196results about How to "Solve pain points" patented technology

The invention provides a method for generating a self-supervised learning contract template based on a trade system platform, and aims to automatically generate and continuously optimize a personalized contract template by using a self-supervised learning technology and a Transform model. The method comprises the following steps: extracting unlabeled data through a historical contract data input module; utilizing a self-supervised learning module to identify the relevance of contract terms; modeling a long-term and short-term dependency relationship of the contract text through a multi-head self-attention mechanism of a Transform model; and generating a high-dimensional semantic embedding representation of the contract terms, and automatically generating a personalized contract template based on the high-dimensional semantic embedding representation. The system continuously optimizes a generation rule through historical data and real-time service feedback, and dynamically adjusts the priority and content sorting of contract terms. According to the method, the contract generation efficiency and accuracy are improved, the dependence on manual labeling is reduced, the method is suitable for the iron and steel industry and other large-scale contract management scenes, the contract template can be flexibly adjusted according to market changes and business requirements, and the individuation and adaptability of the contract are remarkably enhanced.

The invention discloses a power supply platform, and relates to the technical field of ship design, the power supply platform comprises a platform main body, the bottom of the platform main body is connected with a plurality of pile legs for supporting the platform main body, and the plurality of pile legs are used for fixing the platform main body; the plurality of container power supplies are arranged at the top of the platform main body; the crane is arranged on the edge of the top of the platform main body; and if the container power supply of the electric ship is replaced, the crane moves the container power supply to be charged on the electric ship to the platform main body, and the full-electricity container power supply on the platform main body is movably mounted on the electric ship. According to the invention, power supply of the electric ship on a river and a coastal route can be realized, the problem of insufficient wharf matching is solved, and a solid guarantee is provided for operation of the battery replacement type electric ship.

The invention relates to a woolen sweater defect detection method. The method is characterized by comprising the following four main steps: a data preprocessing step, a model construction step, a model training step and a defect detection step. Wherein in the model construction step, strategies such as an attention mechanism and a network structure optimization are introduced, so that the identification capability of the model on woolen sweater defects is improved; in the detection process, automatic positioning and classification of defect areas are realized through a series of key functions. The method is high in detection efficiency, low in comprehensive detection cost and high in detection accuracy.

The invention relates to a hard rock tunneling and supporting miner-bolter, which belongs to the technical field of miner-bolter, and comprises a machine body erected on a crawler belt, the middle part of the machine body is provided with a miner-bolter mechanism for crushing and tunneling hard rock, the machine body is provided with a flow guide mechanism and a conveying belt for discharging broken stones, and the top is provided with a supporting mechanism for providing temporary support; the digging and anchoring mechanism comprises a cap-shaped rotating frame, the levelness is adjusted through a first oil cylinder, the front portion of the rotating frame is connected with a pitching frame, and a second oil cylinder is used for adjusting the pitching angle. A rotating shaft is arranged on the pitching frame, a tunneling head is connected into the rotating shaft, stone jacking hammers are symmetrically arranged on the two sides of the tunneling head, and the supporting mechanism is a rock crushing cone and provided with a rotatable conical protruding part. A gravel separating disc is arranged at the rear part of the rock crushing cone, grinding balls are uniformly distributed on the gravel separating disc, and the gravel separating disc can vertically move for grinding and guiding small gravels; by means of innovative structural design and function integration, various pain points in a traditional bolter miner supporting technology are solved, and the efficiency and safety of hard rock tunnel tunneling and supporting are greatly improved.

The utility model relates to the field of universal adjustable dies, in particular to a universal adjustable die for a sewing machine. The technical problems that a cardboard is easily damaged due to the fact that a cardboard structure is carved by a manual knife in most universal adjustable dies, large errors exist in manual carving, and scraped products are easily generated are solved. According to the technical scheme, the universal adjustable mold for the sewing machine comprises a universal adjustable mold body. By arranging the mold clamping and adjusting assembly, most products can be universally used, tedious mold plate engraving, mold plate purchasing and mold plate replacing are not needed, the problems that mold plates are many, miscellaneous and high in price are solved, the limiting assembling and stabilizing assembly can complete fixing work of other pattern materials under the condition that the mold is not replaced, patterns can be fixed, and the mold clamping and adjusting assembly is convenient to use. Therefore, the purpose of saving time and labor is achieved.

The invention provides a preparation method of a high-strength magnesium alloy, and belongs to the field of nonferrous metal materials. The invention provides a preparation method of a high-strength magnesium alloy, which comprises the following steps: carrying out hot rolling and aging treatment on a solid solution state Mg-Gd-Y series rare earth magnesium alloy to obtain a beta phase-containing high-strength magnesium alloy; the total mass fraction of the Gd element and the Y element in the solid solution state Mg-Gd-Y series rare earth magnesium alloy is smaller than 10%. According to the Mg-Gd-Y series rare earth magnesium alloy and the preparation method thereof, through the component types and content of the Mg-Gd-Y series rare earth magnesium alloy, a large number of beta phases generated after aging treatment of the rare earth magnesium alloy are evenly and dispersedly distributed in the rare earth magnesium alloy, the beta phases can greatly hinder dislocation movement and grain boundary growth, and therefore the tensile strength of the rare earth magnesium alloy is greatly improved.

The invention provides a steam-gas mixed medium high-vacuum low-energy-consumption intelligent control system and a control method. Comprising a vapor phase precondenser, a vapor phase precondenser steam extraction opening pressure sensor, a vapor phase precondenser cooling water inlet control valve, a vapor phase precondenser cooling water inlet pressure sensor, a multi-channel efficient steam jet vacuum pump, a multi-channel efficient steam jet vacuum pump steam extraction opening pressure sensor and a multi-channel efficient steam jet vacuum pump injection steam inlet control valve. The system comprises a multi-channel efficient steam jet vacuum pump, a steam jet pressure sensor, a steam phase final cooler, a steam phase final cooler pressure sensor, a steam phase final cooler cooling water inlet control valve, a steam phase final cooler water inlet pressure sensor, a low-power-consumption auxiliary pump, a low-power-consumption auxiliary pump extraction opening control valve and a system controller. The system is designed according to the vacuum suction characteristic of a steam-gas mixed medium, the vacuum degree of the system can be remarkably improved, the energy consumption can be remarkably reduced, and therefore the heat energy utilization efficiency and the self-control capacity of a front-end system can be remarkably improved, the production efficiency is improved, the yield is increased, the efficiency is improved, and remarkable economic benefits are created.

The invention discloses an on-orbit rocket sled sliding shoe abrasion loss high-precision measuring device, which comprises a vernier, a caliper main body and a digital display module, and is characterized in that the caliper main body is of a rectangular structure, the front end surface of the caliper main body is provided with a thin-plate-shaped main body clamping jaw, and the digital display module is arranged on the rear end surface of the caliper main body; a scale matching groove and a dovetail groove are formed in the caliper main body along the length direction; the vernier comprises a cylindrical sliding rod, a movable clamping jaw is arranged on the upper portion of the front end of the sliding rod, the lower end of the movable clamping jaw protrudes outwards towards the two sides to form sliding blocks, and limiting blocks matched with the dovetail grooves are machined on the lower surfaces of the sliding blocks. The vernier is installed in the caliper body, a sliding rod of the vernier is assembled in the scale matching groove, and a limiting block on the lower portion of a sliding block of the movable clamping jaw is assembled in the dovetail groove. A sensor is arranged in the digital display module, a sliding rod of the vernier penetrates through the digital display module and is connected with the sensor, the sensor is used for detecting displacement of the sliding rod to achieve measurement, and the digital display module is connected with the digital display screen through a plug wire.

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The invention relates to the technical field of auxiliary bid evaluation, in particular to an auxiliary bid evaluation system and method based on intelligent expert management, and the system comprises a project information collection and processing module which is used for collecting bid evaluation time limit characteristics and project data information of a to-be-evaluated project, and carrying out the word segmentation of the project data information, obtaining a project representation phrase set; the bid evaluation time limit matching module is used for traversing in a bid evaluation expert database according to the bid evaluation time limit characteristics, screening out bid evaluation experts matched with the bid evaluation time limit characteristics, and marking the bid evaluation experts as first-order bid evaluation experts; the benefit conflict detection module is used for screening all the first-order bid evaluation experts by utilizing a pre-introduced conflict detection mechanism, rejecting the first-order bid evaluation experts having a benefit relationship with the to-be-evaluated item, and marking the remaining first-order bid evaluation experts as second-order bid evaluation experts; the system can improve the quality and efficiency of the overall bid evaluation work.

The invention relates to the technical field of big data, and discloses a heterogeneous data source online data exchange method, device and equipment and a medium, the method comprises the following steps: mapping to-be-exchanged data of a data table in a source database into a general data type conforming to a target database; according to the structure of a target table in the target database, a backup table is newly built, and the structure of the backup table is the same as that of the target table; copying the to-be-exchanged data to the standby table according to the general data type; and performing partition exchange on the standby table and the target table so as to load data in the standby table into the target table. According to the method, the to-be-exchanged data is copied into the standby table, the loading process does not influence external services of the target database, and the standby table does not need actions such as index checking, so that the data loading efficiency can be improved; in addition, the application target database can be switched on the second level, and the pain point caused by batch data exchange can be solved.

The invention provides an anti-ultraviolet aging high-strength and high-modulus PBO (poly (p-phenylene benzobisoxazole)) fiber and a preparation method thereof. The strength of the PBO fiber is 31.6-32.3 cN / dtex. The strength retention rate is greater than or equal to 62.5%, and preferably, the strength retention rate is 62.5-90.5%. The intermittent pre-polymerization process is used for intermittently preparing a pre-polymerized material, starting from a material storage kettle, continuously conveying the material, defoaming, pre-filtering, feeding the material into a final polymerization system, adding an ultraviolet light absorber before the material enters the final polymerization system for blending modification, and then spinning, washing, oiling, drying and densifying to obtain the anti-ultraviolet aging fiber. The PBO spinning solution is high in viscosity and is easy to block equipment and pipelines, so that equipment such as a pre-polymerization kettle, a middle kettle, a defoaming kettle and a double-screw extruder should be compactly arranged in space arrangement. Meanwhile, the reaction time and the reaction temperature need to be strictly controlled, the intrinsic viscosity of materials in each process is guaranteed, the process stability is guaranteed, and the anti-ultraviolet aging fiber can be obtained.

The invention discloses a transaction risk identification method and device, equipment, a medium and a product, and relates to the technical field of big data. The method comprises the following steps: acquiring transaction detail data of all services in a target application, and summarizing the transaction detail data into transaction statistical data according to a preset dimension; analyzing the transaction statistical data to obtain a weight value and a risk coefficient of each service; and determining a product of the weight value and the risk coefficient as a risk assessment value of the corresponding service. According to the technical scheme provided by the invention, the accuracy and efficiency of transaction log anomaly identification can be improved, and main production hidden dangers can be solved with lower cost.

This invention proposes a method and system for improving a classification model for imbalanced multi-class samples, comprising: a training step, which involves analyzing the acquired training data, combining and grouping categories according to the data volume of each category and preset data grouping and partitioning rules, and further using the group classification model and the sub-category classification model of each group in a hierarchical classification model for layer-by-layer classification training; and a prediction step, which involves first loading the group classification model and the sub-category classification model of each group, then inputting the prediction data into the group classification model for classification prediction to determine the group label of each group, and then selecting the corresponding sub-category classification model according to the group label for final sub-category prediction. By improving the framework structure of the classification model, the classification effect is improved, solving the multi-class problem under imbalanced samples, improving classification effect and accuracy, and simultaneously enhancing the robustness and generalization ability of the model.

The application relates to the field of industrial automation and discloses a data management method and system for laser galvanometer testing, the method comprising: acquiring multi-source error data such as temperature and vibration and performing standardization processing; clustering the data to identify a representative error mode; obtaining an association path of error causes through association rule mining; further extracting deep features to determine the priority of error sources; combining dynamic environment variables to perform simulation verification, generating an error cause model, and formulating an optimization decision rule set based on the model; and finally applying the rule set to adjust system control parameters. The application can realize effective fusion of multi-source heterogeneous error data and accurate tracing of error causes, thereby improving the positioning accuracy and operation stability of a laser galvanometer system.

The invention belongs to the technical field of distributed computing, discloses a scheduling strategy method for distributed computing under limited storage and computing resources, and optimizes the performance of task scheduling without changing the architecture of a whole application system. And the utilization rate of the application system, the web server and the database server is improved. Based on the architecture of a traditional application system, the execution efficiency of the whole timed task can be improved on the premise that the architecture does not need to be changed at all. When the timed task is executed, the application server is not singly utilized, but the application server and the database server are fully utilized. The invention aims to solve the problem of task scheduling performance by taking a traditional relational database as a data source; the method can be suitable for the architecture of the traditional application, and the performance of task scheduling can be optimized without any architecture change.

The utility model discloses a massage device of replaceable battery, include: massage device main part, the massage device main part one side embedded type installation changes the electricity box, sets up the battery in the electricity box, and the battery is detachable design, the utility model discloses a detachable battery design, supports double battery alternation and charges, realizes " one uses one fills " mode, improves the endurance time of massage device, thoroughly solves the pain point of equipment downtime during charging, also is convenient for the convenience of the repair problem of the maintenance problem of massage device battery problem, and the user can complete opening and closing only by pressing the box cover, and the auxiliary fixing of screw is combined, and the dismounting efficiency and structural stability are taken into account, avoid the tool dependence problem caused by traditional screw full fixation, the conductive plug and the electric socket adopt card type connection, cooperate the hole limit design, ensure the insertion accuracy, the contact resistance reduces, avoid the interface loosening caused by vibration simultaneously, and the power supply stability is obviously superior to the welding or ordinary insertion scheme.

The present application belongs to the technical field of residential area extraction, and discloses a large-range remote sensing image rural street-type residential area extraction method and system fusing target detection and visual attention mechanism, which comprises the following steps: generating a residential area candidate area detection frame on a large-range remote sensing image through a YOLOv7 model detection; and performing accurate extraction of the residential area based on the candidate area detection frame by using a PgNet model to obtain a rural residential area on the large-range remote sensing image. The present application combines the candidate mechanism of the target detection technology and the visual attention mechanism method, and roughly removes the vegetation and terrain, which is conducive to the rapid and automatic extraction of the rural residential area and the buildings thereof, and improves the search efficiency. After obtaining the candidate frame, the PgNet efficient extraction mechanism is used, so that the rural street-type residential area can be rapidly and automatically extracted in remote sensing images of different sizes.

The application provides a vehicle OTA upgrade optimization method and system based on after-sales system problem feedback, and belongs to the technical field of vehicle OTA upgrade optimization. The method comprises the following steps: acquiring vehicle problem data related to software of a target vehicle; classifying and prioritizing vehicle problem data according to a preset rule based on fault causes in the vehicle problem data; generating an OTA push strategy for the target vehicle according to the category and priority of the vehicle problem data; and pushing an OTA upgrade version to the target vehicle according to the OTA push strategy. The application enables a large number of software problems to be solved remotely through OTA, reduces the number of times that users go to a store, and reduces the maintenance cost of dealers and vehicle manufacturers. The application can form a complete data closed loop, and improve the efficiency and value of each upgrade. The application is simple and practical, and is suitable for all vehicle models that can perform OTA vehicle cloud interaction.

The invention relates to the technical field of motion cameras, in particular to a golf ball intelligent motion camera with pitching and horizontal automatic rotation, a cradle head comprises a first connecting arm and a second connecting arm, the first connecting arm and the second connecting arm are connected through a damping assembly, one end of the first connecting arm is connected with a camera body, and the other end of the first connecting arm is connected with a camera body. One end of the second connecting arm is connected with the fixing rod, a pitching rotating motor is arranged at the joint of the first connecting arm and the camera body, a horizontal rotating motor is arranged at the joint of the second connecting arm and the fixing rod, the horizontal rotating motor can drive the holder to rotate by 360 degrees horizontally, and the pitching rotating motor can drive the camera body to rotate by 360 degrees in a pitching mode. Compared with the prior art, the intelligent golf ball motion camera with the pitching and horizontal automatic rotation functions has the function of automatically recognizing a ball and a player, shooting and video recording can be achieved when one person plays a ball in a golf place, use is convenient, the pain point of a user is solved, and the use experience of the user is improved.

The application discloses a sintering machine large flue oxygen content detection method and system, and belongs to the technical field of sintering machine flue gas detection. The method comprises the following steps: determining the airflow stability of the detection area of the sintering machine large flue; in the detection area of the sintering machine large flue, the oxygen content is detected by using a horizontal river gas detection device to obtain initial oxygen content detection data; the initial oxygen content detection data is subjected to outlier rejection and data calibration to obtain accurate oxygen content data, if the accurate oxygen content data exceeds the preset normal oxygen content range, a warning mechanism is triggered and the next step is executed; the sampling position and detection parameters of the horizontal river gas detection device are adjusted and the oxygen content detection is re-executed until the accurate oxygen content data is stably fed back or the abnormal reason is confirmed and the detection is actively stopped. The performance advantage of the horizontal river gas detection device is fully exerted, accurate and real-time detection of the flue oxygen content is realized, and stable and efficient operation of the sintering production is ensured.

This invention provides a modified aqueous negative electrode, its preparation method, and its application. The modified aqueous negative electrode includes a negative electrode current collector and a negative electrode active material layer disposed on the surface of the current collector. The negative electrode active material layer includes a negative electrode active material, a conductive agent, sodium alginate, waterborne polyurethane, and a pore-forming agent. The modified aqueous negative electrode of this invention solves both the raw material shortage problem of oil-based negative electrode formulations and the pain points of current aqueous negative electrode formulations, improving the slurry solids content, electrode porosity, and flexibility, while reducing electrode resistivity. Furthermore, this formulation is environmentally friendly, requiring no control of ambient humidity, and can significantly reduce production costs.

According to the logarithmic scale adaptive multi-window power spectral density estimation method provided by the invention, the conicity degree is adjusted through the equilibrium relationship between the deviation and the variance, the problems of low resolution and high algorithm complexity of the existing adaptive sine window algorithm are solved, and the improvement of the adaptive sine window algorithm is realized. The method comprises the following steps: firstly, initializing conicity degrees, setting the conicity degrees at all frequencies as fixed values, and calculating a power spectral density initial value; secondly, cone degree gradient processing is carried out on low-frequency signals, the cone degree is smoothed through filters with different intensities at different frequency bands, and then the optimal cone degree of the whole frequency domain is obtained; and finally, carrying out iterative operation on the conicity degree and the power spectrum density to obtain an optimal power spectrum density estimation value. Compared with an LPSD algorithm, an adaptive sine window algorithm and an LISA-LPSD algorithm, the method provided by the invention has the advantages of high spectrum resolution, low algorithm complexity and the like.

A simulation generating device for transportation vibration of a small fan comprises a mounting bottom plate and a plurality of vibration racks arranged on the mounting bottom plate, an isolation rubber mat is arranged on the lower portion of the mounting bottom plate, the fan to be tested is fixed to the vibration racks, a vibration generator is arranged in each vibration rack, and the vibration generators are arranged on the vibration racks. The vibration generator comprises an upper computer and a driving controller which are embedded in an inner cavity of the vibration rack, the upper computer is used for generating a vibration signal and transmitting the vibration signal to the driving controller, and the driving controller is used for receiving the vibration signal of the upper computer and generating a vibration excitation source, so that the vibration rack generates vibration with set amplitude and set frequency; the device can rapidly realize the simulated transportation vibration test of the small fan, saves manpower, shortens the test time, and reduces the test cost. The device can adapt to various models; various scene applications are supported, and local fixed-frequency fixed-amplitude control or upper computer curve control can be realized; the influence of vibration on the fan in the transportation process is accelerated and simulated, and the actual scene in the fan transportation process is truly restored.

The utility model relates to lighting lamps and lanterns technical field, specifically disclose a kind of ceiling lamp with hidden type adjusting structure and multifunctional integrated unit to solve the problem that existing product mounting structure is exposed, inconvenient and low function integration degree is adjusted.The ceiling lamp includes lamp body, mounting plate, light source module and driving power supply.The core of its technical scheme is: set hidden type installation component, including the hook that can be turned over and stored in the recess of lamp body and the pressing plate for fixing the hook;And integrated light parameter adjusting component, including the openable code cover on lamp body and the code switch group arranged below it, the code switch group is used to preset the lighting mode, color temperature and power of light source.The utility model realizes the simple and beautiful appearance of lamp by hiding and integrating functional structure, provides double operation approach of professional preset and convenient user control, enhances the practicality, safety and market competitiveness of product.

The logistics sorting system is characterized in that the logistics sorting system comprises a closed-loop track assembly and a group of RGVs (Rail Guided Vehicles); the closed-loop track assembly comprises a closed-loop track, the closed-loop track is fixedly connected with two sets of evenly-distributed supporting vertical rods, and the two sets of evenly-distributed supporting vertical rods are fixedly connected with two sets of symmetrical slope supports respectively. The RGV comprises a main beam, one side of the main beam is fixedly connected with a transmission plate support, and the upper side of the transmission plate support is fixedly connected with a transmission plate. The invention relates to the technical field of logistics sorting, in particular to a logistics sorting system and method. According to the logistics sorting system and method, linkage between package supply operation and track operation is smoother and more efficient, two corresponding packages with different sizes or the same size can be conveyed at a time, the single-point passing vehicle flow is increased, the packages with different sizes can be operated on the same path, the sorting efficiency is improved, and the labor intensity of workers is lowered. And the field and personnel are saved.

The utility model relates to a take-up track transfer type pile line split air mobile charging robot system, which comprises an air track, a walking module, a movable charger, a winding gun line module, a charger side butt joint module, a winding side butt joint module, a power taking module, a charging call response system and a control processing unit, the movable charger can move along the aerial track and change the track and steer under the driving of the walking module, a winding gun line module is arranged beside each parking space, the movable charger can achieve the purpose that any parking space can be in electrical butt joint with the winding gun line module, and therefore the charging service can be provided for an electric automobile below the movable charger. The utility model relates to the field of new energy vehicle charging, eliminates the one-to-one binding relationship between a movable charger and a charging gun line, greatly improves the utilization rate of charging resources, supports reservation charging and queuing charging, can take back the charging gun line after a user pulls out a gun, and is more convenient, more efficient, cleaner and safer.

The utility model, which relates to the technical field of LED detection, discloses a lamp-drive integrated packaging LED processing detection apparatus comprising a housing, a power supply, a processor and a test tool. The processor is arranged in the shell, and the test tool is arranged at the top of the shell; the power supply is arranged in the shell and is used for supplying power to the test tool and the processor; the processor is internally provided with a register, the register can control the corresponding testing tool according to the control requirement, the electrical connection function of the lamp bead and the reliability problem (such as dark crack and crush) of an integrated circuit can be detected, the pain point that the industry depends on high-error light splitting equipment or terminal assembly detection is solved, the quality control efficiency of the manufacturing process is remarkably improved, and the production cost is reduced. Two modes of single-point control and breakpoint resume are supported, different test scenes are flexibly coped with, and accurate positioning of faults in a complex circuit is ensured; testing of series connection, parallel connection and different pin positions is supported, and diversified production requirements are met.