77results about How to "Efficient feedback" patented technology

The invention discloses a defective product prediction and early warning method and system for manually assembled motors, and relates to the field of industrial detection, and the method comprises the steps: obtaining a real-time video stream in a motor assembly process, and determining key motion features of a target person according to the real-time video stream; comparing the key action characteristics with a preset standard action template to obtain an action difference degree; according to the tool type, the performance parameter and the use state information of the assembly tool used by the target person, establishing an applicability model of the assembly tool; inputting the key action features into an applicability model to obtain a tool application score of the target person; acquiring real-time pressure data and real-time temperature data of an assembling environment in a motor assembling process, and determining a motor assembling score of a target person; and when the motor assembly score is lower than a preset qualified threshold value, early warning information is sent to a supervision client. By implementing the method, the application degree of the assembly tool by the assembly personnel can be identified, and the defective motor product can be predicted more comprehensively.

The invention discloses a personalized customized big data smart tourism system, and the system comprises a user login module which comprises a data collection and input unit and a user tag library; the tourism data statistical analysis module comprises an information calling system and a tourism information base; the information calling system is used for collecting information of scenic spots, hotels and traffic and storing the information into a tourism information base; the query display module is used for a user to query and display information of corresponding scenic spots, hotels and traffic according to query content; the tourism scheme planning module is used for customizing a tourism scheme for the user and comprises a tourist data analysis unit and a scheme customizing and pushing unit; the tourism data recommendation module comprises an intelligent recommendation system and a real-time dynamic recommendation unit; the user interaction module comprises a tourist evaluation and feedback system and a social sharing function unit; by analyzing the crowd portrait and screening the tourism data, the personalized customized tourism scheme meeting the requirements of the user is accurately generated, and the tourism experience and the tourism efficiency of the user are improved.

The invention discloses an industrial internet trusted data communication method and system, and relates to the technical field of data communication, and the method comprises the steps: taking an equipment end and an employee end as data collection points, building an initial trust value for each data collection node, and obtaining a dynamically adjusted trust value for each data collection node according to the historical performance and real-time state of the data collection node; classifying and aggregating the collected data according to the data type and the trust value; dynamically allocating bandwidth resources according to the trust value and the data type; after data transmission is completed, a bidirectional confirmation mechanism is started, a sender and a receiver confirm whether the data is successfully sent and received through a feedback mechanism, and if the sender does not receive a confirmation message within a specified time, a timeout mechanism is triggered, and a data packet is sent again until the data packet is confirmed to be received; and calculating an average transmission success rate, and dynamically adjusting strategies of data acquisition, compression and bandwidth allocation.

The invention relates to the technical field of industrial data acquisition and processing, and discloses a different industrial data optimal acquisition scheme analysis system and method based on an SCADA system, and the system comprises an industrial data acquisition information processing module, an industrial data acquisition scheme analysis module, and an industrial data acquisition optimal scheme generation module. According to client target industrial data acquisition scheme type information, in combination with an intelligent identification algorithm and industrial data acquisition scheme equipment composition information, industrial data acquisition scheme equipment composition information efficient retrieval is carried out, and equipment information used by different types of industrial data acquisition schemes is efficiently and scientifically analyzed; the industrial application applicability of the SCADA system is improved; the unit price information of the client target industrial data acquisition scheme composition equipment and the cost information of the client target industrial data acquisition scheme are scientifically and accurately counted, the cost information of different types of industrial data acquisition schemes is autonomously measured on line, and the scientificity of the industrial application of the SCADA system is improved.

The invention discloses an energy storage lithium battery cabinet supporting capacity expansion, and relates to the technical field of energy storage cabinets, the energy storage lithium battery cabinet comprises a cabinet body, an electric telescopic rod, a solution cavity and a battery supporting plate, the electric telescopic rod is fixedly connected with the cabinet body, the solution cavity is fixedly connected to the upper end of the electric telescopic rod, the battery supporting plate is vertically and slidably connected to the solution cavity, and the battery supporting plate is fixedly connected to the cabinet body. According to the invention, when the weight of the lithium battery is reduced due to over-discharge and aging of the battery, the round pipe orifice and the square through orifice are indirectly matched for use, so that the size of the overlapped circulating orifice is changed, and due to the expression form of the law of conservation of mass in fluid mechanics, the effect of mass conservation is improved. The gradually-decreased coincident circulation openings enable the flow speed of cooling liquid flowing in the transmission pipe to be increased, early warning feedback is carried out under detection of a flow speed sensor in the coincident circulation openings, and the mechanical transmission is different from a monitoring mode adopting a voltage monitoring method in the prior art through the design of a feedback mode of the water flow speed. And the monitoring completeness of the lithium battery over-discharge and battery aging is improved.

The invention discloses a pre-splitting blasting half-wall porosity intelligent identification system and method, and the system comprises a front-end display platform and a rear-end operation system which carry out data interaction through a computer, and the operation result information is displayed and checked through the front-end display platform; the front-end display platform consists of a menu bar, a toolbar, a display window and a command line; the rear-end operation system mainly comprises a half-wall hole image database, an image denoising module, an image segmentation module, a data statistical analysis module, an identification calculation module and the like, half-wall hole photo images are collected on steps on the two sides of the platform through the unmanned aerial vehicle oblique photography technology with or without the RTK function, a three-dimensional image database marked with half-wall hole information is established, and the three-dimensional image database is used for storing the half-wall hole information. An intelligent half-wall porosity recognition algorithm based on computer deep learning is developed, accurate recognition of the half-wall porosity is achieved, the traditional presplitting blasting quality evaluation efficiency can be greatly improved, and the method can be widely applied to slope presplitting blasting effect evaluation in the fields of surface mines, water conservancy and hydropower, transportation and the like.

The invention provides a sales data analysis method based on big data and cloud computing, and the method comprises the steps: cleaning product sales data from multiple channels, and carrying out the partition storage processing according to dimensions; constructing a hypergraph model according to the processed data; designing a hypergraph convolutional network to learn the hypergraph model and optimize the synergistic effect between product nodes; constructing a dynamic strategy generation model according to the synergistic effect score, and outputting an optimal strategy; and applying the optimal strategy to a user front end to collect feedback data, optimizing the prediction capability of the hypergraph model, and designing a time decay regularization mechanism to control the dependence of the hypergraph model on historical data, thereby realizing complete feedback closed-loop optimization. The method not only optimizes the formulation process of the sales strategy, but also can improve the coping ability of an enterprise in an environment where the market changes rapidly, and finally improves the overall market competitiveness.

The invention discloses an automatic control method and system based on polyester relaxation heat setting drying. The process executed by the automatic control method through the control system comprises the steps that S1, the running speed of a post-spinning drafting combination machine is monitored in real time; presetting corresponding chain plate running speeds when the drafting combination machine runs at low, medium and high speeds, and controlling a chain plate frequency converter to control the chain plate to run at the corresponding speed so as to guarantee the drying time of tows in a drying machine when the drafting production speed of the drafting combination machine changes; s2, monitoring the running speed of the cut-off equipment in real time; and presetting the corresponding oiling machine running speed when the cut-off equipment runs at the low speed, the medium speed and the high speed, and controlling the oiling machine spraying frequency converter to run at the corresponding speed, so that the oiling machine can automatically carry out oil spraying quantity matching control along with the change of the running speed of the cut-off equipment. The speed of the chain plate of the dryer can be automatically adjusted according to the real-time speed of post-spinning drafting production, so that accurate temperature control and an efficient drying process are realized, and the quality and the production efficiency of polyester products are improved.

The invention discloses a potassium-doped tungsten rod for a high-flexibility tungsten wire rope and a manufacturing method of the potassium-doped tungsten rod, and belongs to the technical field of powder for metal additive materials, and the manufacturing method comprises the following steps of (1) material selection, (2) pre-reduction, (3) vacuum spray doping, (4) reduction, (5) batch pickling, (6) mixing, (7) hard film cold isostatic pressing forming, (8) low-temperature impurity removal, (9) vertical melting pre-sintering and (10) medium-frequency sintering. And finally obtaining the potassium-doped tungsten rod. Compared with the prior art, the method has the advantages that the special high-activity potassium-doped tungsten powder with the narrow particle size range is adopted for producing the tungsten rod, and the potassium-doped tungsten blank obtains stable and micro-nano-scale initial crystals in the sintering of vertical melting and medium frequency combination through regulation and control of the narrow particle size range; the yield reaches 88%-90%, the percent of pass is larger than or equal to 95%, the tensile strength is larger than or equal to 2250 N / mm < 2 >, the high-temperature recrystallization temperature is 1850-2380 DEG C, the 0.39 mm specification high-temperature droop value is smaller than or equal to 1.5 mm, the length-width ratio is larger than or equal to 15, and the service life is prolonged.

The invention relates to the technical field of braking energy feedback, in particular to a regenerative braking energy feedback control method based on multi-sensor fusion, and the method comprises the steps: respectively collecting vehicle driving state data and pedal state data in a vehicle driving process, and carrying out the preprocessing of the collected data; performing feature extraction on the preprocessed vehicle driving state data and pedal state data, and constructing a driver intention recognition model with the vehicle driving state data and the pedal state data as input and driver intention as output; and inputting the real-time vehicle driving state data and the real-time pedal state data into the driver intention recognition model to obtain a real-time driver intention, calculating a total braking force demand, and performing distribution control of regenerative braking and mechanical braking. The intervention opportunity and direction of regenerative braking are obtained by recognizing the intention of a driver, and more efficient and more stable energy feedback is achieved.

The utility model relates to an induction hook lamp and belongs to the technical field of daily necessity hooks. The technical problems that the function is single, using is not interesting enough, and intellectualization is not enough are solved. According to the technical scheme, the hook comprises a shell, a hook body and a circuit module. The hook body is installed on the shell, the circuit module is located in the shell and connected with the hook body, the circuit module comprises a weighing sensor, a microprocessor, a power supply module, a first signal lamp and a second signal lamp, the weighing sensor feeds back a first induction signal, and the microprocessor is connected to the weighing sensor and used for receiving and processing the first induction signal; the first signal lamp and the second signal lamp are respectively arranged at eyeball parts of the shell and electrically connected with the microprocessor, and when the first sensing signal is greater than a first threshold value, the first signal lamp is turned on; when the first induction signal is larger than the second threshold value, the second signal lamp is turned on, and the second threshold value is larger than the second threshold value. The hook has the advantages of being intelligent, convenient and fast to use and high in interestingness, and the hook and the lamp are combined.

The invention relates to the technical field of supply chain transportation management, and discloses a supply chain comprehensive service integration system and method based on multimodal transport, and the system comprises a supply chain material transportation scheme selection module, a supply chain material transportation execution object analysis module, and a supply chain material transportation result output module. The method comprises the following steps: accurately setting supply chain material transportation modes and transportation execution sequence parameters, combining an intelligent identification algorithm and supply chain material transportation scheme selection parameters to search transportation modes and transportation execution sequences, and accurately searching specific material transportation modes and transportation execution sequence parameters corresponding to a supply chain material transportation scheme; a supply chain material transportation system based on multimodal transportation is realized; the optimal transportation execution company search parameters required by the supply chain materials are analyzed through numerical values, and the optimal transportation execution company information of different material transportation execution stages is intelligently screened out.

The invention belongs to the technical field of aircraft air refueling design, and particularly relates to an aircraft soft air refueling and receiving control method which comprises the steps that S1, a refueling formation is added; s2, carrying out oil receiving occupation; s3, carrying out pre-docking; s4, refueling butt joint is carried out; s5, air refueling is carried out; s6, backward separation is carried out; s7, re-formation is carried out; and S8, carrying out formation dissociation.

The invention discloses a brake control method and application thereof in crane working control, according to the scheme, when a hydraulic brake works, hydraulic oil flow in a hydraulic system oil way of the hydraulic brake is monitored, and pressure data in a hydraulic cylinder is monitored, so that the working condition of a hydraulic system of the brake is judged; then, in combination with a pre-constructed braking force estimation model, braking force data and braking state information when the hydraulic brake works are estimated, so that reliable and effective information feedback is provided for working control of the brake; according to the scheme, different braking force estimation logic formulas are called according to the pressure maintaining state or the non-pressure maintaining state pointed by the braking state information, so that the estimation of the braking force is more reliable; according to the scheme, the data value of the collected data is adjusted by regularly correcting the brake and monitoring the working temperature of the hydraulic oil, and more reliable logic support is provided for the brake in different working environments.

The invention relates to a steel tower detection method and system based on a meteorological spectrum, a steel tower type library is established through a three-dimensional data model library, each steel tower type has at least one probing feature region, and each steel tower type in the feature library and at least one probing feature region form a mapping relationship. The unmanned aerial vehicle carries a multispectral camera to acquire images of the steel tower and mainly acquires the probing characteristic areas, so that when the flight route of the unmanned aerial vehicle is formulated, the flight route is formulated according to the distribution of the probing characteristic areas forming a mapping relation with the tower type of the steel tower in the characteristic library, which is beneficial for the thermal vortex equipment to excite the steel tower to generate electric heat; the internal stress damage condition of the steel tower is obtained through a meteorological spectrum generated by electric heat of the steel tower. More specifically, the unmanned aerial vehicle flies based on an air route, time and labor are saved, and the plumpness of obtained information is high. The spectrogram can efficiently feed back damage information in the steel tower. Based on the thermal neural network of the spectrogram, whether the steel tower component is damaged or not can be efficiently and rapidly judged.

The present invention discloses an electrocardiogram signal monitoring system and method for smart underwear, which relates to the technical field of signal monitoring. The data collection process of the smart underwear is tested, and data accuracy is generated by a scene test data set. If the data accuracy is not lower than expected, different working modes are set for the smart underwear, and its working modes are switched according to changes in the use scenarios of the smart underwear; the smart underwear collects data from elderly postoperative patients, encrypts the collected data, and uses a trained abnormal indicator recognition model to identify the data after decryption. If an abnormal electrocardiogram signal exists, the smart underwear sends an alarm instruction to the outside; after feature extraction of the electrocardiogram data of elderly postoperative patients, the knowledge graph of postoperative rehabilitation intervention of the patients is used to match the corresponding intervention plan; when abnormalities occur in the patient's body, timely and targeted processing can be carried out to implement intervention and protection of the patient's rehabilitation process.

The invention discloses a regional short-term air temperature intelligent prediction method based on procedural interpretable analysis, and provides the procedural interpretable analysis of air temperature prediction so as to reveal important factors influencing air temperature procedural prediction. According to the method, secondary training is carried out on the regional air temperature prediction model, and the contribution rate is adopted as the feedback of the input part of the model, so that the understanding of the air temperature prediction process is enhanced, effective feedback is provided for the model, the performance of the model is expected to be improved, and a more accurate regional air temperature prediction result can be obtained.

The invention provides a real-time processing method and device for industrial processing process data, equipment and a medium. The method comprises the following steps: configuring a filtering condition of a batch processing data pushing system; based on production task pushing of the batch processing data pushing system, operation starting data is pushed when industrial processing operation starts, and operation final state data is pushed when the operation ends; configuring a timed task based on the filtering condition, and collecting real-time data of charging and output according to a preset time interval; when the operation final state data is received, the collected real-time data of feeding and output are summarized, and the feeding amount and the output amount are calculated based on the initial parameter value and the termination parameter value; and the collected real-time data is stored in a historical database, and the real-time data, the feeding amount and the output amount are displayed in real time through a visual interface. According to the invention, feeding and output data can be fed back more efficiently and flexibly in real time, and the data processing efficiency and real-time performance of the industrial processing process are improved.

The invention discloses an interactive display method and device based on augmented reality, equipment, a medium and a product, and belongs to the technical field of augmented reality, and the method comprises the steps that a cloud constructs a three-dimensional model and a point cloud map of a real scene, and determines a corresponding relation; obtaining at least one of the following items: first interaction content and first pose information added to the three-dimensional model, and second interaction content and second pose information added to the point cloud map; when the first interaction content and the first pose information are included, the first interaction content and the first pose information are sent to a third user located in the real scene, the first interaction content is added to the corresponding position of the point cloud map, and the first interaction content is displayed to the third user; and when the second interaction content and the second pose information are included, adding the second interaction content to a corresponding position of the three-dimensional model, and sending the three-dimensional model to which the second interaction content is added to a fourth user not in the real scene.

The present invention proposes a testing method for automatically tracing software bugs. By querying historical submissions, a binary method combined with code log analysis is used to preliminarily confirm a commit ID number set that may introduce bugs. Then, an automated testing framework module is used to generate a test plan according to a bug tracing analysis tool module, and a regression test case set is used to perform automated testing on a software product to be tested, thereby realizing tracing of code submissions that introduce bugs. The present invention can be executed quickly and automatically, is on duty 24 hours a day, has high reliability, high execution efficiency, eliminates artificial unstable factors, and improves testing efficiency.

The present invention discloses a remote monitoring method and system for a long-wave timing monitoring station, the method comprising the following steps: collecting and acquiring the monitoring station environment video information, equipment and software working condition information of the field monitoring station; judging whether there is abnormal video information based on the acquired monitoring station environment video information, if so, intercepting the abnormal video information, saving the abnormal video information and giving an alarm; judging whether there is equipment or software abnormality or needing to be controlled based on the acquired equipment and software working condition information, if there is abnormal equipment or software, obtaining the name and state parameters of the abnormal equipment or software and giving an alarm, if there is equipment or software that needs to be controlled, controlling the equipment or software. The invention can make the long-wave timing monitoring station unattended, save labor costs, and timely and effectively feedback problems to the central station, and can ensure the continuous and reliable operation of the monitoring station equipment and software.

The invention relates to a water-cooling monitoring system and method for an induction heating power supply, and the system is characterized in that each branch of a water-cooling device is connected to a water inlet and outlet main pipe through a water inlet pipe and a water outlet pipe, the water inlet main pipe is provided with an electric ball valve corresponding to each branch, and each branch of the water-cooling device is provided with a branch temperature detection unit; the water inlet main pipe is connected with a gas tank through a pipeline and a gas tank valve, and a drain valve is arranged at the tail of the water inlet and outlet main pipe. According to the invention, the outlet water temperature of each branch water cooling device of the induction heating power supply is effectively monitored; according to the expected temperature values of the water-cooling device when the water-cooling device operates at different power sections set by the main control unit, the water outlet temperature fed back by the temperature switch is analyzed, and the electric ball valves of the branches are controlled to adjust the flow of the corresponding branches, so that the water-cooling device operates at a proper temperature, the loss of the water-cooling unit and the device is reduced, and the service life is prolonged; and after shutdown, water in each branch can be automatically discharged, so that repeated disassembly is reduced, and the efficiency is improved.

The invention relates to the technical field of atomization treatment equipment, and discloses an atomization cough relieving device which comprises a main fixing rack used for fixing and installing an atomization cough relieving device structure; the suspension is located above the main fixing rack and used for assisting in mounting the structure. The fixing shell is located above the suspension and used for fixedly installing electronic control and remote transmission elements. The atomization switching mechanism is located in the main fixing rack and used for being fixed to a discharge port for normal inhalation treatment. The blocking monitoring mechanism is located in the main fixing rack and matched with the input tank body. Through the design of the tank type structure and the liquid storage pool, it is ensured that liquid medicine can be effectively atomized and kept in a suspended state, the design not only improves the atomization efficiency of the medicine, but also can ensure that the medicine is evenly distributed into the respiratory system of a user, and through the design of the three-way input pipe, air and the liquid medicine are mixed more sufficiently; and the safety and the reliability of the equipment are improved, so that the equipment has remarkable advantages in clinical application.

The invention discloses a photovoltaic power station multi-source fusion remote monitoring method and system based on a cloud platform, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying a plurality of data collection units at a target photovoltaic power station, collecting the multi-source operation data of the target photovoltaic power station in real time, uploading the multi-source operation data to a cloud data processing platform, and carrying out the fusion and correlation analysis, power generation performance deviation is identified, an abnormal cause is positioned, and a fault analysis result is generated; and generating a fault processing scheme according to a fault analysis result, and pushing the operation and maintenance work order to an operation and maintenance personnel terminal to execute field processing. The technical problems that the operation and maintenance efficiency is low and the power generation efficiency is limited due to the fact that operation and maintenance of an existing photovoltaic power station depend on manual inspection, the fault diagnosis period is long and the accuracy is poor are solved, multi-source fusion remote monitoring based on the cloud platform is achieved, real-time accurate diagnosis and quick response to faults of the photovoltaic power station are achieved, and the working efficiency of the photovoltaic power station is improved. And the operation and maintenance efficiency and the power generation benefit are improved.

The present invention relates to the technical field of mass spectrometry detection, and in particular to a mass spectrometry detection method and system based on tumors, comprising the following steps: obtaining ambient temperature data of a mass spectrometer during tumor detection, and performing monitoring and analysis based on the ambient temperature data to obtain an early warning coefficient; wherein the ambient temperature data includes real-time ambient temperature; based on the early warning coefficient, judging the detection work of the mass spectrometer to obtain a mass spectrometry detection risk signal, and then performing factor identification based on the mass spectrometry detection risk signal to obtain risk influencing factors; based on the risk influencing factors, generating corresponding feedback working signals; according to the environmental control working signal, obtaining a control coefficient, and controlling the current ambient temperature of the mass spectrometer; wherein the control coefficient includes an ambient temperature control rate; the mass spectrometry detection system of the present invention can perform early intervention processing on the mass spectrometer according to the generated early warning coefficient, so as to effectively ensure the accuracy of mass spectrometry detection.

An oil way switching device of a fan gear box is arranged to be of a hexahedron structure, the hexahedron structure is provided with a first butt joint face, the first butt joint face is communicated with an oil inlet of a filter through a first oil pipe, a right-angle face close to the first butt joint face is a third butt joint face, and the third butt joint face is communicated with an oil outlet of an oil pump through a second oil pipe. The first butt joint face communicates with the third butt joint face through a right-angle bend, a slope is arranged at the right-angle position of the right-angle bend, and a force unloading effect is generated on oil of an oil outlet of the oil pump. The oil pipe is ingenious in conception, through the right-angle bend design and slope unloading, impact force borne by the oil pipe is reduced, vibration of the oil pipe is reduced, and the stability of a gearbox filtering system is improved; the switching device is further provided with an exhaust hole used for exhausting gas in the gearbox. In an oil way system of the gearbox of the wind generating set, the switching device avoids bending of the oil pipe, reduces deformation and abrasion, improves operation reliability and power generation efficiency of the system, reduces maintenance cost, and is good in practical application effect and high in popularization value.

The invention relates to the technical field of tire simulation design, in particular to a radial tire in-place pressure prediction method and system and a computer program product. According to the method, a simplified axial symmetry calculation model is established, a reinforcing unit is used for representing a tire material structure, and an automatic termination technology is combined, so that the in-position air pressure when a tire bead climbs over a rim convex peak is accurately predicted. The method comprises the steps of model establishment, tire bead contraction state calculation, pre-inflation calculation, inflation analysis, pressure judgment and the like, and the acceptability of in-place pressure is evaluated through an admissible rate. The calculation efficiency is remarkably improved, the prediction result is accurate and reliable, operation is easy and convenient, and the method is suitable for rapid design and optimization of tires of various specifications. Compared with a traditional method, the calculation time of the method is shortened from several hours to about 11 minutes, resources are remarkably saved, scientific design guidance is provided, and the method is suitable for the field of tire design and assembly.

This utility model discloses a rudder angle feedback device, including a support base. A bearing ring is fixedly embedded in one side of the support base. A rotating shaft is fixedly connected to the inner ring of the bearing ring. A resistor is fixedly installed at one end of the rotating shaft. A brush is disposed above the resistor. A fixing plate is fixedly connected to one side of the brush. A fixing screw is fixedly connected to the upper surface of the support base. The top end of the fixing screw passes through the fixing plate and extends above the fixing plate. A connector is fixedly installed at one end of the rotating shaft. A rudder shaft is disposed on one side of the connector. This invention relates to the field of rudder angle feedback. The fixing plate, through the stable installation of the fixing screw, ensures good contact between the brush and the resistor, avoiding signal fluctuations caused by poor contact. The connector facilitates convenient connection with the rudder shaft, making the device easy to install and maintain, and providing fast and efficient feedback of rudder angle information.

The invention discloses a device, a method and equipment for detecting a cable forest fire caused by lightning stroke, and belongs to the technical field of electric power facilities. The device comprises a feature recognition module which is used for obtaining a cable image between cable racks through at least two cameras and recognizing whether a forest fire triggering feature exists in the cable image or not; the feature verification module is used for verifying the forest fire triggering features in the cable images of the cameras to obtain the confidence coefficient of the forest fire triggering features; and the forest fire early warning module is used for generating forest fire early warning information under the condition that the existence of the forest fire triggering features is identified and the confidence exceeds a preset confidence threshold. According to the technical scheme, the forest fire triggering factors can be detected in time by identifying whether the forest fire triggering features exist in the cable image, and the false alarm rate of forest fire early warning can be reduced by determining the confidence coefficient of the forest fire triggering features, so that accurate and effective forest fire early warning information is fed back to workers in time, and the forest fire is prevented from being caused.

The invention is suitable for the technical field of grammar error correction, and provides a grammar error correction method based on English grammar, an intelligent pen, terminal equipment and a medium, and the method comprises the steps: firstly responding to a writing start instruction, obtaining writing content image information by using a camera, and then according to the writing content image information and an optical character recognition algorithm, obtaining a grammar error correction result; according to the method, writing text information is generated, grammar analysis result information is generated according to the writing text information and a natural language processing algorithm, error correction suggestion information is generated according to the grammar analysis result information after accommodation, and finally the error correction suggestion information is sent to a display screen to be displayed. According to the method, the English grammar errors in the handwritten text can be efficiently recognized, immediate feedback is provided, the use experience of a user is remarkably improved, the writing quality and the writing efficiency are both improved, the efficiency and convenience of English grammar learning and writing are greatly improved, and by combining the high convenience of the intelligent pen, the use experience of the user is improved. And better handwriting experience is created for the user.