CN117595920B - Insurance processing method and system based on satellite communication - Google Patents
Insurance processing method and system based on satellite communication Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18578—Satellite systems for providing broadband data service to individual earth stations
- H04B7/18586—Arrangements for data transporting, e.g. for an end to end data transport or check
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18578—Satellite systems for providing broadband data service to individual earth stations
- H04B7/18593—Arrangements for preventing unauthorised access or for providing user protection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18578—Satellite systems for providing broadband data service to individual earth stations
- H04B7/18595—Arrangements for adapting broadband applications to satellite systems
Abstract
The invention discloses an insurance processing method and system based on satellite communication, comprising the following steps: s1, when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image; s2: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission; s3: the system sends an insurance claim settlement request to the data processing center through the satellite communication module; s4: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module. According to the method, different video images adopt different compression rates and realize communication of insurance data by combining satellite communication, so that the insurance processing speed under extreme conditions is greatly improved, and the user experience is greatly improved.
Description
Technical Field
The invention relates to the technical field of insurance processing, in particular to an insurance processing method and system based on satellite communication.
Background
In the traditional insurance industry, claim settlement processes often rely on ground based communication networks to transmit claim settlement data (e.g., text, pictures, and video). However, this dependence can cause problems in some situations, especially in remote areas or in emergency situations such as natural disasters, when the terrestrial communication network is unreliable or completely unavailable. In addition, conventional claims processing flows tend to be inefficient and subject to data transmission speed and quality limitations, resulting in delays in claims processing. With the improvement of the requirements of customers on insurance service efficiency and response speed, the traditional claim settlement processing mode cannot completely meet the market demands. Especially in the face of large-scale disasters, fast and accurate claim processing becomes important. Therefore, there is a pressing need in the insurance industry for new solutions to improve the efficiency of claim processing and customer satisfaction.
Satellite communication provides a communication mode with wide coverage and high reliability, and is particularly suitable for areas with insufficient coverage of ground communication networks. By using satellite communication, data transmission worldwide can be achieved, which is a great advantage for the insurance industry. Satellite communications have been widely used in a variety of fields including military, aerospace, broadcast, emergency rescue, etc., and their high reliability and broad coverage make them ideal choices for addressing the challenges of the insurance industry. With the development of satellite communication technology, particularly the emergence of Low Earth Orbit (LEO) satellite networks, the speed and reliability of satellite communication are greatly improved, and the cost is gradually reduced. In addition, advances in image processing and machine learning techniques have made extracting useful information from complex data more efficient and accurate. The combination of these techniques provides a technical basis for innovative insurance claim processing methods.
The existing insurance processing system is mostly dependent on ground network communication, and can not realize seamless coverage in the global scope. After a disaster, disruption of ground communications greatly affects the quick response capability of the insurer. The existing insurance processing system can not dynamically modulate the compression rate according to the image quality and the bandwidth condition when compressing the insurance data, so that the transmission data efficiency and the quality are poor, the existing image quality calculation is not combined with the gradient weight coefficient and the combination adjustment of the dynamic change weight coefficient, and aiming at the limitation of the prior art, a new solution is urgently needed in the insurance industry so as to improve the efficiency of claim settlement processing and customer satisfaction.
Disclosure of Invention
In order to solve the above-mentioned problems mentioned in the prior art, the present invention provides a method and a system for processing insurance based on satellite communication, wherein the method reduces the bandwidth required by transmission by encrypting and compressing damaged video images of claim data vehicles submitted by clients; calculating the compression rate C of each frame image according to the quality value I and the available bandwidth B of the image frames, sending an insurance claim settlement request to a data processing center by a satellite communication module, analyzing the request by the data processing center, making claim settlement decision, and sending the result to a client by the satellite communication module; according to the method, different video images adopt different compression rates and realize communication of insurance data by combining satellite communication, so that the insurance processing speed under extreme conditions is greatly improved, and the user experience is greatly improved.
The application provides an insurance processing method based on satellite communication, which comprises the following steps:
s1: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image;
s2: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission;
S21: monitoring the available bandwidth B of the current satellite communication in real time;
s22: calculating a quality value I of each frame of image;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y),representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient;
s23: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate;
s24: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image;
s3: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
s4: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module.
Preferably, the step S21: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
Wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
Preferably, the step S3: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: s31: satellite communication, wherein a satellite communication module of the system is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
s32: receiving and decoding, the claim data being transmitted from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
Preferably, the encrypted and compressed claim data is sent to the nearest communication satellite a through satellite communication, including: the encrypted and compressed claim data is QPSK modulated to the frequency and format of satellite A communication by quadrature phase shift keying, and the transmitter converts the modulated data signal into radio waves and transmits the radio waves to communication satellite A via a directional antenna.
Preferably, the claim data is relayed to satellite B through a satellite network, the satellite B is connected to a receiving station at the location of the data processing center, and after the encrypted and compressed claim data arrives at satellite a, the satellite a first demodulates the QPSK modulated claim data into a baseband signal, and then uses a QAM modulation technique to remodulate the baseband signal and transmit the baseband signal to satellite B through a high gain antenna, where the gain value of the high gain antenna is 20 dB to 50 dB.
Preferably, the step S4: the data processing center analyzes the request, makes a claim settlement decision, and sends the result to the client through the satellite communication module, wherein the data processing center outputs the damaged part of the vehicle by using a trained convolutional neural network model for the decoded and decompressed claim settlement data, generates a claim settlement report, encrypts the claim settlement report and sends the encrypted claim settlement report back to the client through the satellite communication module of the data processing center.
Preferably, the convolutional neural network model trained is VGGNet.
The application also provides an insurance processing system based on satellite communication, which comprises:
and a data uploading module: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image;
encryption compression module: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission;
the available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time;
the mass value calculation module: calculating a quality value I of each frame of image;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +. >Representing the pixel value of the current frame at image (x, y),representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient;
compression ratio calculation module: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate;
and a compression module: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image;
transmitting a ground module: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
and an analysis and processing module: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module.
Preferably, the available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
Preferably, the transmitting ground module: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: the satellite communication module is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
a receiving and decoding module for transmitting the claim data from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
The invention provides an insurance processing method and system based on satellite communication, which can realize the following beneficial technical effects:
1. when an insurance event occurs, a customer submits a vehicle damage video image through a user interface; encrypting and compressing the claim data vehicle damage video image submitted by the customer to reduce the bandwidth required for transmission; the method comprises the steps of monitoring available bandwidth B of current satellite communication in real time, calculating a quality value I of each frame image, calculating a compression rate C of each frame image according to the quality value I of each image frame and the available bandwidth B, compressing a vehicle damaged video image according to the compression rate C calculated by each frame image application, sending an insurance claim settlement request to a data processing center through a satellite communication module by a system, analyzing the request by the data processing center, making claim settlement decision, and sending a result to a client through the satellite communication module; according to the method, different video images adopt different compression rates and realize communication of insurance data by combining satellite communication, so that the insurance processing speed under extreme conditions is greatly improved, and the user experience is greatly improved.
2. The invention calculates the quality value I of each frame of image according to the characteristics of the video image, further obtains the compression rate of the image according to the quality value I, and adopts the following steps in the calculation process of the quality valueFor gradient weight coefficient, ++>The transmission efficiency of video images and the complete transmission of high-quality images are greatly improved for dynamically changing weight coefficients;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y),representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient.
3. The invention creatively adopts the method for calculating the compression rate C of each frame image according to the quality value I and the available bandwidth B of the image frames;
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate; and a compression module: the vehicle damaged video image is compressed according to the calculated compression rate C of each frame image, and the transmission is selectively carried out according to the image condition of insurance transmission data, so that the transmission efficiency and the image integrity are greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of steps of an insurance processing method based on satellite communication according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
in order to solve the above-mentioned problems mentioned in the prior art, as shown in fig. 1: the insurance processing method based on satellite communication comprises the following steps:
S1: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image; in some embodiments the claim data also includes basic information such as her contact, insurance policy number, and specific date and time of accident, various angles of damaged vehicles were photographed using the cell phone, showing details of the damage to the vehicle. These videos are then uploaded by the application.
S2: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission; data encryption purpose: in order to protect the privacy and data security of the clients, sensitive information is prevented from being intercepted or leaked in the transmission process. The implementation method comprises the following steps: all claim data is encrypted at the client using a standard encryption protocol, such as AES (advanced encryption standard). For example, uploaded vehicle damage video and other information is automatically encrypted by an application on her cell phone. Compression purpose: the size of transmission data is reduced to adapt to the bandwidth limitation of satellite communication, and the transmission efficiency is improved. In some embodiments an efficient compression algorithm, such as JPEG compression, is used to process the image and H.264 or more efficient H.265 compression algorithms are used to compress the video.
S21: monitoring the available bandwidth B of the current satellite communication in real time; monitoring purpose: in order to optimize data transmission, particularly under limited satellite communication bandwidth, it is necessary to monitor the currently available bandwidth in real time. This helps to dynamically adjust the data transmission policy, for example, to adjust the compression rate of the uploaded data. The monitoring method comprises the following steps: the data transmission rate is continuously measured within a time window by the satellite communication module. This includes recording the time of transmission and reception of the data and the size of the data packet. Monitoring system: a bandwidth monitoring module is integrated in the system and is responsible for collecting and analyzing information of the data transmission rate in real time. In some embodiments the mobile device uploads claims data via satellite communications, and the bandwidth monitoring module of the device continuously monitors the average data transmission rate over the past 30 seconds by calculating the total amount of data transmitted over this period divided by time. For example, if the system has transmitted 150MB of data in total through the satellite communication module within the past 30 seconds, then the current bandwidth B can be calculated as: b=150 MB/30 seconds=5 MB/s. By monitoring the available bandwidth of satellite communications in real time, the insurance processing system can adjust the data transmission policy, such as adjusting the compression rate or optimizing the timing of data transmission, according to the current network conditions, so as to ensure the efficiency and stability of data transmission.
S22: calculating a quality value I of each frame of image; edge detection algorithms (such as Sobel operators) are used to evaluate the sharpness of the image. The image with higher definition has more obvious edges and details, which indicates that the image quality is high; weight coefficients are used to balance the impact of sharpness and contrast in overall image quality scores.
Where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y),representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient;
s23: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate; />To set a threshold.
In some embodiments K is represented as follows:
wherein,based on the adjustment factor, +.>Is a wideband flexibility parameter for controlling the sensitivity of K to bandwidth variations; in the embodiment, the calculation accuracy and adaptability of the compression ratio C are greatly enhanced by creatively adding the bandwidth into the consideration factors of the adjustment coefficient.
S24: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image; the compression of the vehicle damaged video image according to the previously calculated compression rate C of each frame image is to optimize data transmission efficiency while ensuring the retention of key information, and the compression process is to reduce the file size while maintaining the key information of the video image so as to accommodate the bandwidth limitation of satellite communication. In some embodiments, the uploaded vehicle damage video, a frame of image shows a severely damaged portion of the vehicle, and the quality value I of the frame is evaluated as being higher. The corresponding compression ratio C is calculated to be relatively low to preserve more detail. Based on the calculated C, the system applies a lower compression rate to this frame. For other frames with lower quality values, a higher compression rate is applied.
S3: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
in some embodiments, data encryption and compression encryption: first, all claim data submitted by the client (including text information, pictures, documents, etc.) is encrypted at the local client. This ensures security and privacy protection of the data during transmission. Compression: the data is then compressed by an efficient compression algorithm to reduce the bandwidth required for transmission and to speed up the data transmission process.
In some embodiments, the satellite communication module activates: after the data is ready, the satellite communication module of the system is activated. The module is an integrated hardware device capable of direct communication with communication satellites in earth orbit. Uploading data: the compressed and encrypted data is transmitted to the nearest communication satellite through the satellite communication module. Satellite relay: the data is relayed through the satellite network to another satellite, which is directly connected to a receiving station at the data processing center.
In some embodiments, the receiving station receives and decodes: data is transmitted from the satellite to a ground-based receiving station equipped with a high-performance receiving antenna and decoder. Data decompression and decryption: the receiving station decompresses and decrypts the received data and restores it to its original format for further processing. Global coverage: the system ensures smooth transfer of data wherever the customer is located, even in remote areas or where conventional communication networks are not available. Fast transmission and high reliability: by using satellite communication, data transmission is not geographically limited and has a higher reliability than conventional networks. Security and privacy protection: encryption and compression algorithms ensure the security and integrity of data during transmission. Optimizing data flow: by advanced compression techniques, data transmission is more efficient, reducing transmission time and cost. By means of the innovative method, the data transmission during the insurance process is faster, safer and more reliable, and the method can ensure the continuity and effectiveness of the insurance service especially in emergency situations, such as natural disasters.
S4: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module.
In some embodiments, the data processing center analysis request includes video image reception and preprocessing, reception and decoding: first, the data processing center receives and decodes video image data transmitted through the satellite communication module. And (3) quality enhancement: image enhancement techniques are applied to improve the sharpness and visibility of video, especially for images taken under low light or adverse weather conditions.
In some embodiments, the data processing center analysis request includes image analysis and lesion assessment, image recognition techniques: advanced image recognition and machine learning algorithms are used to analyze vehicle damage in video. The system is able to identify different types of damage, such as scratches, dents, chipping, etc. In some embodiments, lesion severity assessment: based on the extent and scope of damage, the system automatically evaluates the severity of the damage. And (5) comparing the vehicle type database: the system will compare the damaged vehicle to a database of vehicle types to estimate repair costs.
In some embodiments, decision support is made using historical data and models, historical case analysis: the system uses data similar to historical cases to support claim decisions. For example, the cost of claims for this case is predicted by analyzing historical claims data for similar vehicles and damage types. Risk assessment model: a risk assessment model is used to determine the feasibility and risk level of a claim.
In some embodiments, the claims decision and notification to the customer, the automated decision algorithm: based on the analysis, the system uses an automatic decision algorithm to determine the amount of claims and the decision. Generating a claim report: detailed claims reports are created, including damage assessment, repair cost estimation, and claims amount. Feedback via satellite communication: finally, the claims decision and report are sent back to the customer via the satellite communications module.
In some embodiments, advanced image analysis: vehicle damage is accurately analyzed using latest image recognition and machine learning techniques. Automated lesion assessment: manual intervention is reduced through automatic processing, and the speed and accuracy of claim settlement processing are improved. Historical data and risk model integration: and combining the historical case data and the risk assessment model to provide more accurate and reasonable claim settlement decision. A fast, secure feedback channel: the satellite communication ensures that even under extreme conditions, the claim decision is fed back to the customer quickly and safely.
In some embodiments, the S21: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
Wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
In some embodiments, the S3: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: s31: satellite communication, wherein a satellite communication module of the system is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
s32: receiving and decoding, the claim data being transmitted from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
In some embodiments, the preparation and encryption of claim data, the data preparation: at the local client, claims data (including text, images, and video, etc.) is collected and consolidated. Data encryption: to protect the security and privacy of the data, all claims data is encrypted prior to transmission. Encryption is performed using a standard encryption protocol, such as AES (advanced encryption standard). Compression of claim data, compression algorithm: in order to optimize bandwidth usage, the claims data is compressed. The compression rate may be dynamically adjusted according to the data type and bandwidth conditions using an adaptive compression algorithm as previously described. Activating a satellite communication module, wherein the module is activated: after the data is ready, the satellite communication module of the system is activated. The module includes a transmitter capable of transmitting the encrypted and compressed data to the satellite. Data are sent to the communication satellite A, and the data are transmitted: the encrypted and compressed claim data is transmitted to the nearest communication satellite a through the satellite communication module. This involves modulation and transmission of data signals.
In some embodiments, the data is relayed to satellite B through a satellite network, relay transmissions: from satellite a, the data is relayed to another satellite B through a satellite network. This process involves signal transmission and retransmission between satellites. Satellite B is connected to the data processing center, receives and decodes: satellite B is connected to a receiving station at the ground data processing center. The receiving station receives the signal from satellite B and decodes the data back into its original format. Data are transmitted to a data processing center, and data are processed: the decoded claim data is transmitted to a data processing center for subsequent claim processing and decision making.
In one embodiment, a vehicle accident occurs in a remote location and the insurance customer uploads photographs and videos of the accident scene as claims data through a cell phone application. The data is encrypted and compressed on the handset and then sent to the nearest communication satellite a through the satellite communication module of the handset. The data is then relayed to satellite B and ultimately transmitted to the data processing center of the insurance company for further analysis and processing. Through this process, insurance claim data can be efficiently transmitted and processed even in remote or poorly covered areas, ensuring accessibility and efficiency of insurance services.
In some embodiments, the encrypted and compressed claim data is transmitted to the nearest communication satellite a via satellite communications, comprising: the encrypted and compressed claim data is QPSK modulated to the frequency and format of satellite A communication by quadrature phase shift keying, and the transmitter converts the modulated data signal into radio waves and transmits the radio waves to communication satellite A via a directional antenna.
In some embodiments, the claim data is relayed to satellite B through a satellite network, the satellite B is connected to a receiving station at the data processing center, the satellite a first demodulates the QPSK modulated claim data into a baseband signal after the encrypted and compressed claim data arrives at satellite a, and then remodulates the baseband signal using QAM modulation techniques and transmits the baseband signal to satellite B through a high gain antenna having a gain value of 20 dB to 50 dB.
In some embodiments, the S4: the data processing center analyzes the request, makes a claim settlement decision, and sends the result to the client through the satellite communication module, wherein the data processing center outputs the damaged part of the vehicle by using a trained convolutional neural network model for the decoded and decompressed claim settlement data, generates a claim settlement report, encrypts the claim settlement report and sends the encrypted claim settlement report back to the client through the satellite communication module of the data processing center.
In some embodiments, the using a trained convolutional neural network model is VGGNet. Convolutional Neural Network (CNN) model, model type: a CNN model suitable for image recognition is selected, such as VGGNet, resNet or acceptance. These models perform well in terms of image classification and feature recognition. Training process: the model needs to be trained on a large number of marked vehicle damage images. The training process involves adjusting the weights of the model to maximize its accuracy in identifying different types and degrees of vehicle damage.
VGGNet is a popular deep convolutional neural network that is widely used for its efficient performance in the field of image recognition. The model is characterized by its simple architecture and multi-layer convolutional network structure. Model training, training data: in order to accurately identify vehicle damage, the VGGNet model needs to be trained on a large number of annotated vehicle damage images. These images cover various types of vehicle damage conditions such as scratches, dents, chipping, etc. Training process: during the training process, the model learning identifies different types and degrees of vehicle damage characteristics. This includes adjusting the internal weights of the network to maximize the accuracy of the classification of the damage condition.
Analyzing a vehicle damage video image, and processing the video: when submitting a vehicle damage video, the system first extracts key frames in the video. Image analysis: each key frame is input into the trained VGGNet model. The model analyzes the frames to identify the location of the damage and its severity. And (3) outputting: the output of the model includes classification of the type of damage and assessment of the degree of correlation, which is critical to subsequent claims decision making.
Generating a claim analysis report, wherein the report content comprises: based on the analysis results of VGGNet, the system generates a detailed claim analysis report. The report includes the location, type, and estimated repair costs of the damaged portion. Scene application: for example, a front bumper of a vehicle has a significant depression. VGGNet successfully identified this damage and classified it as a "moderate depression". This information is used to estimate repair costs and generate claims reports.
By using VGGNet, an insurance company can automatically analyze a vehicle damage video, quickly and accurately identify the location and extent of damage. This not only improves the efficiency of the claims processing, but also improves the accuracy of the decision.
The application also provides an insurance processing system based on satellite communication, which comprises: user terminal equipment
Smart phone/tablet computer: the customer is the primary device for accessing insurance applications, filling out claims forms, and uploading vehicle damage images. These devices need to have good camera functionality and sufficient processing power to run applications, encrypt and compress data. For example, a customer uses an iPhone or Android smartphone to capture video of vehicle damage and submits claims requests through a preloaded insurance company application.
Satellite communication module, satellite communication hardware: apparatus for transmitting and receiving satellite communication signals. It includes a satellite Modem (Modem), a transmitter and a receiver. The satellite communication module integrated in the smart phone or mobile device is capable of transmitting encrypted and compressed data to the designated communication satellite.
Satellite network, communication satellite: earth orbit satellites for data transmission. These satellites receive signals from the ground and relay the signals to other satellites or directly to ground stations as needed. For example, communication satellite a and satellite B form a link that transmits data from a client device to the data processing center of the insurance company.
The ground receiving station includes a receiving antenna and a decoder: the ground station is equipped with an antenna and decoder for receiving satellite signals. These devices are used to capture data from satellites and convert it to a usable digital format. The data processing center of the insurance company is provided with a special receiving antenna for receiving the encrypted data transmitted from the satellite B.
The data processing center comprises a server and a storage device: powerful computing servers are used to process and analyze received claims data, as well as perform advanced tasks such as image recognition. In addition, mass storage is required to hold claims data and analysis results. The data center of the insurance company is equipped with a high-performance server group and a large-scale data storage facility for running a deep learning model such as VGGNet and storing a large amount of claim data.
And a data uploading module: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image;
encryption compression module: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission;
the available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time;
the mass value calculation module: calculating a quality value I of each frame of image;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y), Representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient;
compression ratio calculation module: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate;
and a compression module: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image;
transmitting a ground module: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
and an analysis and processing module: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module. In one embodiment, a customer submits claims requests, including photographs and videos of the scene of an accident, through his smart phone application after encountering a vehicle accident. The data processing center receives and analyzes the data, evaluates the damage degree by using the image recognition technology, and then calculates a reasonable claim amount. This decision is then compiled into a report, which is then sent back to the customer via satellite communication after encryption. And the client receives the claim settlement result through the mobile phone application and acquires the compensation amount and the subsequent processing flow.
In one embodiment, the preparation of the claim result and the encryption, result preparation: the claim decision is compiled into a clear report or notification format. Encryption process: for security and privacy reasons, these claims are encrypted before transmission. Transmitting, modulating and transmitting by a satellite communication module: the encrypted claim result data is modulated and transmitted to the satellite B through a satellite communication module of the data processing center. Relay transmission: after receiving the signal, satellite B forwards it to satellite a, and then to the receiving device at the customer site.
In some embodiments, the available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
In some embodiments, the transmitting surface module: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: the satellite communication module is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
A receiving and decoding module for transmitting the claim data from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
In some embodiments, the modulation and transmission of data to satellite a, modulation process: the encrypted and compressed claim data first needs to be modulated to accommodate the frequency and format of satellite communications. This typically involves modulation of the digital signal, for example using a modulation technique such as QPSK (quadrature phase shift keying) or QAM (quadrature amplitude modulation). The transmitting process comprises the following steps: the modulated data signal is transmitted over the air through a transmitter of the satellite communication module. The transmitter converts the signal into radio waves and transmits the radio waves to the nearest communication satellite a through a directional antenna. In a vehicle accident occurring in a remote area, claim data of insurance customers are encrypted and compressed, and then modulated into signals suitable for satellite communication using a QPSK modulation technique, and transmitted to a communication satellite A in the air through a satellite communication module.
Satellite a to satellite B relay transmissions, satellite relay: after satellite a receives a signal from the ground, the signal needs to be relayed to another satellite B through the satellite network. This process involves the reception, processing and forwarding of signals. Signal processing and forwarding: the signal received by satellite a is first processed (e.g., amplified and corrected) and then retransmitted. This typically involves remodulation of the signal to accommodate different transmission bands, and retransmission using a high gain antenna on the satellite.
In some embodiments: the insurance customer's claim data is remodulated and forwarded to satellite B after reaching satellite a. In this process, satellite a uses its high gain antenna to efficiently transmit signals to satellite B, which is geographically diverse. High gain antenna function: high gain antennas are used to improve the transmission efficiency and the sensitivity of the reception of signals. In satellite communications, such antennas ensure that the signal maintains a strong strength and low signal attenuation even over long distances. A high gain antenna has a narrower beamwidth than a conventional antenna, which means that it can be more accurately directed to a particular satellite, thereby improving the effectiveness of communication. After satellite a receives the claims data from the ground, it uses its high gain antenna to precisely transmit the data to another satellite B. For example, if satellite a and satellite B are thousands of kilometers apart, a high gain antenna can ensure that the signal does not excessively attenuate over this distance.
In one embodiment, a high gain antenna for communicating with a communications satellite in geostationary orbit has the following characteristics:
gain: 30 dB (dB);
beam width: 2 °;
frequency range: support Ku band;
Polarization: support dual linear polarization;
shape: a large parabolic antenna.
When selecting a high gain antenna, it is generally necessary to determine the most suitable model and parameters according to the actual application scenario and technical requirements. For example, the communication distance between satellite a and satellite B, the frequency band used, and the physical constraints of the antenna installation may all affect the antenna selection.
In some embodiments, the reason for the necessity of remodulation is: because different satellites use different communications bands and standards, the received signals need to be remodulated to accommodate the reception standards of satellite B before satellite a forwards the signals to satellite B. The remodulation process: remodulation involves demodulating the original signal and then remodulating the signal using a modulation technique compatible with satellite B. This involves changing the frequency, phase or amplitude of the signal. Modulation technique: for example, if satellite a receives a QPSK modulated signal and satellite B uses a QAM modulation technique, then satellite a needs to demodulate the signal from QPSK to a baseband signal and then re-modulate with QAM.
The invention provides an insurance processing method and system based on satellite communication, which can realize the following beneficial technical effects:
1. When an insurance event occurs, a customer submits a vehicle damage video image through a user interface; encrypting and compressing the claim data vehicle damage video image submitted by the customer to reduce the bandwidth required for transmission; the method comprises the steps of monitoring available bandwidth B of current satellite communication in real time, calculating a quality value I of each frame image, calculating a compression rate C of each frame image according to the quality value I of each image frame and the available bandwidth B, compressing a vehicle damaged video image according to the compression rate C calculated by each frame image application, sending an insurance claim settlement request to a data processing center through a satellite communication module by a system, analyzing the request by the data processing center, making claim settlement decision, and sending a result to a client through the satellite communication module; according to the method, different video images adopt different compression rates and realize communication of insurance data by combining satellite communication, so that the insurance processing speed under extreme conditions is greatly improved, and the user experience is greatly improved.
2. The invention calculates the quality value I of each frame of image according to the characteristics of the video image, further obtains the compression rate of the image according to the quality value I, and adopts the following steps in the calculation process of the quality valueFor gradient weight coefficient, ++ >The transmission efficiency of video images and the complete transmission of high-quality images are greatly improved for dynamically changing weight coefficients;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing an image of a current frame at an image (x, y)The value of the element is calculated,representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient.
3. The invention creatively adopts the method for calculating the compression rate C of each frame image according to the quality value I and the available bandwidth B of the image frames:
wherein K is an adjustment coefficient, when the available bandwidthIncreasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate; and a compression module: the vehicle damaged video image is compressed according to the calculated compression rate C of each frame image, and the transmission is selectively carried out according to the image condition of insurance transmission data, so that the transmission efficiency and the image integrity are greatly improved.
The foregoing has described in detail a method and system for processing insurance based on satellite communications, and specific examples have been used herein to illustrate the principles and embodiments of the present invention, the above examples being provided only to assist in understanding the core idea of the present invention; also, as will be apparent to those skilled in the art in light of the present teachings, the present disclosure should not be limited to the specific embodiments and applications described herein.
Claims (10)
1. The insurance processing method based on satellite communication is characterized by comprising the following steps:
s1: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image;
s2: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission;
s21: monitoring the available bandwidth B of the current satellite communication in real time;
s22: calculating a quality value I of each frame of image;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y), for example>Representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is a dynamically changing weight coefficient;
s23: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthWhen, then increasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate,/>Setting a threshold value;
s24: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image;
S3: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
s4: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module.
2. The method for processing insurance based on satellite communication according to claim 1, wherein said S21: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
3. The method for processing insurance based on satellite communication according to claim 1, wherein said S3: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: s31: satellite communication, wherein a satellite communication module of the system is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
S32: receiving and decoding, the claim data being transmitted from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
4. A method of claim 3, wherein the encrypted and compressed claim data is transmitted to the nearest communication satellite a via satellite communication, comprising: the encrypted and compressed claim data is QPSK modulated to the frequency and format of satellite A communication by quadrature phase shift keying, and the transmitter converts the modulated data signal into radio waves and transmits the radio waves to communication satellite A via a directional antenna.
5. A method of claim 3, wherein the claim data is relayed to satellite B via a satellite network, the satellite B being connected to a receiving station at the data processing center, the method comprising demodulating the QPSK modulated claim data to a baseband signal by satellite a after the encrypted and compressed claim data arrives at satellite a, and then remodulating the baseband signal using QAM modulation and transmitting the baseband signal to satellite B via a high gain antenna having a gain value of 20 dB to 50 dB.
6. The method for processing insurance based on satellite communication according to claim 1, wherein said S4: the data processing center analyzes the request, makes a claim settlement decision, and sends the result to the client through the satellite communication module, wherein the data processing center outputs the damaged part of the vehicle by using a trained convolutional neural network model for the decoded and decompressed claim settlement data, generates a claim settlement report, encrypts the claim settlement report and sends the encrypted claim settlement report back to the client through the satellite communication module of the data processing center.
7. The method of claim 6, wherein the using a trained convolutional neural network model is VGGNet.
8. A satellite communication based insurance processing system, comprising:
and a data uploading module: when an insurance event occurs, a customer submits an insurance claim settlement request through a user interface, wherein the insurance claim settlement request comprises uploading claim settlement data, and the claim settlement data comprises a vehicle damage video image;
encryption compression module: encrypting and compressing claim data submitted by a client in a local client so as to reduce the bandwidth required by transmission;
the available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time;
The mass value calculation module: calculating a quality value I of each frame of image;
where W is the width of the video frame image, H is the height of the video frame image,sobel gradient of video frame image in x and y directions, respectively, +.>Representing the pixel value of the current frame at image (x, y), for example>Representing pixel values of a previous frame at an image (x, y); />For gradient weight coefficient, ++>Is movingA state change weight coefficient;
compression ratio calculation module: calculating the compression rate C of each frame image according to the quality value I of the image frame and the available bandwidth B;
wherein K is an adjustment coefficient, when the available bandwidthWhen, then increasing the value of K to increase the compression rate, otherwise decreasing the value of K to decrease the compression rate,/>Setting a threshold value;
and a compression module: compressing the vehicle damaged video image according to the calculated compression rate C applied to each frame image;
transmitting a ground module: the system sends an insurance claim settlement request to the data processing center through the satellite communication module;
and an analysis and processing module: the data processing center analyzes the request, makes a claim settlement decision, and transmits the result to the client through the satellite communication module.
9. The satellite communication-based insurance processing system of claim 8, wherein said available bandwidth calculation module: monitoring the available bandwidth B of the current satellite communication in real time, including: monitoring in real time the data transmission rate with the satellite communication link, measuring the amount of data transmitted in a time T window to calculate the available bandwidth B:
Wherein,is the size of the ith packet, n is +.>Total number of data packets transmitted internally.
10. The satellite communication-based insurance processing system of claim 8, wherein said transmitting ground module: the system sends an insurance claim request to the data processing center through the satellite communication module, and the system comprises: the satellite communication module is activated after the claim data is compressed; the encrypted and compressed claim data is sent to the nearest communication satellite A through satellite communication; the claim data is relayed to a satellite B through a satellite network, and the satellite B is connected with a receiving station of the data processing center;
a receiving and decoding module for transmitting the claim data from the satellite to a ground receiving station, the ground receiving station being configured with a receiving antenna and a decoder; the decoder decompresses and decrypts the received claim data.
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| CN113225590A (en) * | 2021-05-06 | 2021-08-06 | 深圳思谋信息科技有限公司 | Video super-resolution enhancement method and device, computer equipment and storage medium |
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