84results about How to "Lower quality requirements" patented technology

The invention belongs to the technical field of coking product extraction and organic separation, and particularly relates to a method for refining 2, 3, 5-tricresol and 3-methyl-5-ethyl phenol from a tricresol mixture. According to the method for refining the 2, 3, 5-tricresol and the 3-methyl-5-ethyl phenol from the tricresol mixture, the tricresol mixture is rectified to obtain the mixed tricresol, the mixed tricresol and the isobutene are subjected to the tert-butylation reaction under the action of the catalyst, and due to the fact that the 2, 3, 5-tricresol and the 3-methyl-5-ethyl phenol do not react with the isobutene, the 2, 3, 5-tricresol and the 3-methyl-5-ethyl phenol are not reacted with the isobutene. The method comprises the following steps: taking 2, 3, 5-trimethylphenol as a raw material, reacting other phenols with isobutene to generate corresponding tert-butyl phenol, boiling point of a tert-butyl product is obviously higher than that of 2, 3, 5-trimethylphenol and 3-methyl-5-ethyl phenol, performing rectification to obtain a 3-ethyl-5-cresol crude product and a 2, 3, 5-trimethylphenol crude product, and performing solvent refining and melt crystallization to obtain 3-ethyl-5-cresol of which the content is greater than or equal to 99% and 2, 3, 5-trimethylphenol of which the content is greater than or equal to 99%.

The invention discloses a sales volume prediction method based on second-order cross multiple linear regression and a terminal. The method comprises the following steps: dividing obtained historical sales data into a training set and a test set; obtaining a to-be-adjusted value in the training set and a default value corresponding to the to-be-adjusted value; calculating a target tensor corresponding to the test set, and generating a mask at the position of a default value unequal to the target tensor; and training the initial second-order cross multiple linear regression model according to the training set to obtain a target second-order cross multiple linear regression model, and ignoring the mask when a loss function is calculated. According to the method, the data with masks are ignored when the loss function is calculated in the iteration process of the model, so that the quality requirement on the original training data is reduced, the high-error part in the original training data is automatically ignored in the iteration process of the model, the influence of the low-quality part in the original training data on the model training is reduced, and the training efficiency is improved. The prediction precision of the model is improved under the condition that the original training data quality cannot be further improved.

The invention discloses a blasting vibration monitoring data processing method based on a neural network and kernel ridge regression, and relates to the technical field of engineering blasting. In order to solve the problem that a test result is inaccurate due to movement of a blasting source in on-line monitoring of field blasting vibration, a kernel ridge regression prediction model and a BP neural network are combined together, and a blasting vibration on-line monitoring data processing method based on the BP neural network and kernel ridge regression BP-KRR is provided. The method is used for correcting mine field blasting vibration online monitoring data. According to the method, a large amount of vibration data is generated as a data set of a training model by carrying out an impact test in a laboratory, model parameters are corrected, and blasting vibration waveform data are trained and corrected based on an artificial neural network BP model and a kernel ridge regression model, so that a correction model about distortion data caused by sensor azimuth change is obtained; the model can improve the on-site use flexibility of the blasting vibration meter and greatly improve the practical application capability of the blasting vibration meter.

The embodiment of the invention provides a data processing method, electronic equipment, a computer storage medium and a program product. The data processing method comprises the steps of obtaining to-be-processed input data; performing intention recognition and query rewriting on the input data through a first model to obtain task data of the target task; wherein the first model is obtained by performing fine tuning training on a first generative basic model according to training data; and according to the task data of the target task, calling the tool set or calling the second generative basic model for processing to obtain output data of the target task. The first model has the generalization ability of performing intention recognition and query rewriting on natural language data, and also has the ability of processing user input data in a specific application scene. The target task is accurately identified through the first model, and the output data of the target task can be obtained through the tool set in the application scene or the universal second generative basic model, so that the user task is efficiently completed.

The invention discloses a method for diversified utilization of steel slag resources, and belongs to the technical field of metallurgical resource reutilization. According to the method, acid leaching separation and precipitation are carried out on the steel slag, different precipitation products are obtained by sequentially changing lixivium, and different elements of the converter steel slag are effectively separated. The utilization rate of the steel slag is greatly increased, and the phenomenon of resource waste is effectively avoided.

The invention relates to an ultrafast laser pulse welding system and method. The ultra-fast laser pulse welding system comprises a laser source, a first structure light field welding device and a second structure light field welding device, the space shaping module is configured to convert the first structured light field laser pulse into a second structured light field laser pulse; and the scanning galvanometer is configured to adjust the emitting direction of the second structured light field laser pulses so as to utilize the second structured light field laser pulses with the same parameters to conduct repeated scanning on the interface of the first material and the second material according to the planned welding track, enabling the first material and the second material to at least reach an optical contact condition through at least one scanning performed in advance; and the first material and the second material are fused through at least one scanning performed later so as to generate a welding point in a preset shape. The method is high in welding quality, can be applied to precise bonding of electronic components and the like, and is suitable for industrialization.

An intelligent compensation method for coupling errors of a dynamic gravimeter comprises the following steps: selecting typical environment interference influencing the dynamic gravimeter in a complex measurement environment, and analyzing an influence mechanism of each typical environment interference on the measurement accuracy of the dynamic gravimeter; according to the influence mechanism under each typical environment interference, analyzing a coupling error influence mechanism between the typical environment interferences; based on the coupling error influence mechanism, constructing a coupling error comprehensive compensation model; adding the coupling effect loss into a data-driven loss function, and defining a model coefficient constrained by physical information; and performing model training by using the training data, and calculating the total loss of the verification set on the obtained model to obtain a final coupling error comprehensive compensation model. According to the invention, the coupling error of the dynamic gravimeter in a complex environment is compensated based on coupling error mechanism analysis and a physical constraint long-short-term memory model, and the measurement precision and environmental adaptability of the dynamic gravimeter under complex multi-factor interference conditions are improved.

The invention discloses a desulfurization, denitrification and dust removal integrated device which comprises a tower front flue, a desulfurization reaction tower, a communication flue, a ceramic filter tube dust remover, a tail discharge flue and an induced draft fan which are sequentially connected according to a flue gas treatment process, wherein the induced draft fan is mounted on the tail discharge flue and is used for leading out and discharging flue gas; an ammonia spraying device and a desulfurizing agent feeding device are sequentially connected to the tower front flue from front to back in the flue gas advancing direction; the ash discharging end of the ceramic filter tube dust remover is connected with a fluidization chute device; the ash outlet end of the fluidization chute device is respectively connected with a circulating humidifying device and a waste ash conveying and storing device; wherein the discharge end of the circulating humidifying device is communicated with the desulfurization reaction tower, and the circulating humidifying device is provided with a process water adjusting and spraying device for humidifying circulating ash in the circulating humidifying device. According to the method, various pollutants can be efficiently and synchronously removed, and the problems that the requirement for the quality of a desulfurizing agent is high, the calcium-sulfur ratio is high, and the desulfurizing efficiency and the utilization rate of the desulfurizing agent are low are effectively solved.

This disclosure provides a data acquisition method and system based on a low-code development platform, belonging to computer system programming technology. The solution includes: embedding a data connector in the low-code development platform, wherein the data connector is used to connect the low-code development platform with various databases; when developing a page through the low-code development platform, the page component binds to a data model, configures event actions to call methods on the data model, and acquires data through the data connector bound to the data model; wherein the data model is an abstraction at the data structure level, including data structure, data operations, and data constraints.

The present invention belongs to the field of automobile production line production, hot melt adhesive pressing and pasting fully automated operation technology, and discloses an automatic timing device, method, equipment and application for pressing hot melt adhesive into the sunroof air outlet. The automatic timing method for pressing hot melt adhesive into the sunroof air outlet includes: installing the air outlet to a designated position, instructing different buttons to start different groups of cylinders, and pressing the sandbags into the air outlet from top to bottom after reaching the designated position; when all the sandbags are pressed to the designated position, the switch is triggered, and all the pressed sandbags return to their positions at the same time after the device starts timing. The present invention saves costs: using its own resources, independent research and development, and independent transformation (reducing construction costs and maintenance costs). The present invention saves time: it saves the operator's quality requirement of 20 seconds of waiting time for pressing the sandbags; the present invention improves safety: it completely eliminates the occupational disease of wrist pain caused by pressing the air outlet; it eliminates the harm to the operator caused by the slipping of sandbags.

The present invention discloses a camera extrinsic calibration method, device and system in a vehicle-mounted mobile measurement system. The method comprises: matching the same-name elements of point cloud data and image data to obtain a same-name element combination, aligning the element points included in the same-name element pairs in the two images to obtain the same-name element point pairs; for the same-name element point pairs in the same-name element pairs, according to the set posture of the camera relative to the inertial navigation and the posture of the inertial navigation in the world coordinate system when shooting the image, the first element point is back-projected into the point cloud data to obtain the back-projection point, the back-projection point is projected onto the image where the second element point is located to obtain the projection point, and the ratio of the so-called area of ​​the second element point to the so-called area of ​​the projection point is determined; it is judged whether the average value of the ratio is lower than the error threshold; if not, the set posture is changed until it is judged to be yes, and the current set posture is used as the calibration result of the camera extrinsic parameters. It can realize the automatic calibration of the camera extrinsic parameters in the vehicle-mounted mobile measurement system, and the calibration accuracy is high.

The invention provides ionic liquid, a preparation method and application thereof and hydraulic support liquid, and relates to the technical field of hydraulic liquid. The ionic liquid provided by the invention is environment-friendly, can be uniformly dispersed in water to form the hydraulic support liquid, and forms a high-strength physical adsorption film with metal on a friction surface, so that the extreme pressure anti-wear performance of the hydraulic support liquid is improved, the antifriction effect is improved, and the anti-corrosion performance of the hydraulic support liquid can also be remarkably improved by the ionic liquid. And on the other hand, the hydraulic support liquid provided by the invention has low requirements on the quality of water, can be suitable for regions with higher hard water grades, and is wide in application range.

The present invention discloses an electro-hydraulic control system for an electric push rod of a hydraulic support, comprising an electric handle, a remote controller, a controller and a main and standby power supply, wherein one end of the electric handle is connected to and installed with the controller, one end of the controller is connected to and installed with the main and standby power supply, and a remote controller is arranged on the outside of the controller; a remote controller transceiver is installed inside the controller, and the remote controller transceiver is connected with the remote controller through signals; the electro-hydraulic control system for the electric push rod of the hydraulic support retains traditional components and can realize remote control of the electro-hydraulic control; when in use, the controller is powered by the main and standby power supply, the controller is associated with the electric handle, and the purpose of electro-hydraulic control of the support can be achieved through control of the remote controller, the operation is convenient, and remote control of the electro-hydraulic control can be realized; and the electric handle has relatively low requirements on the quality of the emulsion, which can reduce the cost; and after damage, only the electric handle of the reversing valve needs to be partially replaced, and the maintenance cost is low.

The utility model relates to the technical field of vertical tail docks, in particular to a movable vertical tail dock for aircraft maintenance, the number of platform parts is two, the two platform parts are both arranged on the front side face of a vertical tail part, each platform part comprises a cantilever part, a lifting frame and a cantilever frame, the lifting frame is connected with the vertical tail part in a sliding mode, and the cantilever frame is arranged on the front side face of the lifting frame in a sliding mode. The cantilever part is fixedly arranged at the top of the cantilever frame; when the cantilever support slides outwards along the lifting frame, the two cantilever parts move outwards, the distance between the cantilever parts becomes large, when the cantilever support slides inwards along the lifting frame, the distance between the cantilever parts becomes small, the movable lifting type vertical tail dock is adopted, the dock only needs to be dragged to an airplane parking position for use, and a fixed tail dock parking position does not need to be occupied. The cantilever part can be lifted, opened and closed, is simple to lean against a machine and directly reaches a maintenance part, and can simultaneously maintain two sides of the vertical tail by multiple persons, thereby shortening the maintenance time. And personnel do not need a special equipment operation certificate, so that the quality requirement of the personnel is reduced.

The invention relates to molecular markers of wheat grain development genes TaEND1 and KASP and application of the molecular markers. According to the invention, a new gene TaEND1 related to wheat grain development is excavated, and time and cost are saved in breeding and breeding by developing molecular markers. The KASP molecular marker is developed for the wheat grain development defect gene TaEND1, so that the genotyping efficiency, accuracy and economical efficiency are improved, and the KASP molecular marker has remarkable advantages in operation simplicity and convenience and result acquisition speed. Compared with the prior art, the KASP technology is more suitable for large-scale screening and marker-assisted selective breeding, and is helpful for accelerating the research progress of wheat grain development genes and the development of new varieties. Due to the beneficial effects, the KASP technology becomes an indispensable tool in modern wheat breeding.

The application discloses a kind of weakly supervised image semantic understanding methods based on multi-task learning, comprising the following steps: obtaining task missing image, constructing multi-level task sharing encoder, extracting high-level semantic information layer by layer, input corresponding decoder branch;Construct public space-task space feature mapping module, through the unaligned task fusion module and task interaction mapping module, update each subtask feature by mapping;Task adaptive feature update module is constructed, and multi-level iterative update unaligned task feature;Task adaptive weakly supervised image semantic understanding framework is constructed, model loss function is established, image data with task missing is input into model, and obtains multi-task prediction result such as semantic segmentation, depth estimation, surface normal estimation.The application is according to the data information of task label unaligned, through the mapping interaction of public space and task space, fully fuses unaligned task feature, iteratively generates high-quality multi-task prediction result, can effectively handle weakly supervised problem with task missing, and simultaneously improves each task prediction accuracy.

The invention provides a building cooling and heating load prediction method based on a generative adversarial network. The method comprises the following steps: constructing a cooling and heating load prediction model and an indoor temperature judgment model; the indoor temperature judgment model can obtain an indoor predicted temperature by taking a mixture of cooling and heating load real data and cooling and heating load prediction data output by the cooling and heating load prediction model as input; based on a generative adversarial network, alternately training the two models to obtain a target cooling and heating load prediction model; the indoor temperature judgment model judges whether the input cooling and heating load data is true or false by judging whether the output indoor predicted temperature and the indoor true temperature are true or false, and then model parameters are optimized; and predicting the cooling and heating load of the building according to the target cooling and heating load prediction model to obtain a cooling and heating load prediction value of the building. According to the invention, the accuracy and convenience of building cooling and heating load prediction are improved, and continuous evolution and updating can be realized through data accumulation.

The invention relates to the technical field of generative artificial intelligence, and discloses an image drawing system and method based on a big data and artificial intelligence generation system technology, and the image drawing method based on the big data and artificial intelligence generation system technology comprises the steps: collecting the condition constraint information of image drawing of a user; inputting the condition constraint information into an image drawing environment to obtain more than one initial image; obtaining a visual object according to the condition constraint information and the initial image, and constructing an object relationship for the visual object; inputting the visual object and the object relation of the visual object into a knowledge guiding model, and outputting a specialized image by the knowledge guiding model; according to the method, the structured knowledge expressing the short-term tendency of the user can be constructed according to the constraint information input by the user, and the generated image of the universal image generation model is regulated and controlled through learning of the structured knowledge to obtain the image meeting the short-term tendency of the user.

The invention provides a power distribution network topology identification method considering feeder flexible interconnection, and the method comprises the steps: constructing a two-stage topology identification frame, and taking a historical data identification stage as a first stage; a real-time identification stage is regarded as a second stage; after topology recognition operation is executed by adopting an improved expectation maximization algorithm, determining a topology category, adding the topology category into an original record, and generating historical mark data; in the second stage, all the historical marked data obtained in the first stage are adopted for machine learning training to generate a plurality of topological classifiers, the trained classifiers are used for marking real-time measurement, credibility analysis is carried out, and credible marked data are obtained; and according to a result of credibility analysis, sending credible labeled data to a historical labeled database to update machine learning training of a classifier, and re-identifying unreliable data by adopting a Bayesian recursion model. According to the method, the observability of the flexible medium-voltage power distribution network topology is improved.

The invention belongs to the technical field of agricultural machinery, and relates to a seed potato dicing and arranging device which comprises a rack, a Z-shaped belt conveyor and an image recognition device. A first parallel mechanical arm and a second parallel mechanical arm are installed on the machine frame, blades are installed at the bottom ends of the first parallel mechanical arm and the second parallel mechanical arm, and the first parallel mechanical arm and the second parallel mechanical arm are used for cutting potatoes on the lower horizontal section conveying face of the Z-shaped belt conveyor and potato blocks on the upper horizontal section conveying face of the Z-shaped belt conveyor respectively. The image recognition device is used for recognizing potato bud eyes conveyed by the lower horizontal section conveying face and the upper horizontal section conveying face and controlling the first parallel manipulator and the second parallel manipulator to act. According to the device, the image recognition difficulty can be reduced by adopting plane projection to recognize the bud eyes, the equipment cost can be saved, the parallel manipulator is adopted to move in the plane at a high speed for cutting, rapid cutting is realized, cutting is performed again after secondary posture placement based on the potato block cutting surface, and the cutting efficiency and accuracy can be improved.

The utility model provides a pile film bag earth and rock cofferdam suitable for a high-permeable foundation. The pile film bag earth and rock cofferdam comprises a high-strength woven bag filled earth and rock cofferdam body, a high-strength composite geomembrane bagged earth and rock slope protection and anti-seepage blanket, a geomembrane anti-seepage inclined wall, an earth and rock filling cofferdam body, a high-strength composite geomembrane bagged earth and rock slope protection, a cofferdam crest mud stone pavement, a permeable layer and the like. The upstream upstream face adopts a double-insurance combination form of a high-strength composite geomembrane bagged soil and stone anti-seepage blanket, a high-strength composite geomembrane bagged soil and stone slope protection and a geomembrane anti-seepage inclined wall, and the good water retaining, anti-seepage, anti-impact and anti-frost heaving effects are achieved. And meanwhile, the foundation adopts the steel sheet pile anti-seepage core wall, so that the foundation seepage stability problem of the cofferdam constructed on the high-permeability foundation can be effectively solved. The anti-seepage structure can be applied to various wading engineering construction scenes and has the advantages of guaranteeing the anti-seepage effect, being safe in structure, saving investment, shortening the construction period, being environment-friendly and the like.

The invention provides a blood specific methylation site detection primer group, a kit and a blood trace identification method, and belongs to the technical field of molecular biological identification. The problems that in the prior art, a blood trace identification method is poor in specificity and insufficient in sensitivity, has high requirements for sample quality and quantity and cannot be compatible with subsequent DNA detection are solved. The requirements for the number and quality of body fluid detection materials can be remarkably reduced, the method can be well compatible with subsequent DNA detection, detection does not depend on a single source or a large number of samples any more, and the high stability, accuracy, sensitivity and specificity of the method enable the blood identification result to be reliable. Meanwhile, the method does not depend on a PCR instrument or complex laboratory equipment, so that professional requirements on instruments and operators are reduced. The whole detection process can be completed in a short time, the method has important significance in forensic on-site rapid identification, the case processing efficiency can be improved, and the cost is reduced.

The utility model relates to the technical field of gear detection, and discloses a gear center distance detection mechanism which comprises a main body bearing assembly, an up-down driving assembly, a rotating assembly, a pressing assembly, a measuring assembly and a test product, the main body bearing assembly comprises a base, and a computer is fixedly installed on the outer surface of the upper side of a supporting plate. A detection sensor is fixedly installed on the outer surface of the lower side of the base, blind rivets are arranged on the outer surface of the lower side of the base and located on the two sides of the detection sensor, and gaskets are fixedly installed at the four corners, away from the sensor, of the outer surface of the lower side of the base. According to the gear center distance detection mechanism, the sensor is automatically, indirectly and ingeniously connected to the test workpiece through the elastic body, the center distance, full tooth jump and single tooth jump during gear meshing can be automatically measured, the position of the collected sensor is fixed, collected data can be automatically stored through a computer, and fool operation is achieved; the requirement on the quality of an operator is low, and the workload of the operator is simplified.

The invention discloses a refining method, an alkali refining device and a refining system for castor oil, and belongs to the technical field of castor oil processing. The method includes alkali refining, decolorization and deodorization. Before alkali refining, oil residue is removed by filter pressing, and the filter pressing temperature is 82-86°C; sampling is performed at 50-60°C and the acid value is detected, and then the alkali refining process is performed; if the acid value is less than 4, the alkali refining process includes: heating the oil to 40-50°C, adding 70-80wt% phosphoric acid and spraying a sodium hydroxide solution with a concentration of 3-6wt on the oil surface for 12-18 minutes according to the acid value, stirring while spraying, continuing to stir for 10-15 minutes after spraying, then heating to 50-55°C, standing for 10-15 minutes, then heating to 60-65°C and centrifuging, and finally sending to the decolorization process; if the acid level is greater than or equal to 4, the alkali refining process includes soap removal, salt water washing, pure water washing, upper oil washing and dehydration.

The present invention relates to a high-speed glue core automatic line, including a glue core conveying mechanism, a lower lead core slot plate material coating mechanism, a lead core feeding mechanism and an upper lead core slot plate material coating mechanism. The glue core conveying mechanism is provided with an adsorption component, and the adsorption component receives and adsorbs the lower lead core slot plates one by one onto the conveying plane of the glue core conveying mechanism; the lead core feeding mechanism is arranged above the lead core placement area of ​​the glue core conveying mechanism, and a lead core screening conveying mechanism is arranged above the lead core feeding mechanism; the glue core conveying mechanism is provided with a pressing component located above the output end of the upper lead core slot plate material coating mechanism, and the pressing component presses down the upper lead core slot plates one by one, so that the upper lead core slot plates are glued with the lower lead core slot plates conveyed thereto. The present invention has a compact structure, smooth connection between the mechanisms, and a small conveying span, which improves product stability and yield, effectively reduces the quality requirements for the lead core slot plates, and can be applied to glue core operations of lead core slot plates of various qualities.

The invention relates to a core-sheath type composite monofilament fiber, a core layer and a sheath layer of the core-sheath type composite monofilament fiber are made of regenerated raw materials obtained through physical recovery, the core layer comprises polyester macromolecules from textile waste, and the sheath layer comprises regenerated polyethylene glycol terephthalate (rPET). According to the monofilament fiber, raw materials obtained through chemical recovery are not used, the impact on the environment and the cost can be reduced to the minimum, the quality and the physical performance of the monofilament fiber can be better than those of original materials of recovered textiles, and therefore the same-level recovery of the textiles is achieved. The invention also relates to a method for manufacturing the core-sheath composite monofilament fiber.

The present invention discloses a camera extrinsic calibration method, device and system in a vehicle-mounted mobile measurement system. The method comprises: matching the same-name elements of at least two images in the point cloud data and the image data to obtain a same-name element combination, and matching the same-name element point pairs included in each image from the same-name element combination; for the same-name element point pairs, according to the set posture of the camera relative to the inertial navigation and the posture of the inertial navigation in the world coordinate system when shooting the image, the first element point is back-projected into the point cloud data to obtain the back-projection point, and the back-projection point is projected onto the image where the second element point is located to obtain the projection point, and the distance between the projection point and the second element point is determined; it is determined whether the average value of the distance is lower than the error threshold; if not, the set posture is changed according to the preset rules until the average value is lower than the error threshold, and the current set posture is used as the calibration result of the camera extrinsic parameter. It can realize the automatic calibration of the camera extrinsic parameters in the vehicle-mounted mobile measurement system, and the calibration accuracy is high.

The invention discloses a blood vessel subtraction image generation method and device, medical imaging equipment and a storage medium. The method comprises the following steps: firstly, acquiring a target angiography image and a preliminary matching mask image matched with the motion law of the target angiography image; then, processing is carried out according to the preliminary matching mask image, and a target matching mask image with the background tending to be the same as that of the target angiography image is obtained; and finally, generating a blood vessel subtraction image corresponding to the target angiography image based on the target matching mask image and the target angiography image. By acquiring the preliminary matching mask image matched with the motion law of the target angiography image, the conditions of low frame rate acquisition or dysphoria of a patient and the like can be better handled. The blood vessel subtraction image corresponding to the target angiography image is generated based on the target matching mask image with the background tending to be the same as that of the target angiography image and the target angiography image, background interference in the target angiography image can be better eliminated, and therefore the quality of the blood vessel subtraction image is improved.

The present invention discloses an on-board power supply control system for powering airport aircraft, comprising an inverter module, a dual-output DC-DC module, a rectifier module, an energy storage module, and a control module. The control module is connected to the energy storage module, the rectifier module, and the dual-output DC-DC module. The dual-output DC-DC module is connected to the inverter module. The control module comprises a detection unit, an adjustment unit, and a first control unit. The detection unit is used to detect the cable type and connection status of the on-board power supply and based on this, feed back an AC or DC power demand signal to the adjustment unit. The adjustment unit is used to set the DC power supply specification and feed back an adjustment signal to the dual-output DC-DC module. The first control unit feeds back a switching signal to the adjustment unit and automatically resets the test time based on the set test time and whether a verification pass signal is obtained within the test time.

This invention relates to a method for non-explosive pyrolysis to enhance coal permeability and implement forced roof caving, belonging to the field of coal mine safety technology. The method involves injecting a pyrolysis agent into a borehole, which reacts, solidifies, and expands, generating expansion pressure that causes the coal or rock mass to crack, forming numerous secondary fractures. This improves the permeability of the coal or reduces the strength of the roof strata. Application scenarios include permeability enhancement of inclined coal seams, and permeability enhancement and forced roof caving of near-horizontal or horizontal coal seams. This invention utilizes the property of the pyrolysis agent itself—reaction, solidification, and expansion—to create secondary fractures in the coal (rock) mass, significantly improving coal permeability or reducing rock strength. It involves minimal electromechanical equipment and offers significant technical and economic benefits. For coal permeability enhancement operations in longwall mining faces, it strictly distinguishes between inclined, gently inclined, or near-horizontal coal seams, and differentiates the arrangement of process boreholes and gas drainage boreholes. The engineering workload is low, eliminating the need for blasting operations, and safety is extremely high.