Multi-mode emergency communication system for electric power disaster rescue

Abstract

The invention provides a multimode emergency communication system for electric power disaster rescue, which relates to the technical field of electric power disaster treatment and comprises a data acquisition module used for acquiring equipment state parameters, environment vibration data and geographic space information in real time through a sensor array deployed at an electric power equipment node, carrying out multi-source heterogeneous data synchronization on the disaster early warning data stream of the meteorological satellite to generate a fusion data set with time-space alignment; the sensor array comprises three monitoring nodes; and the geometric correction module is used for dynamically calculating the length change rate of each side and the offset of three interior angles based on the three monitoring nodes, generating a geometric correction value representing the environmental vibration intensity through weighted fusion, dynamically compensating the carrier-to-noise ratio of a satellite link based on the geometric correction value, and outputting an adjusted demand control threshold. Through cooperation of multiple modules, data fusion, communication optimization and accurate instruction distribution are realized, the communication problem of traditional electric power disaster rescue is effectively solved, and the rescue efficiency and the decision accuracy are improved.

Description

Technical Field

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

[0002] In the disaster rescue of the power system, the paralysis of traditional communication base stations and the severe disturbance of the electromagnetic environment make it difficult for conventional communication means (such as optical fibers and microwaves) to meet the emergency needs. Most existing emergency communication technologies adopt a single communication mode (such as independent shortwave or satellite networking).

[0003] Specifically, there are differences in formats and acquisition frequencies among power equipment state parameters (such as vibration and deformation), geospatial information, and meteorological early warning data, resulting in difficulties in spatio-temporal alignment of data and inability to accurately support rescue decisions. For example, in earthquake rescue, equipment vibration data and meteorological early warning data cannot be effectively fused, affecting the judgment of disaster trends.

[0004] In addition, ionospheric disturbances cause frequency band attenuation and signal distortion, and fixed-frequency band communication is extremely prone to interruption, and there is a lack of a mechanism for dynamically adjusting communication resources according to the device state. When the backbone communication is interrupted, existing technologies rely on preset relay nodes and cannot flexibly activate redundant links in combination with the real-time state of the device. For example, power line carrier communication requires the prior deployment of relay devices and is difficult to respond quickly in case of sudden disasters; the matching of disaster scenarios overly relies on manual experience, resulting in a lag in the 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, improving communication reliability and decision-making response efficiency in complex disaster environments.

[0006] To solve the above technical problems, the technical solution of the present invention is as follows:

[0007] In the first aspect, a multi-mode emergency communication system for power disaster rescue includes:

[0008] A data acquisition module, configured to collect device state parameters, environmental vibration data, and geospatial information in real time through a sensor array deployed at power equipment nodes, and perform multi-source heterogeneous data synchronization with the disaster warning data stream of a meteorological satellite to generate a spatio-temporally aligned fusion data set; the sensor array includes three monitoring nodes;

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

[0010] A dynamic spectrum allocation module, which is used to receive the adjusted demand control threshold, monitor the ionospheric disturbance parameters in real time, and adopt a non-linear frequency hopping strategy to dynamically allocate communication bands, generate an optimized frequency band parameter set for short-wave and ultra-short-wave dual-mode base stations, and at the same time, based on the device status parameters within the triangular closed area associated with the geometric correction value, dynamically allocate the priority of communication resources;

[0011] An instruction distribution module, which is used to receive the optimized frequency band parameter set and the 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 based on the communication resource priority, distribute adaptive control instructions including voice, data, and video transmission priorities to the command center, mobile emergency vehicles, and on-site terminals through a star topology network.

[0012] Furthermore, based on three monitoring nodes, the change rate of each side length and the offset of the three interior angles are dynamically calculated, and a geometric correction value representing the environmental vibration intensity is generated through weighted fusion, and based on the geometric correction value, the carrier-to-noise ratio of the satellite link is dynamically compensated, and the adjusted demand control threshold is output, including:

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

[0014] Fuse the instantaneous change rate of each side length with the preset vibration sensitivity coefficient through weighted fusion, and at the same time, fuse the real-time offset of the three interior angles with the preset angle offset threshold through weighted fusion to generate a geometric correction value representing the environmental vibration intensity;

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

[0016] According to the compensated carrier-to-noise ratio, dynamically adjust the demand control threshold and output the adjusted demand control threshold.

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

[0018] Furthermore, fuse the instantaneous change rate of each side length with the preset vibration sensitivity coefficient through weighted fusion, and at the same time, fuse the real-time offset of the three interior angles with the preset angle offset threshold through weighted fusion to generate a geometric correction value representing the environmental vibration intensity, including:

[0019] Based on the vibration history data of the power equipment, set the vibration sensitivity coefficient, and fuse the instantaneous change rate of each side length with the vibration sensitivity coefficient to generate a first correction component representing the vibration of the equipment base;

[0020] Dynamically adjust the tolerance range of the angle offset threshold according to the base vibration intensity characterized by the first correction component, calculate the difference between the real-time offset amounts of the three interior angles and the adjusted angle offset threshold, and generate a second correction component characterizing the structural deformation of the device;

[0021] Linearly combine the first correction component and the second correction component according to a preset fusion ratio to generate a geometric correction value characterizing the environmental vibration intensity.

[0022] Furthermore, receive the adjusted demand control threshold, monitor the ionospheric perturbation parameters in real time, and adopt a non-linear frequency hopping strategy to dynamically allocate communication frequency bands, generating an optimized frequency band parameter set for the short-wave and ultra-short-wave dual-mode base station. At the same time, based on the device status parameters within the triangular closed region associated with the geometric correction value, dynamically allocate the communication resource priorities, including:

[0023] Based on the adjusted demand control threshold, monitor the critical frequency and signal attenuation rate in the ionospheric perturbation parameters in real time, and generate an ionospheric state assessment result;

[0024] According to the critical frequency fluctuation range in the ionospheric state assessment result, adopt a non-linear frequency hopping strategy to dynamically switch the communication frequency band between the short-wave band and the ultra-short-wave band, generating an optimized frequency band parameter set for the dual-mode base station;

[0025] Based on the real-time change amount of the device status parameters within the triangular closed region associated with the geometric correction value, judge the device tilt, temperature anomaly, and voltage fluctuation levels, and dynamically allocate the communication resource priorities for voice, data, and video transmission.

[0026] Furthermore, according to the critical frequency fluctuation range in the ionospheric state assessment result, adopt a non-linear frequency hopping strategy to dynamically switch the communication frequency band between the short-wave band and the ultra-short-wave 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 result, divide the switching trigger threshold intervals for the short-wave band and the ultra-short-wave band. Among them, when the critical frequency fluctuation range exceeds ±10%, trigger the frequency band switching;

[0028] When the frequency band switching is triggered, judge the channel stability of the short-wave band or the ultra-short-wave band according to the difference between the current signal attenuation rate and the preset communication quality index. If the difference of the communication quality index exceeds the preset threshold, switch to the ultra-short-wave band as the main communication frequency band, otherwise maintain the short-wave band;

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

[0030] Generate an optimized frequency band parameter set including the center frequency, bandwidth, and transmission power of the frequency band according to the power allocation ratio and the main communication frequency band parameters.

[0031] Furthermore, receive the optimized frequency band parameter set and the 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 including voice, data, and video transmission priorities to the command center, mobile emergency vehicle, and on-site terminal through the star topology network, including:

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

[0033] Through the redundant communication link, perform feature matching on the geometric correction value with the seismic vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire heat radiation diffusion trajectory in the preset disaster scenario knowledge base, and generate multi-dimensional rescue instructions including equipment repair priority, personnel evacuation path, and emergency power supply scope.

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

[0035] Furthermore, the adaptive control instructions include:

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

[0037] When it is detected that the channel quality of the ultra-short-wave frequency band is lower than the preset threshold, dynamically switch the voice transmission to the idle sub-band of the short-wave frequency 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] A storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the described method.

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

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

[0043] By deploying a sensor array to synchronize with meteorological satellite data, multi-source heterogeneous data is integrated into a spatio-temporally aligned fusion data set, solving the alignment problem caused by differences in data formats and acquisition frequencies, providing high-precision and real-time data support for rescue decision-making, and making the judgment of disaster trends more accurate. Based on the geometric parameters calculated by three monitoring nodes, a correction value is generated to dynamically compensate the carrier-to-noise ratio of the satellite link, effectively coping with the signal attenuation and distortion problems caused by ionospheric disturbances.

[0044] According to the demand control threshold and ionospheric parameters, the communication frequency band is dynamically switched, and the resource priority is allocated in combination with the device status, avoiding the interruption of fixed-frequency communication, realizing the linkage optimization of device status and communication resources, and ensuring the priority transmission of key information. When the backbone communication is interrupted, the power line carrier relay channel is activated according to the real-time status of the device, multi-dimensional rescue instructions are quickly generated by matching the disaster scenario knowledge base, and adaptive control instructions are distributed according to the priority, changing the current situation of relying on preset relay nodes and manual experience, realizing the rapid and accurate issuance of rescue instructions, and improving the rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 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 OF THE EMBODIMENTS

[0046] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the 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. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

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

[0048] A data acquisition module for real-time collecting device status parameters, environmental vibration data, and geospatial information through a sensor array deployed at power equipment nodes, and synchronizing multi-source heterogeneous data with the disaster warning data stream of a meteorological satellite to generate a spatio-temporally aligned fusion data set; the sensor array includes three monitoring nodes;

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

[0050] A dynamic spectrum allocation module, which is used to receive the adjusted demand control threshold, monitor the ionospheric perturbation parameters in real time, and dynamically allocate communication frequency bands by using a non-linear frequency hopping strategy to generate an optimized frequency band parameter set for the short-wave and ultra-short-wave dual-mode base stations. At the same time, based on the device status parameters within the triangular closed area associated with the geometric correction value, dynamically allocate the priority of communication resources;

[0051] An instruction distribution module, which is used to receive the optimized frequency band parameter set and the 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 a pre-set disaster scenario knowledge base, and based on the communication resource priority, distribute adaptive control instructions including voice, data, and video transmission priorities to the command center, mobile emergency vehicles, and on-site terminals through a star topology network.

[0052] In the embodiment of the present invention, the data acquisition module realizes the multi-source fusion of power equipment status, environmental vibration, geospatial information, and meteorological disaster warning data, constructs a data set with spatio-temporal alignment, can comprehensively and accurately present the power equipment and environmental conditions before and after the disaster, helps to predict disaster risks in advance, and master the trend of equipment damage.

[0053] By constructing a geometric relationship through three monitoring nodes and converting environmental vibration into a quantifiable geometric correction value, not only can the environmental vibration intensity be accurately evaluated, but also the carrier-to-noise ratio of the satellite link can be dynamically compensated based on this, ensuring signal stability of satellite communication in a complex vibration environment, and then outputting a more reasonable demand control threshold to improve the anti-interference ability of the communication system. According to the demand control threshold and the ionospheric perturbation situation, a non-linear frequency hopping strategy is used to dynamically allocate communication frequency bands, enabling the short-wave and ultra-short-wave dual-mode base stations to flexibly adapt to ionospheric changes and obtain an optimized frequency band parameter set. At the same time, the priority of communication resources is dynamically allocated in combination with device status parameters to preferentially ensure the transmission of key rescue information (such as voice instructions), improving the utilization efficiency of communication resources and the timeliness of rescue information transmission.

[0054] When the backbone communication is interrupted, quickly activate the power line carrier relay channel to establish a redundant communication link to ensure uninterrupted communication. By matching the geometric correction value with the disaster scenario knowledge base, generate multi-dimensional rescue instructions covering equipment repair, personnel evacuation, emergency power supply, etc., and accurately distribute adaptive control instructions through a star topology network according to the communication resource priority, ensuring efficient coordination between the command center and on-site rescue forces and improving the overall effectiveness of rescue operations.

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

[0056] According to the real-time coordinate data of the three monitoring nodes, calculate the instantaneous change rate of each side length of the equilateral triangle and the offset of the three interior angles; the three monitoring nodes are respectively deployed at the three-foot support points of the power equipment base and the base of the top lightning rod, forming an equilateral triangle with a side length 1.5 times the reference size of the equipment, and the vertex coordinate data of the triangle are obtained in real time;

[0057] Weightedly fuse the instantaneous change rate of each side length with a preset vibration sensitivity coefficient, and at the same time weightedly fuse the real-time offset of the three interior angles with a preset angle offset threshold to generate a geometric correction value representing the environmental vibration intensity, which specifically includes:

[0058] Based on the vibration history data of the power equipment, set the vibration sensitivity coefficient, and fuse the instantaneous change rate of each side length with the vibration sensitivity coefficient to generate a first correction component representing the vibration of the equipment base;

[0059] According to the vibration intensity of the base represented by the first correction component, dynamically adjust the tolerance range of the angle offset threshold, and calculate the difference between the real-time offset of the three interior angles and the adjusted angle offset threshold to generate a second correction component representing the structural deformation of the equipment;

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

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

[0062] According to the compensated carrier-to-noise ratio, dynamically adjust the demand control threshold and output the adjusted demand control threshold.

[0063] In the 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 one is installed on the base of the top lightning rod. For example, for a transformer, assuming the base size is 2 meters, the side length of the equilateral triangle is set to 3 meters (1.5 times the reference size of the equipment). The system continuously obtains the real-time coordinate data of each monitoring node through the built-in positioning device, and the coordinate data is accurate to the centimeter level. Under the influence of environmental vibrations such as earthquakes or strong winds, the equipment shakes, and the positions of the monitoring nodes change accordingly. The system updates these coordinate data in real time at a millisecond frequency to ensure obtaining the most immediate node position information.

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

[0066] After obtaining the real-time coordinate data of the three monitoring nodes, based on the coordinate data, using spatial geometry knowledge, by calculating the straight-line distances between the nodes, the lengths of the three sides of the equilateral triangle at a certain moment are obtained. For example, at time t1, the lengths of the three sides are calculated as AB, BC, and CA. After a very short time, at time t2, the lengths of the three sides are calculated again. Comparing the lengths of each side at times t1 and t2, if the length of side AB is 3 meters at t1 and becomes 3.01 meters at t2, then the instantaneous change rate of side AB reflects the change rate of the side length during this very short time. At the same time, according to the trigonometric function relationship, the angles of the three interior angles of the triangle at a certain moment are calculated from the coordinates of the three monitoring nodes. Comparing the calculated real-time angles with the interior angle angles when the equipment was installed and not affected by vibration (initial state), if the interior angle was 60° in the initial state and the real-time calculated angle becomes 60.5°, then the interior angle offset is 0.5°, which is used to reflect the change of the interior angle.

[0067] Generate geometric correction values:

[0068] Set the vibration sensitivity coefficient and determine the first correction component. The vibration sensitivity coefficient is set in advance according to the type and usage environment of the power equipment. For example, for the main transformer of a large substation installed in a high-seismicity area, since earthquakes may cause strong vibrations, its vibration sensitivity coefficient is set in a relatively high range of 0.8 - 1.0; while for a small distribution transformer located in the suburban area of the city with a relatively stable environment, the vibration sensitivity coefficient is set in the range of 0.3 - 0.5. When the instantaneous change rate of each side length is weighted and fused with the vibration sensitivity coefficient, a higher weight is given to the vibration sensitivity coefficient (such as 70% - 80%), and the weight of the side length change rate is 20% - 30%. Suppose that at the initial stage of an earthquake for a main transformer in a substation, the length of a certain side of the triangle formed by its monitoring nodes changes from 3 meters to 3.05 meters, and the instantaneous change rate is ≈0.0167, if the vibration sensitivity coefficient is set to 0.9, the first correction component is calculated as: 0.0167×0.3 + 0.9×0.7 = 0.63501, and this value intuitively reflects the vibration change of the equipment base caused by the earthquake.

[0069] Dynamically adjusting the tolerance range and calculating the second correction component When the first correction component indicates that the vibration intensity of the equipment base is relatively large (such as exceeding 0.5), the tolerance range of the angle offset threshold is dynamically adjusted according to the preset rules. For example, the original tolerance range of the angle offset threshold is ±0.5°, and when the first correction component reaches 0.6, the tolerance range is reduced to ±0.2°. Calculate the difference between the real-time offset of the three interior angles and the adjusted angle offset threshold. Suppose the real-time offset of a certain interior angle is 0.3° and the adjusted threshold is 0.2°, then the difference is 0.3 - 0.2 = 0.1, and this value reflects the deformation degree of the equipment structure caused by vibration, generating the second correction component.

[0070] Generating the geometric correction value by linear combination According to the fusion ratio preset according to the equipment characteristics and application scenarios, linearly combine the first correction component and the second correction component. For high-voltage transmission equipment that is more sensitive to vibration, the weight of the first correction component is set to 60% and the weight of the second correction component is set to 40%; for relatively stable power tower base equipment, the weight ratio may be adjusted to 50% and 50%.

[0071] Taking the main transformer of the above-mentioned 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, and this value comprehensively reflects the influence intensity 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 the geometric correction value will monitor the size and change trend of the geometric correction value in real time. Taking the transmission line equipment installed in the mountainous area as an example, when encountering vibrations caused by landslides, if the geometric correction value gradually rises from the initial 0.2 to 0.6 and continues to show an increasing trend within 10 minutes, it indicates that the environmental vibration intensity is increasing, and this kind of vibration will interfere with the transmission of satellite signals, resulting in a decrease in the signal quality of the satellite link.

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

[0075] When the carrier-to-noise ratio is below 18 dB, to ensure communication stability, the demand control threshold is set to the minimum value of 50 Mbps, strictly restricting the data transmission rate and giving priority to ensuring the transmission of key instructions such as voice;

[0076] When the carrier-to-noise ratio is between 18 - 22 dB, the threshold is increased to 100 Mbps. On the premise of ensuring basic stability, a small amount of data synchronous transmission is allowed;

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

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

[0079] In the above case, the compensated carrier-to-noise ratio is 25 dB, and the demand control threshold is increased from 180 Mbps to 300 Mbps. At this time, services such as high-definition video backhaul and a large amount of device status data transmission at the rescue site can be carried out more smoothly. On the contrary, if the compensated carrier-to-noise ratio is only increased to 22 dB and the demand control threshold of 180 Mbps is maintained, data packet loss caused by too high a transmission rate is avoided to ensure the stability of the communication link. Through such dynamic and refined adjustment, the final output demand control threshold that meets the current satellite link quality is obtained.

[0080] Through in-depth processing of the data of monitoring nodes, this calculation process converts environmental vibrations into quantifiable geometric correction values, achieving precise monitoring and assessment of the intensity of environmental vibrations and enabling timely detection of subtle vibration changes of power equipment in a disaster environment. Through dynamic compensation of the carrier-to-noise ratio of satellite links, the stability and reliability of satellite communication in a complex vibration environment are effectively improved, the quality of communication signals is guaranteed, and the risks of signal interruption and data loss are reduced. The adjusted demand control threshold is more in line with the actual environmental conditions, providing more accurate input parameters for subsequent modules such as dynamic spectrum allocation and command distribution, helping to optimize the resource allocation and operation control of the entire emergency communication system, improving the efficiency and accuracy of power disaster rescue communication, and enabling the rescue work to be carried out more timely and effectively.

[0081] In a preferred embodiment of the present invention, the adjusted demand control threshold is received, the ionospheric disturbance parameters are monitored in real time, and a non-linear frequency hopping strategy is adopted to dynamically allocate communication frequency bands, generating an optimized frequency band parameter set for short-wave and ultra-short-wave dual-mode base stations. At the same time, based on the device status parameters within the triangular closed area associated with the geometric correction value, the 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 an ionospheric state assessment result;

[0083] According to the critical frequency fluctuation range in the ionospheric state assessment result, a non-linear frequency hopping strategy is adopted to dynamically switch the communication frequency band between the short-wave band and the ultra-short-wave band, generating an optimized frequency band parameter set for the dual-mode base station, specifically including:

[0084] Based on the critical frequency fluctuation range in the ionospheric state assessment result, the switching trigger threshold intervals of the short-wave band and the ultra-short-wave band are divided, where the frequency band switching is triggered when the critical frequency fluctuation range exceeds ±10%;

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

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

[0087] According to the power allocation ratio and the main communication frequency band parameters, an optimized frequency band parameter set including the center frequency, bandwidth and transmission power of the frequency band is generated;

[0088] Based on the real-time changes in equipment status parameters within the triangular closed area associated with the geometric correction value, the equipment 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 an embodiment of the present invention, the adjusted demand control threshold is received, and based on this, the critical frequency and signal attenuation rate in the ionospheric disturbance parameters are monitored in real time. For example, the current critical frequency of the ionosphere is 10MHz, and the signal attenuation rate is 0.5dB per kilometer, obtained through ground monitoring stations and satellite data. These parameters are compared and analyzed with historical data and standard parameters under normal conditions, and the ionospheric state evaluation results are generated in combination with the requirements of the demand control threshold for communication quality. If the critical frequency fluctuates violently in a short period of time, or the signal attenuation rate exceeds the normal range, the evaluation result will determine that the ionospheric state is not good, which may affect the communication quality.

[0090] Based on the critical frequency fluctuation range in the ionospheric state assessment results, the switching trigger threshold intervals for the shortwave band and the ultra-shortwave band are divided. Specifically, when the fluctuation range of the monitored critical frequency exceeds ±10% compared with the critical frequency in the normal state, the frequency band switching mechanism is triggered. For example, if the normal critical frequency is 10MHz, if the current critical frequency is lower than 9MHz or higher than 11MHz, the trigger condition for frequency band switching is met. 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 will be set according to different communication service requirements. For example, voice communication requires the signal attenuation rate to be no more than 0.8dB per kilometer, and data transmission requires no more than 0.6dB. If the current signal attenuation rate is 1.0dB per kilometer, which exceeds the preset threshold value for data transmission, it is judged that the current frequency band (assuming it is a shortwave band) channel is unstable. At this time, the communication band is switched to the ultra-short wave band as the main communication band; if the signal attenuation rate does not exceed the preset threshold, the current shortwave band is maintained unchanged.

[0091] After determining the primary communication frequency band, based on the real-time channel quality parameters of the primary frequency band, dynamically allocate the transmission power ratio of the short-wave and ultra-short-wave dual-mode base station. When the primary frequency band is short-wave, allocate the short-wave and ultra-short-wave powers in a ratio of 7:3. For example, if the total transmission power of the dual-mode base station is set to 100W, then 70W of power is allocated to the short-wave frequency band and 30W of power is allocated to the ultra-short-wave frequency band; when the primary frequency band is ultra-short-wave, allocate the power in a ratio of 4:6, that is, 60W of power is allocated to the ultra-short-wave frequency band and 30W of power is allocated to the short-wave frequency band. According to the determined power allocation ratio and the primary communication frequency band parameters, generate an optimized frequency band parameter set including the center frequency, bandwidth, and transmission power of the frequency band. For example, if the primary communication frequency band is the ultra-short-wave frequency band and the center frequency is set to 450MHz, combined with the dynamically allocated 60W transmission power and the preset bandwidth (such as 20MHz), the finally generated optimized frequency band parameter set is: center frequency 450MHz, bandwidth 20MHz, transmission power 60W.

[0092] Based on the real-time change amount of the device status parameters within the triangular closed area associated with the geometric correction value, judge the device inclination, temperature anomaly, and voltage fluctuation level. For example, if the device inclination is monitored by sensor data to exceed 5°, it is determined to be highly dangerous; if the device temperature is 20°C higher than the normal operating temperature, it is determined to have a relatively high temperature anomaly level; if the voltage fluctuation exceeds ±15% of the rated voltage, it is determined to have a high voltage fluctuation level. According to the risk levels of these device statuses, dynamically allocate the communication resource priorities for voice, data, and video transmissions. For a highly dangerous device status, give priority to ensuring voice transmission to ensure that on-site personnel can receive command instructions in a timely manner; secondly, ensure data synchronization for analyzing the causes of device failures; finally, allocate resources for video backhaul to assist in remote decision-making.

[0093] This dynamic spectrum allocation process realizes the intelligent switching and optimization of communication frequency bands through multi-dimensional parameter monitoring and analysis, can effectively cope with the impact of ionospheric disturbances on communication, and ensures the stability and reliability of the communication link. Dynamically allocating the transmission power ratio according to the channel quality improves the power usage efficiency and avoids resource waste. Dynamically allocating the communication resource priorities in combination with the device status parameters ensures that in the process of power disaster rescue, key information and instructions can be transmitted first and in a timely manner, improving the response efficiency of the emergency communication system and the accuracy of rescue command, and providing a strong communication guarantee for the power disaster rescue work.

[0094] In a preferred embodiment of the present invention, receive the optimized frequency band parameter set and the 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 based on the communication resource priorities, distribute adaptive control instructions including the priorities of voice, data, and video transmissions to the command center, mobile emergency vehicles, and on-site terminals through a star-shaped topology network, which may include:

[0095] When a backbone communication interruption is detected, based on the center frequency of the frequency band and the transmit power parameter in the optimized frequency band parameter set, activate the power line carrier relay channel and establish a redundant communication link with the command center;

[0096] Through the redundant communication link, perform feature matching on the geometric correction value with the seismic vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire heat radiation diffusion trajectory in the pre-set disaster scenario knowledge base, and generate multi-dimensional rescue instructions including equipment repair priority, personnel evacuation route, and emergency power supply scope;

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

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

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

[0100] In the embodiment of the present invention, through the monitoring equipment deployed at the backbone communication link node, parameters such as signal strength and packet loss rate are collected in real time at a frequency of 10 times per second. For example, in a certain typhoon disaster, the system monitors that the signal strength of the backbone communication link rapidly drops from -70 dBm. When it drops to -100 dBm (the preset interruption threshold is -90 dBm), and at the same time the packet loss rate exceeds 30% within 5 consecutive seconds (such as the packet loss rate in the first second is 32%, the second second is 35%, the third second is 33%, the fourth second is 34%, and the fifth second is 31%), it is immediately determined that the backbone communication is interrupted.

[0101] At this time, obtain the latest optimized frequency band parameter set from the dynamic spectrum allocation module. Assume that the center frequency is 450 MHz and the transmit power is 60 W. According to the requirements of the power line carrier communication protocol (such as the HomePlugAV protocol), convert the 450 MHz frequency into a carrier frequency range suitable for power line transmission (such as selecting an available channel near 450 MHz in the power line carrier frequency band), and at the same time adjust the power amplifier of the power line carrier device to stably output the transmit power as 60 W. Through the coupling devices pre-installed at the power line branch nodes, inject the communication signal into the power line network. These coupling devices will automatically match the impedance characteristics of the power line to avoid signal reflection loss. Finally, within 100 milliseconds after the backbone communication is interrupted, establish a redundant communication link from the on-site mobile emergency vehicle terminal to the command center to ensure that voice and data transmission are not interrupted.

[0102] Using the newly established redundant communication link, deeply match the current geometric correction value (assumed to be 0.8, indicating strong environmental vibration) with the pre-set disaster scenario knowledge base. Each disaster type in the knowledge base contains multi-level feature data. Taking earthquakes as an example, it is subdivided into shallow-focus earthquakes (focal depth < 60 km) and deep-focus earthquakes (focal depth ≥ 60 km). Each type is further divided into different vibration waveform spectrum characteristics according to the magnitude (such as magnitude 4.0 - 4.9, magnitude 5.0 - 5.9, etc.). Through the waveform similarity algorithm, compare the vibration data corresponding to the geometric correction value with the earthquake waveforms in the knowledge base. For example, when it is found that the waveform of the current vibration data in the frequency range of 0.5 - 20 Hz has a similarity of more than 85% with the waveform of a magnitude 5.0 - 5.9 shallow-focus earthquake in the knowledge base, it is determined that an earthquake disaster has occurred. Then, further analyze in combination with the equipment status parameters: If the inclination of the main transformer of a certain substation exceeds 10° (detected by the inclination sensors installed at the three-foot support points of the equipment), and the voltage fluctuation exceeds ±20% of the rated voltage (monitored in real time by the voltage transformer), set this transformer as the highest-priority repair equipment.

[0103] At the same time, retrieve the Geographic Information System (GIS) data. According to the earthquake epicenter location and the historical earthquake impact range model, plan the evacuation routes for personnel within a radius of 3 kilometers, avoiding areas where there may be a risk of landslides. Combining the location information of the emergency power vehicle and the power network topology structure, determine the emergency power supply range centered on the emergency power vehicle and covering 10 surrounding distribution substations, and finally generate multi-dimensional rescue instructions containing 3 types of information. Based on the equipment repair priority in the multi-dimensional rescue instructions, the system executes instruction distribution in the star topology network. First, according to the frequency band - priority binding rule, force the voice transmission task to be bound to the ultra-short wave band (450 - 470 MHz). For example, the handheld terminal used by on-site rescue personnel will automatically tune to the 455 MHz channel, and utilize the stability of the ultra-short wave "line-of-sight propagation" to ensure that the voice instructions issued by the command center (such as "Immediately cut off the power supply of XX line") are clearly conveyed. The video backhaul task is assigned to the short wave band (3 - 30 MHz), and the images collected by the high-definition camera carried by the on-site drone are backhauled to the command center large screen through the 3.5 MHz band.

[0104] When the signal intensity in the ultra-short wave frequency band is detected to drop to -85 dBm (the preset threshold is -80 dBm) and the bit error rate exceeds 5% for 10 consecutive seconds, the frequency band switching mechanism is triggered. The system preferentially searches for idle sub-frequency bands in the short wave frequency band according to the previously determined type of earthquake disaster. For example, within the 5 - 6 MHz frequency band, after the system detects that the signal occupancy rate (if the current occupancy rate < 20%) and confirms that the frequency band is idle, it quickly switches the voice communication of the on-site handheld terminal to the 5.2 MHz sub-frequency band. During the switching process, the system automatically adjusts the voice coding format (such as switching from AM modulation to FM modulation with stronger anti-interference ability) to ensure that there is no obvious interruption in voice communication and complete the dynamic distribution of adaptive control instructions.

[0105] By activating the power line carrier relay channel to establish a redundant communication link, the problem of communication paralysis caused by the interruption of the backbone communication is effectively solved, ensuring the real-time transmission of information during the rescue process. Generating multi-dimensional rescue instructions based on the disaster scene matching can quickly and accurately formulate rescue strategies, improving the pertinence and efficiency of rescue work. Distributing adaptive control instructions according to priority and realizing the dynamic switching of communication frequency bands ensure the priority transmission and communication quality of key rescue information (such as voice instructions), avoiding information loss or delay caused by channel interference, providing a reliable communication guarantee for the scientific decision-making of the command center and the efficient execution of tasks by on-site rescue personnel, and enhancing the overall effectiveness of power disaster rescue.

[0106] An embodiment of the present invention also provides a computing device, including: a processor and a memory storing a computer program. When the computer program is run by the processor, it executes the system as described above. All implementation manners in the above system embodiment are applicable to this embodiment and can also achieve the same technical effects.

[0107] An embodiment of the present invention also provides a computer-readable storage medium storing instructions. When the instructions are run on a computer, the computer is made to execute the system as described above. All implementation manners in the above system embodiment are applicable to this embodiment and can also achieve the same technical effects.

[0108] The above is the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A multi-mode emergency communication system for power disaster rescue, characterized in that, Including: A data acquisition module, which is used to collect device status parameters, environmental vibration data, and geospatial information in real time through a sensor array deployed on power equipment nodes, synchronize multi-source heterogeneous data with the disaster warning data stream of meteorological satellites, and generate a spatio-temporally aligned fusion data set; the sensor array includes three monitoring nodes; A geometric correction module, which is used to dynamically calculate the change rate of each side length and the offset of the three interior angles based on the three monitoring nodes, generate a geometric correction value representing the environmental vibration intensity through weighted fusion, and dynamically compensate the carrier-to-noise ratio of the satellite link based on the geometric correction value, and output an adjusted demand control threshold; A dynamic spectrum allocation module, which is used to receive the adjusted demand control threshold, monitor the ionospheric disturbance parameters in real time, and dynamically allocate communication frequency bands using a non-linear frequency hopping strategy to generate an optimized frequency band parameter set for short-wave and ultra-short-wave dual-mode base stations. At the same time, based on the device status parameters within the triangular closed area associated with the geometric correction value, dynamically allocate communication resource priorities; An instruction distribution module, which is used to receive the optimized frequency band parameter set and the 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 a pre-set disaster scenario knowledge base, and based on the communication resource priorities, distribute adaptive control instructions including voice, data, and video transmission priorities to the command center, mobile emergency vehicles, and on-site terminals through a star topology network.

2. The multi-mode emergency communication system for power disaster rescue according to claim 1, wherein Dynamically calculating the change rate of each side length and the offset of the three interior angles based on the three monitoring nodes, generating a geometric correction value representing the environmental vibration intensity through weighted fusion, and dynamically compensating the carrier-to-noise ratio of the satellite link based on the geometric correction value, and outputting an adjusted demand control threshold, including: Calculating the instantaneous change rate of each side length of the equilateral triangle and the offset of the three interior angles according to the real-time coordinate data of the three monitoring nodes; Weightedly fusing the instantaneous change rate of each side length with a preset vibration sensitivity coefficient, and at the same time weightedly fusing the real-time offset of the three interior angles with a preset angle offset threshold to generate a geometric correction value representing the environmental vibration intensity; Dynamically compensating the carrier-to-noise ratio of the satellite link based on the geometric correction value to obtain the compensated carrier-to-noise ratio; Dynamically adjusting the demand control threshold according to the compensated carrier-to-noise ratio and outputting the adjusted demand control threshold.

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

4. The multi-mode emergency communication system for power disaster rescue according to claim 3, wherein, Weightedly fusing the instantaneous change rate of each side length with a preset vibration sensitivity coefficient, and at the same time weightedly fusing the real-time offset of the three interior angles with a preset angle offset threshold to generate a geometric correction value representing the environmental vibration intensity, including: Setting a vibration sensitivity coefficient based on the vibration history data of the power equipment, and fusing the instantaneous change rate of each side length with the vibration sensitivity coefficient to generate a first correction component representing the vibration of the equipment base; Dynamically adjust the tolerance range of the angle offset threshold according to the base vibration intensity characterized by the first correction component, and calculate the difference between the real-time offset amounts of the three interior angles and the adjusted angle offset threshold to generate a second correction component characterizing the structural deformation of the device; Linearly combine the first correction component and the second correction component according to a preset fusion ratio to generate a geometric correction value characterizing the environmental vibration intensity.

5. The multi-mode emergency communication system for power disaster rescue according to claim 4, wherein Receive the adjusted demand control threshold, monitor the ionospheric disturbance parameters in real time, and adopt a non-linear frequency hopping strategy to dynamically allocate communication frequency bands to generate an optimized frequency band parameter set for the short-wave and ultra-short-wave dual-mode base station. At the same time, based on the device state parameters within the triangular closed area associated with the geometric correction value, dynamically allocate the communication resource priorities, including: Based on the adjusted demand control threshold, monitor the critical frequency and signal attenuation rate in the ionospheric disturbance parameters in real time to generate an ionospheric state evaluation result; According to the critical frequency fluctuation range in the ionospheric state evaluation result, adopt a non-linear frequency hopping strategy to dynamically switch the communication frequency band between the short-wave frequency band and the ultra-short-wave frequency band to generate an optimized frequency band parameter set for the dual-mode base station; Based on the real-time change amount of the device state parameters within the triangular closed area associated with the geometric correction value, judge the device tilt, temperature anomaly and voltage fluctuation levels, and dynamically allocate the communication resource priorities for voice, data and video transmission.

6. The multi-mode emergency communication system for power disaster rescue according to claim 5, wherein, According to the critical frequency fluctuation range in the ionospheric state evaluation result, adopt a non-linear frequency hopping strategy to dynamically switch the communication frequency band between the short-wave frequency band and the ultra-short-wave frequency band to generate an optimized frequency band parameter set for the dual-mode base station, including: Based on the critical frequency fluctuation range in the ionospheric state evaluation result, divide the switching trigger threshold interval for the short-wave frequency band and the ultra-short-wave frequency band. Among them, when the critical frequency fluctuation range exceeds ±10%, the frequency band switching is triggered; When the frequency band switching is triggered, judge the channel stability of the short-wave frequency band or the ultra-short-wave frequency band according to the difference between the current signal attenuation rate and the preset communication quality index. If the difference of the communication quality index exceeds the preset threshold, switch to the ultra-short-wave frequency band as the main communication frequency band, otherwise maintain the short-wave frequency band; Based on the real-time channel quality parameters of the main communication frequency band, dynamically allocate the transmission power ratio of the short-wave and ultra-short-wave dual-mode base station, that is, when the main frequency band is short-wave, allocate the short-wave and ultra-short-wave power according to the ratio of 7:3; when the main frequency band is ultra-short-wave, allocate the power according to the ratio of 4:6; According to the power allocation ratio and the main communication frequency band parameters, generate an optimized frequency band parameter set including the center frequency, bandwidth and transmission power of the frequency band.

7. The multi-mode emergency communication system for power disaster rescue according to claim 6, characterized in that, Receive the optimized frequency band parameter set and the 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 pre-set disaster scenario knowledge base, and based on the communication resource priorities, distribute adaptive control instructions including voice, data and video transmission priorities to the command center, mobile emergency vehicle and on-site terminal through the star topology network, including: When the backbone communication interruption is detected, activate the power line carrier relay channel based on the center frequency and transmission power parameters in the optimized frequency band parameter set, and establish a redundant communication link with the command center; Through redundant communication links, feature matching is performed between the geometric correction values and the seismic vibration waveform spectrum, typhoon wind pressure gradient distribution, and wildfire heat radiation diffusion trajectory in the pre-set disaster scenario knowledge base to generate multi-dimensional rescue instructions including equipment repair priorities, personnel evacuation routes, and emergency power supply scopes. Based on the equipment repair priorities in the multi-dimensional rescue instructions, adaptive control instructions are distributed in the star topology network in the priority order of voice transmission > data synchronization > video backhaul.

8. The multi-mode emergency communication system for power disaster rescue according to claim 7, wherein 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 frequency band, and video backhaul is bound to the short wave frequency band. When it is detected that the channel quality of the ultra-short wave frequency band is lower than the preset threshold, voice transmission is dynamically switched to the idle sub-band of the short wave frequency band according to the disaster scenario matching result associated with the geometric correction value.

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

10. A computer-readable storage medium, characterized in that, A program is stored in the computer-readable storage medium, and when the program is executed by a processor, the system according to any one of claims 1 to 8 is implemented.

Images