12results about How to "Improve resilience" patented technology

The invention relates to the technical field of government affair services, in particular to an NLP entity recognition method based on semantic extension, which comprises the following steps: collecting multi-source time sequence data and generating an entrepreneurship ecological data graph through a dynamic time warping algorithm; dynamic evolution of a term library is realized by using a generative adversarial network, and a term semantic association graph is constructed in combination with a graph convolutional network; a double-path attention mechanism is deployed in a Transform encoder, and global semantics and local attention guided by terms are fused through a gating loop unit; modeling fuzzy query analysis into a Markov decision process, and optimizing a semantic extension strategy by adopting a reinforcement learning agent; multi-granularity features are extracted through a feature pyramid network, and model parameters are optimized in combination with a bidirectional long-short-term memory network and an online learning feedback loop; and finally, calculating entity service association strength by using a graph attention network, and generating an interpretable report based on a Shapley value attribution algorithm. A closed-loop learning system is formed, and the business starting policy matching accuracy is improved.

The invention discloses a method for tracking a video target. The method comprises the steps of video data acquisition, video data preprocessing, tracking model training, tracking model test verification and obtaining of a tracking result through a tracking model after a video to be processed is input and verified. Wherein the tracking model enhances the significance of appearance template features and search domain features through a Transform encoder, and calculates similarity weights to obtain memory features; and fusing the enhanced search domain features and memory features by a Transform decoder to obtain final features, and outputting a target bounding box by an anchor-frame-free regression mechanism. In addition, the tracking model estimates the position of the target through the trajectory prediction model, interference of nearby similar objects is avoided, and the tracking result is corrected. The invention further discloses a video target tracking system, the problems of error accumulation and similar target interference caused by appearance change of the target are solved, and the tracking precision and the success rate are high.

The utility model discloses a portable AI searches and hits integrated robot, include: car body, install respectively on first double light camera, water cannon module of car body, install respectively on second double light camera, laser ranging module of water cannon module, install in main control unit, battery, communication module of car body, first double light camera, second double light camera, laser ranging module, water cannon module's driver, communication module, battery electricity of main control unit are connected respectively. The utility model discloses through placing battery in chassis box body and installing water cannon module on the outside of chassis box body, realizes the partition structure, can compress the volume of complete machine, thereby controls quality, and manpower can quickly carry deployment. Unique V type damping mechanism layout and active tension mechanism, significantly improve the complex terrain adaptability: break through 30 degree slope limit, and side slope stability is good.

The invention discloses a voice interaction graphene AI intelligent tea table control method, and relates to the technical field of home voice interaction, and the method comprises the control steps: S1, monitoring a surrounding user instruction based on a built-in microphone of a tea table, and after the tea table receives the voice instruction, synchronously carrying out the preliminary noise reduction processing, and retaining the voice segment of the instruction; s2, training a data set containing a noise scene, enabling a built-in model to learn features for distinguishing voice and noise, and filtering non-voice signals in real time; and S3, for dialects and accents in different regions, collecting a scale data set, training a dialect recognition model, and inputting the obtained voice signal into the dialect recognition model to recognize and judge the current dialect and accents. Through preliminary noise reduction and microphone array layout, the voice acquisition quality is improved, and instruction omission is reduced; secondly, by training a multi-noise scene data set, the adaptability of the model to a complex environment is enhanced, and reliable recognition is guaranteed; and aiming at dialects and accent optimization, the product universality is improved.

The utility model relates to the technical field of industrial equipment installation, and discloses a flare barrel on-site winch type integral installation structure which comprises a flare tower, a flare main body and a flare barrel body, rotating blocks are fixedly connected to the front side and the rear side of the outer wall of the flare barrel body, and guide columns are rotationally connected to the sides, away from each other, of the two rotating blocks. And second air cylinders are fixedly connected to the sides, away from each other in the front-back direction, of the two guide columns correspondingly, square blocks are fixedly connected to the sides, away from each other in the front-back direction, of the two second air cylinders correspondingly, and a plurality of telescopic rods are fixedly connected to the sides, away from each other in the front-back direction, of the two guide columns correspondingly. According to the utility model, the torch barrel body is lifted to be right above the torch main body by using the winch, so that the T-shaped block slides into the T-shaped groove, the angle of the guide post is adjusted through the air cylinder I, the position of the T-shaped block is adjusted through the air cylinder II, the T-shaped block is ensured to slide into the T-shaped groove all the time, the installation convenience and the equipment adaptability are improved, and the cost is reduced.

The utility model provides a tethered airship for monitoring, which comprises an anchoring vehicle, and the anchoring vehicle is arranged on the ground and is loaded with a tethered structure provided with a tethered unit; the airship is arranged above the anchoring vehicle, and an equipment carrying unit is further installed on the airship in an integrated mode. The anchoring vehicle and the airship are connected through a mooring rope unit. The mooring vehicle and the airship are connected through the mooring cable unit, the effect of stabilizing the airship is achieved, in addition, the air valve and the safety valve are installed at the bottom of the airship, stable buoyancy is provided for the airship, safety is guaranteed, meanwhile, stable supporting performance can be provided, guarantee is provided for an equipment carrying unit, and the airship can be stably supported. And meanwhile, the adaptability of the tethered airship to the environment can be improved, and the tethered airship is widely applied to emergency events.

A biological agent packing material, its preparation method, and its reactor for the simultaneous removal of ammonia nitrogen and nitrate are disclosed. The steps include: sludge enrichment and acclimatization, preparation of biological agent, preparation of steel slag and coal gangue micro-packing material, and biofilm formation. The reactor includes, from top to bottom, steel slag and coal gangue microporous packing material, porous aeration plates, guide plates, a support layer, a microporous aeration system, and filter plates. A backwash valve is installed at the bottom of the reactor, and the flow rate is controlled by a backwash water tank through a backwash flow meter. Backwashing is achieved by an inlet pump pumping water in conjunction with the porous aeration plates. An exhaust port is provided at the top of the reactor, and the water discharged through the outlet enters a sedimentation tank for sedimentation and drainage. The steel slag and coal gangue microporous packing material used in this invention simultaneously removes ammonia nitrogen and nitrate under the driving action of iron circulation. The preparation process is simple, suitable for domestic sewage and industrial wastewater, and features no secondary pollution, high biological activity, low cost, and simple operation and management. It has significant effects in the simultaneous removal of ammonia nitrogen and nitrate.

The invention provides a lock-up clutch control method and device, a vehicle and a medium, the method is applied to the technical field of vehicle control, and the method comprises the steps that target lock-up pressure of a lock-up clutch at the torque zero-crossing moment is obtained; the actual lock-up pressure of the lock-up clutch is controlled to be reduced to the target lock-up pressure before the torque passes zero; and the lock-up clutch is maintained at the target lock-up pressure until the engine completes torque zero passage. According to the method, by finely adjusting the pressure of the lock-up clutch, the problems of power delay, impact, vibration and the like existing when the torque of the engine crosses zero in the related technology are solved.

This invention discloses an anti-skid navigation control method for agricultural machinery based on historical driver data, comprising: S1, collecting operational data of the driver operating the agricultural machinery on slippery road sections, using the Pearson correlation coefficient method to screen key dependent variables affecting steering control, and constructing training samples; S2, constructing an attention-BP-LSTM neural network regression prediction model for desired wheel angle and steering wheel torque; S3, model training; S4, evaluating and verifying the model's prediction results; S5, deploying the model on the terminal controller of the agricultural machinery to acquire real-time operational data of the agricultural machinery. When slippage is detected, the model outputs the desired wheel angle and steering wheel torque, and, combined with the safety protection mechanism of output limiting and gradual control, automatically adjusts the steering mechanism of the agricultural machinery to control the agricultural machinery to escape slippage. This invention generates precise and real-time control commands through deep learning of the driver's historical sideslip correction data, solving the problems of traditional methods relying on physical models and lacking experience utilization.

The utility model discloses a roller spacing adjusting and measuring mechanism, which comprises an upper roller, first bearing seats are sleeved on two sides of a shaft body of the upper roller, first measuring bearing seats are sleeved on the outer sides of the first bearing seats and positioned on the shaft body of the upper roller, a lower roller is arranged below the upper roller, second bearing seats are sleeved on two sides of a shaft body of the lower roller, and first measuring bearing seats are sleeved on the first measuring bearing seats. A second measuring bearing seat sleeves the outer sides of the two second bearing seats and is located on a shaft body of the lower roller, a servo motor is installed below the second bearing seat, an output shaft of the servo motor is connected with a gear transmission box, the output end of the gear transmission box is fixedly connected with a lead screw, and the top end of the lead screw is inserted into a seat body of the second bearing seat; the automatic roller distance adjusting device has the automatic roller adjusting effect, manual operation is not needed, automatic roller distance adjusting work can be completed only by controlling the reverse rotation direction and the number of rotation turns of the servo motor, the adjusting speed is high, and efficiency is high.

The application discloses a power distribution network power supply optimization method and device, a storage medium and a computer device. The method comprises the following steps: determining a dynamic key node and a priority sequence thereof based on a real-time operation state of a power distribution network; constructing a power supply optimization model based on power supply constraints and optimization targets; decomposing the model into a main problem for processing discrete scheduling decision variables and a sub-problem for processing continuous network operation variables in a priority sequence; iteratively solving to obtain a target scheduling scheme and performing resource scheduling. The method of the application decouples discrete scheduling decisions and continuous power flow checking, improves the solving efficiency and engineering real-time performance of large-scale rolling scheduling problems, focuses the search process on a high-value solution area related to key node power supply guarantee, and effectively improves the key load power supply guarantee capability and the overall recovery resilience of the power distribution system.

The present invention discloses a method for quantifying the degree of association in a literature research field based on multi-dimensional feature fusion, and belongs to the technical field of literature research association calculation. The method of the present invention comprehensively captures the relationship between literature features by constructing multiple undirected graphs, and enhances the ability to express the association of literature; through experimental comparative analysis of multiple feature aggregation operations, the optimal feature fusion scheme is selected to extract the association features between documents, and the prediction accuracy of the quantitative association degree is improved; through the minimum dimensional sphere model, a cross-domain scientific research capability assessment method is performed to help scientific researchers identify the contributions and influence of different scholars in multidisciplinary cross-disciplinary research; at the same time, the accuracy rate with error tolerance is used as an evaluation indicator to improve the flexibility and adaptability under different accuracy requirements. The method of the present invention can help researchers quickly lock in the most relevant information from a large number of documents, so that literature research can better meet actual scientific research needs, thereby promoting interdisciplinary cooperation and innovation.