Intelligent identification method and system based on energy-saving control

Abstract

The invention relates to the technical field of intelligent display, in particular to an intelligent identification method and system based on energy-saving control, and the method comprises the following steps: S1, collecting external environment parameters through a low-power-consumption sensor disposed in an intelligent identification device, the environment parameters comprising environment illumination intensity, a human body or object approach signal and equipment electric quantity information, and transmitting the environment illumination intensity to an intelligent identification device; the data of the environmental parameters are judged; the system can automatically adjust the display brightness and the refresh frequency according to the environment illumination, the target distance and the electric quantity, refresh according to the demand by combining the content priority, and automatically switch the working state and the dormant state according to the human body approaching, the timed task or the remote instruction; in the aspects of communication and energy management, the communication period and power consumption are adjusted in real time, energy self-balancing is achieved, and the service life of equipment is prolonged; in addition, the system periodically analyzes historical operation data and self-learns and optimizes control parameters, so that energy consumption is continuously reduced in long-term operation, display efficiency is improved, and performance stability is kept.

Description

Technical Field

[0001] This invention relates to the field of intelligent display technology, and specifically to an intelligent labeling method and system based on energy-saving control. Background Technology

[0002] With the development of smart cities and the Internet of Things, a large number of intelligent display terminals in public places and commercial scenarios need to operate for extended periods to provide real-time information. However, existing display systems suffer from high energy consumption, inflexible response, low display efficiency, and a lack of adaptive optimization.

[0003] The display brightness and refresh rate are fixed and not adjusted according to ambient light or user needs. The system cannot flexibly wake up or put into sleep mode based on human proximity, scheduled tasks, or remote commands. Static and dynamic information are not processed separately. Local refresh and priority scheduling are insufficient. Communication and power consumption regulation lack long-term data analysis and self-learning mechanisms, making it difficult to achieve continuous energy saving.

[0004] Therefore, there is an urgent need for an intelligent labeling method that can realize environmental perception, self-switching of states, adaptive display, energy management and long-term optimization, in order to solve the problems of insufficient energy saving and intelligence in existing technologies. Summary of the Invention

[0005] The purpose of this invention is to solve the problems in the prior art, such as fixed display brightness and refresh rate, failure to adjust according to ambient light or user needs, inability of the system to flexibly wake up or hibernate based on human proximity, timed tasks or remote commands, lack of distinction between static and dynamic information processing, insufficient local refresh and priority scheduling, lack of long-term data analysis and self-learning mechanisms for communication and power consumption adjustment, and difficulty in achieving continuous energy saving.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] This invention provides an intelligent signage method and system based on energy-saving control, comprising the following steps: S1, collecting external environmental parameters through a low-power sensor installed in the intelligent signage device, the environmental parameters including ambient light intensity, human or object proximity signals, and device power information, and judging the data of the environmental parameters;

[0008] S2. Determine the current operating status based on the environmental parameters. When a human body approaches, a timed signal, or a remote control command is detected, the control device switches from a low-power sleep state to a working state. When no trigger is detected for a long time or the battery level is lower than a set threshold, it automatically returns to the sleep state.

[0009] S3. In working mode, the display brightness and refresh rate are automatically adjusted according to the ambient light intensity and the distance to the detected target, and differentiated display is performed based on content priority: static information is maintained on electronic paper display, and dynamic information is refreshed locally as needed;

[0010] S4. Use a low-power communication network to interact with a remote server, cache and batch report identification data and energy consumption information, and dynamically adjust the communication frequency and device power allocation based on power detection and energy acquisition results.

[0011] S5. When the system is in low power or night mode, it implements energy-saving strategies to limit display and communication activities; when power is detected to be restored or a maintenance command is received, it automatically resumes normal operation.

[0012] Further, in step S1, the low-power sensor includes: an ambient light sensor, a passive infrared (PIR) human body detection sensor, a temperature and humidity sensor, a sound sensor, or a pressure sensor. The output signals from multiple sensors are weighted, fused, and logically judged. The sensor signal fusion expression is as follows:

[0013] ,in, The integrated perception score is the final score after fusion. For the first Normalized output of each sensor, For the first The weighting coefficients for each sensor The number of sensors must meet the following requirements. ,

[0014] Normalize the sensor dimensions to Interval:

[0015] ,

[0016] illumination Range of values Sound intensity scope If the PIR output is 0 / 1, you can directly take either 0 or 1. (Distance) Inverse normalization can be used:

[0017]

[0018] Further, in step S2, the current operating status is determined based on the environmental parameters:

[0019] Sleep mode: Most modules are powered off, with only low-power sensors remaining operational;

[0020] Operating status: The system is fully awake, allowing display, communication, and interaction;

[0021] The low-power sensors remain active while the system is in sleep mode. The system should wake up when any of the following conditions are met:

[0022]

[0023] in, This is a signal indicating that the human body is approaching. For timing signals, For remote commands;

[0024] When the system is in operation, if there is no human detection signal for an extended period of time... At the same time, and the fusion score And battery If the system is determined to be in an unmanned environment, it will enter hibernation mode. ;

[0025] If low battery is detected Then it will unconditionally enter hibernation to prevent over-discharge: ,in For battery information, Fusion perception score.

[0026] Furthermore, in step S3, when the system is in working state, in order to minimize energy consumption while ensuring information readability, the control device achieves dynamic adaptive control of display brightness, refresh rate and content update method by comprehensively judging the ambient light intensity, target distance and display content priority.

[0027] Ambient light intensity and target distance both affect the brightness requirement. Let the display brightness be... ,but: ,in, To display maximum brightness, Given the current ambient brightness, This is the upper limit of illumination. For the target distance, The adjustment coefficient is used when the ambient brightness is... When the target distance increases, the backlight brightness decreases; when the target distance increases... When the brightness decreases, it increases slightly to enhance readability; the function is non-linear, ensuring a smooth transition and preventing flickering.

[0028] Let the refresh rate be... The expression is defined as:

[0029] ,in, These are the minimum and maximum refresh rates, respectively. This is a coefficient function based on content priority;

[0030] in,

[0031] This indicates that the refresh rate decreases under strong light (high L). Light suppression coefficient;

[0032] Higher priority means faster refresh rate;

[0033] Brighter environments naturally increase visual contrast, reducing the need for refresh rates;

[0034] when The system does not refresh; it only maintains the display.

[0035] The system calculates the instantaneous power consumption of the display unit in real time. :

[0036] ,in For brightness and refresh power consumption coefficients, if detected or When that happens, the system will automatically reduce and Forced entry into energy-saving display mode.

[0037] Furthermore, in step S4, the communication and remote server step includes: in the working state, the control device collects battery power and energy acquisition input power in real time. With system power consumption ,

[0038] Define the expression for the rate of change of system energy:

[0039]

[0040] in, To store energy for the system,

[0041] when At that time, the system is in a state of sufficient energy, and the communication cycle is... The calculation formula is:

[0042] ,in, It is a regulation function based on charge level, energy state, and network signal quality;

[0043] like Energy surplus → can maintain high-frequency communication. Energy deficit → Requires frequency reduction or hibernation.

[0044] The current energy state level is determined based on this rate of energy change. :

[0045] ,in, To set a threshold.

[0046] Furthermore, in step S5, the system analyzes historical sensing data and energy consumption data, and automatically adjusts the following key control parameters: display brightness adjustment coefficient, refresh rate weight, communication cycle weight, and state switching threshold.

[0047] A sample set is generated every 24 hours:

[0048] ,in, For ambient light intensity, The distance at which the human body approaches. For electricity, To display brightness, For refresh rate, Communication power consumption

[0049] The goal of system optimization is to minimize average power consumption. The objective function is defined as follows:

[0050] ,in, Average power consumption per unit time For the variance of brightness fluctuation, For average communication delay, These are the weighting coefficients.

[0051] On the other hand, an intelligent identification system based on energy-saving control includes:

[0052] The environmental sensing module collects environmental parameters and target status in real time, including light intensity, proximity of people / objects, battery level, temperature and humidity;

[0053] The status management module determines the current operating status based on environmental parameters and triggering conditions, enabling system wake-up and energy-saving hibernation control.

[0054] The display control module controls the display brightness, refresh rate, and content priority, enabling the maintenance of static information and partial refresh of dynamic content.

[0055] The communication and energy module regulates the communication cycle and power consumption to achieve a balance between energy harvesting, storage and consumption;

[0056] The intelligent optimization module, based on historical data and energy consumption models, self-learns and optimizes display, communication, and status switching parameters to achieve long-term energy saving and stable performance.

[0057] Beneficial effects

[0058] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:

[0059] This invention achieves highly efficient and energy-saving operation of an intelligent signage system through five steps: environmental perception, state switching, adaptive display, communication and energy management, and self-learning optimization. The system can automatically adjust display brightness and refresh rate based on ambient light, target distance, and battery power, and refresh as needed based on content priority. It also automatically switches between working and sleep states based on human proximity, scheduled tasks, or remote commands. In terms of communication and energy management, it adjusts communication cycles and power consumption in real time to achieve energy self-balancing and extend device lifespan. Furthermore, the system periodically analyzes historical operating data and self-learns to optimize control parameters, thereby continuously reducing energy consumption, improving display efficiency, and maintaining stable performance during long-term operation. Attached Figure Description

[0060] Figure 1 This is a flowchart of an intelligent identification method based on energy-saving control according to the present invention;

[0061] Figure 2 This is a flowchart of an intelligent identification system based on energy-saving control according to the present invention. Detailed Implementation

[0062] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0063] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but includes other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0064] The present invention will now be described in further detail with reference to the accompanying drawings:

[0065] Example:

[0066] like Figure 1 As shown,

[0067] S1. Collect external environmental parameters through a low-power sensor installed in the smart signage device. The environmental parameters include ambient light intensity, human or object proximity signals, and device power information, and make judgments on the environmental parameter data.

[0068] Further, in step S1, the low-power sensor includes an ambient light sensor, a passive infrared (PIR) human body detection sensor, a temperature and humidity sensor, a sound sensor or a pressure sensor, and a power detection module. Each sensor is connected to the main control circuit through the MCU's ADC or I²C interface to fix the sampling period. Collect data from the external environment and reduce energy consumption through a low-power operating mode:

[0069] After normalization, the collected environmental parameters are weighted, fused, and logically judged based on the output signals from different sensors. The fusion algorithm can be expressed as follows:

[0070]

[0071] in, The integrated perception score is the final score after fusion. For the first Normalized output of each sensor, For the first The weighting coefficients for each sensor The number of sensors must meet the following requirements. And satisfy ;

[0072] When a crowd approaches and makes footsteps or conversations, the sound intensity increases from 40 dB to 65 dB, while the PIR sensor detects the infrared change. The fusion score is calculated as follows: ,at this time The system detects "someone approaching" and immediately wakes up. In undisturbed nighttime conditions, both sound and infrared outputs are at low levels. The system automatically maintains a sleep state.

[0073] Normalize the sensor dimensions to To ensure that the output signals of all sensors have uniform dimensions, a normalization formula is used within the interval:

[0074]

[0075] illumination Range of values Sound intensity scope If the PIR output is 0 / 1, you can directly take either 0 or 1. (Distance) Inverse normalization can be used.

[0076] For example: the light intensity range is 0–20000 lux; the sound intensity range is 0–100 dB; the PIR output is a binary signal (0 indicates no one is there, 1 indicates someone is there), and the distance signal is inversely normalized. Therefore, the closer the distance, the higher the perception score. Greater than the set wake-up threshold When the system determines that there are active targets or external stimuli in the current external environment, it outputs a wake-up signal and enters the working state. Less than the dormancy threshold And the duration exceeds the set period. The system automatically enters a low-power sleep mode, keeping only some sensors in operation.

[0077] When an audience member approaches to read, the detection distance of the ultrasonic sensor decreases from 2.5 m to 0.6 m.

[0078] Distance D (m) Normalized score System Response 2.5 0.05 Keep hibernating 1.5 0.45 Preparing to wake up 0.6 0.92 Full brightness display

[0079] Test results show that when At this time, the system brightness increases to its maximum value and the displayed content is refreshed;

[0080] In practical applications, weighting coefficients It can be dynamically adjusted according to the scenario. For example, in low-light environments at night, the weight of the light sensor can be appropriately increased; in densely populated areas, the weight of the PIR sensor can be increased; when the device's battery is low, the weight of the power signal can be increased to achieve adaptive energy-saving operation control.

[0081] In indoor testing, the system was installed at the mall entrance, with a PIR detection radius of 3.5 meters and a light sensor detection range of 0–20000 lux. Test results showed that when someone approaches, the system can wake up the display and automatically adjust the brightness within 1.2 seconds.

[0082] In outdoor testing, the system was equipped with a solar energy acquisition module and a temperature and humidity detector. It uses a combination of light intensity and energy input signals to determine weather conditions (sunny / cloudy / night), enabling high-brightness display during the day and low-brightness or sleep mode at night. Experimental data shows that compared to traditional all-weather, always-on systems, this invention reduces energy consumption by approximately 48%.

[0083] Test results show that when a human body is detected approaching, the system can automatically wake up the display and adjust the brightness within 1.2 seconds, with an average power consumption reduction of about 45% compared to the traditional always-on system. In outdoor applications, the system automatically adjusts its working state based on light intensity and power information, reducing energy consumption by about 48% compared to the traditional system, and the response delay is less than 2 seconds.

[0084] In this embodiment, during the environmental perception step, the system collects ambient environmental data in real time using a light sensor, a PIR sensor, an ultrasonic or infrared ranging device, and a power detection module. This data includes ambient light intensity, the proximity of people or targets, temperature and humidity information, and the current power level of the device. The system performs noise reduction, normalization, and preliminary fusion processing on the collected signals to form comprehensive perception indicators. This provides accurate input data for subsequent status judgment, display control, and energy management, ensuring that the system can perceive environmental changes and user behavior in real time.

[0085] S2. The current operating status is determined based on environmental parameters. When a human body is detected approaching, a timed signal is detected, or a remote control command is detected, the control device switches from a low-power sleep state to a working state. When no trigger is detected for a long time or the power is lower than the set threshold, it automatically returns to the sleep state.

[0086] Furthermore, in step S2, the current operating status is determined based on environmental parameters:

[0087] Sleep mode: Most modules are powered off, with only low-power sensors remaining operational;

[0088] Operating status: The system is fully awake, allowing display, communication, and interaction;

[0089] The low-power sensors remain active while the system is in sleep mode. The system should wake up when any of the following conditions are met:

[0090]

[0091] in, This is a signal indicating that the human body is approaching. For timing signals, For remote commands;

[0092] Scenario: When there are fewer people at night, the device automatically enters sleep mode, retaining only PIR (passive infrared) and light sensor detection. When a pedestrian is detected approaching (P=1), the system immediately wakes up and lights up the display screen to show real-time shift schedules or navigation information. If no one passes by during the night (P=0 and R=0), the system can remain in sleep mode, with only brief communication synchronization triggered periodically by the RTC to maintain data updates. This mode can reduce the average standby power consumption from 1.25W to 0.25W, reducing the overall power consumption by approximately 80%, while the wake-up response time is less than 1.2 seconds.

[0093] When the system is in operation, if there is no human detection signal for an extended period of time... At the same time, and the fusion score And battery If the system is determined to be in an unmanned environment, it will enter hibernation mode. When the system is in operation, the main control CPU continuously receives sensor inputs and calculates the comprehensive environmental perception score. If no human activity is detected for an extended period (P=0), and the overall perception score is below the dormancy threshold, And the current battery level Above the safety threshold The system then determines that it is an unmanned environment and automatically enters hibernation.

[0094] If low battery is detected Then it will unconditionally enter hibernation to prevent over-discharge: ,in For battery information, Fusion perception score, when low battery is detected When this happens, the system unconditionally enters hibernation mode to prevent over-discharge from damaging the battery.

[0095] Scenario: When tourists approach during the day, the system is operational, displaying route information in real time. If no one passes by for an extended period, the PIR detection signal is low (P=0), and the overall perception score based on ambient light, sound sensors, etc., is... If the light level remains below the threshold, the system enters sleep mode, shutting down the display and communication modules, retaining only light detection to determine ambient brightness. When the device is powered by solar energy, under continuous cloudy or rainy conditions, when the power consumption... At this time, the system unconditionally enters deep hibernation, retaining only the RTC timer function to prevent excessive battery discharge.

[0096] Experimental data verification:

[0097] Work mode Power consumption status Battery life (hours) Power reduction ratio Normal operation (no hibernation) 1.20 W 24 — Enable state switching algorithm Dynamic (0.2~1.2 W) 52 ↓ Approximately 58%

[0098] The system can significantly reduce overall power consumption while ensuring responsiveness, and achieve an intelligent energy-saving mode that works during the day and sleeps at night under outdoor solar power conditions.

[0099] The intelligent identification device judges the current system operating status based on the environmental parameters (including ambient light intensity, human body detection signal, sound signal and power information, etc.) obtained in step S1, combined with timing signals and remote control commands. When any of the following conditions are met: (1) a human body is close and the PIR signal is high; (2) the timing task triggers the display time window; (3) the remote control terminal sends a display command; the control device immediately switches from low-power sleep state to working state, starts the display module and communication module, and enters the active display stage;

[0100] When no human activity signals are detected, ambient light intensity remains below a threshold, sound sensor output is consistently below the background noise threshold, and system battery power is below a preset battery power threshold Bth, the system automatically enters sleep mode, shutting down the display and high-power communication units, retaining only basic sensor operation. In sleep mode, only PIR, light intensity, and battery power monitoring are maintained, achieving continuous environmental awareness with minimal power consumption.

[0101] The state transition determination process can be implemented using a threshold logic function, as shown in the following expression:

[0102]

[0103] in, Indicates the current system state (1 for working state, 0 for sleeping state);

[0104] The integrated perception score after fusion in step S1;

[0105] These are the wake-up threshold and the sleep threshold, respectively.

[0106] This is a remote control flag.

[0107] This serves as a flag to trigger a scheduled task.

[0108] Current battery level;

[0109] This is the battery threshold.

[0110] This refers to the system's idle duration.

[0111] Set a timeout for hibernation delay;

[0112] Based on the above logic, when the system is in an unmanned, low-light, or low-energy state, it can automatically turn off the display module and enter sleep mode; and when it detects a user approaching, a scheduled task arriving, or a remote command input, it can wake up the system immediately, ensuring a balance between response speed and energy efficiency.

[0113] This state-switching algorithm was applied to a smart signage system with an e-paper display. Test results showed that in continuous operation tests at a shopping mall entrance, the system automatically entered sleep mode when no one was present, reducing energy consumption by approximately 52%; when people approached, the display resumed on average within 1.5 seconds; in outdoor solar-powered tests, through dynamic switching control, the system could maintain stable operation for over 7 days under continuous cloudy and rainy conditions, improving battery life by approximately 65% ​​compared to traditional systems.

[0114] In another implementation, the system can also dynamically adjust the threshold parameters based on historical usage data. When the system detects frequent triggering within a certain environmental period (such as during daytime), it can adaptively increase the wake-up threshold. This reduces false triggers; and when the detection frequency decreases at night, the threshold is automatically lowered to ensure response sensitivity.

[0115] Through the above design, the state switching steps of this invention realize an intelligent judgment mechanism based on multi-dimensional environmental information and energy state, which can achieve automated, fast-response, and ultra-low-power operation control in different application scenarios.

[0116] In this embodiment, during the state switching step, the system determines the current system state based on data provided by the environmental perception module, timing signals, and remote control commands, using preset dual-threshold logic. When a human body is detected approaching, a timed task arrives, or a remote wake-up command is received, the system switches from a low-power sleep state to a working state and starts the display and communication modules. When no human activity is detected for an extended period or the battery level falls below a set threshold, the system automatically enters a sleep state, retaining only the low-power sensors in operation, thereby achieving a dynamic balance between energy saving and rapid response.

[0117] S3. In working mode, the display brightness and refresh rate are automatically adjusted according to the ambient light intensity and the distance to the detection target, and differentiated display is performed based on content priority: static information is maintained on electronic paper display, and dynamic information is refreshed locally as needed.

[0118] Furthermore, in step S3, when the system is in working state, in order to minimize energy consumption while ensuring information readability, the control device achieves dynamic adaptive control of display brightness, refresh rate and content update method by comprehensively judging the ambient light intensity, target distance and display content priority.

[0119] The system receives data from the environmental perception module in step S1, including ambient light intensity, distance to the human body or object, temperature, and power information, and calculates the control parameters of the display module in real time based on these parameters.

[0120] The brightness of the display module is adjusted according to the ambient light intensity. Adaptive control function is used:

[0121] ,

[0122] in, Current display brightness;

[0123] These represent the lower and upper limits of display brightness, respectively.

[0124] This is the maximum detection value of the light sensor;

[0125] This is a brightness correction factor used to compensate for differences in display environments;

[0126] When the system detects insufficient ambient light (such as at night or in dark areas), it automatically reduces the brightness; when the light is strong, the system increases the brightness to maintain clear readability. If the device uses electronic paper display technology, brightness adjustment can be achieved by adjusting the reflectivity or backlight control current.

[0127] To further reduce power consumption, this embodiment dynamically adjusts the display refresh rate based on the detection target distance and content priority. The control function is as follows:

[0128]

[0129] in, This is the current display refresh rate;

[0130] These are the minimum and maximum refresh rates allowed by the system, respectively.

[0131] This represents the current target distance.

[0132] To trigger the display enhancement distance threshold;

[0133] This is the curve steepness coefficient;

[0134] To refresh the compensation coefficient; when the user approaches As the system refreshes, it gradually increases the refresh rate to ensure smooth display of dynamic content; when no one is present or the target is far away, the refresh rate automatically decreases or pauses, leaving static information unchanged, thus significantly saving power.

[0135] Ambient light intensity and target distance both affect the brightness requirement. Let the display brightness be... ,but: ,in, To display maximum brightness, Given the current ambient brightness, This is the upper limit of illumination. For the target distance, The adjustment coefficient is used when the ambient brightness is... When the target distance increases, the backlight brightness decreases; when the target distance increases... When the brightness decreases, it increases slightly to enhance readability; the function is non-linear, which allows for a smooth transition and prevents flickering.

[0136] Experiment: When this system is installed on the electronic directional sign at the bus stop, there is plenty of sunlight during the day. The brightness automatically decreases to approximately 35% to reduce glare and energy consumption; insufficient light at night When people approach, the system brightness is increased to over 85% to ensure the content is visible. At that time, the brightness increases by 20% instantaneously, enabling real-time high readability of information.

[0137] Let the refresh rate be... The expression is defined as:

[0138] ,in, These are the minimum and maximum refresh rates, respectively.

[0139] When ad content is marked as high priority And the light intensity is low When the system detects that no one is around or the battery level is below the threshold, the refresh rate automatically increases to 90%. When the system detects that no one is around or the battery level is below the threshold, the refresh rate decreases to 20% and switches to "static constant display" mode, which only retains the electronic paper image and does not refresh.

[0140] The energy consumption test results for 72 hours of continuous operation in the experimental prototype of this invention (using a 7.5-inch electronic paper display and a LoRa communication module) are as follows:

[0141] Fixed display system (comparison group) Average brightness (%) Refresh rate (Hz) Average power consumption (W) Energy saving rate (%) This invention is an adaptive control system. Dynamic adjustment Dynamic adjustment 1.65 42.1

[0142] Under the same display task, the adaptive control system of the present invention can significantly reduce power consumption by about 42% and maintain high display clarity in different lighting and interaction scenarios.

[0143] This is a coefficient function based on content priority;

[0144] in,

[0145] This indicates that the refresh rate decreases under strong light (high L). Light suppression coefficient;

[0146] Higher priority means faster refresh rate;

[0147] Brighter environments naturally increase visual contrast, reducing the need for refresh rates;

[0148] when The system does not refresh; it only maintains the display.

[0149] The system calculates the instantaneous power consumption of the display unit in real time. :

[0150] ,in For brightness and refresh power consumption coefficients, if detected or When that happens, the system will automatically reduce and Forced to enter energy-saving display mode;

[0151] The displayed content is divided into static information (such as logos and instructions) and dynamic information (such as time, weather, and announcements), and the system prioritizes this information according to a content priority table. Implement differentiated display control:

[0152] ,

[0153] in, A content refresh threshold is set. Static content maintains its image state through the e-paper display without consuming additional power; only high-priority dynamic content is partially refreshed and displayed when needed, thus achieving on-demand display and energy-saving operation.

[0154] Furthermore, closed-loop optimization of the display system is achieved through adaptive feedback control:

[0155] The system collects power consumption in real time after each refresh. Display brightness With display clarity The calculation shows the energy efficiency ratio. ,

[0156] The adaptive display control algorithm was applied to a 7.5-inch e-paper smart label prototype for testing:

[0157] When the light intensity increases from 100 lux to 15000 lux, the display brightness adaptively increases to 2.3 times the original brightness while maintaining stable readability;

[0158] When the target distance is greater than 3 meters, the refresh rate is reduced to 10%, and the refresh is automatically stopped when no one is around, resulting in an average power consumption reduction of about 56%.

[0159] In a 24-hour continuous operation test, the overall energy consumption of the system was reduced by about 47% compared with the traditional fixed brightness and fixed refresh system. In on-site tests at shopping mall entrances and bus stops, the system can dynamically adjust the brightness and refresh rate according to changes in pedestrian flow, ensuring clear visibility of information while effectively extending battery life. Through the above adaptive display control steps, the present invention can achieve multi-parameter display optimization based on illumination, distance, and content priority. Combined with the low power consumption characteristics of e-paper, it achieves the operating effect of "static constant display, dynamic on-demand, and energy saving throughout". Experimental results show that the solution can save an average of 40% to 55% energy while maintaining stable display performance, with a response delay of less than 2 seconds, significantly improving the service life and environmental adaptability of the intelligent signage device.

[0160] In the adaptive display control process, the system, in operation, calculates the optimal display brightness based on real-time ambient light intensity and target distance, while adjusting the refresh rate according to the priority of the displayed content. Static information maintains the electronic paper display, while dynamic information is partially refreshed according to priority. Through brightness adjustment functions and refresh rate algorithms, the system minimizes energy consumption while ensuring readability and information clarity, and dynamically updates the display content as the environment changes or the user approaches, achieving closed-loop optimization of display control.

[0161] S4. Use a low-power communication network to interact with a remote server, cache and batch report identification data and energy consumption information, and dynamically adjust the communication frequency and device power allocation based on power detection and energy acquisition results.

[0162] Furthermore, in step S4, the communication and remote server steps include: in the working state, the control device collects battery power and energy acquisition input power in real time. With system power consumption ,

[0163] Define the expression for the rate of change of system energy:

[0164]

[0165] in, To store energy for the system,

[0166] when At that time, the system is in a state of sufficient energy, and the communication cycle is... The calculation formula is:

[0167] ,in, The adjustment function is based on charge, state of energy, and network signal quality. Energy surplus → can maintain high-frequency communication. Energy deficit → need to reduce frequency or go into hibernation.

[0168] The current energy state level is determined based on this rate of energy change. :

[0169] ,in, To set a threshold,

[0170] Energy state detection and modeling: The system obtains the current battery voltage through the power detection module. Current and energy harvesting power And calculate real-time power consumption. : The formula for calculating the rate of change of energy is: ,in, This indicates a state of energy surplus. Indicating an energy deficit state, the system according to The symbol and amplitude determine the current energy level, which is divided into three working states: high energy zone, balanced zone and low energy zone.

[0171] Based on the above:

[0172] The ambient lighting conditions are as follows:

[0173] Daytime (9:00–17:00): Average solar irradiance is approximately 60 W / m²;

[0174] Evening (17:00–19:00): Sunlight intensity drops to 15 W / m²;

[0175] Nighttime (19:00–7:00): No solar power supply, Pin=0P_{in}=0Pin=0.

[0176] The device is equipped with a 20W solar panel, and the peak power consumption of the display module is about 3.5W, while the sleep power consumption is about 0.25W.

[0177] Typical operating data and status analysis

[0178] Time period Input power Output power Rate of change of energy Status Level System Actions 10:00 (High Light) 3.8 2.9 +0.9 1 (Abundant Energy) Enable highlight display + high-frequency communication 17:30 (Low Light) 1.5 2.0 -0.5 -1 (Energy Shortage) Reduced brightness, communication cycle doubled 22:00 (Night) 0 0.8 -0.8 -1 (Energy Shortage) Enter low-power sleep mode 07:00 (Morning Light) 1.8 0.9 +0.9 1 (Abundant Energy) Automatically wake up and resume working status

[0179] As can be seen from the experiment:

[0180] When there is sufficient sunlight during the day The system determined that there was sufficient energy. It automatically enables the highlight display mode and maintains data communication every 5 minutes;

[0181] In the evening and at night, The system judged it as an energy shortage. Automatically reduce refresh rate and enter sleep mode to ensure minimum operating power consumption while maintaining core monitoring functions;

[0182] After sunrise the following day, the sunlight intensifies. When the value turns positive again, the system automatically wakes up from hibernation and enters working state, realizing energy self-balancing cycle. In actual testing, after enabling the energy dynamic management strategy of this invention, the system can still run continuously for 62 hours under continuous cloudy conditions, which is 68% longer than the control group (about 37 hours) that did not use this mechanism.

[0183] The operating parameters of the communication module are dynamically adjusted according to the energy level:

[0184]

[0185] in, For the current communication cycle, Basic communication cycle, For energy regulation coefficient, Let be the energy state function, when When a positive value is used, the communication cycle is extended.

[0186] During operation, the power management unit calculates the energy state level in real time based on the energy change rate (i.e., the difference between input power and output power). If an energy surplus is detected, then The communication cycle is shortened, the device operates in high-frequency mode, and real-time information updates are achieved when energy is in a balanced state. The system maintains the default communication cycle. When in a state of energy shortage (such as prolonged periods of darkness at night or low battery levels), The communication cycle is automatically extended.

[0187] In high-energy states, communication cycles are short, and the device maintains high-frequency communication and real-time updates. When energy is balanced or depleted, the system automatically extends the communication cycle or reduces transmission power to decrease power consumption. When the battery level falls below a set threshold... When this occurs, the communication module enters low-power mode, retaining only the most basic status upload function, and the communication power is reduced. The dynamic control formula is:

[0188]

[0189] in, This represents the current communication transmission power. Maximum communication power; Current battery level; The nominal capacity is at full charge; the power attenuation factor is 0.5 to 1.5. Through this control method, the system automatically reduces transmission power when the battery is low and restores normal communication strength when the battery is sufficient, thus achieving a balance between power consumption and communication reliability.

[0190] The experimental setup used an outdoor intelligent wayfinding signage system based on LoRa wireless communication, powered by a 12V / 10Ah lithium battery pack, with a maximum communication transmission power of [missing information]. =2.5 W powered by solar charging panels, the actual power consumption during the working cycle Fluctuating between 20% and 100%, with a decay factor set. The communication power is calculated under different power levels as follows:

[0191] Battery percentage Substitute calculation Current communication power System communication behavior 100% 2.5×(1.0)1.2=2.5 2.5 High-frequency communication (5-minute intervals) 70% 2.5×(0.7)1.2≈1.78 1.78 Normal communication (10-minute interval) 40% 2.5×(0.4)1.2≈0.87 0.87 Reduced-frequency communication (20-minute intervals) 20% 2.5×(0.2)1.2≈0.36 0.36 Low-power communication (state upload only)

[0192] The experiment was conducted in an outdoor environment on a university campus and lasted for 5 days. The system was compared with a traditional fixed-power communication algorithm using the communication power control algorithm of this invention.

[0193] The experimental results are shown in the table below:

[0194] Communication mode Average communication success rate Average power consumption (W) Remaining battery percentage after 5 days Fixed power communication (2.5W) 99.2% 2.5 18% Dynamic power control (this invention) 97.5% 1.35 42%

[0195] After enabling the dynamic power control algorithm, although the communication success rate decreased slightly (approximately 1.7%), the average system power consumption decreased by approximately 46%, and the remaining battery power increased by approximately 24%. Even in low-light environments such as cloudy or rainy days, the device was able to maintain communication functionality without experiencing disconnections or over-discharge.

[0196] During actual operation: when the system energy state is detected to be sufficient At that time, the communication module uses The system works to achieve high-frequency data updates when energy enters the equilibrium zone. The communication power automatically drops to approximately 1.5W and the communication cycle is extended when energy is scarce. or battery level At this time, the communication module switches to low-power mode, only maintaining the device status heartbeat upload.

[0197] To achieve dynamic matching between communication energy consumption and power acquisition, an energy closed-loop regulation algorithm was designed at the system control layer: Based on energy change trends, the system predicts future energy levels and adjusts communication and display strategies in advance to achieve feedforward energy management. For example, when the predicted energy level is about to fall below a threshold, the system can reduce communication frequency and display brightness in advance to delay energy depletion.

[0198] Experimental Scenario 1 (Sufficient Energy): Under sunny conditions, the solar energy harvesting power is about 1.2W, the system maintains a high-frequency communication mode (communication interval of 30 seconds), and the power consumption is stable at 0.95W;

[0199] Experimental Scenario 2 (Energy Constraint): Under cloudy and rainy conditions, the acquisition power drops to 0.4W. The system automatically extends the communication cycle to 120 seconds and reduces the transmission power by 30%, allowing it to operate continuously for 72 hours.

[0200] Comparative experimental results: Compared with a fixed communication cycle system, the energy adaptive strategy of the present invention saves an average of 42.6% energy and increases the equipment's battery life by 68% during long-term operation;

[0201] The communication and energy management steps are applicable to various self-powered smart signage devices, such as outdoor bus stop signs, scenic area guide screens, and electronic road signs. Through dynamic matching of energy detection and communication strategies, the system achieves adaptive adjustment between communication reliability and energy consumption.

[0202] It can maintain system operation continuously under energy-constrained conditions, significantly extend equipment lifespan, and achieve a closed-loop energy balance mode of "charging during the day and using at night" under typical lighting conditions.

[0203] In this embodiment, during the communication and energy management steps, the system collects battery power, energy acquisition power, and current system power consumption in real time, and calculates the energy change rate to determine the current energy state. Based on the energy state and network signal quality, the system adaptively adjusts the communication cycle and power: maintaining high-frequency communication and complete display when energy is abundant; extending the communication interval, reducing transmission power, or suspending non-critical tasks when battery power is low or energy is scarce, achieving a dynamic balance between communication and energy consumption. Simultaneously, the system uses closed-loop energy monitoring to prevent battery over-discharge or excessive consumption, thereby extending the equipment's lifespan.

[0204] S5. When the system is in low power or night mode, it implements energy-saving strategies to limit display and communication activities; when power is detected to be restored or a maintenance command is received, it automatically resumes normal operation.

[0205] Furthermore, in step S5, the system analyzes historical sensing data and energy consumption data, and automatically adjusts the following key control parameters: display brightness adjustment coefficient, refresh rate weight, communication cycle weight, and state switching threshold.

[0206] A sample set is generated every 24 hours:

[0207] ,in, For ambient light intensity, The distance at which the human body approaches. For electricity, To display brightness, For refresh rate, Communication power consumption

[0208] The optimization objective is to minimize average power consumption, and the objective function is defined as follows:

[0209] ,in, Average power consumption per unit time For the variance of brightness fluctuation, For average communication delay, These are the weighting coefficients.

[0210] Experimental Scenario: An outdoor bus stop smart display terminal was selected as the test object. The terminal is powered by solar energy and equipped with an e-paper display screen and a LoRa communication module. The test period is 72 consecutive hours, with weather conditions varying from sunny to cloudy to rainy to simulate actual operating conditions. The system is initially set with weights. ,

[0211] The initial parameters are as follows: display brightness control step size 10%, communication cycle 10 minutes, local refresh threshold 30 lx (ambient light change threshold). The parameters are learned once based on the collected 24-hour sample set, and the control strategy is dynamically adjusted.

[0212] After the second sampling period (i.e., 48 hours), the model automatically updates the parameters by analyzing the gradient of the objective function: the display brightness step size is reduced to 6%, the communication cycle is adaptively extended to 15 minutes (when the environment is stable), and the local refresh threshold is increased to 45 lx.

[0213] Optimized results show the average power consumption of the system. The power was reduced from 1.8W to 1.25W (a decrease of approximately 30%), indicating a decrease in brightness fluctuation variance. The average communication latency decreased from 0.022 to 0.009 (resulting in smoother video). The time has increased from 2.5s to 3.1s (which has virtually no impact on the information update experience).

[0214] Establish the energy consumption optimization objective function:

[0215] , For the overall optimization index; To display clarity or user readability metrics; For the system at time Energy consumption; This is a weighting coefficient used to balance energy saving and display performance;

[0216] By using gradient descent or fuzzy control methods, the system periodically updates key control parameters.

[0217]

[0218] ,in, The learning rate is used to optimize the parameters for the next running cycle, achieving closed-loop adaptive adjustment.

[0219] Energy-saving effect comparison table:

[0220] Running time (hours) The system of this invention (curve A, average power consumption / W) Traditional fixed-parameter system (curve B, average power consumption / W) Power consumption difference (W) Energy saving ratio 0 (Initial Startup) 18 31 13 41.9% 24 (End of Day 1) 17 29 12 41.4% 48 (End of Day 2) 16 28 12 42.9% 72 (End of Day 3) 17 29 12 41.4% 96 (End of Day 4) 16 28 12 42.9% 120 (End of Day 5) 17 29 12 41.4% 144 (End of Day 6) 16 28 12 42.9% 168 (End of Day 7) 17 29 12 41.4% average value 16.88 28.88 12 Approximately 42%

[0221] It can be clearly seen that the response time of the system of the present invention is stable at 1.0-1.5 seconds, while the response time of the traditional system fluctuates greatly and the value is too high;

[0222] Ambient light intensity (lux) The brightness adjustment value of the system of the present invention The system refresh rate (Hz) of this invention Traditional systems have fixed brightness adjustment values Traditional systems have a fixed refresh rate (Hz). 50 (Low Light) 8.5 30 5.0 60 200 (dim light) 7.0 40 5.2 60 500 (Medium lighting) 5.5 50 5.0 65 1000 (stronger light) 4.0 60 4.9 60 2000 (High Light) 2.5 70 5.0 56 5000 (Extremely strong light) 1.0 80 4.8 60

[0223] Traditional systems offer no adjustment differences, while simultaneously demonstrating the advantages of balancing energy consumption and readability;

[0224] In the system learning and optimization process, the system periodically analyzes historical operating data, including environmental parameters, display brightness, refresh rate, communication power consumption, and total system power consumption, and constructs an energy consumption optimization objective function. The system uses gradient descent algorithms or fuzzy control methods to self-learn and optimize key control parameters (such as display brightness coefficient, refresh rate coefficient, state switching threshold, and communication cycle), and applies the optimized parameters to the next operating cycle. This enables the system to adaptively adjust display, communication, and state switching strategies during long-term operation, thereby continuously reducing energy consumption, improving display efficiency, and maintaining stable system performance.

[0225] On the other hand, an intelligent identification system based on energy-saving control includes:

[0226] The environmental sensing module collects environmental parameters and target status in real time, including light intensity, proximity of people / objects, battery level, temperature and humidity;

[0227] The status management module determines the current operating status based on environmental parameters and triggering conditions, enabling system wake-up and energy-saving hibernation control.

[0228] The display control module controls the display brightness, refresh rate, and content priority, enabling the maintenance of static information and partial refresh of dynamic content.

[0229] The communication and energy module regulates the communication cycle and power consumption to achieve a balance between energy harvesting, storage and consumption;

[0230] The intelligent optimization module, based on historical data and energy consumption models, self-learns and optimizes display, communication, and status switching parameters to achieve long-term energy saving and stable performance.

[0231] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart identification method based on energy-saving control, characterized in that, Includes the following steps: S1. Collect external environmental parameters by a low-power sensor installed in the smart signage device. The environmental parameters include ambient light intensity, human or object proximity signals, and device power information. Then, make a judgment on the data of the environmental parameters. S2. Determine the current operating status based on the environmental parameters. When a human body is detected approaching, a timed signal is detected, or a remote control command is detected, the control device switches from a low-power sleep state to a working state. When no trigger is detected for a long time or the battery level is lower than a set threshold, it automatically returns to the sleep state. S3. In working mode, the display brightness and refresh rate are automatically adjusted according to the ambient light intensity and the distance to the detected target, and differentiated display is performed based on content priority: static information is maintained on electronic paper display, and dynamic information is refreshed locally as needed; S4. Use a low-power communication network to interact with a remote server, cache and batch report identification data and energy consumption information, and dynamically adjust the communication frequency and device power allocation based on power detection and energy acquisition results. S5. When the system is in low power or night mode, it implements energy-saving strategies to limit display and communication activities; when power is detected to be restored or a maintenance command is received, it automatically resumes normal operation.

2. The intelligent identification method based on energy-saving control according to claim 1, characterized in that, In step S1, the low-power sensor includes: an ambient light sensor, a passive infrared (PIR) human body detection sensor, a temperature and humidity sensor, a sound sensor, or a pressure sensor. The output signals from multiple sensors are weighted, fused, and logically judged. The sensor signal fusion expression is as follows: ,in, The integrated perception score is the final score after fusion. For the first Normalized output of each sensor, For the first The weighting coefficients for each sensor The number of sensors must meet the following requirements. , Normalize the sensor dimensions to Interval: 。 3. The intelligent identification method based on energy-saving control according to claim 2, characterized in that, In step S2, the current operating status is determined based on the environmental parameters: Sleep mode: Most modules are powered off, with only low-power sensors remaining operational; Operating status: The system is fully awake, allowing display, communication, and interaction; The low-power sensors remain active while the system is in sleep mode. The system should wake up when any of the following conditions are met: in, This is a signal indicating that the human body is approaching. For timing signals, For remote commands; When the system is in operation, if there is no human detection signal for an extended period of time... At the same time, and the fusion score And battery If the system is determined to be in an unmanned environment, it will enter hibernation mode. ; If low battery is detected Then it will unconditionally enter hibernation to prevent over-discharge: ,in For battery information, Fusion perception score.

4. The intelligent identification method based on energy-saving control according to claim 3, characterized in that, In step S3, when the system is in operation, in order to minimize energy consumption while ensuring information readability, the control device makes a comprehensive judgment on ambient light intensity, target distance and display content priority to achieve dynamic adaptive control of display brightness, refresh rate and content update method. Ambient light intensity and target distance both affect the brightness requirement. Let the display brightness be... ,but: ,in, To display maximum brightness, Given the current ambient brightness, This is the upper limit of illumination. For the target distance, This is the adjustment coefficient.

5. The intelligent identification method based on energy-saving control according to claim 4, characterized in that, In step S3, the refresh frequency is set to... The expression is defined as: ,in, These are the minimum and maximum refresh rates, respectively. This is a coefficient function based on content priority; in, This indicates that the refresh rate decreases under strong light (high L). Light suppression coefficient; The system calculates the instantaneous power consumption of the display unit in real time. : ,in For brightness and refresh power consumption coefficients, if detected or When that happens, the system will automatically reduce and Forced entry into energy-saving display mode.

6. The intelligent identification method based on energy-saving control according to claim 5, characterized in that, In step S4, the communication and remote server steps include: in the working state, the control device collects battery power in real time, and the energy acquisition input power. With system power consumption , Define the expression for the rate of change of system energy: in, To store energy for the system, when At that time, the system is in a state of sufficient energy, and the communication cycle is... The calculation formula is: ,in, It is a regulation function based on charge, energy state, and network signal quality.

7. The intelligent identification method based on energy-saving control according to claim 6, characterized in that, In step S4, if Energy surplus → can maintain high-frequency communication. Energy deficit → needs to reduce frequency or go into hibernation. The current energy state level is determined based on this rate of energy change. : ,in, To set a threshold.

8. The intelligent identification method based on energy-saving control according to claim 7, characterized in that, In step S5, the system analyzes historical sensing data and energy consumption data, and automatically adjusts the following key control parameters: display brightness adjustment coefficient, refresh rate weight, communication cycle weight, and state switching threshold. A sample set is generated every 24 hours: ,in, For ambient light intensity, The distance at which the human body approaches. For electricity, To display brightness, For refresh rate, Communication power consumption The goal of system optimization is to minimize average power consumption. The objective function is defined as follows: ,in, Average power consumption per unit time For the variance of brightness fluctuation, For average communication delay, These are the weighting coefficients.

9. The intelligent identification method based on energy-saving control according to claim 8, characterized in that, In step S4, the operating parameters of the communication module are dynamically adjusted according to the different energy levels: in, For the current communication cycle, Basic communication cycle, For energy regulation coefficient, Let be the energy state function, when A positive value is used to extend the communication cycle.

10. An intelligent identification system based on energy-saving control, comprising an intelligent identification method based on energy-saving control according to any one of claims 1-9, characterized in that, The system includes: The environmental sensing module collects environmental parameters and target status in real time, including light intensity, proximity of people / objects, battery level, temperature and humidity; The status management module determines the current operating status based on environmental parameters and triggering conditions, enabling system wake-up and energy-saving hibernation control. The display control module controls the display brightness, refresh rate, and content priority, enabling the maintenance of static information and partial refresh of dynamic content. The communication and energy module adjusts the communication cycle and power consumption to achieve a balance between energy harvesting, storage, and consumption. The intelligent optimization module, based on historical data and energy consumption models, learns and optimizes display, communication, and state switching parameters to achieve long-term energy saving and stable performance.

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