20results about How to "Timely detection" patented technology

The utility model discloses an automobile torsion bar strength simple detection device comprising a pedestal, two parallel guide rails are arranged on the pedestal, one end of each guide rail is provided with a slide block, the other end of each guide rail is provided with a fixed block, a rotating shaft parallel to the guide rails in the fixed block is communicated with two sides of the fixed block, and one end of the front end of the rotating shaft located at the inner side of the fixed block is provided with a rotating disc. A mounting groove is formed in the axis position of the other side of the rotary disc, a mounting block is arranged in the mounting groove, and a fixing groove is formed in the mounting block. The beneficial effects of the utility model are that the utility model provides a simple and convenient automobile torsion bar strength detection device, through adopting a simple, convenient and rapid detection technology, the time of torsion bar strength detection is greatly shortened, compared with a traditional manual loading experiment, the novel device can realize timely and rapid detection, the detection period is reduced, and the detection efficiency is improved. The production efficiency is improved, and the rapid production line detection requirement is met.

The invention discloses a dynamic monitoring method for bag explosion and coal sample scattering of a packer and a related device, and belongs to the technical field of power plant fuel management. The method comprises the following steps: collecting a coal sample transportation image in real time through visual perception equipment on a transportation path after a coal sample is packaged; performing real-time analysis on the coal sample transportation image based on an image recognition algorithm, and detecting whether a coal sample scattering area exists or not; when a coal sample scattering area is detected, estimating the scattering amount according to image features of the scattering area; and if the scattering amount exceeds a preset threshold value, generating a bag explosion alarm signal. Through the three-level architecture of the sensing layer, the algorithm layer and the business layer, the problems of detection lag, high false alarm rate and insufficient data credibility in the prior art are solved, and dynamic, accurate and credible monitoring of the whole process of coal sample packaging and transportation is realized.

The embodiment of the invention discloses a cracking risk processing method and device, electronic equipment and a computer program product. Wherein the client calls a communication interface to establish at least two communication connections with the server side, calls a java layer communication interface to establish at least one type of communication connection with the server side, and calls a C / C + + language layer communication interface to establish at least one type of communication connection with the server side; respectively generating at least two messages by using the operation data of the client, and respectively sending the at least two messages to the server through the corresponding communication connections; and the server side detects whether the client side has a cracking risk or not by comparing the consistency of the operation data corresponding to the same request identifier. On one hand, the cracking difficulty of a client communication interface is reinforced through a C / C + + language layer communication interface; and on the other hand, through cross validation of the transmission layer, low-cost and high-reliability cracking risk detection is realized, so that the data authenticity is improved.

This application provides a method, apparatus, electronic device, and storage medium for detecting deforestation in forest areas, relating to the field of artificial intelligence technology, to solve the problems of poor real-time performance and high detection costs in forest deforestation detection. The forest deforestation detection method includes: upon detecting the presence of a first feature in a first forest area image, detecting the presence of a second feature in a second forest area image. The first forest area image is acquired by a detection device installed on an outdoor tower. The second forest area image includes all or some features of the first forest area image, and includes the first feature, which is a feature matching the features of deforestation equipment, and the second feature is a feature matching the features of tree felling. If the second forest area image contains the second feature, it is determined that deforestation has occurred in the forest area corresponding to the second forest area image.

The flow detection device comprises a shell, an airflow channel is arranged in the shell, and an air resistance structure is arranged in the airflow channel so that the airflow channel can be divided into an air inlet section located on one side of the air resistance structure and an air outlet section located on the other side of the air resistance structure. The air resistance structure is at least provided with a ventilation grid part in the middle area of the airflow channel, the shell is provided with a detection opening corresponding to the air inlet section and provided with a detection pipe extending into the air outlet section corresponding to the air outlet section, and the tail end of the detection pipe extends to the ventilation grid part to detect airflow passing through the ventilation grid part. The ventilation grating part is separated to form a plurality of airflow passing ports arranged in an array mode, airflow can be divided into a plurality of strands to pass through when passing through, the stability of the flow state of the airflow can be guaranteed, and the airflow can pass through the detection pipe in the air outlet section in a laminar flow state. The detection pipe can cross a viscous area close to the channel wall to directly detect the airflow in the central area of the airflow channel.

This invention relates to the field of coal mine safety production and occupational health protection technology, and discloses a dust monitoring and automatic dust suppression control system for coal mining environments, including a PM sensor, a central control unit, a dust suppressant spraying facility, a feedback optimization mechanism, and an electrical control system. The PM sensor is a high-sensitivity laser scattering sensor with automatic dust removal and temperature compensation functions, deployed at preset intervals to achieve real-time monitoring of dust concentration at multiple points. The central control unit, based on IoT and mechatronics technology, integrates data from multiple heterogeneous sensors such as dust concentration, temperature, and humidity to construct a dynamic spraying decision model with lithology identification capabilities, introducing a working condition correction coefficient α (α=k₁・S+k₂・R) to dynamically set a 4α mg / m³ trigger threshold. The dust suppressant spraying facility sprays environmentally friendly dust suppressant to form a fine mist that captures dust. The feedback optimization mechanism adjusts the spraying interval based on the concentration decay data after spraying. The electrical control system ensures safe operation through relay and contactor isolation design. This invention solves the problems of low efficiency, poor adaptability, water waste and easy equipment damage in traditional dust suppression methods, and achieves precise, efficient and safe dust control in coal mines, ensuring the health of workers and production compliance.

This application relates to the field of cooling equipment technology and discloses a liquid leak detection device, which includes a water-receiving module, at least two first waterproof elements, and a detection module. The water-receiving module includes a first housing and a second housing. The first housing includes at least one first mounting groove. The second housing is pivotally connected to the first housing and includes at least one second mounting groove. The second mounting groove and the first mounting groove form a first mounting hole. The first waterproof elements are respectively disposed in the first mounting groove and the second mounting groove. The first mounting hole is used to tightly fit the waterproof elements onto the coolant pipeline of the cooling system. In this way, the liquid leak detection device can collect or catch liquid leaking from the coolant pipeline, and can be installed or disassembled without the aid of tools.

The application provides a cigarette package drying agent taking-out detection device and a use method thereof. The device comprises a drying agent sucking device for sucking out the drying agent in the empty cigarette package; and a detection device arranged behind the drying agent sucking device for detecting the drying agent in the empty cigarette package. The drying agent sucking device is installed on a cigarette package production line equipment package station. The drying agent in the empty cigarette package can be sucked out during the time period when the empty cigarette package is transversely conveyed and stopped. The empty cigarette package after the drying agent is sucked out is further conveyed on the production line to package the cigarette small packages. The detection device can detect the empty cigarette package after the drying agent is sucked out by the drying agent sucking device, so that the drying agent not sucked out in the empty cigarette package can be detected in time.

The utility model discloses a double-disc machine structure which comprises a main body box, the upper surface of the main body box is fixedly connected with a bearing plate through bolts, the bearing plate is provided with a first optical detection glass platform, and the bearing plate is further provided with a detection assembly, a feeding assembly and a material collecting structure. The detection assembly, the feeding assembly and the material collecting structure are arranged around the first optical detection glass platform in a surrounding mode, materials enter the vibration disc through the feeding hopper, the vibration disc is driven by the vibration motor to vibrate, the materials are arranged in order along a specific track, and then the direct vibration structure is matched with the vibration disc. Materials are uniformly and stably conveyed to the first optical detection glass platform at a stable vibration frequency, in the process, the guide structure guides the materials to move through the guide plate with a preset track, it is ensured that the materials enter a detection area according to a preset path, meanwhile, the optical fiber structure monitors the positions and states of the materials in real time, signal feedback is provided for subsequent links, and the detection efficiency is improved. And the material enters the first optical detection glass platform.

The embodiment of the invention provides a liquid chromatograph fault diagnosis method, a liquid chromatograph, a device and equipment, and relates to the technical field of sample detection, and the method comprises the following steps: determining the fault of a liquid chromatograph based on the pressure values of an infusion pump in the liquid chromatograph in a current pump period and a preset number of pump periods before the current pump period; determining a to-be-utilized parameter value of each specified pressure dimension; according to the membership function corresponding to each specified pressure dimension, determining a to-be-detected membership value corresponding to the to-be-utilized parameter value of the specified pressure dimension; determining the probability that the operation state represented by the parameter value belongs to each preset operation state by combining each to-be-detected membership degree value and utilizing a pre-constructed fuzzy reasoning model; the fuzzy reasoning model is constructed based on a reference membership value corresponding to a parameter value of each specified pressure dimension in each preset operation state; and determining the preset operation state with the maximum probability as a fault diagnosis result of the current pump period. Therefore, the fault of the liquid chromatograph can be detected in time.

The invention discloses a distributed photovoltaic system DC arc fault identification method and system, a medium, equipment and a product, and belongs to the technical field of DC arc fault identification. The method comprises the following steps: carrying out data preprocessing on collected current data, and carrying out feature extraction on the preprocessed current data by utilizing a Teager energy operator to obtain an instantaneous energy change feature sequence; performing sliding window processing on the instantaneous energy change characteristic sequence, and calculating a mean value, a standard deviation and a dynamic threshold th1 of numerical values in each time window; if th2 numerical values in continuous n numerical values are greater than a dynamic threshold value th1 in the instantaneous energy change characteristic sequence, it is judged that direct current arc is generated, and otherwise, it is judged that the state is normal. According to the method, local nonlinear energy analysis is carried out on the current time domain signal, arc detection is realized in combination with the adaptive threshold, and the method has the advantages of high operation efficiency, low false alarm rate, high real-time performance and the like, and is suitable for a distributed photovoltaic system.

This invention belongs to the blockchain field, specifically a ransomware address identification method for UTXO model blockchains. The invention includes: extracting transaction features of the addresses themselves based on ransomware activity; innovatively defining four transaction relationships and aggregating related address features to construct cascaded transaction features; utilizing a positive sample unlabeled learning method to reduce the impact of data imbalance and constructing a ransomware address identification model; and rapidly updating address features to achieve timely early warning of ransomware activities. This invention can efficiently and accurately identify blockchain addresses used for ransomware activities in UTXO model blockchains, assisting in blockchain supervision and combating illegal activities. This invention also provides a reference for ransomware address identification schemes in other payment networks. By customizing the extraction of transaction features, ransomware address identification schemes for different payment networks can be designed, which is beneficial for combating rampant and highly harmful ransomware activities in blockchains and has excellent application prospects.

This invention discloses a corrosion-resistant, high-efficiency PTFE heat exchanger, relating to the field of PTFE heat exchanger technology. It includes a heat exchange shell section, inside which a PTFE heat exchange device is installed for protection against chemical reactions. A water inlet control component and a drain control component are installed on the heat exchange shell section. Both the water inlet and drain control components are equipped with passage retainers. A pressurization auxiliary component is installed on the heat exchange shell section. The use of PTFE tubing in conjunction with an internally installed rubber tube improves the safety of PTFE tube heat exchange, preventing chemical reactions caused by leaks and reducing costs due to equipment corrosion. This addresses the problem of significant safety hazards and poor protection in current corrosion-resistant, high-efficiency PTFE heat exchangers when leaks occur.

This application provides a method, storage medium, device, and system for detecting engine cylinder liner faults. The method includes: acquiring a first gas transmitted through a gas pipeline; the gas pipeline includes a first conduit for cooling an engine fuel cylinder; the first conduit is used to transmit gas generated during the cooling process of the fuel cylinder. Then, in response to detecting that the components of the first gas include target components generated by fuel combustion, a fault is determined in the fuel cylinder liner. This method achieves timely and accurate detection of cylinder liner faults.

This invention relates to a pesticide application control method and system based on the coupling of three-dimensional pest distribution and aerodynamic field, belonging to the field of pest control technology. It includes collecting pest data within a grain pile through a sensor network deployed in a three-dimensional grid, generating a three-dimensional pest density distribution field based on the pest data, and combining this data with temporal information such as pressure, temperature, humidity, and pile height within the grain pile. This enables an airflow control scheme that utilizes the synergistic effects of first-order axial flow, second-order radial flow, and third-order tangential vortex to guide gaseous insecticides to act on the pest-affected area. This facilitates comprehensive, timely, and thorough detection and control of pests within the grain pile, thereby improving the pest control effect.

The utility model discloses a portable micro -size gas alarm, related to gas alarm technical field, including gas alarm body, the clamping mechanism is installed in the side outer wall middle part of gas alarm body embeddedly, the outer wall four corners of gas alarm body all are equipped with anti -collision mechanism, the utility model discloses the cooperative work of clamping seat, adjusting chamber, spacing frame, clamping plate and spring etc.

This invention belongs to the field of biochemical detection technology and discloses a method for detecting the content of the biomarker GSH based on TMB colorimetric method. The specific technical solution is as follows: Step 1: Hydrogen-bonded organic framework is synthesized by hydrothermal method, and the transition metal Fe is introduced for modification to obtain HOF-Fe material; Step 2: Acetic acid-sodium acetate solution is used as background solution, TMB solution and H2O2 solution are added respectively, and finally HOF-Fe is added to react. The peroxidase-like activity of the material is measured by ultraviolet spectrophotometer; Step 3: Glutathione solution of different concentrations is added to the above reaction system to quantitatively detect glutathione. This method constructs a high-performance colorimetric sensor by preparing a novel HOF-Fe nanozyme, which can realize rapid, high-sensitivity and high-specificity detection of glutathione, and can be widely used in the determination of glutathione content in actual samples.

The invention provides an information detection method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of data processing. The method comprises the following steps: determining whether function description information contains target description information corresponding to a preset artificial intelligence (AI) description information set in response to obtained updated function description information of a detected network; whether the target description information exists or not is determined according to the function description information, the information detection range is narrowed, and the calculation amount is reduced; if the function description information contains target description information corresponding to the preset artificial intelligence (AI) description information set, sending an information request to the detected network; the information request comprises interface calling information of the AI model; and according to the network feature information fed back by the detected network, determining whether the detected network contains the AI model used for generating the information, thereby realizing timely detection of the generated service corresponding to the detected network, reducing supervision blind areas, and improving detection efficiency.

An adaptive link management method and system based on satellite mobile communication employs a PPP-based UDP protocol for initial link negotiation. Network address and other information are exchanged through link establishment request and confirmation signaling interactions. Network segment relationships are determined based on address information: GRE encapsulation with proxy ARP assistance is used for same network segments, while standard GRE encapsulation is used for different network segments. Link endpoint identifiers are negotiated and a bidirectional transmission link is established under the selected encapsulation mode. After link establishment, both parties periodically exchange keep-alive signaling to maintain connectivity. Simultaneously, the status of connected local access devices is monitored, and information is synchronized according to a preset period and / or status changes to dynamically update the transmission path and perform IP address conflict detection and handling. The transmission link is released normally through link release signaling. This scheme improves link adaptability and bandwidth utilization, effectively prevents address conflicts, and thus enhances network reliability.

This application provides a method, instrument, apparatus, and device for diagnosing liquid chromatograph (LC) faults, relating to the field of sample detection technology. The method includes: determining the parameter values ​​to be utilized for each specified pressure dimension based on the pressure values ​​of the infusion pump in the LC during the current pump cycle and a preset number of pump cycles prior to the current pump cycle; determining the membership value to be detected corresponding to the parameter value to be utilized for each specified pressure dimension based on the membership function corresponding to that specified pressure dimension; combining each membership value to be detected, using a pre-constructed fuzzy inference model, determining the probability that the operating state represented by the parameter value to be utilized belongs to each preset operating state; the fuzzy inference model is constructed based on the reference membership values ​​corresponding to the parameter values ​​of each specified pressure dimension under each preset operating state; and determining the preset operating state with the highest probability as the fault diagnosis result for the current pump cycle. This allows for timely detection of LC faults.