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

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 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 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 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 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 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 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.