79results about How to "Guaranteed healthy operation" patented technology

The invention relates to a multi-sensor fusion method used in an urban long tunnel monitoring system which consists of a sensor system, a collection communication transmittance interface and database storing data; the invention is characterized in that the collection communication transmittance interface is completed by PLC; meanwhile, the collection communication transmittance interface collects analog quantity and digital quantity both of which is output by the sensor system, directly sends the analog quantity and digital quantity to the database of a supervisory computer to be implemented fusion procession; the database outputs signals to man-machine interaction interface and intelligent warning system monitoring communication environment; the intelligent warning system can send out warnings including fire warning, visibility warning, carbon monoxide density warning, traffic volume and vehicle speed warning and light intensity difference warning at tunnel entrance. The invention is characterized in that information collected by a plurality of sensors is fused and urban underground long tunnel can be monitored in real time; the self warning of health condition in the tunnel and the self warning of equipment failure can be achieved so that long time health operation of the tunnel can be guaranteed.

The invention discloses an overhead power transmission line running state assessment method based on a bidirectional Bayesian network. The method can be used for conducting a real-time assessment on the running state of an overhead power transmission line. According to the method, a Bayesian network structure for the assessment of the running state of the power transmission line is constructed with various factors which influence the running state of the power transmission line serving as a condition attribute set and the running state of the line serving as a decision attribute, a conditional probability table is obtained according to sample training, and by utilizing the bidirectional reasoning technology dedicated to the Bayesian network, the running state of the line can be judged by means of causal reasoning, and the hidden danger of the state can also be recognized by means of diagnostic reasoning; when an assessment error exists, a self-feedback system can be used for conducting early warning and correction, an assessment database, the network structure and parameters can be modified dynamically in real time so as to be adapted to an update, and therefore healthy running of the power transmission line is truly guaranteed.

The invention discloses a method and a system for online evaluating overall measuring errors of an electric energy measuring device. The method includes the steps of firstly, online acquiring multiple groups of electric energy data, and calculating corresponding bus electric energy unbalance rates to build mapping models; secondly, using two optional circuits to form a circuit pair, setting the virtual electric energy value of the current circuit pair and the electric energy value of other circuits to be 0 each time, calculating to obtain a virtual bus electric energy unbalance rate which serves as the overall measuring relative error of the electric energy measuring device of the current circuit pair according to the mapping models, and finally acquiring the overall measuring relative errors of all circuit pairs; thirdly, comparing the overall measuring relative errors with preset error conditions to judge error states. The system comprises a mapping model building module, a relative error calculating module and an error state evaluating module. The method and the system have the advantages that field tests are not needed, the overall measuring error states of the electric energy measuring device can be monitored in real time, and the method is simple to implement, convenient to use and efficient and safe.

The invention discloses a distributed direct-current micro-grid energy control method. The method combines a solar cell maximum power tracking strategy, uses disturbance tracing method to keep the solar cell transmitting in the maximum power all the time, and makes the best of energy produced by the solar cell to provide the energy for the system; Use the storage battery self-adapting droop coefficient control strategy. With the changing of the storage battery SOC, self-adapt the droop coefficient to enhance the accuracy of the storage battery controlling the system energy, and improve the stability of the system; Use fuel cell economic operation strategy to keep the fuel cell working in the stable stage of the ohms voltage, namely the economic running belt, and provide energy for the system when the solar cell and the storage battery cannot provide adequate energy for the system, and maintain the stability of the system.

The invention provides a data UE visual design system, which comprises a data management module used for obtaining source data through a local file uploading mode or a far-end database extraction mode, selecting a database needing to be configured with data connection, generating new data connection information, and then storing the collected source data into the database; a visual tool design module used for designing a visual interactive chart editing tool to serve as a display board for displaying data; a billboard editing module used for importing a billboard installation package from theoutside and installing a corresponding billboard; and a visual presentation module used for receiving an operation instruction of a user on a visual tool, dragging the corresponding interactive chartediting tool according to the operation instruction, and carrying out real-time updating presentation on the created data in a designed billboard style. According to the method, the usability is ensured, meanwhile, powerful data visual analysis, visual exploration and display functions are provided, and all requirements of organizations for data processing and operation analysis are fully met.

The invention discloses a detecting identifying and positioning method for fire-fighting water pipe network leakage, and belongs to the field of fire safety. The method includes the steps of (1) multiple sets of vibrating sensors collect fire-fighting water pipe network acoustic emission signals synchronously; (2) a correlation matrix is established through synchronizing signals, whether leakage occurs or not is judged, and leaking pipelines are identified if the leakage occurs; (3) data detected by the sensors in the direction of the leaking pipelines are extracted; (4) EEMD and energy feature extraction decomposition are carried out to obtain an IMF containing leakage source information; (5) cross-correlation analysis is carried out on multiple sets of IMF data to obtain a time difference, and positions of leakage points are calculated; (6) the positions of multiple sets of leakage points are weighted to obtain finial positions of the leakage points. According to the method, the problem that extinguishment water pressure or flow is insufficient due to fire-fighting water pipe network leakage is solved, and a fire-fighting water pipe network can be really used when needed.

The invention discloses a healthcare composition containing coenzyme Q10, a capsule preparation and a preparation method. The healthcare composition is composed of the following materials: 2-40 parts of coenzyme Q10, 60-98 parts of ethyl ester type or triglyceride type fish oil and 0.01-10 parts of accessories, wherein the sum of mass percents of EPA and DHA contained in the fish oil is 30%-80%. The capsule preparation employs the healthcare composition as the content and is prepared through four steps of capsule cover preparation, content preparation, pelleting and drying. The healthcare composition is characterized that the coenzyme Q10 and the fish oil are combined so that respective effects of the two can be thoroughly developed and the two cooperate with each other to resist fatigue; as the healthcare food, the healthcare composition enables a user to be supplemented with the coenzyme Q10 and the fish oil simultaneously; rational formulation of the coenzyme Q10 and the fish oil is more beneficial for the health of the cardiovascular system; the healthcare composition is packaged in the form of the soft capsule so that the obtained healthcare food is safe, effective, and good in stability, and also advantageous for the human body to absorb and utilize the coenzyme Q10.

The invention discloses a centralized monitoring and early-warning method aimed at a java web application. According to the method, a set of strategy of simple deployment is provided, deployment capability of the application in a cluster is promoted greatly, and operation and maintenance efficiency is improved; data is acquired in a non-invasive mode, and pressure on an application system is reduced to the greatest extent; data acquisition is executed in a manner of server-middleware-application, and abundant of monitoring data is provided; a nosql storage mode, integrated with analysis tools, such as hadoop, is adopted for predicting state trend of the server, and thus, healthy operation of the application system is guaranteed.

The invention discloses a big data deduction based electric energy metering device error detection method and system. The method includes the steps: acquiring multiple sets of electric energy data of each circuit, calculating bus electricity quantity non-balance ratio, building a mapping model of electric energy and bus electricity quantity non-balance ratio, calculating close degree of electric energy data and a virtual load model, selecting a plurality of sets of electric energy data according to the close degree to form a training sample set, taking the bus electricity quantity non-balance ratio as a teacher sample set to train the artificial neural network, and performing deduction and reconfiguration to obtain whole error. The system comprises an electric energy data acquisition unit, a bus electricity quantity non-balance ratio calculation unit, a virtual load model building unit, a close degree calculation unit, a sample set generation unit, an artificial neural network training unit and a whole error calculation unit. The method and system can monitor whole metering error of electric energy metering devices in real time at the same time, and has the advantages of avoidance of field test, simplicity in realization method, real-time performance and quickness in detection, high efficiency and safety.

The invention discloses an indoor distribution hidden fault troubleshooting method and device. The method comprises the steps of obtaining MRO (Measurement Report Original) data; analyzing the MRO original data to obtain MRO formatted data; calculating a coverage extension index related to RSRP (Reference Signal Receiving Power) of a service cell according to the MRO formatted data; and determining whether a hidden fault exists in the service cell or not according to the coverage extension index.

The invention discloses an industrial flow equipment chain detection method for a distributed type wireless sensing network. The method comprises the following steps: based on a property of industrialflow equipment that a parameter space is dispersed and a time sequence is continuous, carrying out frequency difference variation space-time correlation signal sensing and transmission by adopting the distributed type wireless sensing network, and carrying out wireless sensing information interaction corroborative fault situation estimation on an industrial flow equipment chain; developing local-central two-grade distributed type fault chain construction and expert database self-learning. According to the industrial flow equipment chain detection method disclosed by the invention, wireless sensing node sensing and node communication functions, and industrial parameter sensing, equipment fault estimation and the expert database self-learning are combined; when industrial equipment state detection is carried out, predication of equipment faults is also realized in advance, so that the practicability and reliability of carrying out industrial flow equipment detection by utilizing the wireless sensing network are enhanced.

The invention relates to the electric power system regulation and control informatization field and especially relates to a multidimensional analysis display system based on power grid regulation and control operation monitoring and a method thereof. The system comprises a display screen, a display theme module, a data model, ETL data integration, a three-area power grid dispatching operation management system (OMS) and a national power grid intelligent power grid dispatching technology support system basis platform (D5000). The display theme module comprises 10 theme modules of an operation mode, accident tripping, an equipment defect, back brake operation, alarm suppression, a reactive voltage, information processing, online monitoring, an operation and maintenance condition and a work condition. Information of each transformer station can be timely grasped, a supervisor can be reasonably arranged to carry out key work, a power grid operation state is monitored, and a power grid historical operation condition is analyzed and displayed so as to guarantee health operation of a power grid.

The invention relates to a flow control method for a P2P file sharing network based on a price mechanism, and the method comprises the following steps: enabling an uploading link of a resource provider and a downloading link of a resource requester to respectively initialize the received prices; adjusting the price at the next moment according to the total flow of the links; enabling the resource provider to initialize the downloading speed for each resource requester; enabling the resource requester to obtain the price to be paid according to the obtained total flow; enabling the resource provider to adjust the speed at the next moment which is distributed to the resource requester according to the paid price of the resource requester, the received price of the downloading link of the resource requester and the received price of the uploading link of the resource provider; and carrying out the iteration of a link end and a user terminal according to the above steps till the optimal point is reached, i.e., the optimal flow distribution strategy for all users. The method is reasonable in flow distribution, and is simple and accurate in algorithm.

The invention discloses a monitoring method for a turn-to-turn insulation fault of a dry air core reactor and is suitable for the monitoring, identification and early warning of early and developmentperiods of a reactor turn-to-turn short-circuit fault. By setting a magnetic field detecting coil of a differential structure near at the surface of a dry air reactor near upper and lower star arms, areactor magnetic field transient signal is obtained, and the development stage of a reactor turn-to-turn insulation fault is judged. The purpose of the early identification and early warning of the abnormal working state of the reactor is achieved. At the same time, the high-voltage isolation is realized by using signal wireless transmission, and the work reliability and safety of a reactor bodyare ensured.

The invention discloses a wind turbine generator blade defect non-contact monitoring device and additionally further discloses a corresponding method. The wind turbine generator blade defect non-contact monitoring device comprises an acoustic emission sensor, a signal processing and transmitting unit and a signal receiving terminal which are in signal connection sequentially; the acoustic emissionsensor converts pneumatic noise signals of blades of a wind turbine generator into voltage signals to be input into the signal processing and transmitting unit; the signal processing and transmittingunit extracts the signals, in a monitoring frequency band, of the voltage signals and wirelessly transmits the signals to the signal receiving terminals; and the signal receiving terminals wirelesslyreceives the signals transmitted by the signal processing and transmitting unit and conducts frequency domain converting on the signals, and accordingly monitoring information of the signals is obtained. The monitoring information in operation of the blades of the wind turbine generator can be obtained in real time, and accordingly the damage situation of the fan blades is diagnosed timely.

The invention discloses a state evaluation and fault early warning method for a train traction system. The method comprises the following steps: receiving train operation data sent by an evaluated traction system; associating traction system state information of different vehicles and different frames of the same train, and performing deviation analysis on the operation data according to a predetermined rule; performing state evaluation according to the result of the deviation analysis; feeding back the state evaluation result to the traction system; and displaying fault early warning information corresponding to the result through a display device if the state evaluation result belongs to a preset early warning state. The method can comprehensively, simply and conveniently evaluate the state of the train traction system and give an early warning prompt before a fault, thereby providing effective support for the safety guarantee and system maintenance of the train. The invention also discloses a state evaluation and fault early warning device and equipment of the train traction system and a computer readable storage medium, which have the above beneficial effects.

The invention discloses a method for detecting equipment failure. For the inherent advantage that the wireless sensor network nodes themselves are capable of information communication in a distributedwireless sensor network, the information between adjacent nodes is interacted, a set of distributed wireless sensors in a given area collect data, and the use of the neighbor equipment and the equipment is reasoned based on the data of perception nodes of neighbor nodes, thereby increasing the probability of detecting hidden failures, and greatly reducing the probability of major accidents. Whenthe wireless sensing nodes detect local abnormal data, the wireless abnormal data control center is used to trigger all the equipment self-checking commands. At the same time, in the normal detectionprocess of the wireless sensor network, even if not perceiving that the parameter abnormity control center randomly command and timely command all the sensing nodes to upload the data, the detection effectiveness and reliability of the wireless sensor network are improved.

The invention discloses an electric power infrared online temperature measurement method and system based on a 5G technology. The method comprises the following step: A, a certain number of network thermal infrared imagers capable of working independently are taken as a basis and connected with a cloud end through a 5G network, wherein image data monitored by infrared temperature measuring probesin the network thermal infrared imagers are transmitted to the cloud end in a standard PAL system. A switch cabinet infrared intelligent online temperature measurement system is adopted. A scientificbasis is provided for the key points of equipment maintenance while healthy operation of equipment is ensured, the working efficiency is improved, the occurrence rate of safety accidents is reduced, the availability of equipment is correspondingly increased, and technical guarantee is provided for the safety of power equipment and even the stability of the society. Meanwhile, the system has the advantages of quick installation, high long-time working reliability, a dual-waveband image fusion technology, a powerful platform management system, automatic generation of a temperature curve graph, automatic warning and manpower saving.

The invention belongs to the technical field of emergency power supplies, and particularly relates to an N+M redundant UPS system composed of distributed multiple subsystems. According to the technical scheme, on-line, active and automatic detection and maintenance of a battery is realized; coordination control is carried out through the priority sequence of automatically generating multiple subsystems; maintenance charging and discharging are carried out on the battery string of the UPS unit subsystems in turn; the status information of each battery in the battery string is monitored by a unit A subsystem battery centralized monitor; through parameters preset by a system controller according to a program or parameters and policies set by a display and control panel and a system remote communication interface, the energy and load running power parameters of each unit subsystem are monitored and analyzed and a battery status signal collected by each battery monitor is monitored and analyzed, and accordingly the control instruction of each subsystem is judged and generated; automatic monitoring and analysis, automatic maintaining, automatic charging and discharging power adjusting and automatic lagged battery location prompt are realized; healthy running of the battery string is ensured; the availability and security of the battery string are greatly improved; and the service lives of batteries are prolonged.

The invention discloses a data processing method, which comprises the following steps of generating access indication information according to resource information needing to be allocated by a data source and real-time resource conditions of processing nodes of a cluster; sending the access indication information to each processing node of the cluster; enabling each processing node of the clusterto access the data source according to the access indication information, performing parallel processing on the accessed data source according to a configured thread, and outputting a processing result, wherein each processing node of the cluster is configured with a thread used for processing data, and the threads independently process the data in parallel. The invention further discloses a dataprocessing device, equipment and system. The technical problem that the requirement for real-time processing of hundred million-level data every day cannot be met in the prior art is solved.

The invention discloses an intelligent optimization and monitoring device used for a direct-current charger and a direct-current charging system. According to a monitored battery charging request message BCL, needed power P0 of an electric car is calculated; a rounding function is adopted to round up to an integer, and the number N of charging sub modules currently required to be put into operation is obtained; a corresponding charging sub module input number message instruction is generated and sent to a charging controller; the current output efficiency eta is calculated; the N is adjusted,the current load rate lambda is calculated, when the current load rate lambda is within the preset range, the input number message instruction is generated, and is sent to the charging controller, andthe current output efficiency eta is calculated; N is continuously adjusted until when the N is adjusted up or down, lambda exceeds the preset range; and the maximum output efficiency eta max and theoptimal input number are output, and the optimal charging running state is executed. Optimization of the output efficiency of the direct-current charger can be achieved, and on the basis, the electric larceny analysis in the charging process can be achieved.

The invention discloses a method for real-time monitoring of surface precision of an active reflector of a FAST based on a digital twin technology. According to the method, the most advanced digital twin technology is adopted, an actual operation state of the active reflector of the FAST is mapped to a digital model in real time in order to form a digital twin of the active reflector of the FAST,and the surface precision of the reflector is monitored in real time through continuous finite element analysis of the digital twin. According to stored historical monitoring data, a distribution situation of surface errors and a development trend are analyzed, when to update a calibration database and a maintenance advice for preferentially updating the calibration database in which position aregiven, and the calibration database is subjected to condition-based maintenance and dynamic update. The method can help a telescope operator to timely formulate a maintenance scheme and update the calibration database in advance, so that the risk that the influence on normal scientific observation is caused by poor surface precision of the active reflector of the FAST due to insufficient precisionof the calibration database is avoided, and the healthy operation of the FAST is powerfully guaranteed.

The invention belongs to the technical field of wind power regulation and control, and specifically relates to a method for finely adjusting the active power of a wind turbine generator. The method has the beneficial effects that the active power is distributed into two links of coarse adjustment and fine adjustment so as to realize fine adjustment of active power, and the influence of the activepower of a wind power plant on residual error control is considered while the active power of the wind power plant is improved to adjust rapid response and control accuracy, a closed ring can be formed by the dispatching of the active power, the adjustment frequency and adjustment amplitude of the active power of the wind turbine generator are reduced effectively, the active power of the wind power plant can be regulated quickly and accurately, the service life of the wind turbine generator is prolonged, healthy operation of the wind turbine generator is guaranteed, and fine dispatching is realized, so that the quality of electric energy after the wind power plant is connected is further improved, and the stability of an electric power system is guaranteed effectively.

The invention discloses a big-data-AI-based dynamic threshold power battery charging voltage state judgment method. The method comprises the steps: extracting a charging data set and training a model;instantiating an RRCF model of a CoDisp value; obtaining a priori Codisp value of a charging vehicle; using the feature data as a priori Codisp value dp; calculating a CoDisp value dn of voltage stream data by using a stream data RRCF model; using a priori CoDisp value to calculate a corrected streaming data abnormal value judgment standard eta'n; taking a time window by taking s as the width; calculating a mean variance sigma wn of the CoDisp in the window, and dividing the distance between the current data CoDisp value dn and the mean value of the time window by the multiple eta n of the variance sigma wn; and comparing the eta n with the eta ', if the eta n is greater than the eta', determining that the voltage data is abnormal, otherwise, determining that the voltage data are normal.Therefore, the self-adaptive adjustment of the abnormal value judgment threshold is realized, so that the early warning accuracy is improved, and the occurrence of false alarms is reduced.

The invention discloses synthetic fire-resistant hydraulic oil and a preparation method thereof and belongs to the technical field of hydraulic oil. According to the technical scheme, the synthetic fire-resistant hydraulic oil is prepared from, by mass, 98.3-98.8% of saturated polyol ester base oil and 1.2-1.7% of additive. The preparation method comprises the following steps that 1, the additive is added into trihydroxymethylpropyl trioleate, full and even stirring is performed at normal temperature to enable the additive to be completely dissolved so as to obtain premixed oil; 2, pentaerythritol isooctadecanoate is added into the premixed oil, stirring is performed for 20-60 minutes, and filtration and packaging are performed. The synthetic fire-resistant hydraulic oil has the advantages that the anti-oxidation stability is good, the service life is long, and the using cost is reduced; the amount of the additive is small, and the hydraulic oil is biodegradable and is environmentally friendly; the hydraulic oil is good in non-inflammability and wide in application range; the hydraulic oil is simple to prepare and is easily produced industrially.

The invention belongs to the technical field of emergency power supplies, and particularly relates to an N+M redundant UPS system composed of centralized monitoring multiple subsystems. For a multi-unit module UPS system composed of at least two groups of UPS subsystems or N+N or N+B (B is an integer from 1 to N) redundant emergency power supply system, maintenance charging and discharging are carried out on the battery string of the unit subsystems in turn, at the same time the status information of each battery in the battery string is monitored by a battery monitor. Through parameters preset by a system controller according to a program or parameters and policies set by a display and control panel and a system remote communication interface, a battery status signal collected by the battery monitor is monitored and analyzed, and a control instruction is judged and generated. Automatic monitoring and analysis, automatic maintaining, automatic charging and discharging power adjusting and automatic lagged battery location prompt are realized. Healthy running of the battery string is ensured. The availability and security of the battery string are greatly improved. The service lives of batteries are prolonged. The security, reliability and timeliness of the UPS system are greatly improved.

The invention discloses a P2P bidirectional voice intercom communication heartbeat detection method and device. The method comprises the steps that a calling party logs in a P2P server, a heartbeat timer is started, and heartbeat packets are transmitted to the P2P server according to first preset frequency; after the P2P server receives the heartbeat packets of the calling party, updating time of the heartbeat packets of the calling party is refreshed; and when the P2P server detects the timeout situation of the heartbeat of the calling party, connection with the calling party is disconnected. According to the P2P bidirectional voice intercom communication heartbeat detection method and device, the P2P server cannot acquire heartbeat information of the calling party within the required time when the calling party is abnormally offline, which is considered that the calling party is offline, and then communication is immediately stopped and the state of the calling party is refreshed so that healthy operation of the system can be guaranteed.

The invention discloses a building equipment operation early warning and linkage control device and method. The device comprises a base layer, a data layer, a storage layer and an application layer. The base layer comprises a BIM model and a building intelligent system. The data layer comprises static data and dynamic data; the storage layer is used for storing data information extracted from thedata layer and providing a data basis for logic operation of the application layer; and the application layer is used for converting the static and dynamic data of the building equipment from the baselayer into a standard format of identifiable operation, performing data logic calculation and result presentation, and customizing linkage control conditions and feedback among the IOT equipment at the same time. The invention further comprises a building equipment operation early warning and linkage control method. By utilizing the method and the system, the operation and maintenance of the building equipment can be changed from reactive maintenance to predictive maintenance, and meanwhile, an intelligent building operation scheme can be customized, so that the operation management level ofthe building equipment and the intelligent building operation capability are improved.

The invention discloses an unattended system for a drilling pump. The unattended system comprises a signal acquisition system, a communication system, a local monitoring system, a local server and a remote monitoring system. The data of the signal acquisition system is sent to the local monitoring system and the remote monitoring system through the local server for communication, and the monitoring system monitors the operation state of the drilling pump in real time, pushes maintenance information, alarm information and fault diagnosis information and assists in checking the state of each part of the drilling pump. According to the system, unattended operation of the drilling pump can be achieved, the labor intensity is greatly reduced, professional knowledge of manufacturers on maintenance and fault diagnosis of the drilling pump is fully utilized, and it is guaranteed that the drilling pump operates in a healthy state all the time.

The invention discloses a GPRS network-based power cable temperature online monitoring system. The GPRS network-based power cable temperature online monitoring system comprises conductor elements, a temperature detection module, a GPRS wireless communication module, a cable surface temperature acquisition circuit, a current measurement circuit and a data monitoring server. The GPRS network-based power cable temperature online monitoring system is characterized in that a temperature detection part needs the cable surface temperature acquisition circuit and the cable working current measurement circuit, an acquired and converted voltage value is converted into a digital value through an AD converter, and the digital value is transmitted to a single chip microcomputer for temperature formula calculation, and an obtained temperature numerical value is transmitted to the GPRS wireless communication module through an RS-485 bus. The GPRS network-based power cable temperature online monitoring system gives an alarm and carries out a cut-off action when encountering an abnormal operation condition of a cable, and transmits the information to electric power dispatch personnel as a basis for their maintenance and dispatching. According to the GPRS network-based power cable temperature online monitoring system, the temperature monitoring of power cables is mainly to measure conductor temperature during the operation of the cables, and then transmit temperature numerical values to a monitoring center through the GPRS wireless communication module.