Low-power-consumption digital display screen intelligent regulation and control system based on Internet of Things communication

Abstract

The invention belongs to the technical field of display screen management and control, and particularly relates to a low-power-consumption digital display screen intelligent regulation and control system based on Internet of Things communication, which comprises a digital display screen monitoring module, a control strategy generation module, a low-power-consumption control module, a control normative decision module and a supervision terminal, the control strategy suitable for the current operation of the digital display screen is generated based on the monitoring data set through the operation control optimization model, and the low-power-consumption control module automatically regulates and controls the refresh rate and the brightness of the digital display screen after receiving the control strategy, so that the operation effect of the digital display screen is ensured, and meanwhile, the energy consumption of the digital display screen is reduced; the operation control effect of the digital display screen is comprehensively evaluated through the control normativity decision-making module, and the operation energy consumption condition of the digital display screen is detected and analyzed when the control performance signal is generated; and timely reason investigation and analysis are facilitated, and reasonable improvement measures are taken to ensure low-consumption stable operation of the digital display screen.

Description

Technical Field

[0001] The present invention relates to the technical field of display screen control, and specifically to an intelligent regulation system for low-power digital display screens based on Internet of Things communication. Background Art

[0002] A digital display screen is an electronic device that controls the display content through digital signals and can present information in the form of numbers, texts, images, or videos. It is based on digital circuit technology and realizes the display of dynamic or static content through precise control of pixel points. It is widely used in fields such as advertising, transportation, commerce, and industry, such as LED advertising screens in shopping malls and on the streets, and information screens in subways and airports;

[0003] However, the power consumption regulation of traditional digital display screens mostly relies on fixed brightness or simple light sensor adjustment, lacks the fusion analysis of multi-dimensional data, is difficult to achieve precise power consumption optimization, and cannot reasonably evaluate the automatic control performance of digital display screens and accurately judge the energy consumption status of digital display screens when the control performance is good. It is not conducive to supervisors to conduct timely cause investigation and analysis and make reasonable improvement measures, and cannot effectively ensure the low-power and stable operation of digital display screens;

[0004] In view of the above technical defects, a solution is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent regulation system for low-power digital display screens based on Internet of Things communication, which solves the problems that the existing technology lacks the fusion analysis of multi-dimensional data of digital display screens, is difficult to achieve precise power consumption optimization, and cannot reasonably evaluate the automatic control performance of digital display screens and accurately judge the energy consumption status of digital display screens when the control performance is good, and cannot effectively ensure the low-power and stable operation of digital display screens.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] An intelligent regulation system for low-power digital display screens based on Internet of Things communication includes a digital display screen monitoring module, a control strategy generation module, a low-power control module, a control standardization decision module, and a supervision terminal; the digital display screen monitoring module monitors the digital display screen and its surrounding environment, collects the operation data and surrounding environment data of the digital display screen and generates a monitoring data set, and sends the monitoring data set to the control strategy generation module through the Internet of Things;

[0008] The control strategy generation module inputs the monitoring data set into the operation control optimization model of the digital display screen. The operation control optimization model generates a control strategy suitable for the current operation of the digital display screen based on the monitoring data set, and sends the generated control strategy to the low-power control module;

[0009] After receiving the control strategy, the low-power control module automatically regulates the refresh rate and brightness of the digital display screen and sends the regulation information to the supervision terminal; the control standardization decision module comprehensively evaluates the operation control effect of the digital display screen within a unit time, generates a control non-standard signal or a control excellent performance signal accordingly, and sends the control non-standard signal or the control excellent performance signal to the supervision terminal. When the supervision terminal receives the control non-standard signal, it issues a corresponding warning.

[0010] Furthermore, the specific analysis process of the control standardization decision module includes:

[0011] Collect the refresh rate and brightness of the digital display screen, mark the deviation value of the refresh rate from the currently set standard refresh rate as the refresh rate anomaly value, and mark the deviation value of the brightness from the currently set standard brightness as the brightness anomaly value; compare the refresh rate anomaly value and the brightness anomaly value with the preset refresh rate anomaly threshold and the preset brightness anomaly threshold respectively. If the refresh rate anomaly value or the brightness anomaly value exceeds the corresponding preset threshold, it is determined that the digital display screen is in a control non-compliant state.

[0012] Obtain the total duration of the digital display screen being in a control non-compliant state within a unit time and mark it as the control difference value, and obtain all the control strategies generated by the control strategy generation module within a unit time. Mark the generation time of the corresponding control strategy as the preparation time, mark the time when the low-power control module completes the regulation of the digital display screen based on the corresponding control strategy as the completion time, and calculate the time difference between the completion time and the preparation time to obtain the completion efficiency value.

[0013] Compare the completion efficiency value with the preset completion efficiency threshold. If the completion efficiency value exceeds the preset completion efficiency threshold, mark the corresponding completion efficiency value as the completion efficiency anomaly value, and obtain the number of completion efficiency anomaly values within a unit time and calculate the ratio with the total number of completion efficiency values within a unit time to obtain the completion anomaly value; compare the control difference value and the completion anomaly value with the preset control difference threshold and the preset completion anomaly threshold respectively. If the control difference value or the completion anomaly value exceeds the corresponding preset threshold, generate a control non-standard signal.

[0014] Furthermore, if both the control difference value and the completion anomaly value do not exceed the corresponding preset thresholds, calculate the average value of all the refresh rate anomaly values within a unit time to obtain the refresh rate anomaly situation value, calculate the average value of all the brightness anomaly values within a unit time to obtain the brightness anomaly situation value, and calculate the average value of all the completion efficiency values within a unit time to obtain the completion efficiency situation value.

[0015] The standardized decision coefficient is obtained by calculating the weighted sum of the control difference value, the completion abnormal condition value, the refresh rate abnormal condition value, the brightness abnormal condition value, and the completion performance condition value. The standardized decision coefficient is numerically compared with the preset standardized decision coefficient threshold. If the standardized decision coefficient exceeds the preset standardized decision coefficient threshold, a control non-standard signal is generated; if the standardized decision coefficient does not exceed the preset standardized decision coefficient threshold, a control excellent performance signal is generated.

[0016] Furthermore, the control standardization decision module is communicatively connected to the energy consumption rationality evaluation module. The control standardization decision module sends the control excellent performance signal to the energy consumption rationality evaluation module. When the energy consumption rationality evaluation module receives the control excellent performance signal, it detects and analyzes the operating energy consumption status of the digital display screen within a unit time, generates an energy consumption abnormal performance signal or an energy consumption excellent performance signal through the analysis, and sends the energy consumption abnormal performance signal or the energy consumption excellent performance signal to the supervision terminal. When the supervision terminal receives the energy consumption abnormal performance signal, it issues a corresponding warning.

[0017] Furthermore, the specific analysis process of the energy consumption rationality evaluation module is as follows:

[0018] Within a unit time, several detection time periods are set. The power consumed by the digital display screen during the corresponding detection time periods is collected and marked as the energy consumption time period value. The energy consumption time period value is numerically compared with the preset energy consumption time period threshold for the corresponding detection time period. If the energy consumption time period value exceeds the preset energy consumption time period threshold, the corresponding detection time period is marked as an energy consumption exceeding standard time period;

[0019] The number of energy consumption exceeding standard time periods within a unit time is obtained and the ratio is calculated with the total number of detection time periods to obtain the low energy consumption hindrance value. The low energy consumption hindrance value is numerically compared with the preset low energy consumption hindrance threshold. If the low energy consumption hindrance value exceeds the preset low energy consumption hindrance threshold, an energy consumption abnormal performance signal is generated.

[0020] Furthermore, if the low energy consumption hindrance value does not exceed the preset low energy consumption hindrance threshold, the exceeding value of the energy consumption time period value of the corresponding energy consumption exceeding standard time period compared with the corresponding preset energy consumption time period threshold is calculated as a ratio with the corresponding preset energy consumption time period threshold to obtain the exceeding ratio value. The average value and the maximum value of the exceeding ratio values of all energy consumption exceeding standard time periods are marked as the exceeding ratio table value and the exceeding ratio amplitude value respectively;

[0021] The energy consumption rationality coefficient is obtained by calculating the weighted sum of the low energy consumption hindrance value, the exceeding ratio table value, and the exceeding ratio amplitude value. The energy consumption rationality coefficient is numerically compared with the preset energy consumption rationality coefficient threshold. If the energy consumption rationality coefficient exceeds the preset energy consumption rationality coefficient threshold, an energy consumption abnormal performance signal is generated; if the energy consumption rationality coefficient does not exceed the preset energy consumption rationality coefficient threshold, an energy consumption excellent performance signal is generated.

[0022] Further, a manual intervention judgment module is communicatively connected to the supervision terminal. The manual intervention judgment module is used to set an analysis period of L1 days, analyze and judge the difficulty of manual intervention management for the digital display screen within the analysis period, generate a strict intervention management signal or a weak intervention management signal through the analysis, and send the strict intervention management signal or the weak intervention management signal to the supervision terminal. When the supervision terminal receives the strict intervention management signal, it issues a corresponding warning.

[0023] Further, the specific analysis process of the manual intervention judgment module is as follows:

[0024] Obtain the generation times of the control non-standard signal and the generation times of the energy consumption abnormal performance signal corresponding to the digital display screen within the analysis period, and perform a summation calculation on the generation times of the control non-standard signal and the generation times of the energy consumption abnormal performance signal to obtain an initial intervention evaluation coefficient. Compare the initial intervention evaluation coefficient with a preset initial intervention evaluation coefficient threshold. If the initial intervention evaluation coefficient exceeds the preset initial intervention evaluation coefficient threshold, generate a strict intervention management signal;

[0025] If the initial intervention evaluation coefficient does not exceed the preset initial intervention evaluation coefficient threshold, then obtain an overall intervention evaluation coefficient through analysis. Compare the overall intervention evaluation coefficient with a preset overall intervention evaluation coefficient threshold. If the overall intervention evaluation coefficient exceeds the preset overall intervention evaluation coefficient threshold, generate a strict intervention management signal; if the overall intervention evaluation coefficient does not exceed the preset overall intervention evaluation coefficient threshold, generate a weak intervention management signal.

[0026] Further, the method for analyzing and obtaining the overall intervention evaluation coefficient is as follows:

[0027] When the digital display screen is in a stuck state, collect its duration until it ends the stuck state, and accordingly obtain a stuck detection value. Perform a summation calculation on all the stuck detection values corresponding to the digital display screen within the analysis period to obtain a display card time value, and mark the number of stuck detection values exceeding the preset stuck detection threshold within the analysis period as a display card abnormal value;

[0028] And when the digital display screen is impacted by an external force, collect the average force value and the duration value of the external force, perform a weighted summation calculation on the average force value and the duration value to obtain an impact analysis value, and compare the impact analysis value with a preset impact analysis threshold. If the impact analysis value exceeds the preset impact analysis threshold, assign an impact risk symbol ZY-1 to the corresponding external force impact process; obtain the number of times the impact risk symbol ZY-1 is assigned to the digital display screen within the analysis period and mark it as an external force management abnormal value;

[0029] Obtain the overall intervention evaluation coefficient by performing a weighted summation calculation on the initial intervention evaluation coefficient, the display card time value, the display card abnormal value, and the external force management abnormal value.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0031] 1. In the present invention, a control strategy suitable for the current operation of the digital display screen is generated based on the monitoring data set by running the control optimization model. After receiving the control strategy, the low-power control module automatically adjusts the refresh rate and brightness of the digital display screen, reducing its energy consumption while ensuring the operation effect of the digital display screen. Moreover, through progressive and accurate judgment and analysis of the operation control effect and operation energy consumption status, it is beneficial to conduct cause investigation in a timely manner and make reasonable improvement measures to further ensure the low-power and stable operation of the digital display screen;

[0032] 2. In the present invention, the artificial intervention judgment module analyzes and judges the difficulty of artificial intervention management for the digital display screen within the analysis period, and accordingly generates a strict intervention management signal or a weak intervention management signal, which is convenient for supervisors to formulate a matching artificial intervention supervision plan for the digital display screen. When generating a strict intervention management signal, the subsequent operation supervision of the digital display screen is strengthened, and the intelligent level is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings;

[0034] Figure 1 It is the system block diagram of Embodiment 1 in the present invention;

[0035] Figure 2 It is the system block diagram of Embodiment 2 in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0037] Embodiment 1: As Figure 1 shown, the intelligent control system for low-power digital display screen based on Internet of Things communication proposed by the present invention includes a digital display screen monitoring module, a control strategy generation module, a low-power control module, a control standardization decision module, an energy consumption rationality evaluation module, and a supervision terminal;

[0038] Among them, the digital display monitoring module monitors the digital display and its surrounding environment, collects the operation data of the digital display (including the temperature of the digital display, the current refresh rate, brightness, etc.) and the surrounding environment data (including the environmental light intensity, personnel density, and interaction frequency in the area where the digital display is located. It should be noted that the personnel density reflects the number of people in front of the current screen. When the density is low, the refresh rate can be reduced or part of the backlight can be turned off. The interaction frequency reflects the interaction activity of users with the screen, such as touch clicks. When the interaction frequency is high, a high refresh rate needs to be maintained), and generates a monitoring data set, and sends the monitoring data set to the control strategy generation module through the Internet of Things;

[0039] The control strategy generation module inputs the monitoring data set into the operation control optimization model of the digital display. The operation control optimization model generates a control strategy suitable for the current operation of the digital display based on the monitoring data set, and sends the generated control strategy to the low-power control module; after receiving the control strategy, the low-power control module automatically adjusts the refresh rate and brightness of the digital display, and sends the adjustment information to the supervision terminal, which is beneficial for the supervision personnel to detailedly master the automatic adjustment information of the digital display, so that the supervision personnel can perform manual intervention management in time according to needs.

[0040] The control standardization decision module comprehensively evaluates the operation control effect of the digital display within a unit time, and generates a control non-standard signal or a control excellent performance signal accordingly; and sends the control non-standard signal or the control excellent performance signal to the supervision terminal. When the supervision terminal receives the control non-standard signal, it issues a corresponding warning, can analyze and accurately feedback the operation control effect of the digital display, and reminds the supervision personnel to conduct a cause investigation and analysis and make reasonable improvement measures when generating the control non-standard signal, ensuring the low-power and stable operation of the digital display and improving the control efficiency and control effect; the specific analysis process of the control standardization decision module is as follows:

[0041] The refresh rate and brightness of the digital display are collected. The deviation value of the refresh rate compared with the currently set standard refresh rate is marked as the refresh rate anomaly value, and the deviation value of the brightness compared with the currently set standard brightness is marked as the brightness anomaly value; the refresh rate anomaly value and the brightness anomaly value are respectively compared with the preset refresh rate anomaly threshold and the preset brightness anomaly threshold. If the refresh rate anomaly value or the brightness anomaly value exceeds the corresponding preset threshold, it indicates that the current control status of the digital display is not good, and it is determined that the digital display is in a control non-compliant state;

[0042] Obtain the total duration of the digital display being in a control non - compliant state within a unit time and mark it as the control difference value. Also, obtain all the control strategies generated by the control strategy generation module within a unit time. Mark the generation moment of the corresponding control strategy as the preparation moment, mark the moment when the low - power control module completes the regulation of the digital display based on the corresponding control strategy as the completion moment, and calculate the time difference between the completion moment and the preparation moment to obtain the completion efficiency value;

[0043] Compare the completion efficiency value with a preset completion efficiency threshold. If the completion efficiency value exceeds the preset completion efficiency threshold, it indicates that the efficiency of the current regulation is relatively slow. Then mark the corresponding completion efficiency value as the completion efficiency difference value, and obtain the number of completion efficiency difference values within a unit time and calculate the ratio of it to the total number of completion efficiency values within a unit time to obtain the completion anomaly value;

[0044] Compare the control difference value and the completion anomaly value with a preset control difference threshold and a preset completion anomaly threshold. If the control difference value or the completion anomaly value exceeds the corresponding preset threshold, it indicates that the control performance of the digital display within a unit time is poor, and then generate a control non - standard signal.

[0045] Furthermore, if both the control difference value and the completion anomaly value do not exceed the corresponding preset thresholds, then calculate the average value of all the refresh rate anomaly values within a unit time to obtain the refresh rate anomaly value, calculate the average value of all the brightness anomaly values within a unit time to obtain the brightness anomaly value, and calculate the average value of all the completion efficiency values within a unit time to obtain the completion efficiency situation value;

[0046] Calculate the standardized decision coefficient by performing a weighted sum calculation on the control difference value, the completion anomaly value, the refresh rate anomaly value, the brightness anomaly value, and the completion efficiency situation value; Assign corresponding preset weight coefficients to the control difference value, the completion anomaly value, the refresh rate anomaly value, the brightness anomaly value, and the completion efficiency situation value respectively, multiply the control difference value, the completion anomaly value, the refresh rate anomaly value, the brightness anomaly value, and the completion efficiency situation value by their corresponding preset weight coefficients respectively, and mark the sum value of the five groups of product results as the standardized decision coefficient; Moreover, the larger the value of the standardized decision coefficient, the worse the comprehensive control performance of the digital display within a unit time;

[0047] Compare the standardized decision coefficient with a preset standardized decision coefficient threshold. If the standardized decision coefficient exceeds the preset standardized decision coefficient threshold, it indicates that the comprehensive control performance of the digital display within a unit time is poor, and then generate a control non - standard signal; If the standardized decision coefficient does not exceed the preset standardized decision coefficient threshold, it indicates that the comprehensive control performance of the digital display within a unit time is good, and then generate a control excellent performance signal.

[0048] Moreover, the control normativity decision module sends a control excellent performance signal to the energy consumption rationality evaluation module. When the energy consumption rationality evaluation module receives the control excellent performance signal, it detects and analyzes the operating energy consumption status of the digital display screen within a unit time, and generates an energy consumption abnormal performance signal or an energy consumption excellent performance signal through the analysis;

[0049] And it sends the energy consumption abnormal performance signal or the energy consumption excellent performance signal to the supervision terminal. When the supervision terminal receives the energy consumption abnormal performance signal, it issues a corresponding warning to remind the supervision personnel to conduct a cause investigation and analysis in a timely manner and make reasonable improvement measures, so as to reduce the energy consumption of the digital display screen and further ensure the low-power and stable operation of the digital display screen. The specific analysis process of the energy consumption rationality evaluation module is as follows:

[0050] Set several detection time periods within a unit time. The duration of all detection time periods is the same. Collect the power consumed by the digital display screen within the corresponding detection time period and mark it as the energy consumption time period value. Compare the energy consumption time period value with the preset energy consumption time period threshold of the corresponding detection time period. If the energy consumption time period value exceeds the preset energy consumption time period threshold, it indicates that the energy consumption in the corresponding detection time period is high, and then mark the corresponding detection time period as an energy consumption over-standard time period;

[0051] Obtain the number of energy consumption over-standard time periods within a unit time and calculate the ratio with the total number of detection time periods to get the low-power hindrance value. Compare the low-power hindrance value with the preset low-power hindrance threshold. If the low-power hindrance value exceeds the preset low-power hindrance threshold, it indicates that the energy consumption control performance of the digital display screen within a unit time is poor, and then generate an energy consumption abnormal performance signal.

[0052] Furthermore, if the low-power hindrance value does not exceed the preset low-power hindrance threshold, then calculate the ratio of the excess value of the energy consumption time period value of the corresponding energy consumption over-standard time period compared with the corresponding preset energy consumption time period threshold to the corresponding preset energy consumption time period threshold to get the over-standard occupancy ratio. Mark the average value and the maximum value of the over-standard occupancy ratios of all energy consumption over-standard time periods as the over-standard occupancy table value and the over-standard occupancy amplitude value respectively;

[0053] Calculate the energy consumption rationality coefficient by performing a weighted sum calculation on the low-power hindrance value, the over-standard occupancy table value, and the over-standard occupancy amplitude value; assign corresponding preset weight coefficients to the low-power hindrance value, the over-standard occupancy table value, and the over-standard occupancy amplitude value respectively, multiply the low-power hindrance value, the over-standard occupancy table value, and the over-standard occupancy amplitude value by the corresponding preset weight coefficients respectively, and mark the sum value of the three product results as the energy consumption rationality coefficient; moreover, the larger the value of the energy consumption rationality coefficient, the worse the energy consumption control performance of the digital display screen within a unit time;

[0054] Compare the energy consumption rationality coefficient with the preset energy consumption rationality coefficient threshold. If the energy consumption rationality coefficient exceeds the preset energy consumption rationality coefficient threshold, it indicates that the energy consumption control performance of the digital display screen per unit time is poor, and then an energy consumption abnormal performance signal is generated; if the energy consumption rationality coefficient does not exceed the preset energy consumption rationality coefficient threshold, it indicates that the energy consumption control performance of the digital display screen per unit time is good, and then an energy consumption excellent performance signal is generated.

[0055] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the supervision terminal is communicatively connected to the manual intervention judgment module. The manual intervention judgment module is used to set an analysis period of L1 days. Preferably, L1 = 20; analyze and judge the difficulty of manual intervention management for the digital display screen within the analysis period, and generate an intervention strict management signal or an intervention weak management signal through analysis;

[0056] And send the intervention strict management signal or the intervention weak management signal to the supervision terminal. When the supervision terminal receives the intervention strict management signal, it issues a corresponding warning, which is convenient for the supervision personnel to formulate a matching manual intervention supervision plan for the digital display screen, and strengthen the subsequent operation supervision of the digital display screen when the intervention strict management signal is generated, with a high level of intelligence; the specific analysis process of the manual intervention judgment module is as follows:

[0057] Obtain the generation times of the control non-standard signal and the generation times of the energy consumption abnormal performance signal corresponding to the digital display screen within the analysis period, and perform a summation calculation on the generation times of the control non-standard signal and the generation times of the energy consumption abnormal performance signal to obtain an initial intervention evaluation coefficient. Compare the initial intervention evaluation coefficient with the preset initial intervention evaluation coefficient threshold. If the initial intervention evaluation coefficient exceeds the preset initial intervention evaluation coefficient threshold, it indicates that the difficulty of manual management for the digital display screen is large, and then an intervention strict management signal is generated;

[0058] If the initial intervention evaluation coefficient does not exceed the preset initial intervention evaluation coefficient threshold, then obtain an overall intervention evaluation coefficient through analysis. Specifically: when the digital display screen is in a stuck state, collect its duration until it ends the stuck state, and thus obtain a stuck detection value. Perform a summation calculation on all the stuck detection values corresponding to the digital display screen within the analysis period to obtain a display card time value, and mark the number of stuck detection values exceeding the preset stuck detection threshold within the analysis period as a display card abnormal value;

[0059] When the digital display screen is impacted by an external force, the average force value of the external force (i.e., the average value of the impact force during the impact process) and the duration value are collected, and the average force value and the duration value are weighted and summed to obtain an impact analysis value; that is, corresponding preset weight coefficients are assigned to the average force value and the duration value, the average force value and the duration value are multiplied by the corresponding preset weight coefficients, and the sum of the two sets of product results is marked as the impact analysis value; moreover, the larger the value of the impact analysis value, the greater the damage caused by the corresponding impact process to the digital display screen;

[0060] And the impact analysis value is numerically compared with a preset impact analysis threshold. If the impact analysis value exceeds the preset impact analysis threshold, indicating that the corresponding impact process causes greater damage to the digital display screen, then an impact risk symbol ZY-1 will be assigned to the corresponding external force impact process; the number of times the impact risk symbol ZY-1 is assigned to the digital display screen within the analysis period is obtained and marked as the external force management anomaly value;

[0061] The intervention comprehensive evaluation coefficient is obtained by weighted summation calculation of the intervention preliminary evaluation coefficient, the display card time value, the display card anomaly value, and the external force management anomaly value; that is, corresponding preset weight coefficients are assigned to the intervention preliminary evaluation coefficient, the display card time value, the display card anomaly value, and the external force management anomaly value, the intervention preliminary evaluation coefficient, the display card time value, the display card anomaly value, and the external force management anomaly value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the four sets of product results is marked as the intervention comprehensive evaluation coefficient; moreover, the larger the value of the intervention comprehensive evaluation coefficient, the greater the overall difficulty of manual management for the digital display screen;

[0062] The intervention comprehensive evaluation coefficient is numerically compared with a preset intervention comprehensive evaluation coefficient threshold. If the intervention comprehensive evaluation coefficient exceeds the preset intervention comprehensive evaluation coefficient threshold, indicating that the overall difficulty of manual management for the digital display screen is relatively large, then an intervention strict management signal is generated; if the intervention comprehensive evaluation coefficient does not exceed the preset intervention comprehensive evaluation coefficient threshold, indicating that the overall difficulty of manual management for the digital display screen is relatively small, then an intervention weak management signal is generated.

[0063] Working principle of the present invention: During use, the digital display monitoring module monitors the digital display and its surrounding environment. The operation control optimization model generates a control strategy suitable for the current operation of the digital display based on the monitoring data set. After receiving the control strategy, the low-power control module automatically adjusts the refresh rate and brightness of the digital display, reducing its energy consumption while ensuring the operation effect of the digital display. Moreover, the control normativity decision module comprehensively evaluates the operation control effect of the digital display per unit time. When generating a control non-standard signal, it reminds the supervisor to conduct a cause investigation and analysis and make reasonable improvement measures to ensure the low-power and stable operation of the digital display and improve the control efficiency and effect. When generating a control excellent performance signal, the energy consumption rationality evaluation module detects and analyzes the operation energy consumption status of the digital display. When generating an energy consumption abnormal performance signal, it reminds the supervisor to conduct a cause investigation and analysis and make reasonable improvement measures in a timely manner to further ensure the low-power and stable operation of the digital display, with a high level of intelligence.

[0064] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and changes can be made. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, enabling those skilled in the relevant technical field to understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Low-power digital display intelligent control system based on Internet of Things communication, characterized by: It includes a digital display screen monitoring module, a control strategy generation module, a low-power control module, a control normative decision module and a supervision terminal; the digital display screen monitoring module monitors the digital display screen and its environment, collects the operation data and environment data of the digital display screen and generates a monitoring data set; The control strategy generation module inputs the monitoring data set into the operation control optimization model of the digital display screen, and the operation control optimization model generates a control strategy suitable for the current operation of the digital display screen based on the monitoring data set; After receiving the control strategy, the low-power control module automatically adjusts the refresh rate and brightness of the digital display screen, and sends the control information to the supervision terminal; the control normative decision module conducts a comprehensive evaluation of the operation control effect of the digital display screen per unit time, and generates a control non-normative signal or a control excellent performance signal based on this, and sends the control non-normative signal or the control excellent performance signal to the supervision terminal.

2. According to the low-power digital display intelligent control system based on Internet of Things communication according to claim 1, it is characterized in that: The specific analysis process of the control normative decision module includes: If the refresh rate abnormal value or the brightness abnormal value exceeds the corresponding preset threshold, the digital display screen is judged to be in a control non-compliant state; the total duration of the digital display screen in the control non-compliant state per unit time is obtained and marked as the control abnormal value, and the number of completed efficiency abnormal values ​​per unit time is obtained and the ratio is calculated with the total number of completed efficiency values ​​per unit time to obtain the completed abnormal value; if the control abnormal value or the completed abnormal value exceeds the corresponding preset threshold, a control non-standard signal is generated.

3. According to claim 2, the low-power digital display screen intelligent control system based on Internet of Things communication is characterized in that: If the control abnormality value and the completion abnormality value do not exceed the corresponding preset threshold value, the standard decision coefficient is calculated by weighted summing up the control abnormality value, completion abnormality value, refresh rate abnormality value, brightness abnormality value and completion effect value. If the standard decision coefficient exceeds the preset standard decision coefficient threshold, a control non-standard signal is generated; otherwise, a control excellent performance signal is generated.

4. According to claim 1, the low-power digital display screen intelligent control system based on Internet of Things communication is characterized in that: The control normative decision module is communicatively connected to the energy consumption rationality assessment module. The control normative decision module sends the control optimal performance signal to the energy consumption rationality assessment module. When the energy consumption rationality assessment module receives the control optimal performance signal, it detects and analyzes the operating energy consumption status of the digital display screen per unit time, and sends the energy consumption abnormal performance signal or the energy consumption optimal performance signal to the supervision terminal.

5. According to claim 4, the low-power digital display screen intelligent control system based on Internet of Things communication is characterized in that: The specific analysis process of the energy consumption rationality assessment module is as follows: the number of energy consumption exceeding standard time periods per unit time is obtained and the ratio thereof is calculated with the total number of detection time periods to obtain the low consumption obstacle value; if the low consumption obstacle value exceeds the preset low consumption obstacle threshold, an energy consumption abnormal performance signal is generated.

6. The low-power digital display intelligent control system based on Internet of Things communication according to claim 5 is characterized in that: If the low-consumption obstacle value does not exceed the preset low-consumption obstacle threshold, the energy consumption rationality coefficient is calculated by weighted summing the low-consumption obstacle value, the excess table value and the excess amplitude value. If the energy consumption rationality coefficient exceeds the preset energy consumption rationality coefficient threshold, an energy consumption abnormal performance signal is generated; otherwise, an energy consumption excellent performance signal is generated.

7. The low-power digital display screen intelligent control system based on Internet of Things communication according to claim 1 is characterized in that: The supervision terminal is communicated with the manual intervention judgment module. The manual intervention judgment module is used to set an analysis period of L1 days, analyze and judge the difficulty of manual intervention management of the digital display screen within the analysis period, and send a strict intervention management signal or a weak intervention management signal to the supervision terminal.

8. The low-power digital display screen intelligent control system based on Internet of Things communication according to claim 7 is characterized in that: The specific analysis process of the manual intervention judgment module is as follows: if the intervention initial evaluation coefficient exceeds the preset intervention initial evaluation coefficient threshold, an intervention strict management signal is generated; if the intervention initial evaluation coefficient does not exceed the preset intervention initial evaluation coefficient threshold, the intervention comprehensive evaluation coefficient is obtained through analysis, and if the intervention comprehensive evaluation coefficient exceeds the preset intervention comprehensive evaluation coefficient threshold, an intervention strict management signal is generated; otherwise, an intervention weak management signal is generated.

9. The low-power digital display screen intelligent control system based on Internet of Things communication according to claim 8 is characterized in that: The analysis and acquisition method of the intervention comprehensive evaluation coefficient is as follows: The display card time value is obtained by summing up all the jam detection values ​​corresponding to the digital display screen within the analysis period, and the number of jam detection values ​​exceeding the preset jam detection threshold within the analysis period is marked as display card outliers, and the number of times the impact risk symbol ZY-1 corresponding to the digital display screen within the analysis period is assigned is obtained and marked as the external force tube outlier value; the intervention comprehensive evaluation coefficient is obtained by weightedly summing up the intervention initial evaluation coefficient, display card time value, display card outlier value and external force tube outlier value.

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