7results about How to "Efficient automatic detection" patented technology

The utility model provides a mortar fluidity detection device. The mortar fluidity detection device comprises a support frame, a mixing assembly and a measuring assembly, the supporting frame is provided with a table board extending in the horizontal plane. The mixing assembly is movably mounted on the supporting frame and is suitable for stirring raw materials to obtain mortar; and the measuring assembly is mounted on the supporting frame and is suitable for receiving the mortar from the mixing assembly and uniformly discharging the mortar to the table board so as to obtain the expansion degree of the mortar which is completely spread and is in a static state, and the fluidity of the mortar is evaluated according to the expansion degree.

This utility model discloses a surface defect detection device for rubber roller production, comprising a feeding assembly, a rotary drive assembly, a discharging assembly, and a vision inspection assembly. The feeding assembly includes a feed plate for the rubber rollers to be inspected, a feed lifting ramp, and a lifting assembly for orderly conveying the rubber rollers to be inspected. The rotary drive assembly includes an active drive shaft for roller rotation, a passive drive shaft for roller rotation, a roller rotation drive motor, and a drive shaft mounting bracket to ensure stable rotation of the rubber rollers. The discharging assembly includes a discharge lifting ramp and a collection trough for collecting the inspected rubber rollers. The vision inspection assembly includes a translational drive rail and a surface defect detection camera to achieve omnidirectional scanning of surface defects on the rubber rollers. This equipment has a high degree of automation, accurate detection, effectively improves the quality control level of rubber roller production, and ensures the surface quality of the rubber rollers.

The invention provides an electric automobile power battery EIS detection device and method in the technical field of electric automobile power battery detection. The device comprises a main control module, a charging module, a battery module, a switching power supply module, an EIS detection module, an insulation detection module, a switch K1 and a switch K2. The charging module, the battery module, the switching power supply module, the main control module and the EIS detection module are connected in sequence; the detection end positive electrode of the insulation detection module is connected with one end of the switch K1 and the detection end positive electrode of the EIS detection module, the detection end negative electrode is connected with one end of the switch K2 and the detection end negative electrode of the EIS detection module, and the control end is connected with the main control module. The method has the advantages that the detection convenience, the field applicability and the equipment integration degree are greatly improved.

The invention discloses a docking system and method for a lightning arrester of a wind driven generator, and the method comprises the following steps: a controller obtains a picture shot by a visual detection device to control an unmanned mobile platform, and a mechanical arm drives a self-adaptive detection device to be docked with the lightning arrester, so that the ends of a plurality of conductive rods are in preliminary contact with the lightning arrester; the spring is compressed to provide passive pre-tightening force towards the lightning arrester for the conducting rod; the controller controls the linear motion mechanism to extend out of the target displacement to drive the conducting rod to continuously press the lightning arrester; the controller collects the actual displacement of the linear motion mechanism; the controller judges whether the error between the actual displacement and the target displacement is smaller than an error threshold value or not, if not, the controller controls the linear motion mechanism to retreat by the preset displacement, controls the linear motion mechanism to repeatedly execute multiple stretching and retreating operations, and then controls the linear motion mechanism to stretch out by the target displacement; and the end parts of the plurality of conducting rods are in stable contact with the lightning arrester. And safe and reliable automatic detection of the lightning arrester is realized.

The utility model relates to the technical field of steel drum leak detection, in particular to a pressure test leak detection device suitable for a steel drum. According to the technical scheme, the device comprises a test frame, a detection groove is formed in the front side of the test frame, a rear side groove is formed in the rear side of the test frame, an air storage tank is installed in the rear side groove, a rotating bottom plate is rotationally connected to the bottom of the detection groove, a loading groove is formed in the rotating bottom plate, and a transverse plate is installed at the upper end of the detection groove through a telescopic cylinder; the two sides of the transverse plate are provided with an ejector rod and an inflation head respectively, and the ejector rod and the inflation head are symmetrically distributed on the transverse plate. In the inflation detection process, the opening in the upper end of the steel drum can be aligned with the ejector rod through the rotation of the steel drum, then the inflation head can be ensured to be aligned with the opening in the upper end of the steel drum through the rotation of the transverse plate, the purpose of automatically aligning inflation detection is achieved, and automatic inflation detection can be more efficiently carried out.

This application relates to the field of underwater robot technology and discloses a multimodal fusion intelligent detection method for bridge defects using underwater robots. The method includes: acquiring a set of underwater environmental parameters; dynamically adjusting imaging parameters by optimizing the light propagation path to overcome problems such as light attenuation and scattering in the underwater environment; utilizing multi-sensor data fusion technology, combining sonar and optical imaging data to generate a high-quality sequence of bridge surface images; extracting, classifying, and weighting defects in the images to generate an intermediate image set containing defect features; and performing multi-dimensional verification and local correction to ensure the accuracy of the defect features; finally, by evaluating the quality of the intermediate image set, standardized image data is generated to provide reliable input for defect extraction. This application can provide efficient and accurate technical support for bridge maintenance and safety assessment.