Equipment low-power-consumption control method and system based on wireless sensing

Abstract

The invention relates to an equipment low-power-consumption control method and system based on wireless sensing. The method comprises the following steps: carrying out energy consumption modeling on a radio frequency transmitting circuit of a wireless sensing node to obtain a power control factor set for describing an energy consumption behavior of a power amplifier in the radio frequency transmitting circuit; performing bias intelligent control on the power amplifier according to the power control factor set to obtain a self-adaptive bias voltage configuration set under various input signal power conditions; and performing polling protocol synchronization processing on a wireless communication module of the wireless sensing node according to the self-adaptive bias voltage configuration set to obtain a low-power-consumption communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic dormancy strategy, the method is used for controlling the transmitting time slot, the dormancy time period and the back-off waiting time length of the wireless sensing node in the multi-node networking communication. By adopting the method, a structured low-power-consumption control strategy of the wireless sensing node under the condition of dynamic input signal power can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, in particular to a device low-power consumption control method and system based on wireless sensing. BACKGROUND

[0002] In the field of wireless communication technology, the wireless sensing node is adjusted to realize low-power consumption operation in the communication process.

[0003] In the related device low-power consumption control method, the radio frequency transmitting circuit is controlled by a fixed preset bias voltage strategy to realize basic power consumption management under standard signal conditions. However, such method has the disadvantages of response lag and poor energy consumption adaptation capability, which leads to the problem of redundant energy consumption in the communication process due to the inability to realize accurate voltage matching of the power amplifier under different input signal power change conditions. SUMMARY

[0004] Therefore, it is necessary to provide a device low-power consumption control method and system based on wireless sensing, a computer device and a computer readable storage medium for realizing structured low-power consumption control strategy of the wireless sensing node under dynamic input signal power conditions.

[0005] In a first aspect, the present application provides a device low-power consumption control method based on wireless sensing, comprising: energy consumption modeling of the radio frequency transmitting circuit of the wireless sensing node to obtain a power control factor set for describing energy consumption behavior of a power amplifier in the radio frequency transmitting circuit; performing bias intelligent control on the power amplifier according to the power control factor set to obtain an adaptive bias voltage configuration set under various input signal power conditions; performing polling protocol synchronization processing on a wireless communication module of the wireless sensing node according to the adaptive bias voltage configuration set to obtain a low-power consumption communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, so as to control transmission time slots, sleep periods and backoff waiting time lengths of the wireless sensing node in multi-node networking communication.

[0006] In a second aspect, the present application further provides a device low-power consumption control system based on wireless sensing, comprising: a modeling module configured to perform energy consumption modeling on a radio frequency transmitting circuit of a wireless sensing node to obtain a power control factor set for describing energy consumption behavior of a power amplifier in the radio frequency transmitting circuit; a configuration module configured to perform bias intelligent control on the power amplifier according to the power control factor set to obtain an adaptive bias voltage configuration set under various input signal power conditions; An instruction generation module is used to perform polling protocol synchronization processing on the wireless communication module of the wireless sensor node according to the adaptive bias voltage configuration set, and obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, so as to control the transmission time slot, sleep period and backoff waiting time of the wireless sensor node in multi-node networking communication.

[0007] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above steps when executing the computer program.

[0008] In a fourth aspect, the present application further provides a computer-readable storage medium on which a computer program is stored, and the computer program implements the above steps when executed by a processor.

[0009] The above-mentioned low-power consumption control method, system, computer device and computer-readable storage medium based on wireless sensing devices first perform energy consumption modeling on the radio frequency transmitting circuit of the wireless sensor node to construct a set of power control factors that describe the energy consumption behavior of the power amplifier, thereby providing a clear parameter basis for the dynamic power consumption control of the subsequent circuit; secondly, based on the power control factor set, the power amplifier is subjected to intelligent bias control, and voltage adaptation rules under different input signal power conditions are established, thereby forming a structured adaptive bias voltage configuration set, providing a reliable basis for the circuit to achieve hierarchical power supply response; thirdly, based on the adaptive bias voltage configuration set, the wireless communication module of the wireless sensor node is synchronized by a polling protocol to obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, thereby realizing the refined management of the time control parameters of the node in multi-node network communication; based on this, through the coordinated action of energy consumption modeling, intelligent bias control and communication scheduling, a structured low-power consumption control strategy of the wireless sensor node under dynamic input signal power conditions is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 1 is a flow chart of a method for controlling low power consumption of a device based on wireless sensing in one embodiment; Figure 2 FIG. 1 is a structural block diagram of a low-power consumption control system for a device based on wireless sensing in one embodiment. DETAILED DESCRIPTION

[0012] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0013] In one embodiment, Figure 1 As shown, a method for controlling low power consumption of a device based on wireless sensing is provided. This embodiment uses the method applied to a server as an example. It is understood that the method can also be applied to a terminal, or to a system including a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps S101 to S103.

[0014] Step S101 : performing energy consumption modeling on a radio frequency transmitting circuit of a wireless sensor node to obtain a set of power control factors for describing energy consumption behavior of a power amplifier in the radio frequency transmitting circuit.

[0015] Among them, wireless sensor nodes refer to embedded terminal devices with data acquisition, processing and wireless communication functions, which are used to collect physical quantities in the monitoring area and report data wirelessly, such as temperature and humidity sensor nodes used for environmental monitoring.

[0016] Among them, the RF transmitting circuit refers to the circuit module used to convert the processed digital signal into high-frequency radio waves and transmit them to realize wireless communication function; the power amplifier refers to the circuit unit in the RF transmitting circuit used to amplify the low-power RF signal to sufficient strength for antenna transmission.

[0017] Among them, the energy consumption behavior of the power amplifier represents the power consumption pattern and law of the power amplifier under different working conditions, which is used to guide energy consumption modeling and control strategy formulation. For example, in the high-power transmission state, its energy consumption increases significantly, showing a nonlinear growth characteristic with the increase of input signal power.

[0018] The power control factor set represents a set of key parameters that affect the power consumption level of the power amplifier, and is used to model and adjust its power supply behavior and transmission efficiency, including input signal power threshold, bias voltage parameters, and harmonic modulation parameters.

[0019] The input signal power threshold represents the limit value for dividing the input signal power range into several control levels, used to trigger the switching of different control strategies, for example, setting -10 dBm and 0 dBm as two thresholds for controlling low, medium and high three working modes; the bias voltage parameter represents the working voltage supplied to the power amplifier, used to control its working interval and power output behavior, for example, setting 1.8V when transmitting at low power and setting 2.5V when transmitting at high power; the harmonic modulation parameter represents the parameter setting associated with the spectral characteristics under different modulation modes, used to coordinate the frequency response relationship between the power amplifier output signal and the modulation signal, for example, configuring a higher filtering precision parameter to suppress harmonic interference when using amplitude shift keying (ASK).

[0020] Exemplarily, first, the energy consumption modeling process of the radio frequency transmitting circuit of the wireless sensor node is performed, and the core purpose is to clarify the power consumption behavior of the power amplifier under various operating conditions on the basis of analyzing the energy consumption composition in the radio frequency transmitting circuit. Among them, the modeling process takes the power amplifier as the main research object, combines the driving level, input signal power size, bias voltage setting, modulation mode and other parameters in the radio frequency signal transmission process for quantitative analysis, and functionally induces the energy consumption relationship between these parameters, thereby constructing a power control factor set for describing the power consumption trend of the power amplifier, and the power control factor set includes input signal power threshold, bias voltage parameter and harmonic modulation parameter.

[0021] Step S102, performing bias intelligent control processing on the power amplifier according to the power control factor set, to obtain an adaptive bias voltage configuration set under various input signal power conditions.

[0022] Among them, the input signal power condition represents the numerical interval of the power size of the input signal currently received by the radio frequency transmitting circuit.

[0023] Among them, the adaptive bias voltage configuration set represents a set of bias voltage configuration parameters dynamically matched according to different input signal power conditions, used to control the power supply state and harmonic control state of the power amplifier under dynamic input signal power conditions, for example, the adaptive bias voltage configuration set can contain a voltage configuration comparison table such as "bias 1.8V in low power state, bias 2.2V in medium power state, bias 2.6V in high power state", to support the automatic response of the power amplifier to input changes.

[0024] The power supply state represents the voltage and current level provided by the power supply circuit and the on-off control state in the current working process of the power amplifier, and is used to reflect whether it is in full power, energy saving or hibernation and other running stages. For example, when the power supply state is "low voltage and low current", it means that the power amplifier is in energy saving standby mode.

[0025] The harmonic control state represents the working adjustment state related to the harmonic component in the power amplifier output spectrum, and is used to adjust the spectral purity and modulation mode compatibility of the output signal. For example, in high data rate transmission, the harmonic suppression mechanism is enabled to reduce the interference caused by spectral expansion, and at this time the harmonic control state is "open high-order filter compensation".

[0026] Exemplarily, first, compare the power conditions of various input signals with the input signal power thresholds in the power control factor set, select the appropriate voltage value from the voltage configuration table according to the bias voltage parameters corresponding to the power interval of each type of input signal power condition, and apply it to the bias end of the power amplifier to adjust its working state; wherein the biasing process is dynamically switched according to the signal strength, thereby forming a matching pair between the input power and the bias voltage. At the same time, combined with the corresponding modulation configuration parameters, the spectral characteristics of the power amplifier output signal are properly adjusted to ensure that its working state adapts to different transmission requirements. Finally, all the bias voltage parameters and harmonic modulation parameters under different input signal power conditions are formed into a structured combination to form an adaptive bias voltage configuration set.

[0027] Furthermore, in the generation process, various actual working condition constraints such as circuit heat consumption, nonlinear distortion risk, power supply interference tolerance, etc. need to be considered comprehensively to ensure that the switching of the bias voltage can cover the entire input power variation range and meet the dual requirements of stable emission and low power consumption.

[0028] Step S103, according to the adaptive bias voltage configuration set, the wireless communication module of the wireless sensor node is processed for polling protocol synchronization, and the low-power communication scheduling instruction set based on the time quasi-synchronization mechanism and the dynamic hibernation strategy is obtained, to control the transmission time slot, hibernation period and backoff waiting time of the wireless sensor node in multi-node networking communication.

[0029] The wireless communication module represents the communication function unit integrated in the wireless sensor node, which is used to realize the data sending and receiving operation with other nodes or gateways, such as sending the collected temperature and humidity information to the designated processing unit by radio frequency.

[0030] The time reference synchronization mechanism means that each wireless sensor node adopts a unified time reference for scheduling in the communication process, which is used to ensure that each node operates in coordination with a unified rhythm, for example, by periodically broadcasting a time signal by the master node to calibrate the local clock of all nodes.

[0031] The dynamic sleep strategy means that the node working and sleep period is dynamically adjusted according to the communication load, energy consumption state or transmission frequency, etc., which is used to reduce power consumption while meeting the communication demand, for example, the sleep time of the node is prolonged to reduce energy consumption when the data update frequency is low.

[0032] The low-power communication scheduling instruction set means a set of control instructions for guiding the wireless sensor node to enter a specific transmitting, receiving, sleeping or waiting state under low-power conditions.

[0033] The multi-node networking communication means that multiple wireless sensor nodes jointly form a communication network and cooperatively transmit information, which is used to expand the coverage and realize integrated management of data.

[0034] The transmission time slot means the time period allocated for a specific node to send data in the communication schedule, which is used to avoid signal conflict between nodes; the sleep period means the time period when the node enters a non-working state and shuts down most circuits to save energy in the communication cycle, which is used to reduce the average energy consumption level; the backoff waiting time means the time interval for the node to wait for retry transmission in the case of communication conflict or channel occupation, which is used to avoid repeated conflict.

[0035] Exemplarily, the polling protocol synchronization process is performed on the wireless communication module according to the adaptive bias voltage configuration set, which aims to build a scheduling control strategy that meets the low-power communication demand; wherein in the process, first, the bias voltage configuration is parameter-bound with the task scheduling mechanism of the wireless communication module, that is, it is clear that under a certain input signal power condition, the wireless communication module should adopt what combination scheme of sleep period, wake-up frequency and transmission period. On this basis, the control logic matched with the time reference synchronization mechanism is established to ensure that in the multi-node networking communication environment, each node can synchronize tasks according to a unified time reference, so as to avoid resource waste caused by overlapping of communication time slots or polling conflict; wherein the establishment of the time reference synchronization mechanism includes the definition of the global time reference, the calibration rule of the node local clock, the allocation order of the scheduling window, etc., through the definition and matching of the above contents, a communication time slot arrangement strategy with deterministic structure is formed.

[0036] Meanwhile, according to the adaptive bias voltage configuration set, further buffering control is performed on the energy consumption behavior of the wireless sensor node under the dynamic input signal power condition, that is, a backoff waiting time parameter is added, so that when a communication conflict occurs, the node can adaptively select an appropriate waiting interval under different input signal power conditions to avoid energy consumption accumulation. Finally, through the process, a low-power communication scheduling instruction set for controlling the parameter configuration of the transmission time slot, sleep period and backoff waiting time of the wireless sensor node in the multi-node networking communication environment is generated, which comprehensively covers multiple time control parameter dimensions of low-power operation.

[0037] In the above-mentioned low-power control method for wireless sensor-based equipment, first, the energy consumption of the radio frequency transmission circuit of the wireless sensor node is modeled to construct a power control factor set for describing the energy consumption behavior of the power amplifier, thereby providing a clear parameter basis for subsequent dynamic power consumption control of the circuit; second, intelligent control of the power amplifier is performed according to the power control factor set to establish voltage adaptation rules under different input signal power conditions, thereby forming a structured adaptive bias voltage configuration set to provide a reliable basis for the implementation of hierarchical power supply response of the circuit; third, the wireless communication module of the wireless sensor node is subjected to polling protocol synchronization processing according to the adaptive bias voltage configuration set to obtain a low-power communication scheduling instruction set based on the time quasi-synchronization mechanism and dynamic sleep strategy, thereby realizing fine management of the time control parameters of the node in multi-node networking communication; based on this, through the synergistic effect of energy consumption modeling, intelligent bias control and communication scheduling, a structured low-power control strategy for the wireless sensor node under dynamic input signal power conditions is realized.

[0038] In one exemplary embodiment, the energy consumption of the radio frequency transmission circuit of the wireless sensor node is modeled to obtain a power control factor set for describing the energy consumption behavior of the power amplifier in the radio frequency transmission circuit, including steps S201 to S203.

[0039] Step S201, time domain sampling processing is performed on the power amplifier under multiple input signal power conditions to obtain a three-element power response data set corresponding to the input voltage, input current and radio frequency output power under different input signal power conditions, to describe the nonlinear mapping relationship between input excitation intensity and power amplifier energy consumption state.

[0040] Among them, the three-element power response data set represents a data set composed of input voltage value, input current value and output radio frequency power value, which is used to describe the energy input and output state of the power amplifier under different input signal power conditions, for example, a group of records in the data set can be (2.2V, 25mA, 8dBm).

[0041] The nonlinear mapping relationship between the input excitation intensity and the power amplifier energy consumption state indicates that the change of the input signal power is not proportional to the power amplifier energy consumption characteristics, but different power consumption fluctuation rules appear with the change of the input excitation intensity, which is used to reveal the complex energy consumption behavior of the power amplifier under different input excitations, for example, the energy consumption grows slowly at low power input, and presents obvious jump increase at medium and high power input.

[0042] Exemplarily, a plurality of input signal power conditions are taken as modulation variables, that is, a plurality of preset input signal powers in various input signal power conditions are applied to the input end of the power amplifier one by one, and the input voltage, the input current and the corresponding radio frequency output power under each input signal power are sampled and recorded; the sampling results are saved in the form of time sequence, and combined with the label of the input signal power to form a three-element power response data set, which reflects the correlation between the actual load state of the power supply end of the power amplifier and the output response under different input excitation conditions. Each group of data takes the input power, the input voltage, the input current and the output power as basic elements, and through this way, not only the input and output characteristic curves of the power amplifier device can be accurately described, but also the continuity description of the energy consumption state changing with the input excitation can be established.

[0043] In step S202, the three-element power response data set is subjected to multi-dimensional classification processing to obtain a plurality of power consumption clustering regions, each power consumption clustering region representing the power consumption stability and the bias voltage control sensitivity of the power amplifier in a corresponding input signal power interval.

[0044] The power consumption clustering region represents a characteristic numerical region obtained according to the energy consumption characteristics similarity of the input voltage, the input current and the radio frequency output power of the power amplifier, and is used to reflect the energy consumption behavior and the control sensitivity of the power amplifier under a specific input power interval, for example, the samples of a certain characteristic numerical region correspond to the input power between-5dBm and 0dBm, and have significant power consumption fluctuation to the bias voltage adjustment, which represents a high control sensitivity region.

[0045] The power consumption stability of the input signal power interval indicates whether the power consumption change of the power amplifier remains in a small fluctuation range when the input power changes in a certain range, and is used to evaluate whether the interval is suitable for stable working state.

[0046] The bias voltage control sensitivity of the input signal power interval indicates the response strength of the output state of the power amplifier to the change of the bias voltage when the input power changes in a certain range, and is used to evaluate the influence degree of the adjusting voltage on the energy consumption or the output effect in the interval.

[0047] Exemplarily, in the ternary power response dataset, the data samples with similar current, voltage and output power coupling relationship are clustered and identified based on the energy consumption performance characteristics between the data, so as to better understand the energy consumption law of the power amplifier under different working conditions. In the processing, the data samples with similar current, voltage and output power coupling relationship are clustered and identified, so as to realize the fitting identification of the nonlinear trend between different input signal power and power consumption, thereby dividing the response intervals corresponding to the highly stable or jump characteristics in different input signal power intervals, which are the power consumption clustering areas. Each power consumption clustering area shows obvious energy consumption stability and bias voltage control sensitivity in the power amplifier response behavior in the corresponding input signal power interval. Based on this, the power consumption clustering area divided in this way can intuitively reflect the power amplifier adjustment difficulty and power consumption response degree in different input signal power intervals, that is, the power consumption stability and bias voltage control sensitivity in the corresponding input signal power interval.

[0048] In step S203, function approximation processing is performed on the bias control parameter space of the power amplifier according to the power consumption clustering area, to obtain an optimal bias voltage parameter combination respectively matching each power consumption clustering area, and a power control factor set is formed based on the optimal bias voltage parameter combination.

[0049] The bias control parameter space represents a parameter set composed of all bias voltage setting values for adjusting the working state of the power amplifier, which is used to select a suitable driving voltage under different input signal power conditions, for example, a bias voltage setting range arranged in steps of 0.1V from 1.5V to 2.8V, which is used to provide selectable driving levels for the power amplifier under different power consumption requirements.

[0050] The optimal bias voltage parameter combination represents the bias voltage setting value matched with each power consumption clustering area and achieving a balance between energy consumption stability and output performance, which is used to guide the power amplifier to select the most suitable power supply level under specific input conditions, for example, the optimal bias voltage setting matched with a certain power consumption clustering area is 2.1V, which can guarantee the output power while avoiding a sharp increase in energy consumption.

[0051] Exemplarily, firstly, the sample data in each power consumption clustering area is analyzed for features, the mean and fluctuation interval of the voltage-current-output power response generated under a specific bias voltage setting are extracted, and a function relationship model between the bias voltage change and the energy consumption performance in the power consumption clustering area is constructed; wherein, a continuous curved surface or a segmented linear function can be used to fit the bias control parameter space to find the bias voltage setting value in each power consumption clustering area that can maintain stable output, low energy consumption and sensitive response control. After the fitting is completed, the optimal bias voltage parameter combination is extracted from the function mapping, that is, it can guide the power amplifier to be in the appropriate voltage configuration under each type of input signal power condition. These combinations finally form a power control factor set, which contains the information structure of three dimensions of input power label, corresponding bias voltage parameter and regulation response characteristics, and can provide clear target and accurate parameter basis for the entire bias control process.

[0052] In this embodiment, firstly, time domain sampling processing is performed on the input voltage, input current and radio frequency output power of the power amplifier under multiple input signal power conditions, thereby establishing a three-element power response data set that can be used to depict the nonlinear relationship between input excitation and power consumption state; secondly, multi-dimensional classification processing is performed on the three-element power response data set, thereby extracting power consumption clustering areas that can represent the energy consumption characteristics under different input signal power intervals, providing data partition basis for bias control; thirdly, function approximation processing is performed on the bias control parameter space according to the power consumption clustering area, thereby obtaining the optimal bias voltage parameter combination that can simultaneously consider energy consumption control and output performance; based on this, a power amplifier energy consumption modeling process based on data collection, clustering analysis and parameter fitting is constructed, which provides a power control factor set with clear structure and predictable behavior for subsequent low-power bias control strategy.

[0053] In one exemplary embodiment, bias intelligent control is performed on the power amplifier according to the power control factor set, obtaining an adaptive bias voltage configuration set under various input signal power conditions, including steps S301 to S303.

[0054] Step S301, performing traversal processing on the input signal intensity of the power amplifier under multiple input signal power conditions, obtaining an input signal intensity parameter set corresponding to different input signal power conditions.

[0055] Among them, the input signal intensity parameter set represents a set of input signal amplitude characteristic parameters extracted through traversal analysis under multiple input signal power conditions, which is used to establish the index basis between the input signal and the bias control response in the control process.

[0056] Exemplarily, each input signal power condition corresponds to an input power range, and the amplitude characteristic parameters of the input signal are extracted under each input signal power condition, and an input signal strength parameter set corresponding to different input signal power conditions is constructed; each item in the set represents a signal amplitude index corresponding to an input signal power condition, which is used as an index reference in the subsequent bias control logic.

[0057] In step S302, interval matching processing is performed on the power control factor set according to the input signal strength parameter set, to obtain a plurality of configuration combinations of bias voltage parameters and harmonic modulation parameters corresponding to different input signal power conditions, each configuration combination being used to regulate the power supply state and harmonic control state of the power amplifier.

[0058] The power supply state of the power amplifier represents the power supply driving condition of the power amplifier, including whether the applied bias voltage and power supply are in the enabling, inhibiting or switching stage; the harmonic control state of the power amplifier represents the harmonic modulation condition of the power amplifier, including the modulation form and harmonic energy distribution of the radio frequency output signal.

[0059] Exemplarily, in the input signal strength parameter set, the amplitude characteristic parameters corresponding to each input signal power condition are jointly compared with the bias voltage parameters and harmonic modulation parameters in the power control factor set, and a mapping relationship is constructed; in this matching process, by judging the signal strength interval of the amplitude characteristic parameters, the bias voltage parameters and harmonic modulation parameters in the power control factor set that match the signal strength interval are selected, to generate a configuration combination that can be used to drive the power supply state and harmonic control state of the power amplifier. Combined with the numerical conversion relationship between the signal strength interval and the input signal power interval, these configuration combinations not only define the bias voltage parameters to be taken under a specific input signal power condition, but also contain the harmonic modulation parameters matched therewith, which are used to adjust the spectral characteristics of the output signal. Each configuration combination reflects a response logic between input driving and power supply adjustment, and the integrity thereof ensures that timely and effective power supply and output control adjustment can be made in response to changes in environmental excitation during the operation of the power amplifier.

[0060] In step S303, structured integration processing is performed on each configuration combination, to obtain an adaptive bias voltage configuration set under various input signal power conditions, the adaptive bias voltage configuration set including bias voltage parameter sets and harmonic modulation parameter sets for different input signal power conditions.

[0061] The bias voltage parameter set represents a set of bias voltage parameters for controlling the power supply voltage of the power amplifier under different input signal power conditions; and the harmonic modulation parameter set represents a set of harmonic modulation parameters for controlling the output modulation form and spectral distribution of the power amplifier under different input signal power conditions.

[0062] Exemplarily, all the matched configuration combinations are ordered and integrated according to the corresponding input signal power intervals, and an index mapping structure between the input signal power conditions and the configuration combinations is established, that is, an adaptive bias voltage configuration set. Through this structured integration, the generated adaptive bias voltage configuration set not only has a clear parameter framework in form, but also has a condition-aware and response-consistent linkage ability in function; each bias voltage parameter set and harmonic modulation parameter set in the adaptive bias voltage configuration set corresponds to an input signal power condition, so that the adaptive bias voltage configuration set can be used as an index mapping structure driven by input in actual application, and directly supports the power amplifier to automatically switch the control strategy according to external excitation.

[0063] In this embodiment, first, the input signal strength parameter set for regulating the index is established according to the input signal strength traversal processing of the power amplifier under multiple input signal power conditions, so as to realize the explicit mapping entry between the input excitation and the control parameter; second, the bias voltage parameters and the harmonic modulation parameters of the configuration combination covering various input signal power conditions are constructed by performing interval matching processing on the power control factor set according to the input signal strength parameter set, so as to provide a response basis for adjusting the power supply and output form of the power amplifier; third, the adaptive bias voltage configuration set with classification response ability under input driving is formed by performing structured integration processing on each configuration combination; based on this, the control link from input recognition to parameter matching to strategy integration is realized, and the ability structure of real-time adaptive regulation and control of the power amplifier according to the input power is provided.

[0064] In an exemplary embodiment, the structured integration processing is performed on each configuration combination to obtain the adaptive bias voltage configuration set under various input signal power conditions, including steps S401 to S402.

[0065] In step S401, the associated mapping of each configuration combination is performed to obtain a parameter mapping structure with the input signal power condition as the index dimension, and the parameter mapping structure is used to organize the associated relationship between the bias voltage parameters and the harmonic modulation parameters under different input signal power conditions.

[0066] The parameter mapping structure is an index system in which the corresponding combination of bias voltage parameters and harmonic modulation parameters is organized in a unified data framework with the input signal power condition as the main index dimension, and is used to realize the fast mapping relationship between the input signal power condition and the control parameters.

[0067] Exemplarily, the structured mapping relationship between each input signal power condition and its corresponding bias voltage parameters and harmonic modulation parameters is established with the input signal power condition as the main index dimension. First, all configuration combinations are sorted according to their input signal power conditions to ensure that each main index node in the mapping structure corresponds to only one input signal power interval and binds a unique configuration combination in the interval. Then, the bias voltage parameters and the harmonic modulation parameters are embedded into the main index node in the form of associated fields, so that the entire mapping structure has a two-level index logic, i.e., the top-level index corresponds to the input signal power condition, and the bottom-level fields correspond to the bias voltage parameters and the harmonic modulation parameters required for control, respectively. Through this processing process, the original configuration combination is reorganized into a response set based on input driving, forming a logically complete and clear parameter mapping structure. This parameter mapping structure not only solves the positioning problem of the configuration combination when the input signal power condition is switched, but also provides a fast search path for subsequent control instruction calls, and avoids the occurrence of configuration conflicts and repeated definitions through a clear data structure.

[0068] In step S402, the parameter mapping structure is subjected to index normalization processing to obtain a bias configuration mapping set containing bias voltage parameter sets and harmonic modulation parameter sets corresponding to multiple input signal power intervals, and the bias configuration mapping set is used as an adaptive bias voltage configuration set under various input signal power conditions.

[0069] The bias configuration mapping set is a data set in which multiple input signal power intervals are used as index primary keys, and each interval corresponds to a specific bias voltage parameter set and a harmonic modulation parameter set.

[0070] Exemplarily, the parameter mapping structure is subjected to index normalization processing to improve the scheduling efficiency and system compatibility of the structure in actual control application, wherein: firstly, the interval boundaries of the input signal power condition are rechecked, and the boundary values are accurately delimited as discrete intervals, so as to ensure that each input signal power interval can be uniquely identified in physical measurement, and to avoid control ambiguity problems caused by input fluctuation; further, the bias voltage parameter set and the harmonic modulation parameter set corresponding to all input signal power intervals are stored in a unified field order, and a standardized field label is embedded in the storage structure, so as to ensure that the subsequent program is not affected by the difference in field name and order in the reading process. Based on the above processing process, all configuration combinations are reorganized into a bias configuration mapping set containing the bias voltage parameter set and the harmonic modulation parameter set corresponding to multiple input signal power intervals.

[0071] In the embodiment, firstly, the associated mapping processing is performed on each configuration combination, and a parameter mapping structure with input signal power condition as index dimension is constructed, so as to realize the ordered corresponding relationship between the bias voltage parameter and the harmonic modulation parameter; further, the index normalization processing is performed on the parameter mapping structure, and a bias configuration mapping set with unified format and clear interval boundary is generated, so as to ensure the fast retrieval and consistent calling of the control instruction under the change of input power; based on this, by establishing the index clear and format unified adaptive bias voltage configuration set, a parameter support system with complete structure and real-time response is provided for the dynamic power supply control of the power amplifier.

[0072] In one exemplary embodiment, the wireless communication module of the wireless sensor node is subjected to polling protocol synchronization processing according to the adaptive bias voltage configuration set, and a low-power communication scheduling instruction set based on time quasi-synchronization mechanism and dynamic sleep strategy is obtained, including steps S501 to S503.

[0073] Step S501, clock synchronization processing is performed on the wireless sensor node, and a clock deviation calibration parameter based on a preset reference node broadcast signal is obtained, and a unified communication time base is constructed under multi-node networking communication based on the clock deviation calibration parameter.

[0074] The reference node broadcast signal represents a synchronization signal periodically emitted by a selected clock reference node in multi-node networking communication, and is used to provide a unified time reference for each wireless sensor node.

[0075] The clock deviation calibration parameter represents a correction value calculated by comparing the time difference between the local node clock and the reference node broadcast signal, and is used to correct the time drift of the local clock.

[0076] The communication time base represents a unified communication time reference framework established after clock calibration of all wireless sensor nodes, and is used to coordinate data transceiving scheduling of each wireless sensor node under the same time reference.

[0077] Exemplarily, in order to realize unified scheduling among wireless sensor nodes in a multi-node networking communication environment, the local clock of the wireless communication module needs to be calibrated. The process takes the reference node broadcast signal broadcast by the clock reference node as the reference, measures the time difference between the local clock and the reference node broadcast signal, extracts the clock deviation calibration parameter, receives the synchronization signal periodically sent by the clock reference node in each communication period, and calculates the clock drift, i.e. the clock deviation calibration parameter, by comparing the offset between the received time and the local clock record value. The clock deviation calibration parameter is used as a calibration parameter to adjust the local timer, so that the node internal time reference is consistent with the network global reference. After clock offset correction at the node level, each node will construct a communication time base based on the unified time reference as the basic timing framework for subsequent communication scheduling operations.

[0078] In step S502, the communication time base is divided into time slots according to the adaptive bias voltage configuration set, and a communication transmission time slot allocation table corresponding to the adaptive bias voltage configuration set in each communication period is obtained, which is used to control the activation state of the wireless communication module in each communication time slot.

[0079] The communication transmission time slot allocation table represents a table of communication transmission time periods allocated to the wireless sensor node, and is used to guide whether the wireless sensor node enters a communication state in a specific time slot.

[0080] The activation state of the wireless communication module in each communication time slot represents whether the wireless communication module is in an enabled state in each time slot in the communication period, and is used to control whether the wireless sensor node performs data sending or receiving operation.

[0081] Exemplarily, based on the constructed unified communication time base, it is necessary to divide the time slot resources in the communication period to match the previously generated adaptive bias voltage configuration set, wherein: first, the entire period is divided into several equal time slot units in the unit of communication period; then, according to the bias voltage parameters and harmonic modulation parameters corresponding to each input signal power condition in the adaptive bias voltage configuration set, the activation requirements of the wireless communication module under each type of input signal power condition are analyzed, and appropriate communication time slots are allocated to it; the allocation operation is based on the principles of avoiding conflict and ensuring response, ensuring that the communication task with high power state occupies the network resource first, and at the same time reserving a flexible activation window for the communication task in the low power state. The finally generated communication transmission time slot allocation table is a structured scheduling resource table, which defines the activation time window of the wireless sensor node under different input signal power conditions and the parameter index of the corresponding bias configuration in each communication period, which is used to guide the transmission behavior scheduling of the wireless sensor node under power coordination based on meeting the synchronization mechanism.

[0082] Step S503, in combination with the communication transmission time slot allocation table and the adaptive bias voltage configuration set, the communication state scheduling processing of the wireless communication module is performed to obtain a low-power communication scheduling instruction set.

[0083] Exemplarily, after obtaining the communication transmission time slot allocation table, the working state of the wireless communication module needs to be finely scheduled in combination with the structure content and the configuration combination defined in the adaptive bias voltage configuration set, wherein: the processing process takes the communication period as the scheduling unit, before the start of each communication period, the corresponding configuration combination is retrieved in the adaptive bias voltage configuration set according to the current input signal power condition, and the matching communication time slot is found in the communication transmission time slot allocation table according to the configuration combination; then, the wireless communication module is activated or closed according to the found communication time slot, and the power supply state of the power amplifier is controlled according to the setting of the bias voltage in each activation period, and the corresponding harmonic modulation parameter is enabled to adjust the output signal. Moreover, in the non-allocated time slot, the wireless communication module is switched to the low-power sleep state to avoid invalid energy consumption accumulation. Based on this, the scheduling result completed through this process constitutes a low-power communication scheduling instruction set.

[0084] In the embodiment, firstly, the clock synchronization processing of the wireless sensor node is performed, a unified communication time base is constructed, and it is ensured that each node has consistent time reference in multi-node networking communication; secondly, the time slot division processing of the communication time base is performed according to the adaptive bias voltage configuration set, a communication transmission time slot allocation table reflecting the activation demand under the power condition of each type of input signal is generated, and the accurate deployment of communication resources is realized; thirdly, the state scheduling processing of the wireless communication module is performed in combination with the communication transmission time slot allocation table and the adaptive bias voltage configuration set, and the communication scheduling instruction set supporting the low-power operation is formed; based on this, the energy-saving timing scheduling mechanism of the wireless communication module in multi-node networking communication is realized by constructing the unified timing, allocating the time slot on demand and finely controlling the state.

[0085] In an exemplary embodiment, the communication state scheduling processing of the wireless communication module is performed in combination with the communication transmission time slot allocation table and the adaptive bias voltage configuration set, and the low-power communication scheduling instruction set is obtained, including steps S601 to S603.

[0086] Step S601, joint analysis processing of the communication transmission time slot allocation table and the adaptive bias voltage configuration set is performed, and the transmission power state identifier and the power supply state identifier corresponding to each communication time slot in each communication period are obtained.

[0087] The transmission power state identifier represents the logical judgment mark of whether data transmission is needed in the communication time slot, and is used to judge whether the wireless communication module enters the active state in the communication scheduling; the power supply state identifier represents the power supply voltage level or power supply strategy that the power amplifier should adopt in the current communication time slot, and is used to control the bias voltage applied by the wireless communication module during transmission.

[0088] Exemplarily, firstly, the communication time slots divided in each communication period are scanned one by one with time as the main axis, and the input signal power condition index bound thereto is extracted in each communication time slot. Subsequently, the bias voltage parameter and the harmonic modulation parameter corresponding to the index in the adaptive bias voltage configuration set are found, and two state identifiers are generated accordingly: one is the transmission power state identifier, which is used to represent whether the wireless communication module needs to be in the active state under the current communication time slot; the other is the power supply state identifier, which is used to describe the bias voltage parameter and the harmonic modulation parameter that the power amplifier should apply under the communication time slot.

[0089] Step S602, multi-level matching of the communication state of the wireless communication module is performed according to the transmission power state identifier and the power supply state identifier, and the communication mode instruction group corresponding to the transmission operation, the sleep operation and the retreat operation is obtained.

[0090] The communication mode instruction set represents a set of control instructions for controlling the behavior of the wireless communication module in a specific communication time slot, i.e., a set of instructions for instructing the wireless communication module to perform a transmitting operation, a dormant operation or a backoff operation; the transmitting operation represents driving the wireless communication module into an active state to perform a data transmitting task, the dormant operation represents driving the wireless communication module into a dormant state to maintain a minimum power consumption operation, and the backoff operation represents driving the wireless communication module into a waiting state to avoid channel interference caused by simultaneous transmission due to communication conflict.

[0091] Exemplarily, whether the current communication time slot is in an active state is determined according to the transmitting power state identifier; if it is in the active state, the bias voltage parameter and the modulation parameter specified in the power supply state identifier are further called to generate a communication mode instruction set for performing the transmitting operation; if it is in a non-active state, whether the communication time slot is in a standby phase or a conflict avoidance phase is determined, and the bias voltage parameter and the modulation parameter specified in the power supply state identifier are called to generate a communication mode instruction set for performing the dormant operation in the standby phase or to generate a communication mode instruction set for performing the backoff operation in the conflict avoidance phase.

[0092] In step S603, the structured reorganization of the communication mode instruction set is performed to obtain a low-power consumption communication scheduling instruction set for a continuous communication cycle.

[0093] Exemplarily, in a time sequence organization manner, all the communication mode instruction sets in each communication cycle are arranged in order of the communication time slots to which they belong, and an instruction switching rule is established between the continuous communication cycles, so that the communication mode instruction sets between different communication cycles can be seamlessly connected. Furthermore, in the structural reorganization process, the communication mode instruction sets with repeated functions need to be merged and optimized to reduce the number of instructions and the instruction analysis burden, while the state change nodes of the key communication time slots are reserved to ensure the timeliness and accuracy of the state switching. Finally, the constructed low-power consumption communication scheduling instruction set is a control instruction set group for the whole process of the communication cycle, each instruction set is mapped to a specific communication time slot and an input signal power condition, and has a clear execution time and control behavior.

[0094] In this embodiment, firstly, the communication transmission time slot allocation table and the adaptive bias voltage configuration set are jointly analyzed and processed, the transmission power state identifier and the power supply state identifier corresponding to each communication time slot are constructed, so that the accurate matching between the communication state and the power supply demand is realized; secondly, the communication state of the wireless communication module is executed multi-level matching processing according to the transmission power state identifier and the power supply state identifier, so as to generate the communication mode instruction group covering the transmission, sleep and retreat of various running situations, and ensure that the wireless communication module has differentiated control strategy in different communication time slots; further, the structured reorganization processing is performed on the communication mode instruction group, so as to obtain the low-power communication scheduling instruction set for the continuous communication period, and realize the scheduling mechanism of the communication rhythm control and energy consumption management collaborative linkage of the wireless communication module.

[0095] In an exemplary embodiment, the communication transmission time slot allocation table and the adaptive bias voltage configuration set are jointly analyzed and processed to obtain the transmission power state identifier and the power supply state identifier corresponding to each communication time slot in each communication period, including steps S701 to S702.

[0096] Step S701, the communication time slot index extraction processing is performed on the communication transmission time slot allocation table, and the time slot index parameter set for identifying the start and end time periods of different communication time slots in each communication period is obtained. The bias configuration access mapping table corresponding to each communication time slot is constructed based on the time slot index parameter set.

[0097] Among them, the time slot index parameter set represents a parameter set for identifying the start and end time range and index number of each communication time slot in each communication period, for example, the set contains "time slot 1: start time is 0ms, end time is 10ms; time slot 2: start time is 10ms, end time is 20ms" and other structure information.

[0098] Among them, the bias configuration access mapping table represents a data mapping table that binds each communication time slot with the access path in the adaptive bias voltage configuration set corresponding to it, which is used to support the wireless communication module to quickly find the required bias voltage parameter and harmonic modulation parameter in the scheduling process, for example, the mapping table contains "time slot 1 corresponds to configuration combination A; time slot 2 corresponds to configuration combination B" and other access rules.

[0099] Exemplarily, the communication transmission time slot allocation table is structured and parsed, and boundary information of communication time slot arrangement in each communication period is extracted, that is, a communication time slot index extraction process is performed. The process scans the time slot number, start and end time and allocation attribute defined by each record item in the communication transmission time slot allocation table in units of communication periods, and converts these time parameters into a structured time slot index parameter set. Each index element in the time slot index parameter set includes the corresponding time slot number and its corresponding start time and end time tags. Subsequently, based on the time slot index parameter set, a bias configuration access mapping table is constructed in the data structure. The bias configuration access mapping table is used to record the bias configuration information access path required by each communication time slot in actual operation. The bias configuration access mapping table takes the time slot number as the primary key and the index identifier required to access each configuration combination of the adaptive bias voltage configuration set as the value. In this way, each communication time slot and its required bias voltage parameter and harmonic modulation parameter form an implicit binding relationship, thereby providing a clear structure entry for subsequent fast calling and matching processing of the configuration set.

[0100] In step S702, interval matching processing is performed on the adaptive bias voltage configuration set according to the bias configuration access mapping table, and the transmission power state identifier and the power supply state identifier corresponding to each communication time slot are obtained.

[0101] Exemplarily, based on the bias configuration access mapping table, interval matching processing is performed on the adaptive bias voltage configuration set to extract the control parameters required by each communication time slot and generate the corresponding transmission power state identifier and power supply state identifier. In this processing, first, according to the index information of each communication time slot in the bias configuration access mapping table, the matching configuration combination in the adaptive bias voltage configuration set is located, that is, the input signal power interval corresponding to the current communication time slot is determined, and the bias voltage parameter and harmonic modulation parameter bound under the input signal power interval in the adaptive bias voltage configuration set are found. Then, based on the found bias voltage parameter and harmonic modulation parameter, the corresponding transmission power state identifier and power supply state identifier are generated.

[0102] In this embodiment, firstly, according to the index extraction processing of the communication transmission time slot allocation table, a time slot index parameter set for identifying the start and end time periods of each communication time slot is constructed, and a bias configuration access mapping table associated with the adaptive bias voltage configuration set is generated, so as to realize the binding of the time slot scheduling information and the control parameters; further, according to the interval matching processing of the bias configuration access mapping table on the adaptive bias voltage configuration set, the corresponding transmission power state identifier and the power supply state identifier are generated for each communication time slot, so as to realize the time slot level identification of the control parameters; based on this, by constructing the mapping mechanism between the time slot index and the bias configuration, a time-based scheduling control path is established, which effectively supports the fine communication energy consumption management strategy under the timing driving.

[0103] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be alternately executed with at least part of other steps or steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiments of the present application also provide a wireless sensor-based device low-power consumption control system for implementing the above-mentioned wireless sensor-based device low-power consumption control method. The problem-solving implementation scheme provided by the system is similar to the implementation scheme described in the above method, so the specific limitations in one or more wireless sensor-based device low-power consumption control system embodiments provided below can refer to the limitations of the wireless sensor-based device low-power consumption control method described above, which will not be repeated here.

[0105] In one exemplary embodiment, as shown in Figure 2 A wireless sensor-based device low-power consumption control system is provided, comprising: a modeling module 201, a configuration module 202, and an instruction generation module 203, wherein: The modeling module 201 is configured to model the energy consumption of the radio frequency transmitting circuit of the wireless sensor node to obtain a power control factor set for describing the energy consumption behavior of the power amplifier in the radio frequency transmitting circuit; The configuration module 202 is configured to perform bias intelligent control on the power amplifier according to the power control factor set to obtain an adaptive bias voltage configuration set under various input signal power conditions; The instruction generation module 203 is configured to perform polling protocol synchronization processing on the wireless communication module of the wireless sensor node according to the adaptive bias voltage configuration set, to obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, so as to control the transmission time slot, sleep period, and backoff waiting time length of the wireless sensor node in multi-node networking communication.

[0106] In an exemplary embodiment, the modeling module 201 is further configured to: perform time domain sampling processing on the power amplifier under multiple input signal power conditions, to obtain a three-element power response data set of input voltage, input current, and radio frequency output power corresponding to different input signal power conditions, so as to describe the nonlinear mapping relationship between input excitation intensity and power amplifier energy consumption state; perform multi-dimensional classification processing on the three-element power response data set, to obtain a plurality of power consumption clustering regions, each power consumption clustering region representing the power consumption stability and bias voltage control sensitivity of the power amplifier in a corresponding input signal power interval; and perform function approximation processing on the bias control parameter space of the power amplifier according to the power consumption clustering region, to obtain an optimal bias voltage parameter combination matching each power consumption clustering region, and to group a power control factor set based on the optimal bias voltage parameter combination.

[0107] In an exemplary embodiment, the configuration module 202 is further configured to: perform traversal processing on the input signal intensity of the power amplifier under multiple input signal power conditions, to obtain an input signal intensity parameter set corresponding to different input signal power conditions; perform interval matching processing on the power control factor set according to the input signal intensity parameter set, to obtain a plurality of configuration combinations of bias voltage parameters and harmonic modulation parameters corresponding to different input signal power conditions, each configuration combination being used to regulate the power supply state and harmonic control state of the power amplifier; and perform structured integration processing on each configuration combination, to obtain an adaptive bias voltage configuration set under various input signal power conditions, the adaptive bias voltage configuration set including a bias voltage parameter set and a harmonic modulation parameter set for different input signal power conditions.

[0108] In an exemplary embodiment, the configuration module 202 is further configured to: perform associated mapping on each configuration combination, to obtain a parameter mapping structure with the input signal power condition as the index dimension, the parameter mapping structure being used to organize the associated relationship between the bias voltage parameters and the harmonic modulation parameters under different input signal power conditions; and perform index normalization processing on the parameter mapping structure, to obtain a bias configuration mapping set containing bias voltage parameter sets and harmonic modulation parameter sets corresponding to a plurality of input signal power intervals, the bias configuration mapping set being taken as the adaptive bias voltage configuration set under various input signal power conditions.

[0109] In an example embodiment, the instruction generation module 203 is further configured to: perform clock synchronization processing on the wireless sensor node, obtain a clock deviation calibration parameter based on a preset reference node broadcast signal, and construct a unified communication time base under multi-node networking communication based on the clock deviation calibration parameter; perform time slot division processing on the communication time base according to the adaptive bias voltage configuration set, and obtain a communication transmission time slot allocation table corresponding to the adaptive bias voltage configuration set in each communication period, so as to control the activation state of the wireless communication module in each communication time slot; and perform communication state scheduling processing on the wireless communication module in combination with the communication transmission time slot allocation table and the adaptive bias voltage configuration set, and obtain a low-power consumption communication scheduling instruction set.

[0110] In an example embodiment, the instruction generation module 203 is further configured to: perform joint analysis processing on the communication transmission time slot allocation table and the adaptive bias voltage configuration set, and obtain a transmission power state identifier and a power supply state identifier corresponding to each communication time slot in each communication period; perform multi-level matching on the communication state of the wireless communication module according to the transmission power state identifier and the power supply state identifier, and obtain a communication mode instruction group corresponding to the transmission operation, the sleep operation, and the retreat operation, respectively; and perform structured reorganization on the communication mode instruction group, and obtain a low-power consumption communication scheduling instruction set for consecutive communication periods.

[0111] In an example embodiment, the instruction generation module 203 is further configured to: perform communication time slot index extraction processing on the communication transmission time slot allocation table, and obtain a time slot index parameter set for identifying the start and end time periods of different communication time slots in each communication period; construct a bias configuration access mapping table corresponding to each communication time slot based on the time slot index parameter set; and perform interval matching processing on the adaptive bias voltage configuration set according to the bias configuration access mapping table, and obtain a transmission power state identifier and a power supply state identifier corresponding to each communication time slot.

[0112] The above-mentioned modules in the low-power consumption control system based on the wireless sensor device can be realized by software, hardware, and combinations thereof, in whole or in part. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned modules.

[0113] In an example embodiment, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps in any of the above-mentioned embodiments when executing the computer program.

[0114] In an embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps in any of the above-mentioned embodiments.

[0115] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0116] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0117] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A low-power consumption control method for equipment based on wireless sensing, characterized in that: The method comprises: Performing energy consumption modeling on a radio frequency transmission circuit of a wireless sensor node to obtain a set of power control factors for describing energy consumption behavior of a power amplifier in the radio frequency transmission circuit; performing intelligent bias control on the power amplifier according to the power control factor set to obtain a set of adaptive bias voltage configurations under various input signal power conditions; According to the adaptive bias voltage configuration set, the wireless communication module of the wireless sensor node is subjected to polling protocol synchronization processing to obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, so as to control the transmission time slot, sleep period and backoff waiting time of the wireless sensor node in multi-node networking communication.

2. The method according to claim 1, characterized in that The energy consumption modeling of the radio frequency transmission circuit of the wireless sensor node is performed to obtain a set of power control factors for describing the energy consumption behavior of the power amplifier in the radio frequency transmission circuit, including: Performing time-domain sampling processing on the power amplifier under various input signal power conditions to obtain a ternary power response data set of input voltage, input current, and radio frequency output power corresponding to the different input signal power conditions, so as to describe the nonlinear mapping relationship between the input excitation intensity and the energy consumption state of the power amplifier; Performing multi-dimensional classification processing on the ternary power response data set to obtain a plurality of power consumption cluster regions, each power consumption cluster region characterizing the power consumption stability and bias voltage control sensitivity of the power amplifier in a corresponding input signal power range; Function approximation processing is performed on the bias control parameter space of the power amplifier according to the power consumption clustering area to obtain an optimal bias voltage parameter combination that matches each power consumption clustering area respectively, and a power control factor set is formed based on the optimal bias voltage parameter combination.

3. The method according to claim 1, characterized in that The performing intelligent bias control on the power amplifier according to the power control factor set to obtain an adaptive bias voltage configuration set under various input signal power conditions includes: Performing traversal processing on the input signal strength of the power amplifier under various input signal power conditions to obtain a set of input signal strength parameters corresponding to different input signal power conditions; performing interval matching processing on the power control factor set according to the input signal strength parameter set to obtain a plurality of configuration combinations of bias voltage parameters and harmonic modulation parameters corresponding to different input signal power conditions, each configuration combination being used to regulate a power supply state and a harmonic control state of the power amplifier; A structured integration process is performed on each configuration combination to obtain an adaptive bias voltage configuration set under various input signal power conditions, wherein the adaptive bias voltage configuration set includes a bias voltage parameter set and a harmonic modulation parameter set for different input signal power conditions.

4. The method according to claim 3, characterized in that The structured integration process is performed on each configuration combination to obtain an adaptive bias voltage configuration set under various input signal power conditions, including: Performing association mapping on each configuration combination to obtain a parameter mapping structure with the input signal power condition as the index dimension, wherein the parameter mapping structure is used to organize the association relationship between the bias voltage parameters and the harmonic modulation parameters under different input signal power conditions; The parameter mapping structure is index-normalized to obtain a bias configuration mapping set including bias voltage parameter sets and harmonic modulation parameter sets corresponding to multiple input signal power intervals, and the bias configuration mapping set is used as an adaptive bias voltage configuration set under various input signal power conditions.

5. The method according to claim 1, characterized in that The step of performing polling protocol synchronization processing on the wireless communication module of the wireless sensor node according to the adaptive bias voltage configuration set to obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy includes: Performing clock synchronization processing on the wireless sensor nodes to obtain clock deviation calibration parameters based on a preset reference node broadcast signal, and constructing a unified communication time base in a multi-node network communication based on the clock deviation calibration parameters; performing time slot division processing on the communication time base according to the adaptive bias voltage configuration set to obtain a communication transmission time slot allocation table corresponding to the adaptive bias voltage configuration set in each communication cycle, so as to control the activation state of the wireless communication module in each communication time slot; In combination with the communication transmission time slot allocation table and the adaptive bias voltage configuration set, communication state scheduling processing is performed on the wireless communication module to obtain a low-power communication scheduling instruction set.

6. The method according to claim 5, characterized in that The step of combining the communication transmission time slot allocation table with the adaptive bias voltage configuration set to perform communication state scheduling processing on the wireless communication module to obtain a low-power communication scheduling instruction set includes: Performing a joint analysis process on the communication transmission time slot allocation table and the adaptive bias voltage configuration set to obtain a transmission power state identifier and a power supply state identifier corresponding to each communication time slot in each communication cycle; Performing multi-level matching on the communication state of the wireless communication module according to the transmit power state identifier and the power supply state identifier to obtain communication mode instruction groups corresponding to a transmit operation, a sleep operation, and a backoff operation, respectively; Structural reorganization is performed on the communication mode instruction group to obtain a low-power communication scheduling instruction set oriented to a continuous communication cycle.

7. The method according to claim 6, characterized in that The jointly analyzing the communication transmission time slot allocation table and the adaptive bias voltage configuration set to obtain a transmission power state identifier and a power supply state identifier corresponding to each communication time slot in each communication cycle includes: Performing communication time slot index extraction processing on the communication transmission time slot allocation table to obtain a time slot index parameter set for identifying the start and end time periods of different communication time slots in each communication cycle, and constructing a bias configuration access mapping table corresponding to each communication time slot based on the time slot index parameter set; The adaptive bias voltage configuration set is subjected to interval matching processing according to the bias configuration access mapping table to obtain a transmission power state identifier and a power supply state identifier corresponding to each communication time slot.

8. A low-power consumption control system for equipment based on wireless sensing, characterized in that: The system comprises: A modeling module, configured to perform energy consumption modeling on a radio frequency transmitting circuit of a wireless sensor node, and obtain a set of power control factors for describing energy consumption behavior of a power amplifier in the radio frequency transmitting circuit; a configuration module, configured to perform intelligent bias control on the power amplifier according to the power control factor set, to obtain an adaptive bias voltage configuration set under various input signal power conditions; An instruction generation module is used to perform polling protocol synchronization processing on the wireless communication module of the wireless sensor node according to the adaptive bias voltage configuration set, and obtain a low-power communication scheduling instruction set based on a time quasi-synchronization mechanism and a dynamic sleep strategy, so as to control the transmission time slot, sleep period and backoff waiting time of the wireless sensor node in multi-node networking communication.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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