312 results about "Group control" patented technology

The invention relates to the technical field of elevator group control, in particular to an elevator group control method and system based on deep learning, and the method comprises the steps: building an elevator taking behavior time sequence data set through collecting historical elevator taking behavior data and combining with an elevator calling request and the number of people waiting for an elevator obtained through image recognition; the elevator taking frequency, the elevator calling interval and the passenger number fluctuation are modeled by adopting a long-short-term memory network, passenger flow periodical characteristics in workdays, holidays and peak periods are extracted, the passenger flow of each floor in the future is predicted, and pre-scheduling deployment of idle elevators is completed in advance. In the scheduling stage, state input containing the elevator running state and predicted flow is constructed, a reinforcement learning model is introduced for strategy optimization, a reward function is constructed based on passenger waiting time, response timeout and the service completion number, a scheduling strategy is driven to continuously converge, elevator response distribution is optimized, and position presetting and path adjustment are preset. And the scheduling intelligence and the service efficiency are improved.

The invention relates to the technical field of air conditioner temperature adjustment, in particular to an energy-saving control method, device and equipment for machine room air conditioner group control, a storage medium and a computer program product. The method comprises the following steps: acquiring temperature and humidity data in a machine room, power consumption data of load equipment and operation parameters of air conditioning equipment; synchronizing the data according to timestamps to generate a corresponding multi-source feature data matrix; constructing spatial thermodynamic model parameters based on the multi-source feature data matrix; on the basis of the space thermodynamic model parameters, the temperature evolution trend in the target time domain is predicted, and a control instruction sequence of the air conditioning equipment is generated on the basis of a prediction result; and if the control instruction sequence meets the preset temperature range constraint, the preset temperature change rate constraint and the preset control time interval constraint, the corresponding control instruction is sent to the air conditioner equipment, and the air conditioner group control energy-saving efficiency is improved.

The invention discloses a source load risk management and control method for cooperative operation of multiple types of adjusting power supplies and new energy, and the method comprises the steps: depicting a prediction error tail dependency relationship through employing an extreme value theory and a Copula function, constructing a distribution robust optimization model in combination with a Wasserstein distance, and obtaining the standby capacity sharing, triggering threshold and risk index of the multiple types of adjusting power supplies; performing conformal prediction based on the prediction residual error to generate a dynamic confidence interval, and mapping the dynamic confidence interval into a pipeline radius of model prediction control; executing rolling MPC containing information bottleneck regularization under the constraint of the reserve capacity and the pipeline, and generating a robust scheduling strategy; and constructing a polyhedral feasible region model of the flexible load group according to the scheduling strategy and the risk index, and performing scaling to obtain a group control action. And the new energy consumption level and the system operation safety are obviously improved.

The invention belongs to the crossing field of artificial intelligence and industrial automation, particularly relates to an aeration fan frequency conversion group control energy-saving method based on an intelligent optimization algorithm, and aims to solve the problems of high energy consumption, response lag and large equipment loss of a traditional control mode. According to the method, parameters such as dissolved oxygen, flow and pressure are collected in real time, a nonlinear optimization model with minimum energy consumption, accurate oxygen supply and minimum start and stop as multiple targets is constructed, an optimal rotating speed distribution scheme is solved online by adopting an improved particle swarm algorithm, and a smooth slope instruction output and closed-loop feedback correction mechanism is combined, so that the optimal rotating speed distribution scheme is obtained. And dynamic self-adaptive adjustment of fan group control is realized. The energy-saving efficiency is remarkably improved by 18%-25%, the annual electricity is saved by more than 800000 kilowatt-hour, meanwhile, the load unevenness is reduced to below 8%, fan start and stop is reduced by 60%, the service life of equipment is prolonged by 2-3 years, hardware does not need to be newly added, the deployment period is short, investment recovery is fast, and the method is successfully applied to multiple sewage plants.

The invention discloses a multi-target cooperative control method for a production system, and the method comprises the steps: collecting and preprocessing multi-source data of wire harness production, and constructing a multi-dimensional structure containing processes, materials, carriers and time phases; establishing a time-phase mapping and dynamic evolution mechanism based on the multi-dimensional structure, and generating a target time-phase association set; takt, material in-place and carrier circulation signals are extracted, a multi-frequency phase set is constructed, and a comprehensive deviation signal is formed; constructing a multi-frequency phase-locked group control module, and generating three types of multi-target control instruction sets of takt, material and carrier; inputting the target association set and the control instruction set into an improved Longform model to generate a prediction control vector of the next period; and according to the predictive control vector output parameter, dynamically updating the plan and path configuration and rolling and correcting the phase locking parameter. According to the invention, through multi-dimensional time phase modeling and the improved Longform model, cooperative control optimization of the wire harness production takt, the material and the carrier is realized.

The invention belongs to the technical field of mold area temperature control, and particularly relates to an automobile part mold area temperature control method, which is characterized in that a temperature control area of a mold cavity channel is finely divided based on the wall thickness and heat distribution of the mold cavity channel, so that the fine division of the temperature control area is realized; and each temperature control area is accurately adjusted by combining the planned cooling time, so that the occurrence of events of non-uniform cooling of a finished product and poorer forming quality caused by not considering the wall thickness can be avoided or reduced, the cooling uniformity is optimized, the injection molding quality is improved, and meanwhile, according to the temperature value of each temperature area and the distance between the areas, the injection molding quality is improved. According to the control method, the mode of combining independent control, grouping control and overall control is adopted for the area needing to be controlled, the defects existing in the current single temperature control mode are overcome, and therefore the preheating requirement can be rapidly met, the control time is saved, the control efficiency is improved, and energy waste is avoided.

The invention aims to provide an elevator group control dynamic scheduling method and system based on reinforcement learning, electronic equipment and a storage medium. The method comprises the steps that S100, elevator demand data is obtained; s200, elevator taking behavior temporal and spatial characteristics are obtained according to the elevator demand data; and S300, an elevator resource dynamic scheduling strategy is generated according to the elevator taking behavior spatio-temporal characteristics. According to the method, an intelligent closed loop of data acquisition, space-time modeling, dynamic strategy generation and continuous evolution is constructed, so that the autonomous evolution of the elevator dispatching logic along with the building passenger flow rule is realized.

The invention relates to a group control optimization method and system for a cold station system, and belongs to the technical field of automatic control, and the method comprises the steps: carrying out the minimum optimization of a first-stage group control optimization objective function through a mixed integer programming algorithm with the start-stop state of each device as an optimization variable during the operation of the cold station system, and obtaining a second-stage group control optimization objective function; the start-stop state of each device of the cold station system is controlled during first-stage group control; and on the basis of the first-stage group control, performing minimum optimization on the second-stage group control optimization objective function by taking chilled water outlet water temperature, chilled pump frequency, cooling pump frequency and cooling tower frequency as optimization variables through a model prediction control algorithm, and controlling the operation state of operation equipment when the cold station system is in the second-stage group control. Therefore, energy consumption is reduced as much as possible and energy efficiency is improved.

The invention relates to the technical field of refrigeration air conditioners and automatic control, in particular to a fixed frequency compressor group control energy regulation system based on outdoor temperature and humidity coupling, which comprises a data acquisition unit, a reheating demand judgment unit and an anti-icing protection control unit, a data acquisition unit acquires outdoor temperature and humidity coupling data and return air temperature data of all compressors through an outdoor temperature and humidity sensor and a return air temperature sensor, and a reheating demand judgment unit implements temperature feedforward control based on outdoor temperature and humidity and sets an adjustable limit level to constrain the input proportion of the compressors. When the compressors are fully input and the humidity exceeds the standard, the moisture content of indoor, target and outdoor air is calculated, the reheating requirement is judged by combining the transient temperature when the integral speed of the cooling and dehumidification PID controller and the adjustable limiting level and the floating gear are adjusted according to the moisture content, and the anti-icing protection control unit periodically monitors the return air temperature and takes measures. The problems that temperature and humidity control of a traditional system is not coordinated, and anti-icing protection is not accurate are solved.

The invention provides a GRPO-RL driven data center multi-area cooling system group control method, which comprises the following steps of S1, implementing environment arrangement at inlets of machine room air conditioning units, a hot channel and a cold channel in each area of a controlled data center, and collecting multi-dimensional operation data required by air conditioning system group control and reinforcement learning; s2, data center cold source system strategy optimization modeling is carried out, and the control problem of each air conditioning system of a data center is approximately modeled as a Markov decision process; and S3, performing reinforcement learning control strategy online learning in combination with a group relative strategy optimization algorithm to obtain optimal energy-saving and environment control effects. According to the invention, the generalization ability and stability of the control strategy in the multi-region data center control can be improved, the cooperative control of the global energy conservation of the large data center and the comfort of each region can be realized, and the memory and computing resource occupation in the RL training process can be obviously reduced through the optimization of the multi-region sharing strategy.

The invention provides a distributed power supply group control scheduling method and system based on source-load cooperation, and relates to the technical field of distributed power supplies. Decomposing the flexible load into a multi-dimensional characteristic parameter set with response delay, maximum adjustable power, sustainable response time and a user satisfaction function; and according to the current supply and demand target, based on the multi-dimensional characteristic parameter set, setting a target function with the minimum source-load matching error and the optimal scheduling cost, performing group control rolling optimization, generating a combined control strategy, performing target equipment execution instruction sequence decomposition, and sending to the distributed power supply and the energy storage equipment for execution control. According to the method, the technical problems of low utilization efficiency of the flexible load and difficulty in accurately adapting to the power supply demand due to lack of a multi-dimensional characteristic modeling and dynamic sorting mechanism for the flexible load group in the prior art are solved, and the technical effect of improving the dispatching accuracy and flexibility of the distributed power supply is achieved.

The invention discloses a group control method and device for air conditioners in a machine room, terminal equipment and a storage medium, and belongs to the field of air conditioner control. The method comprises the steps that the environment temperature of the machine room and the actual operation total power of all I T equipment are collected, and whether local hot spots exist in the machine room or not is judged; if yes, the hotspot grade corresponding to the local hotspot is judged according to the machine room environment temperature, and the air conditioner air volume of the area corresponding to the local hotspot is adjusted according to the hotspot grade; if not, the actual total operation power is larger than the first preset threshold value, the air conditioner temperature of all the areas is gradually reduced through gradient cooling, and the state of the machine room is monitored after the air conditioner temperature is reduced every time; when monitoring that the machine room state exceeds a first preset time, if the machine room state does not meet a preset state; if yes, the air conditioner air volume and the air conditioner temperature of each area are set in a rollback mode according to the recently recorded parameter snapshots. The problem of how to improve the regulation and control reaction speed while ensuring the accuracy of the group control process of the air conditioners in the machine room can be solved.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a multi-modal fusion unmanned aerial vehicle group AR command method and system. The method comprises the steps of receiving multi-mode interaction input such as voice and gestures of a user through an AR command terminal; analyzing and fusing the input by using a fusion decision engine to generate an unmanned aerial vehicle group cooperative control instruction; sending the instruction to an unmanned aerial vehicle group platform to control formation and behaviors; and the group state, the task path and the execution condition are visually presented in real time through an AR interface. The system comprises an unmanned aerial vehicle group platform, an AR command terminal, a multi-mode interaction module, a fusion decision engine and a communication module. Through multi-modal fusion and AR visualization, visual natural interaction and accurate group control are deeply combined, the problems of non-visual command, poor real-time performance and weak environmental adaptability in the prior art are effectively solved, and the efficiency, robustness and safety of unmanned aerial vehicle group command are remarkably improved.

The invention discloses a control device of a magnetic suspension bearing driver, a magnetic suspension bearing and a control method of the magnetic suspension bearing driver, and the device comprises a control unit which outputs a first group of control signals to an auxiliary resonance unit; the auxiliary resonance unit is arranged on the input side of the bridge circuit and provides bus voltage for the input side of the bridge circuit under the control of the first group of control signals output by the control unit based on preset power supply voltage; the control unit is also used for outputting a second group of control signals to the bridge circuit; and the bridge circuit is used for realizing soft switching control under the control of the second group of control signals output by the control unit based on the bus voltage provided by the auxiliary resonance unit. According to the scheme, the auxiliary resonance circuit is additionally arranged in front of the bridge circuit, and the equivalent capacitor module is additionally arranged in the bridge circuit, so that the switching power amplifier in the bridge circuit realizes zero-voltage starting, the switching peak current can be reduced, the power loss is reduced, and the service life of the switching power amplifier is prolonged.

The invention relates to the technical field of unmanned aerial vehicle cooperative control, and discloses a multi-unmanned aerial vehicle cooperative control method and system based on digital twinning, and the method comprises the steps: obtaining real-time data of a dynamic environment, carrying out the preprocessing and three-dimensional meshing, and obtaining a dynamic space-time grid structure; performing group path planning and conflict adjustment according to the dynamic space-time grid structure to obtain a group path set; according to the group path set, environment dynamic change is analyzed, and self-adaptive adjustment of individual paths is carried out when environment change parameters exceed a preset threshold value; and integrating and optimizing the group path set and the individual adaptive path to obtain a final unmanned aerial vehicle group control scheme. According to the method, intelligent and high-efficiency cooperative control of the unmanned aerial vehicle group in a dynamic complex environment can be realized.

The invention relates to the technical field of data processing, and discloses a cooling device energy-saving control method and system based on remote analysis. The method comprises the following steps: installing a sensor to obtain and pre-process operating parameters to obtain system state data; load prediction is carried out in combination with historical records; optimizing water pump parameters based on the predicted value, and generating frequency conversion control parameters; establishing a temperature difference control standard to obtain a differential target value; calculating a water pump cooperative operation scheme to form a group control instruction; parameters are evaluated and adjusted in real time, and an energy-saving control strategy is optimized. The technical problems that an existing cooling device control method lacks the load prediction capacity based on historical data analysis, a differential temperature difference control strategy and a multi-water-pump collaborative optimization mechanism are solved, efficient and energy-saving operation of the cooling device is achieved by establishing an intelligent control system based on remote analysis, and energy consumption is remarkably reduced.

The application relates to the technical field of data processing, and discloses a cooling device energy-saving control method and system based on remote analysis. The method comprises the following steps: installing a sensor to obtain operation parameters and preprocessing to obtain system state data; load prediction is performed in combination with historical records; water pump parameters are optimized based on the predicted value to generate variable frequency control parameters; a temperature difference control standard is established to obtain differentiated target values; a water pump cooperative operation scheme is calculated to form group control instructions; and real-time evaluation and adjustment parameters are calculated to optimize the energy-saving control strategy. The application solves the technical problems of lacking load prediction capability based on historical data analysis, lacking differentiated temperature difference control strategies and lacking a multi-water pump cooperative optimization mechanism in the existing cooling device control method. Through the establishment of an intelligent control system based on remote analysis, efficient and energy-saving operation of the cooling device is realized, and energy consumption is significantly reduced.

The invention provides a lamp set control method and system and a computer storage medium, a lamp set is provided with a center lamp and peripheral lamps, and the lamp set control method comprises the following steps: using a first model to respond to a user instruction, generating a scene image, performing color analysis on the image to generate a color pattern according to the scene image, color parameters of the scene image are extracted, and a first control instruction corresponding to the center lamp is generated according to a color pattern; acquiring lamp information of the lamp group, wherein the lamp information comprises a lamp type, a lamp layout and a lamp attribute; the color pattern, the color parameters and the lamp information are input into a second model, a second control instruction of the peripheral lamps is output from the second model, the second control instruction comprises a color control instruction matched with the local color of the peripheral lamps adjacent to the center lamp, and the lamp set is controlled through the first control instruction and the second control instruction.

The utility model belongs to the technical field of cable braiding, and relates to a high-speed braiding machine for cable production, which comprises a braiding main body and an output pipe arranged on one side of the braiding main body, a guide device is arranged in the output pipe, a first guide plate and a second guide plate are arranged, and a driving group is used for controlling a first connecting plate and a second connecting plate to move. The distance between the first guide plate and the second guide plate is controlled through movement of the first connecting plate and the second connecting plate, the adjacent sides of the first guide plate and the second guide plate are each provided with a plurality of guide blocks, and the edges of the adjacent sides of the multiple guide blocks are all arranged to be in an arc shape. The arrangement of the first guide plate and the second guide plate can guide the transmission of the braided cables, the arrangement of the plurality of guide blocks enables the transmission of the braided cables to be smoother, and the guide transmission of the cables of different specifications is realized by controlling the distance between the first guide plate and the second guide plate.

The invention discloses a compressed air group control and terminal optimization method, device and equipment, and relates to the field of compressor control. The method comprises the steps that the pressure of a tail end point location, the pressure of an air supply mother pipe of a target air compression station and the exhaust pressure of a target air compressor in the target air compression station are obtained; wherein the tail end point position is the most unfavorable point position of the tail end of the gas utilization equipment connected with the air compressor of the target station; determining a compound control signal of the target air compressor according to the pressure of the tail end point location, the pressure of an air supply mother pipe of the target air compression station and the exhaust pressure of the multiple air compressors in the target air compression station; and the compound control signals are sent to an electric control cabinet of the target air compressor, so that the electric control cabinet replaces the exhaust pressure of the target air compressor with the compound control signals to control the opening degree of an air inlet valve of the target air compressor. The system can meet field requirements, reduce the production accident rate and save energy.

The invention discloses an automatic program adaptation method and system for a multi-vehicle-type manufacturing process, electronic equipment and a storage medium, and the method comprises the steps that a group control server receives a production instruction, and the production instruction comprises a VIN code, a vehicle type code and an electric gun code of a vehicle; the group control server stores the production instruction in a queue form to obtain a virtual production queue; when the vehicle arrives at the entrance of the unmanned island, the group control server receives the trigger request signal, obtains a production instruction corresponding to the vehicle from the virtual production queue, and sends the obtained production instruction to the unmanned island; after the unmanned island receives the information, verification is successful, the unmanned island sends a command to the robot controller according to the vehicle type code, and a matched track program is called; and the unmanned island sends a command to the tightening controller according to the electric gun code and calls a matched tightening parameter program. The group control server pushes the VIN, the vehicle type and the electric gun code to the unmanned island, and double-automatic matching of a track program and a tightening program is completed in the same beat.

The utility model discloses a silicon controlled rectifier valve group with an air cooling heat dissipation assembly, which relates to the technical field of heater control and comprises an accommodating box, a plurality of groups of paired radiators are arranged in an inner cavity of the accommodating box, and silicon controlled rectifiers are clamped among the groups of radiators. The radiator is used for absorbing heat generated by the thyristor; the heat dissipation box is used for bearing the containing box, a plurality of heat dissipation fans are arranged in the heat dissipation box, the positions of all the heat dissipation fans correspond to the positions of all the sets of radiators, and the heat dissipation fans are used for blowing airflow to the heat dissipation fans; and the valve group control board is used for sending trigger signals to the silicon controlled rectifiers and controlling the on and off of the silicon controlled rectifiers. The silicon controlled rectifier valve group with the air cooling heat dissipation assembly achieves the technical effects of accurately regulating and controlling the temperature of the silicon controlled rectifier and improving the heat dissipation performance of the silicon controlled rectifier assembly.

According to the cable conveying system and the cable conveying method, a plurality of cable conveyors are grouped, frequency configuration of'same-group same-frequency and adjacent-group different-frequency 'is adopted, the adjacent-frequency interference problem of multi-device wireless communication is relieved from the source, and then a unified delay adjustment mechanism based on'speed adjustment time' is further combined, so that the transmission efficiency of the cable conveyors is improved. The remote controller instruction is accurately transmitted, false triggering is reduced, the reliability of grouping cooperative control is improved, the cable conveyor accurately executes an adjustment strategy, and the synchronism of same group control is improved. Meanwhile, a built-in operation data detection unit of the driver can obtain core parameters such as the rotating speed, the operation current and the output torque of the driving motor in real time, comprehensive state data support is provided for the display controller, dynamic adjustment of transmission parameters is facilitated, the possibility of uneven stress of cables and overload of equipment is reduced, and cable damage and fault risks are reduced.

The invention discloses a forklift charging pile off-peak electrical load control circuit, which comprises a main power supply, a control power supply, a plurality of charging units, a circuit breaker and a current transformer, and is characterized in that the control power supply comprises a plurality of contactors arranged in parallel, and each charging unit is connected with the control power supply through the contactor; the charging set 1 is connected with the contactor KM1, the charging set also comprises a time control switch, a current transducer, relays, an overcurrent alarm and a grouping control circuit, the overcurrent alarm and the contactor KM1 are arranged in parallel, the relay K1 is controlled by the time control switch, the charging set 1 is powered on by turning on the time control switch, and whether a coil of the contactor KM1 + N is powered on is determined by the relay K1 + N; and the overcurrent alarm KA is in a normally closed state when not overloaded and is disconnected after overload. The timing load hierarchical control is realized by using the combination of the time control switch, the feedback current and the comparator, and an overcurrent alarm signal is used as a re-hierarchical switching and re-delay timing signal, so that the control circuit is greatly simplified, and the control circuit is simple and reliable.

The invention discloses a group control emergency lighting system based on alternating magnetic field induction. The group control emergency lighting system comprises an alternating magnetic field induction module, an emergency lighting control module, a group control module, a power supply module and a function switching switch, the alternating magnetic field induction module comprises an inductor and a plurality of triodes; the emergency lighting control module receives a signal sent by the alternating magnetic field induction module; the group control module comprises a remote control switch, a signal receiver and a signal transmitter, and the signal transmitter receives a trigger signal of the remote control switch and transmits a control signal according to a preset frequency; the signal receivers receive the control signals transmitted by the corresponding signal transmitters; the power supply module is used for supplying power to the alternating magnetic field induction module, the group control module and the emergency lighting control module; the function change-over switch is used for controlling group control operation and operation stopping of the remote controller. According to the system, the construction cost of rewiring of the existing building is reduced, the group control capability is improved, and the system is simple to operate, has mobility and turnover performance, and is also suitable for temporary power utilization places.

The invention relates to an automatic grouping control method for large-specification high-quality special steel bars, and belongs to the technical field of steel rolling finishing. The method comprises the specific steps that S1, the optimal multiple-length length is automatically calculated according to the total sawing amount of batch numbers and the number of single-time sawing branches, and high-temperature bars are sawn; s2, a monitoring signal is set at an inlet of the straightening plate, and stepping discharging and accurate counting are carried out according to a preset stepping tooth position and the discharging number of each tooth position; and S3, after the bar marshalling is formed, the bar marshalling is conveyed through an output roller way, a transition space is arranged between the output roller way and the straightening plate, and when it is monitored that the bar marshalling completely leaves the straightening plate and enters the transition space, the marshalling trolley is controlled to lift up the bar marshalling and transfer the bar marshalling to the output roller way. According to the automatic marshalling device, automation of the whole marshalling process after high-temperature sawing of the large-specification high-quality special steel is achieved, the production efficiency, the yield and the operation safety are effectively improved, and the problems that manual operation is low in efficiency, prone to making mistakes and poor in safety are solved.

The application provides a flexible scheduling group and a scheduling method. The scheduling group comprises a manufacturing execution system, a logistics execution system, an intelligent group control system, a logistics intelligent trolley scheduling system and a process intelligent trolley scheduling system. The intelligent group control system receives a production plan issued by the manufacturing execution system, receives inventory material information of the logistics execution system, receives vehicle position information of the logistics intelligent trolley scheduling system and the process intelligent trolley scheduling system respectively, and formulates scheduling tasks of the process intelligent trolley and the logistics intelligent trolley in real time. Through deep cooperation of the intelligent group control system with the manufacturing execution system, the logistics execution system and other systems, overall management of the whole production process is realized. Through real-time sensing of data of environmental changes and / or data of demand fluctuations by the intelligent group control system, and through on-demand pulling, the coordination and stability of line operation are improved through cooperation with multiple systems.

The invention relates to the technical field of elevator group control and energy distribution, in particular to an elevator energy distribution system based on Internet of Things data acquisition, which comprises a state sensing module used for acquiring real-time operation data, passenger call data and power grid constraint instructions of an elevator group; a power cost prediction module for predicting and determining a scheduling power cost in response to a passenger call; the power hard constraint verification module is used for verifying whether the scheduling power cost meets the instantaneous power upper limit or not; the coupling dispatching cost calculation module is used for obtaining the estimated elevator waiting time of the elevator; the coupling dispatching cost of the elevator is calculated; the group control scheduling decision module is used for determining and assigning the elevator with the lowest coupling scheduling cost to respond to the passenger call; the passenger call is forcibly delayed; according to the method, prediction drift caused by factors such as equipment aging and friction change is effectively overcome, and the continuous reliability of power hard constraint verification is ensured.

The application provides a machine room air conditioner alarm cooperative processing method and system for device group control, relates to the technical field of control, and comprises the following steps: obtaining a plurality of air conditioner alarm information, performing spatial correlation analysis based on a device topology relationship, mapping the alarm information to a group control cooperative graph structure containing device nodes, alarm propagation edges and control dependency edges, identifying a root cause device node by using a reverse path backtracking algorithm, and generating a priority processing instruction. The application can accurately locate an alarm root cause, reduces a false alarm rate, and improves air conditioner system operation efficiency and energy utilization rate.

The present invention provides a lighting device (1) and the self-testing method thereof. The lighting device (1) includes a communication module (11), a memory module (12), a microwave sensing module (13), a control module (14), and a light-emitting module (15). The memory module (12) is connected to the communication module (11) and stores an aging table and a suspect count. The microwave sensing module (13) detects a moving object and generates a detection signal (Ds). The control module (14) is connected to the communication module (11), the microwave sensing module (13), and the memory module (12). The light-emitting module (1) is connected to the control module (14). The control module (14) checks the aging table when the microwave sensing module (13) generates the detection signal (Ds), and sets the suspect count to an initial value when determining that a preset number of the trigger records exist within a time window. The control module (14) generates the activation signal (As) to activate the light-emitting module (15), and broadcasts the activation signal (As).