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182results about How to "Recover damages" patented technology

IoT (Internet of Things) based automatic-control building fire-fighting alarm system

The invention relates to an IoT based automatic-control building fire-fighting alarm system which comprises fire hazard detection units, a manual alarm, a fire hazard alarm controller, an onsite alarmsystem and a fire extinguishing linkage system. Each of the fire detection units and the manual alarm is provided with a position module; the fire hazard alarm controller comprises a power supply module, a central processor and a controller, the central processor is connected with an input device and a 3D modeling device, the controller is connected with a network connection module, the network connection module is connected with a mobile phone APP client, and the mobile phone APP client is provided with a screen pop-up module. After that a fire hazard signal sensed manually or by a detectoris collected and processed, a fire hazard condition is published in real time in different forms especially via the mobile-phone APP client, so that people in a building or going outside can know theconcrete position of the fire hazard, a reasonable escape route can be planned in the building, extinguishing devices are controlled automatically to extinguish fire and exhaust smoke, the difficultyin escaping and fire extinguishing is reduced, and fire fighting of the building is more automatic, more efficient and safer.
Owner:江苏网域科技有限公司

Vehicle driving situation data recognition and modification method

The invention provides a vehicle driving situation data recognition and modification method. The method comprises the following steps: acquiring vehicle road driving testing data by using a vehicle speed recorder, judging the validity of a speed signal according to the positioning state of the speed signal, the continuity of a time signal, a speed limiting value method and an acceleration limiting value method; calculating the lasting time of problem data of invalid positioning, speed loss, speed over-limiting and acceleration over-limiting; judging whether the singularity data can be modified or not according to the lasting time; if the singularity data can be modified, modifying the singularity data, and if the singularity data cannot be modified, rejecting the whole group of testing data. By adopting the method, the influence that the validity of the whole testing data is reduced because of a small number of singularity data is eliminated, original data are reconstructed, the validity of the testing data is improved, the uncertainty in the process that the singularity data in the vehicle speed signal are recognized according to subjective judgment and experience and knowledge of people is solved, the accuracy and the efficiency in recognition are improved, and the vehicle speed signal recognition and modification can be repeated.
Owner:CHINA AUTOMOTIVE TECH & RES CENT

Acquisition abnormity diagnosis method adopting acquisition, operation and maintenance knowledge base

An acquisition abnormity diagnosis method adopting an acquisition, operation and maintenance knowledge base relates to the field of electricity information acquisition, operation and maintenance. Acquisition abnormity in all fields is always analyzed and judged on the dependence on personal experience at present, so the processing speed is affected, and manpower and material resources are wasted.The method comprises the following steps: 1) analyzing the running state of every terminal and every electricity meter, and qualitatively judging whether the terminals and the electricity meters run normally or not; 2) carrying out knowledge base matching on abnormalities, and listing all abnormal phenomena; 3) querying a matching diagnosis process in a diagnosis database according to the abnormalphenomena, and diagnosing the abnormal phenomena; 4) carrying out the abnormality processing on unfavorable diagnosis results according to the diagnosis results; 5) monitoring the abnormality recovery situation; and 6) storing knowledge in the database when the abnormalities are recovered. The method reduces the workload of fault analysis and solving method finding of operation and maintenance personnel, and avoids manpower and material resource wastes caused by wrong operation and maintenance methods.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER +2

Intelligent environment monitoring system

The invention discloses an intelligent environment monitoring system which comprises an information collecting unit, a PM 2.5 detecting unit, a central processor, a controller, an air purification unit and a back-end server. The information collecting unit comprises a temperature and humidity sensor, an air pressure sensor and an air speed sensor; the PM 2.5 detecting unit is used for detecting concentration data of indoor and outdoor particle matters, with the particle diameter being smaller than 2.5 [mu]m, of a fortified area; and the central processor is used for receiving electrical signals converted by all numerical values detected by the information collecting unit, and all the numerical values are compared with the threshold values of the temperature, the relative humidity, the absolute pressure intensity, the air speed, the air volume, the PM 2.5 concentration. According to the monitoring system, indoor and outdoor environment-related parameters and the PM 2.5 concentration are monitored in real time, starting and stopping of an air purification device and a temperature and humidity regulation device are automatically controlled, the indoor air quality and environmental comfort level are maintained, and the time and cost for artificial regulation and control are saved.
Owner:合肥博之泰电子科技有限公司

Anti-electric larceny management method under condition of access of distributed generation

The invention discloses an anti-electric larceny management method under the condition of the access of a distributed generation. The method comprises four steps: I, determining self-generating capacity under the access of the distributed generation of a user; II, determining the predicted value of monthly electricity consumption after the user installs the distributed generation; III, determining a monthly actual electricity consumption value after the user installs the distributed generation; IV, comparing the predicted value and the actual electricity consumption value, judging whether electric larceny occurs or not, performing lateral comparison according to the predicted value and the actual electricity consumption value respectively obtained in the step II and the step III, and if the predicted value is greater than the actual electricity consumption value, judging that the user has suspicion of electric larceny. According to the anti-electric larceny management method disclosed by the invention, by fully utilizing mastered measurement data, electricity consumption data and the like, the user with the suspicion of electric larceny is accurately screened out; on the premise that the current line loss per unit is incapable of effectively helping a power supply enterprise to narrow the electric larceny range, when the invisibility of the electricity consumption of the user is not in favor of screening out the user with the suspicion of electric larceny, the suspicion of the electric larceny user can be effectively screened out, and the loss of the power supply enterprise is effectively retrieved.
Owner:STATE GRID CORP OF CHINA +2

Anti-fraud model generation and application method, device and equipment and storage medium

The invention discloses an anti-fraud model generation and application method, device and equipment and a storage medium. The generating method comprises the following steps of acquiring a historicaldata set from an insurance claim settlement database, wherein the historical data set comprises a training data set and a test data set; generating a training target social network map according to the training data set; obtaining the objective function of the SDNE algorithm according to the training target social network graph, and taking the objective function as the first objective function; constructing a second objective function according to the first objective function and a preset constraint condition; obtaining an optimal hyperparameter of the second objective function and adding theoptimal hyperparameter as a known quantity to the second objective function to generate an optimal objective function; and training an optimal objective function by using a training target social network graph to generate an anti-fraud model. By implementing the scheme, the problem that the prior art needs to rely on manually defined user behavior characteristics to identify claim fraud and does not take into account the local and global structure in the social network, can be solved.
Owner:PING AN TECH (SHENZHEN) CO LTD
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