Laser marking instrument wireless charging intelligent management method based on multi-source information fusion

Abstract

The invention particularly relates to a laser marking instrument wireless charging intelligent management method based on multi-source information fusion. According to the method, aiming at the problems of heating, measurement interference, low efficiency and the like caused by simply adding a wireless charging function to an existing product, a currently allowed safe charging power upper limit is dynamically decided by monitoring multi-source parameters such as internal temperature of an instrument, a power supply state, a working mode and capability of an external charger in real time and performing fusion calculation; therefore, the wireless charging receiving module and the internal power distribution circuit are intelligently controlled, and the energy flow direction is cooperatively managed. Charging overheating is effectively prevented, measurement precision is guaranteed, a charging strategy is adaptively adjusted according to different working modes, the core function of the system is preferentially ensured, energy distribution efficiency is optimized, and the service life of a battery is prolonged. According to the invention, the safety, intelligence and user experience of the laser marking instrument in a wireless charging scene are significantly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of laser line instrument wireless charging intelligent management scheme design, in particular to a laser line instrument wireless charging intelligent management method based on multi-source information fusion. BACKGROUND

[0002] As a kind of precision optical measuring tool, laser line instrument has been widely used in building decoration, engineering construction and home installation and many other fields, which provides reference for work by projecting high-precision laser line. The laser line instrument on the market generally uses rechargeable lithium battery as energy source, and its power supply or charging mode mainly depends on traditional wired connection or directly charging the battery. Although this mode is mature and low in cost, it brings significant inconvenience to users in actual use, especially in complex or narrow working environment, finding power socket and connecting cable often interferes with normal measurement, and frequent disassembly of battery not only is cumbersome, but also may accelerate mechanical wear of battery interface and affect contact reliability. With the rise and development of wireless charging technology, it provides a more convenient power supply solution for consumer electronics products. Although wireless charging technology is mature in other consumer electronics fields, its innovative application in the field of laser line instrument with high precision and stability requirements is still an industry blank. This is mainly because laser line instrument as a precision measuring instrument has special requirements for internal thermal environment management, electromagnetic compatibility and working stability, etc., so that simple wireless charging function integration will bring serious technical challenges. Especially, the heat generated during wireless charging may affect the wavelength stability and output power of the laser, and then cause the line precision drift, which is a technical problem that has not been effectively solved by the technical personnel in the field for a long time. In actual application, the coil and conversion circuit will generate heat during wireless charging, and if the heat accumulates, it may cause the internal temperature of the instrument to rise, and then potentially threaten the stability of the laser emission module and the line precision; at the same time, the charging management and the working state of the instrument are independent of each other, and cannot intelligently adjust the charging strategy according to different scenes such as high-precision measurement, ordinary use or standby, which may affect the performance of the core function and cannot realize the optimal allocation of energy. Therefore, the existing technology lacks a systematic solution to realize the deep cooperation and intelligent management between the wireless charging process and the core function of the instrument from the aspect of electrical control method, which is a technical problem to be solved in the field.

[0003] Therefore, the existing technology needs further development. SUMMARY

[0004] The purpose of the present application is to overcome the above technical deficiencies and provide a laser line instrument wireless charging intelligent management method based on multi-source information fusion to solve the problems existing in the prior art.

[0005] To achieve the above technical purposes, the application provides a laser line instrument wireless charging intelligent management method based on multi-source information fusion, comprising: S1: Real-time monitoring and obtaining a plurality of operating parameters of the laser line instrument; S2: Based on the plurality of operating parameters, calculating the current allowed wireless charging input power upper limit value; S3: Based on the wireless charging input power upper limit value, generating a control instruction to dynamically adjust the wireless charging process.

[0006] Specifically, in step S1, the plurality of operating parameters include temperature parameters and power supply parameters.

[0007] Specifically, in step S1, the plurality of operating parameters further include a working mode parameter of the laser line instrument.

[0008] Specifically, the temperature parameters include at least one of the temperature of the laser module, the temperature of the battery, and the temperature of the wireless charging receiving coil.

[0009] Specifically, the power supply parameters include at least one of the current power value of the battery and the real-time power consumption value of the whole machine.

[0010] Specifically, step S2 specifically includes: According to the working mode parameter, determine the power adjustment strategy corresponding to the current mode, and based on the plurality of operating parameters and the power adjustment strategy, calculate the wireless charging input power upper limit value.

[0011] Specifically, when the working mode is a high-precision line marking mode, the power adjustment strategy is to preferentially ensure system load power supply and limit charging power.

[0012] Specifically, in step S1, the plurality of operating parameters further include transmit end available power information obtained from the wireless charger.

[0013] Specifically, in step S3, the dynamic adjustment of the wireless charging process includes: According to the wireless charging input power upper limit value and the transmit end available power information, send a power request instruction to the wireless charger to adjust its transmit power.

[0014] Specifically, in step S3, the dynamic adjustment of the wireless charging process further includes: controlling the internal power distribution circuit to coordinate the energy distribution among the wireless power supply, the battery and the system load.

[0015] Advantages: The intelligent management method based on multi-source information fusion provided by the application brings many significant benefits to the laser line instrument. First, the method comprehensively monitors the temperature data of key parts such as the laser module and the battery, and dynamically limits the wireless charging power as the core constraint condition, which fundamentally solves the heat safety hidden danger in the wireless charging process, effectively prevents problems such as laser wavelength drift, line precision drift, output power attenuation and component accelerated aging caused by excessive internal temperature, especially solves the cumulative error problem caused by temperature change in high-precision measurement scenarios, and greatly guarantees the measurement accuracy and long-term reliability of the instrument during the charging process. Second, the application breaks the traditional mode of isolation between charging management and instrument working state, creatively realizes the intelligent adaptation of charging strategy and user use scene by introducing working mode recognition and whole machine real-time power consumption monitoring; the system can automatically distinguish whether the instrument is in high-precision operation, ordinary use or standby state, and make decisions accordingly whether to prioritize system power supply, limit charging or perform full charging, which makes the charging process highly intelligent, not only avoids any potential interference of charging on high-precision measurement, but also fully utilizes the standby time to efficiently supplement the electric energy, greatly improving the user's use convenience and overall experience. Finally, the application builds an efficient energy management system through the coordinated control of internal energy distribution logic and external wireless charger; it can intelligently coordinate the energy flow of wireless power supply, built-in battery and system load, preferentially adopt wireless energy to directly drive the system and optimize the battery charging process, which not only reduces the battery charge and discharge cycle times to prolong its life, but also ensures the absolute stability of laser output without flicker in high load transient fluctuation, thereby improving energy utilization efficiency while further enhancing product work stability and reliability. In summary, the application realizes the unity of safety, intelligence and efficiency through pure electrical method innovation, and brings comprehensive performance improvement. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is a flowchart of the application provided in the specific embodiments of the application. DETAILED DESCRIPTION

[0017] In order for those skilled in the art to better understand the technical solutions of the application, the technical solutions of the application will be described clearly and completely below in combination with the drawings of the application. Based on the embodiments in the present application, other similar embodiments obtained by those skilled in the art without creative labor shall fall within the scope of protection of the present application. In addition, the direction words mentioned in the following embodiments, such as "up", "down", "left", "right", etc. are only the directions of the drawings, therefore, the direction words used are used to illustrate but not to limit the application.

[0018] The application will be further described below in connection with the accompanying drawings and preferred embodiments.

[0019] Referring to Figure 1 The application provides a wireless charging intelligent management method for a laser line instrument based on multi-source information fusion, comprising: S1: Real-time monitoring and obtaining a plurality of operating parameters of the laser line instrument.

[0020] S2: Based on the plurality of operating parameters, calculating a current allowed upper limit value of wireless charging input power.

[0021] S3: Based on the upper limit value of wireless charging input power, generating a control instruction to dynamically adjust the wireless charging process.

[0022] It should be further pointed out that the protection scheme of the application includes three core steps. First, step S1 is performed, and the control unit real-time monitors and obtains a plurality of operating parameters of the laser line instrument. These parameters include but are not limited to temperature, voltage, current and other basic physical quantities. Then, step S2 is performed, and based on the plurality of obtained operating parameters, a preset algorithm is used to calculate a current allowed upper limit value of wireless charging input power. Finally, step S3 is performed, and based on the calculated power upper limit value, a corresponding control instruction is generated, and the wireless charging process is dynamically adjusted through circuit control.

[0023] It can be understood that through the organic combination of the three steps, intelligent management of the wireless charging process is realized, various problems caused by simple function superposition are avoided, and charging safety and device reliability are improved.

[0024] Specifically, in step S1, the plurality of operating parameters include temperature parameters and power supply parameters.

[0025] It should be further pointed out that the plurality of operating parameters monitored in step S1 include temperature parameters and power supply parameters. The temperature parameters are collected by a temperature sensor, and the power supply parameters are collected by a current-voltage detection circuit.

[0026] It can be understood that by distinguishing the parameter types, data processing and decision-making can be more targeted, and management efficiency can be improved.

[0027] Specifically, in step S1, the plurality of operating parameters further include a working mode parameter of the laser line instrument.

[0028] It should be further pointed out that the operating parameters monitored in step S1 further include a working mode parameter of the laser line instrument. The working mode parameter is obtained by reading the value of the device state register, including the working states such as the line mode and standby mode.

[0029] It can be understood that by introducing the working mode parameter, the charging management can be adaptively adjusted according to the actual use state of the device, and the user experience is improved.

[0030] Specifically, the temperature parameter includes at least one of the temperature of the laser module, the temperature of the battery and the temperature of the wireless charging receiving coil.

[0031] It should be further explained that the temperature parameter includes the temperature of the laser module, the temperature of the battery and the temperature of the wireless charging receiving coil. The temperature of the laser module is monitored by a temperature sensor installed on the heat dissipation substrate of the laser, and the temperature of the battery is monitored by a temperature sensor attached to the surface of the battery.

[0032] It can be understood that the three key heat sources are monitored, and the heat risk can be more accurately controlled to ensure the safety of the device.

[0033] In other preferred embodiments of the present application, the temperature of the laser module is accurately monitored by a first NTC thermistor disposed on the heat dissipation substrate of the laser module, and the temperature of the battery is also monitored by a second NTC thermistor attached to the surface of the battery. It is particularly important to further monitor the temperature of the coil in real time by a third NTC thermistor arranged on the back or near the wireless charging receiving coil. The reason for choosing this position for monitoring is that during wireless energy transmission, the receiving coil will directly generate heat due to hysteresis loss and eddy current effect, which is the third major heat source in the instrument in addition to the laser module and the battery. Direct monitoring of the temperature can most effectively capture the local overheating risk caused by wireless charging itself, which is a core means to prevent the charging module from overheating and damaging and indirectly affect the overall thermal environment of the instrument. The current battery capacity value (SOC) is read by the existing battery management unit (BMU), and the real-time power consumption value of the whole machine is obtained by a precision sampling resistor connected in series in the main power supply circuit. In addition, the control unit also obtains the current working mode parameter of the instrument from the mode switch or the state register of the instrument through I2C or UART interface.

[0034] Specifically, the power parameter includes at least one of the current battery capacity value and the real-time power consumption value of the whole machine.

[0035] It should be further explained that the power parameter includes the current battery capacity value and the real-time power consumption value of the whole machine. The battery capacity can be measured by a coulomb meter or a voltage detection circuit, and the whole machine power consumption can be measured by a current sampling circuit.

[0036] It should be further explained that the core of the present application lies in a set of algorithm processes executed by the control unit (such as MCU). The process starts with real-time monitoring and acquisition of multiple source running parameters inside the laser leveling instrument.

[0037] Further, the application also communicates with the external wireless charger through the communication controller integrated in the wireless charging receiving module to obtain the available power information of the transmitting end of the wireless charger.

[0038] It can be understood that by monitoring the two key power supply parameters of power and power consumption, accurate data basis is provided for power distribution.

[0039] Specifically, step S2 specifically comprises: According to the working mode parameter, a power adjustment strategy corresponding to the current mode is determined, and the upper limit value of the wireless charging input power is calculated based on the plurality of operating parameters and the power adjustment strategy.

[0040] It should be further explained that step S2 specifically comprises: according to the working mode parameter, a power adjustment strategy corresponding to the current mode is determined, and the upper limit value of the wireless charging input power is calculated based on the plurality of operating parameters and the power adjustment strategy. Different working modes correspond to different power adjustment coefficients, which are pre-stored in the memory of the control unit.

[0041] It can be understood that through the mode-related strategy adjustment, the power management is more refined and adapts to the needs of different use scenarios.

[0042] Specifically, when the working mode is a high-precision reticle mode, the power adjustment strategy is to prioritize system load power supply and limit charging power.

[0043] It should be further explained that when the working mode is a high-precision reticle mode, the power adjustment strategy is to prioritize system load power supply and limit charging power. In this mode, the charging power is limited at a low level to ensure that the reticle precision is not affected.

[0044] It can be understood that in the key working mode, the core function is prioritized to ensure the performance stability of the main function of the device.

[0045] Specifically, in step S1, the plurality of operating parameters further include the available power information of the transmitting end obtained from the wireless charger.

[0046] It should be further explained that the operating parameters monitored in step S1 further include the available power information of the transmitting end obtained from the wireless charger. The information is obtained through a wireless charging communication protocol, such as a configuration data packet in the QI protocol.

[0047] It can be understood that by obtaining the transmitting end capability information, the supply and demand relationship can be better coordinated, and the charging efficiency can be improved.

[0048] Specifically, in step S3, the dynamic adjustment of the wireless charging process comprises: According to the wireless charging input power upper limit value and the transmitting end available power information, a power request instruction is sent to the wireless charger to adjust its transmitting power.

[0049] It should be further explained that in step S3, the dynamic adjustment of the wireless charging process includes: according to the wireless charging input power upper limit value and the transmitting end available power information, a power request instruction is sent to the wireless charger to adjust its transmitting power. The power request instruction is sent through the wireless charging communication protocol.

[0050] It can be understood that the bidirectional communication and cooperative control with the charger are realized, and the whole charging system is more intelligent and efficient.

[0051] Specifically, in step S3, the dynamic adjustment of the wireless charging process further includes: controlling the internal power distribution circuit to coordinate the energy distribution among the wireless power supply, the battery and the system load.

[0052] It should be further explained that in step S3, the dynamic adjustment of the wireless charging process further includes: controlling the internal power distribution circuit to coordinate the energy distribution among the wireless power supply, the battery and the system load. The power distribution circuit adopts an ideal diode circuit composed of MOSFET or a special power path management chip.

[0053] It can be understood that through fine energy distribution management, the energy use efficiency is optimized, and the battery life is prolonged.

[0054] It needs to be further explained that the core of the present application is a set of algorithmic processes executed by the control unit (such as MCU). The process starts with real-time monitoring and acquisition of internal multi-source operating parameters of the laser leveling instrument. Specifically, the temperature of the laser module is accurately monitored by the first NTC thermistor deployed on the laser module heat sink substrate. This monitoring point is as close as possible to the laser diode because the temperature change here directly reflects the thermal state of the core functional components and is the primary indicator for evaluating thermal impact. Similarly, the battery temperature is monitored by the second NTC thermistor attached to the surface of the battery. This location is chosen because it can most truly reflect the temperature of the battery itself, which is crucial for ensuring charging safety. The current battery capacity value (SOC) is read by the existing battery management unit (BMU), which is calculated by the BMU through coulomb counting or voltage-capacity curve model, and is the basis for determining the charging demand. The real-time power consumption value of the whole machine is obtained through the precision sampling resistor and its supporting ADC (analog-to-digital converter) circuit connected in series in the main power supply circuit. The sampling point is located after the power management integrated circuit to accurately measure the total current consumed by all functional modules. This value reflects the instantaneous load of the system. In addition, the control unit also obtains the current working mode parameters of the instrument, such as high-precision leveling mode, ordinary mode or standby mode, from the mode switch or status register of the instrument through I²C or UART interface. The working mode is the key to determine the system performance and power consumption strategy, and the requirements for power stability and thermal environment are completely different in different modes. Further, the present application also communicates with the external wireless charger through the communication controller (supporting WPCQi protocol) integrated in the wireless charging receiving module to obtain the available power information of the transmitter end. This information indicates the upper limit of the supply capacity of the external power source.

[0055] After successfully collecting the above-mentioned multi-source parameters, the control unit enters the calculation and decision-making stage. First, the system compares the laser module temperature and the battery temperature with the internal preset safety threshold values respectively. The threshold value of the laser module temperature is preferably set to 50℃. The reason for choosing this value is that many semiconductor lasers will exhibit significant wavelength drift and power attenuation above this temperature, which will directly affect the leveling accuracy, the core indicator, so intervention measures must be taken before this temperature point. The threshold value of the battery temperature is preferably set to 60℃. The reason for choosing this value is that it is a recognized upper limit of safety temperature for lithium-ion batteries during fast charging, which helps to achieve the best balance between charging speed and battery life and safety. Based on the most stringent temperature limit parameters, the control unit dynamically calculates a current allowed wireless charging input power upper limit value using a pre-set algorithmic model (such as lookup table method or linear decay model). The core logic of this model is that the higher the temperature, the lower the allowed charging power upper limit, to ensure that the heat generation rate is always lower than the dissipation rate.

[0056] This calculation process is not isolated, but is deeply coordinated with the working mode parameters. Specifically, the control unit pre-stores power adjustment strategies corresponding to different working modes. When the system is in the high-precision reticle mode, its power adjustment strategy is set to prioritize ensuring system load power supply and strictly limiting charging power, and even suspending charging. Its beneficial effect is that it can completely eliminate any potential impact of voltage fluctuations and electromagnetic interference caused by charging on precision measurement circuits, while minimizing the additional heat generated by charging, thereby absolutely guaranteeing the highest precision of the reticle operation. If the system is in standby mode and the temperature conditions allow, the strategy can be adjusted to allow maximum power charging, which has the beneficial effect of taking full advantage of idle time to quickly replenish power and improve user efficiency.

[0057] After calculating the final upper limit value of the wireless charging input power, the system enters the execution and control phase. On the one hand, the control unit limits the received power within the upper limit value through the control interface of the wireless charging receiving module (such as the GPIO pin controlling the load modulation), which has the beneficial effect of directly and quickly controlling energy input, avoiding overheating risks from the source, and achieving electrical coordination of thermal management and charging management. On the other hand, the control unit compares the calculated power demand with the obtained available power information from the transmitting end, takes the smaller value of the two, and sends a power request instruction to the wireless charger through a wireless communication protocol (such as the control error packet in the Qi protocol), so that the transmitting power of the wireless charger matches our actual demand. Its beneficial effect is to form a closed-loop coordination with the external power source, avoiding efficiency losses caused by mismatches between energy requests and supplies, and improving overall energy conversion efficiency.

[0058] Finally, the control unit also directs the internal power distribution circuit (such as an ideal diode circuit composed of MOSFETs or a power path management chip) through internal control logic lines. The responsibility of this circuit is to intelligently coordinate the energy distribution between the wireless power source, the battery, and the system load. Its preferred strategy is to prioritize using the wireless power source to directly power the system load when the wireless power source's power is sufficient, while charging the battery with excess energy. Its beneficial effect is to reduce the number of battery charge and discharge cycles, thereby significantly extending the battery's service life. When the instrument's instantaneous power consumption surges and exceeds the wireless power source's immediate supply capacity, the power distribution circuit will instantaneously and seamlessly switch to the battery's collaborative power supply mode. Its beneficial effect is to ensure that the system can obtain stable and continuous power supply under any working conditions, avoiding flickering or interruption of laser output due to voltage drops, and greatly improving the product's reliability and user experience.

[0059] The following is a specific example to illustrate the workflow of the present application: After the control unit (MCU) is powered on, it first loads the following preset thresholds and parameters from the non-volatile memory: Laser module temperature alert threshold (T_laser_alert): 50℃. The reason for choosing this value is that beyond this temperature, common small power semiconductor laser tubes will have significant thermal-induced wavelength drift (typically >0.1 nm / ℃), which severely affects the reticle accuracy, and must be pre-warned and take power reduction measures.

[0060] Laser module temperature shutdown threshold (T_laser_shutdown): 60℃. The reason for choosing this value is that this temperature is the upper limit of long-term reliable operation for most laser tube core packaging materials, and beyond this temperature will accelerate device aging and even permanent damage.

[0061] Battery charging temperature upper limit (T_batt_max): 60℃. The reason for choosing this value is that this is the recommended safety temperature upper limit for mainstream lithium-ion battery chemistry when fast charging, which helps to achieve the best balance between charging speed and battery life.

[0062] Battery charging temperature lower limit (T_batt_min): 5℃. The reason for choosing this value is that charging a lithium battery at a high voltage below this temperature will cause metal lithium to precipitate, which poses a safety hazard.

[0063] Wireless receiving coil temperature upper limit (T_coil_max): 70℃. The reason for choosing this value is that this is the temperature limit for long-term operation of common electromagnetic wire insulation paint and shielding materials, and beyond this temperature may damage the coil insulation or reduce the charging efficiency.

[0064] System high power threshold (P_high_load): 5W. The reason for choosing this value is that when the whole machine power consumption is greater than this value, it indicates that the laser is in a high power output state, and system stability is prioritized.

[0065] Step S1: Real-time monitoring and data fusion: The control unit collects data at a period of 100ms (this period can effectively capture temperature changes without causing excessive burden on the MCU), through the following ways: 1. Temperature collection: Read the voltage values of NTC thermistors located on the laser module heat sink, battery surface and wireless charging coil back respectively through ADC (connected to a constant current source of 50μA), and convert them to real-time temperature values T_laser, T_batt, T_coil according to the NTC scale.

[0066] 2. Power supply parameter collection: Read the battery capacity SOC (accuracy 1%) and health SOH from the battery management unit (BMU) through the I2C interface.

[0067] Through a 0.01Ω precision sampling resistor (the resistance value can be balanced between measurement accuracy and its own power consumption) in series at the mainboard power supply total inlet, and use a high-precision ADC (such as 24-bit Σ-Δ type) to collect the voltage difference between its two ends, the total current I_total is calculated. Given that the system bus voltage is 3.7V (battery voltage), the real-time power consumption P_load=3.7 I_total.

[0068] 3. State acquisition: read the register state of the DIP switch or function key to determine the current working mode (M_mode). Definition: M_mode=1 (high-precision reticle mode, laser drive current is 100% of the rated value), M_mode=2 (normal mode, laser drive current is 70% of the rated value), M_mode=3 (standby / charging mode, laser is off or dim light).

[0069] 4. External communication: through the I2C interface of the wireless charging chip (such as STWLC68 supporting Qi protocol), read the maximum available receive power P_avail (for example 5W, 7.5W, 15W) negotiated after handshake with the transmitter.

[0070] Step S2: Intelligent calculation of power upper limit (P_charge_max) MCU executes the following calculation process: 1. Thermal safety power constraint (P_thermal): Find the highest temperature in the key components: T_max=max(T_laser, T_batt, T_coil).

[0071] Calculate temperature difference: ΔT_alert=T_laser_alert-T_max. ΔT_shutdown=T_laser_shutdown-T_max.

[0072] Determine P_thermal according to temperature condition lookup table: If T_max>=T_laser_shutdown or T_batt>=T_batt_max or T_coil>=T_coil_max, then P_thermal=0W (stop charging immediately).

[0073] If T_max>=T_laser_alert, then P_thermal=2.5W (enter low-speed trickle charging, which aims to maintain power rather than temperature rise).

[0074] If ΔT_alert>10℃, then P_thermal=P_avail (temperature safety, allow full use of charger capacity).

[0075] If 10°C >= ΔT_alert > 0°C, use linear decay: P_thermal = P_avail (ΔT_alert / 10). For example, if T_max = 47°C (ΔT_alert = 3°C), P_avail = 10W, then P_thermal = 10 (3 / 10) = 3W.

[0076] 2. Mode power constraint (P_mode): If M_mode == 1 (high precision mode) and P_load > P_high_load, then P_mode = 0W. Reason: Full power to guarantee measurement, eliminate any electrical noise and thermal disturbance caused by charging.

[0077] If M_mode == 1 and P_load <= P_high_load, then P_mode = 1W. Reason: Allow minimal power to maintain or slow charging.

[0078] If M_mode == 2 (normal mode), then P_mode = min(5W, P_avail). Reason: Provide a balanced charging experience.

[0079] If M_mode == 3 (standby mode), then P_mode = P_avail. Reason: Make full use of time for fast charging.

[0080] 3. Final power decision: Take the minimum value of the above constraints as the final wireless charging input power upper limit value: P_charge_max = min(P_thermal, P_mode, P_avail).

[0081] Step S3: Collaborative control and execution MCU performs the following operations according to P_charge_max: 1. Instruct the wireless charging chip: Write the target power value P_charge_max to the wireless charging chip through I2C. The internal algorithm of the chip will stabilize the actual received power near the target value through changing load modulation, etc.

[0082] 2. Request the transmitter to adjust (optional): If P_charge_max is much smaller than P_avail (such as due to overheating), send a control error packet to the transmitter through the wireless chip to request it to reduce the transmit power to P_charge_max + 0.5W (reserve 0.5W transmission loss), thereby improving overall energy efficiency.

[0083] 3. Manage internal power distribution: MCU controls the operation mode of the power path management chip (e.g. BQ25895).

[0084] If P_charge_max > P_load, the chip is set to directly meet all system load requirements with wireless power, and the remaining power (P_charge_max - P_load) is used to charge the battery.

[0085] If P_charge_max <= P_load, the chip is set to use all wireless power to support system load, and the insufficient part (P_load - P_charge_max) is supplemented by battery discharge. This mode can ensure that the laser output never flickers due to power shortage.

[0086] In a preferred embodiment, the present application also provides an electronic device, which comprises: a memory, and a processor, wherein computer readable instructions are stored on the memory, and the computer readable instructions, when executed by the processor, implement the laser leveling instrument wireless charging intelligent management method based on multi-source information fusion. The computer device can be a server, a terminal, or any other electronic device with necessary computing and / or processing capabilities in a broad sense. In an embodiment, the computer device can include a processor, a memory, a network interface, a communication interface, and the like connected by a system bus. The processor of the computer device can be used to provide necessary computing, processing, and / or control capabilities. The memory of the computer device can include a non-volatile storage medium and an internal memory. The non-volatile storage medium or thereon can store an operating system, a computer program, and the like. The internal memory can provide an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface and the communication interface of the computer device can be used to connect and communicate with external devices through a network. The computer program, when executed by the processor, performs the steps of the method of the present application.

[0087] The application can be implemented as a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the steps of the method of the embodiments of the application to be performed. In one embodiment, the computer program is distributed over a network of coupled computer devices or processors such that the computer program is stored, accessed and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, can be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations can be performed by one or more computer devices or processors and one or more other method steps / operations can be performed by one or more other computer devices or processors. One or more computer devices or processors can perform a single method step / operation, or perform two or more method steps / operations.

[0088] It will be appreciated by the person of ordinary skill in the art that the method steps of the application can be instructed by a computer program to relevant hardware such as a computer device or processor, the computer program being stored in a non-transitory computer-readable storage medium which, when executed, causes the steps of the application to be performed. Any reference herein to a memory, storage, database or other medium can include non-volatile and / or volatile memory as appropriate. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state disk, and so on. Examples of volatile memory include random access memory (RAM), external cache memory, and so on.

[0089] The various technical features described above can be combined in any manner. Although not all possible combinations are described, any combination of the technical features should be considered to be within the scope of the present description, as long as such a combination does not result in a contradiction.

[0090] The above description of specific embodiments of the application does not limit the scope of protection of the application. Any other corresponding changes and modifications made to the technical concept of the application should be included within the scope of protection of the claims of the application.

Claims

1. A method for intelligent management of wireless charging of laser line markers based on multi-source information fusion, characterized in that, Includes the following steps: S1: Real-time monitoring and acquisition of multiple operating parameters of the laser marking instrument; S2: Based on the multiple operating parameters, calculate the current allowed upper limit of wireless charging input power; S3: Based on the upper limit of the wireless charging input power, generate control commands to dynamically adjust the wireless charging process.

2. The method according to claim 1, characterized in that, In step S1, the multiple operating parameters include temperature parameters and power parameters.

3. The method according to claim 1, characterized in that, In step S1, the plurality of operating parameters also include the working mode parameters of the laser marking instrument.

4. The method according to claim 2, characterized in that, The temperature parameters include at least one of the following: the temperature of the laser module, the temperature of the battery, and the temperature of the wireless charging receiving coil.

5. The method according to claim 2, characterized in that, The power parameters include at least one of the current battery charge level and the real-time power consumption of the entire device.

6. The method according to claim 3, characterized in that, Step S2 specifically includes: The power adjustment strategy corresponding to the current mode is determined based on the operating mode parameters, and the upper limit of the wireless charging input power is calculated based on the multiple operating parameters and the power adjustment strategy.

7. The method according to claim 6, characterized in that, When the operating mode is high-precision line marking mode, the power adjustment strategy is to prioritize ensuring power supply to the system load and limit the charging power.

8. The method according to claim 1, characterized in that, In step S1, the plurality of operating parameters also include the available power information of the transmitter obtained from the wireless charger.

9. The method according to claim 8, characterized in that, In step S3, the dynamic adjustment of the wireless charging process includes: Based on the upper limit of the wireless charging input power and the available power information of the transmitter, a power request command is sent to the wireless charger to adjust its transmission power.

10. The method according to claim 1, characterized in that, In step S3, the dynamic adjustment of the wireless charging process further includes controlling the internal power distribution circuit to coordinate the energy distribution between the wireless power supply, the battery, and the system load.

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