Abstract: The present invention has disclosed a movable water-permeable pile spur dike and an operation method thereof. The pile spur dike includes a fixed rail, a plurality of movable rails, a plurality of movable water-permeable piles, pressure sensors, flow meters and a control platform, wherein the plurality of movable water-permeable piles are arranged on the fixed rail and the plurality of movable rails, the pressure sensor and the flow meter are arranged at each monitoring point on the outer side wall of each movable water-permeable pile, the control platform is used for analysis and calculation according to the monitoring data from each pressure sensor and each flow meter and adjusts the positions of each movable rail and each movable water-permeable pile, so that the water flow velocity and spur dike's pressure at each monitoring point are less than a corresponding flow velocity threshold value and pressure threshold value.

Abstract: The invention discloses a biological water-quality detection method using said obstructive multi-module biological water-quality detection device. This device includes an obstruction index-selecting device and a water-quality testing device, wherein the obstruction index-selecting device is used to select a qualified or valid stepped obstruction level combination, the water-quality testing device detects the water-quality of the water body to be tested depending on the behavior at each obstruction in the valid obstruction level combination after injecting indicator organisms into the water body to be tested. The relationship between the degree of water pollution and the distribution area of indicator organisms is established and the distribution area of indicator organisms is counted in this method based on the difference between the behaviors of indicator organisms in the clean water body and the polluted water body count, so as to determine the degree of water pollution.

Abstract: Provided are antenna arrays based on three-dimensional special-shaped wave-absorbing structures by the disclosure, and includes an antenna array fixing plate and a plurality of antenna array units, where the antenna array units are sequentially fixed on the antenna array fixing plate; each of the plurality of antenna array units includes an antenna transmitting channel, two antenna receiving channels and a pair of three-dimensional special-shaped wave-absorbing structures; the antenna transmitting channel is used for transmitting antenna signals; the antenna receiving channels are used for receiving the antenna signals; and the three-dimensional special-shaped wave-absorbing structures are used for isolating antenna signals of antenna transmitting channels of other antenna array units.

Abstract: A depth-stage dependent and hyperparameter-adaptive lightweight CNN-based model, named Faster R-Stair, which relates to the field of concrete crack detection technology. The structure of the backbone in this model is depth-stage dependent, which includes suitable structures in different depths. The backbone is also hyperparameter-adaptive. The basic components in different depths of the backbone have variations according to the adjustment of some hyperparameters. The proposed model in this embodiment has the advantages of high convergence speed in training, fast detection speed and high accuracy when used in crack detection.

Abstract: A three-stage modularized convolutional neural network (CNN) called Stairnet is disclosed for efficient classification of concrete cracks in images. Unlike traditional CNNs which exhibit similar structural characteristics in each layer, Stairnet is composed of three distinct parts: stair1, stair2, and stair3, each possessing its own unique structural characteristics. Stair1 exclusively consists of convolution layers, while stair2 incorporates a greater number of layers. Stair3, on the other hand, utilizes larger expansion factors and kernel size. Stair1 and stair2 exhibit various variations that result in their modification alongside certain parameters of Stairnet. In contrast to traditional CNNs utilized for the classification of thousands of classes, Stairnet stands out with its smaller model size, faster training speed, and high accuracy in classifying concrete cracks.

Abstract: A water environment temperature measurement tool includes measurement boxes and a counterweight box; a plurality of groups of the measurement boxes are provided; the counterweight box is movably connected with a group of measurement boxes; and each measurement box is provided with a temperature measurement instrument inside. The water environment temperature measurement tool further comprises: control mechanisms, each comprising a water inlet pipe, a water retaining member, an elastic member, a control assembly, a rotating seat, a rotating shaft, a second screw rod, a control seat and a rotary assembly. In the water environment temperature measurement tool of the present invention, the control mechanisms can achieve extraction and temperature measurement of water at different water body depths by cooperating with the measurement boxes and the temperature measurement instruments.

Abstract: An anti-cavitation damping composite metal structure for a flow passage component and a preparation method thereof are provided. The preparation method includes: cladding a gradient functional material layer by layer on a substrate of a flow passage component; forming periodic structures on a surface of each layer of the gradient functional material through etching by an ultrafast laser to absorb a part of an impact load energy caused by cavitation of the flow passage component, where the layers of the gradient functional material form a gradient coating with a toughness increasing layer by layer and a hardness decreasing layer by layer from bottom to top; and forming nano twins on a surface layer by a laser shock peening technique, and implanting a residual compressive stress to further improve anti-cavitation resistance of a surface.

Abstract: An intelligent method for efficiently classifying concrete cracks from large amounts of image data is proposed, named inverted residual (IR) 7-Efficient Channel Attention and Convolutional Block Attention Module (EC) network. The IR7-EC network consists of a convolutional layer, seven inverted residual-ECA structures, a CBAM attention mechanism, a pooling layer, and multiple fully connected layers that are sequentially connected. The inverted residual-ECA structure consists of two components: a depthwise separable convolution-based inverted residual structure and an ECA attention mechanism. The new inverted residual structure facilitates the feature extraction of concrete cracks. Compared to conventional network structures like VGG and Resnet, the proposed IR7-EC network excels in both accuracy and efficiency. Once the IR7-EC network is fully trained, it can accurately classify various types of concrete cracks in captured images.

Abstract: Water conservancy construction sewage treatment mechanism, including a support mounting cylinder, where a variable-diameter sedimentation cylinder is arranged at one end of the support mounting cylinder, one half of the cylinder wall of the support mounting cylinder is a thin wall and the other half is a thick wall, and the thin wall and the thick wall are disposed oppositely. The water conservancy construction sewage treatment mechanism also includes: a variable-diameter diversion cylinder, which is arranged on the thin wall at the other end of the support mounting cylinder; several displacement diversion modules, which are arranged on the thick wall of the support mounting cylinder and include guide displacement structures and combined diversion structures; and a magnetic attraction displacement adjusting structure, which is arranged on the outer side of the thick wall of the support mounting cylinder and is matched with the guide displacement structures and the combined diversion structures.

Abstract: A method for extracting a dam emergency event based on a dual attention mechanism is provided. The method includes: performing data preprocessing, building a dependency graph, building a dual attention network, and filling a document-level argument. The performing data preprocessing includes labeling a dam emergency corpus and encoding sentences. Building a dependency graph includes assisting a model to mine a syntactic relation based on a dependency. Building a dual attention network includes weighing and fusing an attention network based on a graph transformer network (GTN) and capturing key semantic information in the sentence. Filling a document-level argument includes filling a document-level argument by detecting a key sentence and ordering a semantic similarity. The method introduces a dependency and overcomes the long-range dependency problem based on the dual attention mechanism, thus achieving high identification accuracy and reducing a lot of labor costs.

Abstract: An evaluation method for corrosion damage evolution of underwater concrete structures includes performing the time reversal test on the concrete beam specimen placed in the water, performing the uniaxial compression test on the concrete cube specimens; immersing the concrete beam specimen and the concrete cube specimens in a hydrochloric acid solution, and performing the time reversal test on the concrete beam specimen on the 10th, 20th and 30th days respectively. At the same time, a concrete cube specimen is taken out to perform the uniaxial compression test on the 10th, 20th and 30th days respectively; and using the above calculation results to evaluate the corrosion evolution process thereof without damaging the underwater concrete structure.

Abstract: The present invention belongs to the technical field of rock and soil reinforcement, and specifically relates to a plant urease-containing soil solidification agent and a zero-waste production process thereof. A crudely-purified plant urease solution includes a large amount of irrelevant proteins, which seriously affects the treatment effect of the soil solidification agent, makes it impossible to achieve an expected construction purpose, and also causes serious waste and environmental pollution. In the present invention, a common plant urease extraction method on the market is optimized to significantly reduce a protein concentration in a plant urease solution, greatly improve the infiltration performance of a plant urease-containing soil solidification agent, and broaden an application range of such a soil solidification agent.

Abstract: A boundary adaptive structural fatigue damage detection method driven by time-domain information entropy comprises a sensor sequence composed of several sensors arranged on the structure, which is used to apply excitation to the structure, collect the displacement time-history response curves at different positions on the structure, and establish a database of time-history data. According to the data set in the database, the information entropy of the time-history response at different positions on the acquisition structure is obtained based on the information entropy to measure the disorder degree of the time-domain response signal. According to the location of several sensors, the information entropy values of the time-history response are connected in turn to obtain the time-history information entropy curve of the whole structure. Analyze of time-history information entropy curve, and the information entropy curve will show jump phenomena to determine the location of the crack.

Abstract: A damage identification method for a cantilever beam based on a multifractal spectrum of a multi-scale reconstructed attractor includes: acquiring an original acceleration signal of the cantilever beam by a dynamic measurement system, performing stationary wavelet decomposition on a pretreated acceleration signal to obtain multi-scale sub-signals, selecting the multi-scale sub-signal that can represent main vibration characteristics of the cantilever beam for phase space reconstruction and normalization to obtain a normalized multi-scale reconstructed attractor, constructing the multifractal spectrum of the multi-scale reconstructed attractor, establishing a damage index based on a singularity index of the multifractal spectrum, and identifying and locating damage of the cantilever beam according to a relative numerical value of the damage index.

Abstract: A cable tension calculation method simultaneously considering the sag, inclination angle and bending stiffness includes: querying basic parameters of a stay cable according to design data and construction data; considering influences of the sag, the inclination angle ? and the bending stiffness EI, to calculate dimensionless parameters ?, ? and ?2; testing an acceleration response of the stay cable by an acceleration sensor, to identify a frequency ? of the acceleration response of the stay cable, further calculating a dimensionless frequency {circumflex over (?)} of the stay cable and the dimensionless parameters ?, ? and ?2, and substituting the dimensionless frequency {circumflex over (?)} of the stay cable into a vibration characteristic equation, to establish a function relation between the dimensionless frequency {circumflex over (?)} and a cable tension H* of the stay cable; and solving a root of the vibration characteristic equation, and identifying the cable tension H* of the stay cable according to

Abstract: A structural dynamic parameter identification method aided by a rPCK surrogate model comprises the following steps. Establish a finite element model that roughly reflects the structural system to be analyzed. Establish the dynamic parameter space sample set. The structural system response space sample set driven by the dynamic parameter space sample set is established by using the probabilistic finite element analysis. The robust polynomial Chaos Kriging surrogate model is obtained by mapping the dynamic parameter space sample set to the structural system response space sample set. The measured structural system response is used to drive the rPCK surrogate model, and then Bayesian inference is used to identify the structural dynamic parameters. The mean value of Bayesian posterior estimation is used as the estimated value of structural dynamic parameters. The proposed method creates conditions for establishing a high-fidelity finite element model of the actual engineering structural system.

Abstract: Disclosed is a maximum communication delay measurement method for safe braking of a smart connected vehicle; the measurement method is: first performing parameter initialization, the parameters for initialization comprising vehicle braking parameters, kinematic/kinetic parameters, and communication parameters; then generating a braking force function of the vehicle, taking the minimum distance between vehicles as the objective, and solving for the maximum allowable communication delay between vehicles on the basis of the proposed evaluation method.

Abstract: A method of a power user classification based on distributed K-means, a storage medium and a classification device are provided. The method includes: obtaining, by N load aggregators, power consumption data of power users managed by respective load aggregators; performing, by each load aggregator, a normalization operation on time series load data of the power users managed by the load aggregator; forming a N×N dimensional adjacency matrix A; performing K-means clustering on normalized time series load data, to obtain the respective centroids and user groups characterized by the respective centroids; sharing, by the respective load aggregators, the centroids and the number of users under the respective centroids based on the adjacency matrix A, and obtaining consistent centroids by multiple load aggregators; after an overall iteration ends, obtaining, by the respective load aggregators, the consistent centroids consistent with the K-means centroid based on global data, to realize user classification.

Abstract: A method for optimizing a reservoir operation for multiple objectives based on a GCN and a NSGA-II algorithm. The method includes collecting relevant data for reservoir flood-control operation and establishing a multi-objective optimization model for the flood control. An initial population is obtained. Grouping individuals by an encoding operation and the grouped classifications are nodes of the GCN, and mapping parent-child relationships obtained by crossover and mutation operations as edges between the nodes in the GCN. A preliminary Pareto frontier is obtained, abscissas of the preliminary Pareto frontier are grouped and labeled, and a GCN model is trained by using the grouping labels and the graphic structure obtained in Step 2. The nodes in the graphic structure are classified by using the trained GCN model, and a uniformity of the Pareto frontier is adjusted. A set of non-inferior schemes of the multi-objective optimization problem for the reservoir operation is output.

Abstract: A convex type guide plate waterwheel energy increasing device with gradually dense holes is provided. The convex type guide plate waterwheel energy increasing device comprises fixed devices, a main diversion plate and auxiliary diversion plates, wherein an upwards convex arc structure is arranged on the top surface of the main diversion plate, gradually dense first through holes are formed in the main diversion plate from the middle to the two ends, the diameters of the first through holes are gradually increased, the auxiliary diversion plates are connected to the two sides of the main diversion plate, second through holes are formed in the auxiliary diversion plates, fixed devices are fixed to the two sides of the auxiliary diversion plates, and the fixed devices are used for fixing the main diversion plate and the auxiliary diversion plates to the riverbed.