48results about How to "Formulated in time" patented technology

The invention relates to a high-voltage cable sheath-breaking-prevention monitoring early warning method and a high-voltage cable sheath-breaking-prevention monitoring early warning system. The high-voltage cable sheath-breaking-prevention monitoring early warning method comprises the following steps of obtaining a sheath breaking state signal of a high-voltage cable; obtaining a state parameter according to the sheath breaking state signal; detecting whether the state parameter is matched with a preset state parameter or not; and when the state parameter is matched with the preset parameter,sending an early warning signal to the monitoring system. The corresponding state parameter is obtained through the sheath breaking state signal, i.e., the features of the sheath breaking state signalare converted into a corresponding state value; the obtained state parameter is matched with the state parameter preset in the system; when the state parameter is matched with the preset state parameter, the result shows that the sheath breaking state signal is generated during the construction by large-size machinery; meanwhile, the result shows that the large-size machinery can cause sheath breaking hidden danger on the high-voltage cable; at the moment, an early warning signal is sent to the monitoring system; and the located environment of the high-voltage cable can be conveniently monitored, so that a corresponding handling scheme can be conveniently and timely made.

The invention discloses a deep belief network-based voltage sag reason recognition method, and belongs to the technical field of electric energy quality analysis methods. The method comprises the steps of: carrying out data preprocessing on voltage sag recording data and voltage sag reason tags; building a restricted Boltzmann machine network; carrying out non-supervision pre-training on the restricted Boltzmann machine network; building a deep belief network by using a restricted Boltzmann machine generated through the training; adding a softmax layer; carrying out supervised training on thewhole network; carrying out correctness verification on a generated model; and judging various probabilities output by the model, and automatically recognizing voltage sag reasons types correspondingto input data. According to the method, history voltage sag recoding and sag reason tags are utilized to carry out iterative training on a deep neural network, and possible voltage sag recording dataof supervision points is input into the model generated through the training to obtain corresponding voltage sag reason types. The method is supplementation to electric energy monitoring systems, andhas important practical significance.

The invention discloses a method for implementing oil-gas exploration and oil-gas reservoir characterization by using living bacteria exception and total bacteria exception of methylosinus trichosporium as indexes. The method comprises the following steps of: acquiring a sample above an oil-gas exploration and oil-gas reservoir characterization area according to the specific grid degree, sampling depth and sampling quantity, and packing and storing the sample according to the specific conditions; simultaneously acquiring the living bacteria number and the total bacteria number of the methylosinus trichosporium in the sample by adopting a conventional microbe counting method, and drawing an equal living bacteria line and an equal total bacteria line on a map, a topographic map, a geologic map or a topographic-geologic map to obtain the living bacteria exception and the total bacteria exception; comprehensively comparing the living bacteria exception with the total bacteria exception; making a judgment and a prediction or providing an oil-gas reservoir exploitation scheme for the underground oil-gas resource condition of the oil-gas exploration and oil-gas reservoir characterization area according to the characteristics, similarities and differences of the living bacteria exception and the total bacteria exception by combining the results of geologic exploration, geochemical exploration and geophysical exploration.

The invention provides a set top box software switching management method and system and a computer device. The method comprises the steps that a software package of a set top box is compiled and generated; uploading the software package to an Nginx server, pushing the uploaded related data to an ELK service for data storage, and editing and managing the information of the software package through a Web server; acquiring software package information in the Web server by using the set top box; software packages needing to be updated are transmitted and downloaded to a local disk space of the set-top box through a communication network, software updating and switching operation is carried out, and when the set-top box carries out software updating and switching operation, the set-top box downloads the updating software packages and behavior data inquired by using an API interface, and the behavior data are transmitted to ELK service through Logstash. The system is applied to the method. According to the method, the problems in the prior art are mainly solved, a user can conveniently check the downloading amount, the updating frequency and the like of the software, the software can be updated into different versions on the box, and the software versions can be freely switched.

The invention provides a quadruple fluorescent quantitative polymerase chain reaction (PCR) detection kit for diarrheagenic Escherichia coli. The quadruple fluorescent quantitative PCR detection kit consists of fluorescent quantitative PCR reaction liquid, a standard substance O157, a standard substance H7, a standard substance O104, a standard substance H4 and a reference substance, wherein the fluorescent quantitative PCR reaction liquid comprises PCR reaction buffer solution (which contains a mixture of magnesium chloride and deoxyribose nucleotide triphosphate, heat-resisting thermus aquaticus deoxyribonucleic acid (TaqDNA) polymerase and the like), special upstream and downstream primers and a probe. In the quadruple fluorescent quantitative PCR detection kit, O157:H7 and O 104:H4 type bacteria of the diarrheagenic Escherichia coli can be detected from a sample; and compared with the conventional ordinary PCR method and single fluorescent quantitative PCR method, the quadruple fluorescent quantitative PCR detection kit has the advantages of simplicity, convenience, quickness and accuracy; and the detected bacteria are quantitated accurately in real time, and the diagnosis of suspected patients infected with the bacteria clinically is clarified early, so that the treatment scheme is formulated in time to lower the death rate.

The invention discloses a downhole rescue system which is connected with a monitoring center. The downhoel rescue system comprises a breathing mask, an air source conversion system, a first air supply system and a second air supply system, wherein the air source conversion system can be switched in the first air supply system or the second air supply system to supply air to the breathing mask. The downhole rescue system enables a user to automatically switch to a standby air source under the emergency that a motor air supply system breaks down, precious time is prolonged, secondary disasters are prevented from occurring in the rescue process to cause unnecessary property loss and casualties, and therefore downhoel rescue operation can be carried out timely, effectively and interactively.

The invention discloses an intelligent management system for the beauties industry, which includes a new membership module, a data input module, a payment module, a data query module, a controller, a display, a controller, a storage module, a financial management module, a membership library, a membership Monitoring module, welfare module and data analysis module; the present invention sends preferential information in time through the member monitoring module on the member's birthday and stores the preferential information in the storage module, and then detects whether there is preferential information during each payment through the payment module, And compare, and then obtain the proportion of preferential use, and use the proportion of preferential use to judge whether the current preferential use is suitable for most members; so as to facilitate timely formulation of new preferential information; the present invention is simple, effective, and easy to use.

The invention discloses an intelligent deployment method and device for fire fighting forces for processing fire disasters in a tank farm. A three-dimensional tank farm-factory model, a human-vehicle three-dimensional model, a fire kinetic model are loaded on a GIS platform; and a three-dimensional tank farm-factory fire fighting electronic sand table is constructed. With a fire plume model and a heat radiation model in the fire kinetic model, a related flame parameter, a dangerous range and a rescue operation range are predicted scientifically and thus a fire fighting strategy as the reference for fire fighting commanders is provided, thereby realizing intelligent deployment of the fire fighting forces based on scientific prediction. Therefore, the combating commanding level of the fire fighting commander as well as the fire fighting rescue capability of the fire brigade is enhanced; and thus the casualties and property losses that are caused by fire disasters can be reduced to the greatest extent.