Communication base station direct current load intelligent management method and system and storage medium

Abstract

The invention discloses a communication base station direct current load intelligent management method and system and a storage medium, and relates to the communication field, the system comprises a monitoring module, a data analysis module, an intelligent decision module, an execution module and a user interface module, the monitoring module uses a data acquisition system to monitor the direct current load state of a communication base station in real time; the parameters include current, voltage, power and temperature parameters; the data analysis module processes the collected data through a data analysis algorithm and identifies a load mode and an abnormal state; the intelligent decision-making module automatically generates a load management strategy according to a data analysis result, and the load management strategy comprises load distribution, optimal scheduling and fault prevention; and the execution module automatically adjusts the DC load configuration of the base station according to the instruction of the intelligent decision module, thereby realizing energy efficiency optimization and fault prevention. According to the method, the operation efficiency of the communication base station can be improved, and remarkable economic and social benefits can be brought to operators.

Description

Technical Field

[0001] The present invention relates to the field of communications, and in particular to a method, system and storage medium for intelligent management of direct current loads of a communication base station. Background Art

[0002] With the rapid development of mobile communication technology, the number and scale of communication base stations are constantly expanding, and DC load management has become the key to improving the energy efficiency and reliability of base stations. Existing DC load management methods often rely on manual monitoring and manual adjustment, which is inefficient and difficult to adapt to dynamically changing needs. Summary of the invention

[0003] The purpose of the present invention is to provide a communication base station DC load intelligent management method, system and storage medium to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The intelligent management method of DC load of a communication base station comprises the following steps:

[0006] Use the data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters;

[0007] Process the collected data through data analysis algorithms to identify load patterns and abnormal conditions;

[0008] Based on the data analysis results, the intelligent decision-making module automatically generates load management strategies, including load distribution, optimal scheduling and fault prevention;

[0009] The execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision module to achieve energy efficiency optimization and fault prevention;

[0010] Provides a user interface that enables operators to monitor system status and manually adjust policies.

[0011] As a further solution of the present invention: it includes a monitoring module, a data analysis module, an intelligent decision-making module, an execution module and a user interface module, the monitoring module uses a data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters; the data analysis module processes the collected data through a data analysis algorithm to identify load modes and abnormal conditions; the intelligent decision-making module automatically generates a load management strategy based on the data analysis results, including load distribution, optimized scheduling and fault prevention; the execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision-making module to achieve energy efficiency optimization and fault prevention; the user interface enables the operator to monitor the system status and manually adjust the strategy.

[0012] As a further solution of the present invention: the data acquisition system includes a sensor, a data collector, a communication interface and a power management unit;

[0013] The sensors include current sensors, voltage sensors, temperature sensors and power sensors, which are used to monitor the current, voltage, power and temperature parameters of the DC load in real time;

[0014] The data collector is responsible for collecting data from the sensor array and performing preliminary signal processing, including amplification, filtering, and digital signal processing;

[0015] The communication interface is used to transmit the collected data to the data analysis module;

[0016] The power management unit ensures stable operation of the monitoring module under various power conditions, and includes backup batteries or supercapacitors to cope with sudden power outages.

[0017] As a further solution of the present invention: the data analysis module includes: a data receiving unit, a data storage system, a data processing engine, a machine learning model and an anomaly detection system; the data receiving unit is responsible for receiving the data stream from the monitoring module and performing preliminary data formatting and verification;

[0018] The data storage system is used to store real-time data and historical data, including a memory for fast access and a hard disk for long-term storage;

[0019] The data processing engine includes a series of algorithms and models for cleaning, transforming, aggregating and analyzing data; the machine learning model uses machine learning techniques including neural networks, decision trees or clustering algorithms to identify patterns and trends in data; the anomaly detection system is used to identify anomalies or deviations in data.

[0020] As a further solution of the present invention: a computer program is stored which can be loaded by a processor and execute the processing performed in the system.

[0021] Compared with the prior art, the beneficial effects of the present invention are: the present invention can not only improve the operating efficiency of communication base stations, but also bring significant economic and social benefits to operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Schematic diagram of the intelligent management system for DC loads in communication base stations. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In an embodiment of the present invention, a communication base station DC load intelligent management method includes the following steps:

[0025] Use the data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters;

[0026] Process the collected data through data analysis algorithms to identify load patterns and abnormal conditions;

[0027] Based on the data analysis results, the intelligent decision-making module automatically generates load management strategies, including load distribution, optimal scheduling and fault prevention;

[0028] The execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision-making module to achieve energy efficiency optimization and fault prevention;

[0029] Provides a user interface that enables operators to monitor system status and manually adjust policies.

[0030] As a further solution of the present invention: it includes a monitoring module, a data analysis module, an intelligent decision-making module, an execution module and a user interface module, the monitoring module uses a data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters; the data analysis module processes the collected data through a data analysis algorithm to identify load modes and abnormal conditions; the intelligent decision-making module automatically generates a load management strategy based on the data analysis results, including load distribution, optimized scheduling and fault prevention; the execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision-making module to achieve energy efficiency optimization and fault prevention; the user interface enables the operator to monitor the system status and manually adjust the strategy.

[0031] As a further solution of the present invention: the data acquisition system includes a sensor, a data collector, a communication interface and a power management unit;

[0032] The sensors include current sensors, voltage sensors, temperature sensors and power sensors, which are used to monitor the current, voltage, power and temperature parameters of the DC load in real time;

[0033] The data collector is responsible for collecting data from the sensor array and performing preliminary signal processing, including amplification, filtering, and digital signal processing;

[0034] The communication interface is used to transmit the collected data to the data analysis module;

[0035] The power management unit ensures stable operation of the monitoring module under various power conditions, and includes backup batteries or supercapacitors to cope with sudden power outages.

[0036] As a further solution of the present invention: the data analysis module includes: a data receiving unit, a data storage system, a data processing engine, a machine learning model and an anomaly detection system; the data receiving unit is responsible for receiving the data stream from the monitoring module and performing preliminary data formatting and verification;

[0037] The data storage system is used to store real-time data and historical data, including a memory for fast access and a hard disk for long-term storage;

[0038] The data processing engine includes a series of algorithms and models for cleaning, transforming, aggregating and analyzing data; the machine learning model uses machine learning techniques including neural networks, decision trees or clustering algorithms to identify patterns and trends in data; the anomaly detection system is used to identify anomalies or deviations in data.

[0039] The workflow of the monitoring module:

[0040] Initialization: After the monitoring module is started, it performs a self-check and initializes all sensors and data collectors.

[0041] Data acquisition: The sensor array monitors the various parameters of the DC load in real time, and the data collector converts the analog signal into a digital signal.

[0042] Data preprocessing: Perform necessary preprocessing on the collected data, including noise filtering, outlier detection, and data synchronization.

[0043] Data transmission: The processed data is sent to the data analysis module through the communication interface.

[0044] Data storage: Store raw and processed data locally for subsequent analysis and auditing.

[0045] Abnormal alarm: When abnormal data (such as overload, overheating or voltage abnormality) is detected, the monitoring module can automatically trigger the alarm mechanism and send alarm information to maintenance personnel through the user interface or directly.

[0046] Maintenance and Update: The monitoring module should support remote maintenance and firmware updates to adapt to new monitoring requirements and technology upgrades.

[0047] Technical features of the monitoring module:

[0048] High precision: Sensors and data collectors should have high precision to ensure the accuracy of the data.

[0049] High reliability: The design of the monitoring module should ensure stability under long-term operation and harsh environments.

[0050] Low power consumption: Considering the energy efficiency requirements of communication base stations, the monitoring module should be designed to operate with low power consumption.

[0051] Real-time: The monitoring module should be able to respond to load changes in real time and quickly collect and transmit data.

[0052] Example of monitoring module:

[0053] Current sensors and voltage sensors are installed in the DC power supply system of the communication base station to monitor the current and voltage of the power supply in real time.

[0054] Use temperature sensors to monitor the temperature of power supplies and critical components to prevent overheating issues.

[0055] The sensor data is collected through the data collector and necessary signal processing is performed.

[0056] Wireless communication technology is used to send data to the central control unit of the base station for further analysis and processing.

[0057] The composition of the intelligent decision-making module:

[0058] Decision engine: core algorithms and logic used to formulate load management strategies based on data analysis results.

[0059] Policy Library: Contains a series of predefined management policies for different scenarios and conditions.

[0060] Optimization algorithms: These include linear programming, genetic algorithms, or other optimization techniques to find the best load management solution.

[0061] Rules Engine: used to process decisions based on specific rules, such as security thresholds, priority settings, etc.

[0062] Feedback mechanism: used to collect feedback from the execution module to adjust and optimize the decision-making strategy.

[0063] User interface: provides an interface for operators to interact with the intelligent decision-making module, allowing manual adjustment of strategies or viewing of decision results.

[0064] The workflow of the intelligent decision-making module:

[0065] Receive analysis results: Receive processed data and analysis results from the data analysis module.

[0066] Strategy selection: Select the most appropriate management strategy from the strategy library based on the current load status and historical data.

[0067] Strategy Optimization: Use optimization algorithms to adjust the selected strategy to suit current load conditions and goals.

[0068] Decision making: Combine analysis results and optimization strategies to make final load management decisions.

[0069] Instruction generation: Convert decisions into specific operation instructions and send them to the execution module.

[0070] Execution monitoring: Monitor the operation results of the execution module to ensure that the strategy is executed correctly.

[0071] Feedback adjustment: Adjust and optimize future decision-making strategies based on execution results and system feedback.

[0072] Technical features of intelligent decision-making module:

[0073] Automation: Automatically formulate and execute management strategies based on data analysis results, reducing manual intervention.

[0074] Adaptability: Ability to dynamically adjust policies based on real-time data and changing environmental conditions.

[0075] Optimization: Use advanced optimization algorithms to ensure decision-making efficiency and effectiveness.

[0076] Scalability: The modular design supports the expansion of the policy library and the update of the rule engine to adapt to new management needs.

[0077] Embodiment of intelligent decision-making module:

[0078] Load distribution: Intelligently distribute DC power loads to optimize energy efficiency based on the real-time load and historical usage patterns of communication base stations.

[0079] Failure prevention: Identify potential failure risks and develop preventive measures, such as adjusting load distribution or performing maintenance in advance.

[0080] Energy efficiency optimization: Through intelligent decision-making, optimize the energy usage of base stations and reduce energy waste.

[0081] Emergency Response: Quickly develop and execute emergency strategies when an emergency situation is detected, such as a power failure or overload.

[0082] User interaction: Allows operators to view decision results through the user interface and make necessary manual adjustments

[0083] As a further solution of the present invention: a computer program is stored which can be loaded by a processor and execute the processing performed in the system.

[0084] Detailed advantages of the present invention:

[0085] 1. Improve energy efficiency:

[0086] Load optimization: Through intelligent management, the system is able to optimize load distribution based on real-time data and historical patterns, reducing energy waste.

[0087] Dynamic adjustment: The system can dynamically adjust the load according to communication needs and energy supply to achieve optimal energy utilization.

[0088] 2. Enhanced reliability:

[0089] Real-time monitoring: The system monitors the DC load status in real time to detect and respond to potential faults and abnormal conditions in a timely manner.

[0090] Fault prevention: Through data analysis and prediction, the system can predict and prevent possible faults and reduce downtime.

[0091] 3. Improve maintenance efficiency:

[0092] Predictive maintenance: The system is able to predict the best time to maintain equipment based on data analysis, thereby reducing unexpected downtime and maintenance costs.

[0093] Automated maintenance: Some maintenance tasks can be performed automatically, reducing manual intervention and improving maintenance efficiency.

[0094] 4. Reduce operating costs:

[0095] Reduced manpower requirements: Through automation and intelligent management, the need for manual monitoring and adjustment is reduced, thereby reducing labor costs.

[0096] Reduce energy bills: Optimize energy usage and reduce unnecessary energy consumption, thereby reducing energy bills.

[0097] 5. Improve system flexibility:

[0098] Strong adaptability: The system can adapt to different communication base station configurations and environmental conditions, and has good versatility and flexibility.

[0099] Easy to expand: The system design allows new sensors, modules and functions to be easily added to adapt to future technology development and changes in requirements.

[0100] 6. Enhance user experience:

[0101] User-friendly interface: Provides an intuitive user interface that enables operators to easily monitor system status and make necessary adjustments.

[0102] Quick response: The system can quickly respond to user needs and operations, and provide timely services and support.

[0103] 7. Environmentally friendly:

[0104] Energy saving and emission reduction: By optimizing energy use and reducing energy consumption, it helps reduce greenhouse gas emissions and meets environmental protection requirements.

[0105] 8. Data-driven decision making:

[0106] Scientific decision-making: All decisions are based on data analysis and prediction, which improves the scientificity and accuracy of decision-making.

[0107] 9. Security Improvement:

[0108] Security monitoring: The system can monitor the security of base stations, detect and respond to security threats in a timely manner, and ensure the safe operation of communication base stations.

[0109] 10. Technological advancement:

[0110] Utilize the latest technology: The system uses the latest sensor technology, data processing technology and artificial intelligence algorithms to ensure technological advancement and competitiveness.

[0111] These advantages enable the present invention to not only improve the operating efficiency of communication base stations, but also bring significant economic and social benefits to operators.

[0112] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0113] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. Intelligent management method of DC load in communication base station, It is characterized in that The steps include: (1) Use the data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters; (2) Process the collected data through data analysis algorithms to identify load patterns and abnormal conditions; (3) Based on the data analysis results, the intelligent decision-making module automatically generates load management strategies, including load distribution, optimal scheduling, and fault prevention; (4) The execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision module to achieve energy efficiency optimization and fault prevention; (5) Provide a user interface that enables operators to monitor system status and manually adjust strategies.

2. Intelligent management system for DC loads in communication base stations, It is characterized in that It includes a monitoring module, a data analysis module, an intelligent decision-making module, an execution module and a user interface module. The monitoring module uses a data acquisition system to monitor the DC load status of the communication base station in real time, including current, voltage, power and temperature parameters; the data analysis module processes the collected data through a data analysis algorithm to identify load modes and abnormal conditions; the intelligent decision-making module automatically generates a load management strategy based on the data analysis results, including load distribution, optimized scheduling and fault prevention; the execution module automatically adjusts the DC load configuration of the base station according to the instructions of the intelligent decision-making module to achieve energy efficiency optimization and fault prevention; the user interface enables operators to monitor the system status and manually adjust the strategy.

3. The communication base station DC load intelligent management system according to claim 2, It is characterized in that The data acquisition system includes a sensor, a data collector, a communication interface and a power management unit; The sensors include current sensors, voltage sensors, temperature sensors and power sensors, which are used to monitor the current, voltage, power and temperature parameters of the DC load in real time; The data collector is responsible for collecting data from the sensor array and performing preliminary signal processing, including amplification, filtering, and digital signal processing; The communication interface is used to transmit the collected data to the data analysis module; The power management unit ensures stable operation of the monitoring module under various power conditions, and includes backup batteries or supercapacitors to cope with sudden power outages.

4. The communication base station DC load intelligent management system according to claim 3, It is characterized in that The data analysis module includes: a data receiving unit, a data storage system, a data processing engine, a machine learning model and an anomaly detection system; the data receiving unit is responsible for receiving the data stream from the monitoring module and performing preliminary data formatting and verification; the data storage system is used to store real-time data and historical data, including fast-access memory and long-term storage hard disk; the data processing engine includes a series of algorithms and models for data cleaning, conversion, aggregation and analysis; the machine learning model uses machine learning techniques including neural networks, decision trees or clustering algorithms to identify patterns and trends in data; the anomaly detection system is used to identify anomalies or deviations in data.

5. A storage medium, It is characterized in that A computer program is stored which can be loaded by a processor and execute the processing performed in the system as claimed in any one of claims 2 to 4.

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