31results about How to "Break dependencies" patented technology

The invention relates to a protocol fuzz testing method and system based on a long-life-cycle enumeration variable state. The method comprises the following steps: S1, a static enumeration declaration statement instrumentation analysis stage; s2, a short life cycle enumeration variable dynamic analysis stage; s3, a static assignment statement instrumentation analysis stage; and S4, a fuzzy test stage. The system comprises a static analysis module, a dynamic analysis module, a network IO module and a variation feedback module. According to the method, the source code of the protocol entity program to be tested is statically analyzed to capture distribution and use of enumeration type variables in the source code. State transition is represented by monitoring changes of enumeration variable value domains, and a corresponding state tree structure is constructed, so that stateful grey box fuzz testing is carried out on any protocol entity program to be tested under the condition that extra manual analysis is not needed.

The invention discloses a method and system for evaluating chloride ion diffusion in a concrete structure, and the method comprises the steps: carrying out a test of corroding concrete by chloride ions under a set working condition environment, and obtaining chloride ion concentrations under different erosion depths; the chloride ion diffusion coefficient under the test is solved by using the chloride ion concentrations under different erosion depths; performing expression fitting on the chloride ion diffusion coefficient under the test to obtain a chloride ion diffusion coefficient prediction model, and setting the chloride ion diffusion coefficient prediction model as a boundary condition to the neural network model; performing iterative output on the neural network model, and if the change of the output value of the neural network model between the mth time and the (m + 1) th time is smaller than a threshold value, setting the mth output value to a chloride ion diffusion coefficient prediction model to obtain an analyzed prediction model; and calculating to obtain the chloride ion diffusion coefficient under the actual working condition by using the analyzed prediction model. The degree of dependence on data can be reduced, and the prediction precision of the chloride ion diffusion coefficient is improved.

The invention discloses a deeply-curable zirconia-containing dental repair resin and a preparation method thereof.The preparation method comprises the steps that a double-bond-containing silane coupling agent is added into a zirconia dispersion liquid and a silicon dioxide dispersion liquid respectively, modification reaction is conducted in the stirring state, and a modified solution # imgabs0 # and a modified solution II are obtained; carrying out spray drying on the modified solution I and the modified solution II through a three-fluid spray head to obtain a zirconium oxide and silicon oxide nanocluster body; uniformly mixing and stirring the zirconium oxide and silicon oxide nanocluster with a methacrylate organic matrix and a photoinitiator; and carrying out light curing treatment on the mixture to obtain the zirconium oxide dental repair resin. The zirconium oxide dispersion liquid, the silicon dioxide dispersion liquid and the three-fluid spray head are matched, the mechanical performance is improved on the premise that the X-ray radiation resistance and the effective curing depth are guaranteed, the dependence of the industry on zinc oxide, barium oxide and strontium oxide is broken through, the problem that a zirconium oxide material cannot be deeply cured due to the high refractive index is solved, and the application prospect is good.

The invention provides kenaf whole stalk APMP pulp and a preparation method thereof.The preparation method comprises the specific steps that S1, air-dried kenaf whole stalks are cut into strips, washing and impurity removing are conducted, and a material a is obtained; s2, carrying out pre-steaming treatment on the material a, and extruding and defibering the steamed material to obtain a material b; s3, adding the material b into the pre-impregnation liquid for impregnation to form slurry, and performing centrifugal dewatering on the slurry until the concentration is 20-30wt% to obtain slurry a; s4, grinding the pulp a to form high-concentration ground pulp, adding the high-concentration ground pulp into the adjusting liquid a, bleaching, and centrifugally dewatering until the concentration is 20-30wt% to obtain pulp b; s5, the pulp b is added into the adjusting liquid b for second-stage bleaching and centrifugal dewatering till the concentration is 20-30 wt%, pulp c is formed, the pulp c is diluted and ground, cleaning and screening are conducted after grinding is completed, and the kenaf whole stalk APMP pulp is obtained. The kenaf whole stalk APMP pulp has good pulp characteristics, the dependence of traditional APMP pulping on wood is broken through, and the current situation that domestic pulping wood resources are deficient is relieved.

The application relates to a decentralized distributed production control method and system, and relates to the technical field of industrial automation and distributed systems. The method comprises the following steps: deploying a service management module on each physical entity to collect service state information; establishing a communication connection between the modules and exchanging state information in real time; constructing and maintaining a real-time service topology graph locally based on global information; when a network partition or an entity changes, automatically recombining the topology to form an independent subsystem according to reachability to maintain business operation; and when the network recovers or the entity reenters, automatically detecting and executing system merging to recover the complete topology. The application can effectively solve the problems of production control link breakage, business interruption and topology recovery difficulty in the prior art when the network is abnormal or the device changes, and improves the robustness and self-healing ability of the system.

The invention discloses a membrane channel biological pollution multi-physical field simulation method based on physical information deep learning, which comprises the following steps: acquiring sampling data, and mapping the sampling data into a biological membrane morphology characterization field which is continuously distributed along with space coordinates; constructing a deep neural network model, taking the space coordinates of the membrane channel as input, taking multi-physical field state variables in the membrane channel as output, and establishing a mapping relation from the space coordinates to physical fields; a composite loss function driven by physical information is constructed, the composite loss function comprises a physical equation residual error used for constraining a physical field to meet a preset physical conservation law and a boundary condition residual error item used for constraining a boundary condition, and physical field distribution output by the model is made to conform to a physical evolution law in a membrane channel and biological membrane pollution characteristics at the same time; inputting space coordinates of a to-be-predicted area into the trained deep neural network model to obtain full-field physical quantity distribution information in the polluted membrane channel; the quantitative digital basis is provided for the anti-pollution bionic separation net.

This application provides a testing method, apparatus, device, and storage medium for intelligent cockpit interaction functions, relating to the field of software testing technology. The method includes: receiving a test command sent by a user through an instant messaging tool on a mobile terminal; wherein the test command describes the test intent in natural language; performing semantic parsing on the test command to generate structured test parameters; wherein the structured test parameters include at least the intelligent cockpit interaction module to be tested and the corresponding test environment; testing the interaction module to be tested according to the structured test parameters to obtain test result data; and providing feedback of the test result data to the user through the instant messaging tool. This method aims to reduce environmental dependence, improve testing flexibility and convenience, and increase testing efficiency and coverage.

The present application relates to the technical field of detection circuit suitable for various electric energy information collection terminals, and discloses a detection circuit method suitable for various electric energy information collection terminals. The method sets the ambient temperature, calibrates the shunt resistor and the thermistor, constructs a three-order resistance-temperature mapping relationship, and calculates the thermal resistance and the thermal response characteristics to realize accurate modeling. The thermistor is attached to the shunt resistor and forms a thermal coupling structure by adding heat-conducting silicone grease. The constant current source and the differential amplifier are used to collect voltage, convert resistance value to temperature in real time, calculate the instantaneous current based on the heat balance equation, and then complete energy integration and grade judgment to output various electric parameters. The method integrates modeling, collection, conversion and inversion processes, constructs a complete thermal-electric detection link, does not need traditional current sensors, has the advantages of compact structure, low cost, flexible deployment and the like, and is suitable for low-power distributed terminals.

The application discloses a low-cost high-strength aluminum-lithium alloy for a space cabin body and a preparation method thereof, and belongs to the technical field of aluminum-lithium alloys.The aluminum-lithium alloy comprises the following components in mass fraction: 91.5-94.5 parts of aluminum, 3.9-4.2 parts of copper, 1.0-1.5 parts of lithium, 0.2-1.0 parts of magnesium, 0.2-0.4 parts of silver, 0.3-0.8 parts of zinc, 0.10-0.12 parts of zirconium and 0.15-0.25 parts of mixed rare earth; the mixed rare earth is a mixed rare earth of cerium and lanthanum, and the mass ratio of cerium to lanthanum is (1.5-2.5):1; the total mass of metal impurities in the aluminum-lithium alloy is not more than 0.15 parts, and the single metal impurity is not more than 0.05 parts; through multi-component micro-alloying design and a precise controllable thermal mechanical treatment process, the application solves the technical problems that the existing aluminum-lithium alloy is high in cost due to the dependence on high-content noble metals and is anisotropic in mechanical properties due to strong deformation texture, and provides an ideal material which is excellent in comprehensive performance and economically feasible for a space cabin structure.

This invention discloses an aroma fitter for fenugreek tincture based on key aroma components and synergistic aroma characteristics, and its applications. Based on analytical studies of the aroma components and aroma characteristics of high-quality fenugreek tincture, the aroma fitter identifies key aroma characteristics such as caramel sweetness, freshness, fruitiness, nutty aroma, roasting aroma, and sourness, and determines the contributing characteristic compounds and their synergistic proportions within each aroma characteristic. The composition contains key components such as acetic acid, trans-2-pentenal, propyl butyrate, phenethyl acetate, 2-hexanone, ethyl palmitate, benzaldehyde, 2,5-dimethylpyrazine, and 3-hydroxy-4,5-dimethyl-2(5H)furanone, which are precisely formulated to achieve a high degree of consistency with natural fenugreek tincture in aroma structure and olfactory characteristics. This invention not only provides a realistic and layered aroma fitter formulation but can also be applied to the food and daily chemical industries, providing stable and harmonious fenugreek characteristic aromas, thus possessing significant practical application value.

The invention relates to the technical field of semiconductor processing, in particular to a novel chip PAD metal layer removing method, which comprises the following process steps: S1, preparing a chip PAD top layer metal corrosion solution; s2, heating the solution, completely immersing the sample chip, and soaking at a constant temperature to remove top metal of a chip PAD; s3, heating the solution, and completely immersing the sample chip at a constant temperature for 25 minutes; s4, taking out the sample chip, cleaning the sample chip in purified water, and drying the sample chip; s5, preparing a chip PAD secondary top layer metal corrosion solution; s6, the chip PAD secondary top layer metal corrosion solution is heated, the sample chip is completely immersed at the constant temperature for 12 hours, and chip PAD secondary top layer metal is removed; s7, the sample chip is taken out and cleaned; and S8, taking out the sample chip and drying the sample chip to complete the removal of the PAD metal layer of the chip. According to the novel chip PAD metal layer removing method, chip layer removing can be achieved without expensive special equipment, the whole process is easy and convenient to operate, and the consumed time is short.

The invention provides a positioning method and device, equipment, a medium and a program product, the method is applied to target equipment to be positioned, and the method comprises the following steps: generating a broadcast message; the broadcast message is sent to an assistance device, so that the assistance device generates assistance positioning information according to the broadcast message and position information of the assistance device and uploads the assistance positioning information to a cloud server, and a tracking device obtains the assistance positioning information from the cloud server and sends the assistance positioning information to the assistance device. The position information in the assistant positioning information is used as the position information of the target equipment; wherein the target equipment, the tracking equipment and the assisting equipment can be connected to the same cloud server, the tracking equipment is used for positioning the target equipment, and short-distance communication is established between the assisting equipment and the target equipment. According to the invention, dependence of a positioning technology on equipment networking is broken through, and safety and reliability of equipment positioning are enhanced.

The application discloses an InDel molecular marker closely linked with the fruit peel color of Citrus sinensis and application thereof, and a nucleotide sequence of the InDel molecular marker is shown as SEQ ID No. 1. The application obtains a kit for identifying the fruit peel color of Citrus sinensis, and the kit is used for identifying red-skinned Citrus sinensis and yellow-skinned Citrus sinensis, and can overcome problems of long period and low efficiency caused by dependence on field fruit phenotype observation in traditional methods. By using the molecular marker diagnosis technology at the seedling stage, early screening of the fruit peel color trait can be realized at the seedling stage of the Citrus sinensis, the dependence on the fruit mature season is broken, and the breeding period is significantly shortened. The kit is simple in operation and low in cost, can be used for rapid screening and identification of target single plants in large-scale different Citrus sinensis germplasms or Citrus sinensis hybrid offspring populations, and greatly accelerates the breeding process of excellent fruit peel color Citrus sinensis germplasms.

This invention discloses an electrochemiluminescence microfluidic chip for the detection of multiple tumor markers, relating to the field of biodetection technology. It includes a substrate and a microfluidic channel system, an electrochemiluminescence detection unit, and a signal acquisition interface integrated on the substrate. The microfluidic channel system includes a sample inlet, a shunt structure, multiple parallel and equally spaced detection channels, and a waste liquid pool connected in sequence. The shunt structure includes a main channel and multiple branch channels integrally formed with the main channel. In this invention, the microfluidic channel system, the electrochemiluminescence detection unit, and the signal acquisition interface are integrated on the same substrate, achieving an integrated design for sample transmission, reaction, detection, and signal export. Compared to traditional distributed detection technologies, this significantly simplifies the detection operation steps, reduces the professional skills required of operators, and shortens the detection cycle, meeting the needs of rapid clinical diagnosis.

The invention relates to the technical field of vulnerability detection, and discloses a mixed text and code pre-training coding-based vulnerability detection method, which comprises the following steps of: coding an input code through a pre-trained CodeBERT model to obtain a code feature vector; encoding the input cue word through a pre-trained codeGPT model to obtain a cue word feature vector; after the code feature vector and the cue word feature vector are mapped to the same dimension, splicing is carried out, and a spliced feature vector is obtained; performing fine tuning on the large language model by using a low-rank adaptation method; and inputting the spliced feature vector into the fine-tuned large language model for reasoning to obtain a vulnerability detection result, namely whether the code has a corresponding vulnerability or not. According to the method, the advantages of the CodeBERT model and the codeGPT model are creatively combined, the codes and the prompt words are subjected to feature coding, and the deep structures of the codes and semantic information of the prompt words are effectively fused.

This invention belongs to the field of metal material rolling and processing technology, and relates to a production method of 4.5μm ultrathin low-pinhole capacitor aluminum foil, including the system integration of five stages: billet selection and pretreatment, graded rolling, special rolling oil system, online quality monitoring, and optimized annealing process. The billet uses 0.24mm cast-rolled billet of 1235 alloy, with thickness fluctuation ≤±2μm and inclusions <5ppm; the graded rolling adopts a three-stage strategy of roughing, intermediate rolling and finishing rolling, with a total reduction rate ≥98.1%; the finishing rolling stage adopts the differential thickness double-layer rolling technology, with two foils of target thickness of 4.5μm and 5.0μm stacked to form a gradient stress distribution, reducing edge stress by 40%; the rolling oil system uses short carbon chain C8-C12 ester additives, which are completely volatilized during annealing with zero residual carbon; the annealing adopts stepped heating and holding at 225±5℃ for 12-16h, with a recrystallization rate ≥95% and a 50% improvement in micropore healing efficiency. This invention enables stable mass production on domestically produced rolling mills, reduces costs, and has significant industrialization value.

This invention belongs to the field of insulated conductor technology, specifically disclosing a thermo-oxidative aging resistant overhead insulated conductor. The thermo-oxidative aging resistant overhead insulated conductor of this invention includes a conductor and an insulation layer covering the surface of the conductor. The insulation layer includes a thermo-oxidative protective layer, a transition layer, and a photo-oxidative protective layer, all coaxially arranged in contact. The thermo-oxidative protective layer comprises cross-linked polyethylene, a high molecular weight hindered phenolic heat stabilizer, and dilauryl thiodipropionate; the photo-oxidative protective layer comprises cross-linked polyethylene, an ultraviolet absorber, an initiator, and a hindered amine light stabilizer. Through a "high molecular weight + bonded" design, combined with the synergistic effect of nanofillers, the non-volatility, anti-leakage, and multifunctional protection of the antioxidant are achieved. Furthermore, the multi-layer structure design enables the directional distribution of the antioxidant, with priority protection against internal thermo-oxidative damage and priority blocking of external photo-oxidative damage, synergistically breaking the industry's reliance on homogeneous materials.

The invention relates to the technical field of power machinery, discloses a mechanical self-maintaining reinforcement prime mover, and solves the problems that a traditional power device depends on external energy and is high in energy consumption and complex in structure, and an existing mechanical power mechanism cannot continuously amplify power and cannot self-maintain circulating operation. A supporting rack is arranged, pulleys are fixedly installed on the two sides of the upper portion of the supporting rack, a steel rope is wound between the two pulleys, the left end of the steel rope is connected with a left-end balance weight load, the right end of the steel rope is connected with a right-end balance weight load, and a lever connecting rod is connected between the left-end balance weight load and the right-end balance weight load. Springs and the like are fixedly installed at the positions, corresponding to the lower portions of the left end balance weight load and the right end balance weight load, of the lower portion of the supporting rack. The device only needs initial small driving force, depends on gravity and elastic potential energy circulation and lever torque amplification to achieve self-sustaining operation, can output mechanical energy outwards, and is suitable for scenes of power generation, water pumping, mechanical driving and the like.

The embodiment of the application provides a tap changer Udi0 control and low-load reactive power optimization cooperative control method and related equipment in the technical field of direct current transmission. The method comprises the following steps: real-time monitoring of AC bus voltage, DC power and low-load reactive power optimization start signal; generating a low-load reactive power optimization enable signal according to the AC bus voltage and a preset threshold value to realize voltage self-adaptive switching; when the enable is valid and the DC power enters a low-load optimization interval, starting the low-load reactive power optimization function and reducing the DC voltage reference value; under the Udi0 control mode of the tap changer, dynamically adjusting the Udi0 reference value of the tap changer according to the reduced DC voltage reference value, and driving the tap changer to act to maintain the trigger angle and the arc extinction angle in a safe range. The application realizes safe cooperative operation in the Udi0 control mode, effectively reduces the action frequency of the tap changer, and enhances the reactive power balance and voltage stability of the system under the low-load working condition.

The invention discloses a cross-linked polyethylene submarine cable and oil-filled submarine cable transition joint and a repairing method, the cross-linked polyethylene submarine cable and oil-filled submarine cable transition joint comprises a connecting shell, the connecting shell is provided with an epoxy resin prefabricated body, a silicone rubber stress cone, an oil paper stress cone and a conductor connecting pipe, the epoxy resin prefabricated body is fixedly arranged in the connecting shell, and the silicone rubber stress cone is fixedly arranged in the conductor connecting pipe. The silicon rubber stress cone is located at one end of the epoxy resin prefabricated body, the oil paper stress cone is located at the other end of the epoxy resin prefabricated body, an epoxy bell-shaped opening is formed in the end, close to the oil paper stress cone, of the epoxy resin prefabricated body, and an oil way channel is formed in the epoxy bell-shaped opening. The center of the epoxy resin prefabricated body is provided with a conductor connecting pipe, and two ends of the conductor connecting pipe are respectively provided with a crosslinked polyethylene submarine cable interface and an oil-filled submarine cable interface. Through cooperation of the epoxy resin prefabricated body, the silicone rubber stress cone and the oil paper stress cone, dielectric constant transition of different insulating medium interfaces can be optimized, electric field distortion is reduced, the partial discharge risk is reduced, and the electrical insulation reliability is guaranteed.

This invention discloses a method, apparatus, device, and computer-readable storage medium for industrial defect visual detection based on hybrid meta-learning, belonging to the field of computer vision technology. The method includes: acquiring a target query image as input to a pre-set model; extracting target feature vectors using dedicated model parameters, and calculating their similarity score with a baseline feature vector in a feature cache to determine the defect category. Model construction includes: performing meta-training on a deep network to obtain meta-model parameters; self-supervised fine-tuning of the meta-model parameters based on a new task support set to obtain dedicated model parameters; and re-extracting support set features using the dedicated model parameters to generate a baseline feature vector and storing it in a cache. This invention effectively solves the problems of low detection accuracy and low deployment efficiency in scenarios with few samples and across different domains by combining meta-training with self-supervised fine-tuning and feature refresh mechanisms.

The invention discloses a centering clamping mechanism for bus machining and an automatic welding machine, and belongs to the technical field of automatic welding machines, the centering clamping mechanism comprises a platform, a welding area is arranged on the platform, two sets of pressing plates are symmetrically arranged on the two sides of the welding area respectively, and the two pressing plates are used for fixing a first bus to be welded and a second bus to be welded respectively; a positioning piece is arranged between the two pressing plates, a rotating shaft is fixedly connected to the side wall of the positioning piece, and the axis of the rotating shaft coincides with the center line of the welding area; a moving table is slidably mounted on the platform, a first driving part is fixedly mounted on the moving table, and the rotating shaft is rotatably mounted at the output end of the first driving part, so that the first driving part can drive the positioning part to ascend and descend, and the moving table can drive the positioning part to enter or leave the welding area; the positioning piece comprises a first positioning face which coincides with the axis of the rotating shaft. According to the centering clamping mechanism for bus machining and the automatic welding machine, the orientation of the positioning face can be changed through rotation, and the centering clamping mechanism adapts to two-way feeding.

The present invention belongs to the field of waterlogging monitoring, and discloses a low-altitude UAV waterlogging inspection method and system based on deep learning, the method comprising: obtaining remote sensing visible light images with high temporal and spatial resolution through a low-altitude UAV, and uploading the UAV data to the cloud using 5G communication technology; performing real-time identification and segmentation of waterlogging based on a deep learning automatic waterlogging recognition and analysis model of UAV waterlogging image segmentation, and realizing inspection of urban waterlogging information efficiently, accurately and quickly; combining UAV trajectory information and image edge feature splicing inspection area maps to segment waterlogged areas and draw and update the spatiotemporal distribution pattern of urban waterlogging, so as to provide technical support and basic data support for disaster reduction, prevention, emergency rescue and disaster assessment of urban waterlogging disasters.

This invention discloses a method, system, terminal, and medium for obtaining kinetic chain quantitative evaluation indicators. The method includes: synchronously acquiring inertial data of the limb holding the device and the device; detecting whether a video frame sequence synchronized with the inertial data is acquired; if the video frame sequence is acquired, performing multi-source fusion calculation based on the inertial data and the video frame sequence to obtain the kinetic chain quantitative evaluation indicator; if the video frame sequence is not acquired, performing inertial calculation based on the inertial data to obtain the kinetic chain quantitative evaluation indicator. This invention effectively overcomes the shortcomings of insufficient accuracy of a single vision solution under high-speed motion and the lack of global reference in a single inertial solution by adaptively switching between multi-source fusion and pure inertial dual-modal calculation strategies. It achieves accurate, robust, and convenient quantitative evaluation of kinetic chain transmission efficiency under different equipment configurations and environmental conditions.

The present application relates to the technical field of food packaging materials, in particular to a bimetallic nano-enzyme antibacterial master batch, a preparation method thereof, an antibacterial film and application thereof. Dimethyl imidazole, basic zinc carbonate, copper salt and epsilon-polylysine are used as raw materials for extrusion to obtain a bimetallic nano-enzyme antibacterial master batch, which is then mixed with resin for blown film to prepare an antibacterial film. The antibacterial film utilizes the characteristics of the low-coordination Cu(I) sites in the bimetallic nano-enzyme Cu-ZIF-8, i.e. ROS generation in the dark and structure collapse to release epsilon-polylysine and Cu and Zn ions in a slightly acidic environment, to achieve efficient antibacterial effect in the dark and long-term antibacterial effect for high-risk perishable food, solve the problems of poor antibacterial effect in the dark and insufficient pH adaptation of existing packaging materials, and the process is controllable and easy to industrialize.

The invention provides a positioning method and device, equipment, a medium and a program product, the method can be applied to target equipment to be positioned, and the method comprises the following steps: generating a public key, a private key and a hash value of the public key; uploading the public key and the hash value thereof to a cloud server, so that the assistance device obtains the public key based on the hash value; a broadcast message is sent to the assisting device, the broadcast message carries the hash value of the public key, so that the assisting device encrypts position information of the assisting device according to the public key, assisted positioning information including the encrypted position information is generated and uploaded to the cloud server, and the tracking device obtains the assisted positioning information from the cloud server and sends the assisted positioning information to the assisting device. Decrypting the encrypted position information by using a private key to obtain the position information of the target equipment; the target device, the tracking device and the assisting device can be connected with the same cloud server, the tracking device locates the target device, and the assisting device establishes short-distance communication with the target device. The method does not depend on the equipment networking capability, and the equipment positioning security is high.

This invention discloses a backdoor poisoning detection method for AI security testbeds that does not rely on clean data, relating to the field of artificial intelligence security technology. This method aims to solve the problems of existing poisoning detection methods relying on clean data, poor adaptability, and high computational complexity. It is primarily applied to general data cleaning and backdoor defense scenarios in AI security testbeds. The core steps include: employing an adaptive threshold control training strategy; after training for x rounds, processing sample loss in intervals; updating the loss with reverse gradient growth when the loss is above the threshold n, and setting the loss to 0 when the loss is below the threshold m; truncating and normalizing the early loss trajectory from the initial training to x rounds; extracting low-dimensional features using an LSTM-Attention-CNN hybrid model; converting the time-domain features into spectral-domain features using discrete cosine transform; and using DBSCAN density clustering + random forest classification to achieve poisoning sample detection and purification.

The application discloses a shield large data scalable warehousing and processing method, comprising the following steps: based on the multivariate heterogeneous data stream collected on the shield construction site, effective tunneling data in the tunneling stage is extracted; the statistical baseline corresponding to the ring number where the effective tunneling data is located is acquired, and the effective tunneling data is dynamically tolerance detected and the abnormal value is eliminated according to the statistical baseline, so that the cleaned time series data is obtained; the expected data amount of the current ring is calculated based on the ring boundary moment determined by the multivariate heterogeneous data stream, and the data coverage of each physical parameter is calculated in combination with the actual effective data amount of the cleaned time series data; the completeness score of the current ring containing a short board penalty term is calculated; when the preconfigured hierarchical trigger threshold is satisfied, the cleaned time series data is input into a preset construction analysis algorithm model, and a construction state analysis result is obtained. The application breaks the dependence on discrete hardware signals, suppresses the high-frequency jitter of the working condition state, and effectively prevents the false deletion of the physical mutation data of the stratum transition section.

The invention provides a big data analysis method and device supporting SAS language analysis and execution and application, a keyword segment in a to-be-operated SAS code is recognized, word segmentation processing is performed according to the keyword segment to obtain a word segmentation result, for a macro code field in the word segmentation result, an mac field is stored in a system mac library, a user-defined field is stored in a user-defined mac library, and the user-defined field is stored in a user-defined mac library. Wherein for macro variables in word segmentation results, the macro variables are stored in a system macro variable library, self-defined local variables are stored in a self-defined macro variable library, and the word segmentation results are gradually put into a pre-operation code pool according to the code sequence of SAS codes to be operated; the codes in the to-be-run code pool are segmented sentence by sentence according to the scores to obtain single-sentence codes to be executed, and analysis and execution of SAS are achieved on the premise of not depending on SAS software.

The invention relates to the field of loudspeakers, in particular to an inductance type loudspeaker and audio equipment, which comprises a loudspeaker bracket, drum paper, a dustproof cap, a voice coil, a damper, a wiring terminal, a lead and a magnetic field driving device. Wherein the cone paper is attached to the loudspeaker support, the magnetic field driving device is assembled at the bottom of the loudspeaker support, the damper is fixed on the inner side of the loudspeaker support, the upper portion of the voice coil is fixedly connected with the cone paper and the damper, the magnetic field driving device comprises an inductance device, a washer and an iron body, the washer and the inductance device are assembled with the iron body, and the damper is fixed on the inner side of the loudspeaker support. Therefore, the magnetic field drive of the loudspeaker is formed. And a winding part at the lower part of the voice coil is arranged in a magnetic field driving gap of the magnetic field driver. According to the inductance type loudspeaker, the inductance device is used for generating magnetic field force instead of a magnet which a traditional electrodynamic loudspeaker depends on, so that the problem that the traditional loudspeaker depends on the magnet can be solved, and the requirement for the magnet is reduced.