184results about How to "Guarantee efficiency" patented technology

The invention provides an integrated logistics management system for cargo transportation. The integrated logistics management system comprises a multi-mode collaborative perception module, a semantic reasoning module, a scene adaptation decision module, an intelligent execution module and a logistics trust chain module. The multi-mode collaborative sensing module collects logistics full-scene state data through a sensor network; the semantic reasoning module is used for constructing a knowledge graph based on a graph attention network and realizing unified modeling of multi-source information; the scene adaptation decision module is combined with a pulse coupled neural network (PCNN) and a swarm intelligence collaboration mechanism to complete routing optimization; the intelligent execution module adopts a hierarchical task management and dynamic adjustment mechanism, and adjusts a task scheme according to execution abnormity and credit evaluation; the logistics trust chain module constructs a logistics trust system through a hierarchical consensus mechanism, a credit scoring model and a trust propagation and early warning mechanism, and realizes risk prevention and control of the whole process. The system solves the technical problems of a traditional logistics system in the aspects of data integration, dynamic supervision, decision support, collaborative scheduling, safety traceability and the like.

The invention relates to the field of low-altitude economy, in particular to a server communication optimization method and system based on low-altitude economy. The method comprises the following steps: monitoring an unmanned aerial vehicle communication relay node in a low-altitude field; carrying out node space position positioning calculation on the unmanned aerial vehicle communication relay nodes one by one, carrying out distributed relay topology fitting, and constructing a low-altitude relay communication network; collecting low-altitude real-time interaction information based on a low-altitude relay communication network; performing communication link bandwidth calculation on the low-altitude real-time interaction information, performing dynamic communication protocol modulation, and constructing a dynamic low-altitude adaptive communication protocol; identifying real-time communication state parameters of the relay nodes based on the low-altitude relay communication network; performing inter-node communication channel identification on the real-time communication state parameters of the relay nodes, performing optimal channel scheduling decision, and constructing an optimal channel scheduling strategy; current user communication data of the ground server is monitored. According to the invention, low-delay and high-efficiency server communication optimization is realized.

The invention provides a ship remote real-time early warning system based on cloud computing, and relates to the technical field of data processing, and the system comprises a data collection module which is used for collecting ship operation data, environment state data and external interaction data; the data preprocessing module is used for generating standard processing data; the data grouping module is used for dividing a priority data group and a common data group; the data transmission module is used for transmitting the data to the cloud analysis module; the cloud analysis module is used for carrying out multi-source data aggregation processing on the priority data set and the common data set, carrying out real-time evaluation on the ship operation state, identifying abnormal behaviors and predicting emergencies, and generating corresponding final early warning instructions including an avoidance operation instruction and an air route adjustment suggestion; the early warning feedback module is used for sending the early warning instruction to the ship terminal; the local response module is used for executing instant triggering operation on the instruction classification data; according to the invention, autonomy and accuracy of remote real-time early warning of the ship are improved.

The invention provides a multifunctional electric energy metering box, and relates to the technical field of electric energy metering boxes, the multifunctional electric energy metering box comprises an electric energy metering box, communication grooves are formed in two side walls of the electric energy metering box, first inner grooves are formed in the two communication grooves, and first heat dissipation openings and second heat dissipation openings are formed in two side walls of the electric energy metering box; the two second heat dissipation openings are located below the two first heat dissipation openings, an electric energy metering box door is hinged to the electric energy metering box, an observation window and a control panel are arranged on the electric energy metering box door, a containing groove is formed in the side wall of the electric energy metering box, a protective cover is fixedly installed on the side wall of the electric energy metering box, and the protective cover is located over the containing groove. The top of the inner wall of the electric energy metering box is fixedly provided with a fixed box body. The self-adaptive mechanism of the equipment reduces faults caused by overheating or moisture, reduces the maintenance cost, protects electrical elements, ensures the stable operation of the whole system, and improves the reliability and stability of the equipment.

The invention belongs to the field of medical information systems, and provides a medical institution full-process doctor-seeing path planning method and system based on artificial intelligence, and the method comprises the steps: modeling each doctor-seeing link in a medical institution into a directed graph; the node features and the edge weights of the directed graph serve as input, the node features are updated through a graph neural network, and the weight of each node is dynamically generated; a queuing theory model is adopted for modeling according to the queuing condition of each node, and the average waiting time of each node is calculated; designing a multi-objective optimization function, and taking balance of the shortest path and the minimum waiting time as an optimization objective to generate an optimal doctor-seeing path scheme; the resource state of each node is dynamically monitored based on a real-time feedback mechanism of the Internet of Things equipment and a hospital information system, and when it is monitored that the resource state or waiting time of the node is changed, the graph neural network and the queuing theory model are recalled to update node features and priority weights.

The invention discloses a mine equipment control system and method, and relates to the technical field of camping mine equipment control, and the method comprises the following steps: during the operation period of a crusher, obtaining various parameter information generated in the crushing process of the crusher in real time, including vibration response characteristics and energy transfer and dissipation characteristics; according to the method, the vibration response characteristics and the energy transfer characteristics of the crusher are obtained in real time, intelligent analysis is carried out in combination with a machine learning model, the system can efficiently recognize abnormal states and dynamically classify the abnormal states into accidental or non-accidental anomalies, and shutdown and false alarms are reduced. For accidental abnormity, the system automatically adjusts parameters to return to normal; and for non-accidental abnormity, the system triggers early warning and carries out maintenance, so that further damage is avoided. According to the method, the service life, the operation efficiency and the automation level of equipment are improved, and the maintenance cost and the sudden failure risk are reduced.

The invention provides a digital twin modeling method, device and equipment and a storage medium, and relates to the technical field of digital twin modeling, and the method comprises the steps: obtaining initial point cloud data; obtaining preprocessed point cloud data; obtaining first point cloud feature information according to the preprocessed point cloud data; carrying out object classification and segmentation processing to obtain second point cloud feature information; generating an interactive twin model; and acquiring real-time state information, and updating the interactive twinborn model according to the real-time state information. Convolutional feature extraction processing based on point cloud data is realized by generating the point cloud image, global and local features of the point cloud can be efficiently extracted, the modeling efficiency and precision are improved, the high modeling precision is beneficial to guaranteeing the precision of an interactive twinborn model to accurately reflect an actual scene, and the method is suitable for large-scale popularization and application. And meanwhile, the high modeling efficiency is beneficial to realizing synchronous change of the interactive twinborn model and an actual scene, the monitoring and interaction real-time performance of digital twinborn is improved, and the monitoring and management requirements of a machine room can be met.

The invention relates to the technical field of data processing and financial science and technology, in particular to an agent resource allocation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the working state information and historical working information of a plurality of agents, generating a weight list of the plurality of seats according to the working state information and the historical working information; obtaining value evaluation information and remaining deadline information of a plurality of allocation objects in a resource pool, and generating an allocation sequence list of the plurality of allocation objects according to the value evaluation information and the remaining deadline information; and matching an allocation object for the seat according to the allocation sequence list and the weight list. According to the method and the device, the order grabbing pool algorithm for allocating the customer lists to the seats is provided, the insurance renewal pool lists are allocated by the algorithm through weight, evaluation and resource allocation, the business transaction rate is improved, the fairness and efficiency of allocation of the lists in the resource pool are guaranteed, and the efficiency and the quality of customer services are improved at the same time.

The invention provides a batch straight pipe outer wall spraying device with a water-based paint recycling function. The batch straight pipe outer wall spraying device comprises a sealed cabin, a spraying mechanism, a drying mechanism, a liquid supply mechanism, a recycling mechanism and a numerical control module. The spraying mechanism and the recycling mechanism are both arranged in the sealed cabin, and the recycling mechanism communicates with the spraying mechanism; the spraying mechanism comprises a spraying rod and a centrifugal roller, a to-be-sprayed pipe fitting is installed in the spraying direction of the spraying rod through pipe fitting fixing assemblies, and the pipe fitting fixing assemblies are distributed on the inner wall of the centrifugal roller in an arc shape; the drying mechanism is used for drying a to-be-sprayed pipe fitting, and the liquid supply mechanism is connected with the spraying mechanism and the recycling mechanism; the numerical control module is in signal connection with each mechanism; by means of the spraying mechanism, the drying mechanism and the recycling mechanism, the spraying, recycling and drying integrated function is achieved, the pipe fittings are subjected to batch high-quality spraying, meanwhile, coating recycling is achieved, the situation that the surrounding environment is polluted due to the fact that the coating escapes is prevented, and the production efficiency is greatly improved.

A method for sharing knowledge base cloud for enterprises based on AI big model relates to the technical field of data sharing. Blockchain technology is used to build an enterprise knowledge base sharing platform, and the enterprise knowledge base sharing platform is communicatively connected with a plurality of user interaction terminals. When the user interaction terminal interacts with enterprise data, a flow prediction model and an intrusion interaction prediction model are constructed, and flow tracking analysis is performed on the user interaction terminal. The adaptive interaction level of the user interaction terminal and the adaptive security level of enterprise data are set according to the analysis results, and the user interaction process is controlled according to the adaptive interaction level and the adaptive security level. The end timestamp of the unit cycle of the user interaction terminal is used as a detection time point, and intrusion security detection is performed on the user interaction terminal at the detection time point. The intrusion interaction prediction model and the flow prediction model are trained in real time according to the intrusion detection result to ensure the efficiency and security of enterprise data knowledge sharing.

The utility model relates to the technical field of water treatment, in particular to a water circulation device for spunlaced non-woven fabric production, which comprises a treatment box, a box cover is rotatably connected to the top of the treatment box, a water guide pipe is fixedly connected to the top of the box cover, and a collecting net basket is erected at the top end in the treatment box. A filtering net basket is erected on the inner side of the collecting net basket, a stirring shaft is installed at the bottom end of the interior of the treatment box, the top end of the stirring shaft is connected with the bottom end of the collecting net basket in an inserted mode through a connecting block, a water pump is fixedly installed at the bottom end of the left side of the treatment box, and the output end of the water pump is connected with the interior of the treatment box; compared with an existing water circulation device for spunlaced non-woven fabric production, the water circulation device for spunlaced non-woven fabric production has the advantages that the treatment effect on water for spunlaced non-woven fabric production can be improved through the design, meanwhile, thread residue impurities in water can be conveniently cleaned, and the water circulation speed and efficiency are guaranteed.

The invention provides an inland ship target detection and identification method based on deep learning, and the method comprises the steps: building a multi-layer shallow information network through an improved YOLOv8 algorithm, adjusting a detection layer, adding a shallow detection head, capturing the features of a small target and the semantic information of the small target more finely, enhancing the target identification capability in a targeted manner, and improving the detection efficiency. The function of conveniently and interactively detecting and identifying the inland ship target is realized. According to the method, an EfficientNetV2 lightweight network optimization strategy is combined, a model network structure is improved, and a more effective loss function is adopted, so that the calculation efficiency and precision are improved, and the model training and reasoning efficiency is guaranteed. A dynamic non-monotonic focusing mechanism is adopted to ensure that the anchor frame is more fit with a real bounding box model, and the overall performance of the detector is improved. According to the method, the problems that the detection effect of the small target is not ideal, the detection anchor frame and the actual boundary are not tightly attached, and the system interaction is insufficient in a complex water surface environment are solved.

The invention relates to a multi-driving-mode interactive cooperation method and system applied to a security patrol car, and the method comprises the steps: M1, executing an automatic driving mode of a first priority when the patrol car works, starting the automatic driving mode according to a process, enabling a vehicle to run according to the automatic driving mode, and remotely driving a controller, uploading the vehicle state data to a patrol vehicle management platform in real time; and M2, when the vehicle runs in the automatic driving mode and the automatic driving operation ODD is exceeded, the automatic driving controller sends early warning information to a CAN network, the remote driving controller uploads the early warning information to a patrol vehicle management platform and a background operator, and when the early warning information is received, the remote driving mode of the remote driving cockpit is started. According to the invention, a single driving mode of the vehicle is expanded into a multi-driving mode, which is more beneficial to the use of an actual operation scene, the operation efficiency is enhanced, and the operation safety is improved.

The invention relates to the technical field of medicine production, discloses a blocky raw material grinding device for triacetyl ganciclovir production, and solves the problems that an existing blocky raw material grinding device for triacetyl ganciclovir production is low in efficiency and high in energy consumption. Directional feeding is achieved through a special structure of a rotating pipe, the feeding accuracy is improved, low efficiency caused by uneven feeding is reduced, the pressure intensity is increased through eccentric rotation of a coarse grinding table and a convex ring, the crushing efficiency is improved, the coarse grinding time is shortened, and the energy consumption is reduced. According to linkage driving of a servo motor, the number of power sources is reduced, the structure is simplified, cost and maintenance difficulty are reduced, powder blanking is promoted through arc-shaped design of a drum plate, smooth material circulation is guaranteed, staying and blocking are reduced, small blocky raw materials are extruded in a linkage mode through an extrusion net, the suitability of fine grinding materials is improved, and the material blocking problem is reduced. The fine grinding quality and efficiency are guaranteed, and the overall energy consumption is reduced.

The invention provides a virtual power plant baseline load measurement and calculation method based on multi-dimensional factors, and the method specifically comprises the steps: screening load prediction correlation factors based on historical demand response information, and determining the correlation degree between each load prediction correlation factor and a load demand; setting a weight coefficient of each load prediction association factor based on the association degree, and constructing a prediction training data set according to the corresponding weight coefficient; an LSTM model is constructed, training is performed through the prediction training data set, model parameters are optimized through a sparrow optimization algorithm, and a baseline load measurement and calculation model is obtained; and calculating the baseline load of the virtual power plant in the target time period according to the baseline load measurement and calculation model. Baseline load prediction can be performed through the LSTM model, and parameter optimization is performed by using a sparrow optimization algorithm in the model training process so as to efficiently and accurately set LSTM network parameters, and at the same time, the measurement and calculation precision and the measurement and calculation efficiency of the baseline load are ensured.

The invention discloses a liquid nitrogen freezing and carbon dioxide blasting combined anti-reflection device and method. The device comprises a freezing pipe and an anti-reflection assembly. The anti-reflection assembly is mounted on the inner side of the freezing pipe; the anti-reflection assembly comprises a flexible air bag, an excitation device and a sealing positioning ring; the sealing positioning ring sleeves the outer side of the flexible air bag, and the flexible air bag is provided with an extension section; an end socket is mounted outside the sealing positioning ring in a sleeving manner, and the sealing positioning ring fixes the extension section on the end socket; the exterior of the end head is fixedly connected with the freezing pipe; the excitation device is arranged in the flexible air bag; and a firing line is mounted on the excitation device. The mechanical property of the coal body is optimized and improved through liquid nitrogen freezing, so that the mechanical strength of the coal body is enhanced, the brittleness is greatly improved, and then CO2 phase change blasting is performed to crack the coal seam; for a low-permeability soft coal seam, hole collapse caused by soft coal in single blasting is avoided, more cracks can be generated in the coal seam after CO2 blasting, the fracturing and permeability increasing effects are greatly improved, and a good promoting effect is achieved on gas extraction.

The invention provides a container collaborative allocation method based on idle container combined transportation, which comprises the following steps of: starting from cargo transportation requirements, constructing a model by considering various factors such as loading container transportation, idle container transportation, container type combined transportation and the like, and introducing a swarm intelligence algorithm to optimize and solve the model. The intelligent output of the container allocation scheme of the middle and old railways is realized, a decision basis is provided for the formulation of container transportation operation and allocation plans, and the method plays an important role in guaranteeing the freight efficiency and earnings of the middle and old railways.

The invention relates to a parameter determination method and device of a low-voltage insulating glove, computer equipment, a readable storage medium and a program product. The method comprises the steps of obtaining operation parameters according to operation behavior parameters and operation environment parameters of a target operation scene; inputting the operation parameters into a trained friction analysis model to obtain friction analysis results corresponding to the hand areas in the target operation scene output by the friction analysis model; according to the friction analysis result of each hand region, glove reinforcing region parameters corresponding to the target operation scene are obtained; counting hand size data of each operator in the target operation scene, and obtaining glove size category parameters according to data distribution of the hand size data; and obtaining a target parameter set of the low-voltage insulating gloves applied to the target operation scene according to the glove reinforcing area parameters and the glove size category parameters. By adopting the method, the parameters of the low-voltage insulating gloves, which are more targeted to the target operation scene, can be obtained.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention discloses a hydropower station production and emergency coordination method and platform based on a communication system, and the method comprises the steps: a power plant duty room receives event information, and an on-duty person immediately calls the hydropower station production and emergency coordination platform; corresponding event important information is clicked or supplemented on the basis of the current template, and disposal prompt information pointing to corresponding event levels of all departments is automatically activated; checking the default notification object of the current event and confirming the accuracy; processing prompt information is automatically sent according to a pointed department; a receiver signs for receiving; the receiver carries out disposal according to the event information or the related regulations of the emergency response level, and the disposal process is fed back to the platform publishing page in real time; and if the event is completely handled, final reporting can be carried out, and a corresponding event flow is closed. The method can replace a current one-to-one telephone notification coordination mode in hydropower station production operation event disposal, greatly improves the event disposal efficiency, reduces human error factors, and improves the event disposal accuracy and the operation management level.

The invention discloses a bridge welding device and a bridge welding method, relates to the technical field of bridge welding, and provides the following scheme that the bridge welding device comprises a machine body and an electromagnet fixedly connected to the bottom of the machine body; the rotary swing adjusting mechanism is installed in the machine body and used for adjusting the welding angle of the equipment, and the rotary swing adjusting mechanism comprises a connecting rod rotationally connected with the interior of the machine body and a worm wheel fixedly connected with one side of the connecting rod; and the moving mechanism is mounted at one end of the connecting rod and is used for automatically moving and welding the welding equipment. According to the automatic arc welding equipment, adjustment treatment of different welding inclined cutting angles can be conducted on the equipment through the rotating and swinging adjusting mechanism, meanwhile, arc welding treatment can be conducted on a bridge through the angle overturning mechanism, meanwhile, linear automatic long-distance arc welding treatment can be conducted, the effect and efficiency of automatic and rapid welding of the bridge are effectively guaranteed, and the welding efficiency is improved. And the risk of manual high-altitude operation is reduced.

The utility model relates to the technical field of foundation pit construction structures, in particular to a large-rigidity foundation pit supporting structure suitable for deep and thick soft soil conditions, which comprises a double-row pile system, a deformation control built-in area and a drainage structure backfilling area. The double-row pile system consists of front-row cast-in-place piles, rear-row cast-in-place piles and double-row pile connecting beams for connecting the front-row cast-in-place piles and the rear-row cast-in-place piles; a water stopping system is arranged in a gap between the outer walls of the front-row cast-in-place piles and the rear-row cast-in-place piles and soft soil, the water stopping system is a high-pressure jet grouting pile, and the deformation control build-in area is arranged on the inner side of the double-row pile system and composed of meshed high-pressure jet grouting piles at steps, enclosure cast-in-place piles and anchor cables. Wherein the enclosure cast-in-place piles and the occlusion high-pressure jet grouting piles are in occlusion connection in the transverse direction and the longitudinal direction. According to the large-rigidity foundation pit supporting structure suitable for the deep and thick soft soil condition, the water stopping system combining the double-row pile system and the high-pressure jet grouting piles is adopted, water and soil loss around the foundation pit is effectively controlled, and the stability in the foundation pit excavation process is ensured.

The utility model provides fork truck battery charging cabinet, through setting open type charging bin in the front side of cabinet body, can fast insert battery into charging bin when charging, convenient operation, set up charger group and control module in the rear side hidden mode of cabinet body, and open the cabinet door at rear side to carry out maintenance operation to charger group and control module, each module layout is reasonable, and charging and maintenance operation are convenient, appearance is simple and elegant, and the practicality is good, solves the technical problem that the existing technology has, charging bin charging operation process is inconvenient, and maintenance operation is inconvenient to the charger and control system, and the rationality of module layout is also relatively lacking.

This application discloses a method and electronic device for detecting transmission parameters of through-silicon vias (TSVs), applied in the field of integrated circuit technology. The method includes: determining whether the total length of the TSV to be tested is greater than a preset first length; if so, dividing the TSV into multiple via segments such that the length of each segment is no greater than the first length; if not, treating the TSV as a TSV composed of single-segment vias; for each via segment, obtaining the pad capacitance, via pillar capacitance, anti-pad capacitance, via inductance, and via resistance of the via segment using preset parameter calculation rules, and constructing an equivalent circuit model of the via segment; cascading the equivalent circuit models of each via segment of the TSV to form an equivalent circuit model of the TSV, and performing transmission parameter detection on the TSV. Applying the scheme of this application can effectively determine the transmission parameters of the TSV, improving efficiency and ensuring the accuracy of the scheme.

The utility model discloses a material nozzle structure of a filling machine, and particularly relates to the field of material nozzles, the material nozzle structure comprises a filling blanking nozzle, a cut-off assembly I is arranged in the filling blanking nozzle, a blanking nozzle cavity is fixedly arranged at the top of the cut-off assembly I, a self-cleaning mechanism is arranged at the top of the blanking nozzle cavity, and the self-cleaning mechanism is arranged at the bottom of the blanking nozzle cavity. A discharging pipe is arranged on one side of the discharging nozzle cavity in a penetrating mode, a second cutting-off assembly is arranged outside the discharging pipe, a check valve is arranged in the discharging pipe, and a feeding port is formed in one end of the discharging pipe in a penetrating mode. According to the utility model, the problem that honey is adhered to the blanking nozzle cavity and the filling blanking nozzle can be effectively solved, residual honey in the blanking nozzle can be automatically removed, blockage caused by drying and crystallization of the honey is prevented, and the pollution problem caused by bacteria breeding due to long-time residual honey in the blanking nozzle cavity and the filling blanking nozzle is prevented; meanwhile, the downtime caused by cleaning is remarkably shortened, the sanitary risk of the downtime caused by cleaning is remarkably reduced, the continuous production efficiency and the sanitary safety of products are guaranteed, and cross contamination is avoided.

The utility model discloses a quantitative blanking structure for a shot blasting machine, and relates to the technical field of shot blasting machines. The shot blasting device comprises a shot blasting device body, a weighing device is arranged on the left side of the shot blasting device body, a support is installed at the bottom of the weighing device body, connecting plates are fixedly connected to the front face and the back face of the shot blasting device body, the shot blasting device further comprises a quantifying part, and the quantifying part is installed above the weighing device body and used for quantitatively adding shots; and the feeding part is mounted at the bottom of the weighing device, and the feeding part is used for conveying the pellets into the shot blasting device. According to the shot blasting device, the quantitative part is arranged, specifically, the pellets are placed in the storage tank, the generated gravity can be pressed on the weighing device through the fixing ring, so that weighing is carried out, the required pellet dosage is determined, the pellet dosage is prevented from being too large or too small by adjusting the dosage, the efficiency and the effect of shot blasting treatment are guaranteed, and the shot blasting efficiency is improved. And the bottom of the storage tank is sealed through the sealing ring, so that the weighing precision can be improved.

The present invention discloses a weighted fusion method for the importance difference of multi-source survey data of power grid, comprising the following steps: firstly, a multi-scale feature extraction module is used to extract feature sequences from pre-processed high-resolution remote sensing images and DEM data respectively, and then the feature sequences are input into a convolutional attention fusion module for fusion; at the same time, TextCNN is used to extract feature sequences from pre-processed geotechnical, hydrological and meteorological data respectively; then the above four feature sequences are respectively mapped to different subspaces, and the respective private and shared feature vectors are learned through encoders, and finally the shared feature vectors are input into a single-mode generation module, and the private and shared feature vectors are input into a cross-modal collaborative attention module, and a multi-modal fusion representation containing the geomorphic information of the surrounding objects of the survey area is generated through a weighted fusion strategy. The present invention fully couples surveying and mapping, geotechnical, hydrological and meteorological data, and can fully and truly present the information around the survey area, thereby ensuring the reliability of power grid line planning.

The utility model relates to the technical field of pipe fitting machining, and discloses a pipe fitting welding device which comprises a bottom plate, bearing blocks are fixedly connected to the two sides of the upper surface of the bottom plate, inner grooves are formed in the bearing blocks, inner frames are rotationally connected to the interiors of the inner grooves, and fixing mechanisms are arranged in the inner frames. The fixing mechanism comprises a connecting frame, a threaded rod, a top block, a sponge block, a fixing rod, a spring and a connecting rod, the upper surface of the connecting frame is fixedly connected with the top of the interior of the inner frame, the outer surface of the threaded rod is in threaded connection with the interior of the connecting frame, and the upper surface of the top block is fixedly connected with the lower end of the threaded rod. According to the pipe fitting welding equipment, two sets of pipe fittings to be welded can be effectively and relatively fixed, later welding is facilitated, meanwhile, the pipe fitting welding equipment can adapt to pipe fittings with different diameters, and when the two sets of pipe fittings are fixed, the pipe fittings can be located on the same straight line by rotating the threaded rods by the same length.

The present application relates to the technical field of solar photovoltaics. Provided are a perovskite cell and a photovoltaic module. The perovskite cell comprises a perovskite light absorption layer, a first carrier transport layer, a second carrier transport layer, a first transparent electrode layer, a second transparent electrode layer, and an optical adjustment layer, wherein the optical adjustment layer is arranged between the second carrier transport layer and the second transparent electrode layer; and the transmittance of the optical adjustment layer for visible light is greater than or equal to a preset transmittance, and the reflectivity of the optical adjustment layer for infrared light is greater than or equal to a preset reflectivity. In the present application, the transmittance of an optical adjustment layer for visible light is greater than or equal to a preset transmittance, such that the efficiency of the perovskite cell and the lighting requirement of a building can be ensured; in addition, when the reflectivity of the optical adjustment layer for infrared light is greater than or equal to a preset reflectivity, the requirements of the building for heat preservation, refrigeration, etc., can be ensured, thereby reducing the energy loss caused by the requirements of the building for heat preservation and refrigeration.

The invention discloses an aviation spray auxiliary agent for improving the rain wash resistance of plant protection fog drops and application of the aviation spray auxiliary agent. The invention provides a composition for plant protection aviation spraying. The composition comprises sodium dodecyl benzene sulfonate and polyethylene glycol monostearate. The invention also provides a plant protection aviation spray auxiliary agent which comprises the composition. The plant protection aviation spray auxiliary agent provided by the invention can significantly improve the rain wash resistance of fog drops on crop leaves during aviation pesticide application, thereby solving the key problems that the window period of pesticide application in rainy seasons in the south is short, and the pesticide liquid is very easy to wash away by rain water due to frequent heavy rainfall.