58results about How to "Keep abreast of the running status" patented technology

The invention discloses an intelligent monitoring system for elevator safe operation based on IOT (Internet of Things) technology. The intelligent monitoring system is mainly designed for government regulation departments, maintenance units, manufacturers, property management companies and the like, and provides the above with a set of intelligent, platform-based total management system which supports wireless access and remote access, so that safe operation, management, maintenance and detection of an elevator can be more effectively realized. While daily needs are met, monitoring on the elevator is more normalized, institutionalized and scientized, so that elevator accidents are further reduced, and speed and quality for solving problems after an accident occurs are improved; by utilizing information for driving, the informatization management level of the intelligent monitoring system is improved through advanced and applicable technology and exploitation and construction pattern innovation by comprehensively utilizing information science and technology as well as decision making and management methods, and an emergency response system of elevator safety is favorably established.

The invention discloses a laundry expense paying method of a public washing machine. The paying method comprises the following steps that a cloud server receives washing parameters sent by the washing machine and an identification code of the washing machine; the cloud server calculates the laundry expense of the washing machine corresponding to the identification code according to the washing parameters; after receiving the payment request corresponding to the identification code, the cloud server sends the laundry expense to the user side sending the payment request, so that the user side pays the laundry expense to a charging account of the washing machine corresponding to the identification code conveniently. According to the paying method, the laundry expense can be paid conveniently, so that the user experience is improved. The invention also discloses a washing machine, a cloud server, a user side and a laundry expense paying system of the public washing machine.

The invention provides a method for early warning and diagnosing a water turbine runner blade crack breakdown. The method comprises the step of collecting a historical breakdown data set produced when a hydroelectric generating set which has the water turbine runner blade crack breakdown operates, the step of generating a water turbine runner blade crack breakdown state data set according to the historical breakdown data set, the step of generating a water turbine runner blade crack breakdown state data model of the hydroelectric generating set according to the character distribution of parameters of all data groups in the water turbine runner blade crack breakdown state data set, and the step of monitoring the state of a water turbine of a hydroelectric generating set which has no crack breakdown according to the water turbine runner blade crack breakdown state data model of the hydroelectric generating set. When the state of water turbine runner blades is approximate to the water turbine runner blade crack breakdown state data model, an early warning about the water turbine runner blade crack breakdown is sent out. The method can give the early warning and carry out related diagnosis when the hydroelectric generating set breaks down at the early stage so as to prevent non-planned shut-down accidents of the hydroelectric generating set.

The present invention provides a high-voltage cable partial discharge on-line monitoring alarm method, device and system. The method comprises: obtaining monitoring data monitored by high-voltage cable partial discharge on-line monitoring when the sampling time is up; determining whether the deviation between the monitoring data and a preset alarm threshold is larger than a preset deviation value or not, and marking the monitoring data as alarm data if the deviation between the monitoring data and the preset alarm threshold is larger than the preset deviation value; calculating the ratio between the number of the alarm data and the number of the monitoring data in the statistics period when the statistics period is expired, wherein the ratio is taken as an over-limit probability; and determining whether the over-limit probability is larger than a preset probability threshold or not, and generating alarm information if the over-limit probability is larger than the preset probability threshold. The high-voltage cable partial discharge on-line monitoring alarm method, device and system are able to perform alarm according to the partial discharge measurement result so as to reduce the failure rate of a high-voltage cable line.

The invention discloses a system and method for prompting according to using habits of a user of an electric automobile. The system comprises a cloud server, a client and a battery management system BMS arranged on the electric automobile, wherein the BMS is used for collecting state parameters of a power battery of the electric automobile, generating first-stage data according to the state parameters of the power battery and sending the first-stage data to the cloud server; and the cloud server is used for updating historical data of the electric automobile according to the first-stage data reported by the BMS, acquiring the using habits of the user of the electric automobile according to the historical data, analyzing the using habits of the user to generate prompt information and sending the prompt information to the client bound with the electric automobile, so that the user can know the current running state of the power battery in the electric automobile in time so as to processthe power battery or a single unit of the power battery with problems. In addition, the invention also provides the electric automobile and the cloud server.

The invention discloses a user cooking information statistics and pushing method, and a cloud electric rice cooker system; the method and system use a server end to analyze, store and push the cooking information of the electric rice cooker; a user can timely learn the electric rice cooker real time work state through the pushing function; a mobile control terminal can obtain geography position of an electric rice cooker location, pressure and cooking temperature, thus providing data support of for the user to remotely control the electric rice cooker; the user can timely and effectively control and interact through the data pushed by the electric rice cooker, so a client mobile control terminal display interface can better learn the running state of the electric rice cooker, thus enhancing user experience; the user can closely and more conveniently user the electric rice cooker, and can timely learn about the real time work state of the intelligent electric rice cooker; a mobile control terminal can conveniently check and find cooking data information through the server end, can adjust the cooking process, thus improving user customization and experience; the checking function can directly express cooking details, can help the user to find the best mouthfeel cooking program for the food materials.

The invention discloses an intelligent monitoring device of a biogas engineering anaerobic fermentation system, which comprises a parameter acquisition system, an executive system, a singlechip control system, an HMI (human machine interface) touch screen and a remote communication control system, wherein the parameter acquisition system comprises a sensor group arranged in a biogas fermentation tank; the singlechip control system comprises a singlechip, a first operational amplifier, a second operational amplifier, a relay group and a first GPRS (general packet radio service) module capable of communicating with a network base station; the singlechip is respectively connected with the parameter acquisition system, executive system, HMI touch screen and first GPRS module; the executive system comprises a feeder, a temperature control device and an alkali addition device; the remote communication control system is provided with a GPRS module group; and the GPRS module group can perform signal transmission with the first GPRS module through the network base station. The intelligent monitoring device can monitor the anaerobic fermentation system in time in places covered with network base station signals without in-situ monitoring of operators.

The invention discloses an intelligent system integrated with routing inspection, evacuation and firefighter guide, which comprises a Zigbee wireless intelligent fire-fighting evacuation indicating lamp, a Zigbee wireless fireground firefighter one-man guide instrument, a Zigbee data collector, a Zigbee network protocol converter, a server, a fireground command system and a fire-fighting safety evacuation inquiry and supervision system. The Zigbee wireless intelligent fire-fighting evacuation indicating lamp, the Zigbee wireless fireground firefighter one-man guide instrument and the Zigbee data collector form a Zigbee network which is connected with the server through the Zigbee network protocol converter. The server is connected with the fireground command system and the fire-fighting safety evacuation inquiry and supervision system. The intelligent system is integrated with the routing inspection, the evacuation and the firefighter guide during fire-fighting management work, improves fire-fighting fire prevention supervision work efficiency, reduces the death rate of firefighters in the fireground, and can intelligently evacuate trapped persons in the fireground.

The invention provides an intelligent monitoring system of the state of power distribution equipment. The system comprises a data collecting device, a remote monitoring terminal and an early warning device. The data collecting device and the early warning device are connected with the remote monitoring terminal. The data collecting device includes an aggregation node and a plurality of a sensor nodes; the sensor nodes collect power distribution equipment state monitoring data; and the aggregation node aggregates the power distribution equipment state monitoring data collected by all sensor nodes and sends the data to the remote monitoring terminal. The remote monitoring terminal analyzes the received power distribution equipment state monitoring data and outputs an alarm signal to the early warning device when the power distribution equipment state monitoring data are abnormal, so that the early warning device carries out alarming.

A transformer station monitoring system comprises a monitoring positioning system, a touch screen controller, a central processor, a smart mobile phone and a transformer station monitoring APP. The monitoring positioning system collects data of a transformer station and transmits the data to the touch screen controller through an R485 bus, and the touch screen controller and the central processor conduct data transmission through a GPS wireless network. The transformer station monitoring and maintenance personnel can timely check the operation condition of the transformer station through the transformer station monitoring APP so as to timely find the fault of the transformer station. The transformer station monitoring and maintenance personnel take photos on site and upload the photos to the central processor, and start maintenance when comparison analysis between the uploaded photos and face images of the monitoring and maintenance personnel stored in the central processor is successful, which is beneficial for enabling the maintenance personnel to be professional and prevents imposters. The shooting function of the smart mobile phone replaces face identification equipment hardware installed on site, so that the cost is reduced.

The invention relates to an intelligent traffic signal control machine based on Internet of things. The intelligent traffic signal control machine comprises a signal control machine terminal, a wireless transmission network and a monitoring platform, wherein the signal control machine terminal comprises a single chip microcomputer, a real-time clock module, a light color driving module, a keyboard module, a display screen, a signal output latching module, a signal output driving module, a signal light set module, a single chip microcomputer abnormal detection and RAM (Random Access Memory) data protection module, a green conflict detection module, a fault-tolerant control module, a GPS (Global Positioning System) global positioning module and a GSM (Global System For Mobile) communication module; the monitoring platform comprises a server in which an electronic map is arranged; the single chip microcomputer is connected with the real-time clock module, the light color driving module, the keyboard module, the display screen, the GPS global positioning module and the GSM communication module; the fault-tolerant control module is respectively connected with the green conflict detection module, the signal output driving module and the signal light set module. The intelligent traffic signal control machine has a fault-tolerant function and is capable of realizing wireless transmission and remote supervision and easier to realize intelligent traffic management.

The invention, which belongs to the fields of remote real-time monitoring and information management as well as data communication of an elevator at a port, especially relates to an informatization monitoring management system for an elevator. The system is composed of a data communication system, an elevator running state monitoring system, an information inquiry system, a fault statistics system, an equipment management system, a system backup unit and a system setting management unit. The data communication system is responsible for communication between elevator equipment and a monitoring system database; the elevator running state monitoring system is responsible for elevator equipment state monitoring, PLC state monitoring, and frequency converter state monitoring; and the equipment management system is responsible for managing the elevator equipment, the PLC, and the frequency converter. According to the invention, the detailed data information of operation of the elevator can be collected and transmitted in real time, the remote and real-time monitoring and management of the elevator can be realized, and the operation state of the elevator can be obtained timely and accurately, so that the service capacity and the safety performance of the elevator equipment can be improved.

An embodiment of the invention discloses a cloud application detection method. The method comprises the steps of obtaining at least one application example corresponding to a to-be-detected cloud application, wherein the application examples are in one-to-one correspondence to guard agents; extracting a first eigenvalue corresponding to each application example through each guard agent; when the to-be-detected cloud application meets a preset eigenvalue updating condition or not, updating the first eigenvalue to a second eigenvalue; and if the second eigenvalue is inconsistent, determining theto-be-detected cloud application as a target cloud application with security vulnerabilities. The invention furthermore discloses a cloud application detection apparatus. According to the method andthe apparatus, the integrity protection in running can be provided for the cloud application deployed in a platform as a service, so that the security service capability of the platform as the serviceis improved, the market competitiveness is improved, a user is assisted to timely understand a running state of the cloud application, the cloud application and a running environment of the cloud application are prevented from being maliciously tampered or abnormally running, the user experience is improved, and a cloud service function is enhanced.

The invention discloses an online moisture meter calibration system and method for a cut tobacco preparation link. The system comprises: an information management system and a moisture meter setting module in communication connection with the information management system, wherein moisture meters are arranged at the front ends of all procedures of a cut tobacco preparation production line, and themoisture meters are defined in a segmented manner; a modeling module which is used for establishing a moisture meter calibration model in sections according to a definition result; a moisture prediction module which is used for carrying out real-time segmented prediction on the material moisture by combining historical batch parameters according to the moisture meter calibration model; and an early warning module which is used for carrying out comparative analysis on the predicted value and the measured value, and carrying out early warning and display on the moisture meters of which the predicted value exceeds the material moisture deviation requirement. The invention aims to provide an online and real-time verification means for the moisture meters on the cut tobacco preparation production line so as to prevent cut tobacco quality accidents caused by unstable equipment.

The invention discloses a remote intelligent monitoring system and method for an LED display screen operation state. The system comprises a mobile terminal, a wireless communication module, a drive board, an operation state detection unit and an LED display screen. An operation state monitoring APP is mounted on the mobile terminal. The operation state monitoring APP sends image data to the driveboard through the wireless communication module. The drive board drives the LED display screen to display. The operation state monitoring APP sends a monitoring instruction to the operation state detection unit through the wireless communication module. The operation state detection unit carries out LED display screen failure point detection, temperature detection, humidity detection, smoke detection, switch power voltage detection and fan rotation speed detection and feeds back detection results to the operation state monitoring APP. The detection results are compared with preset state detection thresholds and corresponding operation and alarm are carried out. According to the system and the method, a working state of the LED display can be known timely, and cost is reduced.

A cage information display device, characterized in that: the cage information display device is installed in the cage, the cage information display device includes a display screen and a cage information detection device, and the display screen can display the cage operation status information obtained by the cage information detection device in real time come out. The cage information display device also contains a voice module, which can broadcast information by voice. The invention solves the problem that there is no cage operation state information display in the cage all the time, and is very convenient and practical.

The invention discloses a system and method for monitoring the operation state of a Linux hardware platform, wherein the system comprises an acquisition module and a monitoring device; the acquisition module obtains a parameter value of the current operation state of the Linux hardware platform by reading a system file of the Linux hardware platform and a software interface of a LM_sensors sub-module installed in a Linux hardware platform system; the monitoring device comprises a detection module, a processing module, a storage module, a display module and a power supply module, wherein the detection module is used for acquiring a parameter value of a current external environment of the Linux hardware platform; the processing module is used for obtaining the parameter values of the acquisition module and the detection module at regular intervals and processing the parameter values; the storage module and the display module are used for storing and displaying processed data; and the power supply module supplies power to the monitoring device. By means of the invention, the operation state of Linux hardware platform equipment can be known in time; subsequent product fault maintenance and analysis can be carried easily; therefore, manpower and material resources are greatly saved for equipment manufactures; and the cost is saved.

The invention provides a method for detecting working states and diagnosing faults for a large shield. The method comprises two tasks of fault routing detection and fault processing, the two tasks are processed independently in time domain and exchange information through a database, wherein the fault routing detection task comprises cutter system routing detection, hydraulic system routing detection and electronic control system routing detection, fault signals are generated when faults are discovered in the routing detection process and stored in the database, the fault processing task reads the fault signals from the database, the large shield works normally when the fault signals are not generated, and corresponding fault processing is performed when the faults are read until the faults are eliminated and the routing detection task does not generate fault signals. According to the method, online detection of critical components of the shield is achieved, and running states of equipment can be known in time and faults can be processed in time when faults are caused through monitoring of critical portions and portions prone to faults of the shield.

The invention discloses a petroleum downhole operation safety staring and controlling method based on artificial intelligence. The method comprises the following steps: S1, a network PTZ camera is arranged in a manner of covering petroleum downhole operation; s2, a user selects a to-be-performed operation safety staring and control analysis mode in real time through a client, and automatically adjusts a corresponding PTZ camera to a corresponding operation scene to perform staring and control analysis; in other words, the hoisting operation, the high-pressure operation and the swabbing operation are analyzed respectively; s3, on-duty clothes detection is performed on the human body in the operation area, and whether the human body wears a safety helmet, a uniform and a standard shoe or not can be detected. Herein, the network camera is erected in a petroleum downhole operation system, downhole operation and equipment are monitored in real time, the operation state of the equipment is known in time, and the operation safety of workers is monitored. According to the method, the safety basic management level can be comprehensively improved, major safety production hidden dangers are eliminated, and safety management is improved.

The invention relates to a GIS bus vibration condition monitoring device and monitoring method. The device comprises vibration sensors arranged at preset measuring point positions and a monitoring terminal connected with the vibration sensors. The vibration sensors are used for detecting vibration data of the positions where the vibration sensors are located and sending the vibration data to the monitoring terminal. The monitoring terminal is used for intensively receiving the vibration data, comparing the vibration data with a preset threshold value, and performing early warning and remindingoperation when the vibration data exceeds the threshold value, and the preset measuring point positions comprise a topology measuring point and a structure measuring point. According to the invention, the abnormal vibration of a GIS bus in the operation process can be discovered in time by an operator; meanwhile, the collected vibration data can provide a basis for subsequent research and analysis, hidden dangers can be found as soon as possible, accidents are eliminated in the bud, the safe operation level of a system can be improved, and economic losses caused by the accidents can be reduced.

The invention belongs to the field of motor monitoring, and particularly to an equipment monitoring system based on Internet-of-things. Proposed now is the following scheme, the system comprises a control module, a monitoring module and a processing module; the input end of the control module is connected with a power supply; the output end of the control module is connected with a processing module, a data recording and sorting module and an alarm module; the control module is bidirectionally and electrically connected with the monitoring module, the processing module comprises a plurality ofaction units, the monitoring module comprises a plurality of monitoring units, and each monitoring unit comprises a temperature sensor, a current transformer, a smoke sensor and a vibration sensor. According to the system, an existing production line can be directly transformed, the motors on the production line can be monitored, the monitoring states can be gathered, and the operation state of each motor can be known in time; and meanwhile, when an accident occurs, the accident can be handled in time, and production accidents are reduced.

The invention provides an intelligent monitoring system of the state of power distribution equipment. The system comprises a data collecting device, a remote monitoring terminal and an early warning device. The data collecting device and the early warning device are connected with the remote monitoring terminal. The data collecting device includes an aggregation node and a plurality of a sensor nodes; the sensor nodes collect power distribution equipment state monitoring data; and the aggregation node aggregates the power distribution equipment state monitoring data collected by all sensor nodes and sends the data to the remote monitoring terminal. The remote monitoring terminal analyzes the received power distribution equipment state monitoring data and outputs an alarm signal to the early warning device when the power distribution equipment state monitoring data are abnormal, so that the early warning device carries out alarming.

The invention relates to a wind resistance identification method and device of a fresh air purification system. The motor driver of the fan identifies the parameter changes of the power input power, output phase voltage, output current and motor speed of the motor caused by the wind resistance change of the filter screen and recognizes the Calculate the parameter value; then compare the calculation result with the set wind resistance warning parameter and send the comparison result to the controller; the controller sends a wind resistance warning signal to remind the user to replace or clean the filter. The present invention can calculate the change of the wind resistance of the mechanical ventilation system and the air purification system online by observing and comparing the changes of the parameters in the running state of the fan motor in real time, not only can understand the running state of the system in time, improve the operating efficiency of the system, and reduce the maintenance cost of the system; and It can remind the user to replace or clean the filter screen in time without installing any external instruments or sensors, saving equipment costs and installation costs.

The invention provides a health monitoring system and method for a UPS vehicle. The method comprises the steps that a rotating speed sensor collects the rotating speed of a flywheel to obtain a flywheel rotating speed value; a temperature sensor acquires the temperature of the flywheel to obtain a flywheel temperature value; a limiting sensor collects abrasion of the moving part to obtain an abrasion value; a host compares the flywheel rotating speed value with a preset rotating speed threshold value, and if the flywheel rotating speed value reaches the preset rotating speed threshold value, first fault information is generated; the flywheel temperature value is compared with a preset temperature threshold value, and if the flywheel temperature value reaches the preset temperature threshold value, second fault information is generated; the abrasion value is compared with a preset abrasion threshold, and if the abrasion value reaches the preset abrasion threshold, third fault information is generated; corresponding fault level processing is performed on the UPS vehicle according to the first fault information, the second fault information or the third fault information so that real-time monitoring can be performed on the UPS vehicle, the operation state of the UPS vehicle can be understood, and the accuracy of detection data and the user experience can be enhanced.

The invention discloses equipment state monitoring application system. The system comprises an equipment temperature detection module, a current detection module, a voltage detection module, a harmonic detection module, a processing module, a communication module and a remote server; the equipment temperature detection module, the current detection module, the voltage detection module, the harmonic detection module and the communication module are all electrically connected with the processing module, and the communication module is in signal connection with the remote server; the equipment temperature detection module, the current detection module, the voltage detection module and the harmonic detection module are sequentially arranged on the surface of electrical equipment; the processing module and the communication module are both arranged inside the electrical equipment, the electrical equipment is provided with a power supply module, and the power supply module is electrically connected with the processing module and the communication module. Through the cooperation of several detection devices and modules and the remote server, real-time monitoring of the power consumption load and accurate prediction of the power consumption trend can be realized in time for power consumption of enterprises, and a strong support is provided for scientific power consumption of enterprises.

The present invention provides a cell storage workshop, which is characterized by comprising a clean storage area, a sample transfer chamber and a power supply system. The clean storage area has environmental cleanliness of grade D, and consists of a plurality of storage tanks and a plurality of ultra-low temperature refrigerators; the sample transfer chamber is communicated with the clean storage area through a transfer window; and the power supply system comprises a power supply and a switch; the power supply includes a first electric supply high-voltage transformer substation, a second electric supply high-voltage transformer substation, a standby generator and an EPS power supply. When one of the first electric supply high-voltage transformer substation and the second electric supply high-voltage transformer substation fails, the switch automatically switches to the other high-voltage transformer substation without failure for power supply; when the two high-voltage transformer substation simultaneously fail, the switch automatically switches to the backup power generator for power supply; and when the two electric supply high-voltage transformer substations and the backup generator all fail, the EPS is started for emergency power supply. The cell storage workshop has excellent security.

An embodiment of the invention discloses a distribution box based on a visual intelligent controller and belongs to the technical field of power equipment. The distribution box comprises a box body, adriving mechanism, a detecting mechanism and a visual intelligent controller, wherein the driving mechanism and the detecting mechanism are arranged in the box body, the visual intelligent controlleris arranged outside the box and is in signal connection with the driving mechanism and the detecting mechanism, and the detecting mechanism is arranged on the driving mechanism. The driving mechanismincludes an angle-shaped rack, a guiding device, a first driving device and a second driving device. The guiding device, the first driving device and the second driving device are arranged in a parallel manner, the angle-shaped rack is arranged on the guiding device in a sliding manner, and the angle-shaped rack is arranged between the first driving device and the second driving device. The distribution box can help solve a problem that fire hazards or power failure can be easily caused due to inaccurate detection as detecting equipment in the box body cannot be used for detecting a single device or node. Single device detection can be realized, detection accuracy can be improved, and intelligent control and visual tour inspection can be realized via the visual intelligent controller.

The invention provides a data recording method and device, a memory and T-BOX, the method is based on a T-BOX comprising two memory slices, the data stream is directly written into the memory, the writing speed is high compared with that of writing in a disk, writing of the data stream is not interrupted due to the arrangement of the two memories, data loss is reduced, and the integrity of data records is improved. After data compression, the data volume is smaller than that without compression, so that the data is written into the disk after being compressed, and the time for writing the datainto the disk is shortened; Compared with file compression, the process of reading the data from the disk is reduced, and the system overhead is reduced. Furthermore, the data format is converted into the binary format, so that the compression efficiency is improved, and the disk occupation is reduced. And the data is uploaded in real time, so that the running state of the vehicle can be known intime.