Emergency communication deployment method for centralized control center

Abstract

The invention relates to the technical field of emergency communication, and discloses a centralized control center emergency communication deployment method. The method comprises the following steps: collecting and analyzing historical emergency event data, analyzing information transmission contents and priorities thereof under different types of emergency events, evaluating existing communication facilities and performances thereof, formulating a diversified communication link design scheme, adding link redundancy in the design, selecting corresponding communication equipment according to link design requirements, and establishing a diversified communication link design scheme. The method comprises the following steps: configuring a channel, a bandwidth and a data format of selected equipment, designing and implementing a data encryption scheme, configuring communication access control and security measures, performing encryption strength evaluation, performing communication deployment, formulating a fault processing mechanism, monitoring link quality, data flow and a fault state in real time, and sending out communication early warning in time. After deployment is completed, drilling based on different emergency scenes is carried out, the effectiveness of a communication system and the response ability of personnel are tested, drilling data are collected, and the improvement space of emergency communication deployment is analyzed and recognized.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency communication, and specifically to a method for deploying emergency communication in a centralized control center. Background Art

[0002] Emergency communication refers to a series of communication means and measures taken to ensure the timely transmission and communication of information in the event of emergencies or disasters. These emergencies include natural disasters, accidents, etc. Through emergency communication, it supports the emergency management department to make effective decisions and commands during disasters, helps disaster victims obtain information, arrange rescue and recovery work, and issue alerts and noteworthy information to the public to ensure people's safety.

[0003] Currently, most emergency communications lack effective data encryption and security measures during data transmission, resulting in problems such as unauthorized data access and data leakage, which reduces the communication reliability in emergency situations. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a method for deploying emergency communication in a centralized control center. It is capable of collecting and analyzing historical emergency event data, including natural disaster events and human-caused hazard events, to analyze the information transmission content and its priority under different types of emergency events, calculating the mean time between failures (MTBF), mean time to repair (MTTR), and equipment availability percentage of devices, evaluating existing communication facilities and their performance, formulating a diversified communication link design plan, including wired, wireless, and satellite communication methods, to meet the requirements of different emergency scenarios. Redundancy is added to the design, the number of redundant links and the maximum bandwidth required during peak periods are calculated. According to the link design requirements, corresponding communication devices are selected, the channels, bandwidth, and data formats of the selected devices are configured, the data transmission rate and data transmission delay are calculated, a data encryption scheme is designed and implemented, communication access control and security measures are configured, and the encryption strength is evaluated. Communication deployment is carried out, a fault handling mechanism is formulated, the link quality, data traffic, and fault status are monitored in real time, communication warnings are issued in a timely manner. After the deployment is completed, drills based on different emergency scenarios are carried out to test the effectiveness of the communication system and the response ability of personnel, and drill data is collected. The improvement space of emergency communication deployment is analyzed and identified. By encrypting the data during the emergency communication transmission process, unauthorized data access and data leakage are prevented, a real-time monitoring platform is constructed to track and analyze the communication status, communication faults are discovered and processed in a timely manner, and the communication reliability in emergency situations is improved, thus solving the above problems.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A method for deploying emergency communication in a centralized control center, comprising the following steps:

[0008] S1. Collect and analyze historical emergency event data, including natural disaster events and human hazard events, for analyzing the information transmission content and its priority under different types of emergency events, and calculating the mean time between failures of equipment, the average repair time of equipment, and the equipment availability percentage, and evaluating the existing communication facilities and their performance;

[0009] S2. Develop a diversified communication link design scheme, including wired, wireless, and satellite communication methods, for meeting the requirements of different emergency scenarios, adding link redundancy in the design, and calculating the number of redundant links and the maximum bandwidth required during peak periods;

[0010] S3. Select corresponding communication equipment according to the link design requirements, configure the channels, bandwidth, and data format of the selected equipment, and calculate the data transmission rate and data transmission delay;

[0011] S4. Design and implement a data encryption scheme, configure communication access control and security measures, and conduct an encryption strength assessment;

[0012] S5. Conduct communication deployment, develop a fault handling mechanism, monitor the link quality, data traffic, and fault status in real time, and issue communication warnings in a timely manner;

[0013] S6. After the deployment is completed, conduct drills based on different emergency scenarios, test the effectiveness of the communication system and the response ability of personnel, and collect drill data, analyze and identify the improvement space for emergency communication deployment.

[0014] Preferably, the formula for calculating the information priority in S1 is as follows:

[0015] Zhyx = Jdpf * 0.4 + Xxzy * 0.3 + Syxs * 0.2 + Sxpf * 0.1

[0016] In the formula, Zhyx represents the information priority, Jdpf represents the information urgency score, Xxzy represents the information importance score, Syxs represents the number of affected people score, Sxpf represents the information timeliness score, and the above scores are obtained through statistical analysis.

[0017] Preferably, the formula for calculating the mean time between failures of equipment in S1 is as follows:

[0018]

[0019] In the formula, Pgsz represents the mean time between failures, Zxsj represents the total time of the device in the normal working state, which is obtained through the operation log of the device, Gzcs represents the number of device failures, which is obtained through the fault handling log.

[0020] Preferably, the formula for the S1 to calculate the average repair time of the device is as follows:

[0021]

[0022] In the formula, Xfsj represents the average repair time of the device, Xpdz represents the total time required for the device to be repaired from the occurrence of the fault to the completion of the repair, Gzcs represents the number of device failures, and the above values are obtained through the fault handling log.

[0023] Preferably, the formula for the S1 to calculate the device availability percentage is as follows:

[0024]

[0025] In the formula, Kybf represents the device availability percentage, Pgsz represents the mean time between failures, and Xfsj represents the average repair time of the device.

[0026] Preferably, the formula for the S2 to calculate the number of redundant links is as follows:

[0027]

[0028] In the formula, Rysl represents the number of redundant links, Sxky represents the required availability percentage of the service, which is determined by the service level agreement SLA, and Llsz represents the number of links, which is obtained through the network architecture document.

[0029] Preferably, the formula for the S2 to calculate the maximum bandwidth required during peak periods is as follows:

[0030] Zddk = Yhrs * Pjkx

[0031] In the formula, Zddk represents the maximum bandwidth required during peak periods, Yhrs represents the number of users using the service simultaneously during peak periods, which is obtained through the traffic monitoring tool, and Pjkx represents the average bandwidth requirement of each user during peak periods, which is obtained through network traffic analysis.

[0032] Preferably, the formula for the S3 to calculate the data transmission rate is as follows:

[0033]

[0034] In the formula, Cssl represents the data transmission rate, Xddk represents the channel bandwidth, which is obtained through a spectrum analyzer, Xghl represents the signal power, which is obtained through measurement by a signal strength meter, and Zsgl represents the noise power, which is obtained through an environmental noise measurement device.

[0035] Preferably, the formula for calculating the data transmission delay in S3 is as follows:

[0036] Scyc = Cbyc + Pdyc + Clyc + Lcyc

[0037] In the formula, Scyc represents the data transmission delay, Cbyc represents the propagation delay, which is calculated by dividing the distance by the propagation speed, Pdyc represents the queuing delay, Clyc represents the processing delay, which is obtained through a network monitoring tool, and Lcyc represents the transmission delay, which is calculated by dividing the packet size by the link bandwidth.

[0038] Preferably, the formula for evaluating the data encryption strength in S4 is as follows:

[0039]

[0040] In the formula, Gdsj represents the attack time, k represents the key length, which is determined according to the encryption protocol, Bjsl represents the data attack rate, which is obtained according to the CPU computing power, and 2 represents the binary base.

[0041] Compared with the prior art, the present invention provides a method for emergency communication deployment of a centralized control center, having the following beneficial effects:

[0042] The present invention collects and analyzes historical emergency event data, including natural disaster events and human hazard events, to analyze the information transmission content and its priority under different types of emergency events, calculates the mean time between failures, mean time to repair, and equipment availability percentage of equipment, evaluates the existing communication facilities and their performance, formulates a diversified communication link design plan, including wired, wireless, and satellite communication methods, to meet the requirements of different emergency scenarios, adds link redundancy in the design, calculates the number of redundant links and the maximum bandwidth required during peak periods, selects corresponding communication equipment according to the link design requirements, configures the channels, bandwidth, and data format of the selected equipment, calculates the data transmission rate and data transmission delay, designs and implements a data encryption scheme, configures communication access control and security measures, and conducts an encryption strength evaluation, conducts communication deployment, formulates a fault handling mechanism, monitors the link quality, data traffic, and fault status in real time, issues communication warnings in a timely manner, conducts drills based on different emergency scenarios after the deployment is completed, tests the effectiveness of the communication system and the response ability of personnel, collects drill data, analyzes and identifies the improvement space for emergency communication deployment, encrypts the data during the emergency communication transmission process to prevent unauthorized access and data leakage, constructs a real-time monitoring platform, tracks and analyzes the communication status, discovers and processes communication faults in a timely manner, and improves the communication reliability in emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0045] Aiming at the problem that most current emergency communications lack effective data encryption and security measures during data transmission, resulting in unauthorized access and data leakage of data, thereby reducing the communication reliability in emergency situations, a centralized control center emergency communication deployment method is proposed. Please refer to Figure 1 , and the method includes the following steps:

[0046] S1. Collect and analyze historical emergency event data, including natural disaster events and human hazard events, to analyze the information transmission content and its priority under different types of emergency events, calculate the mean time between failures, mean time to repair, and equipment availability percentage of equipment, and evaluate the existing communication facilities and their performance;

[0047] The calculation formula for information priority is as follows:

[0048] Zhyx = Jdpf * 0.4 + Xxzy * 0.3 + Syxs * 0.2 + Sxpf * 0.1

[0049] In emergency communication, calculating information priority can ensure that the most important and urgent information is transmitted first when a disaster occurs. This process usually involves classifying and sorting information so that, in the case of limited resources, the efficiency and effectiveness of information transmission can be optimized. In the formula, Zhyx represents information priority, Jdpf represents the score of information urgency, Xxzy represents the score of information importance, Syxs represents the score of the number of affected people, and Sxpf represents the score of information timeliness. The above scores are obtained through statistical analysis. By clarifying the priority, it can be ensured that rescue teams, emergency management agencies, and the public can quickly obtain key intelligence, such as the real-time situation in the disaster area, the needs of trapped people, and the allocation of rescue resources. This method can also reduce information overload and avoid chaos and misunderstandings caused by excessive information in emergency situations, thereby improving the efficiency and accuracy of the overall emergency response.

[0050] The calculation formula for the mean time between failures (MTBF) of the equipment is as follows:

[0051]

[0052] Calculating the mean time between failures of the equipment can provide an important indicator for the reliability of the emergency communication system. This value reflects the average working time of the equipment in the normal operating state and can help managers evaluate the reliability and stability of the equipment. In the formula, Pgsz represents the mean time between failures, Zxsj represents the total time of the equipment in the normal working state, which is obtained through the operation log of the equipment, and Gzcs represents the number of equipment failures, which is obtained through the fault handling log. By understanding the mean time between failures of the equipment, it can be identified which equipment may fail in an emergency, so that measures can be taken in advance for maintenance or replacement. At the same time, it can also provide a basis for future procurement and investment decisions to ensure that the selected equipment can meet the high reliability requirements of emergency communication.

[0053] The formula for calculating the mean time to repair (MTTR) of the equipment is as follows:

[0054]

[0055] The mean time to repair of equipment is an important indicator for evaluating the recovery ability of emergency communication systems. By monitoring and analyzing the mean time to repair of equipment, managers can identify bottlenecks in the repair process, optimize the maintenance process, and improve the efficiency of fault handling. In the formula, Xfsj represents the mean time to repair of equipment, Xpdz represents the total time required for the equipment to be repaired from the occurrence of a fault to the completion of repair, and Gzcs represents the number of equipment faults. The above values are obtained from the fault handling log. Monitoring the mean time to repair of equipment can also help formulate more effective emergency response plans, ensure that backup resources can be quickly mobilized in case of equipment failure, and reduce the impact of service interruption on emergency response;

[0056] The calculation formula for the equipment availability percentage is as follows:

[0057]

[0058] The equipment availability percentage is an important indicator for measuring the available state of communication equipment within a specific time, and is used to help organizations evaluate the overall performance and reliability of their communication systems. High availability means that the equipment can provide services in a timely manner in case of an emergency, thus ensuring the smooth transmission of information. In the formula, Kybf represents the equipment availability percentage, Pgsz represents the mean time between failures, and Xfsj represents the mean time to repair of equipment. Understanding the availability of equipment can also help make more informed decisions in resource allocation, ensuring that the most important equipment and systems can remain operational at critical moments;

[0059] S2. Develop a diversified communication link design plan, including wired, wireless, and satellite communication methods, to meet the needs of different emergency scenarios. Add link redundancy to the design and calculate the number of redundant links and the maximum bandwidth required during peak periods;

[0060] The formula for calculating the number of redundant links is as follows:

[0061]

[0062] Calculating the number of redundant links is to ensure that the system can still operate normally when the main communication path fails. The redundant links provide alternative communication paths and can be quickly switched when the main link fails, avoiding the interruption of information transmission. In the formula, Rysl represents the number of redundant links, Sxky represents the availability percentage required for the service, which is determined by the service level agreement SLA, and Llsz represents the number of links, which is obtained from the network architecture document. By evaluating the number of redundant links, the network architecture can be optimized to ensure the integrity and reliability of communication in various emergency situations. A reasonable redundant design can also improve the load balancing ability of the system, avoid performance degradation caused by the overload of a single link, and thus improve the overall efficiency of emergency response;

[0063] The formula for calculating the maximum bandwidth required during peak periods is as follows:

[0064] Zddk = Yhrs * Pjkx

[0065] In emergency situations, especially during the post-disaster recovery phase, communication requirements usually increase sharply. Calculating the maximum bandwidth required during peak periods can help organizations pre-evaluate their network capabilities and ensure that they can meet the demand for large-volume data transmission at critical moments. In the formula, Zddk represents the maximum bandwidth required during peak periods, Yhrs represents the number of users using the service simultaneously during peak periods, obtained through traffic monitoring tools, and Pjkx represents the average bandwidth demand per user during peak periods, obtained through network traffic analysis. By analyzing historical data and emergency events, managers can identify potential bandwidth bottlenecks and take measures to expand or optimize network resources. This forward-looking planning can effectively avoid network congestion and service interruptions during peak periods, ensuring the smooth transmission of information and supporting emergency response work;

[0066] S3. According to the link design requirements, select the corresponding communication equipment, configure the channels, bandwidth, and data format of the selected equipment, and calculate the data transmission rate and data transmission delay;

[0067] The formula for calculating the data transmission rate is as follows:

[0068]

[0069] The data transmission rate is one of the key factors affecting emergency communication efficiency. By calculating the data transmission rate, organizations can evaluate the performance of their communication systems under different conditions. Understanding the transmission rate can help managers identify potential bottlenecks in the network, optimize network configurations, and ensure the rapid and effective transmission of information in emergency situations. In the formula, Cssl represents the data transmission rate, Xddk represents the channel bandwidth, which is obtained through a spectrum analyzer, Xghl represents the signal power, which is measured through a signal strength meter, and Zsgl represents the noise power, which is obtained through an environmental noise measurement device. Calculating the data transmission rate can also provide a basis for technology upgrades and equipment selection, ensuring that the selected equipment can meet the requirements of efficient data transmission, thereby improving the overall efficiency of emergency response;

[0070] The formula for calculating the data transmission delay is as follows:

[0071] Scyc = Cbyc + Pdyc + Clyc + Lcyc

[0072] Data transmission delay refers to the time required for information to travel from the sender to the receiver, which directly affects the real-time nature of emergency communication. Calculating the data transmission delay can help an organization identify delay factors in the communication link and thus perform targeted optimization. In the formula, Scyc represents the data transmission delay, Cbyc represents the propagation delay, which is calculated by dividing the distance by the propagation speed, Pdyc represents the queuing delay, Clyc represents the processing delay, which is obtained through network monitoring tools, and Lcyc represents the transmission delay, which is calculated by dividing the packet size by the link bandwidth. By reducing the delay, information can reach decision-makers and rescue personnel faster, enhancing the timeliness and effectiveness of emergency response. Understanding the situation of transmission delay can also help in formulating better emergency plans to ensure that information can be transmitted quickly and accurately at critical moments, maximizing rescue efficiency and public safety;

[0073] S4. Design and implement a data encryption scheme, configure communication access control and security measures, and conduct an encryption strength assessment;

[0074] The formula for conducting an encryption strength assessment is as follows:

[0075]

[0076] Emergency communication often involves a large amount of sensitive information, such as rescue plans, disaster area situations, personnel identities and locations, etc. Ensuring the security of this information is crucial. By conducting an encryption strength assessment, it can be determined whether the existing encryption scheme is strong enough to withstand potential attacks and data leaks. Through the assessment, an organization can timely discover weaknesses in the encryption algorithm and select stronger encryption technologies, thereby effectively protecting the confidentiality and integrity of important information. In the formula, Gdsj represents the attack time, k represents the key length, which is determined according to the encryption protocol, Bjsl represents the data attack rate, which is obtained based on the CPU computing power, and 2 represents the binary base. Encryption strength assessment helps identify potential security vulnerabilities and risks in the existing system. For these identified risks, an organization can take targeted remedial measures, such as updating software and hardware, strengthening operation processes, or improving personnel training, to reduce the risk of potential cyberattacks. Through continuous risk management, the centralized control center can respond to emergencies more effectively;

[0077] S5. Conduct communication deployment, formulate a fault handling mechanism, monitor the link quality, data traffic, and fault status in real time, and issue communication warnings in a timely manner;

[0078] When conducting communication deployment, it is crucial to establish an efficient fault handling mechanism. By leveraging artificial intelligence for automated fault detection and diagnosis, analyzing network performance data in real time to identify potential problems, using the network performance monitoring system SolarWinds to comprehensively monitor link quality, including latency, bandwidth utilization, and packet loss rate, introducing deep packet inspection (DPI) technology to analyze data streams in detail to identify abnormal traffic, implementing traffic analysis tools such as Wireshark and dynamic bandwidth allocation technology to automatically adjust network resources based on real-time data and optimize bandwidth usage, to improve the efficiency of fault response, an intelligent notification system is established. When a link fault or performance degradation is detected, alarms are sent in a timely manner through multiple channels such as email and text messages. At the same time, a visual monitoring dashboard is constructed to centrally display the network status, facilitating the technical team to quickly understand the overall situation. Finally, by setting up a rule-based early warning system, faults can be predicted and early warnings can be issued in advance;

[0079] S6. After the deployment is completed, conduct drills based on different emergency scenarios to test the effectiveness of the communication system and the response capabilities of personnel, and collect drill data to analyze and identify areas for improvement in the emergency communication deployment;

[0080] After the completion of the communication system deployment, conducting drills based on different emergency scenarios is a key step to ensure the effectiveness of the system and the response capabilities of personnel. During this process, a simulation drill platform and virtual reality technology can be used to create various real-life scenario drills to help participants familiarize themselves with system operations and emergency procedures in advance. In the drills, network monitoring tools are used to track system performance and communication quality in real time, such as latency, packet loss rate, and bandwidth utilization, so as to test the load capacity and recovery speed of the system under different scenarios. At the same time, the system will automatically record drill data, including the response time, operation accuracy, and overall collaboration efficiency of each participant. After the drill, the collected data is analyzed, and data mining and statistical analysis tools are used to identify the performance differences of the system under different emergency scenarios and discover potential areas for improvement. These analysis results will provide a strong basis for subsequent training and system optimization to ensure that the emergency communication system can respond quickly and efficiently to various emergencies in future practical applications.

[0081] By applying the above methods, the data during the emergency communication transmission process is encrypted to prevent unauthorized access and data leakage, a real-time monitoring platform is constructed to track and analyze the communication status, communication faults are discovered and processed in a timely manner, and the communication reliability in emergency situations is improved.

[0082] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for deploying emergency communications in a centralized control center, characterized in that: The following steps are involved: S1. Collect and analyze historical emergency event data, including natural disasters and man-made hazards, to analyze the content and priority of information transmission under different types of emergency events, calculate the mean time between failures of equipment, the mean time to repair equipment, and the percentage of equipment availability, and evaluate existing communication facilities and their performance; S2. Develop a diversified communication link design plan, including wired, wireless and satellite communication methods, to meet the needs of different emergency scenarios, add link redundancy to the design, and calculate the number of redundant links and the maximum bandwidth required during peak hours; S3. According to the link design requirements, select the corresponding communication equipment, configure the channel, bandwidth and data format of the selected equipment, and calculate the data transmission rate and data transmission delay; S4. Design and implement data encryption schemes, configure communication access control and security measures, and perform encryption strength assessments; S5. Carry out communication deployment, formulate fault handling mechanism, monitor link quality, data flow and fault status in real time, and issue communication warning in time; S6. After deployment, conduct drills based on different emergency scenarios to test the effectiveness of the communication system and the response capabilities of personnel, collect drill data, analyze and identify areas for improvement in emergency communication deployment.

2. A method for deploying emergency communications in a centralized control center according to claim 1, characterized in that: The formula for calculating information priority in S1 is as follows: Zhyx=Jdpf*0.4+Xxzy*0.3+Syxs*0.2+Sxpf*0.1 In the formula, Zhyx represents the information priority, Jdpf represents the information urgency score, Xxzy represents the information importance score, Syxs represents the number of affected people score, and Sxpf represents the information timeliness score. The above scores are obtained through statistical analysis.

3. A method for deploying emergency communications in a centralized control center according to claim 2, characterized in that: The formula for calculating the mean time between failures of the S1 equipment is as follows: In the formula, Pgsz represents the mean time between failures, Zxsj represents the total time that the device is in normal working condition, which is obtained from the device operation log, and Gzcs represents the number of device failures, which is obtained from the fault handling log.

4. A method for deploying emergency communications in a centralized control center according to claim 3, characterized in that: The formula for calculating the mean repair time of the S1 equipment is as follows: In the formula, Xfsj represents the average repair time of the equipment, Xpdz represents the total time required for the equipment to be repaired from the occurrence of a fault, and Gzcs represents the number of equipment failures. The above values ​​are obtained from the fault handling log.

5. A method for deploying emergency communications in a centralized control center according to claim 4, characterized in that: The formula for calculating the S1 equipment availability percentage is as follows: In the formula, Kybf represents the equipment availability percentage, Pgsz represents the mean time between failures, and Xfsj represents the mean repair time of the equipment.

6. A method for deploying emergency communications in a centralized control center according to claim 5, characterized in that: The formula for calculating the number of redundant links in S2 is as follows: In the formula, Rysl represents the number of redundant links, Skky represents the availability percentage required for the service, which is determined by the service level agreement SLA, and Llsz represents the number of links, which is obtained from the network architecture document.

7. A method for deploying emergency communications in a centralized control center according to claim 6, characterized in that: The formula for calculating the maximum bandwidth required during peak hours in S2 is as follows: Zddk=Yhrs*Pjkx In the formula, Zddk represents the maximum bandwidth required during the peak period, Yhrs represents the number of users who use the service simultaneously during the peak period, which is obtained through traffic monitoring tools, and Pjkx represents the average bandwidth demand of each user during the peak period, which is obtained through network traffic analysis.

8. A method for deploying emergency communications in a centralized control center according to claim 7, characterized in that: The formula for calculating the data transmission rate of S3 is as follows: In the formula, Cssl represents the data transmission rate, Xddk represents the channel bandwidth, which is obtained by a spectrum analyzer, Xghl represents the signal power, which is obtained by measuring with a signal strength meter, and Zsgl represents the noise power, which is obtained by an environmental noise measurement device.

9. A method for deploying emergency communications in a centralized control center according to claim 8, characterized in that: The formula for calculating the data transmission delay in S3 is as follows: Scyc=Cbyc+Pdyc+Clyc+Lcyc In the formula, Scyc represents data transmission delay, Cbyc represents propagation delay, which is calculated by dividing distance by propagation speed, Pdyc represents queuing delay, Clyc represents processing delay, which is obtained through network monitoring tools, and Lcyc represents transmission delay, which is calculated by dividing data packet size by link bandwidth.

10. A method for deploying emergency communications in a centralized control center according to claim 9, characterized in that: The formula for evaluating data encryption strength by S4 is as follows: In the formula, Gdsj represents the attack time, k represents the key length, which is determined by the encryption protocol, Bjsl represents the data attack rate, which is obtained based on the CPU computing power, and 2 represents the binary base.

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