1039results about How to "Improve working condition" patented technology

The invention discloses an energy storage energy management system for improving a demand protection algorithm, and the system comprises a data collection module which is used for obtaining energy storage system load data, distributed energy operation data, and energy storage system operation data; the correlation feature analysis module is used for acquiring a correlation feature set between the load and the energy supply; the control strategy generation module is used for adjusting a charging and discharging threshold value and formulating a charging and discharging control strategy; the control strategy execution module is used for formulating a charging and discharging control strategy and adjusting the working mode of the energy storage converter; the cooperative execution module is used for dynamically optimizing a power distribution strategy by dispatching distributed energy and power grid cooperative work; and the dynamic power adjustment strategy adjustment module is used for adjusting the charging and discharging protection threshold value and the power adjustment strategy through a feedback mechanism. Through an intelligent control and scheduling mechanism, the charging and discharging efficiency of the energy storage system is improved, the stability and flexibility of the power grid are enhanced, and effective guarantee is provided for safe operation of the power grid.

According to the thermal management method and system of the modular power supply, heating elements are identified, temperature sensors are installed to evaluate thermal resistance and thermal capacity under different load conditions, the thermal coupling effect between modules is evaluated, an isolation layer and a thermal bridge are designed to optimize heat flow, load distribution is dynamically adjusted, an intelligent control mechanism is implemented, temperature stability is ensured, and the reliability of the system is improved. An external environment is monitored, a heat dissipation strategy is automatically adjusted to adapt to different conditions, a temperature prediction model is established by using historical data, measures are taken in advance to prevent overheating, and the whole system comprises a temperature monitoring and data analysis module, a thermal coupling effect evaluation and optimization module, an intelligent load distribution and control module and an external environment monitoring and adaptation module. And the temperature prediction and prevention module ensures that the modular power supply can effectively dissipate heat under various working conditions, so that the reliability and efficiency of the system are improved.

The dynamic hot runner temperature control method suitable for the mold comprises the steps that S1, a temperature sensor is installed in a mold hot runner to collect flow characteristics, heat distribution and temperature original data in the material solidification process, and the temperature original data are transmitted to a temperature control system; s2, the required power adjustment amount Pc is calculated through a PID controller in the temperature control system according to the deviation value delta T between the actual temperature Ta and the set target temperature Ts, and the power adjustment amount Pc is sent to a heater for adjustment; s3, constructing a temperature prediction model M, and predicting the temperature change trend of each section of the mold hot runner through the temperature prediction model M; and S4, a multi-objective optimization function Ft is created, an optimal combination solution St is searched through a particle swarm optimization algorithm PSO, and the optimal set value combination of the hot runner temperature is maintained according to an optimization objective. According to the invention, the energy consumption is reduced while uniform temperature distribution is ensured, the temperature control precision and the response speed are obviously improved, and the requirement of human intervention is reduced.

The invention relates to the technical field of chip heat dissipation, in particular to a computer chip liquid cooling heat dissipation system and method. The heat dissipation control module is used for outputting a control instruction according to the temperature difference value, constructing a chip temperature prediction model, obtaining a chip temperature prediction value, adjusting a judgment result of a heat dissipation mode according to the chip temperature prediction value, and correcting a safe working temperature value according to the use duration of the chip; and the execution feedback module is used for controlling the cooling liquid adjusting device according to the control quantity, outputting alarm information according to the cooling liquid flow, constructing a preset flow dynamic adjusting model and obtaining preset flow automatic adjusting information according to the real-time environment temperature data and the real-time computer load data. According to the invention, the potential overheating risk can be found in time, and the stability and reliability of the system are improved.

The invention discloses a vehicle power supply distribution control management system and method, and relates to the technical field of vehicle power supplies, and the method comprises the steps: collecting the historical driving data of a vehicle and the driving behavior data of a driver, analyzing the driving habit of the driver, and monitoring the driving state of the vehicle in real time through combining with a vehicle-mounted sensor; comprehensively judging whether the vehicle enters a high-load state or not; when the vehicle enters a high-load state, the charging and discharging power of each battery module is dynamically adjusted according to the temperature distribution and load requirements of each battery module in the battery pack; evaluating the power supply condition of each battery module according to a power adjustment result, sending an early warning prompt to a driver if the power supply is insufficient, and continuously monitoring and analyzing the temperature difference between the battery modules in the battery pack and predicting the temperature change of each battery module if the power supply is sufficient, and the cooling strategy of the vehicle system is intelligently adjusted, and temperature balance of all battery modules of the vehicle in the high-load state is achieved.

The invention discloses a digital twin-driven photovoltaic module monitoring and self-purification system, belongs to the technical field of photovoltaic module cleaning, and realizes intelligent management and maintenance of a photovoltaic system through mutual cooperation of a sensing layer, an information capturing layer, an information transfer layer, an intelligent analysis layer, a decision support layer and an interactive experience layer. The sensing layer deploys various sensors to collect key data of the photovoltaic module; the information capturing layer transmits the data to a back-end processing system in real time; the information transfer layer ensures efficient transmission of data in the system; the intelligent analysis layer predicts a maintenance demand by using a machine learning algorithm, realizes predictive maintenance, and maintains the optimal working state of the component through an intelligent cleaning mechanism; the decision support layer provides decision support based on data analysis for an operator of the photovoltaic power station, and optimizes a maintenance plan and a productivity plan; and the interactive experience layer provides a visual management interface, so that the component state can be remotely monitored conveniently.

The invention discloses an anode potential adjusting device and an electron accelerator, the electron accelerator comprises a first electrode plate, a second electrode plate and a high-voltage end, the high-voltage end is connected with the first electrode plate, the anode potential adjusting device comprises a rheostat and an oil cylinder, and the rheostat is connected with the oil cylinder. The rheostat is connected between the first electrode plate and the second electrode plate; the oil cylinder is connected with a hydraulic pump through a hydraulic oil pipeline, a piston of the oil cylinder is connected with the rheostat, and the piston is used for driving the rheostat to adjust the resistance value. According to the invention, the change condition of the beam current can be observed in real time under the condition that the high voltage and the beam current exist simultaneously, so that the optimal anode resistor can be optimized more easily, and the electron gun can be in the optimal working state.

The invention relates to the field of juicer communication, in particular to a background communication method and a background communication system for a juicer system. The method comprises the following steps: obtaining a fruit and vegetable image reserved in a juicer; performing self-adaptive juicing feature analysis on the reserved fruit and vegetable image, performing intelligent juicing parameter adjustment, and constructing a self-adaptive juicing strategy; identifying surrounding environment parameters of the juicer; according to the surrounding environment parameters of the juicer, a self-adaptive juicing strategy is carried out, environment trend influence intelligent adjustment is carried out, juicing control simulation is carried out, and juicing control simulation data are obtained; multi-period juicing effect evolution is carried out on the juicing control simulation data, abnormal state prediction is carried out, and juicer abnormal early warning signals and juicer abnormal fault prediction information are generated; acquiring the network access state of the current juicer; through efficient and rapid background communication, the juicer use experience and performance of a user are improved.

The invention relates to the technical field of plasma generators, and particularly discloses a self-adaptive control system and method of a plasma generator, and the method comprises the steps: carrying out the feature extraction of a voltage time sequence data set, a current time sequence data set and a plasma density time sequence data set through employing a data analysis and coding technology based on deep learning, meanwhile, time sequence feature extraction is carried out on curves of voltage, current and plasma density which correspond to each control mode and change along with time; therefore, the optimal control mode of the target plasma generator is intelligently screened out according to the fast scanning semantic query representation between the multivariable time sequence implicit cooperation feature of the plasma generator and the multivariable time sequence implicit coding feature of each control mode. By means of the mode, the future parameter change trend can be predicted more accurately, the optimal control mode can be intelligently screened out, and compared with a traditional threshold value judgment method, early warning can be carried out in advance before the parameters are close to but do not exceed the safety range.

The invention discloses a hemispherical resonator gyroscope attitude drift error compensation method, and relates to the technical field of resonator gyroscopes, and the method comprises the following steps: S1, system modeling: firstly, establishing a mathematical model of a hemispherical resonator gyroscope, including dynamic characteristics and a noise model, for designing a PID controller; s2, a PID controller is designed, the proportion P, integral I and differential D parameters of the PID controller are designed according to the system model, and the parameters determine the response speed and stability of the controller to error signals; s3, error signal calculation: calculating an error signal between the actual output and the expected output of the system in real time, and taking the error signal as the input of a PID (Proportion Integration Differentiation) controller; by comprehensively applying the steps, the robustness of the HRG can be remarkably enhanced, the HRG can still keep high precision and stability when facing environment change, system aging or non-ideal working conditions, and a closed-loop control mechanism is combined to ensure that the system can maintain good performance under various conditions.

The invention relates to the technical field of automatic dust removal equipment, and discloses safe-filtering electrical automatic dust removal equipment which comprises a main body, a partition plate is fixedly connected to the interior of the main body, an adsorption pump is fixedly connected to the top of the partition plate, an outlet bin is fixedly connected to the bottom of the main body, and a rotating ring is arranged at the end, away from the adsorption pump, of the partition plate; the end, close to the adsorption pump, of the connecting disc is in bolted connection with the partition plate. The spiral structure in the arc-shaped vertebral plate can guide gas sprayed out through the hollow ring, so that the gas flows in a downward spiral flowing mode when being sprayed out, and dust on the surface of the filter layer is sprayed downwards to be cleaned; the dust collector has the advantages that stronger impact force and downward traction force can be generated on dust on the surface of the dust collector, so that the dust is more effectively cleaned, the dust is prevented from being accumulated on the surface of the dust collector, and a filtering layer is prevented from being blocked.

The invention provides a cloud computing-based narrow-linewidth 1200 nm semiconductor laser data processing system, and relates to the technical field of data processing, and the system comprises a laser transmitting module which is used for transmitting a narrow-linewidth 1200 nm laser beam by using a semiconductor laser; the data acquisition module is used for being connected with the laser emission module, acquiring state parameters, including power, wavelength, line width and working environment data, of the laser beam in real time, and preprocessing and digitally converting signals output by the sensor; and the cloud processing platform module is used for receiving and processing the data of the data acquisition module, realizing real-time analysis, anomaly detection, trend prediction and remote monitoring of the data, and obtaining an analysis result of a cloud processing platform. According to the invention, remote intelligent monitoring and automatic optimization adjustment of the laser are realized, and the data processing efficiency and the performance stability of the laser are improved.

The invention discloses a steel structure welding device and method for hull structure construction, and particularly relates to the technical field of welding, the steel structure welding device for hull structure construction comprises a walking unit and an annular outer gear ring, the annular outer gear ring is concentrically arranged outside the walking unit in a sleeving mode to complete welding guiding, and a welding arm is movably arranged on the annular outer gear ring. Following switching of the welding unit and the processing unit is completed through dynamic sensing of the sensing mechanism, so that the welding unit and the processing unit can rapidly move to the preset position of a machining area, repeated debugging is avoided, meanwhile, the purification mechanism can complete active limitation at the limiting position in the switching process of the welding unit and the processing unit, and the welding efficiency is improved. And by means of the design of the control piece, follow-up opening and closing can be completed with the welding unit and the processing unit, the purification precision is guaranteed, meanwhile, the processing unit in the running state can complete the active cleaning action of the processing unit, and the good cleaning state is guaranteed.

The invention discloses an efficient light guide mounting bracket matched with a solar photovoltaic panel, which comprises an equipment base, a photovoltaic panel, a Fresnel lens, a magnetic field generator and a temperature difference generator, and is characterized in that the equipment base is fixedly connected with a rotating mechanism, and the rotating mechanism is movably connected with an inclination mechanism for adjusting the angle of the photovoltaic panel; a supporting mechanism is movably connected to the upper portion of the rotating mechanism and comprises a fixing support movably connected to the rotating mechanism. Through the wind-resistant mechanism, self-adaption to different wind power environments is achieved, the magnetic field intensity of the magnetic field generator is regulated and controlled, the magnetorheological fluid increases resistance to limit shaking under strong wind and reduces resistance to guarantee flexible rotation in breeze, meanwhile, a Faraday cage formed by the magnetorheological fluid shields electromagnetic interference, a photovoltaic panel is protected against wind power damage, stability of an electrical system is guaranteed, and the service life of the photovoltaic panel is prolonged. And the equipment fault risk is reduced, the service life is prolonged, and the solar photovoltaic power generation system is ensured to continuously and stably operate in a complex outdoor environment.

The invention relates to the technical field of photovoltaic power station management, in particular to an intelligent management platform and method for ultra-high altitude photovoltaic equipment. The platform integrates a plurality of subsystems of data acquisition, big data analysis, intelligent IV diagnosis, intelligent operation and maintenance and the like, and aims to realize efficient and intelligent management of photovoltaic power station equipment. According to the invention, efficient and accurate operation and maintenance management of the high-altitude mountain photovoltaic power station is realized through intelligent and digital means.

The invention discloses a sun tracking method based on light spot contour detection, and relates to the technical field of light spot contour detection and tracking. According to the solar tracking method based on light spot contour detection, image data of a solar spot contour area are obtained and analyzed in real time, and a light spot position deviation index, a light spot shape distortion index, a light spot brightness uniformity index and a light spot contrast uniformity index of the solar spot contour area are obtained and comprehensively analyzed; the method comprises the steps of obtaining a light spot comprehensive deviation index of a solar light spot contour area, judging and analyzing the comprehensive deviation index of the solar light spot contour area and a preset deviation threshold range, and adjusting and analyzing sunlight receiving equipment when the comprehensive deviation index of the solar light spot contour area is out of the preset deviation threshold range. Through multi-dimensional comprehensive analysis on the solar facula, the deviation condition of the facula can be accurately evaluated, so that a tracking system can capture fine deviation in real time, and the tracking direction and amplitude are adjusted in time.

The invention discloses a power distribution cabinet with a temperature adjusting function, and relates to the field of power distribution cabinet heat dissipation, the power distribution cabinet with the temperature adjusting function comprises an equipment frame, a square frame fixedly penetrates through the top of the equipment frame, and the power distribution cabinet further comprises a moving device; wherein the moving device comprises a fixed frame, a ventilation plate, a fan, a rotating rod, a circular plate, a rotating plate, a sleeve, a supporting rod, a sliding block, a U-shaped plate, a fixed block, a connecting plate, a moving plate, a connecting block, a bearing block, a square block and a filtering plate, the fixed frame is slidably installed in the square frame, and the ventilation plate is fixedly installed in the fixed frame. According to the power distribution cabinet with the temperature adjusting function, the ventilation effect is achieved by opening the ventilation opening, the situation that the interior of equipment is overheated, and consequently the equipment cannot operate normally is prevented, the humidity in the cabinet can be reduced through good ventilation, meanwhile, the area of the ventilation opening is increased along with increase of the rotating speed of the internal fan, and self-adaptive adjustment can be conducted according to changes of the temperature in the cabinet.

The invention discloses an intelligent control method and device for a die casting deburring process. The intelligent control method comprises the steps that a grinding head advancing track is generated according to a trimming contour of a die casting; the method comprises the following steps: extracting burr characteristics by analyzing a die casting image, and matching proper deburring audio data according to the burr characteristics; the abrasion degree of the grinding head is detected, the advancing track of the grinding head is corrected, and meanwhile corresponding grinding head control data are generated; and in the deburring process, audio feature data are collected in real time and compared with preset audio data, and if the similarity does not reach the standard, the grinding head track and the control data are adjusted. By accurately analyzing the abrasion of the grinding head and automatically correcting the track and control parameters of the grinding head, the high-quality and high-efficiency deburring effect is ensured in combination with real-time audio monitoring, manual intervention is reduced, the service life of equipment is prolonged, and the product consistency is improved.

The invention provides an industrial telephone communication signal enhancement method and system. The method comprises the following steps: step 1, acquiring historical communication signal data, real-time communication signal data and environment data of an industrial telephone; according to the method, the signal interference recognition model is constructed, the interference signal features are accurately recognized, interference is removed through the intelligent filtering algorithm, the problems of signal strength weakening and call quality reduction caused by electromagnetic interference are effectively solved, meanwhile, the influence of environmental factors such as temperature and humidity on communication signals is considered, corresponding compensation measures are adopted, and the communication quality is improved. The adaptability and the stability of the system in a complex industrial environment are improved; signal relay equipment is arranged, so that the signal coverage range is effectively expanded, and efficient communication and coordination among departments in industrial production are ensured; dynamic adjustment is carried out according to the communication signal quality monitored in real time, it is guaranteed that the system is in the optimal working state all the time, and the intelligent level and stability of the system are improved.

The invention discloses a floating type wind energy-distance-adjustable wave energy combined power generation device which comprises a wind power generation module, a distance-adjustable wave energy power generation module and a floating type platform. The wind power generation module and the wave power generation module are both mounted on the floating platform; the distance-adjustable wave power generation module comprises a hydraulic system, a first hydraulic cylinder, a connecting arm, a floater and a second hydraulic cylinder; one end of the second hydraulic cylinder is connected with the floater, and the other end is connected with one end of the connecting arm; one end of the first hydraulic cylinder is hinged to the middle of the connecting arm, and the other end of the first hydraulic cylinder is hinged to a tower of the wind power generation module. And the other end of the connecting arm is also hinged to the tower drum of the wind power generation module. Wind energy power generation and wave energy power generation are combined, offshore renewable energy sources are fully utilized, and the floating platform is suitable for larger water depth; meanwhile, the platform load can be reduced by controlling the wave energy power generation device, and the reliability and safety of the integrated power generation system are improved.

The new energy automobile outdoor charging pile with the rainy day electric leakage detection function comprises a box body, supporting legs, a charging wire, a charging gun, a charging module, a controller and a spraying mechanism, a first motor is arranged at the bottom of the box body and is in drive connection with a disc, the disc is connected with a rotating plate through a first electric push rod, and a vertical plate is arranged on the top face of the rotating plate; the two sides of the vertical plate are connected with a first shell and a second shell through a second electric push rod and a third electric push rod respectively, the first shell is provided with an analog interface, the second shell is provided with a moving mechanism, the bottom of the moving mechanism is provided with an arc-shaped plate, the inner side wall of the second shell is provided with a cylinder, the cylinder is sleeved with a sealing ring, and the end of the charging gun is provided with an annular groove. A sealing ring and an air bag are arranged in the annular groove, the air bag is connected with an air pump, and the charging wire is sleeved with an induction coil. The spraying mechanism is arranged to simulate the rainy day environment, the induction coil is used for detecting the leakage current of the charging line, the sealing ring is replaced when the leakage current exceeds a preset value, the sealing performance is improved, and electric leakage accidents during charging in rainy days are avoided.

The invention relates to the technical field of power supply control, in particular to a power supply control device and a power supply control method and system. The method comprises the following steps: acquiring electromagnetic compatibility parameter data of a power supply device; performing simulation analysis on an electromagnetic environment in the power supply device according to the electromagnetic compatibility parameter data, and predicting high-frequency harmonic waves and electromagnetic interference in a switching process to obtain electromagnetic interference prediction data; performing control design on the soft switch according to the electromagnetic interference prediction data, and generating soft switch control scheme data; switching operation is carried out in the state that the voltage of a switch element is close to zero based on the soft switching control scheme data, current and voltage waveform smooth optimization design is carried out on a resonance circuit, and optimized topological structure data is generated. According to the invention, the overall performance and reliability of the power supply system are significantly improved by improving the electromagnetic compatibility, reducing the switching loss, optimizing the design, monitoring in real time, dynamically adjusting and the like, and the higher requirements of modern electronic equipment on the power supply system are met.

The invention relates to the technical field of underwater dredging construction. The underwater dredging construction method comprises the steps that environment information of a to-be-constructed area is obtained, the environment information is input into a sludge physical property model, sludge physical property information is obtained, the sludge physical property information is compared with a preset sludge standard value, a comparison result is obtained, and the sludge type is determined based on the comparison result. And selecting a sludge construction mode corresponding to the sludge category based on the sludge category, adjusting working parameters of the construction equipment according to the sludge construction mode, and after the working parameters are adjusted, executing dredging construction until the dredging task of the to-be-constructed area is completed. The method has the effects of improving the construction efficiency and reducing equipment damage.

The invention discloses a bionic climbing robot cluster formation input sharing control method, and particularly relates to the field of robots, and the method comprises the following steps: S1, a plurality of bionic climbing robots are connected through a wireless communication module to form a cluster, and a main robot is selected as a cluster control center; s2, all the bionic climbing robots obtain environment data through respective environment sensing modules and upload the data to the cluster control center in real time; s3, the cluster control center generates a control instruction according to the collected environment data in combination with a preset task target and a formation strategy; s4, the cluster control center broadcasts the generated control instruction to all the bionic climbing robots in the cluster through a wireless communication module; and S5, the bionic climbing robots execute corresponding actions according to the received control instructions, and cluster formation and collaborative operation are achieved. The method has the advantages that automatic obstacle avoidance and conflict adjustment can be achieved, and efficient operation and cooperation in a complex environment can be achieved.

The invention relates to the technical field of temperature early warning management, in particular to an electrolytic bath temperature central monitoring and early warning system. The system comprises an in-tank temperature frequency domain analysis module, an in-tank temperature and energy consumption influence analysis module, an in-tank electrolytic strength abnormity response adjustment module, an in-tank temperature over-low abnormity early warning adjustment module and an in-tank iterative execution influence analysis module. Temperature sensors are arranged at key positions in an electrolytic cell to monitor temperature signal distribution in the cell in real time and carry out frequency domain analysis, and meanwhile, corresponding current and voltage are obtained, electrolyte energy consumption analysis and time sequence influence analysis are carried out, and a time sequence correlation influence degree is obtained; and if the conditions are gradually increased and the temperature fluctuation is increased, designing and implementing an energy consumption abnormity response measure, if the conditions are gradually reduced and the temperature fluctuation is reduced, designing and implementing a temperature abnormity response measure, and if the conditions are judged to be other conditions, continuing to iteratively execute the time sequence influence analysis. The stability and quality of the electrolysis process can be guaranteed.

The invention provides a new energy automobile battery temperature control system which comprises a battery pack, a battery pack, a liquid cooling pipeline, a backflow pipeline, an expansion water tank, a first circulating pump, a heat exchange body, a second circulating pump, a heat pump system, a resistance heater and a PTC heater. The battery pack is arranged in an inner cavity of the battery pack, the liquid cooling pipeline and the backflow pipeline are both located in the inner cavity of the battery pack and surround the battery pack, and a temperature sensor is arranged in the inner cavity of the battery pack; the liquid cooling pipeline and the backflow pipeline are provided with a plurality of branches, and each branch is provided with a temperature sensor. A three-way valve is arranged at one end of the liquid cooling pipeline and one end of the backflow pipeline; the liquid cooling pipeline is connected with the first circulating pump and penetrates through the heat exchange body to form a circulating loop with the expansion water tank, the heat exchange body is connected with the second circulating pump, the other end of the backflow pipeline is connected with the heat pump system, the other end of the heat pump system is connected with the PTC heater, and one end of the first circulating pump is connected with the resistance heater.

The invention relates to an intelligent fireproof door control method, system and device based on artificial intelligence and a medium, and the method comprises the steps: obtaining equipment data and sensing data of an intelligent fireproof door in real time, carrying out the feature extraction of the sensing data, and obtaining a feature data set; performing evaluation processing on the environment data according to the feature data set to obtain corresponding environment evaluation information, and performing state analysis on the equipment data to obtain corresponding fireproof door state data; transmitting the environment evaluation information and the fireproof door state data to a preset control model, performing instruction analysis on the fireproof door state data through the control model to obtain a corresponding control instruction, and generating a corresponding instruction task based on the environment evaluation information in combination with the control instruction; the intelligent fireproof door is controlled according to the instruction task, feedback information of the intelligent fireproof door is obtained, model parameter optimization is conducted on the control model according to the feedback information, and the optimized control model is obtained. The method can accurately identify the tiny signs at the initial stage of the fire.

The invention discloses edge cutting equipment for aluminum curtain wall material plate machining, and relates to the technical field of plate edge cutting equipment. Comprising a base; the bottom end of the top cover is fixedly connected with the outer wall of the base; the outer walls of the rollers are rotationally connected with the inner wall of the base, and the rollers are linearly arrayed along the inner wall of the base. The driving device is arranged, the friction rollers are driven by the driving motor and the belt pulley set, plates can be rapidly and stably pushed to move towards the cutting device, the conveying efficiency of the plates is improved, and the conveying efficiency of the plates is improved. Therefore, the edge cutting operation speed is increased, and all parts of the equipment work cooperatively, so that the whole machining process is smooth and efficient. And all links of limiting, conveying, cutting and chip removing of the plate are in close fit, so that the operation time and the labor cost are reduced, and the production efficiency is improved.

The invention discloses a control method and system applied to a bridge landscape, a product and a storage medium, and relates to the technical field of bridges. By acquiring the monitoring data of the detection points in real time and comparing the monitoring data with the preset threshold value, the influence of environment change on fountain operation can be found in time. When monitoring data exceeds a threshold value, the monitoring data and historical data are input into the prediction model together, and the change trend of the environment in a period of time in the future can be obtained. And according to the prediction result, an optimal fountain parameter combination is selected from a preset mapping relation table, the optimal fountain parameter combination comprises spraying force, angle, duration, water column shape and the like, and the fountain operation is adjusted in real time according to the optimal fountain parameter combination. And after adjustment, analyzing whether the actual spray amount reaches the expectation or not through image recognition, and if not, continuing monitoring and adjustment. The circulation can ensure that the fountain is always in the optimal working state when the environment changes, and can prevent water from splashing to influence the driving safety.

The invention discloses a motor cooling control system with a fault diagnosis function, and relates to the field of motor cooling control, and the system comprises a water pump, a water pump controller, a pipeline, a plurality of sensors, and a fault diagnosis module. Early warning of faults such as pipeline blockage, pipeline leakage, water pump degradation and water pump failure is achieved, the self-adaptive compensation function is achieved, control parameters can be automatically adjusted when the performance of part of assemblies is degraded, the optimal working state of the system is maintained, and the overall reliability is improved. In order to realize the accuracy of a prediction result, blind source separation is carried out on a water pump vibration signal and a pipeline vibration signal based on an independent component analysis method, clustering sampling is carried out on sample data through a clustering algorithm, sample redundancy is reduced, meanwhile, periodic changes of motor temperature are considered when the water pump degradation degree is predicted, and the prediction accuracy is improved. And the prediction accuracy is improved.