44results about How to "Timely detection of abnormal conditions" patented technology

The invention discloses a monitoring device and a monitoring method for the current capacity of a maritime platform cable. The monitoring device comprises a power distribution cabinet, an optical-fiber grating demodulation monitoring system, a current acquisition device, transmission and relay equipment and a temperature sensor, wherein the current acquisition device is connected with the power distribution cabinet to be used for transmitting the current which is collected by the current acquisition device into the transmission and relay equipment, and an electrical signal is converted into a light signal through the transmission and relay equipment; the temperature sensor is laid on the surface of a cable, and tail fibers of the temperature sensor are gathered into an optical fiber distribution box to be connected into the optical-fiber grating demodulation monitoring system by the optical fiber distribution box through an optical cable. The monitoring method adopts the following steps of 1, collecting real-time current; 2, collecting real-time temperature; 3, carrying out calculation on the temperature and the current capacity of a conductive wire core; 4, carrying out judgment on monitoring data. According to the monitoring device and the monitoring method, dispatch and adjustment on the load of the cable can be carried out, safety in operation of the cable is guaranteed, the problem of power supply in an emergency status is solved, and reasonable utilization of the cable is realized.

The invention provides a vehicle abnormal sleep wake-up early warning method, device and apparatus and a readable storage medium. The method comprises the following steps: after a vehicle power supply gear is in an OFF gear, detecting whether a vehicle gateway normally sleeps or not; if the vehicle gateway does not normally sleep, reminding abnormal sleep; if the vehicle gateway normally sleeps, detecting whether the vehicle gateway is abnormally awakened; and when the vehicle gateway is abnormally awakened, awakening an anomaly. According to the invention, after the vehicle is powered off, anomaly detection of vehicle dormancy and wakeup is realized based on monitoring of the gateway state, and abnormity reminding is carried out when abnormal dormancy or abnormal wakeup exists, so that related personnel can timely find and process the abnormal state of the vehicle.

The invention relates to a fault monitoring method based on hierarchical density peak clustering and the most similar mode. The historical normal data of an industrial process are modally divided to acquire hierarchical modal information. The hierarchical modal information is used to establish a fault monitoring model for the historical normal data of the industrial process. The most similar modeof the industrial process data to be monitored is acquired and input into the fault monitoring model for fault monitoring. According to the invention, existing industrial data resources are used; multimodality and multimodal dynamics and uncertainty of a complex industrial process are considered; the limitations of relying on priori modal information and using fixed modal dividing and models of the existing multimodal fault monitoring method are overcome; and the method is important for timely detecting abnormal conditions in the industrial process, ensuring production safety and improving product quality.

The invention discloses a workshop resource sensing and positioning system based on a wireless pulse. The system comprises a plurality of positioning tags, at least three positioning base stations used for emitting the wireless pulse to position the positioning tags, and a controller, wherein the plurality of positioning tags are separately installed on workshop personnel and equipment; the positioning base stations are installed in a workshop; the positioning tags are all wirelessly connected with all positioning base stations; and the positioning base stations are in wired connection with the controller. The system is reasonable in design and convenient in operation, can aim at safety management requirements in the workshop to realize real-time identification and positioning management of workshop resources through the application of the wireless pulse, so that exceptional situations in the workshop can be found in time, a safety production management level is improved, and working efficiency is improved.

The invention provides an electric scooptram. The electric scooptram includes a vehicle body, a power battery system, an operation system, a traction system, a hydraulic system, a voltage conversion system and a control system; the power battery system comprises a power battery; the operating system is is in signal connection with the control system, and the operation system includes an operationplatform; the traction system comprises a traction motor which is electrically connected with the power battery. The traction motor provides power for advancing or reverse movement of the electric scooptram; the hydraulic system includes a hydraulic pump and a hydraulic oil tank; the voltage conversion system includes a DC / DC converter; the control system includes a central processing unit which is electrically connected with a DC / DC converter, and the central processing unit is in signal with the operation platform, the traction motor, the hydraulic pump motor and the power battery system toachieve control over the operation platform, the traction motor, the hydraulic pump motor and the power battery system.

The invention discloses a website content monitoring and automatic response protection method based on an intelligent analysis technology, and relates to the technical field of electronic data processing, the method comprises the following steps: detecting attacked behaviors of a protected website, wherein the monitoring comprises web log detection and webshell detection for internet applicationsin a target company; carrying out tampering detection on the website content, the text content and the newly-added page; and establishing a corresponding emergency scene according to different attacked behaviors of the protected website, and when any condition of the attacked behaviors is monitored, automatically responding to the corresponding emergency scene. According to the invention, the problem of insufficient professional safety analysis capability of operation and maintenance personnel is solved, and evidence obtaining and after-event tracing of safety events are assisted.

The invention provides an ETC portal system state online monitoring method and system, and the method comprises the steps: building connection with an ETC portal system; sending an acquisition instruction to the ETC portal system; acquiring ETC portal system state operation information; transmitting the operation information to a server; performing data analysis on the operation information to obtain a state analysis result; storing the state analysis result and the running information in a matching manner; and displaying characters in real time and pushing an alarm signal according to a stateanalysis result. The system comprises modules corresponding to the steps of the method. According to the ETC portal system state online monitoring method and system provided by the invention, the problem of economic loss or road danger caused by untimely fault discovery of the ETC portal system can be solved.

The invention relates to a water insulation pipe filling valve with a structure and running state self-detection function. The water insulation pipe filling valve comprises a water insulation pipe body, a water insulation pipe cabin door, a drive oil cylinder, a balance valve, a main control valve, a lock valve, a changeover valve, an energy storage device, travel sensors, a pressure sensor, an ultrasonic flaw detection device and a detection control device. The main control valve, the lock valve, the changeover valve, the energy storage device and the detection control device are all arranged on the outer surface of the water insulation pipe body, the water insulation pipe cabin door is in sliding connection with the water insulation pipe body, the balance valve is additionally embedded in the water insulation pipe body, and the detection control device comprises a data processing circuit, a drive circuit and a communication circuit. The running state of the water insulation pipe filling valve can be effectively monitored, structure detection can be carried out on the mechanical structure and parts of the water insulation pipe filling valve, and therefore the running monitor capacity to the water insulation pipe filling valve can be improved, hidden fault danger existing in the water insulation pipe filling valve can be found in time, and the running stability and reliability of the water insulation pipe filling valve are improved.

The invention discloses a charging circuit used for portable lamps. The charging circuit for the portable lamps comprises a constant voltage module, a voltage detection module, a voltage comparator and an overcurrent protection diode D2. The constant voltage module is connected between a charging power source and a charging battery. The voltage detection module is connected with the constant voltage module and the charging battery so that voltage output to the charging battery can be detected. When the charging battery is detected to be fully charged, the voltage output of the constant voltage module is closed so that protection of the charging battery is achieved. An output end of the voltage comparator is connected with a voltage feedback sampling end of the constant voltage module through the overcurrent protection diode D2. An inverted input end of the voltage comparator is connected with the same end of the constant voltage module through a first divider resistor R8, and connected to the ground through a second divider resistor R9. A non-inverting input end collects voltages at two ends of a sampling resistor at the position of a negative electrode of the charging battery and closes the constant voltage module when the sampling voltages are larger than voltage of the inverted input end so as to protect the charging circuit. In addition, further disclosed is a charging device.

The invention relates to the technical field of automobiles, in particular to a tire replacement monitoring method, a tire pressure monitoring device, a tire pressure monitoring system and a tire pressure monitoring apparatus. The tire change monitoring method comprises the following steps: continuously monitoring tire state data of the tire by using a tire pressure monitoring device, wherein thetire comprises a traveling tire and a spare tire, receiving and counting a positive feedback signal sent by the tire and indicating that the tire is in a normal traveling state; determining that the traveling tire is a tire to be replaced when the number of times of receiving the positive feedback signal sent by the traveling tire does not satisfy a preset condition; displaying the status data ofthe spare tire at the corresponding display position of the tire to be replaced when the number of times of receiving the positive feedback signal sent by the spare tire satisfies the preset condition,. By adopting the scheme provided by the invention, the display positions of the status data of the spare tire and the tire to be replaced can be automatically changed after the spare tire is replaced.

The invention relates to a method and system for checking data accuracy of a substation on-line monitoring system. The method comprises: online monitoring data and off-line testing data of a same timepoint are obtained and a checking database is formed; at least one checking index is obtained based on the checking database; and the at least one checking index is compared with a set correspondingthreshold and an online monitoring system data accuracy determination result is generated. According to the checking method, the performance of the online monitoring system can be calibrated dynamically and the abnormal state of the online monitoring system can be discovered timely, so that the assistance is provided for dealing with a fault timely, preventing a missing report event, and evaluating the product performance of the online monitoring system manufacturer.

The invention discloses a big data early warning management system, and the system comprises: a big data collection module which is used for collecting various types of data in an enterprise; the data classification module that is used for classifying various data in the enterprise acquired by the big data acquisition module; the database that is used for storing the enterprise data classified by the data classification module; the data processing module that is used for reading the classified enterprise data from the database, analyzing and processing the enterprise data and extracting abnormal data; the data early warning module that is used for generating early warning information according to the abnormal data extracted by the data processing module; and the data reporting module that is used for reporting the early warning information generated by the data early warning module to the enterprise management terminal. The system can perform acquisition, classification, processing, early warning and reporting on mass data in an enterprise, can perform real-time monitoring and early warning on the enterprise data, and can discover abnormal conditions in time, thereby realizing efficient and orderly management of the enterprise data.

The invention discloses a comprehensive performance measurement and control system of a lifter. The lift comprises a measurement and control terminal, a monitoring system and a control system, whereinthe monitoring system and the control system are in signal butt joint with the measurement and control terminal correspondingly, the control system comprises an uplink and downlink control unit, a lifter car door control unit, an emergency stop control unit, a maintenance control unit and a landing door switch control unit, wherein the monitoring system comprises a stress monitoring unit, a wirerope state monitoring unit, a landing door monitoring unit, a current voltage monitoring unit and a car running state monitoring unit. When the comprehensive performance measurement and control systemof the lift is applied, the comprehensive running state and performance of the lifter can be detected in real time, so that the daily management, the periodic inspection and the performance evaluation of the lifter are facilitated, the abnormal situation in the running process of the lifter can be found in time, and the safe and stable operation of the lifter can be guaranteed.

The invention discloses a liquid-cooling speed-regulating magnetic clutch for a ship, and relates to a magnetic clutch. The problems that an existing water-cooled magnetic clutch is poor in compensation performance, poor in vibration reduction performance and large in axial occupied space during non-contact torque transmission are solved. The cover shell is fixed to the side wall of a supporting plate, the permanent magnet disc assembly and the conductor disc assembly are both arranged in the cover shell, the permanent magnet disc assembly is arranged in the conductor disc assembly, the transmission shaft penetrates through the center of the support and enters the cover shell, the transmission shaft is sleeved with one permanent magnet disc, and the transmission shaft between an inner ringof the support and the transmission shaft is sleeved with a supporting bearing. A sleeve is connected to an inner ring of the support, the supporting bearing is installed between the transmission shaft and the sleeve, an air gap adjusting mechanism is used for adjusting an air gap between the permanent magnet disc assembly and the conductor disc assembly to achieve separation and reunion and adjust the rotating speed of the load end, and the inner wall of one supporting plate and the outer wall of the shell are each provided with at least one cooling mechanism. The cooling mechanism is used for cooling the two conductor discs. The liquid-cooling speed-regulating magnetic clutch is used for giving full play to the compensation and vibration isolation performance of magnetic transmission.

The invention discloses a detection system and a detection method of a soil temperature-humidity three-dimension map based on an unmanned aerial vehicle and acoustic surface wave sensor nodes. The detection system is mainly characterized in that the advantage of rapid routing inspection of the unmanned aerial vehicle on farmland is exerted, a reader is carried on the unmanned aerial vehicle, a plurality of acoustic surface wave sensor nodes are distributed in farmland soil to be detected according to a certain topological rule, the unmanned aerial vehicle is used for obtaining the temperature-humidity three-dimension map of medium-sized soil and a change rule along the time, and theoretical basis and practical decision are provided for precise irrigation. According to the detection systemand the detection method of the soil temperature-humidity three-dimension map based on the unmanned aerial vehicle and acoustic surface wave sensor nodes, each acoustic surface wave sensor node is formed by connecting a plurality of single-end delay line type acoustic surface wave devices in parallel; each device comprises four reflecting gratings; and the structure is capable of completing the function of sensing temperature and humidity of the soil in parallel and is also capable of simultaneously detecting temperature and humidity values of different depth layer grades in the same surface position.

The invention belongs to the technical field of facility maintenance, and discloses a method and system for maintaining facilities in a biosafety laboratory. The system for maintaining the facilities in the biosafety laboratory comprises a facility monitoring module, a monitoring data processing module, a central control module, a facility maintenance management classification module, a ventilation module, a disinfection and sterilization module, a water supply, drainage and gas supply module, a power supply module, a data storage module and an update display module. According to the method for maintaining the facilities in the biosafety laboratory, the identity, the operation qualification and the operation process of facility maintenance personnel are monitored and controlled in the whole process, and the maintenance personnel, especially advanced professionals, only need to be subjected to technical support on a platform and do not need to go to a work site, so that the maintenance time is shortened, and the operation cost is saved. Meanwhile, an abnormal state can be found in time, and information can be conveniently transmitted and processed in time through informatization management of repair reporting conditions.

The invention relates to a web crawler monitoring method and device, computer equipment and a storage medium. The method comprises steps of obtaining latest data in a data table corresponding to eachweb crawler from a database according to a preset frequency; wherein the latest data comprises a storage time point of the latest data; determining the storage duration of the latest data according tothe current time point and the storage time point of the latest data; when the warehousing duration is greater than or equal to the crawling interval corresponding to the web crawler, judging that the running state of the web crawler is abnormal; and when the operation condition of the web crawler is abnormal, carrying out abnormal alarm. By adopting the method, monitoring efficiency can be improved.

The invention discloses a power equipment recognition method. The method comprises the following steps: constructing a power equipment database; pre-training the Faster RCNN network model through a public database; continuously training the pre-trained Faster RCNN network model through a power equipment database to obtain a trained Faster RCNN network model; identifying the equipment picture through the trained Faster RCNN network model to obtain an recognition result. According to the invention, a power equipment database is constructed; pre-training and re-training are carried out on a Faster RCNN network model; the training of the Faster RCNN network model for identifying the power equipment is completed under the condition that the training samples are very limited, the over-fitting phenomenon is effectively prevented, and the recognition precision of the power equipment is improved, so that the abnormal condition in the power scene can be discovered in time, and the potential safety hazard is indirectly reduced.

The invention provides an air conditioning system and a control method. In the air conditioning system, the inlet of a compressor is connected with the first opening of a cooler through a second pipeline; one end of an indoor heat exchanger is connected with one end of a first throttling expansion valve through a third pipeline; the other end of the outdoor heat exchanger is connected with one endof a second throttling expansion valve; the second opening of a cooler is connected with the other end of the first throttling expansion valve through a fourth pipeline; the third opening of the cooler is connected with the other end of the second throttling expansion valve through a fifth pipeline; a gulp valve is arranged on the second pipeline in an openable and closable manner; a first temperature detector is used for detecting the temperature of fluid in the third pipeline; and a second temperature detector is used for detecting the temperature of fluid in the fourth pipeline or the fifth pipeline. In this way, the temperature can be detected through the first temperature detector and the second temperature detector, and the fluid temperature of key positions can be conveniently obtained; and then, the difference value of the detected temperature can be calculated, so that whether the gulp valve is abnormal or not can be judged through the difference value.

The invention provides a high-security generator set cloud control system. The high-security generator set cloud control system comprises a generator controller, a data encryption module, an equipment authentication access system, a cloud server, a web service system and a monitoring terminal, the equipment authentication access system is used for carrying out identity authentication on the generator controller; the data encryption module is used for encrypting communication between the cloud server and the generator controller; the generator controller is used for acquiring operation information of a generator set and sending the operation information to the cloud server; the cloud server is also used for storing the operation information; the monitoring terminal is used for acquiring the operation information from the server and sending a control instruction to the generator controller by a worker, and the web service system is also used for providing a background management service for the cloud server. According to the invention, remote real-time monitoring of the state of the generator set is realized, and the abnormal state of the generator set can be found in time.

The invention relates to a fault monitoring method based on hierarchical density peak clustering and the most similar mode. The historical normal data of an industrial process are modally divided to acquire hierarchical modal information. The hierarchical modal information is used to establish a fault monitoring model for the historical normal data of the industrial process. The most similar modeof the industrial process data to be monitored is acquired and input into the fault monitoring model for fault monitoring. According to the invention, existing industrial data resources are used; multimodality and multimodal dynamics and uncertainty of a complex industrial process are considered; the limitations of relying on priori modal information and using fixed modal dividing and models of the existing multimodal fault monitoring method are overcome; and the method is important for timely detecting abnormal conditions in the industrial process, ensuring production safety and improving product quality.

The invention discloses a method for observing blast furnace coal injection condition, and belongs to the technical field of blast furnace coal injection device condition monitoring. The method comprises the steps that an imaging plate which directly faces a peephole of a blast furnace tuyere is erected on the outer side of the peephole of the blast furnace tuyere; an included angle between a camera shooting module and the imaging plate is obliquely arranged between the peephole of the blast furnace tuyere and the imaging plate, the camera shooting module records images on the imaging plate and transmits the images to an image acquisition module; the image acquisition module is used for converting the images into grayscale images; and the grayscale images are converted into coal injection images through binarization processing, wherein a coal briquette in the coal injection images is represented by black, and the rest part is represented by white; the ratio N of the black area to the white area is calculated, and when the N is smaller than or equal to a set value, a coal gun is blocked. According to the method for observing the blast furnace coal injection condition, the distance between the camera shooting module and a blast furnace is extended, a cooling device of the camera shooting module is omitted, so that the cost is reduced; the condition of the coal gun can be judged by processing the images on the imaging plate, so that manual observation of the working condition of the coal gun in the furnace is not obstructed.

The invention belongs to the technical field of power systems, and discloses a multi-source data-based safety automatic device sampling inspection method and device, and the method comprises the steps that a remote management system obtains primary equipment information with time scales collected by safety automatic devices of a plurality of substations; the remote management system obtains the primary equipment information with the time scale collected by other remote management systems; and the remote management system groups the collected primary equipment information with the time scales from different sources, compares the primary equipment information in different groups, and obtains the operation condition of the primary equipment according to the comparison result. The method has the beneficial effects that the multi-source primary equipment information is acquired, the operation condition of the primary equipment is monitored in real time from multiple dimensions, the abnormal operation condition of the primary equipment can be found in time, and the safe operation of a power grid is prevented from being influenced by equipment faults.

The invention discloses a new energy automobile motor health detection control system comprising a main chip module, an electromagnetic compatibility, a pressure bridge circuit driving circuit, a power supply, a pressure signal conditioning circuit, an RS422 output circuit, a temperature signal conditioning circuit, a vibration signal conversion circuit and a rotating speed signal conditioning circuit; the system is used for monitoring rotating machinery conditions, monitoring pressure, temperature, vibration and rotating speed signals at the same time and outputting the signals in an RS422 mode after being processed, the vibration signals and the temperature signals are used as main signals, single-shaft vibration is achieved, the units are arranged on the top of a motor, the vibration signals of motor rotation are measured in real time, and when the transverse displacement speed of motor vibration is larger than a fixed speed threshold value or the internal temperature, collected by four temperature sensors, of the motor is higher than a set threshold value, a main chip sends an alarm instruction; and the system has the advantages of high precision, strong anti-interference capability, good applicability and wide application prospect.

A monitoring device and monitoring method for the current carrying capacity of an offshore platform cable, comprising: a power distribution cabinet, a fiber grating demodulation monitoring system, a current collection device, a transmission relay device, and a temperature sensor, wherein the current collection device is connected to the power distribution cabinet, The current collected by the current collection device is transmitted to the transmission relay equipment, and the transmission relay equipment converts the electrical signal into an optical signal; the temperature sensor is arranged on the surface of the cable, and the pigtail of the temperature sensor is collected into the optical fiber junction box In it, the optical fiber distribution box is connected to the fiber grating demodulation monitoring system through the optical cable. The monitoring method adopts the following steps: 1. Real-time current collection; 2. Temperature collection; 3. Conducting wire core temperature and ampacity calculation; and then discriminating monitoring data. The invention can dispatch and adjust the load of the cable, ensures the safe operation of the cable, solves the problem of power supply in an emergency, and realizes the rational utilization of the cable.

The invention discloses a crushing device for an impact type jet mill. The crushing device for the impact type jet mill comprises a crushing chamber, a target piece and an air source, wherein the crushing chamber comprises a feeding hole, a discharging hole and an air inlet; the discharging hole is formed in the top of the crushing chamber; the feeding hole is formed in the top of the crushing chamber and is positioned in the outer side of the discharging hole; the air inlet is formed in the side face of the crushing chamber; the target piece is used for receiving impact of materials and crushing the materials; and the air source supplies compressed air to the material to impact the target piece. According to the crushing device for the impact type jet mill provided by the invention, the target piece is arranged in the crushing chamber, and materials are driven by compressed air to impact and rub against each other so as to be crushed and then rush to the target piece to be crushed again, so that the unit time yield of ultrafine powder and fine powder is remarkably increased, and the crushed materials are regular in shape.

The invention discloses a pet wearable device and a pet monitoring method. The pet wearable device is used for being worn on a pet and comprises an acquisition unit, a processing unit and a voice unit, and the acquisition unit and the voice unit are connected with the processing unit. The acquisition unit is used for acquiring condition data of a pet and sending the condition data to the processing unit. The processing unit is used for judging whether the pet has an abnormal condition or not according to the condition data, and controlling the voice unit to play corresponding voice content when the pet has the abnormal condition, so as to pacify the emotion of the pet and / or indicate the pet to escape from danger. According to the pet wearable device and the pet monitoring method, the condition of the pet can be monitored in real time, and corresponding measures can be taken in time when the pet is in an abnormal condition.

The invention relates to an electric appliance category and use state identification method based on machine learning and socket equipment, and the method specifically comprises the steps: S1, collecting the current data of a plurality of to-be-tested electric appliances in continuous use, and constructing an electric appliance current data set; s2, constructing an electrical appliance use state classification network to obtain an electrical appliance use state classification model, classifying electrical appliance states, and performing division according to a classification result to obtain an electrical appliance state current data set; s3, performing feature extraction on the electric appliance state current data set, constructing an electric appliance category and use state classification network according to features, and obtaining an electric appliance category and use state classification model for training; and S4, according to the trained electric appliance category and use state classification model, identifying the electric appliance category and use state of the inserted to-be-tested electric appliance, and predicting the power consumption of the electric appliance. Compared with the prior art, the intelligent socket has the advantages that the safety of the intelligent electric appliance in the using process is improved, the cost of the intelligent socket is reduced, and the full using state of the electric appliance is classified.

The invention discloses an intelligent lifter monitoring system. The intelligent lifter monitoring system comprises a data processor, a collecting module, a cloud server, a response module and a remote terminal, wherein the collecting module is provided with a weight sensor used for detecting the load of a lifter, a height sensor used for detecting the height of the position of the lifter, an airspeed sensor used for detecting the air speed of the environment of the lifter, and an acceleration sensor used for detecting the movement of the lifter. The parameters collected by the sensors of thecollecting module are transformed into data to be transmitted into a data processor, the data processor processes the data and sends a corresponding instruction into the response module so as to control corresponding devices in the response module to work; the data processor is connected with the cloud server and the remote terminal, and the cloud server is provided with a data base used for storing the parameters. By means of the intelligent lifter monitoring system, the lifter is intelligently monitored, therefore, the whole working process of the lifter is monitored, abnormal conditions inthe running process of the lifter are found in time, and normal running of the lifter is ensured.

This application relates to a monitoring method, device, equipment and storage medium for ship power equipment, relates to the technical field of ship monitoring, and aims to solve the problem that the main engine of a ship can only obtain the state parameters of the power equipment during driving, and cannot predict the fuel consumption of the power equipment in real time The method includes: establishing an initial model of fuel consumption; taking the power parameters of the power equipment in the past voyages, the environmental parameters of the ship, and the actual fuel consumption of the ship; taking the power parameters and environmental parameters of the past voyages as input, and the actual fuel consumption as output , train the initial model of fuel consumption in a deep learning manner to obtain a fuel consumption prediction model; regularly obtain the power parameters of the power equipment in the target voyage segment and the environmental parameters of the ship; and the environmental parameters are input into the fuel consumption prediction model to obtain the predicted average value of the fuel consumption of the target flight segment. The present application has the effect of being able to predict the fuel consumption of ships.