811results about How to "Comprehensive monitoring" patented technology

The invention relates to the technical field of mining safe engineering, and particularly to a stability monitoring method for a cold high-altitude steep slope. According to the stability monitoring method, through field engineering geology, hydrogeology survey, engineering geological rock quality evaluation and rock mechanical parameter determining, the lithologic condition, the rock structure, the hydrogeology condition, the slope shape, earthquake parameters, explosion parameters and the like of the slope are determined. Slope stability analysis and a treatment strategy measure are performed. Furthermore a comprehensive monitoring system and a slope instability criterion are established.

The invention discloses a MapReduce based load self-adaptive task scheduling method, which comprises the following steps: (1) dynamically monitoring a Hadoop cluster load condition; (2) dynamically monitoring software information generated in the task execution process of each execution node in the cluster; (3) dynamically monitoring hardware information generated in the task execution process of each execution node in the cluster; (4) summarizing load monitoring information, software monitoring information and hardware monitoring information of each execution node in the cluster collected in the steps (1), (2) and (3), and modeling and computing the computing power of each execution node in the cluster; (5) executing a cluster load pre-warning function, and carrying out the intelligent task scheduling according to the computing power of each execution node in the cluster. The MapReduce based load self-adaptive task scheduling method provided by the invention solves the problems that the existing Hadoop scheduler has low perceptibility to cluster resources and unreasonable task allocation, and provides a load self-adaptive and more scientific and effective task scheduling scheme.

The invention relates to a resource monitoring system of a multi-core processor based on a virtual machine and a method thereof. The current host system resource usage information is obtained by taking / proc fake file system in Linux as a bridge, adopting a method that a host machine processor resource collection module is added in the inner core of Linux, and communicating with the inner core of Linux; the communication between the daemon process of a resource monitoring main module and Hypervisor is established by the process track module of the virtual machine, so as to obtain the resource information of a client operation system which runs on the virtual machine; the resource monitoring main module processes the information and displays the information graphically, therefore, the aim that the software and hardware resources of a host system and a client system which is arranged on the virtual machine are monitored is realized.

The invention provides an intelligent monitoring system for area pollution discharge. The system includes an area pollution source intelligent environment on-line supervisory subsystem, an urban sewage conveying intelligent supervisory subsystem, a river drainage basin environmental pollution source intelligent supervisory subsystem and an information sharing layer, wherein the area pollution source intelligent environment on-line supervisory subsystem is used for monitoring a pollution discharge enterprise as a pollution source, the urban sewage conveying intelligent supervisory subsystem is used for monitoring a conveying pipeline, the river drainage basin environmental pollution source intelligent supervisory subsystem is used for monitoring an abnormal condition of a river cross section, and the three subsystems send monitoring data to the information sharing layer and utilize the monitoring data of the information sharing layer to determine the area, time and pollution source of an abnormal pollution discharge accident. Through the system provided by the invention, overall-process monitoring management from generation, conveying, purification to discharge of sewage can be realized, plenty of manpower and material resources are saved, operation is convenient and a result is accurate.

The invention discloses an intelligent building site worker management system. The intelligent building site worker management system comprises an intelligent terminal, wireless charging equipment used for charging the intelligent terminal, an identity identification system, a communication system and a monitoring platform, wherein the monitoring platform comprises a comprehensive government monitoring platform and an intelligent building site worker management platform which are mutually connected through the Internet, the identity identification system is arranged at the building site entrance and exit position, and data transmission between a service provider base station and the intelligent building site worker management platform is realized by the communication system through employing the NB-IoT communication technology. The system is advantaged in that the new-generation NB-IoT communication technology is employed, real-time positioning of building site workers is realized, theintegral building site worker distribution condition is displayed globally, moving tracks of one single or multiple workers can be queried, comprehensive monitoring, stronger control and higher efficiency are realized, and super-low power consumption, mass connection, high coverage and super-low cost are realized.

The invention provides a radioactive source on-line monitoring system based on an Internet of Things technology. The radioactive source on-line monitoring system comprises RF (radio frequency) cards, field monitoring terminals, a transmission network and an on-line monitoring informatization management platform, wherein the RF card is fixedly arranged in each monitoring site with a preset distance from a radiation source, unique identity information of a radiation source, approved geographical position information and the standard radiation dose rate are stored in the RF cards, each field monitoring terminal is arranged in the corresponding monitoring site, and comprises an RF card reader-writer, a radiation dose rate measuring instrument, video collecting equipment, a GPS (global positioning system) positioning device, a controller, an in-site warning device, a communication interface and a power supplying power supply, and the processor is respectively connected with the RF card reader-writer, the radiation dose rate measuring instrument, the video collecting equipment, the GPS positioning device, the field warning device, the communication interface and the power supplying power supply. The radioactive source on-line monitoring system has the advantages that the radiation source can be comprehensively monitored, then, through a communication network, the monitoring information can be remotely obtained in time, and the monitoring efficiency is effectively improved.

The invention discloses an intelligent monitoring system and method for health of empty-nest aged people. The intelligent monitoring system comprises a multi-mode real-time detection module, a big data analysis module and a 4G network response module, wherein the multi-mode real-time detection module is used for collecting multi-mode health data of the empty-nest aged people and judging an urgent abnormal event; the big data analysis module is used for analyzing the health data, establishing a health state model and pre-warning an abnormal state; and the 4G network response module is used for pushing the urgent abnormal event and the abnormal state in real time and realizing interactive operation with a user operation terminal. Meanwhile, the intelligent monitoring system adopts a dual-warning mechanism, so that accurate and comprehensive intelligent monitoring of the physical state and mental state of the empty-nest aged people can be realized; and by utilizing the operation terminal, a guardian and a medical worker can timely obtain corresponding warning information and selectively check the health state of the empty-nest aged people at any time, and the monitoring manner is changed from a traditional passive accepting form into an automatic query form.

The invention discloses an intelligent monitoring system of a self-service bank. The intelligent monitoring system of the self-service bank comprises an outdoor monitoring module used for monitoring or analyzing environment out of an entrance guard of the self-service bank, an indoor monitoring module used for monitoring or analyzing environment in the entrance guard of the self-service bank and providing a user identification function, a security module used for timely warning or sending an alarm for suspicious or illegal actions, a server used for storing user information and providing related calculation service, a control host computer used for connecting with the outdoor monitoring module, the indoor monitoring module, the security module, the server and a pre-authorization module and sending control instructions to the outdoor monitoring module, the indoor monitoring module, the security module, the server and the pre-authorization module, and the pre-authorization module used for enabling a client to pre-authorize business to be handled in the bank or pre-authorize an appointed agent. The invention further discloses a monitoring method based on the intelligent monitoring system of the self-service bank. According to the intelligent monitoring system of the self-service bank and the monitoring method thereof, an overall monitoring system of the self-service bank is integrated, and overall monitoring, intelligent analysis, and timely discovery of the suspicious actions and suspicious personnel are achieved.

The invention describes a safety monitoring system and a monitoring method for the torque output by a power assembly of a hybrid vehicle. The safety monitoring system and the monitoring method can be used for preventing the entire output torque from increasing and reducing accidently to provide relatively reliable protection for every module in the hybrid system, thereby ensuring the safety performance of the hybrid system. The torque monitoring of the safety monitoring system relates to three main controllers, including a hybrid control unit, an engine management system and the hybrid safety monitoring system, and respectively monitors the real output torque of the entire vehicle, a motor and the engine; the system can monitor the entire torque in normal mode and failure mode; the monitoring in normal mode can ensure the accurate explain of the entire real output torque; while the monitoring in failure mode can limit the entire real entire output torque.

The invention provides a system for monitoring distribution network state. The system comprises a bureau distribution network equipment data center, a station distribution network equipment data center, an infrared point temperature monitoring unit, a switch electrical parameter monitoring unit, an environmental humiture monitoring unit, a thermal infrared image monitoring instrument and a distribution network state monitoring software platform, wherein the bureau distribution network equipment data center is connected with the station distribution network equipment data center in a mode of optical fiber communication, wireless communication or carrier communication; the station distribution network equipment data center is connected with the infrared point temperature monitoring unit, the switch electrical parameter monitoring unit, and the environmental humiture monitoring unit through a RS485 respectively; the station distribution network equipment data center is further connected with the thermal infrared image monitoring instrument through optical fibers; and the matched distribution network state monitoring software platform is arranged on host computers of the bureau distribution network equipment data center and the station distribution network equipment data center. As the data information of diversification measurement covers all state parameters of the distribution network equipment, the system for monitoring the distribution network state ensures that perfect and full monitoring is provided for equipment objects.

The invention discloses an intelligent self-service bank system, and the system comprises a recognition system which is used for recognizing a client or client information; a monitoring system which is used for monitoring and analyzing the internal and external environments of a self-service bank; a security system which is used for timely finding a suspected behavior, and reminding the security personnel of a suspected person or warning against the suspected person; an authority control system which is used for controlling and matching with the authorities needed by all services; a remote authorization module; and a server. Through the matching of a risk coefficient and an authority coefficient, the system determines the authority of business handling and risk early warning. The system employs a multistage recognition mode, and can effectively provide a recognition authority matched with a to-be-handled business for the client. The system is integrated with an overall monitoring system of the self-service bank, and can achieve the comprehensive monitoring, intelligent analysis and timely finding of suspected motion and persons. The system enables the suspected behaviors found by the monitoring system to be graded, limits the transaction authority of the self-service bank according to different levels, and can control risks from the source.

The invention discloses a machine room monitoring method, device and system. The method includes the following steps that: monitoring data of a machine room are acquired, wherein the monitoring data include environmental parameters and power parameters of the machine room, wherein the environmental parameters are parameters indicating the environmental conditions of the machine room, the power parameters are parameters indicating the power supply conditions of the machine room; the monitoring data are analyzed, and whether anomalies occur in the machine room is judged, and judgment results are obtained; and the judgment results are outputted. With the machine room monitoring method, device and system of the invention adopted, the technical problem of incapability of an existing monitoring method to carry out comprehensive monitoring on the machine room can be solved.

The invention discloses an online detecting and state assessing system of a metering device. The online detecting and state assessing system comprises a master meter, a master meter assessing device, a data concentrator and a master station server. The data concentrator obtains internal collected electric quantity data of the master meter in a centralized mode and uploads the internal collected electric quantity data to the master station server; the master meter assessing device collects electric quantity data of a power grid master node in real time, reads the internal collected electric quantity data of the master meter, carries out the data statistics and comparison analysis, conducts online detection and state assessment on the master meter, and gives an alarm for the system abnormal situation; the master station server carries out remote monitoring and state assessing on the master meter. The system is low in cost, convenient to install, easy to operate and maintain, and capable of online detecting the voltage, the current, the power, the electric quantity and other data of the metering device, the real-time online error detecting and alarming, the secondary voltage drop testing, the secondary current and voltage load testing on the master meter are achieved, and an existing manual patrolling mode is replaced.

The invention provides a BIM-based unmanned aerial vehicle monitoring method and system. The method comprises a real scene operation step, an unmanned aerial vehicle positioning step and a work condition positioning step. According to the real scene operation step, an unmanned aerial vehicle is operated, an image collection instruction is transmitted to the unmanned aerial vehicle, and real scene images collected by the unmanned aerial vehicle according to the image collection instruction are obtained. According to the unmanned aerial vehicle positioning step, an unmanned aerial vehicle image collection position is generated in a three-dimensional BIM model, wherein the unmanned aerial vehicle image collection position is the position of the unmanned aerial vehicle in the three-dimensional BIM model at a real scene image collection moment. According to the work condition positioning step, a work condition position can be obtained according to the unmanned aerial vehicle image collection position. According to the BIM-based unmanned aerial vehicle monitoring method and system of the invention, the unmanned aerial vehicle and the BIM model are combined together, so that information obtained through aerial monitoring can be recorded, displayed and pushed through the BIM model, and therefore, the working efficiency of monitoring personnel can be enhanced, and manpower can be greatly saved, and the shortening of a construction period can be benefitted.

The invention relates to a method and system for soft measurement of effluent COD in a wastewater treatment system, comprising the following steps: (1) measuring HRT, pH value of influent water, DO of an aerobic pool, reflux ratio r of a mixed solution, and actual effluent COD value; 2) Collect the above-mentioned data samples, use the adaptive fuzzy C-means clustering algorithm to cluster the data, establish a COD fuzzy neural network model according to the number of clusters obtained, and train the model until the error meets the requirements; (4 ) Embed the trained fuzzy neural network model into the industrial computer, and realize the data communication between the MATLAB software and the configuration software MCGS through OPC technology, so as to realize the online real-time monitoring of COD in the effluent of the wastewater treatment system. The invention can solve the problems of high price, difficult maintenance and lagging measurement of the COD measuring instrument for the soft measurement of the COD of the effluent of the wastewater treatment system, and truly realize the online real-time monitoring of the effluent quality.

The invention relates to the field of big data analysis and processing, and discloses an enterprise risk identification monitoring method and device, equipment and a storage medium, and the method comprises the steps: obtaining enterprise data of a target enterprise in a preset time period, and determining an industry category to which the target enterprise belongs according to the enterprise data; searching a credit risk assessment model corresponding to the industry category; extracting a credit risk characteristic variable from the enterprise data according to a preset data dimension and inputting the credit risk characteristic variable into the credit risk assessment model to obtain an enterprise risk identification monitoring result of the target enterprise; determining an enterpriserisk identification monitoring result of the associated enterprise; and generating a corresponding enterprise risk identification monitoring report according to the enterprise risk identification monitoring result of the target enterprise and the associated enterprise. The enterprise risk identification and monitoring method is more targeted to enterprise risk identification and monitoring, and can also monitor enterprises having a correlation relationship with the target enterprise, so that the monitoring is more comprehensive, accurate and reliable.

The invention relates to an integrative ship engine room monitoring system, which comprises an on-board monitoring system, a shore wireless mobile communication system (MCS) ship end, a 3-generation (3G) wireless mobile communication network, an MCS maintenance centre end and a maintenance centre monitoring and analysis system (MAS), wherein the on-board monitoring system communicates with the shore wireless MCS ship end in a way of inter-progress communication or calling a function in a progress; the shore wireless MCS ship end communicates with the MCS maintenance centre end through the 3G wireless mobile communication network in a wireless Internet protocol (IP) manner; the MCS maintenance centre end communicates with the maintenance centre monitoring and analysis system in the way of inter-progress communication; the maintenance centre monitoring and analysis system communicates with a maintenance station of a ground maintenance centre through the Ethernet; and the maintenance station of the ground maintenance centre communicates with a user in a manner of hyper text transport protocol (HTTP). The integrative ship engine room monitoring system realizes more completed and stronger monitoring on a ship, and can effectively detect and diagnose faults of engine room equipment.

The invention discloses a method for monitoring rule-violating advertisements in broadcasting and TV programs. The method includes the steps of S1, acquiring and storing broadcasting and TV data; S2, building the audio content index of the stored data; S3, searching for the rule-violating advertisements from the audio content index according to preset rule-violating keywords; S4, building rule-violating advertisement templates according to the rule-violating advertisements; S5, monitoring the advertisements in broadcasting and TV according to the rule-violating advertisement templates.

The invention discloses a longitudinal axial flow threshing and cleaning testing device, comprising: a material conveying device, a material feeding device, a longitudinal axial flow threshing and separating device, a cleaning device and a detection and control device. The back part of the material conveying device is connected to the front part of the feeding auger of the feeding device; the back part of the feeding auger is connected to a tangential flow threshing and separating device through a conveying groove; the tangential flow threshing and separating device is connected to an auxiliary feeding device; the back part of the auxiliary feeding device is connected to the longitudinal axial flow threshing and separating device; the cleaning device is arranged below the longitudinal axial flow threshing and separating device; and the detection and control device controls the motion parameters of all the devices, and detects and stores the corresponding parameters. The device not only can imitate longitudinal axial flow threshing and cleaning tests in the fields, but also has the advantages of low cost, safe use, comprehensive monitoring, simple and convenient operation, easy regulation and easy measurement; besides, the device can imitate the working conditions in the fields, and reproduce the conveying, threshing and cleaning processes in the mechanical harvest process.

The present invention discloses a self-flowing farmland underground drenching solution collecting device which belongs to the field for researching the environment science, agrology and plant nutriology. The device of the invention comprises an eluviation disk, a water-discharging pipe, a liquid-collecting pipe, a breathing pipe, a liquid drawing pipe, a sampling bottle, a buffering bottle and a vacuum pump; the eluviation disk is used for collecting the drenching solution; the liquid-collecting pipe is connected to the water outlet of the eluviation disk through the water-discharging pipe, the drenching solution in the eluviation disc can automatically flow into the liquid collecting tube; and the vacuum pump is used for extracting the drenching solution collected by the liquid-collecting pipe to the sampling bottle through the liquid drawing pipe under the buffering of the buffering bottle. Comparing with the prior art the invention has the characters of reasonable structure, convenient manufacturing, easy actualizing and the like, and the invention is especially suitable for monitoring the influence of the soil solutes of nitrogen, phosphor, agriculture chemicals and the like to the groundwater.

The invention discloses a mining car measurement monitoring system based on image processing, which comprises a track type sensor used for weighing a mining car, a camera which is arranged right above the track type sensor, and a primary controller which is in a communication connection with the camera; wherein the primary controller judges operating directions of the mining car according to mining car image data collected by the camera, calculates operating speed of the mining car, and carries out counting on the mining car. In the mining car measurement monitoring system based on the image processing, the primary controller judges the operating directions of the mining car through the mining car image data collected by the camera, calculates the operating speed of the mining car, and carries out the counting on the mining car; and the track type sensor weighs the mining car, thus, an accurate and overall monitoring on the reliability and the authenticity of the mining car measurement data is achieved.

The invention provides a buoy for blue algae monitoring and blue algae water bloom early warning, which consists of a buoy carrier, an instrument cabin, a monitoring sensor aggregate, a communication antenna and a solar panel, wherein the buoy carrier supports the whole buoy to float on the water surface, the instrument cabin is fixed on the buoy carrier, the monitoring sensor aggregate is suspended right below the buoy carrier, the communication antenna is arranged on the top of the instrument cabin, the solar panel is arranged on the external surface of the instrument cabin, and a power supply, a control module, a signal receiving / transmitting module, a data recorder, a motor and a sensor position adjustor are arranged in the instrument cabin. The invention can be arranged in lakes, reservoirs or water head sites to monitor effective radiation light intensities, temperatures, dissolved oxygen amounts, blue algae amounts and total alga amounts at different positions and depths in the water bodies with the realization of data real-time transmission.

The invention discloses an enterprise office automation system and method. The method comprises the following steps: setting a form name, a show pattern and a show style according to an enterprise standard; typing an enterprise current plan, a management mode and primary data information of files into a system; processing and arranging the data information by the system according to the data information provided by the enterprise, and showing the data information through a portal, report forms and a graphic functional form; performing plan decision through the shown information and typing into the system; receiving a task planned to allocate through the system prompt information, assisting the operation through a flow set by the plan, and monitoring the running conditions of the task by the system; and controlling the process of the task through the system and finishing the task. Through the technical scheme of the invention, a uniform information framework can be quickly built for the enterprise, fast development, application and adjustment and effective integration are realized, and individual application is supported.

The invention discloses a new-energy automobile fault diagnosis system based on IOT (Internet of Things) and cloud computing. The new-energy automobile fault diagnosis system is formed by multiple new-energy automobile monitors and a new-energy automobile fault monitoring center, wherein each new-energy automobile monitor comprises a wireless communication module, a microprocessor, a current and voltage sensor, a temperature sensor, a revolution speed sensor, an accelerator pedal sensor, an electric motor monitor, a storage battery monitor, an early warning device and a power supply. The new-energy automobile fault diagnosis system disclosed by the invention has the advantages of simple structure, wide coverage range, comprehensive monitoring, intelligentization, humanization and the like, and convenience can be provided for an after-sales service department of a brand automobile to carry out unified monitoring on the fault information of new-energy automobiles needing to be monitored and protected. When a new-energy automobile of an owner is diagnosed in fault, early warning information can be transmitted to the corresponding owner by the monitoring center, convenience is provided for the owner to pay attention to and treat the fault in time, and the damage and the economic loss to the owner caused by the fault of the automobile can be effectively reduced.

The invention discloses a power grid harmonic wave monitoring method. The power grid harmonic wave monitoring method includes the following steps that: harmonic wave data of all typical harmonic waves of a power grid system are acquired; positions where the typical harmonic wave sources are connected into the power system are displayed on a geographic map, and the voltage and current of the harmonic wave sources are monitored; harmonic wave source analysis is performed on the voltage and current of the harmonic wave sources; the harmonic wave sources are graded, colored and displayed in real time according harmonic wave states based on national standards; and harmonic wave sources exceeding the standards are specially labeled, and commonly-used filtering methods and specific filtering parameters are labeled. According to the power grid harmonic wave monitoring method of the invention, the parameters of the typical harmonic wave sources of the power grid system are acquired, are analyzed and calculated; hierarchical display and early warning are performed on the harmonic wave sources based on the standards; the harmonic wave sources exceeding the standards can be correspondingly warned against; corresponding filtering methods and the parameters of filters are provided. With the power grid harmonic wave monitoring method of the invention adopted, the states of the harmonic waves of a power grid can be monitored, analyzed, displayed and warned against clearly and comprehensively, and filtering guide can be provided for the harmonic wave sources. The method is simple, efficient and reliable.

The invention provides a three-dimensional simulating system for scheduling demonstration and algorithm verification of an automated guided vehicle. The three-dimensional simulating system comprises a three-dimensional simulating model, a scheduling module, a calling device and a database for storing path information. The scheduling module acquires corresponding path information from the database for storing the path information according to received current pose information and working state information of the automated guided vehicle and task requesting information which is transmitted by the calling device, generates control instruction according to the task requesting information and the path information, and transmits the control instruction to the corresponding automated guided vehicle. The calling device transmits the task requesting information to the scheduling module. The database for storing the path information is used for storing operation paths and sites of the automated guided vehicle in a real environment. The three-dimensional simulating system optimizes material conveying manner and material management manner of traditional warehouses and factories, so that management personnel can perform more comprehensive monitoring through reproduced presentation of a three-dimensional simulating model and information display of the scheduling module, and furthermore warehouse management efficiency is improved.

The invention discloses a method and a system for monitoring garbage messages and a monitor processing apparatus. The method for monitoring garbage messages comprises the steps of receiving relevant information of the message sent by an external network element, determining the message is a garbage message or not based on a homophonic tone character rule or a homographic character rule, sending a feedback to the external network element to intercept the message if the message is a garbage message and sending a feedback to the external network element to issue the message if the message is not a garbage message. According to the invention, a character coupling is carried out with the pinyin of the message to be monitored and the pinyin of keywords to realize discriminating and intercepting garbage messages using homophonic tone characters and another character coupling is carried out with the message to be monitored and the variation fonts of the keywords to realize discriminating and intercepting garbage messages. Meanwhile, an acceptance and rejection list and short message flow control are combined to make the monitor more comprehensive so that the phenomenon of missing examinations is effectively prevented.

The invention discloses a gateway meter assessment device. The gateway meter assessment device comprises an analog acquisition module, a gateway meter communication module and a CPU; power network electrical parameters are collected by the analog acquisition module, the gateway meter communication module obtains internal collection power network electrical parameters of a gateway meter, the CPU conducts data statistics and contrastive analysis on the power network electrical parameters collected by the analog acquisition module and the internal collection power network electrical parameters of the gateway meter, online testing and state assessment are carried out on the gateway meter according to statistical data and contrastive analysis results, and an alarm is given for abnormal conditions. The gateway meter assessment device is low in cost, convenient to install and simple in operation maintenance; data such as the voltage, the current, the power and the electric quantity of the device can be detected and metered on line; real-time online error detection and alarming, voltage secondary voltage drop testing and current and voltage secondary load testing can be carried out on the gateway meter, and an existing manual patrolling mode is substituted.

The invention discloses a stratified fluid monitoring and sampling device based on pressure pulse. A sampling device is arranged on the inner wall of a drilled hole or a sleeve and comprises a packer system, a liquid sample injection system, a gas sample injection system, automatic multi-way valves, a sampling system, a temperature control system and the like, wherein a pressure container in a pressure pulse system is connected with the valves and a pressure sensor through a pipeline for forming the pressure pulse system, the pressure pulse system is connected with the underground gas sample injection system through the automatic control multi-way valve, the liquid sample injection system is connected with the liquid automatic multi-way valve, and the gas sample injection system is connected with the gas automatic multi-way valve. The state of fluid in a stratum is judged by the pressure pulse, the underground fluid sampling horizon is simultaneously precisely controlled, respective sampling of gas and liquid fluids in different horizons under constant temperature and pressure conditions can be realized, the response rate of sampling is improved and precise sampling under the low flow rate condition can be particularly realized. The device is simple to assemble all the parts and suitable for monitoring the state of the multi-layer fluid in a bored well and sampling the underground gas and liquid two-phase fluid.

The invention relates to a power grid equipment monitoring oriented multi-subject intelligent integrated alarm analysis method which comprises the steps that (1) alarm information is subscribed, and classified by taking an interval as a unit; and (2) when a certain interval is accessed, the following subject data is provided for selection: 1) corresponding wiring diagram data is obtained according to the accessed interval; 2) holographic telemeasuring data of a key parameter of the interval within a period before and after the generated time of the alarm information is acquired according to the interval to which the alarm information belongs; 3) the latest alarm information of the interval is obtained according to the interval to which the alarm information belongs; 4) listing information of the interval is obtained according to the interval to which the alarm information belongs; and 5) equipment electric parameter static information and equipment overhaul records of the interval are obtained according to the interval to which the alarm information belongs. The multi-subject analysis and statistical method provides a quicker and richer means for dispatching automation personnel to check and analyze the alarm information generated during power grid running and for overall monitoring on equipment.