Strong-penetrability efficient communication system for emergency rescue

Abstract

The invention discloses an emergency rescue-oriented high-penetrability efficient communication system, which comprises a transmitting end and a receiving end, and is characterized in that the transmitting end comprises a first data processing module and a low-frequency transmitting module, and the receiving end comprises a signal acquisition module, a signal processing module, a second data processing module and a task execution module; the first data processing module is used for processing the original data to obtain a compressed code; the low-frequency signal sending module is used for performing low-frequency processing on the compressed codes and sending low-frequency electromagnetic wave signals; the signal acquisition module is used for acquiring digital signals in the low-frequency electromagnetic wave signals; the signal processing module is used for performing multi-stage filtering processing on the digital signal to obtain a filtered signal; the second data processing module is used for demodulating the filtered signal and recovering semantic information in combination with a predefined knowledge graph; and the task execution module is used for executing a corresponding rescue task according to the recovered semantic information.

Description

Technical Field

[0001] The present invention belongs to the technical field of low-frequency communication, and particularly relates to a high-penetration and high-efficiency communication system for emergency rescue. Background Art

[0002] In emergency rescue scenarios, stable and reliable communication plays a crucial role in key tasks such as command and dispatch, resource allocation, and life rescue. Especially in the face of sudden disasters or extreme environments, rapid and accurate information transmission can significantly improve rescue efficiency, reduce losses, and maximize the protection of personnel's lives. However, traditional emergency rescue communication systems have many limitations in practical applications and are difficult to meet the complex and changing rescue requirements.

[0003] Traditional emergency communication systems include wired communication and wireless high-frequency communication. Wired communication can provide relatively stable signals, but it is overly dependent on physical lines, lacks flexibility, and is extremely vulnerable to damage after natural disasters or emergencies, resulting in communication paralysis and seriously affecting rescue work. Wireless high-frequency communication has higher flexibility, but poor signal penetration, and is extremely vulnerable to interference from complex environmental factors, affecting the stability of signal transmission and making it difficult to meet the urgent requirements for reliability in emergency rescue.

[0004] Existing emergency rescue communication systems cannot effectively ensure the provision of stable and reliable communication links during disasters and are difficult to meet the complex and changing rescue requirements. Compared with wired communication and wireless high-frequency communication, low-frequency electromagnetic waves have stable propagation characteristics and small medium attenuation, and can penetrate deep into seawater, underground, and buildings with relatively small losses. At the same time, it has strong signal reliability and can effectively resist various external interferences. However, the size of traditional low-frequency transmitting antennas is closely related to the wavelength of electromagnetic waves, resulting in problems such as large system size, low radiation efficiency, and high energy consumption in existing transmitting antennas. Mechanical antennas generate changing electric or magnetic fields through the mechanical movement of electric dipoles or magnetic dipoles, and then radiate low-frequency electromagnetic waves. This solution enables the near-field energy that is difficult to utilize in traditional antennas to play a role in antenna radiation, achieving the miniaturization of low-frequency communication devices. However, the bandwidth of low-frequency antennas is narrow, severely limiting the data transmission efficiency, and the traditional communication method that takes bit streams as the processing object is difficult to meet the real-time requirements in emergency rescue. Summary of the Invention

[0005] To solve the above technical problems, the present invention proposes a high-penetration and high-efficiency communication system for emergency rescue, which can solve the problems that traditional emergency rescue communication systems cannot provide stable and reliable communication links, and that traditional low-frequency transmitting antennas are large in size and have low data transmission efficiency under the limitation of narrow bandwidth.

[0006] To achieve the above object, the present invention provides a high-penetration and efficient communication system for emergency rescue, including: a transmitting end and a receiving end. The transmitting end includes: a first data processing module and a low-frequency transmitting module. The receiving end includes: a signal acquisition module, a signal processing module, a second data processing module, and a task execution module;

[0007] The first data processing module is used to process the original data to obtain a compressed code;

[0008] The low-frequency transmitting module is used to perform low-frequency processing on the compressed code and send a low-frequency electromagnetic wave signal;

[0009] The signal acquisition module is used to obtain the digital signal in the low-frequency electromagnetic wave signal;

[0010] The signal processing module is used to perform multi-stage filtering processing on the digital signal to obtain a filtered signal;

[0011] The second data processing module is used to demodulate the filtered signal and restore semantic information in combination with a predefined knowledge graph;

[0012] The task execution module is used to execute corresponding rescue tasks according to the restored semantic information.

[0013] Optionally, the original data includes: structured data, semi-structured data, and unstructured data.

[0014] Optionally, processing the original data to obtain a compressed code includes:

[0015] Performing denoising and format conversion processing on the original data, and using BERT-BILSTM-CRF to extract and select semantic information from the processed data to obtain target information;

[0016] Compressing the target information and converting it into a binary code to obtain the compressed code.

[0017] Optionally, performing low-frequency processing on the compressed code to obtain a low-frequency electromagnetic wave signal includes:

[0018] Adopting frequency shift keying modulation method to convert the compressed code into a low-frequency electromagnetic wave signal.

[0019] Optionally, the signal acquisition module includes: a magnetic field sensor and a data integration card;

[0020] The magnetic field sensor is used to capture the low-frequency electromagnetic signal in the low-frequency electromagnetic wave signal and convert the low-frequency electromagnetic signal into an analog electrical signal;

[0021] The data integration card is used to sample and quantize the analog electrical signal to obtain the digital signal.

[0022] Optionally, the signal processing module performs multi-stage filtering on the digital signal using a low-pass filter to obtain a filtered signal.

[0023] Optionally, demodulating the filtered signal and recovering semantic information in combination with a predefined knowledge graph includes:

[0024] Using the predefined knowledge graph to extract entities by triples;

[0025] Encoding the entity to obtain encoded information;

[0026] Decoding the encoded information to obtain a decoding result;

[0027] Based on the decoding result, obtain the recovered semantic information.

[0028] Optionally, demodulating the filtered signal and recovering semantic information in combination with a predefined knowledge graph further includes:

[0029] Comparing the decoding result with the triples in the predefined knowledge graph to evaluate the accuracy of the decoding result.

[0030] Compared with the prior art, the present invention has the following advantages and technical effects:

[0031] 1. The present invention adopts a miniaturized low-frequency transmitting antenna, significantly reducing the volume and weight of the system, optimizing the signal transmission characteristics, and enabling the system to provide an efficient and reliable communication link in a complex environment.

[0032] 2. While utilizing the strong penetration and high anti-interference ability of low-frequency electromagnetic waves, by introducing semantic communication technology, the problem of low data transmission efficiency of traditional communication methods under narrow bandwidth conditions is solved, enabling the system to transmit core information with practical significance and value under limited bandwidth conditions, effectively improving the data transmission speed and efficiency.

[0033] 3. The lightweight and miniaturized design of the present invention enables the integrated deployment of the transmitting end and the receiving end, forming a transceiver-integrated communication unit, reducing the volume and weight of the equipment, improving the flexibility and convenience of the equipment, and greatly enhancing the task response speed and execution efficiency.

[0034] 4. The execution unit of the present invention consists of small robots. It can not only reach areas where people cannot enter or are difficult to reach, but also has a high level of intelligent execution ability. The robots can autonomously complete multiple tasks such as search and rescue and material provision according to instructions. In addition, the robots also have the ability of real-time feedback, and can transmit the location and environmental information of the trapped people back to the ground command node. Through the intelligent task execution mechanism, the system can dynamically adjust the rescue plan according to the actual situation, thereby improving the flexibility and efficiency of task execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0036] Figure 1 is a structural diagram of a strong penetration and high-efficiency communication system for emergency rescue according to an embodiment of the present invention;

[0037] Figure 2 is a flowchart of the implementation of semantic communication technology according to an embodiment of the present invention;

[0038] Figure 3 is a schematic diagram of the deployment of a strong penetration and high-efficiency communication system for emergency rescue according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine the embodiments to detail this application.

[0040] It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0041] The present invention proposes a strong penetration and high-efficiency communication system for emergency rescue, as Figure 1 shown, specifically including: a transmitting end and a receiving end. The transmitting end includes: a first data processing module and a low-frequency transmitting module. The receiving end includes: a signal acquisition module, a signal processing module, a second data processing module, and a task execution module;

[0042] The first data processing module is used to process the original data to obtain compressed coding;

[0043] The low-frequency transmitting module is used to perform low-frequency processing on the compressed coding and transmit low-frequency electromagnetic wave signals;

[0044] A signal acquisition module for obtaining digital signals in low-frequency electromagnetic wave signals;

[0045] A signal processing module for performing multi-stage filtering on the digital signals to obtain filtered signals;

[0046] A second data processing module for demodulating the filtered signals and restoring semantic information in combination with a predefined knowledge graph;

[0047] A task execution module for performing corresponding rescue tasks according to the restored semantic information.

[0048] Specifically, to solve the problems that traditional emergency rescue communication systems cannot provide stable and reliable communication links, and traditional low-frequency transmitting antennas are huge in size and have low data transmission efficiency under the limitation of narrow bandwidth, the technical solutions adopted by the present invention include: a low-frequency transmitting module, a data processing module, a signal acquisition module, a signal processing module, and a task execution module, and efficient and reliable semantic information transmission and task execution are achieved through the collaborative operation of multiple modules.

[0049] Further, the original data includes: structured data, semi-structured data, and unstructured data.

[0050] Further, the processing of the original data to obtain compression encoding includes:

[0051] Performing denoising and format conversion on the original data, and using BERT-BILSTM-CRF to extract and select semantic information from the processed data to obtain target information;

[0052] Compressing the target information and converting it into binary encoding to obtain compression encoding.

[0053] Specifically, the transmitting end consists of a low-frequency transmitting module and a first data processing module. The first data processing module consists of a high-performance computer and related software modules, and this module is responsible for the preliminary processing of the original data, including basic operations such as denoising and format conversion to ensure data quality. Subsequently, semantic features of the preprocessed data are extracted and selected, and key information is extracted from the data through efficient algorithms and models, compressed and converted into binary encoding and sent to the low-frequency transmitting module.

[0054] Further, the low-frequency processing of the compression encoding and the sending of low-frequency electromagnetic wave signals include:

[0055] Adopting frequency shift keying modulation to convert the compression encoding into low-frequency electromagnetic wave signals.

[0056] Specifically, the low-frequency signal transmitting module consists of a mechanical antenna and a control unit, and is capable of transmitting low frequencies of different frequencies within a certain range. This module controls the operating parameters of the mechanical antenna according to the received binary encoded information, modulates the frequency of the output electromagnetic wave, thereby realizing the low-frequency transmission of the encoded information. Specifically, the system adopts Frequency Shift Keying (FSK) modulation technology to convert the binary encoded information into a low-frequency electromagnetic wave signal, and utilizes the strong penetration and high anti-interference ability of the low-frequency electromagnetic wave to achieve stable transmission in a complex environment.

[0057] Further, the signal acquisition module includes: a magnetic field sensor and a data integration card;

[0058] The magnetic field sensor is used to capture the low-frequency electromagnetic signal in the low-frequency electromagnetic wave signal and convert the low-frequency electromagnetic signal into an analog electrical signal;

[0059] The data integration card is used to sample and quantify the analog electrical signal to obtain a digital signal.

[0060] Specifically, the receiving end consists of a signal acquisition module, a signal processing module, a data processing module, and a task execution module. The signal acquisition module is composed of a high-sensitivity magnetic field sensor and a high-precision data acquisition card. The high-sensitivity magnetic field sensor is responsible for capturing the transmitted low-frequency electromagnetic signal in real time and converting the received low-frequency electromagnetic signal into an analog electrical signal. The high-precision data acquisition card samples and quantifies the analog signal and converts it into a digital signal for subsequent processing.

[0061] Further, the signal processing module uses a low-pass filter to perform multi-stage filtering on the digital signal to obtain the filtered signal.

[0062] Specifically, the signal processing module consists of a filter circuit, which is used to perform multi-stage filtering on the digital signal. This filter circuit adopts the design of a low-pass filter, which can effectively remove high-frequency noise, power frequency interference, and other environmental interferences in the low-frequency electromagnetic signal. And through an adaptive filtering algorithm, the filtering parameters are dynamically adjusted to ensure the purity and stability of the signal.

[0063] Further, the demodulation of the filtered signal and the restoration of semantic information in combination with a predefined knowledge graph include:

[0064] Using the predefined knowledge graph to extract entities in triples;

[0065] Encoding the entity to obtain encoded information;

[0066] Decoding the encoded information to obtain a decoding result;

[0067] Based on the decoding result, obtain the restored semantic information.

[0068] Specifically, the second data processing module consists of a high-performance computer and related software. This module is mainly responsible for demodulating the processed signal and restoring and reconstructing semantic information by combining a predefined knowledge graph for emergency rescue. The task execution module consists of small robots. This module performs corresponding rescue tasks according to the restored semantic information, such as searching for trapped people, providing emergency supplies, or performing environmental monitoring, etc.

[0069] Furthermore, the demodulation of the filtered signal and the restoration of semantic information by combining the predefined knowledge graph also include:

[0070] Comparing the decoding result with the triples in the predefined knowledge graph to evaluate the accuracy of the decoding result.

[0071] Specifically, the semantic communication in the data processing module is as Figure 2 shown. First, preprocess the structured, unstructured, and semi-structured data information, and use BERT-BILSTM-CRF to extract and select semantic information from the preprocessed data. Subsequently, use the knowledge graph to extract triples to extract entities. Secondly, based on the dynamic coding method of multi-level semantic information, adaptively adjust the coding method according to the current bandwidth condition to achieve optimal data compression and transmission efficiency. In the decoding stage, the system converts the received coded information into the original semantic information through an adaptive decoding algorithm and a context feedback mechanism. The decoding result will be compared with the triples in the knowledge graph, and the accuracy of the decoding result will be evaluated by calculating the embedding average and cosine similarity, as shown in formulas (1)-(2), and the result will be corrected using the similarity feedback mechanism to improve the reliability of semantic restoration.

[0072]

[0073] In the formula, represents the average vector of all triple embedding vectors in set A, represents the average vector of all triple embedding vectors in set B, and the specific calculation method is as shown in formula (2):

[0074]

[0075] In the formula, n is the number of triples or entities in the set, and the vector of each unit is represented as V i .

[0076] Specifically, the lightweight and miniaturized design of this system enables the integrated deployment of the transmitter and receiver, thus realizing transceiver integration. This design significantly improves the flexibility and convenience of the system, making the deployment of the device in emergency rescue or other complex environments more efficient and convenient.

[0077] The deployment schematic diagram of a strong penetration and high-efficiency communication system for emergency rescue is as follows Figure 3 shown. The ground command node gives corresponding rescue instructions according to the current mission requirements and environmental conditions, and sends them to the small robot through this system. On the one hand, after receiving the instructions sent by the ground command node, the small robot will take corresponding actions according to the instructions, including providing supplies, etc. On the other hand, the small robot can also real-time feedback the information obtained during the mission execution, such as the location of trapped people, environmental conditions, etc. to the ground command node. In this way, the small robot can continuously optimize and adjust the rescue operation plan according to the actual mission requirements and feedback information.

[0078] The above is only a preferred specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A high-penetration and high-efficiency communication system for emergency rescue, characterized in that, Including: A transmitting end and a receiving end. The transmitting end includes: a first data processing module and a low-frequency transmitting module. The receiving end includes: a signal acquisition module, a signal processing module, a second data processing module, and a task execution module; The first data processing module is used to process the original data to obtain a compression code; The low-frequency transmitting module is used to perform low-frequency processing on the compression code and send a low-frequency electromagnetic wave signal; The signal acquisition module is used to obtain the digital signal in the low-frequency electromagnetic wave signal; The signal processing module is used to perform multi-stage filtering processing on the digital signal and send a low-frequency electromagnetic wave signal; The second data processing module is used to demodulate the filtered signal and restore the semantic information in combination with a predefined knowledge graph; The task execution module is used to execute corresponding rescue tasks according to the restored semantic information.

2. The high - penetration and high - efficiency communication system for emergency rescue according to claim 1, characterized in that, The original data includes: structured data, semi-structured data, and unstructured data.

3. The high-penetration and high-efficiency communication system for emergency rescue according to claim 2, wherein Processing the original data to obtain a compression code includes: Performing denoising and format conversion processing on the original data, and using BERT-BILSTM-CRF to extract and select semantic information from the processed data to obtain target information; Compressing the target information and converting it into a binary code to obtain the compression code.

4. A highly penetrating and efficient communication system for emergency rescue according to claim 1, characterized in that, Performing low-frequency processing on the compression code and sending a low-frequency electromagnetic wave signal includes: Using frequency shift keying modulation method to convert the compression code into a low-frequency electromagnetic wave signal.

5. The high - penetration and high - efficiency communication system for emergency rescue according to claim 1, wherein, The signal acquisition module includes: a magnetic field sensor and a data integration card; The magnetic field sensor is used to capture the low-frequency electromagnetic signal in the low-frequency electromagnetic wave signal and convert the low-frequency electromagnetic signal into an analog electrical signal; The data integration card is used to sample and quantize the analog electrical signal to obtain the digital signal.

6. The high-penetration and high-efficiency communication system for emergency rescue according to claim 1, wherein The signal processing module uses a low-pass filter to perform multi-stage filtering processing on the digital signal to obtain a filtered signal.

7. The high - penetration and high - efficiency communication system for emergency rescue according to claim 1, characterized in that, Demodulating the filtered signal and restoring the semantic information in combination with a predefined knowledge graph includes: Using the predefined knowledge graph to extract entities in triples; Encoding the entity to obtain encoded information; Decoding the encoded information to obtain a decoding result; Based on the decoding result, obtaining the restored semantic information.

8. An emergency rescue-oriented strong penetration and high-efficiency communication system according to claim 7, characterized in that, Demodulating the filtered signal and restoring the semantic information in combination with a predefined knowledge graph further includes: Comparing the decoding result with the triples in the predefined knowledge graph to evaluate the accuracy of the decoding result.

Images