123results about How to "Low implementation cost" patented technology

This application provides a grinding device for aluminum single panels, comprising a frame, a grinding station disposed above the frame, a grinding mechanism disposed on the frame and above the grinding station, and a clamping mechanism disposed on the grinding station. In actual use, by matching and placing the aluminum alloy sheet in the grinding station, and then setting clamping components on both sides of the grinding station, the aluminum alloy sheet is clamped in the grinding station by moving the two clamping components toward each other, thereby effectively improving the fixing stability of the aluminum alloy sheet and avoiding displacement of the aluminum alloy sheet relative to the supporting surface during the grinding process. This effectively ensures the uniformity of the grinding of the aluminum alloy sheet surface, improves the grinding quality of the aluminum alloy surface, and effectively removes oxide spots and scratches on the aluminum alloy surface. It can fully meet the product needs of customers and has the advantages of simple structure, easy operation, low implementation cost, and easy promotion and implementation.

The invention belongs to the technical field of Internet of Vehicles communication, and discloses a heavy diesel vehicle remote monitoring method and system based on edge computing, and the method comprises the steps: constructing a rule engine according to a predefined transmission rule, and deploying the rule engine to an edge computing node; the data stream of the heavy diesel vehicle is transmitted to an edge computing node, a rule engine is used for evaluating each data field in the data stream, a corresponding transmission level is distributed, and the transmission level comprises a first-level field, a second-level field and a third-level field; and matching a preset transmission strategy according to the data field with the allocated transmission level, executing differentiated data processing, and transmitting a processing result to an enterprise cloud platform through a network transmission layer. According to the method, low-value data is filtered in real time through edge calculation, the invalid data uploading amount is reduced, and data transmission is reduced; in addition, through a high compression ratio and a delay transmission technology, the bandwidth occupation of low-value data is reduced, and the utilization efficiency of network resources is optimized.

This invention discloses a semiconductor packaging structure and its application. The structure includes: a semiconductor wafer; a dielectric layer formed on the semiconductor wafer; a plurality of pads formed in the dielectric layer; a substrate; the semiconductor wafer is connected to a first metal wiring layer via pads and a plurality of first conductive bonding units, and connected to a second metal wiring layer via first through-hole metal, the second metal wiring layer having a plurality of second conductive bonding units; it also includes a first pad and a second pad, the first pad and the second pad being connected in the dielectric layer via a metal connection layer; the first pad is connected to the first metal wiring layer via a first conductive bonding unit, the second metal wiring layer further having a third conductive bonding unit; the second pad is connected to the first metal wiring layer via a piezoelectric material bonding unit, the second metal wiring layer further having a fourth conductive bonding unit; and a packaging layer. This invention enables effective monitoring of micro-region stress inside flip-chips.

The present subject matter discloses a system and a method for integration application environment migration utilizing hub and spoke architecture. In one implementation, the method for application environment migration comprising assessing at least one source application code of corresponding integration application environment by a processor (122) of an integration application server. The processor forecasts an assessment statistic (302) that provides at least one functional readiness (304) and a timeline (306) to complete the migration of the each source application code. The processor (122) further scans the each source application code of corresponding source application for generating the integration applications compatible with a target application environment and creates a relationship map to match components of the integrating applications with components of the target application environment. The processor (122) generates a re-factored code for the each source application code by breaking the each source application code into macro-services (426a, ..., 426n) and repackaging the macro-services (426a, ..., 426n) in accordance with the target application code. Thereby, updating components of the integration application environment as per the forecasted assessment statistic (302) and the re-factored code and thus migrating the integration application environment to the target application environment while re-platforming the updated components and the re-factored code of the integration application environment to the target application environment.

The invention discloses an automatic part processing method based on CATIA and Excel. The method comprises the steps that a target part list is determined; a VBA program is utilized in Excel, part identifiers in the list are converted into combined search character strings capable of being recognized by CATIA, and special characters are automatically processed in the process; opening a general assembly in the CATIA, entering an advanced search interface, and importing the combined search character string; searching is executed to select 3D digital models corresponding to all target parts in batches at a time; and carrying out subsequent batch processing operation on the selected part set, wherein the subsequent batch processing operation comprises batch activation, color change, subset copying and creating or exporting. According to the method, whole-process automation from the list to three-dimensional model batch processing is achieved, manual operation of several hours is shortened to several minutes, the accuracy rate is 100%, the design efficiency and the data quality are greatly improved, and meanwhile based on a universal software platform, the implementation cost is low.

The invention discloses a hot-rolled plate structure toughness prediction method and system combined with an impact energy change curve, and belongs to the technical field of metal material structure performance evaluation.The method comprises the steps that an impact test is conducted on a hot-rolled plate sample, and an impact force-displacement curve and an energy absorption-time curve are collected in real time; preprocessing the impact force-displacement curve and the energy absorption-time curve, and extracting characteristic parameters; acquiring hardness distribution data of the hot-rolled plate sample, acquiring hardness gradient data by using the hardness distribution data, and taking the hardness gradient data as a correction factor of the curve characteristics; constructing a structure toughness prediction model based on the characteristic parameters and the correction factors, and predicting the toughness grade and the structure state of the hot-rolled plate; and outputting the toughness grade and the structure state of the hot-rolled plate. According to the method, the limitation that traditional metallographic detection consumes too long time and an impact test only provides a single value is solved, double evaluation results can be obtained within 30 seconds after the impact test, and the method is suitable for rapid online quality monitoring and process adjustment of hot rolling production.

The utility model provides a low -noisy lubricating device of vehicle main speed reducer, it includes casing, flange assembly, first bearing, elastic spacer, second bearing, differential assembly, its characterized in that: be equipped with with differential assembly corresponding cooperation's baffle oil groove in the casing, baffle oil groove is connected through support and the bearing cover in differential assembly, is equipped with with first bearing corresponding cooperation's wear -reducing gasket on flange assembly. The utility model simple structure, facilitate in prior art structure embodiment, and the implementation cost is low, has reduced differential assembly's oil stirring loss, thereby has improved transmission efficiency, has reduced the noise when flange works.

The utility model provides a washing dechlorination suction filtration device for polyaluminum chloride process slag. The washing dechlorination suction filtration device comprises a liquid collecting mechanism, a negative pressure mechanism arranged on the liquid collecting mechanism, a suction filtration mechanism arranged on the liquid collecting mechanism, a sealing mechanism arranged between the suction filtration mechanism and the liquid collecting mechanism, and a finished product collecting mechanism arranged on the suction filtration mechanism. The to-be-filtered object is arranged in the finished product collecting mechanism in a matched mode, the sealing mechanism is used for preventing external air from entering the liquid collecting mechanism, and the negative pressure mechanism is used for providing a negative pressure condition for the liquid collecting mechanism so that liquid in the to-be-filtered object can be drained into the liquid collecting mechanism. The sealing mechanism is arranged between the liquid collecting mechanism and the suction filtration mechanism, and the finished product collecting mechanism is independently arranged on the suction filtration mechanism, so that the sealing performance of the liquid collecting mechanism can be remarkably improved, the dechlorination efficiency is improved, the finished product collecting difficulty is reduced, the production efficiency is improved, and the large-scale production requirement is met. The device has the advantages of simple structure, simplicity and convenience in operation, low implementation cost and convenience in popularization and implementation.

The invention belongs to an intelligent highway pavement structure based on a self-sensing asphalt material and a monitoring system of the intelligent highway pavement structure, and discloses the intelligent highway pavement structure based on the self-sensing asphalt material and the monitoring system of the intelligent highway pavement structure. A pavement structural surface layer is made of a self-sensing asphalt mixture containing an amorphous silicon-based composite functional phase, the functional phase is prepared through a specific process, a nano bowl-shaped array is arranged on the surface of the functional phase, tungsten carbide nano crystal nucleuses are coated on the surface of the functional phase, and the functional phase and asphaltene form a non-equilibrium electron cloud overlapping system. The monitoring system is based on a non-contact microwave resonant cavity coupling principle, analyzes reflected signals, extracts characteristic vectors, and inverts real-time stress, strain, damage factors and temperature state parameters in combination with an inverse problem solver. A traditional sensor pre-embedding mode is abandoned, the pavement body and the sensing function are fused, the problems of implantation damage, life mismatching, low spatial resolution and the like are solved, and a new normal form is provided for intelligent road safety early warning and full-life management.

This invention discloses a self-optimizing control method and system for a fabric spreading machine based on multi-source scoring feedback, belonging to the field of textile machinery automation technology. The method includes: real-time acquisition of multi-source data from the fabric spreading machine; calculation of parameter jitter score Q1, operational continuity score Q2, and fabric smoothness score Q3 respectively, and weighted fusion to obtain a comprehensive quality score; when the comprehensive quality score is below a threshold, root cause analysis is performed to generate parameter tuning suggestions; parameter regression prediction is performed using historical high-scoring samples, optimized parameter combinations are output and executed, and the score is updated based on newly acquired data, forming a self-optimizing closed loop. This invention, through multi-dimensional quantitative evaluation and data-driven closed-loop optimization, solves problems such as reliance on experience in manual parameter tuning, subjective quality assessment, and difficulty in fault attribution, significantly improving the consistency of fabric spreading quality and the level of equipment intelligence.

The invention provides an oil and gas well segmented testing device and method, and relates to the technical field of oil and gas well testing, the device comprises a sleeve, a fracturing bridge plug and a testing short section device, and the testing short section device is connected to the lower portion of the fracturing bridge plug and goes down to a preset position in a well along with the bridge plug. The test short section device is of a cage type structure, a battery, a timer, a holding claw, a pull rod, a motor pulling cylinder and a plugging device are arranged in the test short section device, the timer is used for controlling the gear motor pulling cylinder to act, the pull rod pulls the holding claw to rotate, the plugging device is released, a bridge plug center hole is plugged, and a flowing channel is closed; the testing method comprises the steps of collecting drainage and production data of adjacent wells to determine plugging time; designing a test short section and setting the starting time of a timer; the device is connected with a bridge plug to descend into a well, and staged fracturing is completed; sequentially starting timers after oil-gas well liquid drainage production, blocking section by section, recording wellhead yield data, and calculating the productivity of each section; according to the method, measurement is directly performed through physical isolation, the test result is visual and reliable, the anti-interference capability is high, the cost is low, and the method is suitable for output monitoring of low-permeability and unconventional reservoir staged fractured wells.

This application relates to the field of automation control technology, and discloses a high-speed belt conveyor deviation correction system and method. The method includes: determining whether the belt is offset relative to the conveyor based on the current position signal of the belt on the conveyor; if offset, determining the current offset parameter of the belt relative to the conveyor based on the position signal; constructing a motor control quantity prediction term based on the current offset parameter, applying preset constraints to the motor control quantity prediction term and solving for the current motor extension / retraction control quantity of the execution unit at the current moment; and generating a belt deviation correction command based on the current motor extension / retraction control quantity. Using the above method, real-time automatic identification and accurate correction of belt deviation can be achieved, effectively eliminating the reliance on manual inspection and experience-based adjustments.

The invention discloses a linkage control method, device, equipment and system for a smoke purifier, and the method comprises the steps: S100, monitoring the working power of external equipment through a power detection circuit, and enabling the power detection circuit to be in lap joint with a power interface of the external equipment through an adapter; s200, comparing the working power with a preset power threshold value, wherein the preset power threshold value represents the power of the external equipment entering the working state; s300, when the working power exceeds a preset power threshold value, generating an effective level trigger signal; and step S400, sending the high level trigger signal to a smoke purifier host through an audio transmission line, so that the smoke purifier host starts a fan to perform smoke purification operation in response to the effective level trigger signal. Smoke purification linkage control which is low in cost and wide in compatibility with the third-party equipment is achieved under the condition that the smoke purifier and the third-party equipment are not damaged.

This invention relates to an energy consumption optimization method for special steel annealing furnaces based on improved nonlinear model predictive control, belonging to the field of intelligent control technology for special steel heat treatment. It solves the problems of lag and overshoot inherent in the PID controllers used in most existing annealing furnaces. Based on the law of conservation of energy, the formulas for annealing furnace heat loss, heating, and steel heat absorption, a nonlinear differential equation describing the furnace temperature is obtained. The current state and operating parameters are acquired. A physical information neural network is constructed based on the nonlinear differential equation describing the furnace temperature to predict the furnace temperature. Based on the predicted furnace temperature, current state, and operating parameters, an NMPC controller is used to obtain the updated valve opening. This invention enables real-time adjustment of the furnace temperature by a nonlinear model according to the current state and operating parameters.

The application provides a spatial light modulation method and system of Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. The method combines a Gray code sequence and a high-performance basic modulation matrix, a basic modulation matrix is constructed according to a target image resolution and a sampling rate, a Gray code index sequence with only one different adjacent index is generated, a measurement matrix is obtained through a mapping function rearrangement matrix, the measurement matrix is loaded to a spatial light modulator to code light signals, a double-channel detector collects transmission and reflection light intensity responses and performs differential processing, and a compressed sensing reconstruction algorithm is input to recover an image. The application realizes stable and efficient information capture at a low sampling rate, improves the anti-interference ability and repeatability of the system, has strong hardware compatibility, low implementation cost, and is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

The invention discloses a lamp anti-theft positioning method and system based on a reader-writer-tag dual-channel handshake timeout mechanism and a storage medium, and solves the problems of metal shell shielding, high power consumption, no local deterrence, alarm delay and the like. The reader-writer periodically transmits a radio frequency command frame; the dual-mode electronic tag in the lamp and the 2.4 GHz active frame are subjected to conformal loopback response through a UHF passive reflection link; and if no response is received within 500 ms-2 s, handshake is judged to be overtime, and the rear end immediately reports'suspected theft 'and triggers the lamp body to give a stroboscopic alarm by using a 1-3 Hz white LED, so that'alarming once being taken away' is realized. The system is composed of a lamp end dual-mode tag and LED stroboscopic drive, a reader-writer end radio frequency transceiving and timeout timer and a rear end alarm upgrading and pushing module. A single reader-writer covers a 30-80 m area to complete area-level positioning. The plastic shell is provided with no hole, and IP67 protection is kept. The storage medium stores a program for implementing the method. The system is low in power consumption, easy to implement and suitable for mobile lighting anti-theft management of miner lamps, construction head lamps, storage forklift lamps and the like.

This invention discloses a secure alignment method and system for large language models based on multilingual self-distillation, belonging to the fields of artificial intelligence and natural language processing. The method instantiates a teacher model and a student model from the same large language model. The student model only receives queries in the target low-resource language, while the teacher model additionally receives English queries and thought chain instructions to stimulate secure reasoning capabilities in high-resource languages. A dual-perspective security weighting mechanism is proposed to jointly evaluate teacher confidence and student deviation, adaptively adjusting the token-level penalty weight. It supports both online and offline self-distillation modes, achieving cross-language security capability transfer through weighted KL divergence optimization. This invention requires no response data and achieves superior security performance on multiple large language models and multilingual jailbreaking benchmarks, particularly demonstrating strong generalization ability on low-resource languages ​​not seen in the training set, while maintaining model versatility and eliminating the problem of existing methods relying on high-cost response data generation.

The application discloses a kind of mechanism and data double-constrained drilling gas invasion early warning method and device, comprising: drilling engineering parameter is input to wellbore hydraulics model, generates virtual sensing data in well, and with wellhead ground measured data fusion forms multi-source fusion data, multi-source fusion data are used to train physical information neural network, and gas invasion early warning prediction model is obtained;Real-time fusion feature vector is input to gas invasion early warning prediction model, and wellhead pressure prediction value is output;According to wellhead pressure prediction value and wellhead ground measured data calculation physical error, and wellhead ground measured data are input to self-encoder calculation data reconstruction error, and physical error and data reconstruction error are fused into comprehensive anomaly index;Comprehensive anomaly index is compared with preset grading early warning threshold value, to carry out drilling gas invasion grading early warning according to comparison result.The application can realize complex drilling gas invasion risk early, accurate, reliable early warning.

An action identification method and apparatus based on artificial intelligence. The method comprises: determining node sequence information corresponding to video frames in video data to be identified (S201); determining action types respectively corresponding to the video frames according to the node sequence information respectively corresponding to N continuous video frames in said video data (S202); and determining which interaction action an interaction object makes according to the action types (S203). When determining an action type corresponding to a video frame, reference is made to information carried by N continuous video frames where the video frame is, or reference is made to related information of the video frame in past and / or future time, so that more effective information is introduced; even if said video data is obtained by using a non-special action identification acquisition device, relatively high action identification precision can also be achieved in a manner of determining the action types corresponding to the video frames by means of a group of continuous video frames, so that the application range and the implementation cost of an intelligent interaction scenario are reduced.

The application belongs to the technical field of civil aviation airport flight management, and discloses a flight resource dynamic allocation method and system based on data analysis. A resource data set based on resource characteristics is constructed, and a flight history database based on flight characteristics is constructed; a resource allocation scheme sample library containing both flight characteristics and resource characteristics is constructed; an initial resource allocation scheme is established by data analysis using the resource allocation scheme sample library, and the initial resource allocation scheme is further adjusted to form an allocation scheme of allocation resources; flight information is marked with flight characteristics to complete the allocation of flights; meanwhile, corresponding resource characteristic values in the resource data set are matched with resource characteristics in the allocation scheme of allocation resources to complete the allocation of resources. The application realizes dynamic allocation of flight resources, reduces the cost of manual allocation, and improves the efficiency of flight resource allocation.

The utility model discloses a self-cleaning system of a papermaking white water tower. The papermaking white water tower comprises a tower body, the tower body is provided with an inclined tower bottom, a water outlet in the lower portion of the tower body is connected with an inlet of a driving pump through a water outlet pipeline, an outlet of the driving pump is connected with white water treatment equipment through a water conveying pipeline, and a sewage draining outlet in the lower portion of the tower body is connected with a sewage draining pipeline. The papermaking white water tower self-cleaning system comprises an annular cleaning header pipe arranged around the outer wall of the lower portion of the tower body, the cleaning header pipe is connected with the water conveying pipeline through a connecting pipe, and the cleaning header pipe is connected with inlets of a plurality of cleaning branch pipes. Outlets of the cleaning branch pipes penetrate through the side wall of the tower body, then extend downwards to the tower bottom and face the sewage draining exit, the cleaning branch pipes are evenly distributed on the cleaning main pipe at intervals, and a cleaning switch valve is installed on the connecting pipe. According to the utility model, the tower bottom can be automatically cleaned under the condition that the papermaking white water tower is not stopped, and the cleaning efficiency is high.

The application discloses a passenger luggage management method and system based on channel vision and RFID fusion, and the management method comprises the following steps: performing a line body collection mode and a vision collection mode in parallel in a luggage preparation area, and acquiring line body mode binding data and vision mode binding data associated with passengers and luggage baskets respectively; checking two groups of data based on a preset fusion rule to determine final person-basket binding data; binding security luggage images generated by an X-ray machine and recognized basket numbers to generate basket-luggage binding data; and associating luggage images to corresponding passenger identity information according to the person-basket binding data and the basket-luggage binding data to generate traceable security management records. The application solves the management defects in the prior art, such as the fact that passenger information and luggage information cannot be automatically associated, the fact that the association reliability is low, and the fact that tray reuse management is chaotic.

A method for determining the association and continuity combination of top-side-rock structural surfaces based on unsupervised learning is proposed. This method involves investigating the structural surfaces of the roof and side-rock masses in underground engineering projects to obtain geometric and statistical information. A unified encoding is performed to construct a joint feature set of roof-side-rock structural surfaces. An unsupervised density-based clustering algorithm is used for initial cluster analysis of the joint feature set. A swarm intelligence-based Lüperfox optimization algorithm is introduced to optimize key parameters of the DBSCAN clustering algorithm. A Latin hypercube sampling method is used to improve the population initialization process of the Lüperfox optimization algorithm, resulting in better DBSCAN hyperparameters and optimized structural surface clustering results. The method determines the structural surface system affiliation of structural surfaces in different locations, quantitatively calculates the spatial continuity and combination relationship of structural surfaces, and outputs the spatial association determination results and continuity levels of the roof-side-rock structural surfaces. This method enables intelligent identification and quantitative analysis of the spatial relationship between roof and side-rock rock structural surfaces.

The application discloses a tunnel large deformation prediction method based on geological feature adaptation and PSO-RF algorithm and belongs to the technical field of tunnel engineering safety monitoring. The method aims at the problems of poor geological condition adaptability and insufficient prediction accuracy of the prior art, and a whole-process technical framework of "data preprocessing-geological scene clustering-PSO parameter optimization-RF prediction-result verification" is constructed. Firstly, nine core indexes are collected, and after missing value processing and standardization, the geological scene is divided into three categories of soft rock water-rich section, fault broken section and hard rock stable section by K-means clustering. Then, the improved PSO algorithm is used to simultaneously optimize the RF hyperparameters and feature weights, and the parameter self-adaptation is realized through the scene inertia weight adjustment and the fitness function constraint. Finally, the weighted feature matrix is constructed to train the PSO-RF model, and the I-V grade large deformation grade prediction results and feature importance ranking are output. Experiments show that the application has high accuracy and low misjudgment rate.

The application discloses an eMMC contactless UART card opening method and system and electronic equipment, and the method comprises the following steps: setting an execution switching flag in the ROM starting code of a target processing platform, and presetting the storage addresses corresponding to the ROM starting code, the card opening code and the card opening configuration file; restoring the ROM starting code, the card opening code and the card opening configuration file to the corresponding addresses through a debugging interface; resetting the target processing platform, and modifying the execution switching flag through the debugging interface, so that the target processing platform jumps to execute the card opening code; starting the UART input interrupt during the execution of the card opening code, and receiving the card opening file through the UART serial port after receiving a preset starting character. The application does not need to rely on a card opening fixture and special card opening software, can reduce wiring, reduce the risk of static damage, simplify the card opening process, and support custom file transmission and parallel card opening of multiple devices.

The utility model provides a polyurethane varnish reaction kettle, which comprises a reaction kettle main body and a stirring assembly arranged on the reaction kettle main body, the stirring assembly comprises a stirring rod capable of rotating relative to the reaction kettle main body, a horizontal stirring group arranged on the stirring rod, and a vertical stirring group vertically arranged on the horizontal stirring group, by vertically arranging the vertical stirring group on the horizontal stirring group, when the stirring rod rotates relative to the reaction kettle main body, the stirring rod can simultaneously drive the horizontal stirring group and the vertical stirring group to rotate relative to the reaction kettle main body, so that the contact area between the stirring assembly and a polyurethane varnish raw material is increased, and the shearing performance of the stirring assembly is improved; the polyurethane varnish is kept in a uniform proportion in the production process during rotation, the turbidity of a finished product is reduced, the quality of the finished product is improved, and the device has the advantages of being simple in structure, convenient to install, low in implementation cost and convenient to popularize and implement.

This application provides an automatic traffic cone placement device, including an engineering vehicle, a placement mechanism, a traffic cone compartment, and a conveying assembly. The placement mechanism includes a base, a connecting rod, and a clamping assembly. The clamping assembly clamps the traffic cones in the traffic cone compartment vertically with the cones facing downwards, and flips them away from the base via the connecting rod, so that the traffic cones are placed on the road surface vertically with the cones facing upwards. During the clamping process, the center of gravity of the traffic cones is close to the clamping assembly, resulting in high clamping stability. The placement of the traffic cones is completed by a set of rotating joints on the connecting rod and the base, eliminating the need for multiple rotating joints for precise coordination. This device has the advantages of low precision requirements, high clamping stability, low implementation cost, convenient operation, and ease of promotion and implementation.

This invention relates to the field of silicon nitride etching technology, specifically a method for dry etching of silicon nitride using extremely low power, comprising the following steps: S1. Fixing the workpiece to be etched on the chuck of a plasma etching machine, closing the chamber, and evacuating to a chamber background pressure ≤2mTorr; S2. Introducing a composite etching gas into the chamber; S3. Starting a pulsed radio frequency power supply to excite the composite gas to generate plasma; S4. Adjusting various parameters of the chamber; S5. After etching is completed, evacuating the chamber, then introducing helium gas to purge the chamber until the chamber pressure returns to atmospheric pressure; S6. Introducing a mixed gas, ashing treatment, and then introducing H2 plasma to repair dangling bonds on the silicon nitride surface to complete the etching. This invention discloses a method for dry etching of silicon nitride using extremely low power, relating to the field of semiconductor manufacturing technology. This method, through the synergistic design of "precisely proportioned composite gas system + pulsed radio frequency excitation + multi-field coupling process control," achieves efficient, highly selective, and low-damage etching of silicon nitride layers at extremely low radio frequency power.

A method for strengthening methane in-situ combustion fracturing, liquid carbon dioxide is pressurized and heated to form supercritical carbon dioxide, which is then sent into the fracturing channel to form a complex fracture network around the fracturing channel; mixed fracturing fluid formed by mixing supercritical carbon dioxide and fly ash is injected into the well bottom; combustion-supporting agent is injected into the wellbore and mixed with the mixed fracturing fluid at the well bottom to enter the complex fracture network together, so that a multiphase mixed fluid is formed in the complex fracture network; the annulus valve is closed to promote mineralization reaction of supercritical carbon dioxide and fly ash under the temperature and pressure conditions of the reservoir, and to form high-strength minerals; the mineralization reaction is used to promote the desorption of methane in the reservoir and into the complex fracture network, so that methane-combustion-supporting agent mixed gas is formed in the complex fracture network; the combustion process is used to promote the dust cloud formed by the mixing of fly ash and gas in the complex fracture network, to strengthen the effect of methane in-situ combustion; and the fracturing reconstruction of all layers is completed. The fracturing effect of the method is ideal.

The utility model discloses a separated spray dust removal tower which comprises a tower body, a plurality of groups of spray pipes and spray heads, a sedimentation tank arranged at the bottom of the tower body, a spray pump communicated with the spray pipes, and spray isolation components arranged between the adjacent spray pipes. The spraying isolation assembly comprises an annular water collection tank, a water baffle arranged above the through hole, a water drainage pipe communicated with the water collection tank and a plurality of supporting pieces, the water collection tank is used for collecting spraying liquid on the upper layer, the water baffle is arranged above the through hole in a suspended mode and prevents the spraying liquid from directly dripping to the lower layer, and the water drainage pipe introduces the collected liquid into the sedimentation tank. By means of the structure, liquid physical isolation of different spraying intervals is achieved, meanwhile, vertical and smooth flowing of flue gas is kept, the dust removal efficiency is improved, interlayer interference is avoided, and the device has the advantages of being simple in structure, high in adaptability, stable in operation and the like and is suitable for various industrial flue gas treatment scenes.