8results about How to "Implementation failure" patented technology

The invention discloses an intelligent self-adaptive industrial robot control system and method, and the method comprises the steps: carrying out the automatic recognition and self-inspection of a sensor, an actuator and a controller module through a standardized interface when the system is started; various sensors are used for environment monitoring, acquired data are stored in a cloud end, and a sensor fusion technology is applied for integration; the system state and the environment condition are monitored in real time, machine learning and an artificial intelligence algorithm are used for analyzing the operation state and the task effect, and a corresponding operation strategy is formulated; based on task execution and environment information, an execution path is generated by adopting a path planning algorithm, and an operation strategy and parameters are dynamically adjusted according to real-time feedback; a real-time safety monitoring mechanism is introduced, and a safety threshold value is set; sensor data are analyzed regularly, potential faults are identified, and fault prediction is carried out; according to the intelligent self-adaptive industrial robot control system and method, when the robot is designed, the safety of man-machine cooperation is considered, and safety protection measures are added.

The invention relates to the technical field of ship seawater piping system control, in particular to a ship seawater piping system centralized control monitoring system and a control method. According to the invention, remote multi-stage monitoring and control of the whole ship seawater system can be realized, the current state of the seawater system can be timely mastered, an accurate basis is provided for operation and maintenance of a marine engine department, remote operation of equipment or timely decision-making of faults is realized, and operability and maintainability of the seawater system are greatly improved; remote control of the seawater main pipe pneumatic butterfly valve is achieved through the seawater main pipe pneumatic butterfly valve remote control system, monitoring and self-cleaning control of the working state of a seawater filter are achieved through the self-cleaning seawater filter monitoring system, and monitoring of the working state of an anti-corrosion sleeve is achieved through the anti-corrosion sleeve monitoring system. Fault links of the seawater system can be found and handled in the first time, and stable and normal operation of the whole ship seawater system is ensured.

The invention relates to the technical field of data processing, and particularly provides an intelligent prediction method, system and device for industrial power consumption and a storage medium, and the method comprises the steps: collecting power consumption load, production operation, environment and time calendar multi-source data, carrying out the fusion, cleaning and abnormal value processing, constructing a preprocessing time series data set, and generating state marking features in the abnormal processing; feature engineering is carried out on the data set, and lagging, sliding statistics, trend, periodicity and external causal features are extracted; standardizing the numeric features, combining the standardized numeric features with the category features, and constructing a model input feature set; and inputting the set into a pre-trained hybrid prediction model, fusing output results of the time sequence deep learning model and the integrated learning model therein, and finally outputting point prediction and interval prediction of the industrial electrical load. According to the method, through multi-source fusion and refined feature engineering, the cognition and prediction precision of an industrial power consumption complex mode is remarkably improved.

The multiple embodiments of this specification relate to a method and system for monitoring electrical components of a forklift. The method includes: setting a vibration sensor on the chassis and wiring harness of the forklift; setting an infrared camera to monitor the temperature of the wiring harness connector; setting a camera in the forklift cab to capture the instrument panel image and the image in front of the forklift; setting a controller, the controller is connected to the vibration sensor, the infrared camera and the camera; the controller obtains the operating time of the forklift according to the instrument panel image and the image in front of the forklift; the operating time, the temperature of the wiring harness connector, the chassis vibration curve, and the wiring harness vibration curve are input into a pre-configured fault prediction model to obtain a wiring harness fault prediction result.

The utility model discloses an anti -explosion type elevating seat, including elevating seat body, pressure -relief device, gas monitoring devices and gas relay, the top of elevating seat body is established with first interface and second interface, and the middle part or upper part position is established with third interface, gas monitoring devices are connected on first interface, are used for monitoring the gas in elevating seat body whether satisfies set requirement, and gas relay is connected on second interface, is used for executing alarm action when the pressure in elevating seat body exceeds set value, and pressure -relief device includes diaphragm type pressure -relief mechanism and oil pipe, and diaphragm type pressure -relief mechanism one end is connected on third interface, and the other end is through oil pipe and leads to the oil pool below third interface, is used for when the pressure in elevating seat body breaks diaphragm to export oil flow and air current. The utility model discloses an anti -explosion type elevating seat can improve transformer operation safety, realizes quick pressure -relief, effectively avoids the accident to occur. The utility model also provides a converter transformer.

This application discloses a traffic light status verification method and apparatus, relating to the interdisciplinary fields of intelligent transportation systems and computer vision. The method includes: acquiring video stream data of traffic lights from roadside equipment at a target intersection, and determining a first phase list for a traffic light status change cycle based on the timestamps of the video stream data; acquiring signal control data of the traffic lights, and determining a preset second phase list for a traffic light status change cycle based on the signal control data; and comparing the first phase list and the second phase list phase by phase to perform real-time verification of the traffic light status. This method eliminates the need for manual inspection, enables periodic output of traffic light status verification results, reduces maintenance costs, and can detect hardware and software faults in the signal control unit, improving maintenance efficiency. It broadly meets the requirements for traffic light verification in assisted driving and autonomous driving systems.

According to the testing device for testing the performance of the dual-motor system, the two motors are installed on the testing stand at the same time, the differential mechanism and the electromagnetic brake are arranged on the testing stand, output performance testing of the single motor and the two motors and fault-tolerant performance testing between the two motors can be achieved, the testing device can be installed on the impact vibration testing stand, and the testing efficiency is improved. The function performance test of the motor under the environment conditions of random vibration test, impact test and the like is realized.

The application relates to a detector device with a universal structure, which solves the technical problem that the existing detector products cannot work in the optimal working state, and comprises a combined fixing base, a posture adjusting frame, an adjusting frame, a detector core and a circuit board, the combined fixing base is connected with the posture adjusting frame, the adjusting frame is rotationally connected with the posture adjusting frame, the circuit board is connected with the combined fixing base, and the detector core is connected with the combined fixing base.