12 results about "Manganese nodule" patented technology

The invention discloses a deep sea polymetallic nodule mining vehicle which comprises a structural frame. The crawler walking mechanism is arranged at the bottom of the structural frame and used for driving the deep sea polymetallic nodule mining vehicle to move in the preset direction, and the collecting mechanism is arranged on the front portion of the structural frame and used for collecting polymetallic nodules. The conveying and cleaning mechanism is used for directionally conveying the collected polymetallic nodules and separating and desliming the collected polymetallic nodules; the crushing mechanism is used for crushing the conveyed ores; the storage mechanism is arranged at the tail part of the structural frame and is used for storing the crushed ore; the plume restraining mechanism is used for effectively collecting and treating plume generated in the mining process of the deep-sea mining vehicle and impurities carried by manganese nodules; and the environment sensing mechanism is used for sensing the deep sea environment and controlling the crawler walking mechanism and the collecting mechanism. Collection, screening, cleaning and storage are integrated, the mining capacity is improved, and the problem that an existing mining vehicle is low in collection efficiency is solved.

The utility model discloses a gravity type multi-stage ore sand separation device, and relates to the technical field of manganese nodule collection equipment. The multistage ore sand separation device comprises a first separation assembly and a second separation assembly, the first separation assembly and the second separation assembly are each internally provided with a pipeline, a screen and a pusher, the second separation assembly is communicated with the first separation assembly, and one side of the second separation assembly is connected with a discharging pipe. The second separation pipe and the third separation pipe can separate manganese nodules and mud and sand twice under the action of gravity, the manganese nodules can be discharged and stored through the second separation pipe and the third separation pipe, and the second separation pipe and the third separation pipe can generate upward low-speed water flow through the pusher to prevent the mud and sand from entering. The mud and sand can be directly discharged through the first separation pipe, the separation effect of the manganese nodule and the mud and sand is effectively improved, the problem that the storage space is occupied after attachments such as the mud and sand are recycled is avoided, and the manganese nodule collection efficiency is remarkably improved.

The invention belongs to the technical field of marine mineral resource development, and relates to a method for extracting valuable metals from deep-sea polymetallic nodules through chloridizing roasting. According to the method, the deep-sea polymetallic nodule and the chlorinating agent are mixed according to a specific proportion and then roasted, so that valuable metals such as manganese, nickel, cobalt and copper in the manganese nodule are converted into soluble chlorides, and then a water leaching process is adopted, so that efficient extraction of various valuable metals in the deep-sea polymetallic nodule is realized; the technology which is low in roasting temperature, high in chlorinating agent utilization rate, high in metal leaching rate, short in process and low in pollution emission is obtained, and the technology has important economic and social benefits of promoting green development of deep sea resources and relieving strategic metal supply and demand contradiction.

The present application belongs to the technical field of mineral processing, and particularly relates to a method for recovering manganese by suspending roasting of manganese nodule. The manganese nodule is crushed and magnetically separated, and then reduced and roasted, so that the strong magnetic mineral in the finely ground product is separated, and manganese concentrate is obtained. The present application has the characteristics of simple process equipment, low processing cost, small environmental pollution, low investment and operation cost, and high manganese recovery rate. The roasting product of the intermediate product can be used as a raw material for smelting manganese-iron alloy, and the final product manganese concentrate can be used as a raw material for smelting metallic manganese.

The present application belongs to the technical field of deep-sea mineral resource exploration, and discloses a deep-sea manganese nodule coverage acoustic characterization method based on multi-classifier decision fusion. By extracting 14 backscattering texture features and 4 seabed topography features, and using Boruta algorithm to optimize the extracted features, a refined feature set for characterizing the seabed is constructed. An iterative robust estimation algorithm based on a sliding window is introduced to identify and suppress gross errors in the feature image by dynamically adjusting the observation weight through continuous smoothing of the data in different directions. In the model construction stage, the Stacking mechanism in ensemble learning is used to integrate the advantages of multiple classifiers for decision-level integration and generate a spatial distribution map of nodule coverage. The Boruta feature selection algorithm is introduced to screen out the key features with the strongest discrimination ability for nodule coverage from the original acoustic features, avoiding redundant interference and improving the accuracy and prediction discrimination ability of the model.

The method comprises the following steps: drying, crushing and screening deep sea manganese nodules, uniformly mixing the screened deep sea manganese nodules with a flux, heating to 200 DEG C in a tubular furnace under the protection of inert gas, roasting at a constant temperature, heating to 290 DEG C, roasting at a constant temperature, heating to 640 DEG C, roasting at a constant temperature, and naturally cooling to room temperature after roasting, thereby obtaining the manganese. And adding deionized water to leach manganese sulfate from the roasted sample at room temperature, filtering and separating, carrying out graded purification and impurity removal on the filtrate, adding ammonium bicarbonate to convert manganese sulfate into manganese carbonate, filtering, washing with deionized water, and calcining to obtain manganous-manganic oxide. The method comprises the following steps: forming a reducing atmosphere by using a flux under the protection of inert gas, reducing high-valence manganese into low-valence manganese by fully utilizing a manganese source in the deep-sea manganese nodule, carrying out sulfation reaction by using the low-valence manganese, and immersing the formed soluble manganese sulfate in deionized water, thereby efficiently extracting manganese from the deep-sea manganese nodule.

The invention belongs to the technical field of deep sea mineral resource exploration, and discloses a deep sea manganese nodule coverage rate acoustic characterization method based on multi-classifier decision fusion, and the method comprises the steps: extracting 14 backscattering texture features and 4 submarine topographic features, carrying out the optimization of the extracted features through employing a Boruta algorithm, and constructing a feature set for the refined characterization of the seabed; an iterative robust estimation algorithm based on a sliding window is introduced, observation weights are dynamically adjusted through continuous smooth data in different directions, and gross errors in feature images are recognized and suppressed; in the model construction stage, a Stacking mechanism in ensemble learning is adopted, the advantages of a plurality of classifiers are fused to carry out decision hierarchy integration, and a spatial distribution diagram of the tuberculosis coverage rate is generated. According to the method, a Boruta feature selection algorithm is introduced, key features with the strongest tuberculosis coverage rate discrimination capability are screened out from original acoustic features, redundant interference is avoided, and the precision and prediction discrimination capability of the model are improved.

The invention belongs to the technical field of soil environment identification, and particularly relates to a rapid identification method for a soil iron-manganese nodule enrichment area based on soil geochemical data. Comprising the following steps: S1, screening soil geochemical element indexes of an iron-manganese nodule enrichment area and other areas in a to-be-identified area according to a soil forming mother rock, a soil forming environment and a soil forming process, and screening out index elements for distinguishing the iron-manganese nodule enrichment area from the other areas; s2, determining a threshold value of soil geochemical element indexes screened in S1; and S3, verifying the geochemical element index threshold value of the iron-manganese nodule enrichment area. According to the method, the iron-manganese nodule enrichment region can be effectively divided through area survey data quickly, the geological high-background ecological low-risk region can be divided quickly and accurately, and the method has a good market application prospect.

This invention belongs to the field of deep-sea mining, specifically relating to a method for designing track parameters for a tracked vehicle used for collecting manganese nodules on the seabed. The method for designing track parameters for a tracked vehicle used for collecting manganese nodules on the seabed comprises the following steps: (1) Constructing a deep-sea seabed sediment creep model under the driving action of the deep-sea mining vehicle; (2) Deriving the formula for calculating the driving resistance of the deep-sea mining vehicle; (3) Performing secondary development and modeling based on the seabed creep model and driving resistance using multibody dynamics software; (4) Data interaction between the improved PSO algorithm based on Python and the multibody dynamics software; (5) Dynamically changing the search interval based on the current iteration number of the improved PSO algorithm; (6) Reaching the maximum iteration number and outputting the parameters. This invention comprehensively considers the rheological characteristics of the soft seabed sediment and the driving performance of the mining vehicle, and combines the improved multi-objective PSO algorithm to provide optimal values ​​for track parameters based on the subsidence amount and traction force of the mining tracked vehicle. It is expected to achieve good results in the design of track parameters for mining tracked vehicles in different sea areas.

The application discloses a deep-sea mining and smelting system and relates to the technical field of deep-sea mining.The deep-sea mining system comprises a sea floating platform, a lifting riser, a mining vehicle and an energy supply system, the energy supply system is connected with the lifting riser and the mining vehicle through wires, the sea floating platform comprises a floating body, a supporting part and a plurality of damping devices, the supporting part is arranged on the top of the floating body through the damping devices, the supporting part is provided with a smelting device, the smelting device is connected with the mining vehicle through the lifting riser, the mining vehicle collects ores, and the ores and other mixtures are transported into the smelting device of the sea floating platform through the lifting riser, so that the integrated process of ore mining and smelting is realized.The smelting device is arranged on the sea floating platform, the manganese nodules collected by the mining vehicle from the sea bottom surface are smelted, the integrated process of mining and smelting is realized, the manganese nodules are prevented from being transported to the land for smelting treatment, and the production efficiency is improved.

The application discloses a deep-sea polymetallic nodule mining vehicle, which comprises a structural frame, a caterpillar walking mechanism arranged at the bottom of the structural frame and used for driving the deep-sea polymetallic nodule mining vehicle to move along a preset direction, a collecting mechanism arranged at the front of the structural frame and used for collecting polymetallic nodules, a conveying and cleaning mechanism used for conducting directional conveying and separating and desliming of the collected polymetallic nodules, a crushing mechanism used for crushing the conveyed ore, a storage mechanism arranged at the tail of the structural frame and used for storing the crushed ore, a plume suppression mechanism used for effectively collecting and processing the plume generated by the deep-sea mining vehicle in the mining process and impurities carried by the manganese nodules, and an environment sensing mechanism used for sensing the deep-sea environment and controlling the caterpillar walking mechanism and the collecting mechanism. The application realizes the integration of collection, screening, cleaning and storage, improves the mining productivity and solves the problem of low collection efficiency of the existing mining vehicle.