Multi-mode emergency communication system for power disaster rescue

Abstract

The present invention provides a multi-mode emergency communication system for power disaster rescue, which relates to the field of power disaster processing technology, including: a data acquisition module for real-time acquisition of equipment status parameters, environmental vibration data and geospatial information through a sensor array deployed at power equipment nodes, and synchronization of multi-source heterogeneous data with the disaster warning data stream of the meteorological satellite to generate a fusion data set aligned in time and space; the sensor array includes three monitoring nodes; a geometric correction module for dynamically calculating the change rate of each side length and the three internal angle offset based on the three monitoring nodes, generating a geometric correction value characterizing the environmental vibration intensity through weighted fusion, and dynamically compensating the satellite link carrier-to-noise ratio based on the geometric correction value, and outputting an adjusted demand control threshold. The present invention realizes data fusion, communication optimization, and precise command distribution through multi-module collaboration, effectively solving the communication problems of traditional power disaster rescue and improving rescue efficiency and decision-making accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of power disaster processing, and in particular to a multi-mode emergency communication system for power disaster rescue. Background Art

[0002] During power system disaster relief, the paralysis of traditional communication base stations and the severe disturbance of the electromagnetic environment make conventional communication methods (such as optical fiber and microwave) unable to meet emergency needs. Existing emergency communication technologies mostly use a single communication mode (such as shortwave or independent satellite networking).

[0003] Specifically, differences in the formats and frequency of data collection between power equipment status parameters (such as vibration and deformation), geospatial information, and meteorological warning data make it difficult to align data in time and space, making it difficult to accurately support rescue decisions. For example, during earthquake rescue, equipment vibration data and meteorological warning data cannot be effectively integrated, hindering the assessment of disaster trends.

[0004] Furthermore, ionospheric disturbances cause frequency attenuation and signal distortion, making fixed-band communications highly susceptible to interruption. Furthermore, there is a lack of a mechanism to dynamically adjust communication resources based on device status. When backbone communications are interrupted, existing technologies rely on pre-set relay nodes and cannot flexibly activate redundant links based on the real-time status of devices. For example, power line carrier communications require the pre-deployment of relay equipment, making it difficult to respond quickly to sudden disasters. Disaster scenario matching also relies too heavily on manual experience, resulting in delayed generation of rescue instructions. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a multi-mode emergency communication system for power disaster rescue, which adaptively optimizes the communication frequency band and intelligently generates rescue instructions, thereby improving the communication reliability and decision-making response efficiency in complex disaster environments.

[0006] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0007] First, a multi-mode emergency communication system for power disaster relief, including:

[0008] A data acquisition module is used to collect equipment status parameters, environmental vibration data, and geospatial information in real time through a sensor array deployed at power equipment nodes, and synchronize multi-source heterogeneous data with disaster warning data streams from meteorological satellites to generate a spatiotemporally aligned fusion data set; the sensor array includes three monitoring nodes;

[0009] The geometric correction module is used to dynamically calculate the rate of change of each side length and the offset of the three internal angles based on the three monitoring nodes, generate a geometric correction value that represents the intensity of the environmental vibration through weighted fusion, and dynamically compensate the satellite link carrier-to-noise ratio based on the geometric correction value to output the adjusted demand control threshold;

[0010] The dynamic spectrum allocation module receives the adjusted demand control threshold, monitors the ionospheric disturbance parameters in real time, and dynamically allocates communication frequency bands using a nonlinear frequency hopping strategy to generate optimized frequency band parameter sets for shortwave and ultra-shortwave dual-mode base stations. It also dynamically allocates communication resource priorities based on device status parameters within the triangular closed area associated with the geometric correction value.

[0011] The command distribution module is used to receive the optimized frequency band parameter set and geometric correction value, activate the power line carrier relay channel when the backbone communication is interrupted, generate multi-dimensional rescue instructions by matching the geometric correction value with the preset disaster scenario knowledge base, and distribute adaptive control instructions containing voice, data and video transmission priorities to the command center, mobile emergency vehicles and on-site terminals through the star topology network based on the priority of communication resources.

[0012] Furthermore, the system dynamically calculates the change rate of each side length and the offset of the three internal angles based on the three monitoring nodes, generates a geometric correction value that represents the environmental vibration intensity through weighted fusion, and dynamically compensates the satellite link carrier-to-noise ratio based on the geometric correction value to output the adjusted demand control threshold, including:

[0013] According to the real-time coordinate data of the three monitoring nodes, the instantaneous change rate of the length of each side of the equilateral triangle and the offset of the three internal angles are calculated;

[0014] The instantaneous rate of change of each side length is weighted and fused with the preset vibration sensitivity coefficient. At the same time, the real-time offset of the three inner angles is weighted and fused with the preset angle offset threshold to generate a geometric correction value that represents the intensity of the ambient vibration.

[0015] Dynamically compensating the carrier-to-noise ratio of the satellite link based on the geometric correction value to obtain a compensated carrier-to-noise ratio;

[0016] The demand control threshold is dynamically adjusted according to the compensated carrier-to-noise ratio, and the adjusted demand control threshold is output.

[0017] Furthermore, the three monitoring nodes are respectively deployed at the tripod support points of the power equipment base and the top lightning rod base, forming an equilateral triangle with a side length of 1.5 times the equipment reference size, and obtaining the triangle vertex coordinate data in real time.

[0018] Furthermore, the instantaneous change rate of each side length is weighted and fused with the preset vibration sensitivity coefficient, and the real-time offset of the three inner angles is weighted and fused with the preset angle offset threshold to generate a geometric correction value representing the ambient vibration intensity, including:

[0019] Based on the historical vibration data of the power equipment, the vibration sensitivity coefficient is set, and the instantaneous change rate of each side length is integrated with the vibration sensitivity coefficient to generate the first correction component that characterizes the vibration of the equipment base;

[0020] Dynamically adjust the tolerance range of the angle offset threshold based on the base vibration intensity represented by the first correction component, and calculate the difference between the real-time offset of the three inner angles and the adjusted angle offset threshold to generate a second correction component representing the deformation of the device structure;

[0021] The first correction component and the second correction component are linearly combined according to a preset fusion ratio to generate a geometric correction value representing the intensity of the ambient vibration.

[0022] Furthermore, the system receives the adjusted demand control threshold, monitors the ionospheric disturbance parameters in real time, and uses a nonlinear frequency hopping strategy to dynamically allocate communication frequency bands. This generates an optimized frequency band parameter set for shortwave and ultra-shortwave dual-mode base stations. Furthermore, based on the device status parameters within the triangle closed area associated with the geometric correction value, it dynamically allocates communication resource priorities, including:

[0023] Based on the adjusted demand control threshold, the critical frequency and signal attenuation rate in the ionospheric disturbance parameters are monitored in real time to generate ionospheric state assessment results;

[0024] Based on the critical frequency fluctuation range in the ionospheric state assessment results, a nonlinear frequency hopping strategy is used to dynamically switch the communication band between the shortwave band and the ultra-shortwave band to generate an optimized frequency band parameter set for the dual-mode base station.

[0025] Based on the real-time changes in device status parameters within the triangular closed area associated with the geometric correction value, the device inclination, temperature anomaly and voltage fluctuation level are judged, and the communication resource priority for voice, data and video transmission is dynamically allocated.

[0026] Furthermore, based on the critical frequency fluctuation range in the ionospheric state assessment results, a nonlinear frequency hopping strategy is used to dynamically switch the communication band between the shortwave band and the ultra-shortwave band, generating an optimized frequency band parameter set for the dual-mode base station, including:

[0027] Based on the critical frequency fluctuation range in the ionospheric state assessment results, the switching trigger threshold intervals for the shortwave and ultra-shortwave bands are divided. When the critical frequency fluctuation range exceeds ±10%, the frequency band switching is triggered.

[0028] When the frequency band switching is triggered, the channel stability of the shortwave band or ultra-shortwave band is judged according to the difference between the current signal attenuation rate and the preset communication quality index. If the difference in the communication quality index exceeds the preset threshold, the ultra-shortwave band is switched to as the main communication band, otherwise the shortwave band is maintained;

[0029] Based on the real-time channel quality parameters of the main communication frequency band, the transmission power ratio of the shortwave and ultra-shortwave dual-mode base station is dynamically allocated. That is, when the main frequency band is shortwave, the shortwave and ultra-shortwave power are allocated in a ratio of 7:3; when the main frequency band is ultra-shortwave, the power is allocated in a ratio of 4:6;

[0030] According to the power allocation ratio and the main communication frequency band parameters, an optimized frequency band parameter set including the frequency band center frequency, bandwidth and transmit power is generated.

[0031] Furthermore, it receives optimized frequency band parameter sets and geometric correction values, activates the power line carrier relay channel when backbone communication is interrupted, generates multi-dimensional rescue instructions by matching the geometric correction values ​​with a preset disaster scenario knowledge base, and distributes adaptive control instructions containing voice, data, and video transmission priorities to the command center, mobile emergency vehicles, and on-site terminals via a star topology network based on communication resource priorities. These instructions include:

[0032] When a trunk communication interruption is detected, the power line carrier relay channel is activated based on the frequency band center frequency and transmission power parameters in the optimized frequency band parameter set to establish a redundant communication link with the command center;

[0033] Through redundant communication links, the geometric correction value is matched with the earthquake vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire thermal radiation diffusion trajectory in the pre-set disaster scenario knowledge base to generate multi-dimensional rescue instructions including equipment repair priority, personnel evacuation path, and emergency power supply range.

[0034] Based on the equipment repair priority in the multi-dimensional rescue instructions, adaptive control instructions are distributed in the star topology network in the order of voice transmission > data synchronization > video return.

[0035] Furthermore, the adaptive control instructions include:

[0036] Based on the frequency band-priority binding relationship of the optimized frequency band parameter set, voice transmission is bound to the ultra-short wave band, and video backhaul is bound to the short wave band;

[0037] When it is detected that the channel quality of the ultra-short wave band is lower than the preset threshold, the voice transmission is dynamically switched to the idle sub-band of the short wave band according to the disaster scenario matching result associated with the geometric correction value.

[0038] In a second aspect, a computing device includes:

[0039] one or more processors;

[0040] The storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method.

[0041] According to a third aspect, a computer-readable storage medium stores a program, which implements the method described above when executed by a processor.

[0042] The above solution of the present invention includes at least the following beneficial effects:

[0043] By deploying sensor arrays and synchronizing data with meteorological satellites, multi-source heterogeneous data is integrated into a spatiotemporally aligned fusion dataset. This overcomes alignment challenges caused by differences in data formats and acquisition frequencies, providing high-precision, real-time data support for rescue decision-making and enabling more accurate assessment of disaster trends. Correction values ​​are generated by calculating geometric parameters based on three monitoring nodes, dynamically compensating for the satellite link's carrier-to-noise ratio (CNR), effectively addressing signal attenuation and distortion caused by ionospheric disturbances.

[0044] Dynamically switching communication frequency bands based on demand control thresholds and ionospheric parameters, and prioritizing resources based on device status, prevents communication interruptions in fixed frequency bands. This allows for coordinated optimization of device status and communication resources, ensuring the prioritized transmission of critical information. In the event of a trunk communication interruption, the power line carrier relay channel is activated based on the device's real-time status. Multi-dimensional rescue instructions are rapidly generated by matching the disaster scenario knowledge base, and adaptive control instructions are distributed based on priority. This changes the current reliance on pre-set relay nodes and manual experience, enabling the rapid and accurate issuance of rescue instructions and improving rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a schematic diagram of a multi-mode emergency communication system for power disaster rescue provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0047] like Figure 1 As shown, an embodiment of the present invention proposes a multi-mode emergency communication system for power disaster relief, including:

[0048] A data acquisition module is used to collect equipment status parameters, environmental vibration data, and geospatial information in real time through a sensor array deployed at power equipment nodes, and synchronize multi-source heterogeneous data with disaster warning data streams from meteorological satellites to generate a spatiotemporally aligned fusion data set; the sensor array includes three monitoring nodes;

[0049] The geometric correction module is used to dynamically calculate the rate of change of each side length and the offset of the three internal angles based on the three monitoring nodes, generate a geometric correction value that represents the intensity of the environmental vibration through weighted fusion, and dynamically compensate the satellite link carrier-to-noise ratio based on the geometric correction value to output the adjusted demand control threshold;

[0050] The dynamic spectrum allocation module receives the adjusted demand control threshold, monitors the ionospheric disturbance parameters in real time, and dynamically allocates communication frequency bands using a nonlinear frequency hopping strategy to generate optimized frequency band parameter sets for shortwave and ultra-shortwave dual-mode base stations. It also dynamically allocates communication resource priorities based on device status parameters within the triangular closed area associated with the geometric correction value.

[0051] The command distribution module is used to receive the optimized frequency band parameter set and geometric correction value, activate the power line carrier relay channel when the backbone communication is interrupted, generate multi-dimensional rescue instructions by matching the geometric correction value with the preset disaster scenario knowledge base, and distribute adaptive control instructions containing voice, data and video transmission priorities to the command center, mobile emergency vehicles and on-site terminals through the star topology network based on the priority of communication resources.

[0052] In an embodiment of the present invention, the data acquisition module realizes multi-source fusion of power equipment status, environmental vibration, geospatial information and meteorological disaster warning data, constructs a time-space aligned data set, and can comprehensively and accurately present the power equipment and environmental conditions before and after the disaster occurs, which helps to predict disaster risks in advance and grasp the equipment damage trend.

[0053] By establishing a geometric relationship between three monitoring nodes, environmental vibration is converted into a quantifiable geometric correction value. This not only accurately assesses the environmental vibration intensity but also dynamically compensates for the satellite link carrier-to-noise ratio, ensuring signal stability in complex vibration environments. This allows for more appropriate demand control thresholds and enhances the communication system's anti-interference capabilities. Based on the demand control thresholds and ionospheric disturbances, a nonlinear frequency hopping strategy is employed to dynamically allocate communication frequency bands. This allows the shortwave and ultra-shortwave dual-mode base stations to flexibly adapt to ionospheric changes and obtain optimized frequency band parameter sets. Furthermore, dynamic allocation of communication resource priorities based on device status parameters prioritizes the transmission of critical rescue information (such as voice commands), improving communication resource utilization efficiency and the timeliness of rescue information delivery.

[0054] When backbone communications are interrupted, the power line carrier relay channel is quickly activated to establish a redundant communication link, ensuring uninterrupted communication. By matching geometric correction values ​​with a disaster scenario knowledge base, multi-dimensional rescue instructions covering equipment repair, personnel evacuation, and emergency power supply are generated. Adaptive control instructions are precisely distributed through a star-topology network based on communication resource priority, ensuring efficient coordination between the command center and on-site rescue forces, improving the overall effectiveness of rescue operations.

[0055] In a preferred embodiment of the present invention, the rate of change of each side length and the offset of the three internal angles are dynamically calculated based on three monitoring nodes, a geometric correction value representing the intensity of the environmental vibration is generated through weighted fusion, and the satellite link carrier-to-noise ratio is dynamically compensated based on the geometric correction value to output an adjusted demand control threshold, which may include:

[0056] Based on the real-time coordinate data of three monitoring nodes, the instantaneous rate of change of the length of each side of the equilateral triangle and the offset of the three internal angles are calculated; the three monitoring nodes are respectively deployed at the tripod support points of the power equipment base and the top lightning rod base, forming an equilateral triangle with a side length of 1.5 times the equipment's reference size, and the coordinate data of the triangle vertices are obtained in real time;

[0057] The instantaneous change rate of each side length is weighted and fused with the preset vibration sensitivity coefficient. At the same time, the real-time offset of the three inner angles is weighted and fused with the preset angle offset threshold to generate a geometric correction value that represents the intensity of the ambient vibration. Specifically, it includes:

[0058] Based on the historical vibration data of the power equipment, the vibration sensitivity coefficient is set, and the instantaneous change rate of each side length is integrated with the vibration sensitivity coefficient to generate the first correction component that characterizes the vibration of the equipment base;

[0059] Dynamically adjust the tolerance range of the angle offset threshold based on the base vibration intensity represented by the first correction component, and calculate the difference between the real-time offset of the three inner angles and the adjusted angle offset threshold to generate a second correction component representing the deformation of the device structure;

[0060] Linearly combining the first correction component and the second correction component according to a preset fusion ratio to generate a geometric correction value representing the intensity of the ambient vibration;

[0061] Dynamically compensating the carrier-to-noise ratio of the satellite link based on the geometric correction value to obtain a compensated carrier-to-noise ratio;

[0062] The demand control threshold is dynamically adjusted according to the compensated carrier-to-noise ratio, and the adjusted demand control threshold is output.

[0063] In an embodiment of the present invention, monitoring node layout and data acquisition:

[0064] On power equipment, three monitoring nodes form an equilateral triangle layout: one node is installed at each of the three support points of the equipment base, and another is installed at the top lightning rod base. For example, if the base size of a transformer is 2 meters, the length of the equilateral triangle is set to 3 meters (1.5 times the base size of the equipment). The system uses a built-in positioning device to continuously obtain real-time coordinate data for each monitoring node, and the coordinate data is accurate to the centimeter level. Under the influence of environmental vibrations such as earthquakes or strong winds, the equipment will shake, and the position of the monitoring node will change accordingly. The system will update this coordinate data in real time at a frequency of milliseconds to ensure the most up-to-date node location information.

[0065] Calculate the rate of change of side length and internal angle offset:

[0066] After obtaining the real-time coordinate data of the three monitoring nodes, the system uses spatial geometry to calculate the straight-line distances between the nodes and determine the lengths of the three sides of an equilateral triangle at a specific moment. For example, at time t1, the lengths of the three sides, AB, BC, and CA, are calculated. After a very short time, at time t2, the lengths of the three sides are calculated again. By comparing the lengths of the sides at t1 and t2, for example, if side AB is 3 meters at t1 and 3.01 meters at t2, the instantaneous rate of change of side AB reflects the speed of change in length during this very short period. Furthermore, using trigonometric relationships, the angles of the three internal angles of the triangle at a specific moment are calculated from the coordinates of the three monitoring nodes. These calculated real-time angles are compared with the internal angles when the equipment is installed and not subject to vibration (initial state). If the initial internal angle is 60° and the real-time calculated angle is 60.5°, the internal angle offset is 0.5°, reflecting the change in internal angle.

[0067] Generate geometry correction values:

[0068] Setting the vibration sensitivity coefficient and determining the first correction component The vibration sensitivity coefficient is set in advance according to the type of power equipment and the use environment. For example, for a large substation main transformer installed in an earthquake-prone area, since earthquakes may cause strong vibrations, its vibration sensitivity coefficient will be set in a higher range of 0.8-1.0; while for small distribution transformers located in the suburbs of the city and in relatively stable environments, the vibration sensitivity coefficient is set at 0.3-0.5. When weighted fusion is performed on the instantaneous change rate of each side length and the vibration sensitivity coefficient, a higher weight (such as 70%-80%) is given to the vibration sensitivity coefficient, and a weight of 20%-30% is given to the side length change rate. Assume that at the beginning of an earthquake, the length of one side of the triangle formed by the monitoring nodes of a substation main transformer changes from 3 meters to 3.05 meters, and the instantaneous change rate is ≈0.0167, the vibration sensitivity coefficient is set to 0.9, then the first correction component is calculated as: 0.0167×0.3+0.9×0.7=0.63501, which directly reflects the vibration change of the equipment base caused by the earthquake.

[0069] Dynamically adjust the tolerance range and calculate the second correction component. When the first correction component indicates a high vibration intensity at the device base (e.g., exceeding 0.5), the tolerance range of the angle offset threshold is dynamically adjusted according to preset rules. For example, if the original angle offset threshold tolerance range is ±0.5°, when the first correction component reaches 0.6, the tolerance range is narrowed to ±0.2°. Calculate the difference between the real-time offset of the three internal angles and the adjusted angle offset threshold. Assuming the real-time offset of an internal angle is 0.3° and the adjusted threshold is 0.2°, the difference is 0.3-0.2=0.1. This value reflects the degree of deformation of the device structure caused by vibration and is used to generate the second correction component.

[0070] The linear combination generates the geometric correction value by linearly combining the first and second correction components according to a pre-set fusion ratio based on the equipment characteristics and application scenario. For high-voltage transmission equipment that is more sensitive to vibration, the first correction component is weighted at 60% and the second correction component at 40%. For equipment with relatively stable power tower foundations, the weighting ratio may be adjusted to 50% and 50%.

[0071] Taking the main transformer of the aforementioned substation as an example, if the first correction component is 0.63501, the second correction component is 0.1, and the fusion ratio is 6:4, then the geometric correction value is: 0.63501×0.6+0.1×0.4=0.421006, which comprehensively reflects the intensity of the impact of the current environmental vibration on the power equipment.

[0072] Satellite link carrier-to-noise ratio compensation and demand control threshold adjustment:

[0073] The satellite link carrier-to-noise ratio compensation system, based on geometric correction values, monitors the magnitude and changing trends of the geometric correction values ​​in real time. For example, when power transmission line equipment installed in mountainous areas experiences vibration caused by a landslide, if the geometric correction value gradually increases from an initial 0.2 to 0.6 and maintains this upward trend over 10 minutes, it indicates increasing environmental vibration intensity. This vibration can interfere with satellite signal transmission, degrading satellite link signal quality.

[0074] The correspondence between the geometric correction value and the carrier-to-noise ratio compensation is pre-set: when the geometric correction value is in the range of 0.1-0.3, it is considered that the vibration has little impact on the signal and no compensation is required; in the range of 0.3-0.5, compensation is performed by increasing the carrier-to-noise ratio by 2dB for every 0.1 increase in the geometric correction value; when the geometric correction value exceeds 0.5, the carrier-to-noise ratio is increased by 5dB for every 0.1 increase in the geometric correction value. If the geometric correction value reaches 0.6, the system will increase the carrier-to-noise ratio from the initial 15dB to 15dB+5dB×2=25dB. By increasing signal power, optimizing the modulation method and other compensation mechanisms, the signal interference caused by vibration is offset, resulting in a compensated carrier-to-noise ratio of 25dB, improving the stability and quality of the satellite link signal. The adjustment range of the demand control threshold based on the compensated carrier-to-noise ratio is set between 50Mbps-300Mbps, and the specific value is dynamically determined based on the compensated carrier-to-noise ratio. For power disaster relief communication scenarios, the association strategy between the demand control threshold and the carrier-to-noise ratio is pre-set:

[0075] When the carrier-to-noise ratio is lower than 18dB, to ensure stable communication, the demand control threshold is set to the minimum value of 50Mbps, strictly limiting the data transmission rate and giving priority to the transmission of key commands such as voice.

[0076] When the carrier-to-noise ratio is between 18-22dB, the threshold is raised to 100Mbps, allowing a small amount of data to be transmitted simultaneously while ensuring basic stability.

[0077] When the carrier-to-noise ratio is in the 22-26dB range, the threshold is further increased to 180Mbps, which can support regular data and low-quality video transmission;

[0078] If the carrier-to-noise ratio exceeds 26dB, the signal quality is considered good, and the demand control threshold is raised to a maximum value of 300Mbps, allowing the system to transmit high-capacity services such as high-definition video and large amounts of device status data.

[0079] In the above example, the compensated carrier-to-noise ratio is 25dB, raising the demand control threshold from 180Mbps to 300Mbps. This allows services such as high-definition video backhaul and large-scale device status data transmission at the rescue site to proceed more smoothly. Conversely, if the compensated carrier-to-noise ratio is only increased to 22dB, maintaining the demand control threshold at 180Mbps prevents packet loss due to excessively high transmission rates and ensures communication link stability. Through this dynamic and refined adjustment, a demand control threshold that meets the current satellite link quality is ultimately determined.

[0080] This calculation process converts environmental vibrations into quantifiable geometric correction values ​​through in-depth processing of monitoring node data, achieving precise monitoring and assessment of environmental vibration intensity and timely detection of subtle vibration changes in power equipment in disaster environments. Dynamic compensation of the satellite link carrier-to-noise ratio effectively improves the stability and reliability of satellite communications in complex vibration environments, ensures the quality of communication signals, and reduces the risk of signal interruption and data loss. The adjusted demand control threshold is more in line with actual environmental conditions, providing more accurate input parameters for subsequent modules such as dynamic spectrum allocation and command distribution. This helps optimize resource allocation and operational control of the entire emergency communication system, improves the efficiency and accuracy of power disaster rescue communications, and enables rescue work to be carried out more promptly and effectively.

[0081] In a preferred embodiment of the present invention, the adjusted demand control threshold is received, ionospheric disturbance parameters are monitored in real time, and a nonlinear frequency hopping strategy is used to dynamically allocate communication frequency bands to generate an optimized frequency band parameter set for a shortwave and ultrashortwave dual-mode base station. At the same time, based on device status parameters within a triangular closed area associated with a geometric correction value, communication resource priorities are dynamically allocated, which may include:

[0082] Based on the adjusted demand control threshold, the critical frequency and signal attenuation rate in the ionospheric disturbance parameters are monitored in real time to generate ionospheric state assessment results;

[0083] Based on the critical frequency fluctuation range in the ionospheric state assessment results, a nonlinear frequency hopping strategy is used to dynamically switch the communication band between the shortwave band and the ultra-shortwave band, generating an optimized frequency band parameter set for the dual-mode base station. Specifically, the following are included:

[0084] Based on the critical frequency fluctuation range in the ionospheric state assessment results, the switching trigger threshold intervals for the shortwave and ultra-shortwave bands are divided. When the critical frequency fluctuation range exceeds ±10%, the frequency band switching is triggered.

[0085] When the frequency band switching is triggered, the channel stability of the shortwave band or ultra-shortwave band is judged according to the difference between the current signal attenuation rate and the preset communication quality index. If the difference in the communication quality index exceeds the preset threshold, the ultra-shortwave band is switched to as the main communication band, otherwise the shortwave band is maintained;

[0086] Based on the real-time channel quality parameters of the main communication frequency band, the transmission power ratio of the shortwave and ultra-shortwave dual-mode base station is dynamically allocated. That is, when the main frequency band is shortwave, the shortwave and ultra-shortwave power are allocated in a ratio of 7:3; when the main frequency band is ultra-shortwave, the power is allocated in a ratio of 4:6;

[0087] Generate an optimized frequency band parameter set including the frequency band center frequency, bandwidth and transmit power according to the power allocation ratio and the main communication frequency band parameters;

[0088] Based on the real-time changes in device status parameters within the triangular closed area associated with the geometric correction value, the device inclination, temperature anomaly and voltage fluctuation level are judged, and the communication resource priority for voice, data and video transmission is dynamically allocated.

[0089] In this embodiment of the present invention, the adjusted demand control threshold is received and used as a benchmark for real-time monitoring of the critical frequency and signal attenuation rate, among the ionospheric disturbance parameters. For example, ground monitoring stations and satellite data indicate that the current critical frequency of the ionosphere is 10 MHz and the signal attenuation rate is 0.5 dB per kilometer. These parameters are compared and analyzed with historical data and standard parameters under normal conditions. Combined with the communication quality requirements of the demand control threshold, an ionospheric state assessment result is generated. If the critical frequency fluctuates dramatically within a short period of time, or the signal attenuation rate exceeds the normal range, the assessment result will indicate poor ionospheric state, potentially affecting communication quality.

[0090] Based on the critical frequency fluctuation range in the ionospheric state assessment results, switching trigger thresholds for the shortwave and ultra-shortwave bands are defined. Specifically, when the monitored critical frequency fluctuates by more than ±10% compared to the normal critical frequency, the frequency band switching mechanism is triggered. For example, if the normal critical frequency is 10 MHz, the frequency band switching trigger condition is met if the current critical frequency is below 9 MHz or above 11 MHz. When the frequency band switching is triggered, the difference between the current signal attenuation rate and the preset communication quality index is further analyzed. The preset communication quality index is set based on different communication service requirements. For example, voice communication requires a signal attenuation rate of no more than 0.8 dB per kilometer, while data transmission requires no more than 0.6 dB. If the current signal attenuation rate is 1.0 dB per kilometer, exceeding the preset data transmission threshold, the current frequency band (assuming it is the shortwave band) is considered unstable and the communication band is switched to the ultra-shortwave band as the primary communication band. If the signal attenuation rate does not exceed the preset threshold, the current shortwave band remains unchanged.

[0091] After determining the primary communication frequency band, the transmit power ratio of the shortwave and ultra-shortwave dual-mode base station is dynamically allocated based on the real-time channel quality parameters of the primary frequency band. When the primary frequency band is shortwave, the shortwave and ultra-shortwave power are allocated in a 7:3 ratio. For example, if the total transmit power of the dual-mode base station is set to 100W, 70W of power is allocated to the shortwave band and 30W to the ultra-shortwave band. When the primary frequency band is ultra-shortwave, the power is allocated in a 4:6 ratio: 60W to the ultra-shortwave band and 40W to the shortwave band. Based on the determined power allocation ratio and the primary communication frequency band parameters, an optimized frequency band parameter set is generated, including the frequency band center frequency, bandwidth, and transmit power. For example, if the primary communication frequency band is ultra-shortwave and the center frequency is set to 450MHz, combined with the dynamically allocated 60W transmit power and the preset bandwidth (e.g., 20MHz), the resulting optimized frequency band parameter set is: center frequency 450MHz, bandwidth 20MHz, and transmit power 60W.

[0092] Based on the real-time changes in equipment status parameters within the closed triangle area associated with the geometric correction value, the equipment's tilt, temperature anomalies, and voltage fluctuation levels are determined. For example, if sensor data indicates that the equipment's tilt exceeds 5°, it is determined to be highly dangerous; if the equipment temperature is 20°C higher than the normal operating temperature, it is determined to be a high temperature anomaly; and if the voltage fluctuation exceeds ±15% of the rated voltage, it is determined to be a high voltage fluctuation. Based on the danger level of these equipment conditions, communication resource priorities for voice, data, and video transmission are dynamically allocated. For highly dangerous equipment conditions, voice transmission is prioritized to ensure that on-site personnel can receive command instructions in a timely manner; data synchronization is secondly guaranteed to analyze the cause of the equipment failure; and finally, resources are allocated for video backhaul to assist in remote decision-making.

[0093] This dynamic spectrum allocation process, through multi-dimensional parameter monitoring and analysis, enables intelligent switching and optimization of communication frequency bands. This effectively mitigates the impact of ionospheric disturbances on communications and ensures the stability and reliability of communication links. Dynamically allocating transmit power ratios based on channel quality improves power efficiency and avoids resource waste. Dynamically allocating communication resource priorities based on device status parameters ensures that critical information and instructions are transmitted promptly and prioritized during power disaster relief efforts. This improves the response efficiency of the emergency communication system and the accuracy of rescue commands, providing strong communication support for power disaster relief efforts.

[0094] In a preferred embodiment of the present invention, an optimized frequency band parameter set and a geometric correction value are received, a power line carrier relay channel is activated when backbone communication is interrupted, multi-dimensional rescue instructions are generated by matching the geometric correction value with a preset disaster scenario knowledge base, and adaptive control instructions containing voice, data, and video transmission priorities are distributed to a command center, mobile emergency vehicles, and on-site terminals via a star topology network based on communication resource priorities. The instructions may include:

[0095] When a trunk communication interruption is detected, the power line carrier relay channel is activated based on the frequency band center frequency and transmission power parameters in the optimized frequency band parameter set to establish a redundant communication link with the command center;

[0096] Through redundant communication links, the geometric correction value is matched with the earthquake vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire thermal radiation diffusion trajectory in the pre-set disaster scenario knowledge base to generate multi-dimensional rescue instructions including equipment repair priority, personnel evacuation path, and emergency power supply range.

[0097] Based on the equipment repair priority in the multi-dimensional rescue instructions, adaptive control instructions are distributed in the star topology network in the order of voice transmission > data synchronization > video return. The adaptive control instructions include:

[0098] Based on the frequency band-priority binding relationship of the optimized frequency band parameter set, voice transmission is bound to the ultra-short wave band, and video backhaul is bound to the short wave band;

[0099] When it is detected that the channel quality of the ultra-short wave band is lower than the preset threshold, the voice transmission is dynamically switched to the idle sub-band of the short wave band according to the disaster scenario matching result associated with the geometric correction value.

[0100] In an embodiment of the present invention, monitoring equipment deployed at nodes on the backbone communication link collects parameters such as signal strength and packet loss rate in real time at a frequency of 10 times per second. For example, during a typhoon disaster, the system monitored a rapid drop in the signal strength of the backbone communication link from -70dBm to -100dBm (the preset interruption threshold is -90dBm), and the packet loss rate exceeded 30% for five consecutive seconds (e.g., 32% in the first second, 35% in the second second, 33% in the third second, 34% in the fourth second, and 31% in the fifth second). The system immediately determined that the backbone communication was interrupted.

[0101] At this point, the dynamic spectrum allocation module retrieves the latest optimized frequency band parameter set, assuming a center frequency of 450 MHz and a transmit power of 60 W. Based on the requirements of power line carrier communication protocols (such as the HomePlugAV protocol), the 450 MHz frequency is converted to a carrier frequency range suitable for power line transmission (for example, by selecting an available channel near 450 MHz within the power line carrier frequency band). Simultaneously, the power amplifier of the power line carrier device is adjusted to maintain a stable transmit power output of 60 W. Communication signals are injected into the power line network via coupling devices pre-installed at power line branch nodes. These coupling devices automatically match the impedance characteristics of the power lines to minimize signal reflection loss. Finally, within 100 milliseconds of a mainline communication interruption, a redundant communication link is established from the on-site mobile emergency vehicle terminal to the command center, ensuring uninterrupted voice and data transmission.

[0102] Using a newly established redundant communication link, the current geometric correction value (assuming it's 0.8, indicating strong environmental vibration) is deeply matched against a pre-set disaster scenario knowledge base. Each disaster type in the knowledge base contains multi-level feature data. For example, earthquakes are subdivided into shallow earthquakes (focal depth <60 km) and deep earthquakes (focal depth ≥60 km). Each type of earthquake is further divided into different vibration waveform spectral characteristics based on magnitude (e.g., 4.0-4.9, 5.0-5.9, etc.). Using a waveform similarity algorithm, the vibration data corresponding to the geometric correction value is compared with earthquake waveforms in the knowledge base. For example, if the waveform of the current vibration data within the 0.5-20Hz frequency range matches or exceeds 85% with the waveform of a shallow earthquake of magnitude 5.0-5.9 in the knowledge base, an earthquake disaster is determined. Then, further analysis is conducted based on equipment status parameters: if the inclination of a substation's main transformer exceeds 10° (detected by a tilt sensor installed on the equipment's tripod support point) and the voltage fluctuation exceeds ±20% of the rated voltage (monitored in real time by a voltage transformer), the transformer is designated as the highest priority for emergency repair.

[0103] At the same time, geographic information system (GIS) data was retrieved and, based on the earthquake epicenter and historical earthquake impact models, evacuation routes within a 3-kilometer radius were planned, avoiding areas at risk of landslides. Combining the location of the emergency power supply vehicle and the power network topology, the emergency power supply area was determined, centered on the emergency power supply vehicle and covering 10 surrounding distribution stations. Ultimately, a multi-dimensional rescue order containing three types of information was generated. Based on the equipment repair priority within the multi-dimensional rescue order, the system distributed the order within a star-topology network. First, based on frequency band-priority binding rules, voice transmission tasks were forcibly bound to the ultra-short wave (450-470MHz) band. For example, the handheld terminals used by on-site rescue personnel automatically tuned to the 455MHz channel, leveraging the stability of ultra-short wave (UHF) line-of-sight transmission to ensure clear transmission of voice commands from the command center (e.g., "Immediately cut off the power to line XX"). Video transmission was assigned to the shortwave band (3-30MHz). High-definition cameras mounted on drones on-site were transmitted to the command center's large screen via the 3.5MHz frequency band.

[0104] When the monitored ultra-shortwave band signal strength drops to -85dBm (the preset threshold is -80dBm) and the bit error rate exceeds 5% for 10 consecutive seconds, the frequency band switching mechanism is triggered. Based on the previously determined earthquake disaster type, the system prioritizes searching for idle sub-bands within the shortwave band. For example, within the 5-6MHz band, the system detects signal occupancy (if the current occupancy is less than 20%) and confirms that the band is idle. It then quickly switches the voice communication of the on-site handheld terminal to the 5.2MHz sub-band. During the switching process, the system automatically adjusts the voice coding format (for example, switching from AM modulation to FM modulation, which has stronger interference resistance) to ensure unnoticeable voice communication interruptions and dynamically distribute adaptive control commands.

[0105] By activating the power line carrier relay channel to establish a redundant communication link, the system effectively resolves the communication paralysis caused by trunk communication interruptions and ensures real-time information transmission during the rescue process. Generating multi-dimensional rescue commands based on disaster scenario matching enables rapid and accurate rescue strategy development, improving the relevance and efficiency of rescue efforts. Distributing adaptive control commands based on priority and dynamically switching communication frequency bands ensures the priority transmission and communication quality of critical rescue information (such as voice commands), avoiding information loss or delays due to channel interference. This provides reliable communication support for scientific decision-making by the command center and efficient execution of tasks by on-site rescue personnel, thereby improving the overall effectiveness of power disaster rescue.

[0106] An embodiment of the present invention further provides a computing device comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, executes the system described above. All implementations in the above system embodiments are applicable to this embodiment and can achieve the same technical effects.

[0107] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the system described above. All implementations in the above system embodiments are applicable to this embodiment and can achieve the same technical effects.

[0108] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A multi-mode emergency communication system for power disaster rescue, characterized by: include: A data acquisition module is used to collect equipment status parameters, environmental vibration data, and geospatial information in real time through a sensor array deployed at power equipment nodes, and synchronize multi-source heterogeneous data with disaster warning data streams from meteorological satellites to generate a spatiotemporally aligned fusion data set; the sensor array includes three monitoring nodes; The geometric correction module is used to dynamically calculate the rate of change of each side length and the offset of the three internal angles based on the three monitoring nodes, generate a geometric correction value that represents the intensity of the environmental vibration through weighted fusion, and dynamically compensate the satellite link carrier-to-noise ratio based on the geometric correction value to output the adjusted demand control threshold; The dynamic spectrum allocation module receives the adjusted demand control threshold, monitors the ionospheric disturbance parameters in real time, and dynamically allocates communication frequency bands using a nonlinear frequency hopping strategy to generate optimized frequency band parameter sets for shortwave and ultra-shortwave dual-mode base stations. It also dynamically allocates communication resource priorities based on device status parameters within the triangular closed area associated with the geometric correction value. The command distribution module is used to receive the optimized frequency band parameter set and geometric correction value, activate the power line carrier relay channel when the backbone communication is interrupted, generate multi-dimensional rescue instructions by matching the geometric correction value with the preset disaster scenario knowledge base, and distribute adaptive control instructions containing voice, data and video transmission priorities to the command center, mobile emergency vehicles and on-site terminals through the star topology network based on the priority of communication resources.

2. The multi-mode emergency communication system for power disaster rescue according to claim 1, characterized in that: Based on the three monitoring nodes, the change rate of each side length and the offset of the three internal angles are dynamically calculated. A geometric correction value representing the environmental vibration intensity is generated through weighted fusion. The satellite link carrier-to-noise ratio is dynamically compensated based on the geometric correction value, and the adjusted demand control threshold is output, including: According to the real-time coordinate data of the three monitoring nodes, the instantaneous change rate of the length of each side of the equilateral triangle and the offset of the three internal angles are calculated; The instantaneous rate of change of each side length is weighted and fused with the preset vibration sensitivity coefficient. At the same time, the real-time offset of the three inner angles is weighted and fused with the preset angle offset threshold to generate a geometric correction value that represents the intensity of the ambient vibration. Dynamically compensating the carrier-to-noise ratio of the satellite link based on the geometric correction value to obtain a compensated carrier-to-noise ratio; The demand control threshold is dynamically adjusted according to the compensated carrier-to-noise ratio, and the adjusted demand control threshold is output.

3. The multi-mode emergency communication system for power disaster rescue according to claim 2, characterized in that: The three monitoring nodes are respectively deployed at the tripod support points of the power equipment base and the top lightning rod base, forming an equilateral triangle with a side length of 1.5 times the equipment reference size, and obtaining the triangle vertex coordinate data in real time.

4. The multi-mode emergency communication system for power disaster rescue according to claim 3, characterized in that: The instantaneous rate of change of each side length is weighted and fused with the preset vibration sensitivity coefficient. At the same time, the real-time offset of the three inner angles is weighted and fused with the preset angle offset threshold to generate a geometric correction value that represents the intensity of the ambient vibration, including: Based on the historical vibration data of the power equipment, the vibration sensitivity coefficient is set, and the instantaneous change rate of each side length is integrated with the vibration sensitivity coefficient to generate the first correction component that characterizes the vibration of the equipment base; Dynamically adjust the tolerance range of the angle offset threshold based on the base vibration intensity represented by the first correction component, and calculate the difference between the real-time offset of the three inner angles and the adjusted angle offset threshold to generate a second correction component representing the deformation of the device structure; The first correction component and the second correction component are linearly combined according to a preset fusion ratio to generate a geometric correction value representing the intensity of the ambient vibration.

5. The multi-mode emergency communication system for power disaster rescue according to claim 4, characterized in that: The system receives the adjusted demand control threshold, monitors the ionospheric disturbance parameters in real time, and dynamically allocates communication frequency bands using a nonlinear frequency hopping strategy to generate optimized frequency band parameter sets for shortwave and ultra-shortwave dual-mode base stations. It also dynamically allocates communication resource priorities based on the device status parameters within the triangle closed area associated with the geometric correction value, including: Based on the adjusted demand control threshold, the critical frequency and signal attenuation rate in the ionospheric disturbance parameters are monitored in real time to generate ionospheric state assessment results; Based on the critical frequency fluctuation range in the ionospheric state assessment results, a nonlinear frequency hopping strategy is used to dynamically switch the communication band between the shortwave band and the ultra-shortwave band to generate an optimized frequency band parameter set for the dual-mode base station. Based on the real-time changes in device status parameters within the triangular closed area associated with the geometric correction value, the device inclination, temperature anomaly and voltage fluctuation level are judged, and the communication resource priority for voice, data and video transmission is dynamically allocated.

6. The multi-mode emergency communication system for power disaster rescue according to claim 5, characterized in that: Based on the critical frequency fluctuation range in the ionospheric state assessment results, a nonlinear frequency hopping strategy is used to dynamically switch the communication band between the shortwave band and the ultra-shortwave band, generating an optimized frequency band parameter set for the dual-mode base station, including: Based on the critical frequency fluctuation range in the ionospheric state assessment results, the switching trigger threshold intervals for the shortwave and ultra-shortwave bands are divided. When the critical frequency fluctuation range exceeds ±10%, the frequency band switching is triggered. When the frequency band switching is triggered, the channel stability of the shortwave band or ultra-shortwave band is judged according to the difference between the current signal attenuation rate and the preset communication quality index. If the difference in the communication quality index exceeds the preset threshold, the ultra-shortwave band is switched to as the main communication band, otherwise the shortwave band is maintained; Based on the real-time channel quality parameters of the main communication frequency band, the transmission power ratio of the shortwave and ultra-shortwave dual-mode base station is dynamically allocated. That is, when the main frequency band is shortwave, the shortwave and ultra-shortwave power are allocated in a ratio of 7:3; when the main frequency band is ultra-shortwave, the power is allocated in a ratio of 4:6; According to the power allocation ratio and the main communication frequency band parameters, an optimized frequency band parameter set including the frequency band center frequency, bandwidth and transmit power is generated.

7. The multi-mode emergency communication system for power disaster rescue according to claim 6, characterized in that: The system receives optimized frequency band parameter sets and geometric correction values, activates the power line carrier relay channel when backbone communications are interrupted, generates multi-dimensional rescue instructions by matching the geometric correction values ​​with a pre-set disaster scenario knowledge base, and distributes adaptive control instructions containing voice, data, and video transmission priorities to the command center, mobile emergency vehicles, and on-site terminals via a star topology network based on communication resource priorities. These instructions include: When a trunk communication interruption is detected, the power line carrier relay channel is activated based on the frequency band center frequency and transmission power parameters in the optimized frequency band parameter set to establish a redundant communication link with the command center; Through redundant communication links, the geometric correction value is matched with the earthquake vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire thermal radiation diffusion trajectory in the pre-set disaster scenario knowledge base to generate multi-dimensional rescue instructions including equipment repair priority, personnel evacuation path, and emergency power supply range. Based on the equipment repair priority in the multi-dimensional rescue instructions, adaptive control instructions are distributed in the star topology network in the order of voice transmission > data synchronization > video return.

8. The multi-mode emergency communication system for power disaster rescue according to claim 7, characterized in that: The adaptive control instructions include: Based on the frequency band-priority binding relationship of the optimized frequency band parameter set, voice transmission is bound to the ultra-short wave band, and video backhaul is bound to the short wave band; When it is detected that the channel quality of the ultra-short wave band is lower than the preset threshold, the voice transmission is dynamically switched to the idle sub-band of the short wave band according to the disaster scenario matching result associated with the geometric correction value.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the system according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, which, when executed by a processor, implements the system according to any one of claims 1 to 8.

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