CN-122018328-A - Environment self-adaptive low-power consumption management system and method for electronic timer

Abstract

The invention relates to the technical field of electronic timers, in particular to an environment self-adaptive low-power consumption management system and method for an electronic timer, wherein the system comprises an environment sensing array, a physical state estimator, a dynamic power consumption strategy generator, a closed-loop execution and calibration unit and a self-adaptive compensator; according to the method, the multi-dimensional environment parameters are dynamically collected, a coupling model representing the relation between frequency offset and compensation power consumption is constructed, the residual capacity and the timing error accumulated value of equipment are combined, the combined regulation and control parameters are generated through multi-objective optimization, hardware is driven to execute and monitor the operation deviation in real time, and strategy self-adaptive iterative optimization is achieved through feedback closed loop. The invention effectively solves the pain points of the mutual restriction of the precision and the power consumption of the traditional electronic timer, and greatly improves the self-adaptive capacity, the duration and the full life cycle operation stability of the equipment environment.

Inventors

• HUANG XINHAI

Assignees

• 福州三立电子有限公司

Dates

Publication Date

20260512

Application Date

20260410

Claims (7)

1. 1. An environment-adaptive low-power management system for an electronic timepiece, characterized by comprising: the environment sensing array is used for collecting multidimensional environment parameters at a dynamically adjustable sampling frequency, and the multidimensional environment parameters at least comprise environment temperature, vibration spectrum and environment illumination; a physical state estimator, connected to the environmental awareness array, configured to construct an environmental-error coupling model for the current time based on the multi-dimensional environmental parameters, the environmental-error coupling model being used to characterize a functional relationship between an expected frequency offset and temperature-compensated power consumption of the timing reference element of the electronic timer under the current environmental parameters; The dynamic power consumption strategy generator is connected to the physical state evaluator and is configured to input the environment-error coupling model, the current residual capacity of the electronic timer and the current timing error accumulation value into the multi-objective optimization decision network together and output a group of joint regulation parameters, wherein the joint regulation parameters at least comprise the duty ratio of a temperature compensation circuit of a timing reference element, the power supply voltage gear of a frequency division counting unit and the refresh rate threshold of a display panel; The closed-loop execution and calibration unit is respectively connected to the dynamic power consumption strategy generator and each functional module of the electronic timer, and is configured to analyze the combined regulation and control parameters into hardware control instructions and issue and execute the hardware control instructions, and simultaneously monitor the actual frequency offset of the timing reference element and the actual power consumption of the display panel in real time to generate an actual measurement deviation vector; The self-adaptive compensator is respectively connected with the closed-loop execution and calibration unit and the dynamic power consumption strategy generator, is configured to feed back the actually measured deviation vector to the multi-objective optimization decision network, trigger the multi-objective optimization decision network to take the weighted sum of the minimum timing error and the power consumption in unit time as a target, perform online parameter optimization in the neighborhood of the joint regulation parameters, and update the optimizing result to the strategy standard of the dynamic power consumption strategy generator.
2. 2. The environment-adaptive low-power consumption management system for an electronic timer according to claim 1, wherein the environment-aware array specifically comprises a low-power consumption monitoring unit, a frequency scheduling unit and a high-precision acquisition unit; the low-power consumption monitoring unit is configured to acquire a coarse granularity change value of an environmental parameter according to a preset basic dormancy wakeup period, and transmit the coarse granularity change value to the frequency scheduling unit; the frequency scheduling unit is configured to receive the coarse granularity change value, calculate the environmental state fluctuation rate at the current moment, generate a frequency adjustment coefficient based on the environmental state fluctuation rate, and correct a preset basic sampling frequency by using the frequency adjustment coefficient to obtain a dynamically adjustable sampling frequency; The high-precision acquisition unit is configured to respectively drive the temperature sensing assembly, the vibration sensing assembly and the photosensitive sensing assembly to acquire synchronous data according to the dynamically adjustable sampling frequency, so as to obtain environmental temperature data, an original vibration signal and environmental illuminance data; the high-precision acquisition unit is further configured to perform time-frequency domain conversion processing on the original vibration signal, generate a vibration spectrum, and package the environmental temperature data, the vibration spectrum and the environmental illuminance data into multidimensional environmental parameters; the context aware array outputs the multi-dimensional context parameters to the physical state evaluator.
3. 3. The system for environmental adaptive low power consumption management of an electronic timepiece of claim 1 wherein said physical state evaluator comprises a feature extraction subunit, a frequency drift prediction subunit, and a coupling relationship construction subunit; The characteristic extraction subunit is configured to receive multidimensional environment parameters, perform time domain sliding variance calculation on environment temperature data to generate a temperature fluctuation characteristic value, perform frequency band energy distribution statistics on a vibration frequency spectrum to generate a mechanical interference characteristic value, perform step change identification on environment illumination data to generate a photo-thermal influence characteristic value, and fuse the temperature fluctuation characteristic value, the mechanical interference characteristic value and the photo-thermal influence characteristic value into an environment stress characteristic vector; The frequency drift prediction subunit is connected to the feature extraction subunit and is configured to receive the environmental stress feature vector, input the environmental stress feature vector into a pre-trained device physical characteristic mapping library, match the resonance frequency change trend of the timing reference element under the current environmental stress feature vector and output the expected frequency offset; The coupling relation construction subunit is connected to the frequency drift prediction subunit and is configured to calculate heating or digital correction energy consumption required for counteracting the expected frequency offset based on the expected frequency offset to obtain temperature compensation power consumption, and perform curve fitting by taking the expected frequency offset as an independent variable and the temperature compensation power consumption as a dependent variable to generate an environment-error coupling model for representing the function relation of the expected frequency offset and the temperature compensation power consumption.
4. 4. The system for environmental adaptive low power consumption management of an electronic timepiece of claim 1 wherein said dynamic power consumption strategy comprises an input encoding subunit, a target weighting subunit, a constraint boundary subunit, and a parameter decoding subunit; The input coding subunit is configured to receive an environment-error coupling model, a current residual electric quantity and a current timing error accumulation value, normalize the current residual electric quantity to generate an electric quantity state factor, perform threshold comparison on the current timing error accumulation value to generate an error urgency factor, code model parameters of the electric quantity state factor, the error urgency factor and the environment-error coupling model into a decision feature vector, and transmit the decision feature vector to the target weighting subunit and the constraint boundary subunit; the target weighting subunit is configured to receive the decision feature vector, determine a power consumption optimization weight coefficient based on the electric quantity state factor and a preset electric quantity-weight mapping relation, determine a precision optimization weight coefficient based on the error urgency factor and a preset error-weight mapping relation, construct a loss function weight distribution scheme of the multi-target optimization decision network by using the power consumption optimization weight coefficient and the precision optimization weight coefficient, and transmit the loss function weight distribution scheme to the parameter decoding subunit; The constraint boundary subunit is configured to receive the decision feature vector, analyze the functional relation in the environment-error coupling model, determine the minimum duty cycle boundary of the temperature compensation circuit under the limit of meeting the maximum allowable frequency offset, determine the available power supply voltage gear set of the frequency division counting unit and the allowable refresh rate range of the display panel by combining the hardware specification of the electronic timer, generate parameter search space constraint, and transmit the parameter search space constraint to the parameter decoding subunit; The parameter decoding subunit is connected to a multi-objective optimization decision network and is configured to perform iterative optimization with a weighted sum defined by a minimum loss function weight distribution scheme as a target in parameter search space constraint, generate an optimal parameter combination, analyze the optimal parameter combination into the duty ratio of a temperature compensation circuit of a timing reference element, the power supply voltage gear of a frequency division counting unit and the refresh rate threshold of a display panel, package the optimal parameter combination into a combined regulation parameter and output the combined regulation parameter.
5. 5. The system of claim 1, wherein the closed loop execution and calibration unit comprises an instruction analysis subunit, a hardware driving subunit, a synchronous monitoring subunit and a deviation calculation subunit; the instruction analysis subunit is configured to receive the joint regulation and control parameters output by the dynamic power consumption strategy generator, perform protocol conversion on the joint regulation and control parameters, respectively analyze a duty ratio control value of a temperature compensation circuit of the timing reference element, a power supply voltage gear selection value of the frequency division counting unit and a refresh rate threshold value set value of the display panel, and respectively package the duty ratio control value, the power supply voltage gear selection value and the refresh rate threshold value set value into register configuration instructions of corresponding hardware modules; The hardware driving subunit is connected to the instruction analysis subunit and is configured to receive a register configuration instruction, write the duty ratio control value of the temperature compensation circuit into a control register corresponding to the timing reference element, write the power supply voltage gear selection value into a power management register corresponding to the frequency division counting unit and write the refresh rate threshold value set value into a display control register corresponding to the display panel according to a preset time sequence requirement, and drive the timing reference element, the frequency division counting unit and the display panel to synchronously enter a target working state; The synchronous monitoring subunit is connected to the hardware driving subunit and is configured to start a real-time monitoring thread after the hardware driving subunit executes writing operation, continuously collect real-time output frequency of the timing reference element and real-time working current of the display panel at preset high-frequency sampling intervals, calculate actual frequency offset according to the real-time output frequency and nominal frequency of the timing reference element, and calculate actual power consumption offset according to the real-time working current and theoretical power consumption value of the display panel; The deviation calculation subunit is respectively connected to the synchronous monitoring subunit and the self-adaptive compensator, and is configured to receive the actual frequency offset and the actual power consumption deviation, perform difference operation on the actual frequency offset and the expected frequency offset output by the physical state estimator to generate a frequency offset deviation, perform difference operation on the actual power consumption deviation and the expected power consumption value set in the dynamic power consumption strategy generator to generate a power consumption execution deviation, combine the frequency offset deviation and the power consumption execution deviation into an actual measurement deviation vector, and transmit the actual measurement deviation vector to the self-adaptive compensator.
6. 6. The system for environmental adaptive low power consumption management of an electronic timepiece of claim 1, wherein the adaptive compensator feeds back an actual measurement deviation vector to a multi-objective optimization decision network, triggers the multi-objective optimization decision network to target a weighted sum of a minimum timing error and power consumption per unit time, performs online parameter optimization in a neighborhood of a joint regulation parameter, and updates an optimization result to a policy reference of a dynamic power consumption policy generator, and specifically comprises: The self-adaptive compensator receives the actual measurement deviation vector output by the closed loop execution and calibration unit, analyzes the actual measurement deviation vector, extracts a frequency deviation component and a power consumption execution deviation component, and maps the frequency deviation component and the power consumption execution deviation component to the input feature space of the multi-objective optimization decision network respectively to form a feedback driving vector; The multi-objective optimization decision network firstly judges the deviation degree between the actual running state of the electronic timer and the expected optimization objective under the action of the current joint regulation parameters according to the feedback driving vector, when the deviation degree exceeds a preset self-adaptive regulation threshold, the current joint regulation parameters are used as initial optimization starting points, in a preset neighborhood range taking the initial optimization starting points as the center, the weighted sum of the minimum timing error and the power consumption in unit time is used as the objective, and joint iterative optimization is carried out on the duty ratio of the temperature compensation circuit, the power supply voltage gear of the frequency division counting unit and the refresh rate threshold of the display panel, so that candidate parameter combinations are generated; in the joint iterative optimization process, the multi-objective optimization decision network uses an environment-error coupling model output by a physical state estimator as a constraint condition, checks whether the expected frequency offset under the candidate parameter combination accords with the maximum allowable frequency offset limit of a timing reference element in real time, uses the current residual electric quantity as a boundary condition, checks whether the estimated total power consumption under the candidate parameter combination exceeds a sustainable working duration threshold supported by the current residual electric quantity, and only reserves the candidate parameter combination meeting the constraint of the maximum allowable frequency offset limit and the sustainable working duration threshold; The self-adaptive compensator compares the candidate parameter combination finally output by the multi-objective optimization decision network with the current joint regulation parameters, and when the optimization amplitude of the candidate parameter combination on the weighted sum of the timing error and the power consumption in unit time relative to the current joint regulation parameters is larger than a preset updating threshold value, packages the candidate parameter combination into a parameter updating instruction, and sends the parameter updating instruction to the dynamic power consumption strategy generator; The dynamic power consumption strategy generator receives the parameter updating instruction, analyzes the updated duty ratio of the temperature compensation circuit, the power supply voltage gear of the frequency division counting unit and the refresh rate threshold of the display panel, writes the updated joint regulation parameters into the strategy reference of the dynamic power consumption strategy generator, replaces the original joint regulation parameters, and is used for issuing the control instruction of the next round of closed loop execution and calibration unit.
7. 7. An environmentally adaptive low power management method for an electronic timepiece, said method being performed by the system of any one of claims 1-6, characterized in that it comprises the steps of: S1, acquiring multidimensional environment parameters at a dynamically adjustable sampling frequency through an environment sensing array, wherein the multidimensional environment parameters at least comprise environment temperature, vibration spectrum and environment illumination; S2, receiving the multidimensional environmental parameters generated in the step S1 through a physical state estimator, and constructing an environment-error coupling model at the current moment based on the multidimensional environmental parameters, wherein the environment-error coupling model is used for representing the function relationship between the expected frequency offset and the temperature compensation power consumption of a timing reference element of the electronic timer under the current environmental parameters; s3, receiving the environment-error coupling model generated in the step S2 through a dynamic power consumption strategy generator, inputting the environment-error coupling model, the current residual capacity of the electronic timer and the current timing error accumulation value into a multi-objective optimization decision network together, and outputting a group of combined regulation parameters, wherein the combined regulation parameters at least comprise the duty ratio of a temperature compensation circuit of a timing reference element, the power supply voltage gear of a frequency division counting unit and the refresh rate threshold of a display panel; S4, receiving the combined regulation and control parameters output in the step S3 through a closed-loop execution and calibration unit, analyzing the combined regulation and control parameters into hardware control instructions, issuing the hardware control instructions to each functional module of the electronic timer for execution, and simultaneously monitoring the actual frequency offset of the timing reference element and the actual power consumption of the display panel in real time to generate an actual measurement deviation vector; And S5, receiving the actual measurement deviation vector generated in the step S4 through the self-adaptive compensator, feeding back the actual measurement deviation vector to the multi-objective optimization decision network in the step S3, triggering the multi-objective optimization decision network to take the weighted sum of the minimized timing error and the power consumption in unit time as a target, carrying out on-line parameter optimization in the neighborhood of the combined regulation parameters, and updating the optimizing result into the strategy standard of the dynamic power consumption strategy generator to replace the original combined regulation parameters in the step S3 to participate in the control instruction of the next round.

Description

Environment self-adaptive low-power consumption management system and method for electronic timer Technical Field The invention relates to the technical field of electronic timers, in particular to an environment self-adaptive low-power consumption management system and method for an electronic timer. Background The electronic timer is used as a core basic device for time measurement and time sequence control, is widely applied to various fields such as industrial measurement and control, civil consumption, outdoor portable equipment and the like, and the timing precision and continuous endurance are core indexes for determining the product performance and the application boundary of the electronic timer. The current mainstream electronic timer mostly uses crystal oscillator elements as timing references, and the resonance frequency of the elements is easily interfered by external factors such as ambient temperature, mechanical vibration, photo-thermal effect caused by ambient illumination, and the like, so that uncontrollable frequency offset is generated, and timing error accumulation is directly caused, so that the metering accuracy of equipment is affected. Aiming at the frequency offset problem caused by environmental factors, the traditional solution mostly adopts a hardware temperature compensation circuit with fixed parameters or an open-loop type fixed period compensation strategy, and cannot accurately match compensation force according to environmental dynamic changes. The scheme is characterized in that the scheme is used for ensuring that the timing precision continuously maintains full-load compensation operation, causing a large amount of unnecessary power consumption and greatly shortening the duration of equipment, or controlling the power consumption to reduce compensation action, cannot cope with the error overrun caused by environmental mutation, and cannot break the industry bottleneck of mutual restriction between the timing precision and the operation power consumption. The power consumption management and control of the traditional electronic timer mainly adopts a mode of independent regulation and control of a single module, only sets a power consumption control strategy of a fixed gear aiming at a display panel or a power management unit, and cannot realize the collaborative joint optimization of multi-core power consumption units such as a temperature compensation circuit, a frequency division counting unit, a display module and the like, so that the minimization of the power consumption of the whole system is difficult to achieve, and the improvement space of the cruising ability of equipment is very limited. Meanwhile, the traditional open-loop management architecture lacks a complete closed-loop feedback and self-adaptive compensation mechanism, the problems of characteristic drift and hardware aging after long-term use of a timing reference element cannot be adapted, the conditions that the timing precision is continuously reduced and the operation power consumption is gradually increased easily occur after long-term operation of equipment, frequent manual calibration and maintenance are needed, the use cost is high, and the stability and the reliability of long-term operation are insufficient. In summary, the prior art has not formed a set of integrated low-power management scheme capable of sensing multidimensional environmental changes in real time, synchronously realizing accurate prediction of frequency offset, collaborative optimization of multi-target power consumption, closed-loop execution calibration and self-adaptive strategy update, and is difficult to meet core use requirements of an electronic timer on high precision, long endurance and high reliability in complex application scenes. Disclosure of Invention The present invention is directed to an environment adaptive low power management system and method for an electronic timepiece, so as to solve the above-mentioned problems in the related art. In order to achieve the above purpose, the present invention provides the following technical solutions: An environmentally adaptive low power management system for an electronic timepiece, comprising: the environment sensing array is used for collecting multidimensional environment parameters at a dynamically adjustable sampling frequency, and the multidimensional environment parameters at least comprise environment temperature, vibration spectrum and environment illumination; a physical state estimator, connected to the environmental awareness array, configured to construct an environmental-error coupling model for the current time based on the multi-dimensional environmental parameters, the environmental-error coupling model being used to characterize a functional relationship between an expected frequency offset and temperature-compensated power consumption of the timing reference element of the electronic timer under the current environmental parameters; The dynamic