LED lamp strip fault monitoring system based on data fusion analysis

Abstract

The invention belongs to the technical field of lamp strip fault monitoring, and particularly relates to an LED lamp strip fault monitoring system based on data fusion analysis, which comprises a lamp strip safety decision module, a lamp strip multi-area monitoring module, a lamp strip brightness uniformity analysis module, a lamp strip brightness stability analysis module and a user terminal. According to the invention, the operation safety of the LED lamp strip is analyzed through the lamp strip safety decision module, the operation of the LED lamp strip is suspended when a safety decision abnormal signal is generated, and the brightness uniformity condition of the LED lamp strip is analyzed when a safety decision qualified signal is generated. According to the method, the brightness stability condition of the LED lamp strip is analyzed when the brightness uniformity qualified signal is generated, and a user is reminded to take corresponding improvement measures when the brightness uniformity signal or the brightness stability abnormal signal is generated, so that the operation effect of the LED lamp strip is ensured, the effective monitoring and accurate feedback of the operation fault of the LED lamp strip are realized, and the user experience is improved. And the operation management difficulty of the LED lamp strip is obviously reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of light strip fault monitoring, and in particular to an LED light strip fault monitoring system based on data fusion analysis. Background Art

[0002] LED light strip refers to LEDs assembled on a strip-shaped flexible circuit board or hard board. It is named because its product shape resembles a strip. LED light strip has the advantages of long service life, green environmental protection, energy saving, adjustable brightness, etc., and because of its shape and characteristics, it has been widely used in various decoration industries;

[0003] At present, when operating and managing LED light strips, it is often difficult to comprehensively evaluate the operating risk of the light strips based on the operating conditions of each lamp bead, and when the operating risk is judged to be low, it is not possible to reasonably analyze the brightness uniformity and brightness stability of the light strips step by step, and it is impossible to effectively monitor and accurately feedback the operating failures of the LED light strips, which increases the difficulty of operating and managing the LED light strips.

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

[0005] The purpose of the present invention is to provide an LED light strip fault monitoring system based on data fusion analysis, which solves the problem that the prior art is difficult to comprehensively evaluate the operating risk of the light strip based on the operating conditions of each lamp bead, and when it is judged that the operating risk is low, it is impossible to reasonably analyze the brightness uniformity and brightness stability of the light strip step by step, and the operation management of the LED light strip is difficult.

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

[0007] LED light strip fault monitoring system based on data fusion analysis, including light strip safety decision module, light strip multi-zone monitoring module, light strip brightness uniformity analysis module, light strip brightness stability analysis module and user terminal;

[0008] During the operation of the LED light strip, the light strip safety decision module analyzes the operation safety of the LED light strip, generates a safety decision abnormality signal or a safety decision qualified signal through analysis, and when the safety decision abnormality signal is generated, it is sent to the user terminal and the LED light strip is suspended;

[0009] When a safety decision qualified signal is generated, it is sent to the light strip multi-area monitoring module. The light strip multi-area monitoring module sets several light areas on the LED light strip, monitors all light areas, and sends the monitoring information of all light areas to the light strip light uniformity analysis module and the light strip light stability analysis module;

[0010] The light strip brightness uniformity analysis module analyzes the brightness uniformity of the LED light strip, generates a brightness uniformity qualified signal or a brightness uniformity abnormal signal, sends the brightness uniformity abnormal signal to the user terminal, and sends the brightness uniformity qualified signal to the light strip brightness stability analysis module;

[0011] When the light strip brightness stability analysis module receives the brightness uniformity qualified signal, it analyzes the brightness stability status of the LED light strip, generates a brightness stability qualified signal or a brightness stability abnormal signal accordingly, and sends the brightness stability abnormal signal to the user terminal.

[0012] Furthermore, the specific operation process of the light strip safety decision module includes:

[0013] Obtain all the lamp beads on the LED light strip, determine the lamp beads with hidden dangers through lamp bead operation judgment analysis, obtain the number of lamp beads with hidden dangers in the LED light strip and mark the ratio of the number of lamp beads with hidden dangers to the total number of lamp beads as the lamp bead hidden danger number inspection value;

[0014] The lamp bead temperature condition decision value of the corresponding lamp bead with hidden dangers is marked as the lamp bead temperature condition over-detection value compared with the preset lamp bead temperature condition decision threshold value, the lamp bead temperature condition over-detection value of all lamp bead with hidden dangers is averaged to obtain the lamp bead temperature condition over-analysis value, and the lamp bead temperature condition over-detection value with the largest value is marked as the lamp bead temperature condition over-amplitude value;

[0015] The light strip safety decision value is obtained by numerically calculating the lamp bead hidden danger inspection value, the lamp bead temperature over-analysis value and the lamp bead temperature over-amplitude value, and the light strip safety decision value is numerically compared with the preset light strip safety decision threshold. If the light strip safety decision value exceeds the preset light strip safety decision threshold, a safety decision abnormal signal is generated; if the light strip safety decision value does not exceed the preset light strip safety decision threshold, a safety decision qualified signal is generated.

[0016] Furthermore, the specific analysis process of determining the lamp beads with hidden dangers through lamp bead operation judgment analysis is as follows:

[0017] The temperature growth rate of the corresponding lamp bead during the detection period is collected and marked as the lamp bead temperature increase detection value, and the temperature of the corresponding lamp bead at all times during the detection period is averaged to obtain the lamp bead temperature meter detection value; the lamp bead temperature increase detection value and the lamp bead temperature meter detection value are numerically calculated to obtain the lamp bead temperature condition decision value, and the lamp bead temperature condition decision value is numerically compared with the preset lamp bead temperature condition decision threshold. If the lamp bead temperature condition decision value exceeds the preset lamp bead temperature condition decision threshold, the corresponding lamp bead is marked as a hidden danger lamp bead.

[0018] Furthermore, the specific analysis process of the light strip brightness uniformity analysis module is as follows:

[0019] The light brightness of all bright areas is collected, and the variance of the light brightness of all illuminated areas at the corresponding moment is calculated to obtain the non-uniformity coefficient; the non-uniformity coefficient is numerically compared with the preset non-uniformity coefficient threshold. If the non-uniformity coefficient exceeds the preset non-uniformity coefficient threshold, it is determined that the LED light strip is in a non-uniform state at the corresponding moment;

[0020] When it is determined that the LED light strip is in a non-uniform lighting state, the timing starts and ends until the non-uniform lighting state ends, thereby obtaining the non-uniform duration; all non-uniform durations within the detection period are obtained and summed up to obtain the non-uniform total time value, and the non-uniform total time value is numerically compared with the preset non-uniform total time threshold. If the non-uniform total time value exceeds the preset non-uniform total time threshold, a brightness uniformity abnormality signal is generated.

[0021] Furthermore, if the non-uniform total time value does not exceed the preset non-uniform total time threshold, the non-uniform duration is numerically compared with the preset non-uniform duration threshold, and the number of occurrences of the non-uniform duration exceeding the preset non-uniform duration threshold during the detection period is marked as the non-uniform high value, and all non-uniform coefficients of the LED light strip during the detection period are averaged to obtain the illumination uniformity value;

[0022] The brightness uniformity analysis value is obtained by numerically calculating the non-uniform total time value, the non-uniform high holding value and the illumination uniformity anomaly value, and the brightness uniformity analysis value is numerically compared with the preset brightness uniformity analysis threshold. If the brightness uniformity analysis value exceeds the preset brightness uniformity analysis threshold, a brightness uniformity abnormality signal is generated; if the brightness uniformity analysis value does not exceed the preset brightness uniformity analysis threshold, a brightness uniformity qualified signal is generated.

[0023] Furthermore, the specific analysis process of the light strip brightness stability analysis module is as follows:

[0024] By analyzing and obtaining the regional illumination judgment coefficient of the corresponding bright area in the detection period, the regional illumination judgment coefficient is numerically compared with the preset regional illumination judgment coefficient threshold. If the regional illumination judgment coefficient exceeds the preset regional illumination judgment coefficient threshold, the corresponding bright area is marked as a brightness abnormal area.

[0025] The number of brightness difference areas on the LED light strip is obtained and marked as brightness difference area condition values, and the regional illumination judgment coefficients of all brightness areas are averaged to obtain the illumination decision value, and the brightness difference area occupancy value and the illumination decision value are numerically compared with the preset brightness difference area occupancy threshold and the preset illumination decision threshold respectively. If the brightness difference area occupancy value or the illumination decision value exceeds the corresponding preset threshold, a brightness stability abnormality signal is generated; if the brightness difference area occupancy value or the illumination decision value does not exceed the corresponding preset threshold, a brightness stability qualified signal is generated.

[0026] Furthermore, the analysis and acquisition method of the regional illumination judgment coefficient is as follows:

[0027] Collect the light brightness curve of the corresponding bright area during the detection period, establish a rectangular coordinate system in the first quadrant with time as the X-axis and light brightness as the Y-axis, place the light brightness curve in the rectangular coordinate system, and the starting point of the light brightness curve is on the Y-axis;

[0028] In a rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a light determination ray, a number of detection points are set on the light illuminance curve, a line segment perpendicular to the light determination ray is drawn with the corresponding detection point as the endpoint and marked as a light distance line segment, and the length of the corresponding light distance line segment is marked as a light distance detection value, and the Y-direction distance between two adjacent groups of detection points is marked as a light wave detection value;

[0029] The proportion of the number of light distance detection values ​​exceeding the preset light distance detection threshold value in the detection period is marked as the light distance abnormality value, and the proportion of the number of light wave detection values ​​exceeding the preset light wave detection threshold value in the detection period is marked as the light wave abnormality value, and all the light distance detection values ​​in the detection period are averaged to obtain the light distance performance value, and all the light wave detection values ​​in the detection period are averaged to obtain the light wave performance value;

[0030] The regional illumination judgment coefficient is obtained by numerically calculating the light distance anomaly value, light wave anomaly value, light distance performance value and light wave performance value.

[0031] Furthermore, the user terminal is communicatively connected to the light strip performance output module, which is used to set a monitoring period, analyze and evaluate the performance of the LED light strip during the monitoring period, determine whether to generate a performance warning signal through analysis, and send the performance warning signal to the user terminal.

[0032] Furthermore, the specific analysis process of the light strip performance output module is as follows:

[0033] The total operating time of the LED light strip during the monitoring period is collected and marked as the light strip operation time value, and the ratio of the number of times the safety decision abnormal signal is generated during the monitoring period to the light strip operation time value is marked as the safety abnormality detection value; and the sum of the number of times the brightness stability abnormal signal is generated and the number of times the brightness uniformity abnormal signal is generated are calculated, and the sum result is calculated by ratio with the light strip operation time value to obtain the brightness abnormality detection value;

[0034] When the user issues a corresponding control instruction to the LED light strip through the user terminal or physical button, if the LED light strip fails to complete the operation of the corresponding control instruction within the corresponding specified time, the instruction execution symbol PY-1 is assigned; the number of times the instruction execution symbol PY-1 is generated during the monitoring period is obtained and the ratio is calculated with the total number of times the control instructions are issued during the monitoring period to obtain the instruction execution exception value;

[0035] The performance output value of the light strip is obtained by numerically calculating the safety anomaly detection value, the brightness anomaly detection value and the instruction execution anomaly value, and the light strip performance output value is numerically compared with the preset light strip performance output threshold. If the light strip performance output value exceeds the preset light strip performance output threshold, a performance warning signal is generated.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, the operation safety of the LED light strip is analyzed through the light strip safety decision module, and the operation of the LED light strip is suspended when a safety decision abnormal signal is generated. When a safety decision qualified signal is generated, the brightness uniformity and brightness stability of the LED light strip are analyzed step by step. When a brightness uniformity signal or a brightness stability abnormal signal is generated, the user is reminded to take corresponding improvement measures, which is conducive to ensuring the operation effect of the LED light strip, realizing effective monitoring and accurate feedback of the operation failure of the LED light strip, and significantly reducing the difficulty of operation management of the LED light strip;

[0038] 2. In the present invention, the performance of the LED light strip during the monitoring period is analyzed and evaluated through the light strip performance output module to determine whether to generate a performance warning signal. When the performance warning signal is generated, the user is reminded to strengthen the operation supervision and maintenance of the LED light strip or to eliminate and replace the LED light strip, thereby ensuring the subsequent safety and effect of use, further reducing the difficulty of operation management of the LED light strip, and having a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0041] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: Figure 1 As shown, the LED light strip fault monitoring system based on data fusion analysis proposed in the present invention includes a light strip safety decision module, a light strip multi-zone monitoring module, a light strip brightness uniformity analysis module, a light strip brightness stability analysis module and a user terminal; it should be noted that the user issues corresponding control instructions through the user terminal or physical buttons related to the LED light strip to control operations such as turning on, off or brightness adjustment of the LED light strip.

[0044] During the operation of the LED light strip, the light strip safety decision module analyzes the operation safety of the LED light strip, generates a safety decision abnormality signal or a safety decision qualified signal through analysis, and sends it to the user terminal when the safety decision abnormality signal is generated and suspends the operation of the LED light strip. It can reasonably analyze and accurately feedback the operation risk of the LED light strip, and significantly reduce the safety hazards during the operation of the LED light strip. The specific operation process of the light strip safety decision module is as follows:

[0045] Obtain all the lamp beads on the LED light strip, collect the temperature growth rate of the corresponding lamp beads during the detection period and mark it as the lamp bead temperature increase detection value, and calculate the average temperature of the corresponding lamp bead at all times during the detection period to obtain the lamp bead temperature meter detection value;

[0046] The lamp bead temperature increase detection value YN and the lamp bead temperature meter detection value YM are numerically calculated by the formula YS=wg1*YN+wg2*YM to obtain the lamp bead temperature condition decision value YS; wherein wg1 and wg2 are preset weight coefficients with values ​​greater than zero, and the larger the value of the lamp bead temperature condition decision value YS is, the more abnormal the operation of the corresponding lamp bead is, and the greater the operating safety hazard is;

[0047] Compare the lamp bead temperature decision value YS with the preset lamp bead temperature decision threshold. If the lamp bead temperature decision value YS exceeds the preset lamp bead temperature decision threshold, it indicates that the operation of the corresponding lamp bead is relatively abnormal and the operation safety hazard is relatively large. Then the corresponding lamp bead is marked as a lamp bead with hidden dangers, and the number of lamp bead with hidden dangers in the LED light strip is obtained and the ratio of the number of lamp bead with hidden dangers to the total number of lamp beads is marked as the lamp bead hidden danger number inspection value.

[0048] The lamp bead temperature condition decision value of the corresponding lamp bead with hidden dangers is marked as the lamp bead temperature condition over-detection value compared with the preset lamp bead temperature condition decision threshold value, the lamp bead temperature condition over-detection value of all lamp bead with hidden dangers is averaged to obtain the lamp bead temperature condition over-analysis value, and the lamp bead temperature condition over-detection value with the largest value is marked as the lamp bead temperature condition over-amplitude value;

[0049] The lamp bead hidden danger detection value FY, the lamp bead temperature over-analysis value FH and the lamp bead temperature over-amplitude value FM are numerically calculated by the formula FX=uk1*FY+(uk2*FH+uk3*FM) / 2 to obtain the light strip safety decision value FX; wherein uk1, uk2 and uk3 are preset proportional coefficients, uk1>uk2>uk3>0; and the larger the value of the light strip safety decision value FX, the greater the overall operation risk of the LED light strip during the detection period;

[0050] The light strip safety decision value is numerically compared with the preset light strip safety decision threshold. If the light strip safety decision value exceeds the preset light strip safety decision threshold, indicating that the overall operation risk of the LED light strip during the detection period is relatively large, a safety decision abnormal signal is generated; if the light strip safety decision value does not exceed the preset light strip safety decision threshold, indicating that the overall operation risk of the LED light strip during the detection period is relatively small, a safety decision qualified signal is generated.

[0051] When a safety decision-qualified signal is generated, it is sent to the light strip multi-zone monitoring module. The light strip multi-zone monitoring module divides several light areas on the LED light strip, monitors all light areas, and sends the monitoring information of all light areas to the light strip brightness uniformity analysis module and the light strip brightness stability analysis module to achieve comprehensive monitoring of the LED light strip and provide data support for the analysis process of the light strip brightness uniformity analysis module and the light strip brightness stability analysis module.

[0052] The light strip brightness uniformity analysis module analyzes the brightness uniformity of the LED light strip, generates a brightness uniformity qualified signal or a brightness uniformity abnormal signal, and sends the brightness uniformity abnormal signal to the user terminal. When the user terminal receives the brightness uniformity abnormal signal, it issues a corresponding warning. When the user receives the corresponding warning, he can take corresponding improvement measures as needed to ensure the operation effect of the LED light strip; the specific analysis process of the light strip brightness uniformity analysis module is as follows:

[0053] The light brightness of all bright areas is collected, and the variance of the light brightness of all illuminated areas at the corresponding moment is calculated to obtain the non-uniformity coefficient; it should be noted that the larger the value of the non-uniformity coefficient, the greater the deviation of the light brightness of each area on the LED light strip at the corresponding moment; the non-uniformity coefficient is numerically compared with the preset non-uniformity coefficient threshold value. If the non-uniformity coefficient exceeds the preset non-uniformity coefficient threshold value, it indicates that the light brightness deviation of each area on the LED light strip at the corresponding moment is large, and it is judged that the LED light strip is in a non-uniform state of light at the corresponding moment;

[0054] When it is determined that the LED light strip is in a non-uniform lighting state, the timing starts and ends until the non-uniform lighting state ends, thereby obtaining the non-uniform duration; all non-uniform durations within the detection period are obtained and summed up to obtain the non-uniform total time value, and the non-uniform total time value is numerically compared with the preset non-uniform total time threshold. If the non-uniform total time value exceeds the preset non-uniform total time threshold, it indicates that the brightness uniformity of the LED light strip during the detection period is poor, and a brightness uniformity abnormality signal is generated.

[0055] Furthermore, if the total non-uniform time value does not exceed the preset non-uniform total time threshold, the non-uniform duration is numerically compared with the preset non-uniform duration threshold, and the number of occurrences of the non-uniform duration exceeding the preset non-uniform duration threshold during the detection period is marked as the non-uniform high value, and all non-uniform coefficients of the LED light strip during the detection period are averaged to obtain the illumination uniformity value;

[0056] By formula The non-uniform total time value XS, the non-uniform high holding value XL and the light uniformity value XP are numerically calculated to obtain the brightness uniformity analysis value XF; wherein, hg1, hg2, and hg3 are preset proportional coefficients, hg2>hg3>hg1>0.25; and, the larger the value of the brightness uniformity analysis value XF, the worse the brightness uniformity performance of the LED light strip during the detection period is overall;

[0057] The brightness uniformity analysis value XF is numerically compared with the preset brightness uniformity analysis threshold. If the brightness uniformity analysis value XF exceeds the preset brightness uniformity analysis threshold, it indicates that the brightness uniformity performance of the LED light strip during the detection period is generally poor, and a brightness uniformity abnormality signal is generated; if the brightness uniformity analysis value XF does not exceed the preset brightness uniformity analysis threshold, it indicates that the brightness uniformity performance of the LED light strip during the detection period is generally good, and a brightness uniformity qualified signal is generated.

[0058] The light strip brightness uniformity analysis module sends the brightness uniformity qualified signal to the light strip brightness stability analysis module. When the light strip brightness stability analysis module receives the brightness uniformity qualified signal, it analyzes the brightness stability status of the LED light strip, and generates a brightness stability qualified signal or a brightness stability abnormal signal accordingly, and sends the brightness stability abnormal signal to the user terminal. When the user terminal receives the brightness stability abnormal signal, it issues a corresponding warning. When the user receives the corresponding warning, he or she takes corresponding improvement measures as needed, thereby further ensuring the operation effect of the LED light strip and significantly reducing the difficulty of operation management of the LED light strip. The specific analysis process of the light strip brightness stability analysis module is as follows:

[0059] Collect the light brightness curve of the corresponding bright area during the detection period, establish a rectangular coordinate system in the first quadrant with time as the X-axis and light brightness as the Y-axis, place the light brightness curve in the rectangular coordinate system, and the starting point of the light brightness curve is on the Y-axis;

[0060] In a rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a light determination ray, a number of detection points are set on the light illuminance curve, a line segment perpendicular to the light determination ray is drawn with the corresponding detection point as the endpoint and marked as a light distance line segment, and the length of the corresponding light distance line segment is marked as a light distance detection value, and the Y-direction distance between two adjacent groups of detection points is marked as a light wave detection value;

[0061] Compare the light distance detection value with the preset light distance detection threshold, and mark the number of light distance detection values ​​exceeding the preset light distance detection threshold in the detection period as the light distance abnormality value; compare the light wave detection value with the preset light wave detection threshold, and mark the number of light wave detection values ​​exceeding the preset light wave detection threshold in the detection period as the light wave abnormality value; and calculate the average of all light distance detection values ​​in the detection period to obtain the light distance performance value, and calculate the average of all light wave detection values ​​in the detection period to obtain the light wave performance value;

[0062] The light distance difference value QF, the light wave difference value QY, the light distance performance value QM and the light wave performance value QX are numerically calculated by the formula QW=b1*QF+b2*QY+(b3*QM+b4*QX) / (b1+b2) to obtain the regional illumination judgment coefficient QW; wherein b1, b2, b3, and b4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional illumination judgment coefficient QW, the more unstable the illumination of the corresponding bright area during the detection period;

[0063] Compare the regional illumination judgment coefficient QW with the preset regional illumination judgment coefficient threshold. If the regional illumination judgment coefficient QW exceeds the preset regional illumination judgment coefficient threshold, indicating that the illumination of the corresponding bright area during the detection period is unstable, the corresponding bright area is marked as a brightness abnormal area.

[0064] The number of different brightness areas on the LED light strip is obtained and marked as different brightness area condition values, and the regional illumination judgment coefficients of all the bright areas are averaged to obtain the illumination decision value, and the different brightness area occupancy value and the illumination decision value are numerically compared with the preset different brightness area occupancy threshold and the preset illumination decision threshold respectively;

[0065] If the proportion of the brightness difference area or the lighting decision value exceeds the corresponding preset threshold, it indicates that the lighting stability performance of the LED light strip during the detection period is generally poor, and a brightness stability abnormality signal is generated; if the proportion of the brightness difference area or the lighting decision value does not exceed the corresponding preset threshold, it indicates that the lighting stability performance of the LED light strip during the detection period is generally good, and a brightness stability qualified signal is generated.

[0066] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the user terminal is connected to the light strip performance output module by communication, and the light strip performance output module is used to set a monitoring period, preferably, the monitoring period is fifteen days; the performance of the LED light strip during the monitoring period is analyzed and evaluated, and whether a performance warning signal is generated through analysis;

[0067] And send the performance warning signal to the user terminal. When the user terminal receives the performance warning signal, it issues a corresponding warning. When the user receives the corresponding warning, he / she will strengthen the operation supervision and maintenance of the LED light strip in the future, or replace the LED light strip as needed, so as to ensure the subsequent use safety and effect, and reduce the difficulty of operation management of the LED light strip. The specific analysis process of the light strip performance output module is as follows:

[0068] The total operating time of the LED light strip during the monitoring period is collected and marked as the light strip operation time value, and the ratio of the number of times the safety decision abnormal signal is generated during the monitoring period to the light strip operation time value is marked as the safety abnormality detection value; and the sum of the number of times the brightness stability abnormal signal is generated and the number of times the brightness uniformity abnormal signal is generated are calculated, and the sum result is calculated by ratio with the light strip operation time value to obtain the brightness abnormality detection value;

[0069] When the user issues a corresponding control instruction to the LED light strip through the user terminal or physical button, if the LED light strip fails to complete the operation of the corresponding control instruction within the corresponding specified time, indicating that the execution efficiency of the corresponding control instruction is slow, the instruction execution symbol PY-1 is assigned; the number of times the instruction execution symbol PY-1 is generated during the monitoring period is obtained and the ratio is calculated with the total number of times the control instructions are issued during the monitoring period to obtain the instruction execution exception value;

[0070] The safety error detection value LP, the brightness error detection value LM and the instruction error detection value LS are numerically calculated by the formula LX=(sg1*LP+sg2*LM+sg3*LS) / 3 to obtain the light strip performance output value LX; wherein sg1, sg2 and sg3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the light strip performance output value LX, the worse the overall performance of the LED light strip;

[0071] The light strip performance output value LX is numerically compared with the preset light strip performance output threshold. If the light strip performance output value LX exceeds the preset light strip performance output threshold, it indicates that the overall performance of the LED light strip is poor, and it is necessary to strengthen the operation supervision of the LED light strip in the future or eliminate and replace the LED light strip as needed, then a performance warning signal is generated.

[0072] The working principle of the present invention is as follows: when in use, the operation safety of the LED light strip is analyzed through the light strip safety decision module, and the LED light strip is suspended when a safety decision abnormal signal is generated, so that the operation risk of the LED light strip can be reasonably analyzed and accurately fed back, and the potential safety hazard in the operation of the LED light strip is significantly reduced; when a safety decision qualified signal is generated, all light areas of the LED light strip are monitored through the light strip multi-area monitoring module, and the light strip brightness uniformity analysis module analyzes the brightness uniformity of the LED light strip; when a brightness uniformity qualified signal is generated, the light strip brightness stability analysis module analyzes the brightness stability of the LED light strip; when a brightness uniformity signal or a brightness stability abnormal signal is generated, the user is reminded to take corresponding improvement measures, which is beneficial to ensuring the operation effect of the LED light strip, realizing effective monitoring and accurate feedback of the operation failures of the LED light strip, and significantly reducing the difficulty of operation management of the LED light strip.

[0073] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The LED light strip fault monitoring system based on data fusion analysis is characterized by: It includes a light strip safety decision module, a light strip multi-zone monitoring module, a light strip brightness uniformity analysis module, a light strip brightness stability analysis module and a user terminal; During the operation of the LED light strip, the light strip safety decision module analyzes the operation safety of the LED light strip, generates a safety decision abnormality signal or a safety decision qualified signal through analysis, and when the safety decision abnormality signal is generated, it is sent to the user terminal and the LED light strip is suspended; When generating a safety decision qualified signal, the light strip multi-area monitoring module divides several light areas on the LED light strip, monitors all light areas, and sends the monitoring information of all light areas to the light strip light uniformity analysis module and the light strip light stability analysis module; The light strip brightness uniformity analysis module analyzes the brightness uniformity of the LED light strip, generates a brightness uniformity qualified signal or a brightness uniformity abnormal signal, sends the brightness uniformity abnormal signal to the user terminal, and sends the brightness uniformity qualified signal to the light strip brightness stability analysis module; When the light strip brightness stability analysis module receives the brightness uniformity qualified signal, it analyzes the brightness stability status of the LED light strip, generates a brightness stability qualified signal or a brightness stability abnormal signal accordingly, and sends the brightness stability abnormal signal to the user terminal.

2. The LED light strip fault monitoring system based on data fusion analysis according to claim 1 is characterized in that: The specific operation process of the light strip safety decision module includes: All the lamp beads on the LED light strip are obtained, and the lamp beads with hidden dangers are determined through lamp bead operation judgment analysis. The lamp bead hidden danger inspection value, lamp bead temperature over-analysis value and lamp bead temperature over-amplitude value are numerically calculated to obtain the light strip safety decision value. If the light strip safety decision value exceeds the preset light strip safety decision threshold, a safety decision abnormal signal is generated; if the light strip safety decision value does not exceed the preset light strip safety decision threshold, a safety decision qualified signal is generated.

3. The LED light strip fault monitoring system based on data fusion analysis according to claim 2 is characterized in that: The specific analysis process of determining the hidden danger lamp beads through lamp bead operation judgment analysis is as follows: The lamp bead temperature increase detection value and the lamp bead temperature meter detection value are numerically calculated to obtain the lamp bead temperature condition decision value. If the lamp bead temperature condition decision value exceeds the preset lamp bead temperature condition decision threshold, the corresponding lamp bead will be marked as a hidden danger lamp bead.

4. The LED light strip fault monitoring system based on data fusion analysis according to claim 1 is characterized in that: The specific analysis process of the light strip brightness uniformity analysis module is as follows: The light brightness of all bright areas is collected, and the variance of the light brightness of all bright areas at the corresponding moment is calculated to obtain the non-uniformity coefficient; if the non-uniformity coefficient exceeds the preset non-uniformity coefficient threshold, it is judged that the LED light strip is in a non-uniform lighting state at the corresponding moment; if the total non-uniform time value exceeds the preset non-uniform total time threshold, a brightness uniformity abnormality signal is generated.

5. The LED light strip fault monitoring system based on data fusion analysis according to claim 4 is characterized in that: If the total non-uniform time value does not exceed the preset total non-uniform time threshold, the brightness uniformity analysis value is obtained by numerically calculating the total non-uniform time value, the non-uniform high holding value and the illumination uniformity abnormality value. If the brightness uniformity analysis value exceeds the preset brightness uniformity analysis threshold, a brightness uniformity abnormality signal is generated; if the brightness uniformity analysis value does not exceed the preset brightness uniformity analysis threshold, a brightness uniformity qualified signal is generated.

6. The LED light strip fault monitoring system based on data fusion analysis according to claim 1 is characterized in that: The specific analysis process of the light strip brightness stability analysis module is as follows: By analyzing the regional illumination judgment coefficient of the corresponding brightness area in the detection period, if the brightness difference area ratio or the illumination decision value exceeds the corresponding preset threshold, a brightness stability abnormality signal is generated; if the brightness difference area ratio or the illumination decision value does not exceed the corresponding preset threshold, a brightness stability qualified signal is generated.

7. The LED light strip fault monitoring system based on data fusion analysis according to claim 6, characterized in that: The specific method for analyzing and obtaining the regional illumination judgment coefficient is as follows: Collect the light brightness curve of the corresponding bright area during the detection period, establish a rectangular coordinate system in the first quadrant with time as the X-axis and light brightness as the Y-axis, place the light brightness curve in the rectangular coordinate system, and the starting point of the light brightness curve is on the Y-axis; In the rectangular coordinate system, a ray parallel to the X-axis and with its endpoint on the Y-axis is drawn and marked as a light judgment ray. The regional illumination judgment coefficient is obtained by numerically calculating the light distance anomaly, light wave anomaly, light distance performance value and light wave performance value.

8. The LED light strip fault monitoring system based on data fusion analysis according to claim 1, characterized in that: The user terminal is communicated with the light strip performance output module, which is used to set a monitoring period, analyze and evaluate the performance of the LED light strip during the monitoring period, determine whether to generate a performance warning signal through analysis, and send the performance warning signal to the user terminal.

9. The LED light strip fault monitoring system based on data fusion analysis according to claim 8, characterized in that: The specific analysis process of the light strip performance output module is as follows: The performance output value of the light strip is obtained by numerically calculating the safety abnormality detection value, the brightness abnormality detection value and the instruction execution abnormality value. If the performance output value of the light strip exceeds the preset light strip performance output threshold, a performance warning signal is generated.

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