77results about How to "Quick snap" patented technology

The invention discloses an intelligent fault diagnosis method based on a multi-input neural network. The method comprises the steps of data acquisition, preprocessing, feature extraction, model training and fault judgment. A variety of sensor signals are collected from the device, de-noised and normalized to generate high quality features. Time domain and frequency domain features are extracted in combination with methods such as wavelet transform, deep learning is performed on feature data by using a neural network, and a potential fault mode is identified. Through the trained model, the system can detect and classify faults in real time, output fault levels and diagnosis reports, and provide support for equipment maintenance. The method is suitable for a large-scale complex environment, has high diagnosis precision and quick response capability, effectively improves the management efficiency, and reduces the non-planned downtime.

The invention relates to the technical field of medical data analysis, in particular to a lung cancer dynamic evaluation method and system based on immune monitoring, and the method comprises the following steps: collecting immune index data obtained in the immune monitoring process of a patient, analyzing the mean value change between adjacent segments of an immune index data time sequence, marking an abnormal fluctuation region, and calculating the immune index data; and generating abnormal fluctuation section data. According to the method, the immune monitoring data of the patient are divided into the time sequences, the abnormal fluctuation sections and the abnormal change points are accurately extracted through the mean value change analysis and sliding window method, the remarkable fluctuation of the immune system can be captured more rapidly and accurately, and therefore the timeliness of dynamic monitoring is improved. And further in combination with statistical feature analysis and similarity matrix calculation, differentiated grouping of immune indexes among patients is refined, and personalized evaluation for patient groups with different immune states is facilitated.

The invention relates to the technical field of enterprise cloud management, and discloses an ERP enterprise cloud management system, which comprises a system main body deployed based on a cloud computing architecture, the system main body is integrated with a financial management module, an inventory control module, a purchase management module, a sales management module, a production plan module, a human resource management module and a customer relationship management module, and data interaction interfaces and cooperative work mechanisms are arranged among the modules; data are stored by the cloud storage unit, and a data processing task is executed by the cloud operation unit. The ERP enterprise cloud management system breaks data barriers among departments of an enterprise, integrates core modules of financial management, inventory control, purchase management, sales management, production planning, human resource management, customer relationship management and the like, ensures the accuracy and consistency of data, and realizes the cloud management of the enterprise through a data sharing function. All the modules can obtain needed data and information in real time, and seamless transmission and cooperative work of the information are achieved.

The invention belongs to the technical field of new energy equipment anomaly analysis, and relates to a variable pitch component anomaly detection method and system and a readable medium, and the method comprises the following steps: calculating the actual pitch angle standard deviation of a blade, and recognizing whether the variable pitch angle is abnormal or not through the actual pitch angle standard deviation; if the variable pitch angle is not abnormal, the standard deviation of the collected data of all the measuring points is obtained, and whether measurement abnormity exists in all the components or not is judged one by one according to the standard deviation of the collected data; if the measurement abnormity does not exist in each part, calculating the slope of the standard deviation of the collected data, so as to judge whether the standard deviation of the collected data has a rising trend or not and judge whether a gradual deterioration risk exists or not; and if the deterioration risk does not exist, calculating a correlation matrix among the measuring points under various working conditions through the established working condition model, and judging whether the variable pitch component is abnormal under various working conditions according to the correlation matrix. According to the method, more complete and careful abnormal detection of the variable-pitch component can be realized.

The invention provides a data retrieval system and method based on a large language model and a readable storage medium. The system comprises a data analysis module, a multi-mode integration module, a semantic retrieval module and a post-processing module which are arranged in sequence. The data analysis module analyzes the original engineering data to generate structured data; the multi-modal integration module maps the structured data to the same semantic vector space to construct a vector database, and establishes a cross-modal association index to construct a multi-modal engineering knowledge graph; the semantic retrieval module is based on a large language model and a retrieval enhancement technology, responds to a natural language query of a user, retrieves related information from a vector database and a multi-modal engineering knowledge graph and generates answers; the post-processing module performs abstract generation on the natural language answers based on a large language model and generates associated recommendation content. According to the method, the query accuracy, the retrieval efficiency and the user query interaction experience can be remarkably improved; and the scheme reuse rate can be improved based on the recommended content.

The invention relates to the technical field of ship automatic control and information safety, solves the technical problem that a traditional method cannot effectively monitor in real time and quickly give an early warning to prevent various accidents when an inland ship is in a complex and changeable operating environment, and particularly relates to an abnormal state detection method and system for a shore-based driving and controlling inland ship group. The method comprises four parts: identity authentication, node anomaly detection, dynamic trust evaluation and node adaptive control. According to the method, only reliable entities can participate in communication through a strict verification process and continuous trust evaluation, so that communication safety is enhanced, comprehensive and real-time monitoring of inland ship groups is realized, abnormal conditions such as physical faults or network attacks can be found in time, potential risks can be warned in advance, and the inland ship groups can be monitored in real time. Therefore, the safety and the reliability of the whole navigation are improved.

The invention provides a personalized recommendation method and system for hot events, and relates to the technical field of big data analysis, and the method comprises the steps: collecting multi-source real-time data; preprocessing the multi-source real-time data to obtain multi-source real-time preprocessed data; performing weighted fusion on the multi-source real-time preprocessing data to obtain a weighted fusion score; generating a hotspot event based on the weighted fusion score; and retrieving the hot events to generate personalized recommendation contents meeting user requirements. According to the invention, real-time and intelligent generation of the hotspot event is effectively realized, personalized hotspot event recommendation is provided for the user, and the user experience is improved.

The invention discloses a test device for simulating migration and transformation of pollutants in underground water. The test device comprises a sand box, a water supply system and a drainage system, the sandbox is internally divided into a water inlet well, a water outlet well and a sand tank; the water inlet well adjusts water head height and is connected with the water supply system; the water supply system, the water inlet well and a passage therebetween are sealed; the sand tank simulates an aquifer soil body and is filled with a soil sample or quartz sand; the water outlet well is connected with a drainage system; the water inlet well and the water outlet well are separated from the sand tank through partition plates, a plurality of through holes are formed in the partition plates, and filter cloth is arranged on the surfaces of the partition plates facing the sand tank. A plurality of pore water sampling holes are formed in the front upper part of the sand tank; a plurality of underground water sampling holes are formed in the front lower part of the sand tank; a plurality of pressure measuring holes connected with a pressure measuring pipe or inserted into a soil moisture tensiometer are formed behind the sand tank; water of the water supply system enters the water inlet well and then permeates into the sand tank filler, water in the filler permeates into the water outlet well, and water of the water outlet well is discharged from the drainage system. Compared with a field test, the material and time cost is reduced.

The invention discloses a reservoir dam flood discharge affected river reach safety early warning system and an early warning method thereof, and belongs to the technical field of dam flood discharge safety early warning of water conservancy and hydropower engineering. The system comprises an early-warning river reach and a plurality of unmanned aerial vehicle monitoring stations, a plurality of fixed targets are arranged on bank slopes on the two sides of the early-warning river reach, the fixed targets on the bank slopes on the two sides of the early-warning river reach are alternately arranged in a staggered mode, the unmanned aerial vehicle monitoring stations are arranged on the bank slopes of the early-warning river reach, and the unmanned aerial vehicle monitoring stations are provided with unmanned aerial vehicles. A high-definition camera, an RTK measuring instrument, a wireless transceiver module and a controller are carried on the unmanned aerial vehicle. The unmanned aerial vehicle can quickly capture a fixed target, and can quickly and accurately position a dangerous case position in combination with a high-precision RTK measuring instrument carried on the unmanned aerial vehicle, so that the position of a person involved in danger can be confirmed in time when the dangerous case occurs, the response timeliness of emergency rescue measures is improved, effective rescue measures are adopted in a targeted manner, and the emergency rescue efficiency is improved. And the risk of personnel casualties is reduced.

The invention discloses a pre-hospital registration method for intelligent management planning, and relates to the field of hospitalization management, and the method comprises the following steps: 1, obtaining the access authority of a hospital electronic health recording system, and reading the basic personal information and past medical history of a target patient; 2, recording current personal symptoms and personal signs of the target patient in real time, and obtaining a treatment scheme made by a current doctor for the target patient; 3, constructing an analysis model through a deep learning algorithm, obtaining historical medical record data through a hospital electronic health recording system, and extracting tag features of personal information, medical history, symptoms, signs, treatment schemes, hospitalization time and treatment effects of a plurality of patients; through multi-dimensional analysis of basic information, medical history, symptoms and treatment schemes of a patient, the analysis model can generate a more accurate illness condition severity coefficient, and through combination of the illness condition severity coefficient and real-time information of a nursing bed, an appropriate bed and a nursing level are automatically matched.

The application provides a kind of operation and maintenance scene visualization report generation method and system based on natural language question and answer, belongs to intelligent operation and maintenance technical field, method includes: receiving the natural language query input by user;Through the pre-training of large language model and the preset operation and maintenance terminology dictionary, the natural language query is parsed and entity is extracted, and the entity-field association table containing demand type is generated;According to demand type and semantic feature, the query type is judged to be data query or visual query;Based on the judgment result, generate structured query language sentence or visual instruction;Query is executed to the interface business database to obtain raw data;Raw data is processed and analyzed to obtain analysis result data;Call data feature adaptation algorithm to match chart type, generate and output visual report.The application realizes the full-link automation from natural language input to visual report output, reduces the operation and maintenance data interaction threshold, improves the operation and maintenance data processing efficiency and accuracy.

This utility model relates to the field of manifold technology and discloses a gas manifold with gas leak detection function. The novel solution includes a gas manifold, with a mounting cover fitted around the gas delivery pipe. An externally threaded connecting ring is integrally formed at the bottom of the mounting cover, and a sealing sleeve is screwed onto the outside of the externally threaded connecting ring. A magnetic ring is embedded at the bottom of the sealing sleeve. This utility model, by setting the mounting cover and sealing sleeve at the connection between the gas delivery pipe joint of the gas manifold and the mouth of the gas storage cylinder, completely covers the joint where it meets the mouth of the gas storage cylinder, forming a closed detection space. This confines the leaked gas to a small area. Combined with a concentration detection sensor on the mounting cover, it enables rapid detection and source location of leaks. Simultaneously, an independent audible and visual alarm is installed on the outside of the mounting cover to ensure that operators are alerted immediately to pinpoint the fault when a leak occurs.

The invention relates to a signal control circuit based on a transverse tandem photoelectric detection unit structure and a control method, and belongs to the field of photoelectric detection and control. The circuit comprises a transverse tandem detection unit structure and a post-stage signal processing circuit, wherein the post-stage signal processing circuit comprises a plurality of resistor units, a bipolar transistor and an MOS (Metal Oxide Semiconductor) tube; according to the method, an optical signal is converted into an electric signal through a transverse tandem type detection unit structure, and charge release and voltage signal output processing are carried out through a post-stage signal processing circuit. When light enters the transverse tandem type detection unit structure, the output tube is switched on; when no photo-generated current exists, the output tube is switched off; and the output tube can output a voltage control signal meeting the amplitude requirement when being switched on or switched off so as to control the working state of a rear-end circuit. By combining the photoelectric detection unit and the signal processing circuit, monolithic integration and process fusion of the silicon-on-insulator process are realized, the parasitic effect between elements can be effectively reduced, and the interconnection scheme of discrete devices is upgraded.

The invention discloses a carbon fiber crushing device and a crushing method, belonging to the technical field of carbon fiber crushing devices, wherein the carbon fiber crushing device comprises a crushing box and two crushing rollers rotatably installed in the crushing box, material boxes are welded at both sides of the crushing box, two slide plates are slidably arranged in the material box, a plurality of pressure plates are arranged between the two slide plates, and a V-shaped arrangement is formed between two adjacent pressure plates; the carbon fiber braid can be compressed by cooperating with the cover plate through the arranged compression component and the cover plate, and the adjacent pressure plates can be separated in the process of the slide plate moving out of the crushing box, so that the carbon fiber braid can fall to the crushing roller, and the carbon fiber braid is compressed into a triangular prism shape, which is conducive to being quickly captured by the two crushing rollers. In addition, when the slide plate is between the cover plate and the material box, dust overflow during the crushing process can be prevented.

This invention belongs to the field of SERS detection technology, specifically relating to an Ag-Cu 0.5 Zn 0.5 Application of Fe2O4 composite SERS substrate in the detection of methylene blue in wastewater. First, Cu was prepared using a calcination method. 0.5 Zn 0.5 Fe2O4 nanomaterials, and then Ag NPs are grown on Cu 0.5 Zn 0.5 Ag-Cu was prepared on Fe2O4 support surface. 0.5 Zn 0.5 Fe2O4 composite SERS substrate was loaded onto a glass slide. This substrate integrates the LSPR effect of Ag NPs and Cu. 0.5 Zn 0.5 The cation rearrangement and lattice distortion effects introduced by Fe2O4 optimize the separation and migration behavior of photogenerated charges. The abundant defect states and tunable electronic structure brought about by Cu / Zn synergistic regulation are conducive to constructing efficient interfacial charge transfer channels, thereby enhancing the Raman signal and enabling the detection of trace amounts of methylene blue in wastewater.

The application relates to the technical field of relay protection, and discloses a method for segmentally displaying relay control circuit faults, which comprises the following steps: taking the fault propagation logic in a relay control circuit knowledge base as a framework, taking a fault entity as a node, and taking a propagation relationship as an edge to construct a fault knowledge graph; based on abnormal features in the relay control circuit, bidirectional graph reasoning is performed on the fault knowledge graph to obtain potential subsequent symptoms and potential root causes; the potential subsequent symptoms and the potential root causes are subjected to causal path synthesis to obtain a complete causal chain; based on the complete causal chain, link priority of the relay control circuit is evaluated to obtain a main causal chain; based on the main causal chain, the relay control circuit is subjected to logical paragraph division to obtain a segmented logical structure; the segmented logical structure is subjected to visual interactive design to obtain segmented display data and triggerable detailed diagnostic information; and the application can improve the fault troubleshooting efficiency.

The invention discloses valve assembly detection equipment, and relates to the technical field of valve detection. The device comprises a detection box, a box cover is fixed to the top of the detection box, a helium storage tank is fixed to the upper surface of the box cover, a gas conveying pipe is fixed to one side of the helium storage tank, and a sucking pump is fixed to one end of the gas conveying pipe; an air pressure detector is fixed on one side of the sucking pump through a connecting pipe; an air inlet pipe is fixed at one end of the air pressure detector; a support is fixed in the detection box, a first motor is fixed at one end of the support, and a threaded rod is fixed on an output shaft of the first motor; a first bearing is fixed to the bottom of the inner wall of the detection box, and a connecting rod is fixed to the inner ring of the first bearing. Through cooperative movement of the threaded rod and the driven rod, the placement shell drives the helium detector in the placement shell to reciprocate up and down in the detection box, if the surface of the detected valve body has cracks or is poor in airtightness, helium in the valve body overflows, the helium detector gives out a prompt, and a worker can judge that the valve body has flaws.

The aspirator for the single-hole thoracoscopic surgery comprises an aspiration head and a catheter, the aspiration head comprises a first aspiration portion and a second aspiration portion which are sequentially communicated in the aspiration direction, the inner diameter of the first aspiration portion is gradually increased in the aspiration direction, and the first aspiration portion is formed by jointly enclosing a closed face and a hole opening face. Three suction holes are formed in the perforated surface, and are arranged at intervals in the circumferential direction of the perforated surface; the inner diameter of the second suction part is gradually reduced in the suction direction, and the second suction part is communicated with the negative pressure device through a catheter. According to the utility model, the layout of the suction head is optimized, the first suction part is enclosed by the closed surface and the perforated surface, and the perforated surface is provided with the suction holes which are simple in number and reasonable in layout, so that an enough suction area is ensured, unnecessary air leakage channels are reduced, and the air leakage risk is reduced.

The invention discloses a wallboard mounting structure for decoration engineering, which is characterized in that a sliding groove is formed in a keel and a slidable sliding block is configured, so that a fastener connected with the sliding block can perform stepless sliding and accurate positioning along the length direction of the keel, and the continuous adjustment of a wallboard mounting point position in the horizontal direction is realized; and repeated drilling operation caused by measurement errors in a traditional mode is thoroughly avoided. The clamping part is matched with the outer edge of the keel through the clamping part to achieve rapid buckling and stable locking, and reliable constraint in the vertical direction and the horizontal direction is formed by combining bolt connection of the sliding block screw hole and the through groove of the clamping part. More importantly, on the basis of a modular matching part designed on the basis of a unified basic part, special buckles suitable for various complex scenes such as common closing-up, internal and external corner treatment and ceiling installation can be derived, and wide compatibility of a single set of installation system to various plates and joints of a whole house is achieved.

The invention discloses a quick release type natural gas detection early warning device with a protection structure, which comprises a mounting seat and a fixed seat, the top end of the mounting seat is connected with the fixed seat, the two sides of the fixed seat are respectively connected with a right fixed arm and a left fixed arm which are used for clamping a natural gas pipe, and the top end of the mounting seat is movably connected with a protection shell. According to the quick release type natural gas detection early warning device with the protection structure, a driving motor is used for driving a power shaft to rotate, a power transmission assembly is matched to enable a power gear and a rotating shaft to synchronously rotate, then the rotating shaft is turned over towards the inner side, and in the process, the rotating shaft drives the power gear to rotate; and under the mutual meshing action of a power gear, a power transmission gear, an auxiliary gear and a subordinate gear, the overturning shaft can synchronously rotate, and then the overturning shaft is overturned towards the inner side till the two sets of fixing clamping blocks surround the natural gas pipeline.

The utility model relates to the technical field of bait cages, and discloses a bait cage for fishing, which comprises a bait platform, the bait platform is connected with an annular mesh enclosure, connecting channels are arranged between the bait platform and the interior of the mesh enclosure at equal intervals and communicated with the bait platform and the interior of the mesh enclosure, a limiting ring is arranged in the bait platform, and a plurality of groups of trapping assemblies are rotatably connected to the limiting ring. A detachable top cover plate and a limiting assembly for detachably fixing the top cover plate are arranged at the top of the mesh enclosure, and the outer side of the bait table is connected with a connecting line assembly; in the utility model, the bait cage adopts the design of the trapping assembly, so that the fishing process is more efficient. Once the fish is attracted by the bait and occludes with the fishhook, the sliding block automatically rotates to roll the fish into the mesh enclosure, and when the fish is attracted by the bait and occludes with the fishhook, the sliding block automatically rotates to roll the fish into the mesh enclosure. By means of the design, the capturing process can be faster and more effective, and the capturing success rate is increased.

This utility model discloses an elevator call device based on Time-of-Flight (ToF) technology, belonging to the field of elevator control equipment technology. It includes a housing with a sensor window extending through its front end and a projection window extending through its front end near the upper edge. This utility model, through the cooperation of a projection display module and a ToF sensor module, fundamentally eliminates direct contact between the user and the device surface using non-contact ToF technology. Compared to traditional contact-based elevator call devices, it effectively reduces the transmission routes of bacteria and viruses, significantly lowering the risk of cross-infection between patients. In places with high population mobility, it provides users with a safer and healthier elevator environment, meeting the growing demand for public health and safety.

The application relates to the technical field of data analysis and intelligent marketing, and particularly discloses a market trend prediction and precision marketing system based on deep learning. The system comprises a data interface module, an interlocking collaborative analysis engine and a strategy generation module. The interlocking collaborative analysis engine sequentially performs market trend prediction and user behavior analysis, and through a two-way coupling feedback step, converts the market prediction result into an adjustment signal for a user interest model, and feeds the emerging pattern identified in the user behavior to the market prediction model as a correction input; and then updates the two models based on the coupled new data, to realize collaborative evolution. The strategy generation module generates marketing instructions under resource constraints according to the collaborative analysis result. The application realizes the deep integration and co-evolution of market trends and user preferences by forcibly establishing and continuously optimizing a two-way interaction channel between macro prediction and micro analysis, so that the foresight, precision and self-adaptive ability of the marketing strategy are improved.

The utility model discloses an AI magnifier, which comprises a shell, a lens and a control circuit board, and the control circuit board is provided with an AI processing chip and an identification processing chip. The shell is further provided with a camera assembly, a loudspeaker assembly and a lamplight assembly. And the shell is provided with a detachable connecting structure. According to the utility model, the detachable connection structure is arranged, so that the first shell and the second shell can be quickly buckled and disassembled, the maintenance or replacement of internal elements can be completed without tools, the maintainability of the equipment is obviously improved, and the use cost and the maintenance time are reduced. By arranging the AI processing chip and the recognition processing chip, image recognition, voice interaction and intelligent answering are supported, a user can input a voice instruction through the receiving module, and integrated intelligent operation of observation, recognition and answering is achieved in combination with image information collected by the camera.

The utility model provides a kind of pressure sensor for automobile. Including trachea and pressure sensor body, the connecting seat is connected on the trachea, the threaded barrel is threadedly connected in the connecting seat, the ring plate is installed on the threaded barrel, the guide rod is installed on the ring plate, the sliding block is slidably installed on the guide rod. In the utility model, by adopting the cooperation structure of limiting groove and limiting clamping block, combined with the design of spring-driven stop plate, the quick clamping and separation of pressure sensor body and threaded barrel is realized, replacing traditional threaded screwing connection, greatly improving the disassembly and assembly efficiency, while reducing mechanical wear during disassembly and assembly process, avoiding the problem of thread slipping that is easy to occur after traditional threaded connection is disassembled multiple times, prolonging the service life of components, sealing is realized through the sealing ring above the threaded barrel, replacing the sealing method of raw material belt winding, which simplifies the installation steps and improves the sealing reliability, ensuring the stability of pressure monitoring.

This invention relates to the field of metrology calibration, and more particularly to an adaptive calibration method, apparatus, device, and storage medium for a metrology box. The method includes the following steps: powering on the metrology box normally, performing self-operating noise detection, and constructing a self-operating noise feature set; performing initial calibration and real-time metrological detection on the metrology box based on the self-operating noise feature set, outputting multiple metrological data sequences; performing sequence-by-sequence feature analysis and differential calculation of adjacent time periods based on the multiple metrological data sequences to obtain a feature difference value sequence; synchronously acquiring environmental monitoring parameters of the metrology box; tracing environmental interference sources based on the environmental monitoring parameters and marking interference sources; performing offset calibration based on the interference sources to obtain offset calibration reference parameters; and performing real-time operating condition metrological detection based on the offset calibration reference parameters. This invention achieves accurate and efficient metrology box detection and calibration.

The utility model discloses a movable casting dust removal device, which belongs to the technical field of casting dust removal, and comprises a dust removal cover and a dust removal assembly which are arranged on a casting platform, one end of the dust removal assembly is communicated with the top of the dust removal cover, and the other end of the dust removal assembly is slidably connected to a dust collection pipeline. The side, away from the dust collection pipeline, of the dust removal cover can abut against the pouring platform in a relatively moving mode through a moving assembly, and the side, close to the dust collection pipeline, of the dust removal cover is close to the upper portion of the pouring platform. The dust removal assembly is connected with the dust removal cover and the dust collection pipeline, and the dust removal assembly can generate negative pressure in the dust removal cover to absorb and capture smoke dust generated by product pouring; the two ends of the dust removal cover are in sliding lap joint with the pouring platform and the dust collection pipeline correspondingly, the moving effect of the dust removal cover can be achieved, the structural design of the dust removal cover is simplified to a certain degree, the arrangement mode is simple, sucked smoke can be guided into the dust collection pipeline in time, and smoke overflow is prevented.

The utility model discloses a limiting tool used for circuit board etching operation, which comprises a conveying crawler belt, a rubber pad is fixed at the top of the conveying crawler belt, a fixing block is fixed at the top of the rubber pad, a positioning groove is formed in the center of the top of the fixing block, a positioning block is mounted in the positioning groove, and a limiting groove is formed in the top of the fixing block. According to the limiting tool used for the circuit board etching operation, the two sides of the limiting plate are each provided with a taking groove, the taking grooves are designed to be of a U-shaped structure in an overlook mode, and the two taking grooves are symmetrically distributed about the central axis of the limiting plate; and the middle parts of the two ends of the circuit board placed in the limiting plate can be suspended, so that the circuit board in the limiting plate can be taken out conveniently.

The universal modular mounting interface comprises an underwater butt joint seat, and a robot butt joint head is inserted into a cavity in the right end of the underwater butt joint seat; the underwater butt joint seat comprises a butt joint seat electrifying unit and an automatic reset water retaining unit, and the automatic reset water retaining unit used for preventing a water source from entering is arranged in an inner cavity of the right end of the butt joint seat electrifying unit. The locking mechanism is driven by the air cylinder, the track caulking groove is precisely matched with the main driving insertion rod, rapid and firm clamping with the butt joint seat locking groove can be achieved, and the locking mechanism bears the impact of underwater strong water flow and is not prone to loosening. Meanwhile, a power connection link adopts a time-delay plugging design driven by an electric push rod, and a power connection plug is driven to be in butt joint with the underwater connector only after the cavity is dry and locked, so that electrical sparks and equipment damage possibly caused by electrifying in a state that the cavity is not in place or has water are avoided. The whole action logic is clear, the control precision is high, and the automation and safety of the docking process are guaranteed.

The application discloses a multiphase flow interaction simulation method based on MPM and a phase field model, and comprises the following steps: step S1, storing mass parameters, phase field parameters and momentum parameters of Lagrange particles in an Euler grid; step S2, updating the phase field of the Euler grid according to the chemical potential to control the energy of the whole system; step S3, updating the momentum of the Euler grid according to gravity, elastic force and the surface tension of the updated equivalent phase field form; step S4, after the grid momentum is updated, processing the boundary on the Euler grid by using a slip boundary condition; step S5, after the phase field and the momentum are updated, converting the momentum parameters and the phase field parameters from the Euler grid variables to Lagrange variables; and step S6, updating the state of the Lagrange particles: updating the position and mass state of the Lagrange particles according to the information returned to the Lagrange particles.