Communication equipment remote automatic deployment and configuration method and system

Abstract

The invention relates to the technical field of communication equipment management, and discloses a remote automatic deployment and configuration method and system for communication equipment, and the method comprises the steps: obtaining the signal coverage distance of the communication equipment in a deployable region through a communication database, and carrying out the analysis and calculation through combining the interference intensity index of the deployable region, thereby obtaining the optimal deployment position of the communication equipment; by constructing the three-dimensional digital twinborn model and collecting the electromagnetic spectrum data, accurate identification and positioning of the interference source are realized, and then the optimal deployment position is obtained through automatic calculation, so that the workload of manual investigation is greatly reduced, the accuracy and rationality of the deployment position are improved, and the deployment efficiency is improved. By collecting the operation data of the communication equipment and calculating the deployment effect index, the system can automatically evaluate the deployment effect, and triggers the re-optimization process when the expected target is not reached, thereby ensuring that the actual operation state of the deployed communication equipment is highly matched with the expected target.

Description

Technical Field

[0001] This invention relates to the field of communication equipment management technology, and in particular to a method and system for remote automated deployment and configuration of communication equipment. Background Technology

[0002] With the rapid development of wireless communication technology, wireless communication equipment has been widely used in industrial control, smart security, the Internet of Things and other fields. However, wireless communication equipment itself has weak anti-interference capabilities. In the actual installation and deployment process, various interference sources in the deployment area (such as other communication equipment, electrical equipment, electromagnetic radiation sources, etc.) will seriously affect the communication quality of the equipment, leading to signal attenuation, increased bit error rate, and even communication interruption.

[0003] However, the deployment of traditional communication equipment often relies on on-site manual surveys to determine the installation location. After deployment, parameters are configured through on-site operations. This not only consumes a lot of manpower and resources and has low deployment and configuration efficiency, but also makes it difficult for manual surveys to accurately quantify the impact of interference sources, resulting in insufficient rationality of deployment locations and inability to effectively avoid interference.

[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to address the problem that the deployment of traditional communication equipment often relies on on-site manual surveys to determine the installation location, followed by on-site parameter configuration after deployment. This not only consumes a lot of manpower and resources and has low deployment and configuration efficiency, but also makes it difficult for manual surveys to accurately quantify the impact of interference sources, resulting in insufficient rationality of deployment locations and inability to effectively avoid interference.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for remote automated deployment and configuration of communication equipment, comprising the following steps: Step 1: Obtain geographic information data of the area to be deployed, construct a three-dimensional digital twin model of the area to be deployed, and collect electromagnetic spectrum data of the deployment area through spectrum scanning equipment to identify the type and location of interference sources; Step 2: Obtain communication interference data of the area to be deployed through the communication database, analyze and calculate it to obtain the interference intensity index of the area to be deployed, and divide the area to be deployed into deployable area and non-deployable area; Step 3: Obtain the signal coverage distance of the deployable communication equipment in the communication database, and combine it with the interference intensity index of the deployable area to perform analysis and calculation to determine the optimal deployment location of the communication equipment; Step 4: Based on the optimal deployment location and its surrounding environmental characteristics, generate the transmit power configuration parameters for the wireless communication device, and send the deployment instructions to the target device through a remote communication network; Step 5: After the wireless communication equipment is deployed, collect the operating data of the communication equipment, analyze and calculate it to obtain the deployment effect index of the communication equipment.

[0007] Furthermore, the geographic information data includes terrain data, building distribution data, and existing facility data. The types of interference sources include natural interference sources and man-made interference sources. Each interference source is marked, and its spatial location coordinates and transmission power are labeled on the three-dimensional digital twin model of the area to be deployed.

[0008] Furthermore, the calculation process for the interference intensity index of the area to be deployed is as follows: S11. Obtain and analyze communication interference data of the area to be deployed. The communication interference data includes the transmission power of the interference source, the location of the interference source, and the penetration loss data of the interference source. S12. Calculate the interference intensity index of the area to be deployed using the following formula: in, Let P be the interference intensity index. This represents the total number of interference sources. Let be the transmission power of the i-th interference source. For the i-th interference source in the direction Antenna gain on Let be the spectral occupancy factor of the i-th interference source. This is the path loss index. Let be the spatial distance from the i-th interference source to location point P. Let be the penetration loss from the i-th interference source to location point P. The interference intensity index of the area to be deployed is used to reflect the total intensity of the electromagnetic interference signals generated by all interference sources at location point P.

[0009] Furthermore, the process of dividing the area to be deployed is as follows: S21. Obtain the preset interference intensity threshold. The interference intensity index at location point P Comparative analysis, when At that time, the location point P is divided into a deployable area; S22, when At that time, location point P is designated as a non-deployment area.

[0010] Furthermore, the analysis and calculation process for the optimal deployment location of communication equipment is as follows: S31. Obtain the signal coverage distance of the deployable area communication equipment, and perform analysis and calculation based on the interference intensity index of the deployable area; S32. With the optimization objectives of minimizing interference field strength and maximizing signal coverage, solve for the optimal deployment location of wireless communication equipment, and establish the objective function based on the following formula: in, A collection of deployable regions. Let P be the interference intensity index. The maximum interference field strength within the deployable area set. This is the preset minimum coverage distance requirement. This refers to the signal coverage distance when deployed at location P. The preset interference weight coefficient, The preset signal coverage weighting coefficient; S33. The particle swarm optimization algorithm is used to solve the objective function to obtain the optimal deployment position.

[0011] Furthermore, the process of generating the transmit power configuration parameters for wireless communication devices is as follows: S41. Calculate the distance to the nearest interference source and the average distance to all interference sources based on the optimal deployment location; S42. Adjust the base transmission power according to the environmental correction factor of the deployment location; S43. The transmission power is calculated using a weighted formula, and this value must not exceed the maximum transmission power supported by the device. S44. The data is transmitted to the deployment terminal via 5G industrial IoT. After receiving the instruction, the deployment terminal automatically moves to the optimal deployment position to complete the automated installation and fixation of the communication equipment. It also establishes a wireless communication connection with the communication equipment through the remote control center and dynamically pushes the appropriate transmission power configuration parameters.

[0012] Furthermore, the calculation process for the deployment effectiveness index of communication equipment is as follows: S51. Obtain the operating data of the communication device and perform analysis. The operating data includes the signal-to-noise ratio, bit error rate, and throughput data of the wireless communication device after deployment. S52. Calculate the deployment effectiveness index of communication equipment according to the following formula. : in, This represents the actual signal-to-noise ratio after the wireless communication equipment has been deployed. The target value for the preset signal-to-noise ratio. This represents the actual bit error rate after the wireless communication equipment has been deployed. The target value for the preset bit error rate, This represents the actual throughput after the wireless communication equipment is deployed. The target throughput value is preset. The preset signal-to-noise ratio weighting coefficients, The preset bit error rate weighting coefficient, The communication equipment deployment effect index is a quantitative indicator that reflects the degree of matching between the actual operating status of the communication equipment after deployment and the expected target, with the preset throughput weighting coefficient. S53. Obtain the preset deployment effect threshold. The deployment effectiveness index of communication equipment Comparative analysis, when If the signal-to-noise ratio is high enough, the bit error rate is low enough, and the data transmission rate meets the service requirements, then the wireless communication equipment has been successfully deployed. S54, when If this occurs, it indicates that at least one key indicator in the actual operation of the equipment has not met the preset target, the deployment of the wireless communication equipment has not achieved the expected results, and the process needs to be re-optimized.

[0013] The present invention also provides a remote automated deployment and configuration system for communication equipment, including an interference identification unit, an area division unit, a location deployment unit, an equipment configuration unit, and an effect verification unit; The interference identification unit includes a regional model construction module and a spectrum identification module. The regional model construction module is used to acquire geographic information data of the area to be deployed and construct a three-dimensional digital twin model of the area to be deployed. The spectrum identification module is used to collect electromagnetic spectrum data of the deployment area through a spectrum scanning device and identify the type and location of interference sources. The area division unit is used to obtain communication interference data of the area to be deployed through the communication database, perform analysis and calculation, obtain the interference intensity index of the area to be deployed, and divide the area to be deployed into deployable area and non-deployable area; The location deployment unit is used to obtain the signal coverage distance of the communication equipment in the deployable area through the communication database, and to analyze and calculate the optimal deployment location of the communication equipment by combining the interference intensity index of the deployable area. The device configuration unit is used to generate transmit power configuration parameters for wireless communication devices based on the optimal deployment location and its surrounding environmental characteristics, and to send deployment instructions to the target device through a remote communication network; The effect verification unit is used to collect the operating data of the wireless communication equipment after its deployment is completed, analyze and calculate the deployment effect index of the communication equipment.

[0014] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This method and system for remote automated deployment and configuration of communication equipment achieves precise identification and location of interference sources by constructing a three-dimensional digital twin model and collecting electromagnetic spectrum data. It then automatically calculates the optimal deployment location, significantly reducing the workload of manual surveys and improving the accuracy and rationality of deployment locations, effectively mitigating the impact of interference sources on communication quality. Secondly, the system can dynamically generate and remotely push suitable transmit power configuration parameters based on the optimal deployment location and its surrounding environmental characteristics, achieving remote automated configuration of the communication equipment and greatly improving deployment efficiency. Finally, by collecting operational data of the communication equipment and calculating a deployment effectiveness index, the system can automatically evaluate the deployment effect and trigger a re-optimization process when the expected goals are not met. This ensures a high degree of matching between the actual operating status of the communication equipment after deployment and the expected goals, further improving communication quality and stability. Attached Figure Description

[0015] Figure 1 A schematic diagram of the method flow of the present invention is shown; Figure 2 A schematic diagram of the system flow of the present invention is shown. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] like Figure 1 As shown, the remote automated deployment and configuration method for communication equipment firstly acquires the geographic information data of the area to be deployed, constructs a three-dimensional digital twin model of the area to be deployed, and collects electromagnetic spectrum data of the deployment area through a spectrum scanning device to identify the type and location of interference sources. Geographic information data includes terrain data, building distribution data, and existing facility data. Interference sources include natural and man-made sources. Each interference source is marked, and its spatial coordinates and transmission power are annotated on a 3D digital twin model of the area to be deployed. It should be noted that natural interference sources refer to electromagnetic interference sources that exist in nature and are not man-made, mainly including: 1. Atmospheric interference. Lightning discharge: Lightning generates a strong electromagnetic pulse with a wide frequency coverage, which can cause serious interference to wireless communications; electrostatic discharge: Electrostatic discharge caused by the accumulation of charge in the atmosphere, especially noticeable in dry environments; thunderstorm electromagnetic radiation: Continuous electromagnetic radiation generated by thunderstorm activity. 2. Meteorological interference Precipitation attenuation: the scattering and absorption of radio waves by rain, snow, fog, hail, etc.; Atmospheric refraction: the refraction of radio waves caused by uneven atmospheric density; Atmospheric turbulence: the scattering of electromagnetic waves caused by uneven distribution of atmospheric temperature and humidity.

[0018] Man-made interference sources refer to electromagnetic interference sources generated by human activities, mainly including: 1. Industrial interference High-voltage transmission lines: power frequency electromagnetic fields and corona discharge generated by high-voltage lines; power transformers: electromagnetic leakage and harmonic interference generated during transformer operation; industrial electrical equipment: electromagnetic radiation generated by large motors, frequency converters, welding machines, etc.; power electronic equipment: high-frequency harmonics generated by switching power supplies such as rectifiers and inverters. 2. Communication system interference Co-channel / adjacent-channel base stations: Co-channel or adjacent-channel interference from other operators or other base stations on the same network; Microwave communication links: Directional beam interference from ground microwave relay stations; Satellite communication ground stations: High-power uplink signals from satellite earth stations; Amateur radio: Transmitted signals from amateur radio operators. 3. Interference from electronic devices Broadcast and television transmission towers: high-power electromagnetic radiation from television and radio transmitters; Radar systems: high-power pulse signals from military and civilian radar stations; Wi-Fi networks: interference from densely deployed Wi-Fi access points in the 2.4GHz / 5GHz band; Bluetooth devices: mutual interference from numerous Bluetooth devices in the 2.4GHz ISM band. 4. Interference from household electrical appliances Microwave ovens: high power leakage in the 2.45GHz band; wireless charging devices: electromagnetic fields generated by wireless chargers; smart home devices: dense deployment of various IoT wireless devices.

[0019] Then, by using the communication database, communication interference data of the area to be deployed is obtained, analyzed and calculated to obtain the interference intensity index of the area to be deployed, and the area to be deployed is divided into deployable area and non-deployable area; The calculation process for the interference intensity index of the area to be deployed is as follows: S11. Obtain and analyze communication interference data of the area to be deployed. The communication interference data includes the transmission power of the interference source, the location of the interference source, and the penetration loss data of the interference source. S12. Calculate the interference intensity index of the area to be deployed using the following formula: in, Let P be the interference intensity index. This represents the total number of interference sources. Let be the transmission power of the i-th interference source. For the i-th interference source in the direction Antenna gain on Let be the spectral occupancy factor of the i-th interference source. The path loss index is a physical parameter that describes how the signal strength of an electromagnetic wave attenuates with distance during propagation. Its value is closely related to the complexity of the propagation environment. The path loss index typically ranges from 2.0 to 4.0. The following scenarios are considered: Free space environment: No obstacles between transmitting and receiving antennas (path loss index = 2.0); Suburban / rural environment: Sparse buildings with low height (path loss index = 2.2 ~ 2.5); Suburban urban environment: Moderate building density and height (path loss index = 2.6 ~ 3.0); Ordinary urban environment: High building density and irregular distribution (path loss index = 3.0 ~ 3.3); Dense urban area environment: High-rise buildings and narrow streets (path loss index = 3.3 ~ 3.7); Indoor environment: Obstacles such as walls, floors, and furniture exist (path loss index = 1.8 ~ 3.5). Let be the spatial distance from the i-th interference source to location point P. The penetration loss from the i-th interference source to location point P is determined by the building obstruction, specifically by a rapid estimation based on the main type of the buildings being penetrated. When penetrating a wooden structure, the penetration loss per building is approximately 2 to 4 dB; when penetrating a brick-concrete structure, the penetration loss per building is approximately 5 to 8 dB; when penetrating a reinforced concrete structure, the penetration loss per building is approximately 10 to 15 dB; when penetrating a glass curtain wall structure, the penetration loss per building is approximately 1 to 3 dB; and when penetrating a metal sheet structure, the penetration loss per building is approximately 20 to 30 dB. The total penetration loss is obtained by summing the penetration losses of all buildings along the ray path. The interference intensity index of the deployment area reflects the total intensity of the electromagnetic interference signal generated by all interference sources at location point P. The larger the interference intensity index, the stronger the total intensity of the electromagnetic interference signal generated by all interference sources at location point P; the smaller the interference intensity index, the weaker the total intensity of the electromagnetic interference signal generated by all interference sources at location point P.

[0020] The process of dividing the area to be deployed is as follows: S21. Obtain the preset interference intensity threshold. The interference intensity index at location point P Comparative analysis, when When the location point P is divided into a deployable area, the total strength of the electromagnetic interference signals generated by all interference sources is weak at location point P, and wireless communication equipment can be deployed in this area. S22, when At this point, location point P is designated as a non-deployment area. At location point P, the total intensity of electromagnetic interference signals generated by all interference sources is high, and wireless communication equipment cannot be deployed in this area.

[0021] Then, by using the communication database, the signal coverage distance of the communication equipment in the deployable area is obtained, and combined with the interference intensity index of the deployable area, analysis and calculation are performed to determine the optimal deployment location of the communication equipment. The analysis and calculation process for the optimal deployment location of communication equipment is as follows: S31. Obtain the signal coverage distance of the deployable area communication equipment, and perform analysis and calculation based on the interference intensity index of the deployable area; S32. With the optimization objectives of minimizing interference field strength and maximizing signal coverage, solve for the optimal deployment location of wireless communication equipment, and establish the objective function based on the following formula: in, A collection of deployable regions. Let P be the interference intensity index. The maximum interference field strength within the deployable area set. This is the preset minimum coverage distance requirement. This refers to the signal coverage distance when deployed at location P. The preset interference weight coefficient, The preset signal coverage weighting coefficient; S33. The particle swarm optimization algorithm is used to solve the objective function to obtain the optimal deployment position.

[0022] Then, based on the optimal deployment location and its surrounding environmental characteristics, the transmit power configuration parameters of the wireless communication device are generated, and the deployment instructions are sent to the target device through a remote communication network; The process of generating the transmit power configuration parameters for wireless communication devices is as follows: The transmit power is generated based on the inverse mapping principle between interference distance and power. That is, the closer to the interference source, the more the transmit power needs to be increased to counteract the interference, but it must be controlled within the maximum power range allowed by regulations.

[0023] S41. Calculate the distance to the nearest interference source and the average distance to all interference sources based on the optimal deployment location; S42. Adjust the base transmission power according to the environmental correction factor of the deployment location (determined by the building obstruction density, with a value close to 1.0 in open areas and a smaller value in severely obstructed areas); S43. The transmission power is calculated using a weighted formula, and this value cannot exceed the maximum transmission power supported by the device. This generation method ensures that the device can maintain communication quality with sufficient power in areas with strong interference, while avoiding unnecessary power waste in areas with weak interference.

[0024] S44. The data is transmitted to the deployment terminal (such as an automated installation robot) via 5G industrial IoT. After receiving the instruction, the deployment terminal automatically moves to the optimal deployment position to complete the automated installation and fixation of the communication equipment. It also establishes a wireless communication connection with the communication equipment through the remote control center and dynamically pushes the appropriate transmission power configuration parameters to achieve remote automated configuration of the communication equipment parameters without the need for on-site manual debugging.

[0025] Finally, after the wireless communication equipment is deployed, the operating data of the communication equipment is collected, analyzed, and the deployment effect index of the communication equipment is obtained. The calculation process for the deployment effectiveness index of communication equipment is as follows: S51. Obtain the operating data of the communication device and perform analysis. The operating data includes the signal-to-noise ratio, bit error rate, and throughput data of the wireless communication device after deployment. S52. Calculate the deployment effectiveness index of communication equipment according to the following formula. : in, This represents the actual signal-to-noise ratio after the wireless communication equipment has been deployed. The target value for the preset signal-to-noise ratio. This represents the actual bit error rate after the wireless communication equipment has been deployed. The target value for the preset bit error rate, This represents the actual throughput after the wireless communication equipment is deployed. The target throughput value is preset. The preset signal-to-noise ratio weighting coefficients, The preset bit error rate weighting coefficient, The deployment effect index of communication equipment is a quantitative indicator that reflects the degree of matching between the actual operating status of the communication equipment after deployment and the expected goal, with the throughput weight coefficient as preset. The larger the value of the deployment effect index, the higher the degree of matching between the actual operating status of the communication equipment after deployment and the expected goal, and the better the deployment effect; the smaller the value of the deployment effect index, the lower the degree of matching between the actual operating status of the communication equipment after deployment and the expected goal, and the worse the deployment effect. S53. Obtain the preset deployment effect threshold. The deployment effectiveness index of communication equipment Comparative analysis, when If the signal-to-noise ratio is high enough, the bit error rate is low enough, and the data transmission rate meets the service requirements, then the wireless communication equipment has been successfully deployed and can be put into normal operation. S54, when If the signal-to-noise ratio is too low, resulting in poor signal quality; the bit error rate is too high, leading to unreliable data transmission; or the throughput is insufficient to meet business needs. The deployment of the wireless communication equipment has not achieved the expected results and requires a re-optimization process.

[0026] This invention achieves precise identification and location of interference sources by constructing a three-dimensional digital twin model and collecting electromagnetic spectrum data. It then automatically calculates the optimal deployment location, significantly reducing the workload of manual surveys and improving the accuracy and rationality of deployment locations, effectively mitigating the impact of interference sources on communication quality. Secondly, the system can dynamically generate and remotely push suitable transmit power configuration parameters based on the optimal deployment location and its surrounding environmental characteristics, enabling remote automated configuration of communication equipment and greatly improving deployment efficiency. Finally, by collecting operational data from the communication equipment and calculating a deployment effectiveness index, the system can automatically evaluate the deployment effect and trigger a re-optimization process when the expected goals are not met. This ensures a high degree of matching between the actual operating status of the deployed communication equipment and the expected goals, further improving communication quality and stability.

[0027] Example 2: like Figure 2 As shown, the remote automated deployment and configuration system for communication equipment is applied to the remote automated deployment and configuration method for communication equipment, including an interference identification unit, an area division unit, a location deployment unit, an equipment configuration unit, and an effect verification unit. The interference identification unit includes a regional model construction module and a spectrum identification module. The regional model construction module is used to acquire geographic information data of the area to be deployed and construct a three-dimensional digital twin model of the area to be deployed. The spectrum identification module is used to collect electromagnetic spectrum data of the deployment area through a spectrum scanning device and identify the type and location of interference sources. The area division unit is used to obtain communication interference data of the area to be deployed through the communication database, perform analysis and calculation, obtain the interference intensity index of the area to be deployed, and divide the area to be deployed into deployable area and non-deployable area; The location deployment unit is used to obtain the signal coverage distance of the communication equipment in the deployable area through the communication database, and to analyze and calculate the optimal deployment location of the communication equipment by combining the interference intensity index of the deployable area. The device configuration unit is used to generate transmit power configuration parameters for wireless communication devices based on the optimal deployment location and its surrounding environmental characteristics, and to send deployment instructions to the target device through a remote communication network; The effect verification unit is used to collect the operating data of the wireless communication equipment after its deployment is completed, analyze and calculate the deployment effect index of the communication equipment.

[0028] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.

[0029] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for remote automated deployment and configuration of communication equipment, characterized in that, Includes the following steps: Step 1: Obtain geographic information data of the area to be deployed, construct a three-dimensional digital twin model of the area to be deployed, and collect electromagnetic spectrum data of the deployment area through spectrum scanning equipment to identify the type and location of interference sources; Step 2: Obtain communication interference data of the area to be deployed through the communication database, analyze and calculate it to obtain the interference intensity index of the area to be deployed, and divide the area to be deployed into deployable area and non-deployable area; Step 3: Obtain the signal coverage distance of the deployable communication equipment in the communication database, and combine it with the interference intensity index of the deployable area to perform analysis and calculation to determine the optimal deployment location of the communication equipment; Step 4: Based on the optimal deployment location and its surrounding environmental characteristics, generate the transmit power configuration parameters for the wireless communication device, and send the deployment instructions to the target device through a remote communication network; Step 5: After the wireless communication equipment is deployed, collect the operating data of the communication equipment, analyze and calculate it to obtain the deployment effect index of the communication equipment.

2. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The geographic information data includes terrain data, building distribution data, and existing facility data. The types of interference sources include natural interference sources and man-made interference sources. Each interference source is marked, and its spatial location coordinates and transmission power are labeled on the three-dimensional digital twin model of the area to be deployed.

3. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The calculation process for the interference intensity index of the area to be deployed is as follows: S11. Obtain and analyze communication interference data of the area to be deployed. The communication interference data includes the transmission power of the interference source, the location of the interference source, and the penetration loss data of the interference source. S12. Calculate the interference intensity index of the area to be deployed using the following formula: in, Let P be the interference intensity index. This represents the total number of interference sources. Let be the transmission power of the i-th interference source. For the i-th interference source in the direction Antenna gain on Let be the spectral occupancy factor of the i-th interference source. This is the path loss index. Let be the spatial distance from the i-th interference source to location point P. Let be the penetration loss from the i-th interference source to location point P. The interference intensity index of the area to be deployed is used to reflect the total intensity of the electromagnetic interference signals generated by all interference sources at location point P.

4. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The process of dividing the area to be deployed is as follows: S21. Obtain the preset interference intensity threshold. The interference intensity index at location point P Comparative analysis, when At that time, the location point P is divided into a deployable area; S22, when At that time, location point P is designated as a non-deployment area.

5. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The analysis and calculation process for the optimal deployment location of communication equipment is as follows: S31. Obtain the signal coverage distance of the deployable area communication equipment, and perform analysis and calculation based on the interference intensity index of the deployable area; S32. With the optimization objectives of minimizing interference field strength and maximizing signal coverage, solve for the optimal deployment location of wireless communication equipment, and establish the objective function based on the following formula: in, A collection of deployable regions. Let P be the interference intensity index. The maximum interference field strength within the deployable area set. This is the preset minimum coverage distance requirement. This refers to the signal coverage distance when deployed at location P. The preset interference weight coefficient, The preset signal coverage weighting coefficient; S33. The particle swarm optimization algorithm is used to solve the objective function to obtain the optimal deployment position.

6. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The process of generating transmit power configuration parameters for wireless communication devices is as follows: S41. Calculate the distance to the nearest interference source and the average distance to all interference sources based on the optimal deployment location; S42. Adjust the base transmission power according to the environmental correction factor of the deployment location; S43. The transmission power is calculated using a weighted formula, and this value must not exceed the maximum transmission power supported by the device. S44. The data is transmitted to the deployment terminal via 5G industrial IoT. After receiving the instruction, the deployment terminal automatically moves to the optimal deployment position to complete the automated installation and fixation of the communication equipment. It also establishes a wireless communication connection with the communication equipment through the remote control center and dynamically pushes the appropriate transmission power configuration parameters.

7. The method for remote automated deployment and configuration of communication equipment according to claim 1, characterized in that, The calculation process for the deployment effectiveness index of communication equipment is as follows: S51. Obtain the operating data of the communication device and perform analysis. The operating data includes the signal-to-noise ratio, bit error rate, and throughput data of the wireless communication device after deployment. S52. Calculate the deployment effectiveness index of communication equipment according to the following formula. : in, This represents the actual signal-to-noise ratio after the wireless communication equipment has been deployed. The target value for the preset signal-to-noise ratio. This represents the actual bit error rate after the wireless communication equipment has been deployed. The target value for the preset bit error rate, This represents the actual throughput after the wireless communication equipment is deployed. The target throughput value is preset. The preset signal-to-noise ratio weighting coefficients, The preset bit error rate weighting coefficient, The communication equipment deployment effect index is a quantitative indicator that reflects the degree of matching between the actual operating status of the communication equipment after deployment and the expected target, with the preset throughput weighting coefficient. S53. Obtain the preset deployment effect threshold. The deployment effectiveness index of communication equipment Comparative analysis, when If the signal-to-noise ratio is high enough, the bit error rate is low enough, and the data transmission rate meets the service requirements, then the wireless communication equipment has been successfully deployed. S54, when If this occurs, it indicates that at least one key indicator in the actual operation of the equipment has not met the preset target, the deployment of the wireless communication equipment has not achieved the expected results, and the process needs to be re-optimized.

8. A remote automated deployment and configuration system for communication equipment, applied to the remote automated deployment and configuration method for communication equipment as described in any one of claims 1-7, characterized in that, It includes an interference identification unit, a region division unit, a location deployment unit, a device configuration unit, and an effect verification unit; The interference identification unit includes a regional model construction module and a spectrum identification module. The regional model construction module is used to acquire geographic information data of the area to be deployed and construct a three-dimensional digital twin model of the area to be deployed. The spectrum identification module is used to collect electromagnetic spectrum data of the deployment area through a spectrum scanning device and identify the type and location of interference sources. The area division unit is used to obtain communication interference data of the area to be deployed through the communication database, perform analysis and calculation, obtain the interference intensity index of the area to be deployed, and divide the area to be deployed into deployable area and non-deployable area; The location deployment unit is used to obtain the signal coverage distance of the communication equipment in the deployable area through the communication database, and to analyze and calculate the optimal deployment location of the communication equipment by combining the interference intensity index of the deployable area. The device configuration unit is used to generate transmit power configuration parameters for wireless communication devices based on the optimal deployment location and its surrounding environmental characteristics, and to send deployment instructions to the target device through a remote communication network; The effect verification unit is used to collect the operating data of the wireless communication equipment after its deployment is completed, analyze and calculate the deployment effect index of the communication equipment.

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