21results about How to "Realize judgment" patented technology

The invention relates to a water leakage detection method and device, a water purifier, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring historical water consumption data of a target water consumption area; determining normal water consumption parameters of the target water consumption area in any water consumption time period in the future according to the historical water consumption data; wherein the normal water consumption parameter is used for representing the water consumption condition of the target water consumption area when water leakage does not occur; acquiring real-time water consumption data of the target water consumption area; and detecting whether water leakage occurs or not according to the water consumption time period of the real-time water consumption data and the normal water consumption parameters corresponding to the water consumption time period. Through the technical scheme provided by the invention, the normal water consumption parameters for water leakage detection are combined with the historical water consumption data to determine and reflect the actual water consumption condition, the defects that a traditional detection scheme depends on a fixed threshold value and is difficult to adapt to complex and changeable water consumption scenes are overcome, and the accuracy of water leakage detection is improved.

The present application relates to the technical field of electrical equipment fault prediction, in particular to an electrical equipment fault prediction method and system based on digital twinning; the method comprises the following steps: obtaining equipment basic data, acquisition node configuration data, excitation configuration data and segmentation rule data of a target electrical equipment, constructing a healthy digital twin, establishing local constraint parameters, generating an encoded excitation sequence and a benchmark echo constraint set; collecting echo response data to form an echo response sequence, performing piecewise corresponding alignment and local correction search to obtain a minimum correction set and determine a sensitive constraint axis; generating a single-step misplacement compression sequence based on the sensitive constraint axis, obtaining compression echo response data and generating a compression minimum correction set; comparing the compression minimum correction set with the minimum correction set to determine a fault critical preposition state and output a predicted fault result. The present application realizes preposition identification of electrical equipment implicit local deterioration state and accurate determination of fault critical preposition state.

The application belongs to the technical field of ferromagnetic part testing, and discloses a magnetic performance testing device and testing method for magnetic materials. The testing device comprises a testing table, which is provided with a plurality of testing holes and a sample placing hole. A proximity sensor and a testing block are arranged in the testing hole, and the testing block is an iron core block. A pressure sensor is arranged above the testing block. The testing device further comprises an analysis system, and data received by the proximity sensor and the pressure sensor is transmitted to the analysis system. The testing method comprises the following steps: placing a sample block to be tested into a limiting sleeve, placing a moving part on a fixed part, aligning the sample placing hole with the testing hole, transmitting data received by the proximity sensor and the pressure sensor to the analysis system, and completing the testing of the magnetic force intensity of the sample block to be tested; rotating the moving part to make the sample placing hole communicate with the testing hole, and judging the magnetic pole of the sample block by the approach or departure of the sample block and a standard magnetic part. The application can complete the testing of the magnetic performance by the attraction between the sample to be tested and the testing block.

The present application provides a power transmission line hidden nest detection method, system, device and storage medium, to solve the problem that the existing nest detection cannot accurately determine whether the insulator and the nest are located at the same depth, and it is difficult to define ordinary nests and hidden nests, and relates to the technical field of deep learning. Including: acquiring the power transmission line image to be detected shot by the unmanned aerial vehicle inspection; inputting the power transmission line image to be detected into the pre-trained nest detection model for identification; the nest detection model adopts the yolov8 model framework, and the original bounding box regression loss function of the yolov8 model framework is replaced by the EIOU loss function; output the identification result. The method can combine the advantages of target detection and depth estimation model, and realize high-precision discrimination of hidden nests. Through the coordinate relationship, the nests located above the insulator are screened out as hidden nest candidates, and then whether the insulator and the nest are in the same depth range is judged according to the depth map, realizing the discrimination of hidden nests.

The application discloses a resource visualization method, device and system based on pipeline optical cable management, relates to the technical field of optical cable data analysis, and solves the problem that pipeline optical cable maintenance resources cannot be visually adjusted based on vibration sensitivity. The method comprises the following steps: calculating the theoretical attenuation of optical signals in the pipeline optical cable according to the length and the bending radius; analyzing whether the pipeline optical cable is a vibration-sensitive optical cable according to the change trend of the attenuation deviation value and the vibration amplitude; dividing the analysis time period into different maintenance interval time periods according to different maintenance times, and calculating reference vibration data of the vibration-sensitive optical cable; constructing a maintenance judgment interval, and calculating the actual vibration data of the vibration-sensitive optical cable in the maintenance judgment interval; and judging whether the vibration-sensitive optical cable needs to be maintained in advance according to the reference vibration data and the actual vibration data. The application realizes the visual adjustment of pipeline optical cable maintenance resources based on vibration sensitivity.

The utility model discloses a low power circuit integration junction box, including casing, modular interface array, embedded control module and safety protection module, wherein, the modular interface array contains at least three kinds of specifications test terminal, and each test terminal is connected with the measured circuit board through the elastic contact, embedded control module contains microprocessor, programmable signal generator and AD conversion unit. In addition, the low power circuit integration junction box still includes power module and wireless communication module. The utility model provides junction box through using S3C2451 embedded control processor to realize the automatic measurement and judgement of low power point fast, and can save the various measurement parameters of detected through programmable signal generator and AD conversion unit, then through wireless communication module carries out data transmission, and the convenient implementation detection result inquiry and transmission have improved the detection efficiency, and the detection result also has higher measurement accuracy and good repeatability.

The invention belongs to the field of identification, classification and safety management of dangerous chemicals, and particularly relates to a solid treatment device and a solid oxidability testing method. The device comprises a working box, and a grinding assembly, a sieve plate assembly and a collecting assembly which are sequentially arranged in the working box from top to bottom. The grinding assembly is constructed to be capable of grinding solids into solid particles and pouring the solid particles onto the sieve plate assembly, the sieve plate assembly is constructed to be capable of screening the solid particles, and the collecting assembly is constructed to be capable of collecting screened solid samples. According to the device, the controllability degree of factors such as granularity and humidity of a solid sample prepared when the solid is subjected to an oxidability test is improved, so that the accuracy, the precision and the test efficiency of a solid oxidability test result are improved.

This invention relates to a method and system for detecting the water content of crude oil, belonging to the field of petroleum quality testing. The method for detecting the water content of crude oil includes the following steps: 1) Collecting crude oil water content data and dynamometer card data corresponding to the time periods when the crude oil contains gas according to a time series; 2) Using the dynamometer card data to determine whether the water content data of the gas-containing crude oil is affected by gas, removing the water content data corresponding to the time periods affected by gas from the water content data of the gas-containing crude oil, and extracting the water content data of the adjacent previous time period without gas; 3) Performing feature extraction and feature fusion on the water content data of the gas-containing crude oil unaffected by gas and the water content data of the adjacent previous time period without gas; 4) Using the fused data as input to a calibration model, predicting through the calibration model to obtain calibration data of the water content of the gas-containing crude oil unaffected by gas. The calibration model improves the accuracy of the water content data.

The application relates to the technical field of intelligent decision-making, and discloses a text detection method, a text detection device, equipment and a medium: a to-be-detected text is acquired, multi-modal analysis is performed on the to-be-detected text, and a multi-modal text fingerprint is obtained; when a text verification result of the to-be-detected text represents that all text verifications pass, a text semantic version graph is acquired; text matching is performed on the multi-modal text fingerprint and historical text fingerprints in the text semantic version graph, and a target detection text is obtained; a difference between the to-be-detected text and the target detection text is determined as a semantic difference, and when the semantic difference is key field information and a state of the target detection text is completed, the to-be-detected text is determined as a risk text. The application is applied to a financial scene. Through the multi-modal text fingerprint and the text semantic version graph, subtle information in the to-be-detected text and overall text fingerprint detection are realized, and the accuracy and reliability of risk text detection are improved.

Embodiments of the present application disclose a system anomaly determination method and device, electronic equipment and a storage medium. The method comprises: obtaining a target log generated in a system running process and a plurality of log templates stored in the system, wherein the target log is generated according to any one of the plurality of log templates; obtaining an attribute set of the target log and encoding information of each log template respectively; determining a log text vector of the target log according to the attribute set and all the encoding information; and determining whether an anomaly occurs in the system according to the log text vector. Embodiments of the present application obtain the target log generated in the system running process and the plurality of log templates stored in the system, then further obtain the attribute set of the target log and the encoding information of each log template, thereby determining the log text vector of the target log, finally realizing the judgment of the system anomaly, reducing the generation of redundant information, and improving the efficiency of determining the system anomaly.

This invention belongs to the field of highway engineering technology, specifically an intelligent approval system for highway engineering construction plans. It includes a network construction module, an instantiation processing module, a forward calculation module, a reverse derivation module, and an approval generation module. First, it matches standard verification indicators with the target component types in the plan to be approved, constructing a constraint network. Then, it obtains geological attributes based on component location information and retrieves the instantiated network for the target component from the constraint network. On one hand, it substitutes design parameters into the instantiated network to calculate the estimated values ​​of the standard verification indicators; on the other hand, it uses the qualified values ​​of the standard verification indicators as constraints to deduce the range of design parameter values. Finally, it generates an approval conclusion for the design parameters of the target component based on the results of the dual comparison. This system achieves consistency verification of highway construction plans from overall safety effect to local design logic, helping to improve the accuracy and interpretability of the approval process.

This invention discloses a method and system for determining livestock presence in a pen based on non-contact measurement, relating to the field of livestock management technology. First, depth and visible light images of the grazing herd are acquired, and then image fusion and segmentation are performed sequentially to obtain several segmented regions. The images of these segmented regions are input into a livestock recognition model to determine whether the target within the segmented region is livestock. The segmented regions where livestock are identified are designated as the livestock's location. For each livestock location region, midpoint measurement, distance calculation, and triangulation are performed sequentially to obtain the geographical coordinates of the midpoint within each region. Based on the geographical coordinates of the midpoint of each livestock location region and the location of a virtual electronic fence, the relationship between points and lines is used to determine whether the livestock is within the virtual electronic fence's range. This invention employs non-contact measurement technology, improving the free movement of livestock and effectively reducing the cost and labor intensity of pasture management, while accurately determining the livestock's pen presence status.

The application relates to the technical field of printhead nozzle state detection, in particular to a nozzle blockage detection device and method of a printhead and a printing device. The device comprises: an infrared laser generation unit for generating parallel infrared lasers on a nozzle array extension line; a light spot detection unit for detecting a light spot signal formed by the infrared lasers; a translation mechanism for driving the infrared laser generation unit and the light spot detection unit to translate along the nozzle array arrangement direction, so that the infrared laser path is adapted to the target nozzle array; a blockage detection unit for controlling the infrared laser generation unit and the light spot detection unit to move, so that the infrared laser path is located on a plane determined by the array extension direction of the target nozzle array and a direction perpendicular to the array extension direction on the ejection side, and in the case that the infrared laser is emitted and an ejection instruction is sent to a specified nozzle, a first light spot signal is acquired, and the working state of the specified nozzle is detected according to the first light spot signal.

This invention provides a control method and related equipment for opening and locking a cooking device. The cooking device includes a cooking body and a lid, which are connected in an openable and closable manner via a locking mechanism. The control method includes: controlling the rotation of a motor of the locking mechanism to drive the movable latch of the locking mechanism to perform a preset action, which includes locking or opening the lid; during the rotation of the motor, real-time detection of sensor signals characterizing the completion status of the preset action and current AD values ​​characterizing the load status of the motor; and combining the sensor signals and the current AD values ​​to determine whether the movable latch has completed the preset action or whether a transmission failure has occurred. This invention achieves monitoring and judgment of the lid opening and locking process through dual signal feedback from sensors and the load, improving the reliability of action execution and enabling fault identification.

The invention relates to an image oil painting stylization method and system based on deep learning, and the method comprises the steps: outputting conversion intention information when a to-be-converted image input by a user side and corresponding demand information are received, and the conversion intention information comprises art concept information; screening a style vector matched with the art concept information, and generating an oil painting sketch of the to-be-converted image; when modification demand information input by a user side is received, identifying and extracting art concept information and associated modification area information and modification type information from the modification demand information; judging whether the type of the style vector needs to be changed or not; if yes, a to-be-replaced style vector matched with the art concept information in the modification demand information is screened out, and if not, style vector parameters of a corresponding area in the oil painting sketch are adjusted based on the modification type information and the modification area information. The method has the effect of realizing a man-machine collaborative creation function in the oil painting stylization processing process of the image.

The application discloses a kind of collaborative power distribution network regulation systems and methods, including collaborative power distribution platform, the collaborative power distribution platform includes collaborative power unit, peak-shaving calculation unit, right and interest display unit and error analysis unit, and the application relates to power distribution control technical field.The collaborative power distribution network regulation system and method establish the classification mode of necessary power consumption and adjustable power consumption for user terminal, assist user terminal to classify household appliances, predict power consumption by predicting the power and use time length of appliances, and then simulate the peak-shaving of appliances in adjustable power consumption classification, realize the peak-shaving power consumption of user terminal, and show it to user terminal in the form of saving electricity charges, which is more intuitive, and promotes user terminal to carry out systematic peak-shaving power consumption, realizes the efficient cooperation of user terminal and power plant, provides protection for normal power consumption of user terminal, and achieves better peak clipping and valley filling standard.

The invention provides a built-in clamp control system and method. The system comprises a clamp frame, a distance measuring device, numerical control equipment, a built-in clamp and a controller. The position deviation value of the numerical control equipment is measured through the plurality of distance measuring devices of the lower distance measuring layer to correct the position of the numerical control equipment, so that the position correction of the body-in-white received by the numerical control equipment is realized; and measuring a plurality of position deviation values of the assembly part through the plurality of distance measuring devices of the upper distance measuring layer, measuring respective position deviation values of the plurality of driving and control integrated tools through the plurality of distance measuring devices of the middle distance measuring layer, and correcting respective clamping space positions of the plurality of driving and control integrated tools. According to the system, the driving and control integrated tool is intelligently adjusted in real time according to the poses of the assembled parts, intelligent assembling is achieved, efficient, online and intelligent inspection and tool adjustment are achieved, and the real-time matching performance and the product quality of the assembled parts are improved. And through layered correction, real-time calculation, judgment and adjustment are realized.

A temperature control device for a coffee machine faucet includes a spray module and a flow guiding module. The spray module has a spray nozzle at its bottom, and the flow guiding module has a fluid delivery pipeline. The spray module is connected to the flow guiding module. The device also includes a temperature-controlled selective water outlet component located inside the connection between the spray module and the flow guiding module. Hot water is transmitted to the temperature-controlled selective water outlet component through the fluid delivery pipeline. The temperature-controlled selective water outlet component monitors the temperature of the input hot water. When the hot water temperature meets a preset temperature, the component transmits the hot water to the spray module and allows it to flow out from the spray nozzle. This monitoring and judgment of the hot water temperature avoids problems such as offsetting extraction or affecting coffee quality, improving the consistency of coffee taste and extraction stability.

The application discloses a sandstorm identification method based on stationary satellite remote sensing data and ground-based cloud images, and relates to the technical field of meteorological monitoring. The method comprises the following steps: step S10, spatial distortion correction is performed on a stationary satellite cloud image, multi-channel remote sensing data of a specified area is acquired, and standardization processing is performed; step S20, the cloud coverage area and the sandstorm area are identified by using the processed multi-channel satellite remote sensing data; and step S30, according to the identification results of the cloud coverage area and the sandstorm area, the satellite cloud image row and column numbers of the cloud coverage area are acquired, and the sandstorm area under the cloud condition is identified by using the all-sky ground-based cloud image. The application identifies the sandstorm weather of the sandstorm and the sandstorm under the cloud based on the deep learning method, and by fusing the channel data features and the time sequence features, the correlation between the fused features and the sandstorm weather is mined, so that the sandstorm identification precision of the cloud layer and the sand-dust layer boundary area based on the multi-channel satellite remote sensing data is improved.

The invention relates to the technical field of pipeline detection equipment, and particularly discloses a magnetic hydrogen coupling multi-physical field test device for hydrogen embrittlement assessment, which comprises a test bed, a pipeline mounting assembly, a torsion driving mechanism, a stretching driving mechanism and a magnetization detection mechanism, the test bed is provided with a flat table board with a sliding rail system, the pipeline installation assembly is provided with a fixed part and a movable part and arranged on the sliding rail system at intervals, the fixed part is fixed to the sliding rail system, the movable part slides along the sliding rail system, and the two ends of a to-be-tested pipeline are installed on the fixed part and the movable part. The torsion driving mechanism is slidably mounted on the slide rail system and is used for driving one end of the to-be-tested pipeline to twist axially; the stretching driving mechanism is slidably mounted on the sliding rail system and used for stretching the end, close to the movable part, of the to-be-tested pipeline. The magnetization detection mechanism comprises a laminated magnet yoke assembly arranged on the to-be-detected pipeline in a sleeving mode and a magnetic detection sensing assembly for collecting magnetic signals of the pipeline, the magnetization detection mechanism is installed on the sliding rail system in a sliding mode and slides between the fixed part and the movable part, and the fitting degree of the detection result and the actual working condition is improved.

The invention relates to the technical field of railway vehicles, in particular to a double-layer side beam, a bogie and a railway vehicle. The double-layer side beam comprises a side beam body, the side beam body comprises a first side beam plate and a second side beam plate which are arranged in a stacked mode, and the second side beam plate is located on the top of the first side beam plate. And at least one detection assembly is embedded in the first side beam plate. The detection assembly is used for monitoring the stress state of the side beam body in real time and outputting a detection signal. The detection signal is used for judging the fracture risk of the side beam body. According to the double-layer side beam, the bogie and the rail vehicle, the stress state of the double-layer side beam can be monitored, so that judgment and early warning of the fracture risk of the double-layer side beam are achieved, and the running safety of the rail vehicle is improved.