759 results about "Human health" patented technology

The invention relates to the technical field of health early warning, in particular to a human health early warning method and system based on physical examination data analysis, which comprises the following steps: collecting physical examination data of a human body, analyzing index changes of blood pressure, blood sugar, cholesterol and body mass index of the human body, sorting the physical examination data of the human body through time sequence sorting, and generating a time sequence sorting result. According to the method, time sequence sorting and spatial dimension evaluation are performed on the physical examination data, so that the health risk can be accurately identified and the early warning level can be dynamically evaluated, the data analysis precision is improved, the risk prediction dimension is increased, early warning is more timely and accurate, and the accuracy of early warning is improved by performing layout evaluation on the physical examination data points in a finite dimension space. Potential health abnormalities can be identified on multiple levels, and multi-dimensional analysis provides a new way for identifying complex health problems, so that health management is more active and predictable, health monitoring and risk management are optimized, and the health condition of a patient is improved.

The invention discloses a cable anti-icing coating robot which comprises a rack, a gravity closing support, a spraying mechanism, a feeding mechanism, a returning mechanism, a cleaning mechanism and a walking mechanism, and the gravity closing support facilitates in and out of a cable, achieves self-locking of the robot on the cable and prevents the robot from overturning; the spraying mechanism realizes automatic spraying, so that people are prevented from being in close contact with the coating, and human health is prevented from being harmed; the feeding mechanism provides paint for the spraying mechanism and serves as a balance weight component of the robot to enable the robot to keep balance. The material returning mechanism is used for recycling redundant paint sprayed by the spraying mechanism, so that the paint is saved, the environment is protected, and pollution is reduced; the walking mechanism drives the robot to automatically walk on the cable, and high automation of the robot is achieved. And the annular inner brush is used for firstly self-cleaning the wire and then spraying, so that the coating effect is better. According to the robot spraying method for the cable anti-icing coating, unmanned high-altitude automatic operation is achieved, and the construction quality and environmental protection benefits of the anti-icing coating are improved.

The invention discloses a data analysis and early warning method for human health monitoring, and belongs to the technical field of electroencephalogram monitoring. The method comprises the following steps: firstly, processing electroencephalogram time domain signals in sleep and waking states by using a sliding window, obtaining frequency domain signals through Fourier transform, and dividing the frequency domain signals into three frequency band signals; then, the deviations of the three frequency band signals in the frequency domain gravity center and energy in the two states are calculated respectively, and a corresponding frequency difference sequence and a corresponding energy difference sequence are obtained; then, features are extracted from the sequences, a feature matrix is constructed, the feature matrix is processed through a multi-channel multi-scale neural network, and an electroencephalogram anomaly evaluation value is obtained. And when the evaluation value exceeds a threshold value, the system triggers risk early warning, so that accurate evaluation and timely early warning of the electroencephalogram abnormality are realized.

The invention relates to the field of health condition monitoring, in particular to a human body health condition multi-mode real-time monitoring system and device. The system comprises an acquisition module configured to acquire multi-modal data in real time; the pre-processing module is configured to perform pre-processing based on the acquired multi-modal data, and the pre-processing comprises performing fusion processing on the data of each flexible pressure sensor; and the health state discrimination module is configured to obtain fusion features based on the modal data by using the trained deep learning-based multi-modal neural network based on the preprocessed multi-modal data, and then perform health state discrimination based on the fusion features. According to the technical scheme, non-contact, full-time and multi-azimuth accurate and reliable monitoring of human health medical key information in various living environments can be achieved, the requirements of various scenes such as homes, hospitals and outdoors are met, and powerful technical support is provided for early warning of serious diseases.

The invention relates to the technical field of intelligent closestools, in particular to an intelligent closestool with human health monitoring analysis and early warning functions, which comprises an identity recognition module, a multi-source sensing module, an internet of things module, an intelligent analysis module and a user terminal module, the intelligent analysis module performs deep integration and analysis on the multi-modal time series data in the cloud database based on a large language model, generates a personalized health portrait, identifies a potential pathological phenomenon, triggers disease early warning, and constructs a health assessment model through a model fine tuning method in combination with a medical knowledge base; and outputting a personalized health analysis report and a health intervention suggestion. The multi-source sensing module is integrated, multi-dimensional health data can be collected in real time, the problems that in the prior art, the data collection dimension is single and means are limited are solved, the complex health state of the human body is comprehensively reflected, the situation that an existing analysis method is single is broken through, and the potential value of data is fully mined; and a complex scene with individual difference and coexistence of multiple disease species can be better handled.

The invention relates to a human body health state assessment system and assessment method based on multi-point acquisition, and the system comprises an event sensing module which is used for collecting an image data signal, a physiological signal and an environment data signal of a human body, and outputting an asynchronous pulse event flow when the signal change is detected; the pulse coding module is used for generating a space-time pulse sequence through a preset adaptive threshold coding technology; the neural network processing module is used for performing event driving processing by utilizing leakage integral distribution neurons in a preset pulse neural network according to the space-time pulse sequence to obtain a current health characteristic pulse mode; and the health state decoding module is used for obtaining a health state score and a risk classification result of the current human body through a preset pulse distribution rate analysis algorithm and a preset time sequence decoding technology according to the current health characteristic pulse mode. Therefore, the problems of high power consumption, high delay, low data transmission efficiency, low early pathological feature recognition accuracy and the like of a human health state evaluation system are solved.

The invention belongs to the technical field of medical health monitoring, and provides a human health prediction method and system based on facial video physiological signal detection, and the method comprises the steps: collecting a facial video stream, and extracting time sequence physiological signals such as heart rate, HRV, respiratory rate and the like through an rPPG algorithm; constructing a graph database individual health portrait in combination with multi-scale time sequence alignment; adopting a dynamic threshold algorithm to detect instantaneous anomaly, and fusing nonlinear dynamics and waveform morphological characteristics to quantify anomaly; constructing a hybrid model, extracting space-time and high-order features, and modeling multi-parameter interaction; a prediction result is dynamically corrected based on a Bayesian algorithm, and health risk layering is realized through clustering; and outputting the visual health report. Through non-contact monitoring, multi-modal fusion and edge-cloud collaborative architecture, the problems that traditional equipment is low in compliance, non-contact technology is insufficient in precision and prediction is shallow are solved, dynamic health prediction and closed-loop management are achieved, and the system is suitable for scenes such as remote monitoring and chronic disease screening.

The invention discloses an atmospheric environment exercise health monitoring method and system, and the method comprises the steps: S1, generating a pollution level distribution diagram based on air quality index data collected in real time, S2, determining an air quality risk value of a current region according to the pollution level distribution diagram, and S3, determining the air quality risk value of the current region according to the air quality risk value. S3, based on the air quality risk value, calculating a dynamic movement duration threshold value adaptive to human health; S4, regulating and controlling the actual movement duration of the user according to the dynamic movement duration threshold value so as to prevent pollutant inhalation from exceeding the standard; according to the atmospheric environment movement health monitoring method and monitoring system, the movement duration is regulated and controlled according to the real-time fluctuation of the air quality index, so that the problem that pollutants inhaled by the human body exceed the standard is solved.

The invention discloses a human body life health management method and system based on AI twinborn digital humans, and the method comprises the steps: collecting human body life health data in multiple dimensions, comprehensively and deeply collecting human body health information, breaking through the limitation of single traditional health management data, and providing a rich data basis for precise health analysis; through combination of an artificial intelligence model and a medical professional field knowledge base, deep mining and intelligent analysis can be performed on complex health data, multi-system / organ physiological age prediction, early risk prediction of diseases, accurate diagnosis and personalized health guidance are realized, and scientificity and effectiveness of health management are improved; based on the AI twinborn digital human generated by the user in a personalized manner, health management service is provided for the user in a visual and intimate manner, the sense of participation and acceptability of the user are enhanced, and the requirements of the user for personalized health service are met, so that the method has the advantages of high intelligent degree and good interaction effect.

The invention discloses a shoulder and neck fatigue monitoring and reminding system based on flexible multi-mode sensing, and belongs to the field of human health monitoring. Aiming at the problems of single shoulder and neck fatigue monitoring means, poor comfort, lack of personalized reminding and the like in the prior art, the invention provides a complete solution comprising signal acquisition, signal processing, wireless communication and intelligent reminding. According to the system, a flexible multi-mode sensor is adopted to collect electromyographic signals and strain signals, a machine learning algorithm is combined to evaluate the fatigue degree, a low-power-consumption Bluetooth technology is utilized to transmit data to mobile equipment, and multi-mode reminding is carried out through a smart phone. The shoulder and neck fatigue state can be evaluated more comprehensively and accurately, personalized reminding and intervention are achieved, shoulder and neck diseases can be effectively prevented and relieved, and working efficiency and life quality are improved.

The invention discloses a prediction marker and a prediction method for acute upper respiratory infection susceptibility. The prediction marker and the prediction method are used for solving the problem that current acute upper respiratory infection susceptibility risk prediction is low in accuracy. The method comprises the following steps: firstly, providing a prediction marker for acute upper respiratory infection susceptibility, wherein the prediction marker is a prediction feature combination obtained by comprehensively considering human health state blood routine data and baseline blood transcriptome data and carrying out feature processing; secondly, providing a prediction method, and obtaining a to-be-detected blood sample; and performing blood analysis based on a to-be-detected blood sample, inputting the obtained blood routine sample and the gene expression sample into a susceptibility prediction model pre-trained based on a prediction marker for susceptibility risk judgment, and obtaining a susceptibility risk assessment result of acute upper respiratory infection of a human body corresponding to the to-be-detected blood sample in a future period of time, therefore, the acute upper respiratory infection susceptibility risk of the human body in a period of time in the future can be simply, quickly and accurately predicted.

The present invention discloses a zero-fat zero-sucrose whipping cream, which comprises, by mass percentage, 3-5% compound protein powder, 20-30% maltodextrin, 1-3% compound stabilizer, 1-3% dietary fiber powder, 0-0.3% acidity regulator, and water added to 100%. The above raw materials are fully mixed to obtain a mixed powder; water is slowly added to the powder and stirred until completely mixed; a blender is used to whip for 6-8 minutes until soft peaks and a semi-solid state appear to obtain zero-fat zero-sucrose whipping cream. The zero-fat zero-sucrose whipping cream of the present invention has the characteristics of low calories and zero fat, and solves the problem of product quality degradation caused by reducing fat and sugar content in the prior art. The product is beneficial to human health, is easy to operate, has low production cost, and has high production efficiency. It also has a short whipping time, good whipping rate and stability, excellent decorating ability, and satisfactory taste and flavor.

The domino type mouse repelling device for the transformer substation comprises a controller, an infrared camera and four groups of repelling branch assemblies, and the four groups of repelling branch assemblies are in a square distribution state after being in butt joint end to end. Each driving branch assembly comprises a positioning support, a movable supporting frame, a first lifting mechanism, a second lifting mechanism, a straightening guide cover, a domino, a photoelectric detection switch and a stirring mechanism. According to the device, rats are repelled through the impact sound generated when the multiple dominos are sequentially dumped, potential influences on the ecological environment and human health do not exist, and meanwhile, the dominos are arranged on the periphery of the transformer substation, so that the rats can be repelled in an all-around mode.

The invention provides a probiotic-loaded dual-network hydrogel as well as a preparation method and application thereof, and belongs to the technical field of probiotic embedding materials. The preparation method is simple to operate, the cross-linking reaction of the double-network hydrogel can be realized under mild conditions, and energy is saved. The prepared double-network hydrogel has high probiotic packaging efficiency, the packaging efficiency is 92.7% or above, and the double-network hydrogel has excellent gastric acid resistance and storage stability, so that the activity of the probiotics in gastrointestinal tracts is improved, and the double-network hydrogel is beneficial to human health. Besides, the preparation method provided by the invention is simple to operate, controllable, safe, low in cost and suitable for large-scale industrial production and processing, and has wide application prospects in the industries of food, health care products, daily chemical products, medicines and the like.

The invention discloses a feed additive for synergistically improving oxidative stress resistance of broiler chickens based on oleuropein-luteoloside-maslinic acid ternary combination and application of the feed additive, the feed additive is the olea europaea leaf extract, the total polyphenol content of the feed additive is about 52%, the total flavone content is 7%, and the total flavone content is 5%. The feed is mainly composed of oleuropein, luteolin-7-beta-glucoside and maslinic acid, the oleuropein, the luteolin-7-beta-glucoside and the maslinic acid are sequentially added in a molar ratio of 6: 1: 1 to generate a synergistic anti-oxidative stress effect, and when the feed is applied to breeding on the basis of corn-soybean daily ration of broilers, the daily gain of the broilers can be obviously increased, the feed conversion ratio is reduced, and the feed conversion rate is increased. The intestinal micro-ecological health, the anti-oxidative stress effect and the organism immunity are improved, and the infection rate and the death rate of intestinal diseases such as diarrhea of broilers are reduced. The product has the advantages of being simple and convenient to prepare and use, free of toxic and side effects, beneficial to broiler chicken growth and human health, free of the problems of drug resistance, drug residues and the like, and capable of promoting chicken meat quality improvement and the like.

The invention relates to a preparation method of dual-network ionic conductive gel, which comprises the following steps: firstly, mixing and dissolving a synthesized sulfonic aromatic liquid crystal phase polymer, an acrylic monomer, an initiator and a cross-linking agent into water, and then transferring into a glass mold for heating and polymerizing in a water bath to obtain hydrogel; and soaking the hydrogel into an ionic liquid aqueous solution, and drying and dewatering in a vacuum oven to obtain the double-network ionic conductive gel with super-strong toughness. The dual-network ionic conductive gel prepared by the invention has excellent synergistic properties including high modulus, good flexibility, high elongation at break, thermal stability and high sensitivity, and can realize ultrahigh ionic conductivity under an anhydrous condition. The dual-network ion-to-point gel can be used as a sensor to be applied to wearable equipment, human health and movement conditions are monitored in real time, large stress possibly encountered in the human movement process is monitored, and the dual-network ion-to-point gel has wide application prospects in wearable monitoring equipment.

The invention discloses bacillus Witzmannii for inhibiting phytopathogen and application of the bacillus Witzmannii, relates to the field of biological prevention and control, and aims to solve the problem that chemical prevention and control methods of phytopathogen cause negative effects on ecological environment and human health. The bacillus wiedmannii is bacillus wiedmannii SJZ and is preserved in the China Center for Type Culture Collection, the preservation date is December 23, 2024, and the preservation number is CCTCC (China Center for Type Culture Collection) NO: M 20242884. The bacillus vetzmannii disclosed by the invention can be used for inhibiting sclerotinia sclerotiorum and solanum nigrum. And protease, cellulase and chitinase can be secreted. The bacillus vetzmannii is used for nitrogen fixation and can secrete siderophores and IAA (indoleacetic acid).

The invention belongs to the technical field of lampshade preparation, and particularly discloses a preparation process of a multi-element composite modified epoxy resin lampshade, which comprises the following steps: S1, element ionization: converting multiple elements into ionic liquid; s2, mixing and synthesizing: uniformly mixing the ionic liquid and epoxy resin according to a ratio of 1: 100 to form a composite material; s3, molding processing: injecting the mixed material into a mold, and cooling; s4, curing treatment is conducted, specifically, the LED lampshade is formed after the materials in the mold are cured; and S5, quality detection: carrying out performance detection on the LED lampshade. The LED lampshade with the health promoting function is manufactured by converting various elements into the ionic liquid and synthesizing the ionic liquid with the epoxy resin, the lampshade and the lamp beads are combined, the lighting function is achieved, the flicker frequency of lamplight can be controlled, vibration matched with the natural frequency of human organs is released, human health is promoted, and the LED lampshade has the health promoting function. And various physiological and psychological benefits are realized.

The invention provides a flexible wearable multi-physiological-parameter monitoring device, and relates to the technical field of wearable medical instruments.The garment body comprises a flexible conductive fiber layer, a sensing center layer and an elastic protection layer which are attached to the human body; the sensor module in the sensor central layer is connected with the control module, and the power supply module is connected with the sensor module and the control module; the sensor module collects bioelectricity signals of a human body and transmits the bioelectricity signals to the control module, and the control module analyzes and processes the bioelectricity signals to obtain physiological parameters; a sensor in the sensor module is made of a flexible electronic material, the sensor module comprises a body temperature acquisition module, a blood pressure and blood oxygen acquisition module and an electrocardio acquisition module, and the blood pressure and blood oxygen acquisition module acquires a blood pressure signal and a blood oxygen signal by utilizing a photoelectric volume pulse wave tracing method. The equipment is high in integration level, comprehensive and dynamic monitoring of human health indexes is achieved, the accuracy of physiological parameter reading and monitoring result obtaining is improved, the wearing comfort is improved, and the equipment is suitable for the outdoor environment.

The invention discloses a method for evaluating human health by airborne pollutants, and belongs to the technical field of pollutant evaluation, and the method comprises the following steps: S1, simulating a real exposure environment, constructing an airborne pollutant exposure simulation system, S2, systematically monitoring multiple organ indexes, and systematically monitoring pollutants, and S3, carrying out interdisciplinary comprehensive analysis and evaluation. A research team formed by environmental science, medicine and molecular biology multidisciplinary professionals is established, key organ damage is analyzed, the influence of pollutants on human health is comprehensively evaluated, the research design is close to the real environment by simulating the real exposure environment, the whole process of the pollutants from exposure to excretion can be simulated, and the real exposure environment is simulated. A scientific basis is provided for evaluating the health risk of the pollutants, meanwhile, through the propagation path of the pollutants in the human body, multiple organ damages are connected in series, a systematic research framework is formed, and the limitation of single organ analysis in traditional research is avoided.

The utility model relates to the technical field of straw smashing and returning, in particular to a novel auxiliary device of a straw smashing and returning machine. According to the technical scheme, the novel straw smashing and returning machine auxiliary device comprises a supporting plate, a conveying mechanism, handrails, a damping mechanism, a smashing mechanism, a baffle and a telescopic mechanism, the conveying mechanism is arranged on the upper side of the supporting plate, the handrails are arranged on the front side and the rear side of the conveying mechanism, and the damping mechanism is arranged on the lower side of the supporting plate; the damping mechanisms are located in front of and behind the lower side of the supporting plate, the crushing mechanism is arranged on the lower side of the supporting plate, the damping mechanisms are located in front of and behind the crushing mechanism, and the baffle is arranged on the lower side of the supporting plate. And meanwhile, the dust suppression effect is achieved on raised straw residues, the situation that the straw residues pollute the environment and damage human health is avoided, and the practicability of the auxiliary device of the straw smashing and returning machine is improved.

The invention discloses an anti-icing coating robot capable of automatically adjusting balance, the anti-icing coating robot comprises a rack, a spraying mechanism, a feeding mechanism, a returning mechanism and a walking mechanism, the whole robot is hung on an unmanned aerial vehicle through a lifting hook of the rack and is carried to a cable by the unmanned aerial vehicle, and the anti-icing coating robot is suitable for various terrain environments; the spraying mechanism realizes automatic spraying, so that people are prevented from being in close contact with the coating, and human health is prevented from being harmed; the feeding mechanism provides paint for the spraying mechanism, serves as a balance weight component of the robot and achieves automatic balance adjustment, so that the robot is kept balanced. The material returning mechanism is used for recycling redundant paint sprayed by the spraying mechanism, so that the paint is saved, the environment is protected, and pollution is reduced; the walking mechanism drives the robot to automatically walk on the cable, and high automation of the robot is achieved. According to the balance adjusting method, the anti-icing coating robot can maintain the stable posture in a self-adaptive mode in the cable spraying operation, the safety of high-altitude operation is guaranteed, and unmanned intelligent operation and maintenance are truly achieved.

The invention discloses a benzene-free environment-friendly plastic printing ink diluent and a preparation method thereof, and relates to the field of chemical engineering. The environment-friendly flame retardant is prepared from the following components in parts by weight: 10 to 25 parts of ethyl acetate, 8 to 15 parts of refined methyl acetate, 5 to 10 parts of butyl acetate, 10 to 30 parts of dimethyl carbonate, 6 to 15 parts of methylal, 10 to 20 parts of propyl acetate, 2 to 7 parts of dibasic acid ester, 3 to 10 parts of propylene glycol monomethyl ether, 7 to 15 parts of isopropanol and 3 to 9 parts of propylene carbonate. According to the present invention, the ethyl acetate, the dimethyl carbonate and other benzene-free solvents are adopted to replace the traditional benzene-series solvent, such that the benzene-free environmental protection target is achieved, the environmental residue and the human health risk are substantially reduced, in addition, the propylene carbonate, the dibasic acid ester and the like in the formula further have the biodegradability, the environmental protection performance of the diluent is further improved, and the environmental protection performance of the diluent is further improved. The cost of the prepared benzene-free environment-friendly plastic printing ink diluent is remarkably reduced compared with that of an imported diluent.

The invention discloses dust fall equipment for a building construction site, and relates to the technical field of dust fall, and the dust fall equipment comprises a dust fall device. According to the dust falling equipment for the building construction site, the dust falling device is designed and makes contact with the ground through the stabilizing mechanism, so that the contact area between the dust falling equipment and the ground is increased, the friction force of components to the ground is improved, dust in the building construction site is absorbed through wind power generated by the pneumatic mechanism, the dust falling effect is achieved, human health is protected, and the disease risk is reduced; dust is guided through the guide plate, the flowing speed in the dust equipment is increased, dust residues in the equipment are reduced, liquid is sprayed into a site through the spraying device, so that the dust falling effect is achieved, the airflow flowing direction is changed through the pneumatic mechanism, the pneumatic mechanism is matched with the spraying device, and the dust falling effect is improved. In the process that the spraying device sprays the site liquid for dust falling, the liquid spraying range is enlarged through wind power, so that the site dust falling efficiency is improved, and the equipment spraying range is enlarged.

The invention provides an underground water source water quality early warning method and system for environmental safety, and relates to the technical field of environmental protection and water quality safety, and the method comprises the steps: obtaining a plurality of water quality indexes of an underground water source in different historical periods and index values corresponding to the water quality indexes; screening the water quality indexes by combining a Lasso regression model and an FISTA algorithm, and determining key water quality indexes; constructing a two-dimensional tensor according to the key water quality index and the index value; constructing a water body pollution prediction model based on CNN and LSTM in combination with an attention mechanism; inputting the two-dimensional tensor into a water body pollution prediction model, and determining a pollution factor concentration; calculating the deviation between the pollution factor concentration and the pollution factor threshold value, and determining the water quality risk grade; and performing early warning on the water quality of the underground water source by combining an early warning grading strategy according to the water quality risk grade. The water quality safety of the underground water source can be ensured, and potential threats to the environment and human health are reduced.

The invention relates to the technical field of food processing, and discloses a microcapsule embedding technology for maintaining the brittleness and flavor of an instant konjac product, and the technology comprises the following steps: S1, preparing a composite wall material; s2, mixing the flavor substance and the functional additive; s3, preparing and embedding the microcapsules; and S4, treating and forming the microencapsulated konjak product. Through the synergistic effect of the composite wall material, the flavor stability and brittleness maintaining capability of the konjak product can be remarkably improved, the shelf life of the product is prolonged, various components in the composite wall material play different functions and complement each other, the loss and oxidation of flavor substances are effectively prevented, and meanwhile, the structural stability of the konjak product is maintained; the microcapsule embedding process is beneficial to keeping the color and taste of the konjak product, consumers can enjoy better experience when eating the konjak product, and part of components in the microcapsules have certain nutrition and health care functions and are beneficial to human health.

The invention provides an SERS (Surface Enhanced Raman Scattering) sensing chip with a conical periodic array structure as well as a preparation method and application of the SERS sensing chip. The SERS sensing chip with the conical periodic array structure comprises a conical periodic array structure substrate, a metal layer, a hollow dielectric layer and a metal nanoparticle layer which are sequentially stacked. The SERS sensor chip has the advantages of high enhancement performance, high detection sensitivity, uniform detection signals and the like, and is widely applied to the fields of environment detection, food safety, industrial production, human health detection and the like.

The invention discloses a smart home human health monitoring method based on feature fusion, and relates to the technical field of human health monitoring. The method comprises the following steps: acquiring a monitoring video image shot by a smart home product, and carrying out key human body region detection and related label labeling on the video image to obtain an image data set with a label; constructing a human health monitoring large model, wherein the human health monitoring large model comprises an attention-guided multi-stage feature fusion module, a balance feature normalization module, a mixed mode alignment module and a noise suppression affinity matching module; performing end-to-end training on the human health monitoring large model by using the image data set with the label; and inputting the visible light image and the infrared image containing the human body signs of the to-be-monitored person into the trained human body health monitoring large model for reasoning to obtain a health state prediction result of the to-be-monitored person. In the monitoring process, the abnormal condition of the human body is monitored in real time according to the recognition result, and the health change of the user is responded in time.

The invention discloses a centralized control operation and maintenance system and equipment of a transformer substation and a storage medium. A central management module is used for analyzing and integrating data, generating a scheduling instruction and distributing the scheduling instruction to a corresponding module, and evaluating the health condition of the equipment; the substation intelligent inspection module is used for planning an inspection route for the inspection robot and acquiring inspection data; monitoring the operation environment, the equipment state and the gas information of each equipment; the high-voltage cable fault early warning module is used for monitoring the temperature, the sheath ring current, the operating environment and the partial discharge value of the high-voltage cable; the electrical monitoring module is used for acquiring operation data of a power system and carrying out abnormity monitoring; the fault recording module is used for recording the change waveform of the operation data before and after the abnormity according to the alarm information / abnormity monitoring result; and the electrical anti-misoperation module is used for carrying out simulation rehearsal and logic judgment on switching operation. The problems of large workload, low efficiency, low accuracy and influence on human health due to the fact that an existing inspection, operation and maintenance method of the transformer substation is mainly completed manually are solved.

The invention belongs to the field of intelligent soft materials, and discloses conductive eutectic gel with high stretchability, ionic conductivity, low temperature resistance and self-repairing performance and a preparation method and application thereof. The eutectic gel is composed of a deep eutectic solvent, a polymer monomer, keratin, PDA (at) Ag, a cross-linking agent, an initiator and pure water. According to strain sensing related tests, the gel has excellent strain sensing performance, and it is proved that the gel has excellent sensitivity and strain sensing performance and has application potential in the fields of high and low temperature severe environment monitoring, human health monitoring and motion detection.