175results about How to "Ensure operability" patented technology

The invention discloses a multi-sensor fusion unmanned equipment agricultural monitoring method and system, and belongs to the technical field of agricultural monitoring, and the method specifically comprises the steps: obtaining a farmland image and multispectral data through an image shooting device and a multispectral sensor carried by an unmanned aerial vehicle, and recognizing the features of diseases and pests through a deep learning model, generating a distribution diagram and statistical data, and performing early warning and risk assessment in combination with the multispectral data; formulating a pesticide management strategy according to an evaluation result, and pushing the pesticide management strategy to an unmanned equipment control system in real time; meanwhile, according to actual and operation requirements of the farmland, generating an optimal operation path by using a path planning algorithm, setting operation parameters, and allocating tasks by using a task allocation algorithm; in the operation process, environment changes are monitored in real time, an edge computing device is used for finding out abnormity in time and adjusting operation instructions, and efficient and accurate monitoring and intelligent operation management of farmland diseases and insect pests are achieved.

The invention provides a three-dimensional geological modeling parameter optimization method and system based on deep learning, and relates to the field of geological prospecting and modeling.The method comprises the steps that drilling data and remote sensing data of a geological prospecting area are obtained, and multi-source geological data of three-dimensional geological modeling are formed; generating geological profile map data of the geological features according to the drilling data, generating landform profile map data corresponding to the topographic features according to the remote sensing data, and extracting boundary information of the geological exploration area; carrying out gridding processing on a three-dimensional space, dividing a geologic body of the geological exploration area into a plurality of small grid units, and defining geological modeling parameters; the preliminary three-dimensional geological grid model is constructed according to the geological profile map data, the landform contour map data and the boundary information, the size and the resolution of the grid are dynamically adjusted according to the geological change area, the three-dimensional geological model is obtained through optimization and adjustment, the modeling precision is improved, manual intervention is reduced, and computing resources are saved.

The invention relates to the technical field of Internet of Things security, and provides a security authentication method and system for an Internet of Things device, a medium and a device, and the method comprises the steps: responding to an authentication request of the Internet of Things device, the authentication request comprising a unique identifier, a current timestamp and a comprehensive feature vector of the Internet of Things device; after the current timestamp and the comprehensive feature vector are connected, generating a random challenge value through a random function and sending the random challenge value to obtain a returned Internet of Things equipment response value; after the authentication key, the comprehensive feature vector and the random challenge value are connected, an expected response value is generated through a secure hash function, and whether the Internet of Things equipment is successfully authenticated or not is judged through comparison; and if the authentication is successful, generating a session key, connecting the authentication key with the session key, and updating the authentication key through a secure hash function. The common security threats such as replay attack and man-in-the-middle attack are effectively prevented, and the uniqueness and security of each authentication are ensured.

The invention discloses a method for automatically keeping a chassis of mobile intelligent equipment horizontal on a slope, and relates to the technical field of mobile intelligent equipment.The method comprises the following specific steps that terrain detection is conducted, specifically, the current terrain condition is detected in real time through a sensor system installed on the mobile intelligent equipment, and the terrain condition is determined; comprising slope angles, soil types and rock distribution information; by integrating the sensor system and the central processing unit, real-time monitoring and intelligent analysis of slope topography and road surface conditions are achieved, mobile intelligent equipment can rapidly sense and adapt to various complex topographies including soft soil slopes, rugged rock slopes and the like, and by automatically adjusting the level of the chassis, the slope topography and the road surface conditions can be monitored and analyzed in real time. And the stability and the operation performance of the equipment on different terrains are ensured, so that the terrain adaptability of the equipment is remarkably improved, the mobile intelligent equipment can play a role in a wider environment, and the application range and the practicability of the equipment are improved.

The invention relates to the field of fan operation safety, and discloses a double-fan operation authority control system and method based on face recognition, and the system comprises an identity recognition module, a verification control module, a state feedback module, an authority management module and an abnormity monitoring module. The identity recognition module is used for collecting information of operating personnel and completing two-person in-place confirmation; the verification control module dynamically manages the double-person verification progress and adjusts an operation strategy; the state feedback module monitors the verification state in real time and generates a deviation signal for dynamically adjusting the verification strategy; the authority management module issues fan door authority and tool cabinet authority after verification is completed, and records an authority operation log; the abnormity monitoring module detects abnormal behaviors in the verification and permission using process, and when abnormity is detected, an alarm is triggered, and permission distribution is paused. According to the invention, the safety, verification efficiency and system reliability of fan operation are improved, and dynamic authority control and abnormity tracing functions are realized.

The invention discloses a topological optimization method for an optical storage integrated AC / DC system based on an adaptive algorithm, and the method comprises the following steps: obtaining an initial topological structure and operation parameters of the optical storage integrated AC / DC system, including photovoltaic power generation, configuration of an energy storage system, operation state parameters of a microgrid, and external environment parameters; optimizing and adjusting the topological structure, and dynamically generating a plurality of candidate topological structures according to system operation data and environment change which are acquired in real time; carrying out analogue simulation on the candidate topological structure, and evaluating the stability, power distribution and energy utilization efficiency of the system under different operation conditions; performing reliability analysis on the optimized topological structure, and monitoring and adjusting the topological structure of the system in real time; and performing simulation verification on the adjusted topological structure to obtain an optimal topological structure. According to the invention, the system stability, reliability and fault processing capability can be improved.

The invention discloses a method and system for flexibly formulating a product carbon footprint model based on LCA, and relates to the technical field of environmental sciences, and the method comprises the steps: determining a carbon footprint evaluation demand, and constructing an evaluation framework according to the demand; dividing the LCA data into data sets according to life cycle stages; collecting carbon emission data in a life cycle stage in real time; constructing an LSTM model for predicting the carbon emission trends of the product in different life cycle stages; and carrying out carbon footprint accounting, hotspot analysis, sensitivity analysis and uncertainty evaluation based on the LSTM model. According to the method for flexibly formulating the product carbon footprint model based on the LCA provided by the invention, flexible carbon footprint evaluation is realized through a modularized data platform and an adjustable system boundary; by combining the Internet of Things and the AI algorithm, the data acquisition accuracy and analysis efficiency are improved, manual intervention is reduced, carbon emission trend prediction and multi-dimensional analysis are realized, and the evaluation precision and decision support capability are improved.

The invention relates to the technical field of building data processing and virtual arrangement, in particular to a monitoring camera virtual arrangement method and system based on a BIM technology. The method comprises the following steps: acquiring a BIM data set; performing data preprocessing on the BIM data set to obtain a standard BIM data set; building three-dimensional structure information of the standard BIM data set is extracted, and building three-dimensional structure data is obtained; and performing spatial layout analysis on the three-dimensional structure data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structure data of the building according to the spatial layout data to generate a three-dimensional space map of the building. Therefore, through the Internet of Things technology, the data mapping technology, the virtual arrangement technology and the visualization technology, dynamic influence analysis is carried out on the environment characteristics and the scene state of the building so as to cope with the complex and changeable environment conditions of the building; and different scene requirements are met.

The invention relates to the technical field of aquatic product resource management, in particular to a protection area management planning method and system based on aquatic product resource survey data, and the method comprises the steps of data collection and preprocessing, data fusion and feature extraction, aquatic product resource evaluation and analysis, protection area management planning making, dynamic monitoring and adjustment and decision support and visual display. The method comprises the following steps: deploying aquatic product resource investigation equipment, remote sensing equipment and environment monitoring equipment, acquiring aquatic product resource data in real time, identifying key feature variables, performing partition evaluation on aquatic product resources by combining a clustering analysis method, formulating a protection area management plan, and performing resource change trend prediction through dynamic monitoring and a machine learning algorithm. Dynamic adjustment of protection area management is realized, a visual tool is used to display a resource change trend and a management state, and real-time decision support is provided for a decision department. According to the method, the management capability of the aquatic product resource protection area can be effectively improved, and a scientific guarantee is provided for ecological protection and sustainable utilization of resources.

The invention relates to the technical field of charging facility planning, and discloses an urban multi-type charging facility site selection and pricing method considering a traffic-power grid coupling network, and the method comprises the steps: constructing an electric vehicle user traffic balance model according to the traffic network data and the types of travel electric vehicle users; constructing a power distribution network optimal power flow model based on the electric vehicle charging and discharging process and the power distribution network cost; constructing a traffic-power coupling network model based on the electric vehicle user traffic balance model and the optimal power flow model of the power distribution network; a double-layer mathematical programming model is constructed, an upper layer model in the double-layer mathematical programming model is an electric vehicle multi-type charging facility site selection model, and a lower layer model in the double-layer mathematical programming model is a traffic-power coupling network model; and solving the upper-layer model based on a genetic algorithm to obtain addresses of the multiple types of charging facilities, feeding back the obtained addresses to the lower-layer model, and solving the lower-layer model based on an alternating iterative algorithm. According to the invention, multiple types of charging facilities are considered, and a more flexible charging network is constructed.

The embodiment of the invention provides a fire extinguishing path robust optimization method and device in a fire scene. The method comprises the following steps: acquiring fire kinetic parameters corresponding to a preset fire condition in a preset building; establishing a fire extinguishing path robust optimization model for the building in the fire scene based on the fire dynamic parameters; and obtaining a fire extinguishing path robust optimization result in the building fire scene through the fire extinguishing path robust optimization model and a hedera helix optimization algorithm improved by a Newton-Raphson optimization algorithm. According to the method, a fire extinguishing path robust optimization model is established based on fire kinetic parameters, and result optimization is performed based on a Hedera helix optimization algorithm improved by a Newton-Raphson optimization algorithm, so that the stability, reliability and practical operation value of the established fire extinguishing path optimization strategy are ensured.

The invention discloses a decentralized identity authentication method using a DID technology, and the method comprises the following steps: S1, generating a public key and a private key by a user, and generating an identity identifier by using the public key; s2, the user combines the identity data with the identifier, encrypts the identity data and the identifier, and stores the encrypted identity data and identifier on the block chain; s3, the third-party authentication mechanism issues a verifiable certificate based on the identifier; s4, the user manages the verifiable certificate, signs the identity verification request by using a private key, and sends the signed identity verification request to the verifier; s5, the verifier verifies the validity of the signature through the public key on the block chain; s6, recording verification time, a signature and a result, and storing the verification time, the signature and the result on the block chain; s7, the user can recover the lost private key or identity identifier through multiple signatures or other mechanisms; and S8, providing a user-friendly interface, supporting cross-platform migration of identity data, following open standards and protocols, and establishing a transparent governance mechanism. According to the method, the block chain and the advanced encryption technology are combined, and safe storage and privacy protection of identity data are realized.

The invention discloses a new media content value evaluation method and device and computer equipment. The method comprises the following steps: obtaining new media content to be evaluated; preprocessing the new media content to be evaluated to obtain a preprocessing result; performing feature extraction on the preprocessing result to obtain an extraction result; inputting the extraction result into an anti-fact causal inference model to predict a content design strategy so as to obtain a prediction result; the anti-factual causal inference model is obtained by defining intervention measures and results, combining new media content and consumer feedback data, utilizing a causal representation learning algorithm, constructing feature representation and optimizing errors, and is used for predicting consumer feedback changes under different content design strategies. Generating a value evaluation report according to the prediction result; and outputting the value evaluation report. By implementing the method provided by the invention, the accuracy and reliability of knowledge sharing blogger value evaluation can be improved.

The invention discloses a dechlorinated and detoxified fly ash-waste glass powder-slag composite alkali-activated cementing material and a preparation method thereof. The alkali-activated cementing material takes hydrated calcium aluminosilicate gel and hydrated sodium aluminosilicate gel as main components, and comprises the following raw materials: dechlorinated and detoxified fly ash, waste glass powder, slag and an alkali activator, and the alkali activator is prepared from a sodium silicate solution and a sodium hydroxide solid; the raw materials are scientifically proportioned, so that efficient resource utilization is realized, and the performance of the alkali-activated cementing material is improved. The selected precursor is rich in active mineral components such as calcium, silicon and aluminum, an alkali activator prepared by adding a sodium silicate solution and a sodium hydroxide solid provides an ideal alkaline environment for a system, and the system can generate C-A-S-H gel and N-A-S-H gel at the same time due to complementary and synergistic effects of chemical components of all the components. Therefore, the material properties of high compressive strength, moderate setting time and reaction heat balance are realized, and meanwhile, good working performance and long-term durability are realized.

The invention provides a power system anomaly detection method and system, and the method comprises the steps: carrying out the prediction of a photovoltaic panel assembly based on real-time environment parameters collected in real time and a constructed power prediction model, and obtaining theoretical power generation power data; comparing the obtained real-time power generation power data of the photovoltaic panel assembly with the theoretical power generation power data to obtain a comparison result, and determining an abnormal photovoltaic panel assembly; and performing analysis based on the image data of the abnormal photovoltaic panel assembly acquired in real time to obtain an abnormal result. According to the method, by comparing the real-time power generation power and the theoretical power generation power of the photovoltaic panel assembly, the photovoltaic panel assembly with the abnormal power generation efficiency can be rapidly identified, potential problems can be directly, effectively and timely found, energy waste and potential safety hazards caused by reduction of the power generation efficiency are avoided, and the power generation efficiency of the photovoltaic panel assembly is improved. By acquiring and analyzing the image data of the photovoltaic panel assembly in real time, the actual condition of the photovoltaic panel can be known more visually, and the accuracy of anomaly detection is improved.

The invention discloses a method for predicting the remaining service life of an energy storage battery and a related device. The method comprises the following steps of: establishing maximum discharge energy-circulation circle data of a full life cycle of the battery; sG filtering smoothing is carried out, the maximum discharge energy value of the first circle is used as an initial energy value to convert the maximum discharge energy of the single circle of the battery into SOH, standardization processing is carried out, and a time window sliding method is adopted to divide an obtained standardized data set; constructing a time sequence prediction model based on the LSTM, and training the time sequence prediction model based on the LSTM by using the standardized data set X; the method comprises the following steps: collecting discharge energy data of a to-be-tested battery in an actual operation process in an energy storage system in the (1-n) th circle, inputting the discharge energy data into a pre-trained LSTM time sequence prediction model after standardization processing, outputting predicted SOH values of the (n + 1) th circle to the Nth circle, and establishing a complete battery SOH attenuation curve in combination with the data after standardization processing to obtain the remaining service life of the battery.

The invention relates to the technical field of medical instruments, in particular to a pair of capsular scissors for cataract surgery, which comprises a first rod body, a second rod body, a first blade, a second blade, a connecting assembly, a first elastic sheet, a second elastic sheet, a rotating assembly and a telescopic assembly. Through cooperation of the connecting assembly and the rotating assembly, the force application angle during operation is changed, a cornea incision needing to be formed is reduced, subsequent patient recovery is facilitated, the situation that the cornea incision is enlarged due to vertical opening and closing of conventional capsulorhexis scissors is prevented, and the problem that capsulorhexis forceps are difficult to control the size and position of the capsulorhexis incision can be solved; compared with the prior art, the capsular membrane can be cut more accurately, the size is controllable, the cutting edge is smooth, follow-up patient recovery and surgical operation are facilitated, the operability when the cutting angle is reduced is ensured through the telescopic assembly and the elastic piece, the surgical accuracy is improved, and damage to intraocular tissue in the surgical process is prevented; and the safety and the effect of the operation are improved.

The invention relates to the technical field of artificial intelligence, in particular to a translation method and device based on a language translation model.The method comprises the steps that in target medical equipment, a preset translation plug-in is loaded, and the preset translation plug-in is used for conversion of multiple languages; running the preset translation plug-in, and translating a to-be-translated text in the target medical equipment to obtain a target language text; and displaying the target language text in a display interface corresponding to the target medical equipment. According to the method, the preset translation plug-in is loaded in the target medical equipment, automatic conversion of multiple languages can be realized, the translation efficiency is greatly improved, the time and the cost of manual translation are reduced, and the to-be-translated text in the target medical equipment is translated by running the preset translation plug-in, so that the translation efficiency of the to-be-translated text in the target medical equipment is improved. The text can be quickly and accurately converted into the target language text, it is ensured that a user can operate and understand the text through a native language or a familiar language, and the user experience is improved.

The invention provides a central air-conditioning participation demand response time-lag effect analysis method, which comprises the following steps of: constructing a simplified time-lag effect calculation model according to a building body shape and an air-conditioning system design specification; an actual building case is selected, and the time-delay effect calculation model is further verified; on the basis of the verified case, an air conditioning system simulation platform is built, external data and built-in data are read, and the external data and the built-in data are sorted and stored in a working area; and a demand response operation scene is simulated on the air conditioning system simulation platform, and the influence of the time-lag effect on the cooling capacity and the thermal comfort of the tail end of the air conditioning system is evaluated by comparing simulation data with external data and built-in data. According to the method, through deep analysis of the time-lag effect, the operation strategy of the air conditioning system can be optimized, and the regulation and control effect and precision of the air conditioning system in demand response are improved.

The invention discloses a joint control system and method for electric hand braking of a rail wagon and the rail wagon, the joint control system comprises an electric hand braking machine, a hand braking control device, a junction box, a single vehicle controller CCID and a train bus cable, the electric hand braking machine is connected with the junction box through a hand braking sensing cable; one end of the hand brake control device is connected with a hand brake sensing cable and is connected with the electric hand brake, the other end of the hand brake control device is connected with the junction box through the electric hand brake, the junction box is connected with the single vehicle controller CCID through the hand brake sensing cable, and the single vehicle controller CCID is connected with a locomotive control room through the train bus cable. According to the invention, the inherent manual braking function of the hand brake is not influenced, braking can still be implemented by manually rotating the hand wheel of the hand brake, and relieving can still be manually completed by moving the relieving handle.

The invention discloses a planning method for automatic coal raking action of an excavator, which comprises the following steps of: acquiring length data of hydraulic rods of each mechanism of the excavator in real time through a displacement sensor arranged on the excavator, and calculating the posture of each mechanism of the excavator and the position of a current grab bucket; installing a solid-state laser radar in front of the excavator to scan environment information, identifying the form and height of a coal pile, and obtaining form data of the coal pile; the solid laser radar is adopted to calibrate the specific pose of the excavator, coordinate parameters of the grab bucket relative to the center pose of the excavator are obtained, a trajectory tracking model based on the coal pile form data is established, and the motion path of the grab bucket of the excavator relative to the coal pile form data is obtained in real time; the method comprises the following steps: acquiring path nodes of a motion path by adopting an adaptive path planning algorithm, performing global path search on the path nodes, dynamically adjusting the path by adopting a fusion algorithm, and planning a global optimal path, so that the precision and operability of path planning are ensured, and real-time automatic coal raking action is realized.

The invention provides a wind power blade flight maintenance operation system which is characterized by comprising an unmanned aerial vehicle used for conveying a detection robot to a wind power blade and bringing the detection robot back after the detection robot completes operation; the detection robot can be adsorbed on the fan blade and is used for detecting the performance of the wind power blade; and the releasing and recycling mechanism is mounted on the unmanned aerial vehicle and can be in butt joint with and separated from the detection robot under the control of the intelligent system. The unmanned aerial vehicle can carry the detection robot to fly and make contact with the wind power blade, the detection robot is placed on the wind power blade through the releasing and recycling mechanism, then the unmanned aerial vehicle flies back, and the detection robot detects the wind power blade; and the unmanned aerial vehicle takes off and is combined with the detection robot through the release and recovery mechanism to take back the detection robot, so that the problems of dangerousness of traditional manual operation, difficulty in mounting blades on an adsorption type operation robot and the like are solved.

The invention discloses a freezing method for a load record of an intelligent flexible adjusting unit. According to the method, system configuration is analyzed and adjusted according to historical data, different scenes are rapidly adapted, and system adaptability and response efficiency are improved; the real-time current, voltage and electric energy quality are deeply analyzed, the load trend is predicted, and the adjustment accuracy and the intelligent decision-making capability are enhanced; recording intervals are automatically adjusted according to load changes, time periods and user characteristics, and fine control over data recording is achieved; non-critical data are intelligently identified and preferentially compressed, storage distribution is optimized, and the processing efficiency is improved; multi-format packaging is supported, and interoperability and data sharing convenience are improved; it is ensured that key data can be recorded outside an unconventional interval, response to abnormity and predictive maintenance is enhanced, and data integrity is ensured; through double verification, encryption and digital signature, the data security is ensured; efficient backup and disaster recovery are realized, data persistence and rapid recovery are ensured, and data security and service continuity are ensured.

The invention belongs to the technical field of grounding wires, and discloses an intelligent short-circuit grounding wire monitoring device and method based on multiple sensors and a block chain. The device comprises a multi-sensor module, a Beidou positioning module, a sensor data acquisition module, a positioning data acquisition module, an artificial intelligence algorithm module, a data fusion algorithm module, a main control module, a sound-light alarm module and an NB-IoT communication module, wherein the multi-sensor module is used for acquiring use state data of the short-circuit grounding wire; the Beidou positioning module is used for acquiring positioning data of the short-circuit grounding wire; the system comprises an Internet of Things network platform, a background server, a block chain system, a monitoring platform, a terminal and a power supply module. The system is suitable for monitoring the intelligent short-circuit grounding wire through a multi-sensor and block chain system, carrying out the electricity verification of a line, and monitoring whether the short-circuit grounding wire is firmly hung and the position of the short-circuit grounding wire, thereby greatly improving the intelligent degree and informatization degree of the power grid maintenance work, and improving the operation efficiency and safety.

The invention relates to the technical field of ecological environment, and discloses a habitat quality evaluation method and device. The method comprises the following steps: acquiring habitat data of a target river section; processing the habitat data, and determining target data corresponding to a plurality of preset ecological indexes; evaluating the target data according to a preset evaluation index system to obtain an actual evaluation level corresponding to the target data; wherein the evaluation index system comprises a plurality of evaluation grades corresponding to the ecological indexes and evaluation standard data corresponding to the evaluation grades; automatically generating a habitat quality assessment map corresponding to the target river section according to the actual assessment level; wherein different evaluation grades are marked in the habitat quality evaluation diagram through different colors. By implementing the technical scheme of the invention, rapid and comprehensive evaluation and visual presentation of the ecological environment of the river section can be realized.

The utility model discloses a coupler for an automatic coupler of a railway vehicle, which belongs to the technical field of railway trains and comprises a mounting seat, connecting seats are arranged on two sides of the mounting seat, a first bearing plate and a second bearing plate are respectively arranged on the two connecting seats, and sliding bearings are rotatably connected onto the first bearing plate and the second bearing plate. A car coupler lock pin shaft is arranged between the two sliding bearings, a first clamping jaw is fixedly connected to the side, away from the first bearing plate, of the car coupler lock pin shaft, a second clamping jaw is connected to the first clamping jaw in a clamped mode, the second clamping jaw is rotationally connected into a bearing seat, and the bearing seat is fixedly connected to a second connecting seat. The side, away from the first clamping jaw, of the second clamping jaw is fixedly connected with a ball head connecting assembly, the slight dislocation phenomenon can be avoided when the coupler for the car coupler is assembled, and the situation that the connecting stability of a hook system is lowered, and hitching or unhooking of the car coupler is not facilitated is avoided.

The invention discloses a method for identifying Xinhui pericarpium citri reticulatae and pericarpium citri reticulatae, which is characterized in that four active ingredients including hesperidin, nobiletin, tangeretin and 2-methylamino methyl benzoate are simultaneously detected through high performance liquid chromatography, and distinguishing is realized according to detection data. The method comprises the following specific steps: preparing a mixed reference solution and a test solution, extracting a test with methanol, performing ultrasonic treatment, and filtering, specific chromatographic conditions are adopted for detection, the detection wavelength of the hesperidin is 283nm, and the detection wavelengths of the other three components are 330nm. Test results show that the contents of the four active ingredients in the Xinhui pericarpium citri reticulatae are high, the content of methyl 2-methylaminobenzoate is not lower than 0.020%, the ratio of the total amount of nobiletin and tangeretin to hesperidin is not lower than 0.17, and related indexes of the pericarpium citri reticulatae are remarkably low. The method is efficient, accurate, stable and reliable, and provides technical support for standardizing market circulation, guaranteeing product quality and promoting standardized development of the Xinhui pericarpium citri reticulatae industry.

The present invention discloses a human papillomavirus typing primer set for targeted pathogen high-throughput sequencing and a screening method thereof. The primer set of the present invention has the advantages of high specificity, good stability, absence of primer dimers and hairpin structures, low cost, etc., and can be applied to targeted amplification, library construction, targeted pathogen high-throughput sequencing and subsequent bioinformatics analysis of pathogen-infected samples, and can efficiently and accurately detect and classify multiple HPV types.

The invention discloses a kitchen fire hazard intelligent processing system, and relates to the technical field of smart home, the system comprises a multi-sensor module, an intelligent data analysis module and an automatic control module; the multi-sensor module is used for acquiring kitchen environment parameters; the intelligent data analysis module is used for determining whether abnormal conditions exist or not according to the kitchen environment parameters; the automatic control module is connected with the gas main valve; according to the intelligent gas stove disclosed by the invention, the intelligent data analysis module and the automatic control module are arranged, so that the fire risk caused by forgetting to close the gas stove can be prevented, and the family safety is comprehensively enhanced.

The invention discloses a miniaturized portable microwave hemostasis system, and relates to the field of microwave ablation medical instruments, the miniaturized portable microwave hemostasis system comprises a host and a handheld front end, and the host and the handheld front end are connected through wireless communication; a battery power supply module, an ultrasonic diagnosis and navigation module, a microwave solid-state source, an ultraviolet disinfection module and a circulating water cooling module are arranged in the host. Through cooperative work of the host and the handheld front end, medical staff can immediately perform efficient hemostasis treatment on a wounded person without depending on a complex operating room environment, so that the emergency rescue process is greatly accelerated, the treatment time window is effectively shortened, the survival rate of the wounded person is remarkably increased, and the medical staff can conveniently and quickly carry out hemostasis treatment on the wounded person. And the efficiency of medical rescue actions is improved.