Power load regulation and control system and method based on high-speed wireless transmission network

Abstract

Provided in the present application are a power load regulation and control system and method based on a high-speed wireless transmission network. The power load regulation and control system comprises a regulation and control resource layer, an aggregation transmission layer and a load terminal layer, wherein the load terminal layer is connected to each terminal device, and is used for collecting information of each terminal device and fusing the information of the terminal devices, and also issuing a control instruction to each terminal device or transmitting fused information to the aggregation transmission layer; the aggregation transmission layer is used for transmitting the fused information to the regulation and control resource layer by using multi-service multi-hop access technology and secure transmission technology, and transmitting to the load terminal layer the control instruction issued by the regulation and control resource layer; and the regulation and control resource layer is used for generating the control instruction for each terminal device on the basis of the fused information, and transmitting the control instruction to the aggregation transmission layer. The present application can realize the unification of a stable connection and a high transmission rate, can also meet the high requirements for data collection and the transmission rate, and can also cope with complex and variable channel transmission scenarios.

Description

A power load control system and method based on high-speed wireless transmission network

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 202311618049.9 and application date of November 30, 2023, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated into this application by introduction. Technical Field

[0003] The embodiments of the present application relate to the field of power control, and in particular to a power load control system and method based on a high-speed wireless transmission network. Background Art

[0004] Power communication systems are crucially linked to grid operations. A stable and efficient power communication system ensures safer and more reliable grid operation. The use of wireless private networks in power communication systems can make them more intelligent and ensure grid security. Power wireless private network technology can improve power communication efficiency while fully utilizing hardware resources. The use of wireless private networks can also effectively reduce equipment investment. Compared to traditional power distribution and utility communications, wireless private network technology is more convenient, simplifies wiring systems, provides a more stable communication network, and increases information channel transmission speed.

[0005] While conventional power load management methods monitor and regulate load resources for the purpose of power rationing, new power load management systems prioritize demand response, fully utilizing demand-side resources and enabling users to actively participate in load management. This improves power quality and maximizes power resource utilization. This places new demands on the coverage and collection rate of power users. Conventional information collection methods suffer from shortcomings such as difficulty in collecting information from all power users in a short period of time and a lack of completeness in the collected information.

[0006] For example, the application number is 202110268635.X, and the name is a method and system for integrating 230MHz and 1800MHz power wireless private networks. As shown in Figure 1, two special control separators, namely the access control separation manager and the transmission control separation manager, are used to divide the wireless private networks in the 230MHz and 1800MHz frequency bands into two independent networks and effectively combine the respective advantages of the two independent networks. Specifically, the access control separation manager is used to send the acquired S1-MME control data sent by the 230MHz base station and the 1800MHz base station to different MME protocol stacks or MME signaling controllers, and then select the corresponding user data protocol according to the instructions of the MME signaling controller at the MME; the transmission control separation manager is used to send the S1-U user data to the relevant protocol stack to complete the transmission according to the user data protocol selected by the access controller. This method realizes the integration of the core network, and the data transmission rate of the integrated network system is significantly improved, and the reliability and coverage of the network are improved. However, the communication mode and frequency band are single, and the problem of limited bandwidth of 230MHz and 1800MHz power wireless private networks is not solved.

[0007] For example, the application number is 201911099873.1, and the name is a relay selection, frequency allocation method and device for a power wireless private network, as shown in Figure 2, including: S210, receiving a relay request sent by a relay request device; S220, feeding back relay feedback information according to the relay request; S250, which is executed when a relay access request sent by a relay request device is received, prioritizing relay access requests for frequency resources that are not fed back; S231, which is executed when the idle frequency resources corresponding to the relay access request are more than the frequency resources required by the relay request device, feeding back to the relay request device the channel with the best channel quality among the idle resources corresponding to the relay access request; High frequency resources; and S232, S233, and S234 are executed when the idle frequency resources corresponding to the relay access request are more than the frequency resources required by the relay request device; in S232, the idle frequency resources corresponding to the relay access request in other terminal devices are fed back to the relay request device; in S233, after waiting for the frequency resources corresponding to the relay access request to become idle, the idle frequency resources corresponding to the relay access request are fed back to the relay request device; in S234, the idle frequency resources that do not correspond to the relay access request are fed back to the relay request device; as shown in Figure 2, it also includes S240, establishing a relay connection with the relay request device based on the frequency resources. Among them, the most suitable terminal device is selected from a plurality of terminal devices for connection based on the service request received, rather than using the base station coverage as the only criterion for selecting the relay device. The relay connection established in this way ensures the transmission quality during subsequent service transmission. The frequency allocation method involves first prioritizing relay access requests for frequency resources that haven't yet fed back; then, executing each relay access request for frequency resources that haven't yet fed back back, in descending order of priority. While this solution ensures transmission quality through relay selection and frequency allocation, it suffers from relatively low network efficiency and significantly increases latency, failing to meet real-time network requirements. Furthermore, related technologies for power grid wireless networks have always been subject to bandwidth limitations, limiting the amount of data uploaded by terminals and resulting in low transmission rates.

[0008] Related power load management methods also employ peak-shifting and valley-filling to regulate load resources. However, this method suffers from low communication rates and, in the face of changing load scenarios, cannot effectively utilize resources, impacting efficiency on the power user side. Therefore, dynamic load allocation solutions that collect user information are more suitable for these changing load scenarios than static solutions. However, current solutions often utilize microwave and millimeter-wave transmission equipment with a single frequency band or mode. These devices cannot meet the high data acquisition and transmission rate requirements, nor can they cope with complex and changing channel transmission scenarios, and cannot achieve both stable connections and high transmission rates. Furthermore, due to the open nature of wireless channels, data transmission is susceptible to eavesdropping and tampering by unauthorized users. Existing solutions mostly rely on directional modulation, which does provide the receiver with high security capacity in the desired direction, but significantly increases the bit error rate in other directions. Furthermore, these solutions fail to account for the random distribution of eavesdroppers. Therefore, an effective solution is urgently needed to achieve higher security.

[0009] Summary of the Invention

[0010] In order to solve the problem that related technologies cannot achieve the unification of stable connection and high transmission rate, the embodiment of the present application proposes a power load control system based on a high-speed wireless transmission network, including: a control resource layer, an aggregation transmission layer and a load terminal layer;

[0011] The load terminal layer is connected to each terminal device, and is used to collect information from each terminal device, fuse the information of each terminal device, and issue control instructions to each terminal device or transmit the fuse information to the aggregation transmission layer;

[0012] The aggregation transport layer is used to transmit the fused information to the control resource layer using multi-service multi-hop access technology and secure transmission technology, and transmit the control instructions issued by the control resource layer to the load terminal layer;

[0013] The control resource layer is used to generate control instructions for each terminal device based on the fused information and transmit the control instructions to the aggregation transport layer.

[0014] Optionally, the load terminal layer includes: a plurality of smart units and hubs;

[0015] Each smart unit is connected to an observation target and is used to collect data from the observation target;

[0016] The multiple smart units are all connected to the hub.

[0017] In some embodiments, the aggregated transmission layer includes: a multi-mode microwave system, a multi-mode millimeter wave system, and a frequency band adaptive switching system;

[0018] The multi-modal millimeter wave system is used to select a transmission frequency band according to the channel state. If the distance between the load terminal layer and the control resource layer is less than a set threshold, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology; otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment;

[0019] The multi-mode microwave system is used to select a transmission frequency band according to the channel state and transmit the information in the microwave device to the control resource layer through a secure transmission technology;

[0020] The frequency band adaptive switching system is used to switch the transmission frequency band using an adaptive switching technology according to the transmission rate and the decision threshold.

[0021] On the other hand, the embodiments of the present application further provide a method for controlling power load based on a high-speed wireless transmission network, comprising:

[0022] Collect information from each terminal device through the load terminal layer, and fuse the information from each terminal device to obtain fused information;

[0023] The fused information is transmitted to the control resource layer through the aggregation transport layer using multi-service multi-hop access technology and secure transmission technology;

[0024] The control resource layer generates control instructions for each terminal device based on the fused information, and controls the aggregated transport layer based on the control instructions.

[0025] In some embodiments, collecting information of each terminal device through the load terminal layer and fusing the information of each terminal device to obtain fused information includes:

[0026] The data of the observation target is collected by the intelligent unit connected to the observation target, and features are extracted from the data of the observation target, and the extracted feature vectors are identified to obtain data annotations of the intelligent unit and description data of the observation target;

[0027] Group the description data of the observation targets of each smart unit according to the same observation target;

[0028] The hub uses a fusion algorithm to synthesize the data of the observation target collected by the same group of intelligent units to obtain a consistent interpretation and description of the observation target;

[0029] The consistent interpretation and description of the observed target is used as fusion information.

[0030] In some embodiments, the fused information is transmitted to the control resource layer through the aggregation transport layer using multi-service multi-hop access technology and secure transmission technology, including: multi-mode microwave system, multi-mode millimeter wave system and frequency band adaptive switching system

[0031] The multimodal millimeter wave system in the aggregated transmission layer selects a transmission frequency band according to the channel state. If the distance between the load terminal layer and the control resource layer is less than a set threshold, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology; otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment.

[0032] The multi-mode microwave system in the aggregated transmission layer selects a transmission frequency band according to the channel state, and transmits the information in the microwave device to the control resource layer through a secure transmission technology;

[0033] The frequency band adaptive switching system in the aggregate transmission layer switches the transmission frequency band using an adaptive switching technology according to the transmission rate and the decision threshold.

[0034] In some embodiments, transmitting the information collected by the load terminal layer to the control resource layer through a secure transmission technology includes:

[0035] The information collected by the load terminal layer is passed through a pre-built eavesdropping channel model;

[0036] Determine the Euclidean distance of impulse responses in the legitimate channel of the pre-built eavesdropping channel model, and merge the sub-channels with the smallest Euclidean distance of impulse responses in the legitimate channel to improve the achievable rate of the legitimate channel;

[0037] Artificial noise is inserted into the transmission signal of the pre-built eavesdropping channel model to securely transmit the information collected by the load terminal layer.

[0038] In some embodiments, the pre-built eavesdropping channel model includes: a transmitting end, a main channel, a receiving end, an eavesdropping channel, and an eavesdropping end;

[0039] The transmitting end and the receiving end transmit confidential information via the primary channel;

[0040] The eavesdropping terminal eavesdrops on the confidential information transmitted on the main channel through the eavesdropping channel.

[0041] In another aspect, an embodiment of the present application further provides a computing device, comprising: one or more processors;

[0042] a processor for executing one or more programs;

[0043] When the one or more programs are executed by the one or more processors, the power load control method as described above is implemented.

[0044] On the other hand, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed, the power load control method as described above is implemented.

[0045] The beneficial effects of the embodiments of the present application include:

[0046] The embodiment of the present application provides an electric load control system based on a high-speed wireless transmission network, including: a control resource layer, an aggregation transmission layer and a load terminal layer; the load terminal layer is connected to each terminal device respectively, and is used to collect information from each terminal device and fuse the information of each terminal device. At the same time, it sends control instructions to each terminal device or transmits the fused information to the aggregation transmission layer; the aggregation transmission layer is used to transmit the fused information to the control resource layer using multi-service multi-hop access technology and secure transmission technology, and transmit the control instructions sent by the control resource layer to the load terminal layer; the control resource layer is used to generate control instructions for each terminal device based on the fused information, and transmit the control instructions to the aggregation transmission layer. The embodiment of the present application can achieve the unity of stable connection and high transmission rate, while also meeting higher data collection and transmission rate requirements, and can also cope with complex and changeable channel transmission scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] FIG1 is a schematic diagram of the core network structure of the power wireless private network fusion system in the related art;

[0048] FIG2 is a flow chart of an example of a frequency allocation method for a power wireless private network in the related art;

[0049] FIG3 is a high-speed wireless dedicated transmission networking scenario provided in an embodiment of the present application;

[0050] FIG4 is a schematic diagram of the structure of an electric load control system according to an embodiment of the present application;

[0051] FIG5 is a schematic diagram of a multi-sensor fusion technology processing flow in an embodiment of the present application;

[0052] FIG6 is a diagram showing the overall architecture of a multi-mode microwave / millimeter wave networking solution according to an embodiment of the present application;

[0053] FIG7 is a schematic diagram of an indoor multi-point multi-mode dual-band networking solution according to an embodiment of the present application;

[0054] FIG8 is a schematic diagram showing a change in a channel when the channel changes according to an embodiment of the present application;

[0055] FIG9 is a schematic diagram of an eavesdropping channel model according to an embodiment of the present application;

[0056] FIG10 is a diagram of a secure communication model in which a signal transmitter and a legitimate receiver simultaneously generate artificial noise according to an embodiment of the present application. DETAILED DESCRIPTION

[0057] Millimeter-wave communications have attracted significant attention due to their high bandwidth. Furthermore, the relatively unused millimeter-wave frequency band offers low interference, making communications more stable and reliable. However, due to their susceptibility to obstacles and atmospheric absorption, millimeter-wave signals are more suitable for short-range communications, such as indoor communications and local wireless networks. Microwave signals are relatively stable and highly resistant to interference, enabling wide-area coverage and suitable for establishing large-scale communication networks and long-distance, complex communication scenarios. Combining the two not only achieves higher transmission rates and capacity, but also provides greater stability and security to meet the needs of various communication scenarios. Therefore, multimodal wireless networking technology for power load management terminals can promote the integration of renewable energy, reduce environmental pollution, and ensure the safe and stable operation of new power systems.

[0058] The embodiment of the present application considers the optimization of load regulation services in the power wireless private network system, especially the problem of information collection of power load management user terminals, and designs a microwave / millimeter wave multi-modal networking solution, as shown in Figure 3. Power users are widely distributed and the scenarios are complex. The existing millimeter wave or microwave data transmission equipment in China has problems such as single frequency band and mode and cannot adapt to complex and changing application environments. Therefore, a composite networking solution is adopted. For backbone long-distance transmission between outdoor high towers or rooftops, microwave communication with wide coverage and strong anti-interference ability is adopted; for indoor short-distance transmission, high-frequency band, stable and reliable millimeter wave communication is adopted to meet the long-distance and high-speed transmission requirements of the power wireless private network. At the same time, adaptive frequency switching technology is integrated into the above system to achieve flexible configuration and high-speed data transmission from point to point or point to multi-point, ensuring high coverage and collection rate of power users in the system network. In view of the differences in different transmission environments, multi-hop networking technology is designed to achieve seamless connection from large scale to small scale.

[0059] The embodiment of the present application is aimed at scenarios where a large number of users access the electric power wireless private network, and is used to collect terminal information more efficiently and reliably to intelligently control the power load. Unlike traditional 230MHz or 1.8GHz electric power wireless private networks, the embodiment of the present application adopts microwave / millimeter wave wireless transmission technology and proposes a new load management terminal access solution to improve the carrying capacity of electric power load control services. The embodiment of the present application also introduces multi-band transmission and adaptive switching technology to achieve long-distance, high-speed transmission and point-to-point data transmission of wireless power private networks. For complex transmission scenarios, a multi-hop networking solution is designed to achieve seamless connection between large-scale and small-scale transmission.

[0060] Example 1:

[0061] An electric load control system, as shown in FIG4 , includes: a control resource layer, an aggregation transmission layer, and a load terminal layer;

[0062] The load terminal layer is connected to each terminal device, and is used to collect information from each terminal device, fuse the information of each terminal device, and issue control instructions to each terminal device or transmit the fuse information to the aggregation transmission layer;

[0063] The aggregation transmission layer is used to transmit the integrated information to the control resource layer using multi-service multi-hop access technology and secure transmission technology, and transmit the control instructions issued by the control resource layer to the load terminal layer;

[0064] The control resource layer is used to generate control instructions for each terminal device based on the fused information and transmit the control instructions to the aggregation transport layer.

[0065] Furthermore, the load terminal layer includes: a plurality of smart units and hubs;

[0066] Each smart unit is connected to an observation target and is used to collect data from the observation target;

[0067] The multiple smart units are all connected to the hub.

[0068] The smart unit in the embodiment of the present application can also be called a front-end device smart unit.

[0069] In this embodiment, the smart unit adopts an active response type smart energy unit. The hub aggregates multiple smart units into a single terminal, namely a multi-load control terminal, making the transmission and reception of information more convenient and efficient.

[0070] The overall flow chart of the embodiment of the present application is shown in Figure 4. It generally includes the following three layers: resource control layer, aggregation transmission layer, and load terminal layer.

[0071] First, the multi-layer load control terminal supports multi-protocol and multi-scenario applications, adopting multi-hop access technology. Through proactive and responsive smart energy units, it enables interconnection and information perception among various types of electrical devices and sensors in commercial buildings (i.e., smart buildings), energy storage, charging stations, and other multi-service businesses. As shown in Figure 4, the multi-layer load control terminal supports scenarios involving power loads, including smart buildings, electric vehicles, energy storage, smart parking lots, and other loads.

[0072] At the same time, it can respond in real time to the control instructions issued by multiple load control terminals.

[0073] Next, the front-end device's intelligent unit collects power usage information from the terminal devices and aggregates and transmits it to the aggregated transport layer. The aggregated transport layer leverages the multi-hop, multi-access capabilities of multimode microwave / millimeter wave systems to collect and aggregate massive amounts of discrete load resources in scenarios such as commercial buildings, energy storage, and charging stations. This system is compatible with multiple device physical interfaces and supports multi-protocol access. Through these steps, terminal power usage information is quickly, in real time, and efficiently transmitted to the control resource layer, ultimately enabling rapid and efficient load regulation. The control resource layer enables rapid and flexible load regulation.

[0074] To better manage multiple smart energy units, this embodiment of the application uses hub technology to aggregate them into a single terminal, making information transmission and reception more convenient and efficient. The application of this technology provides a reliable data access and transmission solution for the smooth operation of the power load control system.

[0075] Furthermore, the aggregated transport layer includes: a multi-mode microwave system, a multi-mode millimeter wave system, and a frequency band adaptive switching system;

[0076] The multi-modal millimeter wave system is used to select a transmission frequency band according to the channel state. If the distance between the load terminal layer and the control resource layer is less than a set threshold, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology; otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment;

[0077] The multi-mode microwave system is used to select a transmission frequency band according to the channel state and transmit the information in the microwave device to the control resource layer through a secure transmission technology;

[0078] The frequency band adaptive switching system is used to switch the transmission frequency band using an adaptive switching technology according to the transmission rate and the decision threshold.

[0079] Application of data fusion technology for front-end control equipment:

[0080] Front-end multi-sensor fusion technology is an information processing process that uses computer technology to automatically analyze and synthesize information and data from multiple sensors or multiple sources according to certain criteria, and complete the required decision-making and estimation.

[0081] In the embodiment of the present application, the front-end multi-sensor fusion technology is shown in Figure 5 and includes the following four steps.

[0082] S1: Multiple sensors of different types (active response smart energy units or video equipment) collect data on the observed target;

[0083] S2: Extract features from the sensor's output data (discrete or continuous time function data, output vector, imaging data, or a direct attribute description), and perform recognition processing on the extracted feature vectors to complete the data annotation of each sensor and the description data about the observed target;

[0084] S3: Grouping the description data of each sensor on the observation target according to the same observation target, i.e. associating;

[0085] S4: Use the fusion algorithm to synthesize the sensor data of the observed target to obtain a consistent interpretation and description of the observed target.

[0086] To ensure power supply, proactive smart energy units and video surveillance equipment are installed as terminal devices for power load control. These devices, characterized by large data volumes and high concurrency, improve carrying capacity and enable more intelligent power load control. These terminal devices play a core role in the new power load management system. However, the introduction of these devices can place significant pressure on communication transmission networks. Therefore, the design of a high-speed, highly reliable, and low-latency power wireless private network is particularly important.

[0087] In order to meet the needs of video command supply, this system supports video equipment to be connected to various types of cameras; among them, the smart energy unit plays an important role.

[0088] S1: Smart energy units are based on the concept of energy management and monitoring using advanced technologies. They use sensors and network communication technologies to achieve intelligent monitoring and regulation of energy, thereby improving energy efficiency and reducing energy waste.

[0089] S2: Through the front-end multi-sensor fusion technology, each sensor is fused into a single sensor as part of the original layer of the front end, considering the information as a whole, and fusing the data to make it relevant.

[0090] S3: Perception algorithms are then used to analyze the integrated, multi-dimensional data and output the processed results. Front-end multi-sensor fusion technology, which processes data based on different functional requirements, will provide reliable data support for efficient control of various indoor and outdoor loads.

[0091] As shown in Figure 4, for the aggregated transport layer, a multi-service multi-hop access technology based on a multi-mode microwave / millimeter wave system is adopted. The multi-service multi-hop access technology based on a multi-mode microwave / millimeter wave system is described as follows:

[0092] Multiple smart units access the transmission system based on business priorities. After obtaining sufficient and reliable data, they build a multi-mode and multi-band integrated power wireless private network solution, namely a multi-mode microwave / millimeter wave networking solution. The overall architecture diagram is shown in Figure 6.

[0093] S1: To achieve short-distance transmission, a multi-modal millimeter-wave communication solution with minimal interference was designed based on the high concurrency of the massive number of terminals in the power-dedicated network. Power information collected by various front-end intelligent units can be flexibly transmitted directly to the control resource layer using either the 60GHz or 5.8GHz frequency bands based on channel conditions. If the distance to the processing center is greater, the information is forwarded to microwave equipment for transmission to upper layers.

[0094] S2: To achieve long-distance transmission and meet the long-distance communication requirements of the power grid, a multimodal microwave communication solution was designed. Power information collected by various front-end intelligent units can be flexibly transmitted in the 6 GHz or 11 GHz frequency band based on channel conditions. The microwave equipment directly transmits the aggregated information to the control resource layer.

[0095] S3: To ensure flexible frequency switching during power information transmission, adaptive frequency band switching technology was designed. Using the transmission rate as the decision threshold, this technology ensures a stable communication connection while also accounting for frequent frequency band switching caused by jitter. This seamless integration of large and small scales effectively reduces wired deployment costs.

[0096] S4: For complex scenarios, taking into account the high concurrency of various terminals, we abandon traditional single point-to-point communication methods and design multi-hop networking technology. Multiple devices can communicate through multiple relay nodes. A master node + relay node + terminal node approach is adopted to support access by a large number of concurrent users. This meets the needs of rapid data collection for power load control services, enables access to load control services, video transmission services, and traditional low-speed communication devices, and improves transmission flexibility and reliability.

[0097] For long-distance backbone transmission, microwave frequency band communication is used. This embodiment of the application proposes a frequency band of 6-13 GHz, with a maximum service throughput of 2.2 Gbps in one direction, a transmission distance of up to 40 km, a channel bandwidth of 5-112 MHz, and adaptive modulation of 4QAM-4096QAM. This fully meets wireless communication applications such as 4G network LTE base station service backhaul and WLAN wireless transmission for base station backhaul in the early stages of 5G construction. Depending on the channel conditions, either the 6 GHz or 11 GHz band can be selected. A performance comparison of the two is shown in Table 1.

[0098] Table 1 Performance comparison between the 6GHz and 11GHz bands

[0099] For indoor short-distance transmission, millimeter wave frequency band communication is adopted. The embodiment of the present application designs an indoor multi-point multi-mode dual-band networking solution as shown in Figure 7, in which multiple relay nodes collect data from terminal nodes and transmit it to the master node. Both transmission processes adopt the dual-band networking solution of 5.8Ghz and 60Ghz. During the transmission process, it is necessary to select the appropriate frequency band for transmission in real time according to the channel conditions and communication rate requirements. When a stable connection can be established in the 60Ghz band, select 60Ghz, otherwise select 5.8Ghz to ensure the connection.

[0100] The frequency band adaptive switching system is used to switch the transmission frequency band using the adaptive switching technology according to the transmission rate and the decision threshold. The adaptive switching technology is further introduced below.

[0101] The adaptive switching technology includes the following steps:

[0102] S1: Get the transmission rate expression between nodes.

[0103] The transmission rate between each node c ij satisfy:

[0104] Where c ij The value of is greater than 0, which refers to the communication rate between node i and node j, g ij is the channel direct gain, p j is the transmission power of j, and σ is the Gaussian noise with zero mean. ij is the path loss between node i and node j.

[0105] S2: Obtain the decision condition for frequency band switching.

[0106] The condition for switching frequency band is c ij The size of c th is a certain transmission rate threshold, when c ij Decay to c th , indicating that the channel conditions can no longer provide a stable communication connection for 60Ghz, and it is necessary to switch to 5.8G and select frequency band f c It can be expressed as:

[0107] S3: Consider the jitter of the channel state and optimize the decision formula.

[0108] Considering that the channel change is not necessarily smooth, c ij The change of c will also cause jitter, that is, under ideal conditions, c ij As shown in 801 in FIG8 , when there is jitter in the channel change, c ij The changes are shown as 802.

[0109] In this case, assuming c ij =31, that is, when 803 is shown in the figure, the frequency band will be frequently switched due to jitter during the process from t=1.5 to t=3. In order to alleviate this problem, the high threshold rate c is set. high and the lower threshold rate c low , and c high >c l ow When at 5.8Ghz, c ij Greater than c high It will switch to 60Ghz. When it is at 60Ghz, c ij Less than c low Only then will it switch to 5.8 GHz, and the formula (2) will be improved to:

[0110] Both multimodal millimeter wave systems and multimodal microwave systems use secure transmission technology to transmit information. The following is a detailed introduction to secure transmission technology:

[0111] Due to the openness of wireless channels, communication systems are vulnerable to malicious eavesdropping or tampering by unauthorized users during wireless transmission. To address this issue, a secure transmission solution is designed as follows:

[0112] S1: Construct an eavesdropping channel model.

[0113] Figure 9 shows the eavesdropping channel model. It consists of three components: a transmitter (source), a receiver (destination), and a potential eavesdropper. The transmitter sends confidential information to the receiver, and the eavesdropper attempts to eavesdrop on the confidential information sent by the transmitter. Here, the transmitter is a legitimate transmitter, and the receiver is a legitimate receiver; both are legitimate nodes.

[0114] As shown in Figure 9, M sent by the source end is encoded to obtain X, and X is transmitted through the main channel to obtain Y. That is, the destination end receives Y and solves Y to obtain M'. The eavesdropping end eavesdrops on Y transmitted through the main channel through the eavesdropping channel to obtain E.

[0115] It has been proven that when the channel quality of the legitimate link (i.e., the main link or main channel) is better than the channel quality of the eavesdropping link (i.e., the eavesdropping channel), the legitimate nodes can achieve completely confidential communication without relying on keys, and the maximum rate that can be achieved is called security capacity, which is used to measure the security performance index C of legitimate user communications. s , which can be expressed mathematically as: C s =max[I(X;Y)-I(X;E)] (4)

[0116] Where I(X; Y) and I(X; E) represent the mutual information of the legitimate link and the eavesdropped link, respectively. Based on this, Leung and Hellman proposed the Gaussian eavesdropping channel model, and the expression of security capacity can be simplified to:

[0117] Where C sec is the safety capacity, C d and C e Represent the information capacity of the main link and the eavesdropping link respectively. s Indicates the source end transmit power, and represent the noise power of the destination end and the eavesdropping end respectively.

[0118] S2: Antenna Grouping

[0119] Antenna spacing should be appropriately widened to ensure independence between transmitted and received signals. Therefore, a correlation coefficient ρ of a subchannel matrix is ​​established. By designing an antenna grouping algorithm, the sum of the correlation coefficients of all groups is minimized to achieve the optimal grouping solution. Grouping optimization is performed with minimizing the correlation coefficient as the objective function. This optimization problem can be expressed as the following formula:

[0120] Among them, ρ represents the correlation coefficient between the two sub-channels, h i and h j represents subchannels i and j, Z represents the number of antenna groups, N d Indicates the number of antennas in a group.

[0121] For a remote terminal, the base station allocates a portion of its antennas to communicate with it. These antennas act as relays while forwarding other signals. During communication, the signals transmitted by each antenna group are time-interleaved, and then a specific group and user are selected for communication. For relays with lower security levels, the number of relay antennas is smaller than that of the base station. In this case, the base station antennas utilize the randomness of channel state information to group the signals and perform time-interleaving. In this case, the relay cannot obtain the antenna combination list, and therefore cannot deinterleave the signals in the time domain, and therefore cannot decode the signals.

[0122] From the perspective of the entire system, overlapping space-time signals present interference to the cooperative relay, but are completely decodable by both parties involved in the communication match. While reducing channel correlation, the antenna grouping scheme effectively degrades the relay eavesdropping channel, increasing the advantage of legitimate channels over illegitimate ones, thereby improving system security. Merging subchannels can increase the achievable rate of the legitimate channel. In this case, due to the randomness of the eavesdropping channel, the achievable rate of the eavesdropper does not increase. Therefore, the proposed antenna grouping method can improve the system's security rate.

[0123] S3: Adding artificial noise

[0124] An eavesdropper isn't a single entity; rather, they are randomly distributed around the target transmitter and receiver, conducting the eavesdropping process. If the eavesdropper is closer to the transmitter than the legitimate receiver, short-range interception becomes a problem. In this case, since the eavesdropper's receiving gain is greater than that of the legitimate receiver, even using spatial beamforming is difficult to achieve satisfactory security performance. Alternatively, artificial noise can be inserted into the transmitted signal to confuse the eavesdropper. It's worth noting that both the legitimate transmitter and the legitimate receiver can generate artificial noise, as shown in Figure 10.

[0125] The key to artificial noise design is to prevent interference from leaking to legitimate receivers while simultaneously impacting the received signal at the eavesdropper's end. By leveraging the spatial freedom provided by large-scale antenna arrays and using beamforming to jointly adjust the direction of the artificial noise and transmitted signal, the security of the communication system is improved.

[0126] The embodiments of the present application have the following beneficial effects:

[0127] Through multimodal fusion and adaptive switching, fast and reliable access of smart energy units can be achieved under high transmission requirements and complex channel conditions, and efficient transmission of power load regulation can be achieved.

[0128] Through multi-band fusion and multi-hop networking, seamless interaction of multiple smart energy units distributed far and near can be achieved under the requirements of multi-scale transmission distance, low latency and high reliability transmission, thereby enhancing the efficiency and performance of load regulation.

[0129] By grouping antennas and adding artificial noise, the signal-to-noise ratio of the eavesdropper is reduced, the maximum robust security rate is achieved, and the security of millimeter wave communications is further enhanced, while the wireless channel is susceptible to illegal eavesdropping.

[0130] Example 2:

[0131] Based on the same concept, an embodiment of the present application further provides a method for controlling power loads, including:

[0132] Collect information from each terminal device through the load terminal layer, and fuse the information from each terminal device to obtain fused information;

[0133] The fused information is transmitted to the control resource layer through the aggregation transport layer using multi-service multi-hop access technology and secure transmission technology;

[0134] The control resource layer generates control instructions for each terminal device based on the fused information, and controls the aggregated transport layer based on the control instructions.

[0135] Furthermore, the information of each terminal device is collected through the load terminal layer, and the information of each terminal device is integrated to obtain integrated information, including:

[0136] The data of the observation target is collected by the intelligent unit connected to the observation target, and features are extracted from the data of the observation target, and the extracted feature vectors are identified to obtain data annotations of the intelligent unit and descriptions of the observation target;

[0137] The hub uses a fusion algorithm to synthesize the data of the observation target collected by the intelligent unit of the observation target to obtain a consistent explanation and description of the observation target;

[0138] The consistent interpretation and description of the observed target is used as fusion information.

[0139] Furthermore, the method of transmitting the fused information to the control resource layer through the aggregation transport layer using multi-service multi-hop access technology and secure transmission technology includes:

[0140] The multi-modal millimeter wave system in the aggregated transmission layer selects the transmission frequency band according to the channel status. If the distance between the load terminal layer and the control resource layer is less than the set threshold, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology. Otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment.

[0141] The multi-mode microwave system in the aggregated transmission layer selects a transmission frequency band according to the channel status, and transmits the information in the microwave device to the control resource layer through a secure transmission technology;

[0142] The frequency band adaptive switching system in the aggregated transmission layer switches the transmission frequency band using adaptive switching technology according to the transmission rate and the decision threshold.

[0143] The following is a further introduction to the adaptive switching technology:

[0144] To ensure flexible frequency switching during power information transmission, adaptive frequency band switching technology was designed. Using the transmission rate as the decision threshold, this technology ensures a stable communication connection while also accounting for frequent frequency band switching due to jitter. This seamless integration of large and small scales effectively reduces wired deployment costs.

[0145] The adaptive switching technology includes the following steps:

[0146] S1: Get the transmission rate expression between nodes

[0147] The transmission rate between each node c ij satisfy:

[0148] Where cij The value of is greater than 0, which refers to the communication rate between node i and node j, g ij is the channel direct gain, p j is the transmission power of j, and σ is the Gaussian noise with zero mean. ij is the path loss between node i and node j.

[0149] S2: Get the decision condition for frequency band switching

[0150] The condition for switching frequency band is c ij The size of c th is a certain transmission rate threshold, when c ij Decay to c th , indicating that the channel conditions can no longer provide a stable communication connection for 60Ghz, and it is necessary to switch to 5.8G and select frequency band f c It can be expressed as:

[0151] S3: Consider the jitter of channel status and optimize the decision formula

[0152] Considering that the channel change is not necessarily smooth, c ij The change of c will also cause jitter, that is, under ideal conditions, ij As shown in 801 in FIG8 , when there is jitter in the channel change, c ij The changes are shown in 802.

[0153] In this case, assuming c ij =31, that is, when 803 is shown in the figure, the frequency band will be frequently switched due to jitter during the process from t=1.5 to t=3. In order to alleviate this problem, the high threshold rate c is set. high and the lower threshold rate c low , and c high >c low When at 5.8Ghz, c ij Greater than c high It will switch to 60Ghz. When it is at 60Ghz, c ij Less than c low Only then will it switch to 5.8 GHz, and the formula (2) will be improved to:

[0154] Furthermore, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology, including:

[0155] Substitute the information collected by the load terminal layer into the pre-built eavesdropping channel model;

[0156] Determine the Euclidean distance of impulse responses in the main channel of the pre-built eavesdropping channel model, and merge the sub-channels with the smallest Euclidean distance of impulse responses in the main channel;

[0157] Artificial noise is inserted into the transmission signal of the pre-built eavesdropping channel model to securely transmit the information collected by the load terminal layer.

[0158] Furthermore, the pre-built eavesdropping channel model includes: a transmitting end, a main channel, a receiving end, an eavesdropping channel and an eavesdropping end;

[0159] The transmitting end and the receiving end transmit confidential information via the primary channel;

[0160] The eavesdropping terminal eavesdrops on the confidential information transmitted on the main channel through the eavesdropping channel.

[0161] The following is a further introduction to secure transmission technology:

[0162] S1: Construct eavesdropping channel model

[0163] The eavesdropping channel model is shown in Figure 9. The model consists of three parts: a legitimate transmitter, a legitimate receiver, and a potential eavesdropper. The transmitter sends confidential information to the receiver, and the eavesdropper attempts to eavesdrop on the confidential information sent by the transmitter.

[0164] It has been proven that when the channel quality of the legitimate link is better than that of the eavesdropped link, the legitimate nodes can achieve completely confidential communication without relying on keys. The maximum rate that can be achieved is called security capacity, which is used to measure the security performance index of legitimate user communication. It can be expressed mathematically as: C s =max[I(X;Y)-I(X;E)] (4)

[0165] Where I(X; Y) and I(X; E) represent the mutual information of the legitimate link and the eavesdropped link, respectively. Based on this, Leung and Hellman proposed the Gaussian eavesdropping channel model, and the expression of security capacity can be simplified to:

[0166] S2: Antenna Grouping

[0167] Antenna spacing should be appropriately widened to ensure independence between transmitted and received signals. Therefore, a correlation coefficient ρ of a subchannel matrix is ​​established. By designing an antenna grouping algorithm, the sum of the correlation coefficients of all groups is minimized to achieve the optimal grouping solution. Grouping optimization is performed with minimizing the correlation coefficient as the objective function. This optimization problem can be expressed as the following formula:

[0168] Among them, ρ represents the correlation coefficient between the two sub-channels, h i and h j represents subchannels i and j, Z represents the number of antenna groups, N d Indicates the number of antennas in a group.

[0169] For a remote terminal, the base station allocates a portion of its antennas to communicate with it. These antennas act as relays while forwarding other signals. During communication, the signals transmitted by each antenna group are time-interleaved, and then a specific group and user are selected for communication. For relays with lower security levels, the number of relay antennas is smaller than that of the base station. In this case, the base station antennas utilize the randomness of channel state information to group the signals and perform time-interleaving. In this case, the relay cannot obtain the antenna combination list, and therefore cannot deinterleave the signals in the time domain, and therefore cannot decode the signals.

[0170] From the perspective of the entire system, overlapping space-time signals present interference to the cooperative relay, but are completely decodable by both parties involved in the communication match. While reducing channel correlation, the antenna grouping scheme effectively degrades the relay eavesdropping channel, increasing the advantage of legitimate channels over illegitimate ones, thereby improving system security. Merging subchannels can increase the achievable rate of the legitimate channel. In this case, due to the randomness of the eavesdropping channel, the achievable rate of the eavesdropper does not increase. Therefore, the proposed antenna grouping method can improve the system's security rate.

[0171] S3: Adding artificial noise

[0172] The eavesdropper isn't a single entity; instead, it's randomly distributed around the target transmitter and receiver, conducting the eavesdropping process. If the eavesdropper is closer to the transmitter than the legitimate receiver, short-range interception becomes a problem. In this case, since the eavesdropper's receiving gain is greater than that of the legitimate receiver, even using spatial beamforming is difficult to achieve satisfactory security performance. Artificial noise can be inserted into the transmitted signal to confuse the eavesdropper. It's worth noting that both the legitimate transmitter and the legitimate receiver can generate artificial noise, as shown in Figure 10.

[0173] The key to artificial noise design is to prevent interference from leaking to legitimate receivers while simultaneously impacting the received signal at the eavesdropper's end. By leveraging the spatial freedom provided by large-scale antenna arrays and using beamforming to jointly adjust the direction of the artificial noise and transmitted signal, the security of the communication system is improved.

[0174] The embodiment of the present application divides the outdoor and indoor areas into multi-mode microwave systems and multi-mode millimeter wave systems according to the transmission scenarios, maximizes the transmission rate while ensuring stable transmission, and realizes rapid regulation of the power load system.

[0175] In addition, the embodiments of the present application also determine respective multi-band networking solutions for multi-mode microwave systems and multi-mode millimeter wave systems, solving the problem of single frequency bands and modes of existing microwave and millimeter wave devices on the market, and realizing seamless switching between multiple devices and different communication devices.

[0176] Example 3:

[0177] Based on the same concept, an embodiment of the present application also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a power load control method in the above embodiment.

[0178] Example 4:

[0179] Based on the same concept, an embodiment of the present application also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a power load control method in the above embodiment.

[0180] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the embodiments of the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0181] The present application embodiment is described with reference to the flow chart and / or block diagram according to the method, device (system) and computer program product of the embodiment of the present application.It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processor of general-purpose computer, special-purpose computer, embedded processing machine or other programmable data processing equipment to produce a machine, so that the instruction executed by the processor of computer or other programmable data processing equipment produces the device for realizing the function specified in one flow chart flow chart or multiple flow charts and / or one block or multiple blocks of block diagram.

[0182] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0184] The above are merely embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application are included in the scope of the claims of the present application to be approved.

Claims

1. A power load control system based on a high-speed wireless transmission network, comprising: Control resource layer, aggregate transmission layer and load terminal layer: The load terminal layer is connected to each terminal device respectively, and is used to collect information of each terminal device, fuse the information of each terminal device, issue control instructions to each terminal device or transmit the fused information to the aggregation transmission layer; The aggregation transmission layer is used to transmit the fused information to the control resource layer using multi-service multi-hop access technology and secure transmission technology, and transmit the control instructions issued by the control resource layer to the load terminal layer; The control resource layer is used to generate control instructions for each terminal device based on the fused information, and transmit the control instructions to the aggregation transmission layer.

2. The system of claim 1, wherein: The load terminal layer includes: a plurality of intelligent units and a hub; Each intelligent unit is connected to an observation target and is used to collect data of the observation target; The multiple intelligent units are all connected to the hub.

3. The system of claim 1 or 2, wherein: The aggregate transmission layer includes: a multi-mode microwave system, a multi-mode millimeter wave system and a frequency band adaptive switching system; The multi-mode millimeter wave system is used to select a transmission frequency band according to the channel state. If the distance between the load terminal layer and the control resource layer is less than a set threshold, the information collected by the load terminal layer is transmitted to the control resource layer through a secure transmission technology; otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment; The multi-mode microwave system is used to select a transmission frequency band according to a channel state, and transmit information in the microwave device to the control resource layer through a secure transmission technology; The frequency band adaptive switching system is used to switch the transmission frequency band using an adaptive switching technology according to the transmission rate and the decision threshold.

4. A method for controlling power load based on a high-speed wireless transmission network, comprising: Collect information of each terminal device through the load terminal layer, and fuse the information of each terminal device to obtain fused information; The fused information is transmitted to the control resource layer through the aggregation transmission layer using multi-service multi-hop access technology and secure transmission technology; The control resource layer generates control instructions for each terminal device based on the fused information, and controls the aggregated transport layer based on the control instructions.

5. The method of claim 4, wherein: The method of collecting information of each terminal device through the load terminal layer and fusing the information of each terminal device to obtain fused information includes: The data of the observation target is collected through the intelligent unit connected to the observation target, and features are extracted from the data of the observation target, and the extracted feature vectors are identified to obtain data annotation of the intelligent unit and description data of the observation target; Group the description data of the observation targets of each smart unit according to the same observation target; The data of the observed targets collected by the same group of intelligent units are synthesized by the hub using a fusion algorithm to obtain a consistent explanation and description of the observed targets; The consistent explanation and description of the observed target is used as fusion information.

6. The method according to claim 4 or 5, wherein: The method of transmitting the fused information to the control resource layer through the aggregation transmission layer using the multi-service multi-hop access technology and the secure transmission technology includes: The multi-modal millimeter wave system in the aggregated transmission layer selects a transmission frequency band according to the channel state. If the distance between the load terminal layer and the regulation resource layer is less than a set threshold, the information collected by the load terminal layer is transmitted to the regulation resource layer through a secure transmission technology. Otherwise, the information collected by the load terminal layer is transmitted to the microwave equipment. The multi-mode microwave system in the aggregate transmission layer selects a transmission frequency band according to the channel state, and transmits the information in the microwave device to the control resource layer through a secure transmission technology; The frequency band adaptive switching system in the aggregate transmission layer switches the transmission frequency band using an adaptive switching technology according to the transmission rate and the decision threshold.

7. The method of claim 6, wherein: The transmitting the information collected by the load terminal layer to the control resource layer through a secure transmission technology includes: Substituting the information collected by the load terminal layer into a pre-built eavesdropping channel model; Determine the Euclidean distance of the impulse response in the main channel of the pre-built eavesdropping channel model and merge the Euclidean distance of the impulse response in the main channel. The subchannel with the smallest distance; Artificial noise is inserted into the transmission signal of the pre-built eavesdropping channel model to transmit the information collected by the load terminal layer securely.

8. The method of claim 7, wherein: The pre-built eavesdropping channel model includes: a transmitting end, a main channel, a receiving end, an eavesdropping channel and an eavesdropping end; The transmitting end and the receiving end transmit confidential information via the main channel; The eavesdropping end eavesdrops on the confidential information transmitted by the main channel through the eavesdropping channel.

9. A computer device comprising: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, a method for controlling electric load based on a high-speed wireless transmission network as described in any one of claims 4 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method for controlling electric load based on a high-speed wireless transmission network as claimed in any one of claims 4 to 8 is implemented.

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