707results about "Lamps testing" patented technology

The invention discloses a matrix layout illumination state detection method, device and equipment, and the method comprises the steps: collecting and analyzing a power supply bus current waveform and a single lamp feedback signal, and generating a node feature cluster; extracting a power consumption difference value of adjacent lamps, identifying an abnormal observation point and constructing a fault diffusion chain; marking a timestamp for the fault diffusion chain, determining a fault source, and marking current by injecting characteristics to delimit an influence domain; deploying monitoring anchor points at the boundary of the influence domain, collecting the light color parameter variation and predicting the residual life; extracting the oscillation envelope of the starting current peak, evaluating the health degree of the driver and generating a maintenance density field; and a three-dimensional detection field is constructed by fusing multi-dimensional detection data, singular points are searched, and coordinates of a fault lamp are accurately analyzed through fault positioning pulses. According to the invention, three-dimensional monitoring from electrical characteristics and optical performance to driver states is realized, a single lamp fault can be accurately positioned, a life trend can be predicted, fault propagation can be tracked, and technical support is provided for intelligent operation and maintenance of a large-scale illumination system.

The invention relates to the technical field of electronic circuit detection, in particular to a detection method for checking abnormal work of a lamp, which comprises the following steps: acquiring the consistency of a lighting state and voltage, extracting abnormal response, checking power supply connection and checking non-response, monitoring and controlling the relationship between output and current action starting, and analyzing response continuity. And detecting branch voltage difference change and direction, monitoring voltage jump and current response starting point performance, extracting response data, and obtaining a classification result. According to the invention, through cooperative detection of voltage and current response behaviors, in combination with path voltage difference direction change and time sequence characteristics, a load abnormal response section is identified step by step, the abnormal state identification capability is enhanced, an action time sequence cross validation mode is adopted to replace a traditional static judgment process, misjudgment interference is reduced, and manual intervention requirements are reduced; therefore, the detection process is more continuous, the related operation is universal, the method can be suitable for various lamp structures, the troubleshooting precision is improved, and the execution cost is controlled at the same time.

The invention relates to the technical field of LED street lamp control, and discloses an LED street lamp test control system, which comprises a multi-dimensional acquisition module and a test control module. According to the LED street lamp test control system, management data and optical detection data of all LED street lamps and sensing data of the working environment of the LED street lamps are acquired through a multi-dimensional acquisition module and are classified to form a data set, a test control module analyzes the switching delay degree and the dimming smoothness of each LED street lamp, corresponding switching fluctuation rate and smoothing coefficient are generated, and the switching fluctuation rate and the smoothing coefficient are calculated. The LED street lamp with abnormal delay is accurately identified, the light attenuation degree of each LED street lamp is analyzed, the corresponding light attenuation coefficient is generated, the root of the light attenuation problem is accurately judged, the multi-dimensional analysis accuracy is high, the fluctuation threshold value, the smooth threshold value and the light attenuation threshold value of the fixed range are set, whether the LED street lamp has the switching delay problem and the function fault or not is judged, and the LED street lamp is high in accuracy. And the corresponding management suggestions are automatically output according to the environment adaptability to the working environment, so that the fault expansion is avoided, and the intelligent decision-making reliability is high.

The invention relates to the technical field of lighting electrical testing, in particular to a lamp testing system and method, and the system comprises an electrical parameter collection module, a harmonic analysis module, an optical collection module, a light fluctuation analysis module and an abnormality judgment module. Wherein the electrical parameter acquisition module is used for acquiring a real-time voltage waveform of an input end of a lamp; the harmonic analysis module is used for extracting a fundamental wave and each harmonic component and calculating a harmonic distortion rate; the optical acquisition module is used for synchronously acquiring light signal time sequence data of the light emitting surface of the lamp; the light fluctuation analysis module calculates the light fluctuation frequency of the light source; and the abnormity judgment module is used for generating an electrical-optical relevance index and comparing the electrical-optical relevance index with a preset threshold value so as to output a stroboscopic qualification judgment result of the lamp. According to the method, the accuracy of lamp stroboscopic detection and the causal identification capability are effectively improved by constructing the electrical-optical correlation index and realizing synchronous judgment.

The invention provides a vehicle lamp test case intelligent generation method and system based on a knowledge graph, and relates to the technical field of vehicle lamp test. Comprising the steps of analyzing a test demand according to a customer product demand document, generating a test case according to a vehicle lamp test knowledge graph, filtering invalid test cases and performing case verification, feeding back a test report and updating the vehicle lamp test knowledge graph. According to the method, the test requirements and the index parameters are extracted through the natural language processing technology, intelligent generation of the test cases is achieved in combination with the knowledge graph, invalid cases are filtered through the reinforcement learning agent, the effectiveness and the test efficiency of the test cases are improved, and industrial standards and regulation requirements are met.

The invention discloses an LED lamp bead production detection system based on machine vision, which relates to the technical field of machine vision production detection and comprises a vision acquisition module, a production detection module and an execution learning module. In the prior art, the detection precision is insufficient, and the influence of illumination change and environment interference is large; the adaptability is poor, and the system cannot adapt to LED lamp beads of different specifications; surface defect detection is difficult due to the influence of illumination change on image quality; manual intervention is much and low in efficiency, and manual defect screening is low in efficiency and is easily interfered by human factors; the production process is not optimized enough, problems occurring in production cannot be fed back and adjusted in time, and quality and efficiency are affected; according to the invention, ASIC image processing, machine learning, path planning, a light supplementing technology and automatic elimination operation are integrated, so that the detection precision, adaptability, automation level and production optimization capability of the system are improved; the comprehensiveness and accuracy of detection are ensured in multiple dimensions, and the qualified rate of products is effectively improved.

A trailer test module of a vehicle is electrically connected between a trailer tow electrical connector of the vehicle and a wiring harness of the vehicle that carries electrical signals for a trailer such that when the electrical connector of the trailer is attached to the trailer tow electrical connector, the trailer tow electrical connector is between the trailer test module and the electrical connector of the trailer. The trailer test module includes circuitry that replicates an electrical load of the trailer.

The invention discloses an urban intelligent lighting wireless monitoring method and system, and relates to the technical field of intelligent lighting. The method comprises the following steps: acquiring data of lighting equipment and a multi-dimensional sensor, setting the lighting equipment as nodes, setting a dynamic coupling coefficient between the nodes as an edge weight, and constructing a lighting topology model; performing quantum state feature mapping on the multi-dimensional sensor data, constructing a topological manifold tensor, calculating a topological invariant through manifold decomposition, and generating an abnormal alarm when the topological invariant is greater than a set threshold value; and when an abnormal alarm is detected, obtaining all adjacent lighting devices of an abnormal node, constructing a target function, solving to obtain power and lighting brightness of the adjacent lighting devices, and performing adjustment. Through combination of quantum state feature mapping, topological flow decomposition and dynamic coupling coefficients, multi-dimensional sensor data are precisely processed, high-precision monitoring, energy management optimization and dynamic dimming are realized, and meanwhile, stable operation of the system is ensured through global optimization and an intelligent repair mechanism.

The invention relates to the technical field of LED lamp testing, and discloses an LED lamp testing method and device, testing equipment, a testing system and a storage medium, and the method comprises the steps: generating a corresponding adjustment parameter based on a preset adjustment instruction, and transmitting the adjustment parameter to a to-be-tested device, the to-be-tested equipment is used for adjusting the LED lamp and the camera according to the adjusting parameters; sending a shooting instruction to the to-be-tested equipment, so that the to-be-tested equipment irradiates the standard color card with light emitted by the adjusted LED lamp, and shooting the standard color card through the adjusted camera to obtain a target image; and obtaining a test result corresponding to the LED lamp according to the target image. According to the invention, through synchronous adjustment and collection of cooperative output of illumination and imaging under a controllable condition, integrated performance evaluation of the LED lamp on the to-be-tested device is realized, and a single LED lamp does not need to be disassembled to be tested, so that the test process is simplified.

The invention discloses a rapid aging test device and evaluation method for an LED advertising lamp box, and relates to the field of aging test devices.The rapid aging test device comprises an end base and a supporting table, a lower test area is fixedly arranged on the upper side of the end base, a middle test area is installed on the upper side of the lower test area, and an upper test area is installed on the upper side of the middle test area; a top frame is fixedly mounted at the top of the upper test area, a supporting frame is connected to the bottom of the end seat, a base is fixedly connected to the bottom of the supporting frame, universal wheel mounting hole positions are formed in the bottom of the base, and the base is placed in the aging test room. According to the rapid aging test device for the LED advertising lamp box, the three-dimensional space of a test room is fully utilized through the layered and partitioned design, the containing capacity of a unit area is greatly improved, space waste caused by plane placement is avoided, LED lamp boxes of multiple batches and multiple models can be tested at the same time, and the test efficiency is improved.

The invention relates to the technical field of fault diagnosis, in particular to an intelligent street lamp fault diagnosis and maintenance system, which comprises a signal collaborative acquisition module, a frequency domain conversion module, a fault identification module, a coupling verification module and a maintenance scheduling module. According to the invention, through a multi-source data synchronous acquisition and time sequence alignment technology, the influence of external environment interference on monitoring data is eliminated, and the stability and accuracy of photoelectric signals are ensured. Stable signal features are extracted through frequency domain conversion and feature screening, accurate fault recognition is achieved based on frequency components and similarity calculation, multi-dimensional verification is conducted in combination with instantaneous power comparison and communication delay detection, the accuracy and reliability of fault judgment are improved, therefore, misjudgment and missed judgment are avoided, maintenance scheduling is optimized, and the fault diagnosis efficiency is improved. The fault response efficiency and the overall stability of the street lamp system are improved, maintenance lag and resource waste caused by inaccurate fault diagnosis are effectively reduced, and the operation reliability and the maintenance response speed of the street lamp are improved.

The invention provides a traffic signal lamp data quality detection method, a traffic signal lamp data quality correction method and related equipment, and the method comprises the steps: receiving traffic signal lamp data reported by traffic signal lamp equipment in real time based on a distributed stream processing architecture, carrying out the structural processing, and extracting equipment identification, timestamp, signal state, phase information and other fields; in a distributed stream processing architecture, anomaly detection tasks of multiple dimensions of data timeliness, signal logic consistency and equipment online state are executed in parallel, data quality marks including anomaly types and corresponding anomaly parameter values are generated, and traffic signal lamp data with quality labels are formed. And for the detected abnormal data, executing corresponding data correction strategies according to different abnormal types, and issuing the corrected traffic signal lamp data to a downstream service module for use. According to the invention, high-concurrency and low-delay data processing is realized in a scene of dense deployment of multi-source traffic signal lamp equipment, and the real-time performance and accuracy of the traffic signal lamp data are improved.

The invention discloses a pump lamp tube fault accurate diagnosis system based on multi-parameter data analysis, and relates to the technical field of industrial automation monitoring, and the system comprises a multi-parameter acquisition and unique fault judgment algorithm, a multi-parameter acquisition module is connected with a high-precision current transformer, an infrared temperature sensor, a miniature pressure sensor, a photoelectric sensor and the like, and the multi-parameter acquisition module is connected with the unique fault judgment algorithm; parameters such as current, voltage, lamp tube surface temperature, internal gas pressure and luminous intensity during operation of a pumping lamp tube are accurately acquired, denoising and filtering parameters and a normalization method based on lamp tube rated parameter values are set by the preprocessing unit, and a fault diagnosis model is constructed by the data analysis module by selecting multiple learning algorithms. The collected and preprocessed parameter vector is X, a weight vector W and a bias item b are obtained through model training, a comprehensive score S is calculated, a fault judgment threshold T is set through a large amount of sample data training, and if S is larger than or equal to T, it is judged that a lamp tube has a fault, and a fault type mark is output; if Slt; and T, judging normal operation of the lamp tube.

The present teachings relate to a method for identifying reusable components of a vehicle lamp assembly, the method including: i) performing an electric circuit functionality test on each component of a plurality of components of the vehicle lamp assembly; ii) performing an illumination test on each light source within the vehicle lamp assembly; iii) identifying which of the components of the plurality of components pass and / or fail the electric circuit functionality test; and iv) identifying which light sources pass and / or fail the illumination test.

The utility model relates to the technical field of filament detection equipment, and discloses a vehicle H7 bulb filament detection mechanism, which comprises a working platform, and a tray is arranged at the top end of the working platform. According to the vehicle H-shaped bulb filament detection mechanism, due to the design of a second air cylinder and a first air claw, a plurality of bulbs can be accurately clamped and conveyed into a moving block, due to the design of a first air cylinder, the bulbs on the moving block can be sequentially aligned with the second air claw, and due to the fact that the second air claw is provided with two grippers, the bulbs can be accurately clamped and conveyed into the moving block. Due to the design of the power-on detection module and the current sensor, power-on detection can be conducted on the bulbs, and when lamp filaments of the bulbs break down, the current sensor stops the device and gives an alarm to attract attention of operators. And due to the design of the camera and the illuminating lamp, the lamp filament can be photographed and detected, so that the bulb can be efficiently and accurately detected.

The invention relates to the technical field of lighting equipment, and provides an intelligent fault diagnosis method and system for LED lighting equipment, for each LED street lamp, extracting multi-dimensional data information of the LED street lamp in a first preset time period from a multi-dimensional state matrix, and determining whether the LED street lamp has a potential fault based on the multi-dimensional data information. If the potential fault exists, generating a pre-selected fault set of the LED street lamp based on the multi-dimensional data information; for each pre-selected fault in the pre-selected fault set, performing extension calendar analysis on the pre-selected fault based on extension structure information of the LED street lamp network to obtain fault influence node information corresponding to the pre-selected fault, and based on the state information of each fault influence node in the fault influence node information in a second preset time period, judging whether the pre-selected fault exists, and if so, determining that the pre-selected fault is a target fault corresponding to the LED street lamp. The method improves the accuracy of fault detection.

The invention discloses an LED light bar discharge test method. The method comprises the following steps: setting test parameters and inputting the test parameters to a multi-channel synchronous data acquisition module; applying a preset voltage to the driving circuit, then triggering power failure and synchronously starting timing; collecting dynamic discharge waveform data of each node in real time; intercepting data in a segmented manner based on a preset time window, and extracting characteristic parameters of a voltage attenuation rate, a current abrupt change amplitude and a waveform distortion coefficient; dynamically comparing the characteristic parameters with a safety threshold range to mark an abnormal interval; and generating a test report according to the abnormal distribution. Through a multi-channel synchronous acquisition and time window segmentation analysis technology, discharge full-period transient response is accurately captured, abnormity caused by non-uniform capacitance distribution or local insulation defects is identified in combination with a dynamic comparison rule, the problem of missing detection in transient abnormity detection of a traditional test method is solved, the test precision and reliability are remarkably improved, and the test efficiency is improved. And efficient data support is provided for safety assessment of the LED light bar.

The invention relates to the technical field of vehicle lamp testing, in particular to a vehicle lamp full-function automatic testing method and system, a storage medium and electronic equipment. The full-function automatic test method for the vehicle lamp comprises four steps of test configuration, test execution, diagnostic function test and test report generation, and the test configuration selects a test type through an upper computer developed by Python and configures a corresponding project file path; the test execution respectively executes a hard wire function test, a bus function test and a diagnosis function test; and test report generation: a test result, an oscilloscope screenshot and analysis data are stored in a structured report, and the test report is directly viewed or exported through an upper computer. The method covers a hard wire function test, a bus function test and a diagnosis function test, can perform comprehensive detection on electrical performance, signal time sequence, fault diagnosis and the like of the vehicle lamp module, and avoids the problems of tedious process and low efficiency of a traditional manual test.

The invention discloses a PLC-IoT street lamp electric leakage detection method and system based on edge calculation, and relates to the technical field of smart power grids and Internet of Things. According to the invention, the self-adaptive threshold adjustment algorithm is adopted to dynamically calibrate the electric leakage detection threshold, so that the problem that the traditional fixed threshold method is easy to generate false alarm or missing alarm when the environment changes is effectively solved, and the accuracy and reliability of detection are remarkably improved; through a multi-node collaborative decision algorithm and a data fusion technology, the regional electric leakage risk can be accurately judged, misjudgment caused by local interference in single-node detection is avoided, the robustness of the system is enhanced, through a parameter optimization mechanism and a machine learning regression algorithm, an environment correction coefficient and detection algorithm parameters can be dynamically adjusted, and the reliability of the system is improved. The electric leakage risk trend is predicted, dynamic and accurate evaluation of the electric leakage risk is realized, and the intelligent level and the management efficiency of the system are improved.

The utility model, which relates to the technical field of the LED, discloses a leakage protection circuit comprising a power supply circuit, a step-down circuit, an LED circuit and a detection circuit. The input end of the power supply circuit is connected to the output pin of the power supply end, the output end of the power supply circuit is connected with the input end of the step-down circuit and the input end of the LED circuit, and the power supply circuit is used for rectifying the output power supply of the power supply end so as to output the power supply to the step-down circuit and the LED circuit; the output end of the step-down circuit is connected with the detection circuit, and the step-down circuit is used for carrying out step-down processing on the power supply output by the power circuit to output reference voltage to the detection circuit; and the detection circuit is respectively connected with the output pins of the power supply end and the LED circuit, and is used for controlling the working state of the LED circuit according to the real-time voltage difference and the real-time voltage between the output pins of the power supply end and the reference voltage output by the step-down circuit. According to the utility model, the working state of the LED circuit can be controlled according to the real-time voltage difference, the real-time voltage and the reference voltage, thereby realizing anti-creeping protection.

The invention discloses a heat dissipation performance evaluation method and system for a backlight source. The backlight module is powered on in a first test period, a module infrared image is obtained, color features are extracted based on a color histogram, and backlight sub-regions are divided by adopting agglomeration hierarchical clustering; in the second test period, the sub-regions and the whole are electrified respectively, RGB color features and temperature differences of two tests are extracted, color feature differences and temperature differences are calculated, the heat dissipation index of each region is evaluated, and the index can comprehensively reflect the heat dissipation performance of different regions and effectively guide the backlight module to carry out structure adjustment and production optimization; and the production test efficiency and the performance evaluation accuracy are improved.

A commercial vehicle rear brake lamp fault diagnosis method and system and a storage medium, and the method comprises the steps: determining the change characteristics of the working current of each brake lamp along with the working temperature based on the working current and working temperature of each brake lamp collected in real time; the load type of each brake lamp is determined according to the change characteristics; the load type comprises a halogen bulb and an LED module; presetting a plurality of diagnosis parameters and acquiring parameter values of the diagnosis parameters in real time; based on a preset weight coefficient of each diagnosis parameter, performing weighted fusion calculation on each parameter value to obtain a fault confidence coefficient of each brake lamp; and performing real-time fault diagnosis on each brake lamp according to each parameter value of each brake lamp and the fault confidence in combination with a diagnosis strategy corresponding to the load type of each brake lamp. The technical problem that the fault misjudgment rate is high under complex working conditions due to the fact that a preset mode is mainly adopted in the prior art, the load class of the rear brake lamp of the trailer is configured with a fixed diagnosis threshold value, and fault judgment is carried out only depending on a single parameter is solved.

The invention provides an LED lamp bead packaging detection device, and relates to the technical field of LED lamp bead detection. The packaging detection device for the LED lamp beads comprises an LED light detector, a light source module, a light source module and a control module, wherein the LED light detector is provided with a detection base station; the insertion detection mechanism comprises an insertion cylinder and a trigger electrifying unit, the trigger electrifying unit is arranged at the inner lower part of the insertion cylinder, and the trigger electrifying unit is used for being connected with an internal circuit of the detection base station; and the positioning mechanism is arranged at the inner upper part of the insertion cylinder, and the positioning mechanism is used for positioning the LED packaging lamp bead during detection, so that the LED packaging lamp bead is kept in a vertical posture. According to the LED packaging lamp bead detection device, the LED packaging lamp bead is put into the inner upper part of the insertion cylinder, and the positioning mechanism can position the LED packaging lamp bead during detection, so that the LED packaging lamp bead is kept in a vertical stable posture, the trigger electrifying unit can stably perform electrifying detection on the LED packaging lamp bead, and the detection precision of the LED packaging lamp bead is improved.

The invention discloses a method for distinguishing red copper LED supports and brass LED supports, and relates to the technical field of semiconductor devices. According to the invention, the to-be-tested base material support is used as the lamp bead support to prepare the to-be-tested LED lamp bead, and the brightness of the to-be-tested LED lamp bead and the brightness of the reference LED lamp bead are tested under the specific conditions by using the large brightness difference between the brass lamp bead and the red copper lamp bead under the specific test mode, the specific test current and the specific test time. According to the distinguishing method, the brightness of the red copper LED support and the brightness of the brass LED support are compared, the LED supports made of the red copper and the brass LED support can be rapidly and accurately distinguished, quality guarantee is provided for subsequent LED lamp bead preparation, distinguishing can be conducted by means of existing conditions in an LED lamp bead preparation enterprise through the distinguishing method, cost is low, and the distinguishing method is suitable for large-scale popularization and application. The problems of difficulty in accurate distinguishing in traditional naked eye observation and high cost and long time consumption in component analysis of a detection mechanism are solved.

The invention discloses an electrical cabinet door state monitoring system and method based on millimeter wave radar induction. The system comprises a cabinet body, a cabinet door, a millimeter wave radar, a control unit and controlled equipment. The controlled equipment is an illuminating lamp; the cabinet door is rotationally connected with the cabinet body, and the cabinet door can be opened or closed relative to the cabinet body; according to the invention, a non-contact monitoring mode based on the millimeter-wave radar is adopted, the abrasion problem caused by mechanical contact of a traditional mechanical microswitch is avoided, and meanwhile, the working parameters of the millimeter-wave radar are dynamically adapted through a multi-source time-varying interference coupling model, so that the state of the cabinet door is accurately judged; the control logic of the illuminating lamp is optimized through an opening degree, illumination and power three-dimensional coupling adjustment strategy, accurate matching of the power of the illuminating lamp and actual use requirements is achieved, and the applicability of illumination control is improved; fault prediction is realized through a time-space fusion model of time sequence attenuation and fault risk weight, and long-term stable operation of the system is guaranteed.

The invention discloses an illuminating lamp detection system, a detection method and a rolling workshop illuminating device. The illuminating lamp detection system comprises a control unit, an electromagnetic door, an illuminating lamp and a warning unit, the electromagnetic door comprises an electromagnetic door lock; the warning unit comprises a first color warning lamp, a second color warning lamp and a third color warning lamp; the control unit judges door lock opening and closing information of the electromagnetic door lock; the control unit judges the lighting information of the lighting lamp; the control unit controls the warning lamp to emit light according to the door lock opening and closing information and the lighting information; when the door lock switch information obtained by the control unit is that the electromagnetic door is opened, the door lock switch information obtained by the control unit is that the electromagnetic door is closed and the lighting information is that the lighting lamp does not emit light, and the door lock switch information obtained by the control unit is that the electromagnetic door is closed and the lighting information is that the lighting lamp emits light. The control unit controls the warning lamps of different colors to emit light, and the illumination detection effect of the illumination lamp detection system is better.

The invention discloses an LED dead pixel detection method, device and equipment based on laser reflection and a medium, and relates to the technical field of LED lamp detection, and the method comprises the steps: controlling a laser light source to irradiate a to-be-detected LED lamp; collecting a reflected light signal; preprocessing the reflected light signal to obtain an input signal; and judging whether the LED lamp is normal based on the input signal. According to the invention, laser reflection detection is adopted to replace traditional optical imaging, the monochromaticity and directivity of laser are utilized to overcome ambient light interference, and a darkroom or complex filtering is not needed. Meanwhile, the combination of the laser light source and the photoelectric sensor significantly reduces the cost of the system, and avoids the use of a high-resolution camera. The laser can focus a micron-sized light spot, and the sub-pixel-level micro structure abnormity can be identified with high precision by analyzing the energy change of a reflected light signal. More importantly, according to the method, non-luminous defects such as packaging cracks and colloid stripping can be synchronously detected by capturing the reflection characteristics of the physical structure of the LED instead of depending on the luminous state of the LED, so that the defect detection accuracy is effectively improved.

The invention provides an automatic test platform and method for automobile lamp function test, and relates to the technical field of automobile electronic test. The platform comprises a test case management module, a test task management module, a rack resource management module, a test report module and a system configuration management module. The platform supports parametric modeling of test cases, automatic scheduling of tasks and resource matching, and can collect rack test data in real time and generate a structured report. According to the control method, a closed-loop process from test definition, scheduling, execution to result analysis is realized, and the test efficiency, the resource utilization rate and the test accuracy are improved. The platform has the characteristics of modular architecture, easy expansion, data traceability and the like, and is suitable for automatic verification and quality evaluation of multi-vehicle-type and multifunctional vehicle lamp systems.

The invention relates to an SPI (Serial Peripheral Interface) lamp bead number detection method, which comprises the following steps of: A, cascading a plurality of lamp beads to form an LED (Light Emitting Diode) lamp bead link, and controlling the on-off of each lamp bead through an MOS (Metal Oxide Semiconductor) tube driving circuit; b, the ADC detection module collects current signals through divider resistors R1 and R2 of the resistance divider network; c, dynamically calibrating a zero lamp bead reference voltage V, setting a current change threshold value epsilon, measuring a zero lamp bead reference current I, and recording a single lamp bead standard current delta I = I-I when the first lamp bead is lightened; d, sequentially lightening the single lamp beads one by one through the MOS tube driving circuit, dynamically recording the characteristic voltage delta V of the single lamp bead through the main controller when one lamp bead is lightened, comparing the current change value delta I'with the current change threshold epsilon, establishing a current change curve, recording the lamp bead with the current change value within the epsilon range as a normal lamp bead, and recording the lamp bead with the current change value within the epsilon range as a normal lamp bead. And judging the number of the normal lamp beads according to the dynamic current of the lamp beads and the linear change relationship between the upper and lower measuring points of the resistance potential-dividing network when the detected voltage is regressed to V + / -epsilon.

A trailer light monitoring module is configured to electrically couple with lights on a trailer and include an input configured to receive electrical power from a battery; an output configured to electrically couple with lights on a trailer and selectively communicate the electrical power from the battery; a learning button, the activation of which determines a quantity of possible channels through which trailer lights could receive electrical power, and also determines how many of the quantity of possible channels actually receive electrical power; and a plurality of channel diagnostic blocks each including a tunable current sensor having a variable resistor that is tunable based on an output voltage received.