13results about How to "Reduce human and material resources input" patented technology

The utility model relates to a prefabricated middle partition wall structure of a tunnel ventilation inclined shaft. The prefabricated middle partition wall structure at least comprises a bottom supporting structure, a steel supporting assembly and a prefabricated modular wallboard. A positioning groove is formed in the top face of the bottom supporting structure, and the bottom of the steel supporting assembly is embedded into the positioning groove and fixed. The prefabricated modular wallboard is formed by splicing a plurality of prefabricated slabs, the adjacent prefabricated slabs are connected through tongue-and-groove structures which are matched in a concave-convex mode, and the tongue-and-groove joints are filled with sealing materials. The steel supporting assemblies are longitudinally arranged at intervals, and the tops of the steel supporting assemblies are fixed to a tunnel lining to form a steel-concrete combined structure for supporting the prefabricated modular wallboard. The steel supporting assembly and the prefabricated modular wall plate form a steel-concrete prefabricated structure, and the stability of the whole structure is enhanced. By adopting the autoclaved aerated concrete precast block material and the concave-convex groove embedded modular structure, the problems that the construction quality is difficult to control, the construction period is long, the on-way resistance of air flow is large and the like in the existing reinforced concrete mid-partition wall are solved.

The application discloses a water surface leaked crude oil salvage ship with adjustable working depth and a salvage method thereof, which comprises a ship body, a crude oil salvage device arranged on the ship body and capable of horizontally sliding and rotating along the ship body, and a floating oil surrounding arm. The crude oil salvage device comprises a load-bearing frame rotatably connected with the ship body, a traction rear roller located at the rear end of the load-bearing frame, a traction front roller located at the front end of the load-bearing frame, a conveying belt wound on the traction front roller and the traction rear roller, a hydrophobic oil-absorbing sponge located on the outer side surface of the conveying belt, a detachable oil-extruding roller located at the front end of the load-bearing frame and used for extruding water in the hydrophobic oil-absorbing sponge, and a fixed oil-extruding roller located at the rear end of the load-bearing frame and used for extruding crude oil in the hydrophobic oil-absorbing sponge. The traction rear roller is driven to rotate, the conveying belt is driven to transmit by the traction front roller, the hydrophobic oil-absorbing sponge adsorbs the crude oil, and the crude oil is transported from front to back. The application improves the crude oil salvage efficiency and effectively recovers the leaked crude oil.

This invention discloses a method and system for designing tunnel smooth blasting charge schemes, relating to the field of tunnel blasting engineering technology. The method includes: collecting and preprocessing basic parameter data required for tunnel smooth blasting design; calculating initial design parameter values ​​for the smooth blasting charge based on smooth blasting design theory and a pre-set parameter calculation model, generating an initial design scheme; inputting the initial design parameter values, cross-sectional geometric parameter data, surrounding rock condition parameter data, explosive parameter data, and historical blasting effect feedback index values ​​into a pre-trained neural network optimization model, outputting optimized smooth blasting charge design parameter values; automatically updating the peripheral hole layout and charge structure in the design scheme based on the optimized design parameter values, generating and outputting the final tunnel smooth blasting charge design scheme. This invention enables intelligent and adaptive design of tunnel smooth blasting charge parameters, improving engineering applicability and molding quality.

The utility model provides a kind of intelligent drainage device of grain depot area, including concrete rainwater inspection well, auxiliary drainage well and early warning monitoring module, concrete rainwater inspection well and auxiliary drainage well between being provided with pressurized water outlet pipe, the inside of auxiliary drainage well is fixedly provided with auxiliary rainwater lifting integrated equipment by anchor bolt, the inside of auxiliary rainwater lifting integrated equipment is provided with pump station module, the inside of concrete rainwater inspection well is provided with drainage pipeline module. Through the intelligent drainage device of grain depot area described in the utility model, multiple working conditions can be self-adaptively adjusted by rainfall, and the drainage mode is automatically switched according to the rainfall size and the end inspection well elevation. The difference between different outflow modes is maximized to improve energy saving and drainage efficiency significantly.

This invention discloses a method for locating stormwater and sewage mixing points and identifying pollution sources in drainage pipe networks based on particle swarm optimization (PSO) algorithm, belonging to the field of drainage pipe network monitoring and diagnosis technology. The method includes: acquiring basic data of the drainage pipe network and constructing a SWMM hydraulic and water quality model; deploying monitoring points to acquire real-time monitoring data; determining the range of pollution source parameters; initializing the particle swarm using the PSO algorithm and updating the model parameters; calling SWMM for simulation calculations; calculating the fitness value based on the objective function and updating the extreme values; checking the termination condition and outputting the optimal solution. This invention achieves multi-condition adaptive identification through the organic combination of the PSO algorithm and the SWMM model, effectively solving the problems of low positioning accuracy and poor computational efficiency in complex pipe networks using traditional methods. It has outstanding advantages such as high positioning accuracy, strong adaptability, and excellent computational efficiency, providing an effective technical means for the treatment of stormwater and sewage mixing in urban drainage pipe networks.

The utility model relates to the technical field of water conservancy projects, and discloses a water conservancy project gate leakproof sealing device which comprises a gate body and protective covers bolted to the two sides of the surface of the gate body, and further comprises transmission plates sliding on the inner walls of the protective covers, mounting grooves are formed in the surfaces of the transmission plates, and transmission mechanisms are arranged in the protective covers; through the cooperation of the transmission plate, the transmission mechanism and the waterproof rubber plate, when gaps exist on the two sides of the gate body, the gaps can be shielded, it can be ensured that the gate body plays a proper role at the critical moment, and therefore the reliability of the water conservancy project is improved, different water flow conditions can be more flexibly coped with, and the water conservancy project safety is improved. And stable operation of a water conservancy project under different working conditions is ensured, under cooperation of the inserting groove, the sliding groove and the limiting mechanism, the waterproof rubber plate can be rapidly replaced, the whole device does not need to be replaced, investment of manpower and material resources is reduced, and therefore the replacement and maintenance cost is reduced, and the safety performance of the gate body can be ensured.

This invention relates to the field of management technology and discloses a method and system for generating management suggestions for long-term, low-maintenance mixed flower borders. The method includes: acquiring plant growth data and community succession data based on the spatial distribution characteristics of the sample plot, plant growth morphology characteristics, and environmental characteristics during the flower border's growth cycle; extracting characteristic data on plant morphology, growth rhythm, and tolerance performance; classifying all plant feature vectors based on a decision tree model; determining distance parameters between different plant combinations based on the K-nearest neighbor algorithm and judging the stability trend and substitution relationship of each plant combination; analyzing the vertical hierarchy, coverage relationship, and color coordination relationship of plants based on the plant combination structure; determining the association results between the community discrimination results and the flower border structure layout based on an association rule algorithm; and determining management suggestions based on the association results and a planning suggestion model. This invention ensures the reliability of mixed flower border management.

This invention discloses a method for calculating the sedimentation gradient of dammed land based on the spatial pattern of terraced fields in a watershed. First, a three-dimensional spatial layout simulation coordinate system for terraced fields within the watershed is constructed. Then, the sedimentation gradient calculation expression for dammed land based on the three-dimensional spatial layout of terraced fields within the watershed is used for calculation. The method can be based on conventional meteorological, hydrological, and watershed characteristic parameters (i.e., average channel width B, water depth h, flow velocity v, and sediment carrying capacity S). * Based on data from various sources, this method simulates, calculates, and predicts the sedimentation gradient changes of dam sites under different rainfall, scale, and operational conditions within a watershed with terraced land distribution. This provides a foundation for other hydraulic sedimentation calculations. The calculation expressions designed using this method have clear physical meanings and are easy to calculate. Verified by measured data, the method demonstrates high accuracy. It can be widely applied to the planning and design of silt-retention dams and the risk analysis and assessment of stormwater and flood safety in the Loess Plateau and other ecological restoration areas worldwide.

The invention belongs to the technical field of sowing, and relates to a nurse type sowing method which comprises the following steps: S1, mixing seeds, nutrient soil, sandy soil, a soil conditioner, a water-retaining agent and water to prepare pellets; s2, the outer surfaces of the pellets are covered with breathable films; s3, the pellets are planted in the land, and the upper surfaces of the pellets are flush with the surface of the land. The invention further relates to a special seeding machine which comprises a rack, and the rack is provided with a seed supply mechanism, a material supply mechanism, a seed pelleting machine, a film covering mechanism, a furrowing blade, a seed falling pipe and the like. The outer surfaces of the seed pellets are covered with the low-strength breathable films, the water retention and breathability requirements are met, the soil covering link is omitted during sowing, the upper surfaces of the pellets are flush with the earth surface, the problems of soil hardening and seedling jacking caused by head cover rainwater are solved from the mechanism, the emergence rate and the emergence uniformity under the conditions of severe saline-alkali soil and the like are remarkably increased, and the survival rate of seedlings is increased. And the operation cost of breaking the film to release seedlings and preventing hardening is reduced, and mechanization and standardization of the baby-nurse-type seeding method are realized.

The invention relates to the field of power distribution fault detection, in particular to a control circuit, device and method for solving PT neutral point grounding interference, and the circuit comprises a power module which is used for obtaining a working power supply from a secondary side of a voltage transformer; the control module is connected with the power module and generates a control signal according to whether the power grid is electrified; the execution module is connected with the control module and used for responding to the control signal to execute mechanical actions; a controlled end of the on-off switch is linked with the execution module, a first electrical terminal of the on-off switch is connected with a secondary side neutral point of the voltage transformer, and a second electrical terminal of the on-off switch is connected with a grounding end; the energy storage module supplies power to the control module and the execution module during the power loss period of the power grid; the on-off switch is connected in series between the neutral point of the secondary side of the voltage transformer and the grounding end, is closed when a power grid runs normally so as to ensure that the system can be grounded safely, and is automatically delayed to be disconnected after the power grid is powered off for a long time, so that the interference of PT neutral point grounding on the insulation test of the megohmmeter is effectively eliminated.

The utility model relates to the field of slope protection, in particular to a road slope protection structure which comprises a base layer, a slope body and a drainage channel, the base layer comprises a reinforced soil layer, a gravel layer, a concrete layer and a cement layer which are sequentially arranged from bottom to top, the slope body is arranged on the upper side of the base layer, and the drainage channel is arranged on the slope bottom side of the slope body. A plurality of water collecting pipes are arranged at the bottoms of the side walls, close to the slope, of the drainage grooves, concrete grids are arranged on the surface of the slope body and comprise a plurality of grid grooves, a plurality of through holes distributed in an array mode are formed in the bottoms in the grid grooves, the through holes are communicated with the water collecting pipes through sewer pipes, and greening layers are arranged in the grid grooves. According to the road slope protection structure, by arranging the sewer pipe, the water collecting pipe and the drainage groove, rainwater collection and utilization are achieved, greening water and soil loss caused by rainwater washing is reduced, and later maintenance of vegetation is facilitated.

The application discloses a kind of shield machine foam screw pump performance detection system and control method thereof, comprising: the detection platform for installing the foam screw pump to be measured, and the speed adjusting part for adjusting the rotating speed of foam screw pump is arranged on the detection platform;Support platform is arranged on the detection platform, and support platform is placed with foam tank, and one end of foam tank is communicated with detection pipeline, and detection pipeline is communicated to the end of mounting bracket away from speed adjusting part, and pressure detection assembly and flow detection assembly are arranged on detection pipeline along pipeline, and flow detection assembly and flow detection assembly are electrically connected with control cabinet;Safety pipeline is arranged on foam tank, and first valve group is arranged on safety pipeline.The application simplifies shield machine foam screw pump maintenance process, changes "disassembly repair" to "test evaluation first, then targeted repair", greatly reduces the manpower and material resources investment when foam screw pump is overhauled, saves a lot of maintenance time, and improves the work efficiency of maintenance.

The present application relates to a kind of based on operating train vibration's non-ballasted track foundation deformation identification method, belong to rail transit field.It includes the following steps: collecting train body vibration acceleration, obtains non-ballasted track foundation deformation data;With train body vibration acceleration, the running speed of train and operating mileage are obtained;Establish parameter equation with time as parameter variable, by data synchronization and mileage domain resampling, train body vibration acceleration sequence and non-ballasted track foundation deformation data sequence are obtained;Divide mileage domain, two sequences are aligned, and constitute data analysis unit;Extract the time domain characteristic parameter of two sequences;Correlate time domain characteristic parameter, and filter out optimal characteristic parameter set;Optimal characteristic parameter set is used to construct machine learning data set, and training is carried out using CNN-Transformer hybrid deep learning model, and non-ballasted track foundation deformation section identification is realized.The present application can improve the detection efficiency of non-ballasted track foundation deformation identification.