obtain the spatiotemporal attribute data of the available links of the communication network and the spatiotemporal attribute data of the power grid power supply.

[0068] After the delay-tolerant data order processing module 02 obtains the spatiotemporal attribute information of the delay-tolerant data through the order information interface 12, it constructs a spatiotemporal alignment model and designs a spatiotemporal matching method according to the present invention, organizes them into spatiotemporal alignment data entries, and then collects them into the corresponding spatiotemporal alignment data set in the comprehensive database module 07 through the database write interface 71.

[0069] After the commuter vehicle registration module 03 obtains the spatiotemporal attribute information of the vehicle travel route through the vehicle information interface 13, it constructs a spatiotemporal alignment model and designs a spatiotemporal matching method according to the present invention, organizes them into spatiotemporal alignment data entries, and then collects them into the corresponding spatiotemporal alignment data set in the comprehensive database module 07 through the database write interface 72.

[0070] The communication network link information processing module 04 obtains the spatiotemporal attribute information of the available links of the communication network through the communication network link information interface 14, constructs a spatiotemporal alignment model and designs a spatiotemporal matching method according to the present invention, organizes them into spatiotemporal alignment data entries, and then collects them into the corresponding spatiotemporal alignment data set in the comprehensive database module 07 through the database write interface 73.

[0071] After the clean power supply information processing module 05 obtains the spatiotemporal attribute information of wind power / photovoltaic intermittent power supply in real time through the clean power grid power supply information interface 15, it constructs a spatiotemporal alignment model and designs a spatiotemporal matching method according to the present invention, organizes them into spatiotemporal alignment data entries, and then collects them into the corresponding spatiotemporal alignment data set in the comprehensive database module 07 through the database write interface 74.

[0072] The management control interface 16 of the joint dispatch decision module 06 receives the priority sorting strategy instructions of the integrated management module, and extracts the required spatiotemporal aligned data set through the data extraction interface 75 to form a data view; further based on the sorting priority, the data view is subjected to multi-dimensional resource joint spatiotemporal scheduling arrangement; then the generated arrangement is returned to the integrated management module 01 through the management control interface 16, so that the integrated management module 01 can respectively deliver services to data users, driver users, communication networks, and clean power grids through the 0A, 0B, 0C, and 0D interfaces.

[0073] The comprehensive database module 07 is used to store and manage multi-dimensional spatiotemporal alignment data sets, and provides data retrieval, data maintenance, and driver reputation value calculation services to the comprehensive management module 01 through the database read and write interface 11.

[0074] The delay-tolerant data commuting traffic network communication clean power supply joint scheduling method system of the present invention can be deployed in a centralized manner on a single server in an ICT data center, or can be flexibly deployed in a distributed manner according to functional modules; various interfaces in the joint scheduling system can be implemented by network programming or database access interface programming respectively; the comprehensive database in the joint scheduling system can flexibly adopt an open source database or a commercial database.

[0075] Although the above describes the illustrative specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations using the concept of the present invention are protected.

Claims

1. A delay-tolerant data commuting traffic network communication clean power supply joint scheduling method, characterized in that: By extracting the spatiotemporal attributes of sending and receiving batch delay-tolerant data, the spatiotemporal attributes of commuting vehicles, the spatiotemporal attributes of available communication network links, and the spatiotemporal attributes of intermittent power supply of wind power and photovoltaic power, a classified and hierarchical spatiotemporal alignment model is constructed, and a spatiotemporal matching method for multi-dimensional entities is designed to integrate the dispatch of commuting vehicles carrying delay-tolerant data, the delay-tolerant flow unloading of the communication network, and the consumption of wind power and photovoltaic power. The delay-tolerant data is non-instant communication traffic that tolerates transmission time delay; The receiving / sending time and space attributes of the delayed data are the data source of the delayed data, the geographical location of the intended delivery destination, and the expected delivery deadline; The commuting time and space attributes of the commuting vehicle are the time and geographical location of the private car commuting between the residence and the workplace, or the geographical location and time of the stations that the commuting vehicle passes; The available spatiotemporal attributes of the communication network link are the available time windows and geographical locations of the communication network communication links and access points; The spatiotemporal attributes of intermittent power supply of wind power and photovoltaic power are the time windows of wind power and photovoltaic power supply and the geographical locations of power supply that can be covered; The commuter vehicle piggybacking tolerance data is the piggybacking data of the commuter vehicle during normal commuting; The communication network traffic unloading is a peak-shaving and valley-filling scheduling of the regional communication network, which realizes the non-competitive transmission of delay-tolerant data traffic and conventional network traffic; The integrated dispatching of commuting vehicle piggybacking delay tolerance data, communication network traffic unloading, and wind power photovoltaic power consumption is to complete the transmission of batch delay tolerance data under the conditions of commuting vehicle piggybacking, communication network traffic load trough period, and wind power photovoltaic power grid power supply in the area; The construction of the classified and layered spatiotemporal alignment model is to first construct a four-layer entity data set of delay-tolerant data orders, commuting vehicle routes, available bandwidth of communication network links, and wind power and photovoltaic clean power supply with spatiotemporal attributes: Then, the four-layer entity data set is divided into N first-level categories according to the time interval, where: The N first-level classes of the delayed data order entity data set are: Delayable_DataSet(T i ) The N first-level classes of the commuter vehicle route entity dataset are: Car_TrackSet(T i ) The N first-level categories of the communication network link available bandwidth entity data set are: NetworkLink_AvalableSet(T i ) The N first-level categories of the wind power and photovoltaic clean power supply entity dataset are: ClearPower_AvalableSet(T i ) Among them, T i represents the i-th time interval; Then, the first-level class of each entity data set is further divided into M×(M-1) second-level classes according to the spatial attributes of the geographic location. In this way, at most N×M×(M-1) second-level classes can be constructed, where: The N×M×(M-1) secondary classes of the delayed data order entity dataset are: Delayable_DataSet(T i ,G s ,G d ) The M×(M-1) secondary classes of the commuter vehicle route entity dataset are: Car_TrackSet(T i ,G s ,G d ) The N×M×(M-1) secondary classes of the communication network link available bandwidth entity data set are: NetworkLink_AvalableSet(T i ,G s ,G d ) The M×(M-1) secondary categories of the wind power and photovoltaic clean power supply entity dataset are: ClearPower_AvalableSet(T i ,G j ) i∈[1,N] j∈[1,M] s∈[1,M] d∈[1,M] s≠d j=s OR j=d Then, each secondary class is combined into M×(M-1) spatiotemporal aligned datasets, and at most N×M×(M-1) spatiotemporal aligned datasets can be constructed: Align{Delayable_DataSet(T i ,G s ,G d ),Car_TrackSet(T i ,G s ,G d ),NetworkLink_AvalableSet(T i ,G s ,G d ),ClearPower_AvalableSet(T i ,G j )} i,j,s,d i∈[1,N],j∈[1,M], s∈[1,M],d∈[1,M],s≠d,j=s OR j=d The method for designing the spatiotemporal matching of multidimensional entities is as follows: constructing N×M×(M-1) spatiotemporal aligned data sets, selecting a priority combination order of the amount of tolerant data, the integrity value of commuting vehicles, the available bandwidth of network links, and the urgency of clean energy consumption, determining the spatiotemporal matching and arrangement of multidimensional entities, and transmitting the tolerant data to the destination via the communication network transmission during the load valley period and commuting vehicle piggybacking during the clean electricity supply cycle.

2. A delay-tolerant data commuting traffic network communication clean power supply joint dispatching system, characterized in that: include: Delayed data order processing module, commuter vehicle filing module, communication network link information processing module, clean energy power supply information processing module, comprehensive database module, joint dispatch decision module, and comprehensive management module; The delay-tolerant data order processing module, when a user submits the spatiotemporal attribute information of the delay-tolerant data to be transmitted through the user interface, collects the order information into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method; The commuter vehicle registration module is used by the driver user to register and maintain the driver and vehicle identity and the upcoming travel route information through the vehicle user interface, and the driver and vehicle identity and the planned vehicle route spatiotemporal attribute information are aggregated into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and spatiotemporal matching method; The communication network link information processing module obtains the available spatiotemporal information of the communication network transmission resources in real time through the user-network interface, and collects the available spatiotemporal attribute information of the communication network transmission resources into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method; The clean energy power supply information processing module obtains the intermittent power supply spatiotemporal attribute information of the wind power / photovoltaic microgrid in real time through the user-grid interface, and collects the intermittent power supply spatiotemporal attribute information of the communication network transmission resources into one of the N×M×(M-1) spatiotemporal alignment data sets according to the spatiotemporal alignment model and the spatiotemporal matching method; The comprehensive database module stores N×M×(M-1) spatiotemporal aligned data sets, stores delay-tolerant data user authentication and business statistics information, and stores vehicle / driver authentication and business statistics information; The joint dispatch decision module is the core module of the joint dispatch system. It provides 24 priority sorting strategies based on the four-level priority of delay-tolerant data volume, commuter vehicle integrity value, network link available bandwidth, and clean energy consumption urgency. According to the priority sorting strategy rules, multi-dimensional resource joint spatiotemporal scheduling is performed on N×M×(M-1) spatiotemporal aligned data sets. The integrated management module provides a delayed data order submission interface, a vehicle user interface, a user-network interface, and a user-grid interface; The comprehensive management module evaluates the vehicle / driver integrity value in the following manner: Credit(k)=Success(k)–Level(k)×lg(10×Fault(k)) in: Credit(k) is the credit value of vehicle / driver k; Success(k) is the number of orders for piggybacking tolerant data that vehicle / driver k successfully completes; Level(k) is the rating value of vehicle / driver k. The more orders the driver receives, the higher the rating value is. The initial rating value is 1. Fault(k) is the number of times vehicle / driver k accepts an order but fails to successfully complete the piggyback transmission of the tolerant data.

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