36results about How to "Effective preventive measures" patented technology

The invention discloses a crane barrier monitoring and prewarning method and system based on binocular vision. The method includes the steps that a binocular vision model is established, and relevant parameters are initialized; images are acquired in real time and preprocessed; target edges are detected, and the characteristics of the images are extracted; the left images and the right images are registered, and a common area is segmented; iteration is repeatedly conducted, and foregrounds and backgrounds are distinguished; three-dimensional information is rebuilt, and the foregrounds and barriers are recognized; motion parameters are resolved, and prewarning information is analyzed and output. According to the crane barrier monitoring and prewarning method and system, a binocular vision system is adopted, the working environment of a crane is monitored in real time, the problem of preventing collision of the crane is effectively solved, and the system has the advantages of being high in efficiency, moderate in accuracy, simple in structure, low in cost, and very suitable for online, non-contact product detection and quality control on a manufacturing site.

The invention discloses a vehicle regulating and controlling method of lowering a probability of traffic accidents of different severity. The method includes the steps: (10) obtaining traffic information of an accident road section; (20) collecting traffic data of the accident road section before accidents happen; (30) collecting the traffic data of the accident road section in a normal state; (40) setting up a traffic flow data sample; (50) setting up a probability function of the traffic accidents of three stages after standardization; (60) measuring and calculating the probability of occurrence of the traffic accidents of the different severity; (70) measuring and calculating a probability threshold value of the traffic accidents of the different severity; (80) detecting the probability of the traffic accidents of the different severity of the road section in real time, and regulating and controlling vehicles; and (90) repeating the step (80), carrying out detection on the probability of the traffic accidents on the road section in following set time T, and regulating and controlling the vehicles until the detection is finished. The vehicle regulating and controlling method detects the probability of the traffic accidents of the different severity in real time, regulates and controls the vehicles, and improves driving safety.

The invention relates to a LAMP kit for detecting PRV, an establishment method and an application thereof. The kit comprises a detection system consisting of LAMP reaction solution of four primers. Detection has verified that the kit can quickly and conveniently detect the PRV with high efficiency, high specificity and high sensitivity under 60 to 65DEG C isothermal condition, does not need any complicated instrument, can well meet the requirement on the field detection to the PRV, can distinguish PRV gE gene deletion vaccine and field strains, provides a novel technical platform for the safety detection of food, can well meet the urgent need on the field detection of the PRV, is used for the field detection of import and export quarantine, food health departments, livestock farms and the like, and is easy to be popularized and applied in a large scope.

The invention provides a preparation method of a multivalent egg yolk antibody for waterfowl. According to the technical scheme, the preparation method is characterized in that six virus antigens, covering various virus antigens such as avian reoviruses, parvovirus, gosling plague virus and duck hepatitis virus, are screened from some common and small-onset-day diseases of the waterfowl; on that basis, targeted design is carried out based on vaccine preparation, immunizing method and other perspectives, thus the valence level of each antibody in efficient immune eggs is guaranteed effectively,and the foundation is provided for clinical protection effect of the egg yolk antibody; meanwhile, the following purifying process is improved; a hollow fiber column with special molecular cut off isused for filtering and concentrating, so that most of macromolecular impurities can be removed while the antibody purity is increased, and as a result, the adverse reaction occurrence rate of the product can be decreased.

The invention provides an adjusting method and system for a water heater system capable of monitoring human health indexes in real time. The method includes the steps that an adjusting instruction is generated based on received human health indexes of all users in an area covered by an air conditioner, and the received human health indexes are detected by a wearable detection device in real time; and the outlet water temperature and the water flow speed of the water heater system are automatically adjusted according to the adjusting instruction, the environment temperature and humidity are changed to drive the human body health indexes to change, real-time interaction between a human body and the water heater system is completed, and a balanced and stable environment state meeting the requirement for human body comfort is achieved. Thus, the purpose that the water heater system adjusts water output of the water heater rapidly in real time according to the real-time monitoring/detecting technology for the human health indexes is achieved, the working efficiency and reasonability of the water heater system are improved, the human health indexes are in seamless combination with the water heater system, user-friendliness is higher, and the adjusting method and system better meet the user needs and provide a health guarantee for a user.

The invention discloses a battery, a mobile terminal and a large-current automatic cutout method therefor. The mobile terminal comprises a main board and the battery; when the battery detects current exceeding a preset threshold, the battery cuts off of power supply to enable the main board to shutdowns, so that the battery and the main board are protected, and effective preventive measures on short circuits of the battery are realized; the battery restores to supply power after the first preset time to ensure normal starting up next time; the main board detects whether the battery outputs voltage sequence or not in starting up, if so, the main board judges whether the obtained voltage sequence is the same as a pre-stored sequence or not, if so, the main board prompts a user that the shutdown of last time is abnormal, so that the abnormal condition of the mobile terminal can be prompted.

The invention discloses a forest fire on-line monitoring and early warning management system based on artificial intelligence, and the system comprises the steps: analyzing the topographic factor influence proportionality coefficient of each to-be-monitored forest sub-region through detecting each topographic parameter value of each to-be-monitored forest sub-region; monitoring each related parameter and lightning intensity index of trees in each forest sub-region to be monitored, comprehensively calculating a natural fire pre-estimation incidence coefficient of each forest sub-region to be monitored, and comparing the natural fire pre-estimation incidence coefficient with a set forest natural fire pre-estimation incidence coefficient; and screening each to-be-monitored forest sub-region greater than the set forest natural fire pre-estimation occurrence rate coefficient, and enabling the corresponding to-be-monitored forest sub-region number to be subjected to early warning reminding, so that the personnel can have enough time to take effective prevention measures, the forest ecological structure is effectively protected, and life and property safety of people around the forest is guaranteed.

The invention discloses an analysis and optimization method and system based on distribution network voltage quality causes, and the method comprises the steps: collecting related data, and carrying out the corresponding data analysis and verification; researching the influence of the data on the voltage of the power distribution network, and analyzing the causes of high and low voltage states; and utilizing the technical principle of high and low voltage comprehensive treatment of the power distribution network and differentiated high and low voltage treatment strategies of the power distribution network to analyze and optimize the cause of voltage quality. According to the method, corresponding treatment strategies are provided for optimization by visually analyzing power grid voltage quality causes, effective prevention measures are provided for increasing high and low voltage risks, evaluation and research are carried out on high and low voltage countermeasures generated in operation of the distribution network, and an efficient judgment method is simply and directly provided for production personnel.

The invention discloses an SIR model propagation threshold calculation method based on information dual feedback. The method comprises the steps that an SIR model based on information dual feedback isestablished; through two feedbacks in the model, the propagation scenario and propagation relationship of disease and information are simulated realistically; and finally, a propagation threshold inthe model is acquired through the hole theory, and the accuracy of the propagation threshold and the influence of different parameters on disease propagation are verified through simulation. The method can help people to be alert to disease propagation in real life and to take effective preventive measures, and is highly versatile.

The invention relates to a device for displaying the volatilization rate and the volatilization level of harmful substances of decorative materials, and belongs to the field of indoor environment treatment. The device comprises a test chamber, a heating plate, an indoor air pollutant treatment system, a temperature display and control device and a temperature sensor, a plurality of sampling openings are machined in the side wall of the test chamber, a heating plate and an indoor air pollutant treatment system are installed in the test chamber, the heating plate and the temperature sensor are electrically connected with a temperature display and control device, and the temperature sensor is installed in the test chamber. According to the device, the pollution emission condition of decoration building materials in a cold region indoor environment is simulated and detected; the pollutant emission levels of the building materials under different heating conditions are mastered, a corresponding pollutant treatment method is formulated according to specific environmental conditions and pollutant distribution conditions, and the device for displaying the volatilization rate and volatilization level of the harmful substances of the decoration materials is simple in structure, ingenious in design, convenient to disassemble and assemble and suitable for application and popularization.

The invention discloses a comprehensive management method and system for meteorological and power data. The method includes the following steps: acquiring the meteorological data of an area where a power grid system is located and the power grid data of the power grid system at the same time in advance, and carrying out multivariate linear fitting on the meteorological data and the power grid datato obtain a meteorological-power grid model characterizing the corresponding relationship between the meteorological data and the power grid data; acquiring the future meteorological data of the areawhere the power grid system is located in real time according to a meteorological prediction system, and combining the future meteorological data with the meteorological-power grid model to predict the future power grid data of the power grid system; and calculating the difference between the future power grid data and preset reference power grid data, and determining the degree of influence of future meteorology on the power grid system according to the magnitude of the difference. The method and the system of the application can be used to automatically determine the degree of influence offuture meteorology on the power grid system, and the determination result is accurate. Therefore, pre-protection measures can be taken for the power grid system according to the determination result,and the security and reliability of the power grid system are improved.

The invention relates to a water seepage early warning management method, equipment and device, computer equipment and a storage medium. The method comprises the steps of acquiring a first leakage state parameter and a second leakage state parameter of a floor slab corresponding to a monitoring target; determining whether the floor slab has a water seepage risk or not according to a leakage stateparameter difference between the first leakage state parameter and the second leakage state parameter; and when the water seepage risk exists, generating a corresponding water seepage early warning scheme according to the monitoring target. By the adoption of the method, a user can autonomously detect the water seepage risk of the floor where the user is located, so that the user is reminded in time before a water seepage accident happens; the timeliness of water seepage early warning is improved, and a water seepage early warning scheme is provided for the user; and therefore comprehensive and high-effectiveness water seepage early warning management is achieved.

The invention discloses a power system steady-state power flow risk identification and prevention method, a storage medium and equipment. The method comprises the steps of carrying out the probabilitymodeling of an output prediction error of a new energy unit based on prediction data and an actual data set of historical wind speed and illumination intensity, and a power characteristic curve of the new energy unit, according to the real-time prediction value of the output of the current new energy unit, obtaining a probability distribution expression of a corresponding prediction error, and performing random power flow calculation by adopting a semi-invariant method to obtain probability distribution of voltage and branch power of each node, and according to a probability distribution setthreshold, judging whether a risk of voltage and power flow boundary crossing exists at the prediction moment, in the case of no risk, carrying out calculation at the next moment, and in the case of arisk, carrying out active and reactive adjustment on the generator set, and carrying out random power flow calculation again until no risk exists. The method can accurately and efficiently identify the area and degree of the steady-state power flow risk of the power system, provide risk prevention measures, and improve the safe and stable operation capability of the power system.

A new ocular contact lens has been designed to increase the amount of light reaching the retina. The contact lens edge is chamfered to redirect and increase the light reaching the retina. A light source encircles and contacts the straight or curved chamfered edge. Additionally, a reflective cylinder and its top wall encircle the lens to block any loss of light. This distal edge of the contact lends may be rounded to increase the angle of retina visible. A new ocular imaging camera has a low-light camera subassembly with server, a photosensor next to low-light camera, a short cylindrical housing, a space between the camera subassembly and the housing, an internal program in server to detect good or poor image quality and an alarm for poor image quality, wherein an operator recaptures the image.