Building lighting dynamic light and shadow display fault monitoring system based on energy management

Abstract

The present invention relates to a dynamic light and shadow display fault monitoring system for building lighting based on energy management, which is applied to the technical field related to fault monitoring. The system can realize real-time monitoring and predictive maintenance monitoring of the LED light matrix of the building lighting system, so as to timely discover the real fault point and the pseudo fault point that is about to be converted into the real fault point. On the one hand, the real fault point can be spontaneously repaired to make it emit light normally, which greatly reduces the frequency of manual maintenance compared with the prior art. On the other hand, the display of light and shadow patterns can be simulated and optimized to reduce the number of times the LED unit that is about to fail is used, prolong its fault time, and further reduce the maintenance frequency. In addition, in conjunction with the setting of the maintenance scheduling module, the LED units with real fault points can be scheduled to gather at the edge of the display surface of the building lighting system. When a certain number of faulty LED units are accumulated at the edge, they are repaired at one time, thereby greatly reducing the difficulty and cost of maintenance.

Description

Technical Field

[0001] The present invention relates to a building lighting dynamic light and shadow display fault monitoring system, and in particular to a building lighting dynamic light and shadow display fault monitoring system based on energy management applied to the technical field related to fault monitoring. Background Art

[0002] The lighting system is generally composed of multiple LED lights distributed in a rectangular array. At night, different LED lights are controlled to light up according to different patterns to achieve light and shadow pattern display.

[0003] The specification of Chinese patent CN115359270A discloses an automatic diagnosis system for lighting faults in urban appearance and municipal buildings. The patent only focuses on monitoring diagnosis. After the fault is discovered, there is no actual treatment measure for maintenance and treatment. After the abnormality is diagnosed, the staff is directly notified to perform normal manual maintenance.

[0004] However, the building lighting system is generally located on the facade of the building, and is located at a higher position on the facade. It is difficult to repair after a fault point occurs. If maintenance is performed every time a fault point occurs, the maintenance cost will be too high. If no maintenance is performed after the fault point is detected, it is easy to cause the pattern displayed by the lighting system to always be partially dim, affecting the display effect. Summary of the invention

[0005] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is that the LED light matrix used for displaying dynamic light and shadow patterns in the building lighting system is difficult to repair and has a high repair cost after a fault point occurs.

[0006] In order to solve the above problems, the present invention provides a building lighting dynamic light and shadow display fault monitoring system based on energy management, including a monitoring center, a recording and storage module, a cloud database connected to the monitoring center by signal, a fault monitoring module, an early warning module and a maintenance scheduling module. The fault monitoring module includes a real-time monitoring module, a predictive maintenance module, a simulation module and a graphic optimization module. The predictive maintenance module is connected to the recording and storage module by signal.

[0007] The real-time monitoring module includes multiple temperature sensors, current sensors and patrol drones with high-definition cameras corresponding to the building lighting system. The predictive maintenance module includes an adaptive module, an angle sensor and an AI map adjustment module. The LED lamp beads of the building lighting system are installed on the facade of the building through the adaptive module. The adaptive module includes a base and a U-shaped mounting seat fixedly connected to the center of the base. Conductive sheets are installed on the inner sides of the two arms of the U-shaped mounting seat, and an LED unit is installed in the middle of the U-shaped mounting seat through an electric shaft.

[0008] In the above-mentioned energy management-based building lighting dynamic light and shadow display fault monitoring system, real-time monitoring and predictive maintenance monitoring of the LED light matrix of the building lighting system can be realized, so as to timely detect the real fault points and the pseudo-fault points that are about to be converted into real fault points. On the one hand, the real fault points can be spontaneously repaired to make them emit light normally. Compared with the existing technology, the frequency of manual maintenance is greatly reduced, thereby reducing the difficulty and cost of maintenance. On the other hand, the display of light and shadow patterns can be simulated and optimized, reducing the number of times the LED units that are about to fail are used, prolonging their failure time, and further reducing the frequency of maintenance.

[0009] As a further improvement of the present application, the LED unit is composed of two LED lamp beads, and the angle sensor is installed on the electric shaft.

[0010] As a further improvement of the present application, the real-time monitoring module is used to monitor the generation of fault points and the predictive maintenance module is used to predict pseudo-fault points that are about to fail, the fault points include primary fault points and true fault points, and the pseudo-fault points, primary fault points and true fault points are marked with different symbols on the simulation module, and the symbols include but are not limited to one or more of colors, graphics and text.

[0011] As a further improvement of the present application, the fault monitoring method thereof comprises the following steps:

[0012] S1. When the building lighting system lights up and displays the target light and shadow pattern, the temperature sensor and the inspection drone with a high-definition camera monitor the heating and brightness changes of multiple LED units in the building lighting system in real time;

[0013] S2, the temperature sensor and the inspection drone with a high-definition camera transmit the real-time monitored temperature data and image data to the recording and storage module for temporary storage. The predictive maintenance module compares the data with the historical data stored in the cloud database, predicts that the LED units with subsequent failure risks are pseudo-fault points, and records the LED units that have been extinguished or have significantly reduced brightness as fault points. At the same time, after the monitoring center obtains the signal, the adaptive module controls the other lamp beads on the LED unit to rotate to the appropriate angle through the angle sensor, so that the new lamp beads reach the fault point and complete the self-repair;

[0014] S3, simulating a model of the building lighting system through a simulation module, and marking fault points and pseudo-fault points on the model;

[0015] S4. Before the next light and shadow display, the target light and shadow pattern is simulated in multiple angles and directions on the model of the building lighting system through the graphic optimization module, so that the pattern passes through the fault point where the fault point and the pseudo-fault point overlap as little as possible, and does not pass through the real fault point;

[0016] S5. When the target light and shadow pattern must pass through multiple true fault points, the AI ​​map adjustment module automatically fine-tunes the target light and shadow pattern locally on the model of the building lighting system according to the positions of the multiple true fault points, the primary fault points and the false fault points that coincide with the fault points, so as to meet the requirements of S4.

[0017] S6. When the number of true fault points exceeds 1 / 4 of the number of LED units, or S4 cannot be met after adjustment by the AI ​​diagram adjustment module, the early warning module will sound an alarm, and the monitoring center will dispatch staff for centralized maintenance through the maintenance dispatch module.

[0018] As another improvement of the present application, the maintenance scheduling module also includes a self-aggregation unit that is matched with the LED unit, the self-aggregation unit is connected to the monitoring center signal, the self-aggregation unit includes a plurality of horizontal electric slide rails that are respectively spaced apart from the plurality of rows of LED units and a plurality of vertical electric slide rails that respectively correspond to the plurality of LED units in the same row, the vertical electric slide rails are fixedly connected to the horizontal electric slide rails, and the two are connected, and the base where the LED unit is located is connected to the vertical electric slide rails.

[0019] As another improved supplement of the present application, the self-aggregation method of the self-aggregation unit includes the following method:

[0020] Sa. During the dynamic light and shadow display, when the real-time monitoring module detects that a real fault point has occurred, the monitoring center controls the corresponding LED unit to move longitudinally on the longitudinal electric slide rail and enter the transverse electric slide rail, and then move to the same side along the transverse electric slide rail until it reaches the edge;

[0021] Sb, and then control the remaining normal LED units to move into the horizontal electric slide rail, thereby filling the vacancy at the real fault point and completing the spatial aggregation of the LED units corresponding to the real fault point.

[0022] As another improvement and supplement of the present application, the moving direction of the LED unit in step Sb is toward the initial position of the true fault point.

[0023] In summary, real-time monitoring and predictive maintenance monitoring of the LED light matrix of the building lighting system can be achieved, so as to timely discover the real fault points and the pseudo fault points that are about to be converted into real fault points. On the one hand, the real fault points can be spontaneously repaired to make them emit light normally. Compared with the existing technology, the frequency of manual maintenance is greatly reduced. On the other hand, the display of light and shadow patterns can be simulated and optimized to reduce the number of times the LED units that are about to fail are used, prolong their failure time, and further reduce the maintenance frequency. In addition, with the setting of the maintenance scheduling module, the LED units with real fault points can be scheduled to the edge of the display surface of the building lighting system to weaken the impact on the pattern. When a certain number of faulty LED units accumulate at the edge, they can be repaired at one time, thereby greatly reducing the difficulty and cost of maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a principle block diagram of the first implementation mode of this application;

[0025] Figure 2 This is a schematic diagram of the principle of the first implementation mode of the present application;

[0026] Figure 3 A schematic diagram of a building lighting system model simulated by a simulation module in the first embodiment of the present application;

[0027] Figure 4 This is a side view of an adaptive module according to a first embodiment of the present application;

[0028] Figure 5 This is a front schematic diagram of an adaptive module according to a first embodiment of the present application;

[0029] Figure 6 This is a schematic diagram of the process of LED units corresponding to the true fault point gathering toward the edge in the second implementation mode of the present application;

[0030] Figure 7 This is a schematic diagram of a building lighting system model after the true fault points gather toward one edge in the second implementation mode of the present application;

[0031] Figure 8 This is a schematic diagram comparing the second implementation mode of the present application with the prior art in terms of fault point repair. DETAILED DESCRIPTION

[0032] Two implementation modes of the present application are described in detail below with reference to the accompanying drawings.

[0033] The first implementation method:

[0034] Figure 1It is shown that the dynamic light and shadow display fault monitoring system of building lighting based on energy management includes a monitoring center, a recording and storage module, a cloud database connected to the monitoring center signal, a fault monitoring module, an early warning module and a maintenance scheduling module. The fault monitoring module includes a real-time monitoring module, a predictive maintenance module, a simulation module and a graphic optimization module. The predictive maintenance module is connected to the recording and storage module signal;

[0035] When the building lighting system is working, the fault monitoring module monitors it in real time and compares the data obtained by real-time monitoring with historical data to predict faults, so that the staff can know in advance the LED units that may fail. In the subsequent light and shadow display work, the display angle and direction of the light and shadow pattern at the matrix LED lamp can be adjusted in advance through the graphic optimization module to avoid the fault point, thereby reducing the impact of some fault points on the pattern display effect, and thus achieving the situation where a single fault point does not need to be repaired without affecting the display effect. Compared with the direct manual repair method after the fault point is generated in the prior art, the maintenance frequency and maintenance cost are greatly reduced.

[0036] It is worth noting that the data generated during each monitoring will be stored in the record storage module. When the building lighting system is closed after the current display, the stored data will be transmitted to the cloud database for storage as historical data. At this time, the data in the record storage module will be automatically cleared.

[0037] The real-time monitoring module includes multiple temperature sensors, current sensors and patrol drones with high-definition cameras corresponding to the building lighting system. The patrol drones can directly capture the status of the matrix LED lights, making it easy to promptly detect fault points where the lights are off or the brightness is significantly dimmed. The predictive maintenance module includes an adaptive module, an angle sensor and an AI map adjustment module.

[0038] like Figure 4-5 The LED lamp beads of the building lighting system are installed on the facade of the building through an adaptive module. The adaptive module includes a base and a U-shaped mounting base fixedly connected to the center of the base. Conductive sheets are installed on the inner sides of the two arms of the U-shaped mounting base. One of the LED lamp beads just contacts the conductive sheet and is turned on. An LED unit is installed in the middle of the U-shaped mounting base through an electric shaft. The LED unit consists of two LED lamp beads. The angle sensor is installed on the electric shaft. The angle sensor is installed on the electric shaft to monitor the rotation angle. When one of the LED lamp beads in the LED unit is damaged, it can be rotated to a suitable angle to make the other LED lamp bead accurately fill the position and contact the conductive sheet, thereby realizing self-repair. This eliminates the need for manual repair one by one after a failure, and facilitates subsequent centralized repair.

[0039] like Figure 2The real-time monitoring module is used to monitor the occurrence of fault points, and the predictive maintenance module is used to predict pseudo-fault points that are about to fail. Fault points include primary fault points and true fault points, and pseudo-fault points, primary fault points and true fault points are marked with different symbols on the simulation module. The symbols include but are not limited to one or more of color, graphics and text, so that the conditions of each point can be clearly distinguished during simulation, which is convenient for timely avoiding abnormal points during graphics optimization.

[0040] Among them, a primary fault point indicates that the corresponding LED unit has gone out for the first time or the brightness has become significantly dimmed, and a true fault point indicates that the corresponding LED unit has gone out twice or the brightness has become significantly dimmed. There are no spare LED lamp beads to replace it, and direct repair is required afterwards.

[0041] It is worth noting that, in specific implementation, the number of LED lamp beads in the LED unit can be set to more according to actual needs.

[0042] like Figure 2-3 , the fault monitoring method comprises the following steps:

[0043] S1. When the building lighting system lights up and displays the target light and shadow pattern, the temperature sensor and the inspection drone with a high-definition camera monitor the heating and brightness changes of multiple LED units in the building lighting system in real time;

[0044] S2, the temperature sensor and the inspection drone with a high-definition camera transmit the real-time monitored temperature data and image data to the recording and storage module for temporary storage. The predictive maintenance module compares the data with the historical data stored in the cloud database, predicts that the LED units with subsequent failure risks are pseudo-fault points, and records the LED units that have been extinguished or have significantly reduced brightness as fault points. At the same time, after the monitoring center obtains the signal, the adaptive module controls the other lamp beads on the LED unit to rotate to the appropriate angle through the angle sensor, so that the new lamp beads reach the fault point and complete the self-repair;

[0045] S3, simulating a model of the building lighting system through a simulation module, and marking fault points and pseudo-fault points on the model;

[0046] S4. Before the next light and shadow display, the target light and shadow pattern is simulated in multiple angles and directions on the model of the building lighting system through the graphic optimization module, so that the pattern passes through the fault point where the fault point and the pseudo-fault point overlap as little as possible, and does not pass through the real fault point;

[0047] S5. When the target light and shadow pattern must pass through multiple true fault points, the AI ​​map adjustment module automatically fine-tunes the target light and shadow pattern locally on the model of the building lighting system according to the positions of the multiple true fault points, the primary fault points and the false fault points that coincide with the fault points, so as to meet the requirements of S4.

[0048] S6. When the number of true fault points exceeds 1 / 4 of the number of LED units, or S4 cannot be met after adjustment by the AI ​​diagram adjustment module, the early warning module will sound an alarm, and the monitoring center will dispatch staff for centralized maintenance through the maintenance dispatch module.

[0049] In summary, real-time monitoring and predictive maintenance monitoring of the LED light matrix of the building lighting system can be achieved, so as to timely detect the real fault points and the pseudo fault points that are about to be converted into real fault points. On the one hand, the real fault points can be spontaneously repaired to make them emit light normally. Compared with the existing technology, the frequency of manual maintenance is greatly reduced. On the other hand, the display of light and shadow patterns can be simulated and optimized to reduce the number of times the LED units that are about to fail are used, prolong their failure time, and further reduce the maintenance frequency, so as to timely detect the display failure of the building lighting system. At the same time, corresponding indication changes can be made in time, so as not to affect the display of the light and shadow patterns in the normal production without immediate maintenance. When the number of fault points is too large, centralized maintenance is carried out later. Compared with the existing technology of immediate repair or no treatment after the fault point is found, the display effect is effectively guaranteed.

[0050] The second implementation method:

[0051] This embodiment is based on the first embodiment, and a self-aggregation unit is added, and the rest of the parts are consistent with the first embodiment.

[0052] The maintenance scheduling module also includes a self-aggregation unit that is matched with the LED unit. The self-aggregation unit is connected to the monitoring center signal. Figure 6 It is shown that the self-aggregation unit includes a plurality of horizontal electric slide rails which are spaced apart from each other with respect to the plurality of rows of LED units, and a plurality of vertical electric slide rails which correspond to the plurality of LED units in the same row. The vertical electric slide rails are fixedly connected to the horizontal electric slide rails, and the two are connected. The base where the LED unit is located is connected to the vertical electric slide rails.

[0053] like Figure 6 , the self-aggregation method of the self-aggregation unit includes the following methods:

[0054] Sa. During the dynamic light and shadow display, when the real-time monitoring module detects that a real fault point has occurred, the monitoring center controls the corresponding LED unit to move longitudinally on the longitudinal electric slide rail and enter the transverse electric slide rail, and then move to the same side along the transverse electric slide rail until it reaches the edge;

[0055] Sb, such as Figure 7 , and then control the remaining normal LED units to move into the horizontal electric slide rail, thereby filling the vacancy at the real fault point and completing the spatial aggregation of the LED units corresponding to the real fault point.

[0056] The moving direction of the LED unit in step Sb is toward the initial position of the real fault point, which effectively ensures that the normal LED unit can fill the vacancy at the real fault point, so that the subsequent light and shadow patterns can still be displayed normally.

[0057] In summary, if Figure 8 In addition, with the setting of the maintenance scheduling module, the LED units with real fault points can be scheduled to the edge of the display surface of the building lighting system to weaken the impact on the pattern. When a certain number of faulty LED units accumulate at the edge, they can be repaired at one time, thereby greatly reducing the difficulty and cost of maintenance.

[0058] In view of current practical needs, the above-mentioned implementation mode adopted in this application is not limited to the scope of protection. Various changes made within the knowledge scope of technical personnel in this field without departing from the concept of this application still fall within the scope of protection of the present invention.

Claims

1. Building lighting dynamic light and shadow display fault monitoring system based on energy management, characterized by: It includes a monitoring center, a record storage module, a cloud database connected to the monitoring center by signal, a fault monitoring module, an early warning module, and a maintenance scheduling module. The fault monitoring module includes a real-time monitoring module, a predictive maintenance module, a simulation module, and a graphic optimization module. The predictive maintenance module is connected to the record storage module by signal; The real-time monitoring module includes a plurality of temperature sensors, current sensors and inspection drones with high-definition cameras corresponding to the building lighting system. The predictive maintenance module includes an adaptive module, an angle sensor and an AI map adjustment module. The LED lamp beads of the building lighting system are installed on the building facade through the adaptive module. The adaptive module includes a base and a U-shaped mounting seat fixedly connected to the center of the base. Conductive sheets are respectively installed on the inner sides of the two arms of the U-shaped mounting seat. An LED unit is installed in the middle of the U-shaped mounting seat through an electric shaft. The LED unit consists of two LED lamp beads. The angle sensor is installed on the electric shaft. The real-time monitoring module is used to monitor the generation of fault points, and the predictive maintenance module is used to predict pseudo fault points that are about to fail. The fault points include primary fault points and true fault points, and the pseudo fault points, primary fault points and true fault points are marked with different marks on the simulation module. The marks include one or more of color, graphics and text; The fault monitoring method of the monitoring system comprises the following steps: S1. When the building lighting system lights up and displays the target light and shadow pattern, the temperature sensor and the inspection drone with a high-definition camera monitor the heating and brightness changes of multiple LED units in the building lighting system in real time; S2, the temperature sensor and the inspection drone with a high-definition camera transmit the real-time monitored temperature data and image data to the recording and storage module for temporary storage. The predictive maintenance module compares the data with the historical data stored in the cloud database, predicts that the LED units with subsequent failure risks are pseudo-fault points, and records the LED units that have been extinguished or have significantly reduced brightness as fault points. At the same time, after the monitoring center obtains the signals of the pseudo-fault points and fault points, the adaptive module controls the other lamp beads on the LED unit to rotate to the appropriate angle through the angle sensor, so that the new lamp beads reach the fault point and complete the self-repair; S3, simulating a model of the building lighting system through a simulation module, and marking fault points and pseudo-fault points on the model; S4. Before the next light and shadow display, the target light and shadow pattern is simulated in multiple angles and directions on the model of the building lighting system through the graphic optimization module, so that the pattern passes through the fault point where the fault point and the pseudo-fault point overlap as little as possible, and does not pass through the real fault point; S5. When the target light and shadow pattern must pass through multiple true fault points, the AI ​​map adjustment module automatically fine-tunes the target light and shadow pattern locally on the model of the building lighting system according to the positions of the multiple true fault points, the primary fault points and the false fault points that coincide with the fault points, so as to meet the requirements of S4. S6: When the number of true fault points exceeds 1 / 4 of the number of LED units, or S4 cannot be met after adjustment by the AI ​​diagram adjustment module, the early warning module will sound an alarm, and the monitoring center will dispatch staff for centralized maintenance through the maintenance scheduling module; The maintenance scheduling module also includes a self-aggregation unit matched with the LED unit, the self-aggregation unit is connected to the monitoring center signal, the self-aggregation unit includes a plurality of horizontal electric slide rails respectively spaced apart from the plurality of rows of LED units and a plurality of vertical electric slide rails respectively corresponding to the plurality of LED units in the same row, the vertical electric slide rail is fixedly connected to the horizontal electric slide rail, and the two are in communication, and the base where the LED unit is located is connected to the vertical electric slide rail; The self-aggregation method of the self-aggregation unit comprises the following method: Sa. During the dynamic light and shadow display, when the real-time monitoring module detects that a real fault point has occurred, the monitoring center controls the corresponding LED unit to move longitudinally on the longitudinal electric slide rail and enter the transverse electric slide rail, and then move to the same side along the transverse electric slide rail until it reaches the edge; Sb, then control the remaining normal LED units to move into the horizontal electric slide rail, so as to fill the vacancy at the real fault point and complete the spatial aggregation of the LED units corresponding to the real fault point; The moving direction of the LED unit in step Sb is the initial position toward the true fault point.

Images