Intelligent power supply system for indoor unmanned robot

Abstract

The invention discloses an intelligent power supply system for an indoor unmanned robot, which effectively solves the problems of unstable power supply of the unmanned robot, non-optimization of a charging strategy, restart of a control system due to a power problem and the like in the background technology through intelligent scheduling and optimized power management. According to the system, a main power source is integrated, and a power dispatching module, a power switching module and a power distribution unit are combined, so that seamless switching among the power sources can be realized regardless of switching of commercial power, a diesel generator or solar power generation, and stable operation of core control equipment of the unmanned robot is ensured. By optimizing the charging strategy, the power dispatching module can dynamically adjust the charging and discharging processes, the dependence on the storage battery is reduced, and the service life of the battery is prolonged. In addition, the power distribution unit reasonably distributes power by using an intelligent algorithm, optimizes the energy use efficiency, avoids energy waste, and significantly improves the overall operation efficiency of the system.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent power supply for indoor unmanned robots, and in particular to an intelligent power supply system for indoor unmanned robots. Background Art

[0002] With the rapid development of unmanned robot technology, the role of intelligent power supply systems in the charging and discharging infrastructure of unmanned robots is becoming increasingly important. At present, the power supply of indoor unmanned robots mostly relies on traditional generators or mains power systems. However, in many application scenarios, the stability and efficiency of the power supply system still face certain challenges, especially when the unmanned robot control system is highly dependent on power supply. Any power outage or fluctuation may cause equipment failure or inefficient operation.

[0003] At present, the existing unmanned robot power supply solutions usually use the engine to directly power the robot's internal drive, or use an inverter to power it when the mains power is normal. In these systems, the switching between the generator and the mains power is usually done manually or automatically, but the lack of intelligent control and power scheduling makes the power supply process inflexible and inefficient. During the operation of the unmanned robot system, especially in complex working environments, the shortcomings of traditional power supply methods may lead to problems such as unstable power supply and unoptimized charging strategy, affecting the performance and life of the robot.

[0004] Therefore, how to achieve power dispatching and management in unmanned robot systems through intelligent power distribution and intelligent power consumption technologies, improve power supply efficiency, reduce energy waste and ensure system stability has become a technical problem that needs to be solved urgently in the unmanned robot industry. In addition, with the development of Internet of Things technology, big data technology and information and communication technology, intelligent and automated power management solutions have broad application prospects in the field of unmanned robots. Therefore, the development of an unmanned robot intelligent power supply system with intelligent dispatching and optimized charging strategy is of great significance to improving robot performance and supporting the sustainable development of the energy storage industry. Summary of the invention

[0005] The present application provides an intelligent power supply system for an indoor unmanned robot, which aims to solve the problem that during the operation of the unmanned robot system, especially in a complex working environment, the deficiencies of the traditional power supply method in the prior art may cause problems such as unstable power supply and unoptimized charging strategy, thus affecting the performance and life of the robot.

[0006] An indoor unmanned robot intelligent power supply system, the system comprising:

[0007] The main power source is used to provide power support for the core control equipment of the unmanned robot system; the main power source includes city electricity, diesel generators and solar power generation equipment;

[0008] A backup power source, including a storage battery, which is used to provide power support for the core control device when the main power source fails or the power is insufficient;

[0009] A power dispatching module, for determining a target power source for providing power support for the core control device according to the real-time power consumption demand, operation mode and load change of the unmanned robot system, as well as the status, power quality and voltage fluctuation parameters of multiple power sources; the target power source is at least one of the city power, the diesel generator, the solar power generation equipment and the storage battery;

[0010] A power switching module, used for selecting a power source for the core control device according to a target power source output by the power scheduling module;

[0011] The power distribution unit is used to analyze the power supply capacity and battery status of each power source in the target power source and the load demand through an intelligent algorithm to determine the distribution of each power source in the target power source.

[0012] In the above solution, optionally, when the target power source does not include the battery, the target power source charges the battery through an adapter.

[0013] In the above scheme, optionally, a battery management module is used to monitor the charge state, health state and charging efficiency of the battery in real time, and provide timely feedback to the power dispatching module to optimize the charging and discharging strategy of the battery and extend its service life.

[0014] In the above scheme, optionally, the power dispatching module further includes: a power demand prediction unit, which predicts the power demand in the future period based on the historical power consumption data, current working status and operation mode of the unmanned robot system, and adjusts the power distribution strategy in advance to avoid power overload or shortage.

[0015] In the above scheme, optionally, the power switching module includes: an automatic switching unit, which is used to automatically switch to the most suitable power source when the power source state changes, and ensure that the system is not interrupted during the switching process to avoid the impact of voltage fluctuations on core control devices.

[0016] In the above scheme, optionally, the power distribution unit further includes: a load priority algorithm for dynamically adjusting the distribution of power according to the load priority of each power source, ensuring that the core control equipment always obtains power support first, and avoiding non-critical loads from occupying too much power resources.

[0017] In the above scheme, optionally, the solar power generation equipment in the main power source includes: solar panels, which are used to convert solar energy into electrical energy, and convert direct current into alternating current suitable for core control equipment through a solar inverter to provide power support for the system.

[0018] In the above scheme, an optional power quality monitoring unit is used to detect the voltage, current, frequency and harmonics of each power source in real time to ensure that the power quality of all power sources meets the requirements of the core control equipment and adjust the power input in time to avoid damage to the equipment due to unstable power quality.

[0019] In the above scheme, optionally, the power dispatching module further includes: an external environment perception module, which is used to collect external environment data, such as temperature, humidity, load conditions, etc., to help the dispatching module more accurately predict and adjust power demand and optimize power supply strategy.

[0020] In the above solution, optionally, the power switching module further includes:

[0021] The fault detection and protection unit is used to monitor faults in the power switching process in real time, detect abnormalities in the power source in a timely manner, and quickly switch to the backup power source or activate the protection mechanism to ensure safe operation of the system.

[0022] Compared with the prior art, this application has at least the following beneficial effects:

[0023] Based on further analysis and research on the problems of the prior art, this application recognizes that in the operation process of the unmanned robot system, especially in a complex working environment, the shortcomings of the traditional power supply method may bring about problems such as unstable power supply and unoptimized charging strategy, which affect the performance and life of the robot. Through intelligent scheduling and optimized power management, the problems of unstable power supply, unoptimized charging strategy and restart of the control system due to power problems in the background technology of the unmanned robot are effectively solved. The system integrates the main power source (mains power, diesel generator, solar power generation equipment) and the backup power source (battery), and combines the power scheduling module, the power switching module and the power distribution unit to monitor the status of the power source, power consumption demand and load changes in real time, and intelligently select the most suitable power source for power supply. Whether it is the switching of mains power, diesel generator or solar power generation, the power sources can be seamlessly switched to ensure the stable operation of the core control equipment of the unmanned robot. By optimizing the charging strategy, the power scheduling module can dynamically adjust the charging and discharging process, reduce the dependence on the battery, and improve the battery life. In addition, the power distribution unit uses intelligent algorithms to reasonably distribute power, optimize energy efficiency, avoid energy waste, and significantly improve the overall operation efficiency of the system. This intelligent power supply system not only improves the operating stability of the unmanned robot, but also optimizes the use of electricity, effectively extending the life of the equipment and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A block diagram of the module architecture of an indoor unmanned robot intelligent power supply device provided in one embodiment of the present application.

[0025] Figure 2 A block diagram of the architecture of an unmanned robot intelligent power supply system provided for one embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] In one embodiment, Figure 1 As shown, an indoor unmanned robot intelligent power supply system is provided, comprising:

[0028] The main power source is used to provide power support for the core control equipment of the unmanned robot system; the main power source includes city electricity, diesel generators and solar power generation equipment;

[0029] A backup power source, including a storage battery, which is used to provide power support for the core control device when the main power source fails or the power is insufficient;

[0030] A power dispatching module, configured to determine a target power source for providing power support to the core control device according to the real-time power consumption demand, operating mode and load change of the unmanned robot system, as well as the status, power quality and voltage fluctuation parameters of multiple power sources; the target power source is at least one of the commercial power, the diesel generator, the solar power generation device and the storage battery;

[0031] A power switching module, configured to select the power source of the core control device according to the target power source output by the power dispatching module;

[0032] A power distribution unit, configured to determine the distribution of each power source in the target power source by analyzing the power supply capacity and battery status of each power source in the target power source and the load demand through an intelligent algorithm.

[0033] This embodiment provides an intelligent power supply system for indoor unmanned robots, aiming to solve the technical problems existing in the prior art, such as unstable power supply of unmanned robots, unoptimized charging strategies, and easy restart of the control system due to power problems. By optimizing the power management and dispatching strategies, the intelligent power supply system can achieve more stable, efficient and intelligent power distribution, and ensure the power supply reliability of the unmanned robot during operation.

[0034] The main power sources include commercial power, diesel generators and solar power generation devices. These three power sources have their own characteristics and can provide stable power support in different environments and application scenarios. Commercial power, as a conventional stable power source, is suitable for the power demand of unmanned robots during long-term operation. Diesel generators are suitable for situations where commercial power is unavailable or in remote areas without stable commercial power, and can ensure that the robot system obtains continuous power. The solar power generation device can provide renewable green energy for the system in an environment with good lighting conditions, which helps to reduce the dependence on traditional power.

[0035] The storage battery is the backup power source in this system. When the main power source fails or has insufficient power, the storage battery will automatically provide power support. The selection and design of the storage battery ensure that it has sufficient capacity to support the basic functions of the core control device even when the main power is disconnected for a long time. By using the storage battery, the present invention solves the problem of power outage of unmanned robots in case of emergencies.

[0036] The power dispatch module is the core part of the system. It is responsible for intelligently optimizing the selection of power sources according to the real-time power consumption requirements, operation mode, load changes, and the status, power quality, and voltage fluctuation parameters of multiple power sources of the unmanned robot system. The module can automatically adjust the power supply strategy according to the working status of the robot and the external environmental conditions. For example, when the robot performs high-power tasks, the system will give priority to the mains or diesel generator as the power source according to the load requirements; when the system power consumption is low, solar energy or batteries can be used first, thereby improving energy utilization efficiency and extending the service life of the battery. By real-time monitoring and dispatching of various power sources, the power dispatch module can ensure that the unmanned robot can get support from the most appropriate power source at any time.

[0037] The power switching module is responsible for dynamically selecting the target power source according to the instructions of the power dispatching module and providing the selected power source to the core control device. This module can ensure seamless switching of power sources to avoid restarting or shutting down the robot system due to power outages or instability. For example, when the mains fails, the power switching module will immediately switch to the diesel generator or battery to ensure the continuous operation of the core control device. In addition, the power switching module also needs to consider the voltage fluctuation of the power source to prevent equipment damage due to voltage instability.

[0038] The power distribution unit uses intelligent algorithms to analyze the power supply capacity, battery status, and load demand of each power source, and intelligently distributes power. Its main function is to dynamically adjust the usage ratio of each power source according to real-time demand to ensure that critical loads always have sufficient power support. For example, when multiple power sources are available at the same time, the power distribution unit will give priority to allocating efficient and stable power sources to avoid excessive consumption of battery power, or reduce the burden of a certain power source by adjusting the distribution strategy to extend the overall operation time of the system. The intelligent decision-making of the power distribution unit can effectively reduce energy waste while improving the reliability and stability of the power system.

[0039] It is mentioned in the background technology that during the use of unmanned robots, the system may restart or shut down due to unstable power supply. The present invention adopts a combination of main power source and backup power source, combined with the intelligent scheduling and control of power dispatching module and power switching module, which can monitor the status of power source and load demand in real time, and intelligently select the most suitable power source for power supply, thereby avoiding system failure caused by power fluctuation or power outage. Whether in the switching process of municipal power, diesel generator or solar power generation, the power switching module and the power distribution unit can ensure seamless switching of power sources and ensure stable power supply of core control equipment.

[0040] The charging strategies in traditional systems are often simple and inflexible, which may lead to untimely battery charging or over-discharge of the battery, reducing the battery life. The power dispatch module dynamically adjusts the charging strategy according to the real-time power consumption demand and changes in the external environment, reasonably allocates the use of various power sources, reduces dependence on batteries, and optimizes the battery charging and discharging process to improve power utilization efficiency. Through intelligent algorithms, the power distribution unit can extend the battery life and reduce energy waste while ensuring the normal operation of the system.

[0041] The present invention can intelligently manage multiple power sources and automatically adjust power supply by integrating power dispatching, switching and distribution modules. This flexible and highly automated power management system can make real-time adjustments according to the different workloads and operating modes of the unmanned robot system, maximizing energy utilization and reducing operating costs. At the same time, the intelligent power management system also has the ability to respond to changes in external power conditions (such as power outages, changes in light, etc.), enhancing the adaptability and reliability of the unmanned robot.

[0042] Through intelligent monitoring and early warning mechanisms, the system can detect abnormal conditions of power sources and power supply equipment in real time, and automatically adjust power supply strategies or switch to backup power sources, significantly reducing system failures or downtime caused by power problems. In addition, the automated power dispatching and management functions of the present invention greatly reduce the need for manual intervention, reducing system maintenance costs and operational complexity.

[0043] Through the above specific implementation methods and technical effects, the present invention not only solves the problems of unstable power supply and unoptimized charging strategy mentioned in the background technology, but also improves the overall performance and reliability of the unmanned robot system through intelligent power scheduling and management.

[0044] In one embodiment, when the target power source does not include the battery, the target power source charges the battery through an adapter.

[0045] This embodiment charges the battery in real time through the target power source to ensure that the battery is always at a healthy power level. When the main power source fails or fails to provide power, the battery can be put into use immediately to provide power support for the core control equipment, thereby avoiding system downtime or failure due to power outages.

[0046] Through the intelligent charging strategy, the present invention can dynamically adjust the charging mode according to the power supply capacity of the target power source and make rational use of the existing power resources. For example, when the solar power generation equipment is used as the target power source, the system can use the period of high light intensity to charge efficiently, reduce the dependence on the mains or diesel generators, and thus reduce energy consumption and operating costs.

[0047] The charging method in traditional systems is usually fixed, which may cause the battery to be overcharged or in a low-power state for a long time, affecting the battery life. The present invention adjusts the charging current and voltage in real time through the charging optimization module, combined with the real-time monitoring function of the battery management module, effectively avoiding the problem of overcharging or over-discharging of the battery, thereby significantly extending the battery life and reducing the maintenance cost of the system.

[0048] The present invention ensures that the charging process is always carried out within a safe range through the cooperation of the adapter and the charging management module. The adapter can adjust the output current and voltage in real time, and immediately stop charging when abnormal conditions such as overload and short circuit occur to prevent battery damage or system failure. In addition, the real-time monitoring and feedback mechanism during the charging process can detect and deal with potential risks in a timely manner, further improving the safety of the system.

[0049] The adapter of the present invention is compatible with multiple power sources such as mains electricity, diesel generators and solar power generation equipment, and automatically adjusts charging parameters to adapt to the power supply characteristics of different sources. This flexibility enables the system to operate efficiently in a variety of application scenarios, whether it is an outdoor environment with sufficient sunlight or a remote area with tight power supply, it can ensure the normal charging of the battery.

[0050] When the target power source does not include a battery, through the collaboration of the charging optimization module and the adapter, the present invention can utilize the existing power source to efficiently charge the battery, provide backup power reserves for the unmanned robot system, thereby supporting the continuous operation of the system and task execution, and significantly improving the reliability and practicality of the system.

[0051] This embodiment describes the specific implementation method of how to charge the battery when the target power source does not include the battery, and solves the problems of inflexible charging strategy, low battery utilization efficiency and unsafe charging process in the background technology. Its technical effects are reflected in improving the reliability of system operation, extending the service life of the battery, optimizing the utilization of power resources, and enhancing the adaptability and safety of the system, providing key support for the stable operation of the indoor unmanned robot system.

[0052] In one embodiment, the battery management module is used to monitor the battery's charge state, health state, and charging efficiency in real time, and provide timely feedback to the power dispatching module to optimize the battery's charge and discharge strategy and extend its service life.

[0053] In this embodiment, the battery management module can effectively optimize the battery charging and discharging process by real-time monitoring of the battery's power level, health status, and charging efficiency. The charging strategy is adjusted according to the battery's status to avoid damage to the battery caused by factors such as overcharging, overdischarging, and overheating, thereby significantly extending the battery's service life.

[0054] By monitoring the power and health status of the battery in real time, the battery management module can dynamically adjust the charge and discharge strategies. The system can avoid unnecessary charging or discharging, reduce unreasonable battery usage, thereby improving the charge and discharge efficiency and reducing energy waste. In addition, through intelligent charge management, the charging process of the battery can be more efficient and safe, ensuring the long-term stable operation of the battery.

[0055] The battery management module can provide real-time feedback on the health status of the battery, enabling the power dispatch module to dynamically adjust the power supply strategy according to the battery health status. When the battery has health problems or insufficient power, the power dispatch module can timely adjust the power source to avoid the system from malfunctioning due to the poor state of the battery, thereby enhancing the overall power supply stability and reliability of the system.

[0056] Through real-time monitoring and health status assessment, the battery management module can issue a warning when the battery needs to be replaced, avoiding equipment downtime or damage caused by battery failure. This function effectively reduces the maintenance cost of the unmanned robot system and avoids the impact of system downtime on business and production. Regular battery health assessment can also help maintenance personnel predict the battery life and replace it in advance, further reducing the failure rate.

[0057] The battery management module can not only optimize the battery charge and discharge process, but also provide charging strategy suggestions through data analysis, enabling the entire intelligent power supply system to manage energy more intelligently and efficiently, and improving the overall power usage efficiency. In an environment with multiple power sources coexisting, it can achieve more efficient, economical and sustainable energy utilization, enhancing the overall performance of the system.

[0058] In summary, the introduction of the battery management module effectively enhances the intelligence, stability and long-term performance of the system, ensures the reliable operation of the unmanned robot in various complex environments, improves the usage efficiency of power resources, extends the service life of the battery, and thus optimizes the operation effect of the entire system.

[0059] In one embodiment, the power dispatch module further includes: a power demand prediction unit, which predicts the power demand in the next period of time according to the historical power consumption data, current working status and operation mode of the unmanned robot system, and adjusts the power distribution strategy in advance to avoid power overload or shortage.

[0060] Traditional power dispatch methods usually react based on the current state and cannot predict changes in power demand in advance, which may lead to power overload or shortage. The present invention effectively avoids the situation of power overload or shortage by the power demand prediction unit predicting the future power demand of the system in advance and adjusting the power distribution strategy, ensuring that the system can always obtain sufficient and stable power support.

[0061] The power demand forecasting unit can provide accurate power demand forecasts based on a combination of historical data and real-time data, avoiding the limitation of traditional power dispatching systems that can only make dispatching decisions based on current conditions. The system can prepare for power dispatching before load changes, thereby improving response speed and the accuracy of power management.

[0062] By predicting power demand, the system can dynamically allocate the use of main power sources and backup power sources (such as batteries) to avoid excessive consumption of battery power, improve the efficiency of backup power sources, and extend the service life of batteries. At the same time, the system can reduce energy waste and ensure that every power resource can be used reasonably.

[0063] The power dispatching system of the present invention improves the operational stability and power utilization efficiency of the unmanned robot system based on forward-looking prediction and real-time adjustment. The system can intelligently adjust the use of power sources according to load changes, working modes and external environments, avoid system shutdown or performance degradation caused by unstable power supply, and improve the overall operational efficiency and reliability of the system.

[0064] By introducing the power demand prediction unit, the present invention not only solves the real-time response problem in power management, but also improves the foresight and intelligence of the power dispatching system, providing a more efficient and stable power guarantee for the unmanned robot system.

[0065] In one embodiment, the power switching module includes: an automatic switching unit for automatically switching to the most suitable power source when the power source state changes, and ensuring that the system is not interrupted during the switching process to avoid the impact of voltage fluctuations on core control devices.

[0066] In one embodiment, the power distribution unit further includes: a load priority algorithm for dynamically adjusting power distribution according to the load priority of each power source to ensure that core control devices always receive priority power support and avoid non-critical loads from occupying too much power resources.

[0067] In one embodiment, the solar power generation equipment in the main power source includes: a solar panel for converting solar energy into electrical energy, and converting direct current into alternating current suitable for core control equipment through a solar inverter to provide power support for the system.

[0068] In one embodiment, the power quality monitoring unit is used to detect the voltage, current, frequency and harmonics of each power source in real time to ensure that the power quality of all power sources meets the requirements of the core control equipment and adjust the power input in time to avoid damage to the equipment caused by unstable power quality.

[0069] In one embodiment, the power dispatching module further includes: an external environment perception module for collecting external environment data, such as temperature, humidity, load conditions, etc., to help the dispatching module more accurately predict and adjust power demand and optimize power supply strategy.

[0070] In one embodiment, the power switching module further includes:

[0071] The fault detection and protection unit is used to monitor faults in the power switching process in real time, detect abnormalities in the power source in a timely manner, and quickly switch to the backup power source or activate the protection mechanism to ensure safe operation of the system.

[0072] In a possible embodiment of the present application. Figure 2 As shown, an unmanned robot intelligent power supply system, the hardware includes network power meter, metering energy meter, fee control energy meter, DC energy meter, Hall sensor, motor control, lighting control, remote control unit, intelligent gateway, contactor, voltmeter, ammeter, filter, generator, automatically detachable plastic shell, battery, power converter, remote control panel, switch, remote remote controller, charger, charging cable reel, etc.; the terminal power-consuming equipment includes: inverter, driver, control system;.

[0073] The control core is S7-1200. The input of the controller is responsible for collecting the closing status of each contactor, the soft emergency stop signal provided by the remote control, and the necessary buttons for manual operation. The output is responsible for controlling the closing and disconnection of each contactor. The controller needs to select analog input and output modules, leaving the analog channel blank because of poor stability. The analog input is responsible for reading the voltage and current values ​​on the line to determine the power consumption of the line and the voltage stability.

[0074] According to the overall power usage, the total high-voltage power supply equipment is controlled by an automatically detachable plastic shell. When the current of the entire equipment is higher than the current provided by the engine or the mains, this part automatically falls off, and the control system triggers an alarm sound to the remote control room, prompting the operator to check the circuit.

[0075] Coming down from the main plastic shell, the next level of current is divided. This part is isolated by an ordinary circuit breaker, which is convenient for operators to selectively turn on or off some power-consuming equipment. The next level after the circuit breaker is the contactor. When the circuit breaker is turned on, the PLC controller controls the power supply by controlling the attraction of the contactor.

[0076] According to the load fluctuation data at the end of the unmanned robot, combined with the dispatch instructions of the upper platform, the platform can decide how to participate in the demand response of the unmanned robot. The platform can adjust the charging and generating time by issuing control strategies to the energy storage system. The platform adjusts the controllable load power during the demand response period, stops supplying power to the interruptible load, and can formulate demand response control strategies based on the controllable load data at the end of the unmanned robot to achieve one-click response.

[0077] Specifically, the model of the network power meter is APM500, which has full power measurement, harmonic distortion rate, voltage qualification, and is mainly used for high and low voltage power rate statistics, power statistics, switch input and output, analog monitoring and power management virtual input and output. The network power meter is mainly used for high and low voltage power monitoring and power management.

[0078] The model of the metering energy meter is DTSD1352. The metering energy meter has the functions of full power measurement, energy statistics, direct access within 80A, and rail installation. The metering energy meter is mainly used for low-voltage distribution box metering.

[0079] The model of the fee-controlled energy meter is DDSY1352-Z. This fee-controlled energy meter is used to measure the current, voltage, and time-sharing energy of single-phase users. It has multiple rate settings and is applicable to 8 seasonal modes, 8 time-period rates, and 14 time period settings. It has a built-in disconnect switch that can disconnect single-phase current within 60A and supports RFID card swiping or remote recharge. This fee-controlled energy meter can be used to distribute power to multiple energy-consuming devices one by one.

[0080] The model of the fee-controlled energy meter can also be DDSY1352-XDM, which supports 1 single-phase incoming line and 3 to 5 single-phase outgoing lines, which are used for lighting, fans, and other power-consuming equipment, respectively, and has a malicious load identification function. The fee-controlled energy meter is used for power consumption monitoring of multiple energy-consuming equipment.

[0081] The model of the DC energy meter is DJSF1352-RN. The DC energy meter can measure the voltage, current, power, and forward and reverse energy in the DC system, and is equipped with a Hall sensor (optional). The DC energy meter is mainly used for DC measurement.

[0082] The model of the Hall sensor is AHKC-EKAA. The Hall sensor measures DC0~(5-500)A current, outputs DC4-20mA, and has a working power supply of DC12 / 24V. The Hall sensor is mainly used for DC system monitoring.

[0083] The model of the motor control is ARD3M. The motor control is used for motor protection controllers. It is suitable for low-voltage motor circuits with a rated voltage of up to 660v, integrating protection, measurement, control, communication, and operation and maintenance. Its complete protection function ensures the safe operation of the motor, and the programming function can meet various control requirements. A variety of powerful logic optional communication methods can adapt to different bus communication requirements on site. Motor control can be used for motor protection control.

[0084] The model of lighting control is ASL220Z-S4 / 16. The lighting control driver has its own RT clock chip, which can work independently offline and perform timing tasks (including astronomical clock).

[0085] The models of induction control are ASL220-PN / T, ASL220-RM / T, and ASL220-RP / T. Induction control supports infrared induction, microwave induction, micro-motion induction, and light intensity induction, and preset control logic.

[0086] The model of the remote signal remote control unit is ARTU-KJ8, which is mainly used for 8-way state quantity acquisition, 8-way control output, rail installation, 485 communication, and can realize remote control and state quantity acquisition of circuit breakers or contactors.

[0087] The model of the intelligent gateway is ANet-2E4SM. The edge computing gateway has an embedded Linux system and a Socket network communication method. It supports XML compression upload format, provides AES encryption and MD5 identity authentication and other security requirements, supports breakpoint continuation, and supports Modbus, ModbusTCP, DL / T645-1997, DL / T645-2007, 101, 103, and 104 protocols. It is mainly used for data collection, conversion, and logical judgment of power, environment, etc.

[0088] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. An indoor unmanned robot intelligent power supply system, characterized in that: The system comprises: The main power source is used to provide power support for the core control equipment of the unmanned robot system; the main power source includes city electricity, diesel generators and solar power generation equipment; A backup power source, including a storage battery, which is used to provide power support for the core control device when the main power source fails or the power is insufficient; A power dispatching module, configured to determine a target power source for providing power support for the core control device according to the real-time power consumption demand, operation mode and load change of the unmanned robot system, as well as the status, power quality and voltage fluctuation parameters of multiple power sources; the target power source is at least one of the city power, the diesel generator, the solar power generation equipment and the storage battery; A power switching module, used for selecting a power source for the core control device according to a target power source output by the power scheduling module; The power distribution unit is used to analyze the power supply capacity and battery status of each power source in the target power source and the load demand through an intelligent algorithm to determine the distribution of each power source in the target power source.

2. The intelligent power supply system according to claim 1, characterized in that: In a case where the target power source does not include the storage battery, the target power source charges the storage battery through an adapter.

3. The intelligent power supply system according to claim 1, characterized in that: The battery management module is used to monitor the battery's charge state, health state and charging efficiency in real time, and provide timely feedback to the power dispatching module to optimize the battery's charge and discharge strategy and extend its service life.

4. The intelligent power supply system according to claim 1, characterized in that: The power dispatching module further includes: a power demand prediction unit, which predicts the power demand in the future period based on the historical power consumption data, current working status and operation mode of the unmanned robot system, and adjusts the power distribution strategy in advance to avoid power overload or shortage.

5. The intelligent power supply system according to claim 1, characterized in that: The power switching module includes: an automatic switching unit, which is used to automatically switch to the most suitable power source when the power source state changes, and ensure that the system is not interrupted during the switching process to avoid the impact of voltage fluctuations on core control devices.

6. The intelligent power supply system according to claim 1, characterized in that: The power distribution unit further includes: a load priority algorithm for dynamically adjusting the power distribution according to the load priority of each power source, ensuring that the core control device always obtains power support first and avoiding non-critical loads from occupying too much power resources.

7. The intelligent power supply system according to claim 1, characterized in that: The solar power generation equipment in the main power source includes: solar panels, which are used to convert solar energy into electrical energy, and convert direct current into alternating current suitable for core control equipment through solar inverters to provide power support for the system.

8. The intelligent power supply system according to claim 1, characterized in that: The power quality monitoring unit is used to detect the voltage, current, frequency and harmonics of each power source in real time, ensure that the power quality of all power sources meets the requirements of the core control equipment, and adjust the power input in time to avoid damage to the equipment caused by unstable power quality.

9. The intelligent power supply system according to claim 1, characterized in that: The power dispatching module further includes: an external environment perception module for collecting external environment data, such as temperature, humidity, load conditions, etc., to help the dispatching module more accurately predict and adjust power demand and optimize power supply strategy.

10. The intelligent power supply system according to claim 1, characterized in that: The power switching module also includes: The fault detection and protection unit is used to monitor faults in the power switching process in real time, detect abnormalities in the power source in a timely manner, and quickly switch to the backup power source or activate the protection mechanism to ensure safe operation of the system.

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