60results about How to "Real-time check" patented technology

The invention provides a method for checking relay protection setting, which can be utilized to realize the real-time monitoring and exact reflection of power grid characters, ensure the correct calculation result of the relay protection setting and the safe and stable running of a whole power grid, and reflect the actual load currents to the check process of the protection setting. In the method, real-time data of an EMS (energy management system), an overhaul information system and a failure information system are acquired, and a real-time running mode is utilized to calculate a current value and branch coefficients at a protection switch in each analog failure state, thus the flexibility and selectivity of the protection is checked in real time.

The invention relates to the field of real time data interaction and control during data transmission of a computer system and specifically relates to an extensible traffic control data interaction method and a system. The method includes that a data base/ a data base file (dbf) is used as a real time information interaction interface between a stock exchange and a market participant, the market participant submits order data to a data base interface, and the stock exchange submits response data and executive report data to the data base interface. The method is characterized in that an offer machine adaptively controls the number of requests sent to a main exchange machine in a unit time, and by means of data control, data peak impact preventing and a data base interaction method of the interface data base, huge data pressure is prevented from being brought to a server in a short time. Compared with data interaction methods in prior art, the data interaction method has the advantages of being capable of achieving unification of traffic control, data peak preventing and the extensible data base interaction method so that traffic speeds are increased, data peaks are prevented from overwhelming procedures, real-time data monitoring and checking are achieved, and the method has good characteristics of being high in performances, extensible and low in coupling.

The present invention provides a technical solution for enabling direct, person to person assistance over a communications network. The methods provide product and system support tools enabling, for example, a purchaser of a product or service to execute a computer program on a computer to establish an intelligently routed request for assistance to a human having knowledge in the area of the particular product or service. In one method, a human user couples a computer readable media associated with a product to a computer. A computer program on the computer readable media checks for, and if need be, installs needed software. The program can then establish a connection over a network such as the Internet directly to the help assistance organization appropriate for the particular product or service. The computer readable media can include an indication of the particular product or service and/or the assumed preferred language of the purchaser of the product or service. The assistance request can be routed to a human assistant, who may be seated at a computer device. In a preferred method, the human assistant greets the request for assistance and the human user with a live, personal, updated video link carrying the assistant's voice and a video signal carrying the assistant's image to the computer of the help requestor. The assistant may obtain preliminary information from the human user, and begin rapidly to provide assistance in a 'face to face' virtual environment. Where the product involved is a computer related product, the human assistant may optionally view the same computer display as the human user and even manipulate the display to illustrate the performance of a particular software product.

The invention relates to a full-automatic window cleaning machine which comprises a hoisting system and a check cleaning system, wherein the check cleaning system is drawn and hoisted by a winching mechanism on the hoisting system. The full-automatic window cleaning machine is characterized in that the check cleaning system comprises a working platform, a wall leaning wheel, a camera, a cleaning device and a water holding plate; the working platform is drawn and hoisted by the winching mechanism; the wall leaning wheel is installed on the upper part of the working platform and used for being supported on the outer vertical surface of a building; the camera faces to the outer vertical surface of the building and is used for monitoring and checking the condition of the outer vertical surface of the building; the cleaning device is installed in the middle of the working platform and used for cleaning the outer vertical surface of the building; the water holding plate is installed at the lower part of the working platform; and one side of the water holding plate is tightly attached to the outer vertical surface of the building, and the water holding plate is used for recovering cleaning liquid. The full-automatic window cleaning machine has the advantages of simple and reasonable structure, recycling of the cleaning liquid, no damage to environment, high efficiency, continuous operation and higher safety performance and can be used for checking the condition of the outer vertical surface of the building in real time.

The invention discloses an exit control method for a hanging assembly line. The exit control method comprises the following steps: when clothes hanger information is read by an exit card reader, sending a signal to a main computer, and judging whether a push rod going through an entrance card reader currently is empty or not by the main computer; if the push rod is empty, controlling an exit actuating mechanism to drive a clothes hanger to exit by the main computer or through a communication data controller, pushing the clothes hanger after exiting to move on a main rail by the push rod, and enabling the push rod number of the push rod to be associated with the clothes hanger number of the clothes hanger by the main computer; or, enabling the clothes hanger not to exit; and after the clothes hanger exits completely, stopping operation of the exit actuating mechanism. Moreover, the invention provides a control system and an exit actuating mechanism control method for the hanging assembly line, and two clothes hangers are avoided from appearing on the same push rod.

The present invention relates to a method and system for realizing a workflow engine capable of linking up an acceptance scene and a handling scene. The method includes the following steps that: similarities in a workflow model are integrated, various plug-ins are defined so as to form a plug-in pool; similarities in the workflow model are integrated, various controls are defined so as to form a control pool; similarities in the workflow model are integrated, and a page template is defined; similarities in the workflow model are integrated, and various business links are defined; the plug-ins the plug-in pool, the page template and the business links are configured according to needs so as to form the acceptance scene and the handling scene; the scene relation of the acceptance scene and the handling scene is established; and the acceptance scene and the handling scene are checked in real time, and process logs and business logs are recorded. According to the workflow engine method and system of the invention, the plug-ins, the controls, the page template and the business links which are all applicable to the acceptance scene and the handling scene are extracted, so that the plug-in pool, the control pool and the page template can be formed. The method and system for realizing the workflow engine have the advantages of high industrial applicability, high reusability and high scalability. With the method and system adopted, the acceptance scene and the handling scene can be checked and recorded in real time.

The present invention provides a machine learning-based data classification method. The method comprises the following steps of S11, based on learning data, determining a first feature word group corresponding to each data; S12, according to feature words, classifying the learning data; S13, judging whether the classification of the learning data is correct or not, and if yes, jumping to the step S15; if not, adjusting the first feature word group, and jumping to the step S12; S15, establishing a data classification model based on the first feature word group. The machine learning-based data classification device comprises a first feature word group determination module, a first data classification module, a judgment and classification module, a second feature word group determination module and a modeling module. According to the technical scheme of the invention, the content of a file is subjected to word-cutting treatment, and the weight of a word is calculated based on the TFIDF algorithm. After that, the similarity of the file is calculated. Similar files are clustered and feature words are extracted. Feature words are different from key words, while feature words are more representative and more suitable to be served as the sensitive information. Therefore, the feature words of one cluster can be distinguished from the feature words of other clusters.

The invention discloses a voice recognition based input method and device, computer equipment and a storage medium. The method includes: generating business application orders according to business request information sent by user terminals and a business application template; sequentially generating voice question information corresponding to unfilled items according to preset voice conversion rules, and sending to the corresponding user terminal; recognizing voice reply information fed back by the user terminal according to the preset voice conversion rules to obtain text information; judging whether the obtained text information meets filling requirements of the unfilled items or not; if yes, adding the text information as item values of the unfilled items into the business applicationorders. On the basis of a natural voice processing technique, inputting of business information through voice recognition and real-time checking of error information are realized, users can conveniently input relevant information through voice, and high efficiency in information input in a business handling process is realized.

The invention provides a piezoelectric acceleration sensor capable of detecting a working state in real time and a detection method. The sensor comprises a base, a shell is fixed on the base, a sensorcore is fixed in the shell, a cable connector is arranged on the shell, and the cable connector is connected with a signal output cable. The sensor core comprises a core base, a square base column isarranged in the middle of the core base, the two sides of the square base column are each provided with a plane shearing type signal acquisition piezoelectric ceramic, each signal acquisition piezoelectric ceramic is sleeved with a mass block, and the outside of each mass block is fixed through a pre-tightening ring; a hole is punched in the square base column, and annular shearing type excitation piezoelectric ceramic is fixed on the square base column through conductive adhesive; and the core base is sleeved with a core shell, a step installation circuit board is arranged in the core shell,a cover plate is arranged on the upper portion of the core shell, and an adapter plate is arranged on the cover plate. Whether the sensor is in a correct installation state or not and whether the sensor works normally or not can be conveniently and rapidly checked in real time.

The invention provides a low-voltage AC looped network loop power supply monitoring method. A low-voltage AC looped network power supply monitoring and spare power device is additionally arranged in an AC looped network; two low-voltage relays, one intermediate relay and one AC contactor are additionally arranged at the two sides of the AC looped network loop respectively, and a low-voltage AC looped network loop voltage loss monitoring signal loop is additionally arranged on a measurement and control device and a background signal is monitored so that real-time monitoring of the low-voltage looped network loop is realized in operation, a spare power supply is automatically powered on when voltage loss or abnormality occurs in an AC looped network power supply, and a corresponding signal is also transmitted immediately. Advantages of the low-voltage AC looped network loop power supply monitoring method are that the spare power supply is automatically powered on when loss of the low-voltage AC looped network power supply of a transformer substation occurs, the fault signal is also transmitted, and an operator on duty can immediately discover and determine fault range according to the background machine signal so that fault processing time of the operator and time of power loss of the looped network power supply can be shortened, and safe and reliable operation capacity of equipment can be enhanced and guaranteed.

The invention provides a method and system for automatically checking design drawings and real objects, and the method comprises the steps: recognizing equipment line wiring data from the design drawing and the equipment real object through employing a deep learning neural network and a convolution/recurrent neural network, and taking the equipment line wiring data in the design drawing as a standard, automatically checking the line wiring data identified from the equipment entity and the standard line wiring data of the equipment, judging whether wiring of the equipment entity is correct or not, automatically identifying a design drawing as unified equipment/line wiring data. Rapid and real-time checking of the wiring data of the field equipment entity can be achieved, the workload of power distribution wiring/communication wiring management can be greatly reduced, and manual inspection errors are greatly reduced.

The invention discloses a method for detecting winter wheat ear moisture content based on a hyperspectral technology. The method comprises the steps of: processing collected winter wheat ear moisturedata; screening characteristic wave bands sensitive to the winter wheat ear moisture content; constructing a winter wheat ear moisture content estimation model by adopting a partial least square method; carrying out model precision detection by adopting a determination coefficient R2 and a root-mean-square error RMSE; and finally inputting sensitive spectral data of a to-be-detected target into the model in the step 3, so as to obtain winter wheat ear moisture content information. The model constructed by adopting the method can meet the requirement for detection precision of the winter wheatear moisture content, and improves the detection precision, robustness and universality of the winter wheat ear moisture content.

An extinguisher identifying device. The device comprises an extinguisher identifying device and an activation device, and a communications module. The extinguisher identifying device reads an identifying element on an extinguisher to obtain identifying data of the extinguisher. The activation device is configured to activate the extinguisher identifying device in response to a predetermined event. The communications module is configured to transmit the extinguisher identifying data to a management device.

Disclosed are an air conditioner and a control method therefor, the air conditioner comprising: a main body; a filter for filtering the impurities flowing into the main body from the outside; a fan for making the impurities pass over the filter and flow into the main body; a sensor for sensing a filter state value for determining the state of the filter; and a processor for determining when to replace the filter if the impurity purification capacity, calculated on the basis of the filter state value sensed by the sensor in real time, is lower than a reference value.

The invention discloses a glass melting furnace masonry robot. The glass melting furnace masonry robot comprises a first base, a second base, a lifting mechanism, a mechanical arm with six degrees of freedom, a grabbing mechanism, a slurry pumping assembly and a controller connected to all above parts; the first base is horizontally arranged on the two sides of a melting furnace, and the second base can be connected to the first base in a sliding mode; the lifting mechanism can be slidably connected to the second base, the mechanical arm can be connected to the lifting mechanism in the vertical direction in a lifting mode, and the grabbing mechanism can be rotatably connected to the tail end of the mechanical arm; a pipeline of the slurry pumping assembly is laid along the second base and the lifting mechanism; and a plastering opening of the slurry pumping assembly is located in the side face of the mechanical arm. The invention further discloses a method adopting the glass melting furnace masonry robot. The glass melting furnace masonry robot has the beneficial effects that the practicability is high, plastering and masonry can be achieved, and the automation degree is high; and traditional work by worker can be replaced for operation, so that the problem that industry workers are fewer and fewer is solved.

The invention relates to a tool cabinet for storing electric tools. The tool cabinet comprises a cabinet body, a cabinet door, a fixed box, a human face recognizer and a fingerprint recognition device. The fixed box comprises a cover plate and an accommodating cavity, the human face recognizer is installed in the accommodating cavity, the cover plate is installed at an opening through an electronic lock, the fingerprint recognition device is connected with the electronic lock, and the human face recognizer is connected with an access control system. The tool cabinet has the advantages that thehuman face recognizer is used for facial recognition of a recipient, facial recognition replaces a signature, not only is a certain amount of work saved, but also the identity of an operator is recorded more carefully and accurately, cumbersome procedures of receiving and returning signatures are avoided, the human face recognizer is connected with the access control system, the cabinet door of the cabinet body is automatically opened through facial recognition, the personal information can be automatically recorded, the person who is responsible is identified, and safety and high efficiencyare ensured.

The invention discloses a forced air drying device and a method for removing a residual electrolyte by adopting the forced air drying device. The forced air drying device comprises a battery cell trayfor bearing a battery cell, a forced air drying tray and a pressurized air blowing device. A forced air drying unit is positioned on the forced air drying tray and comprises a shell, an air inlet pipe, an air outlet pipe and a sealing piece fixedly arranged on the shell, wherein the air inlet pipe and the air outlet pipe are arranged in the shell. The forced air drying unit and the battery cell form a closed cavity by virtue of a sealing piece, an air inlet pipeline communicates with the pressurized air blowing device and blows air to the air inlet pipe of the forced air drying unit, and theair outlet pipe communicates with an air outlet pipeline to discharge gas carrying electrolyte steam. A non-contact circulating blast mode is adopted to replace two independent processes of manually wiping a shell opening and a positive tab in the prior art, and a plurality of battery cells are simultaneously dried at a time, so that manual production processes are reduced, the production efficiency is greatly improved, the reject ratio of products is obviously reduced, and the service life of the products is prolonged.

The invention belongs to the technical field of the Internet of Things of fire-fighting facilities, and relates to a building fire-fighting fan monitoring system based on the Internet of Things. The technical solution is: the fire-fighting air duct is provided with a fire-fighting fan, a manual regulating valve and an air outlet in sequence, and information collection points for differential pressure sensors are respectively set on the fire-fighting air ducts on both sides of the fire-fighting fan; the signals collected by the differential pressure sensor are transmitted to the fire-fighting fan. Information monitoring device; at the same time, the signal collected by the fire-fighting fan is transmitted to the fire-fighting fan information monitoring device; the information of the fire-fighting fan information monitoring device is transmitted to the wind system information device; the information communication of the wind system information device is uploaded to the fire-fighting facility IoT application platform. The system has the function of real-time monitoring of the state of the fire-fighting fan, the function of collecting and analyzing the pressure difference between the front and rear of the fan, and the function of uploading information and displaying it on the spot.