55results about How to "Raise the level of attention" patented technology

An operation and maintenance monitoring platform based on power marketing big data, including a data acquisition layer, a data processing layer and a data usage layer. The platform monitors various computer equipment, network equipment, security products, application systems, IT equipment operating conditions and various online behaviors, conducts comprehensive and centralized management of various equipment, detects various abnormal situations in time, and quickly locates them All kinds of event failures are automatically formed as "work orders", and then assigned to relevant departments for processing to finally form a closed-loop process; to achieve integrated monitoring, comprehensive business coverage, intelligent monitoring, and visualized display. Through the present invention, the decision-making layer of the provincial electric power company can have a more transparent understanding of the overall situation of each grassroots unit, and the management can more effectively supervise and control the work of each grassroots unit, so that each branch company can find weak links faster and more accurately. Improve the quality supervision of business and service work, and technically help power marketing staff to comprehensively supervise and manage the entire marketing business.

The invention discloses a LeakView leakage control and management system for an urban water supply pipe network. The control and management system comprises a partitioned management system, a leakage noise online monitoring system and a water hammer early warning and monitoring system, the partitioned management system makes the water supply pipe network to form a partitioned management mode from the factory-leaving water yield, first-level partition, second-level partition, DMA to user terminal multi-level water units, all the water units are scientifically managed through a water balance test, a pressure control strategy with the optimal water saving effect and the optimal economic matching performance is made through a response mechanism of the leakage of the water supply pipe network to the pressure, leakage noise is monitored on line by using terminal noise monitoring equipment instead of leakage detection by manual listening, the noise is displayed in the form of data, a region where the leakage is suspected to exist is found through comparative analysis of the key data, the water hammer early warning and monitoring system adopts a transient flow pressure fluctuation situation of a network system to be combined with a big data technology, and therefore the rapid change of the pressure of the pipe network system can be monitored on line, an alarm for the abnormal pressure change situation can be given in real time, on-line early warning can be realized, the data can be deeply excavated and analyzed, and water hammer protection can be made.

The invention discloses a monitoring alarming method and system. The method comprises the steps of: monitoring each monitored object in a monitoring system; for each monitored object, when the monitored object is monitored to be abnormal, recording the abnormality of the monitored object; according the recording result, judging the monitored object is abnormal in each unit of preset time period in a previous time period; if yes, sending the summarized alarming information of the abnormalities of the monitored object in the previous time period to a user associated with the monitored object. According to the invention, each monitored object is monitored in a longer monitoring period, the higher alarming priority is given to the monitored object which is continuously and intensively abnormal in the recent period, and summarized alarming is carried out on the monitored objects of this kind, the number of invalid alarming is reduced, the recognition degree of the user is improved, the user is enabled to effectively know the abnormalities accumulated in the recent period, processing is carried out according to the reasonable priority, and monitoring requirements are met.

The invention discloses a thermal barrier coating with two bonding layers. The thermal barrier coating comprises a high-temperature alloy matrix, wherein a first bonding layer, a second bonding layer and a surface ceramic layer are deposited above the matrix in sequence; and the first bonding layer is of a multiporous laminated structure, and the second bonding layer is of a compact structure. A preparation method of the thermal barrier coating comprises the following steps: (1) grinding and performing sand blasting treatment on the surface of the high-temperature alloy matrix; (2) depositing a porous layer, which is the first bonding layer, with the porosity of 10 to 30 percent on the surface of the matrix by adopting gas shield protection plasma spraying; (3) depositing a compact layer, which is the second bonding layer, on the surface of the porous layer by adopting hypersonic flame spraying, low-pressure plasma spraying or cold spraying; and (4) depositing the surface ceramic layer on the surface of the second bonding layer by adopting atmospheric plasma spraying. The thermal barrier coating with the two bonding layers can both ensure that alpha-Al2O3 is continuously generated on the surfaces of the bonding layers and further relieve thermal expansion mismatch between the matrix and the ceramic layer, so that the service life of the thermal barrier coating is prolonged.

The invention discloses a dynamic monitoring system for quantitative detection and intelligent auditing and relates to the technical field of quantitative detection. The system comprises an information entry module and a real-time monitoring module, wherein the information entry module is used for entering detection items and equipment information for units by a detection system; and the real-time monitoring module is used for receiving real-time detection data with the detection items and the detection system as units and further used for setting operating parameters, the operating parameters comprise the number of automatically monitored samples, the real-time monitoring module establishes a real-time monitoring frame according to the operating parameters, the real-time monitoring module dynamically monitors the real-time detection data with the number of the automatically monitored samples as a batch, and the real-time detection data of any batch is updated by one real-time detection data compared with real-time detection data of a preceding batch. The invention further discloses a dynamic monitoring method for quantitative detection and intelligent auditing. The real-time performance of system monitoring can be effectively enhanced.

The invention provides a searching method, system and engine as well as a client. The searching method comprises steps as follows: the searching engine acquires a searching word sent by the client; the search engine acquires a plurality of searching results according to the searching word and acquires original webpages corresponding to at least a part of searching results from the plurality of searching results respectively; the searching engine provides the plurality of searching results and the original webpages corresponding to at least a part of searching results for the client, and the client shows the searching results and the original webpages. By means of the method, the original webpages can be more conveniently acquired, and the client can easily access the original webpages, so that the clicking probability of the original webpages is improved, accordingly, a client user can pay more attention to the original webpages.

The invention discloses a local picture rapid detection method based on image content recognition, and the method mainly comprises the following steps: 1, building a training data set which comprisesthe collection of content text regions, central points and rotation angles corresponding to scene text pictures and annotation pictures in different noise environments; 2, training a text recognitionmodel and a target detection model at a server side by utilizing the training data constructed in the step 1; 3, automatically converting the image input of the client into a file with semantic annotation by using the trained text recognition model and the target detection model; 4, analyzing and arranging the files obtained in the step 3, and transferring the files into a local database of a user; and step 5, according to the request information sent by the client, performing retrieval in the database, then feeding back a retrieval result to the client, and displaying the picture content andthe corresponding label. According to the invention, the accuracy and speed of image retrieval can be improved.

A heart rate data-based evaluation method for physical exercise load of primary and middle school students, including exercise heart rate, exercise time collection, transmission, analysis, and physical exercise load evaluation; exercise heart rate and time are collected by a wristband heart rate monitor, and the data is transmitted to a mobile phone , analyze and display the time and heart rate of physical exercise through the mobile app, and upload it to the Internet through a wireless connection, store it on the website platform, set different levels of permissions on the website, managers, teachers and students can view it on the website Physical exercise time, heart rate, exercise load score.

The invention provides a health risk early warning method, server and device and an air quality forecasting method. The health risk early warning method comprises the steps of receiving a health riskearly warning request sent by a subscriber and correspondingly uploaded individual user characteristic data of the subscriber; according to a geographic area where the subscriber is located, obtainingthe current meteorological and air quality monitoring data corresponding to the geographic area; determining the relative risk degree of the subscriber corresponding to each related disease at the current meteorological and air quality state according to the individual user characteristic data of the subscriber and the current meteorological and air quality monitoring data based on a preset corresponding relation between the environment and the health risk; and performing health risk early warning on the subscriber according to the relative risk degree. According to the embodiment of the invention, a targeted health risk early warning can be provided for the subscriber at the current meteorological and air quality state, so that the user is enabled to pay serious attention to the health risk brought about by the air pollution.

The invention relates to the technical field of transformer substation monitoring, in particular to a monitoring system for a transformer substation and a using method thereof, the monitoring of the transformer substation is composed of line internal monitoring equipment and line external monitoring equipment, and the internal monitoring equipment and the external monitoring equipment are both electrically connected with central data processing equipment. Faults and daily monitoring are transmitted to the central data processing equipment to be processed, the central data processing equipmentis communicated with a main control room, and normal monitoring data are displayed through a control display. Meanwhile, fault data and normal monitoring data are stored in a partitioned mode througha fault data storage server and a work monitoring server storage device in the server storage device respectively, the monitoring system adopts two power supply modes so as to guarantee stable operation of the monitoring system, and according to different fault positions of a line, different alarms are used for alarming, so that the attention degree of operators on duty is enhanced.

The invention discloses a new application of carbenoxolone, pharmaceutically acceptable derivatives thereof or medicine compositions containing either in the pharmaceutical manufacturing field. According to the experiments, the carbenoxolone can protect susceptible cells from infection by the dengue virus, which demonstrates that the carbenoxolone has underlying application value in the field of curing dengue virus infectious diseases. According to the invention, experiment evidences are provided for clinically using the carbenoxolone to cure the dengue virus infectious diseases, which has a certain guiding significance for developing anti-dengue virus medicines and also has an important reference value.

The invention discloses a boarding gate inspection platform and method based on face recognition. The boarding gate inspection platform comprises a face information acquisition module, a face information processing module, a data uploading module, a system control module, a light adjusting module and an alarm module. The boarding gate inspection platform is scientific and reasonable, and is safe and convenient to user; the distance sensors are used for measuring the distances from different parts of the human face to the high-definition camera; the distances measured by the distance sensors are ranked from large to small by utilizing the PLC; the sum of the distance differences between every two distance sensors is calculated to judge whether a face picture acquired by a camera is a real face; a program that passengers need to blink or open mouths to judge whether the face is a real face or not is reduced, the problem that the inspection efficiency is reduced due to the fact that the passengers are unwilling to cooperate with time is avoided, meanwhile, the passengers are prevented from taking out face pictures for inspection and recognition, and the safety and reliability of the whole inspection platform are improved.

The invention discloses a hydraulic power plant reservoir optimal scheduling control method based on a water level control coefficient. The hydraulic power plant reservoir optimal scheduling control method comprises the following steps: a step 1, acquiring historical operation water level data and reservoir scheduling graph data, and calculating a monthly water level control coefficient target value Ks target of a j-th month of the hydraulic power plant reservoir; a step 2, acquiring practical operation average water level data Sj of the j-th month of the hydraulic power plant reservoir, and calculating a water level control coefficient actual value Ks of the j-th month of the reservoir according to a formula described in the specification, wherein S0 is level of dead water and S1 is normal high water level; a step 3, comparing the monthly water level control coefficient actual value Ks with the monthly water level control coefficient target value Ks target, and judging a reservoir optimal scheduling effect; a step 4, controlling optimal scheduling of the hydraulic power plant according to the reservoir optimal scheduling effect. The hydraulic power plant reservoir optimal scheduling control method can perform optimal scheduling control which is scientific and reasonable, widely applicable, simple and convenient to use on the hydraulic power plant reservoir.

The invention discloses an intelligent scoring method and device based on semantic recognition and a storage medium, and the method comprises the steps: S1, recognizing voice information, converting the voice information into a text form, and obtaining a voice text; S2, training a word vector, and representing a voice text in the form of a data matrix; S3, extracting semantic features of the voicetext by using a convolutional neural network; and S4, scoring the service level according to the voice text and the semantic features after truncation and completion in the S2. According to the invention, the intelligent technology is used for assisting the manual service, the service of the mechanical equipment repair system is scored from the perspective of language, and the overall service level and the customer experience of the repair system can be effectively improved.

The invention discloses a multi-language paper intelligent examination system. The system comprises an input data retrieval module, Database unit, an information extraction module and a calculation module, The input data retrieval module is connected with the database unit through a first communication module. the database unit is connected with the information extraction module through a communication module II; The information extraction module is connected with the calculation module through a third communication module, and the input data retrieval module comprises a paragraph retrieval module, a statement retrieval module, a common word and keyword retrieval module, an article structure framework retrieval module and a long sentence retrieval module. Beneficial effects are as follows:the feed additive is Moreover, from the perspective of paper formats, the system supports paper guidance of teachers and college related departments to realize automatic, rapid and intelligent examination and evaluation of student paper quality, and can also upload own paper to the system so as to share own writing experience and related errors with other users, thereby better standardizing the writing of the users on the paper.