16results about How to "Reduce detection frequency" patented technology

The invention discloses a boiler flue gas waste heat recovery power system safety detection method, and particularly relates to the technical field of flue gas waste heat recovery, and the method comprises the following steps: obtaining and marking the information of each safety assembly, detecting the operation efficiency of each safety assembly in real time, obtaining the operation efficiency fluctuation rate and the flow reduction rate of each assembly through analysis, and determining the safety of each assembly. Calculating an operation quality coefficient, dividing the components into normal and abnormal operation states, carrying out detection frequency adjustment on the components in the normal operation state, carrying out anomaly analysis on the components in the abnormal operation state, judging a maintenance or updating mode, and correspondingly generating an adjustment form according to a detection frequency adjustment result and component marking information; summarizing the mark information of the abnormal component and the security operation and maintenance mode to generate a security operation and maintenance form; according to the method, the most suitable efficiency calculation mode is selected, so that the accuracy and reliability of the detection data are improved, the detection result can truly reflect the running state of the component, the detection and maintenance strategies are optimized, and the overall running efficiency is improved.

The utility model relates to the technical field of exhaust valves, in particular to an intelligent exhaust valve, which mainly solves the problem of poor maintenance and management convenience of an exhaust valve in the prior art, and comprises a valve body, an exhaust hood, a valve cover, a guide sleeve, a guide rod and a control system, the control system comprises a battery, a controller, a pressure sensor, a temperature sensor, a GPS module, a switch detection magnetic ring, a counter, a water leakage detection sensor and a wireless connection module, the battery, the controller, the GPS module, the counter and the wireless connection module are arranged in the shell, and the pressure sensor and the temperature sensor are arranged on the valve body. The water leakage detection sensors are arranged at the first air inlet and outlet and the second air inlet and outlet, the switch detection magnetic ring is arranged on the guide rod, and the battery, the pressure sensor, the temperature sensor, the GPS module, the switch detection magnetic ring, the counter, the water leakage detection sensors and the wireless connection module are electrically connected with the controller.

The invention provides a maintenance site recommendation method, electronic equipment and a vehicle, and the method comprises the steps: determining a maintenance demand of the vehicle according to the obtained maintenance associated data of the vehicle; determining a target maintenance site and a recommended time range according to the maintenance associated data in response to the determined vehicle maintenance demand as maintenance; performing recommendation display on the target maintenance site within the recommendation time range; according to the maintenance site recommendation method provided by the invention, whether the vehicle needs to be maintained or not can be timely and accurately determined according to the maintenance associated data of the vehicle; when it is determined that maintenance is needed, the target maintenance site and the recommended duration range can be determined, the target maintenance site is recommended and displayed in the recommended duration range, a user is guided to go to the target maintenance site, it is ensured that the vehicle receives the maintenance service at the optimal time, the competitiveness of a 4S store is enhanced, and the maintenance efficiency is improved. The maintenance quality of the vehicle and the performance of the whole vehicle are guaranteed, and the loss rate of customers is reduced.

The present invention discloses a safety detection method for a boiler flue gas waste heat recovery power system, which specifically relates to the technical field of flue gas waste heat recovery, and comprises the following steps: acquiring and marking information of each safety component, detecting its operating efficiency in real time, obtaining the operating efficiency fluctuation rate and flow rate drop rate of each component by analysis, calculating the operating quality coefficient, dividing the components into normal and abnormal operating states, adjusting the detection frequency of components in normal operating states, performing abnormal analysis on components in abnormal operating states, judging the maintenance or update method, generating an adjustment form by corresponding the detection frequency adjustment result with the component marking information, and generating a safe operation and maintenance form by summarizing the marking information of the abnormal component with the safe operation and maintenance method; the present invention improves the accuracy and reliability of the detection data by selecting the most suitable efficiency calculation method, so that the detection result can truly reflect the operating state of the component, optimizes the detection and maintenance strategy, and improves the overall operating efficiency.

The present invention relates to a storage method for concentrated onion juice, comprising: placing the concentrated onion juice in a plurality of storage tanks, setting a detection cycle of the concentrated onion juice; detecting the internal temperature of the storage tank, drawing a temperature change curve, comparing the temperature value with a preset internal temperature, and adjusting the temperature expression parameter of the temperature change curve; calculating the integral value of the temperature change curve and the preset internal temperature within a unit detection time, and adjusting the detection cycle accordingly according to the integral value; detecting the light transmittance and soluble solid content of the concentrated onion juice, comparing them with standard values, making a grade judgment on the storage state of the concentrated onion juice, and adjusting the detection cycle accordingly; detecting the storage time of the concentrated onion juice, comparing it with the preset storage time, and calculating the adjusted detection cycle. The present invention makes the storage detection of onion juice more intelligent.

The invention discloses a track fault detection method and system, and the method comprises the steps: dividing a continuous track into at least one to-be-detected track, and obtaining a to-be-detected track image of the at least one to-be-detected track; performing clustering processing on the to-be-detected track images according to a preset clustering rule to obtain at least one to-be-detected track image set; selecting a target to-be-detected track image from a certain to-be-detected track image set by adopting a preset selection rule, and preprocessing the target to-be-detected track image to obtain a target image; performing edge extraction on the target image to obtain a track edge image; and performing fault detection on the track edge image through a preset model to obtain a fault detection result corresponding to the to-be-detected track image. The detection frequency of to-be-detected tracks with the same characteristics can be reduced, so that the track fault detection efficiency can be effectively improved.

This invention relates to the field of smart gateway technology, specifically disclosing an artificial intelligence-based smart gateway optimization method. The method involves initializing channel quality estimation parameters and setting an uncertainty threshold; sending probe frames to candidate channels during idle periods of service data, and receiving response results as quality samples; extracting received signal strength indication values ​​from the samples and assigning a probe confidence coefficient; updating the quality estimation parameters with weighted probe results using Bayesian inference; calculating the expected performance value of each channel based on the updated parameters; generating a switching command when the cumulative number of times the current channel is continuously inferior to the best candidate channel reaches a threshold and the performance difference exceeds an uncertainty threshold; executing channel switching and resetting the cumulative count; and dynamically adjusting the subsequent probe frequency according to the service load. This invention enables adaptive channel optimization while ensuring service continuity, improving the communication reliability of smart gateways in complex environments.

The invention discloses an emotion detection frequency determination method and device, equipment and a medium, and relates to the technical field of intelligent vehicles, and the method comprises the steps: obtaining an emotion detection reference frequency and vehicle driving information of a total driving distance of a vehicle driver in a current time period; according to the vehicle driving information, predicting an emotion abnormal probability of a vehicle driver in a future time period; wherein the future time period is adjacent to the current time period and is located after the current time period; adjusting the emotion detection reference frequency according to the vehicle driving information and the emotion abnormal probability in the future time period to obtain the emotion detection frequency of the future time period, and performing emotion detection on the vehicle driver in the future time period according to the emotion detection frequency. And the computing power resource and the electric power resource of the vehicle are saved.

The application relates to a user natural gas safety detection system, a method and a storage medium, and the method comprises the following steps: reading user information of a user natural gas meter, wherein the user information comprises a user ID and a gas record; dividing the user type of the user ID based on the gas record; generating a trigger signal with different detection frequencies based on the user type; obtaining gas information corresponding to the user ID based on the trigger signal to update the gas record; judging whether a natural gas pipeline exists leakage based on the gas information, and issuing an alarm information when the leakage judgment result is that leakage exists, wherein the alarm information comprises the user ID; issuing a valve closing action instruction to the natural gas meter corresponding to the user ID based on the alarm information, and recording the alarm information in the gas record. The application has the effects of improving the safety of a household natural gas pipeline and realizing global natural gas safety detection and protection for community users.

The invention relates to the technical field of computers, and provides a target object monitoring method, device and equipment and a medium, and the method comprises the steps: marking an original image sequence, and processing the original image sequence into a low-resolution image sequence; sampling the low-resolution image sequence and the original image sequence, and obtaining corresponding first and second detection results through a first detection model and a second detection model; a time difference training optimization model between different sampling points of the two sequences is combined to determine a sampling frequency relation of the two sequences, and a first detection result associated with a second detection result is corrected through the second detection result correspondingly obtained based on the sampling frequency relation; and updating the optimization model according to the corrected first detection result and the corresponding label until a first preset condition is reached, and monitoring the target object based on the trained optimization model and the second detection model. According to the scheme, the monitoring precision of the target object is ensured, the computing power requirement on hardware equipment is reduced, and the robustness of target object monitoring is improved.

The invention discloses an energy efficiency optimization analysis method for sewage treatment, and particularly relates to the field of sewage energy efficiency data processing and signal transmission processing. Comprising the steps of data source signal integrity detection, input preparation of a three-dimensional evaluation model, three-dimensional analysis of energy efficiency data, generation of an energy efficiency evaluation value, comparison of the energy efficiency evaluation value and an energy efficiency threshold value, screening of a model sewage treatment plant and the like. Through signal integrity detection and a dynamic adjustment mechanism of data acquisition frequency, the data quality in the energy efficiency evaluation process is improved, so that the overall precision of energy efficiency evaluation is improved; under the support of system real-time monitoring and data quality control, high-reliability data sources can be effectively screened for evaluation and analysis, so that the energy efficiency evaluation result is more suitable for actual conditions and operation requirements.

The invention discloses an automatic detection system for online insulation monitoring of ship cables, relates to the technical field of ship cable insulation detection, and comprises a hull model module, a cable model module, a hull force monitoring module, a hull deformation monitoring module, a hull deformation analysis module, a cable deformation analysis module, an environmental monitoring module, a cable hardness prediction module, and a cable safety data analysis module; the automatic detection system for online insulation monitoring of ship cables analyzes the relationship between cable hardness and environmental data changes, thereby predicting the hardness of the cable through the change curve of environmental data, reducing the detection frequency of the cable hardness and reducing the maintenance cost, and updating the cable hardness prediction model through regularly detected cable hardness data to ensure the accuracy of model prediction, comparing the insulation strength predicted based on regression analysis with a set insulation strength standard value, judging whether the cable is abnormal, and reminding the cable to be replaced and maintained when abnormal.

The present application relates to the technical field of engineering detection, and particularly relates to a strain clamp detection method and device, computer equipment and a storage medium, the strain clamp detection method comprising: acquiring a target area to be detected, acquiring strain clamps to be detected and corresponding positions to be detected of each strain clamp to be detected from the target area to be detected; acquiring corresponding line operation reference data according to the strain clamps to be detected, performing line detection on the target area to be detected according to the line operation reference data, and obtaining line operation data; acquiring operation abnormal data of the line operation data, triggering remote sensing monitoring messages according to the operation abnormal data, and obtaining line image data; inputting the line image data and corresponding operation abnormal data into a preset line monitoring model for detection, and triggering strain clamp detection messages according to detection results. The present application has the effect of improving the convenience of strain clamp detection.

The invention belongs to the field of definition detection, and discloses an intelligent definition detection method and system for a mobile phone display screen, and the method comprises the steps: S1, generating a detection strategy based on the content displayed by the display screen; s2, acquiring a monitoring area based on the detection strategy, and calculating a local definition score of the monitoring area; s3, calculating a local physical loss score based on the local definition score; s4, calculating a comprehensive definition score based on the local definition score and the local physical loss score; s5, generating a definition evaluation result and a personalized optimization suggestion based on the comprehensive definition score; and S6, updating the detection strategy. According to the display screen definition detection method, intelligent and comprehensive display screen definition detection is achieved by integrating detection of dynamic content, pixel point health and screen physical state, the defects of detection singleness and precision in the prior art are overcome, and it is ensured that a definition detection result can truly reflect the actual visual experience of a user.

The invention belongs to the field of aero-engine manufacturing, and particularly relates to a tongue-and-groove rounding self-adaptive machining method based on group measurement compensation, which is suitable for turbine disc tongue-and-groove side edge rounding manufacturing. The method comprises the following steps: step 1, establishing a mortise structure and rounding; step 2, finishing mortise rounding detection path planning; step 3, determining tongue-and-groove measurement compensation frequency; step 4, finishing programming of a part machining program; and 5, part machining. The problems that in the prior art, when the side edges of the mortises are rounded, each mortise is measured and compensated, the machine occupation time is too long, and the production efficiency is low due to the fact that the number of the mortises is too large can be solved, the detection frequency is greatly reduced through a group detection self-adaption machining strategy, the machine occupation time of mortise side edge rounding milling machining is shortened, and the machining efficiency is improved.

The present invention provides a temperature compensation method for a rapid thermal processing device, wherein multiple groups of temperature measurement points are distributed in the device, and the multiple groups of temperature measurement points correspond one-to-one to multiple heating areas of a target product. The method comprises: obtaining in advance for each type of the target product, the corresponding relationship between the temperature deviation corresponding to each group of the temperature measurement points and the number of target products of the type processed when the rapid thermal processing device processes the target product of the type alone within a test calibration cycle; based on the number of target products of various types processed by the rapid thermal processing device within the current calibration cycle, determining the current temperature deviation corresponding to each group of the temperature measurement points according to the corresponding relationship; based on the current temperature deviation corresponding to each group of the temperature measurement points, compensating the current measured temperature corresponding to each group of the temperature measurement points. The present invention can improve the accuracy of temperature measurement in a rapid thermal processing process.