18 results about "Waste Dumps" patented technology

The present invention discloses a fluid boundary prediction method for the instability and collapse of a waste dump, which relates to the field of disaster monitoring. The method comprises: step S1: implementing an initial waste dump fluid movement prediction and marking the initial boundary line of all waste dump fluids; step S2: collecting waste dump parameters, obtaining geological parameters, and dividing the downstream area into downstream plots; step S3: screening out risk plots with potential collapse, and using the limit equilibrium method to calculate the critical sliding depth; step S4: updating all critical sliding depths to a digital elevation model to re-solve the waste dump fluid movement prediction and mark the revised boundary line. The present invention updates the digital elevation model by calculating the volume of the potential collapse area, so that the prediction result is continuously adjusted as the collapse process occurs, avoiding the problem of low prediction accuracy of the waste dump fluid coverage range due to the fixed terrain assumption, and has the advantages of dynamically correcting the boundary of the waste dump collapse fluid trajectory and improving the disaster prevention capability of the collapse.

The invention discloses a PET (Polyethylene Terephthalate) degrading enzyme and an application thereof in the aspect of degrading PET plastics. The hydrolase LfPETase capable of degrading the PET plastic is screened from metagenomes of landfill soil samples of a garbage dump, the amino acid sequence of the hydrolase LfPETase is shown as SEQ ID NO.2, the similarity between the amino acid sequence of the hydrolase LfPETase and the highest sequence of 10 kinds of currently known common PET degrading enzymes is only 39.42%, and the novelty of a sequence skeleton of the hydrolase LfPETase is indicated. According to the invention, a pichia pastoris engineering strain capable of efficiently expressing and coding the PET degrading enzyme gene is constructed, and the specific activity of the recombinant degrading enzyme LfPETase obtained by purification is up to 250 U / mg when p-nitrophenyl octyl ester (pNPO) is taken as a substrate; after consumption, PCW-PET bottle flake plastic is taken as a substrate, degradation is carried out at 70 DEG C for 12 h, the depolymerization rate can reach 92%, and a new enzyme resource is provided for plastic enzymatic depolymerization recycling.

The invention discloses a composite ecological restoration technology suitable for an open-pit coal mine waste dump. The technology comprises the following steps: (I) planting water-saving and convergence-increasing plants: sowing the water-saving and convergence-increasing plants to the open-pit coal mine waste dump to be restored in a shrub and grass seed broadcast sowing manner; (II) preparation and spraying of a prokaryotic microbial strain: culturing the separated and purified pseudoarthrobacter sp.xwn1, microbacterium sp.xwn2 and Acinetobacter sp.xwp1, carrying out enlarged culture on the cultured microbial agent, and then spraying and applying the microbial agent to the open pit coal mine waste dump after the microbial agent is applied to the open pit coal mine waste dump after the microbial agent is applied to the open pit coal mine waste dump after the microbial agent is applied to the open pit coal mine. By using the composite ecological restoration technology, the carbon sequestration capacity of plants is promoted, the organic carbon content of soil is increased, and ecological carbon sequestration restoration of the open pit coal mine waste dump is facilitated.

The utility model relates to the technical field of side slope reinforcing and greening, in particular to a reinforcing and greening device for a mine slag pile side slope, which comprises two steel cables, a plurality of groups of greening mechanisms and a plurality of groups of mounting components, and each group of greening mechanism comprises a vegetation bag, a protective frame, two stop levers, a plurality of groups of fixing components and two groups of connecting components, each set of fixing assembly comprises a first anchor rod, two abutting rods and two first springs, the first anchor rods are fixedly connected with the protection frame, one ends of the two abutting rods are hinged to the first anchor rods respectively, one ends of the two first springs are fixedly connected with the first anchor rods respectively, the other ends of the two first springs are fixedly connected with the corresponding abutting rods respectively, and the first springs are fixedly connected with the first anchor rods respectively. The two connecting assemblies are symmetrically arranged on the upper surface of the protection frame, the multiple mounting assemblies are fixedly connected with the corresponding steel cables correspondingly, and through the arrangement, the reinforcing and greening device can be better attached to the surface of the mine slag pile, so that the reinforcing and greening effect is improved.

The present invention belongs to the technical field of positioning devices and discloses a prefabricated panel positioning device for landfill construction, including a prefabricated panel, an array of which is provided with reinforcing ribs, and the two ends of the reinforcing ribs respectively pass through the top and bottom surfaces of the prefabricated panel, a mounting plate is provided at the bottom of the prefabricated panel, and a positioning component for adjusting the position angle of the prefabricated panel is provided on the top surface of the mounting plate, and a connecting component for stabilizing the prefabricated panels is provided between the prefabricated panels, and the positioning component includes a base, an adjusting groove is provided on the top surface of the base, and an adjusting column is provided in the adjusting groove. When the prefabricated panel is connected to the adjusting column, the base can rotate and adjust the prefabricated panel in the horizontal plane through the ball bearing of the base, and the adjusting column can rotate and adjust the prefabricated panel in the vertical direction in the adjusting groove. This design enables the prefabricated panel to be adjusted to multiple positions and angles, facilitates rapid installation and disassembly of the prefabricated panel, and improves the installation efficiency of the prefabricated panel in landfill construction.

The present invention discloses a method for rapidly cultivating mature sporophytes from Dicranopteris dichotoma prothalli. Using Dicranopteris dichotoma prothalli as the breeding basic material, the cultivation process combines tissue culture and facility cultivation and is divided into 4 processes, namely: prothallus development and germination, prothallus development and maturity, artificial environment to promote the generation of young sporophytes from prothalli, and facility cultivation to promote the development of young sporophytes into mature sporophytes. By using tissue culture induction technology and facility cultivation, the present invention can obtain a large number of Dicranopteris dichotoma seedlings with strong stress resistance that can be directly planted in difficult sites such as mines in a relatively short time, without being affected by seasonal climate changes and natural disasters, providing technical support for the factory cultivation of Dicranopteris dichotoma and the cultivation of its clones. The present invention shortens the cultivation time of Dicranopteris dichotoma plants, saves the cost of Dicranopteris dichotoma seedling cultivation, and can provide plant planting materials for ecological restoration of difficult sites such as mines, slopes, tailing waste dumps, and strongly acidic soils.

To provide a garbage collection work notification system capable of notifying users with sufficient alert effectiveness that a garbage truck is approaching a garbage dump site for each type of garbage.SOLUTION: A garbage collection work notification system includes a management server, an on-board terminal device, and a user terminal device. The management server acquires and stores the trajectory of each work vehicle using location information transmitted from each on-board terminal device. The management server calculates the required time from the current location of the work vehicle on a patrol route of garbage dump sites to each garbage dump site for each type of garbage used by each user based on the past trajectory of the work vehicle on the patrol route, and then sends a work vehicle approaching notification to the user terminal device of each user who is registered for each uncollected garbage dump site located within a predetermined time distance from the current location of the work vehicle. This minimizes the frequency of work vehicle approaching notifications, prevents a decline in alert effectiveness due to habituation, and ensures that notifications are delivered with sufficient alert effectiveness.SELECTED DRAWING: Figure 1

The present invention discloses a monitoring system for the slope stability of a waste dump, comprising: a data acquisition module: responsible for collecting the deformation data of the slope in real time through various sensors deployed on the slope of the waste dump. Meanwhile, the macroscopic information of the slope is obtained by using aerial images and digital elevation images; a data transmission module: responsible for transmitting the collected data to the data processing center in real time by using Internet of Things technology; the data processing center includes a data processing and analysis module, an early warning and decision support module, and a user interaction module; the data processing and analysis module: responsible for processing and analyzing the transmitted data. By constructing a slope stability model, the stability state of the slope is evaluated. During the process of constructing the slope stability model, based on the known characteristics of unstable slopes, some new and virtual unstable slope data are generated by GAN to supplement the training set.

The invention relates to the technical field of mine engineering, in particular to a mine dump flood interception project arrangement algorithm optimization method based on multiple objectives, which comprises the following steps: collecting multi-source data on a mine dump flood interception project; a three-dimensional geologic model, including a high-precision digital earth surface model (DSM) and a high-precision digital elevation model (DEM), of the waste dump is constructed through multi-source data acquisition, and a seepage-slope coupling model is established by combining geologic features of the waste dump; extracting a drainage basin water system network based on hydrological analysis and geologic features, and determining a flood interception project control range; performing multi-objective optimization on the trend of the flood intercepting ditch, and performing fine adjustment on section parameters of the flood intercepting ditch through a particle swarm algorithm; verifying an optimization result by using historical flood data and a slope stability model; through multi-source data fusion, the seepage-slope coupling model and dynamic verification, efficient, accurate and safe optimization of the flood interception project is realized.

The application provides a flexible drainage ditch construction method, comprising the following steps: S1, designing the drainage ditch trend and size according to the gas collection shaft distribution in the landfill; S2, excavating the trench foundation pit of the drainage ditch by the excavator, and filling the broken stones in the excavated trench foundation pit; S3, excavating the foundation pit by using the shaped excavator, and shaping the broken stones into the trench shape; S4, processing the geocell according to the trench section shape, and laying the geocell in the trench; S5, filling the plain concrete in the geocell and smoothing; S6, laying the geotextile on the upper surface of the plain concrete before the plain concrete solidifies, and then pouring the plain concrete again and curing the plain concrete. The broken stones are filled in the foundation pit, the settlement stress of the landfill is resisted by the broken stones, the drainage ditch is prevented from being damaged, the drainage ditch can bear a certain deformation tensile stress through the geocell, the overall stability of the drainage ditch structure is maintained when the settlement occurs, and the anti-seepage performance of the landfill can be further improved.

The invention provides a plant grass seed bag for slope protection of a mine dump and application of the plant grass seed bag. The plant grass seed bag is prepared from wheatgrass, elymus dahuricus, astragalus adsurgens, caragana microphylla, sweet clover and annual ryegrass according to the mass ratio of (1-1.4): (1-1.4): (1-1.6): (0.3-0.7): (0.1-0.4): (0.3-0.7). The plant grass seed bags are used for protecting the slope surface of the mining area dumping site. The method comprises the steps that S1, the slope surface of the mining area dumping site is leveled and then organic fertilizer is applied; s2, the plant grass seed bags are sown on the slope surface of the mine dump; s3, a water and soil immobilization material is laid, specifically, the water and soil immobilization material is laid on the slope surface of the mine dump and fixed; the water and soil holding material is one or any combination of a straw mat, plant fibers, a salix mongolica sand barrier and a reed curtain; s4, irrigation and maintenance; according to the method, the slope surface of the mine dump is successfully covered with green through cooperation of the water and soil immobilization material, the plant grass seed bag and the organic fertilizer.

The invention relates to the field of ground subsidence monitoring, in particular to an open pit coal mine dumping site subsidence deformation monitoring method. The method comprises the following steps: acquiring and preprocessing real-time data of each sensor to obtain settlement data of each sensor; fusing the settlement data of each sensor through a dynamic weighted position fusion mechanism to obtain a fused settlement predicted value; a dynamic adjustment factor is introduced to correct the fused settlement prediction value, and a corrected settlement prediction value is obtained; and calculating a comprehensive risk index by using the corrected settlement predicted value, and monitoring settlement deformation of the open pit coal mine waste dump based on the comprehensive risk index. The problems that a traditional settlement monitoring method often depends on a single type of sensor to conduct data collection, a dynamic adjustment mechanism is lacked, influence evaluation on external environment factors is insufficient, and deviation exists between settlement prediction and the actual situation are solved.

The present application provides a method and system for landform reshaping of an open-pit mine waste dump based on natural geographical features. The method includes: obtaining the landform features, mining data, and ecological impact data of the open-pit mine waste dump, and collecting the natural geographical features of the surrounding natural area to generate reshaping parameters for the open-pit mine waste dump; extracting slope profile lines and slope feature parameters based on the natural geographical features, and performing normal tests and correlation analyses on the slope feature parameters; performing curve fitting on the slope feature parameters, constructing a slope model according to the slope feature parameter curve to simulate the natural landform and construct a landform reshaping model for the open-pit mine waste dump; reshaping the landform of the open-pit mine waste dump according to the reshaping parameters in accordance with the landform reshaping model. This method constructs a landform reshaping model for the open-pit mine waste dump that is similar to the surrounding original landform, making the reshaped landform consistent with the surrounding landform and improving the coordination and stability of the reshaped landform.

The invention belongs to the technical field of target detection, and aims to solve the problem of inaccurate detection of a small target in a large environment at present. The invention provides a strip mine dump large-scene multi-target detection method, which comprises the following steps of: constructing a multi-target network model based on Yolov8n, taking a Yolov8n network as a basis, replacing all C2f modules in the Yolov8n network with a C3Ghost module, replacing a Conv module with a GSConv module in a backbone network of the Yolov8n network, replacing the Conv module with a GhostConv module in a neck network, and introducing a C3STR module at the same time. A small target detection layer is added; then training and optimizing a multi-target network model by using the preprocessed historical multi-target video image to obtain an optimized multi-target network model; and inputting a to-be-detected multi-target video image into the optimized multi-target network model for target identification. According to the method, the target detection precision in a large environment is improved, and the parameter quantity and the model size are reduced.

The present invention relates to the technical field of waste dump simulation test, and specifically to an in-situ test device and method for waste dump rock and soil destruction, wherein the in-situ test device for waste dump rock and soil destruction comprises a test bench, a rock and soil box and at least one test vibration seat, the test bench comprises a table body, a sliding plate and a transmission assembly, the sliding plate and the transmission assembly are mounted on the table body, the rock and soil box is detachably mounted on the sliding plate, the transmission assembly is used to drive the sliding plate to move along the length direction of the test bench; and at the same time drive the sliding plate to move periodically along the height direction of the test bench; a drive assembly, the drive assembly is connected to the test vibration seat, the transmission assembly and the spoiler assembly; the problem that the existing technology has a single earthquake vibration loading method and cannot simulate the vibration and sliding coordinated process of the waste dump rock and soil, resulting in a mismatch with the real waste dump rock and soil dynamic coupling mechanism is solved.

This invention relates to the field of solidification materials, and discloses a solidification material that combines seepage prevention and pollution remediation functions with its application. The solidification material comprises a first component, a second component, and a third component; the first component comprises cement; the second component comprises slag; and the third component comprises hydrotalcite and a piezoelectric catalyst. Through the rational matching and compounding of its components, this solidification material forms a synergistic effect, significantly improving the crack resistance, seepage resistance, and corrosion resistance of vertical seepage barriers. It can simultaneously meet the requirements for seepage prevention performance and has the function of remediating heavy metals and organic pollution, thereby achieving the goal of long-term vertical seepage prevention in solid waste dumps. Furthermore, it simultaneously realizes the reduction and utilization of bulk solid wastes such as blast furnace slag and fly ash, resulting in excellent economic and equipment benefits.

At a waste management apparatus (5) mounted on a waste collection vehicle (1), images of the waste dumped into a hopper (2) are acquired. An AI module is used to detect the objects and provide, for each detected object, a position in the image and a class in a predefined classification of objects. New objects are determined amongst the detected objects based on the output of the AI module. Each object detected in the given image is compared with a history of objects detected in a plurality of previous images, based on a function of a plurality of distances comprising at least a distance between the class and a distance between the position of the objects being compared.

The invention provides a waste slag field intelligent identification method and system based on a high-resolution remote sensing image, belongs to the technical field of remote sensing image processing, and aims to solve the problem that real-time monitoring of a waste slag field, especially an ultra-large waste slag field cannot be realized in the prior art. Comprising the following steps: S1, acquiring a remote sensing image of a waste slag field, and preprocessing the remote sensing image; s2, initializing GLI D-DeepLab model parameters, and performing feature extraction on the remote sensing image in the step S1 by adopting a deep convolutional neural network RMT and combining a bidirectional feature pyramid network BiFPN; s3, performing iterative regularization deconvolution processing on the features obtained in the step S2, and fusing shallow features output by the encoder backbone network; and S4, selecting a remote sensing image sample to be detected, and inputting the remote sensing image sample to the trained GLI D-DeepLab model. According to the method, the deep convolutional network RMT and the bidirectional feature pyramid network are combined, and the visual hybrid coding auxiliary detection head is prompted in an auxiliary manner, so that multi-scale features can be effectively extracted, and the identification of the waste slag field is realized.