72 results about "Forced outage" patented technology

Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior. The second design philosophy integrates ANNs with approximate reasoning using fuzzy logic and fuzzy sets. In the second design, ANNs are used for learning, while approximate reasoning and inference engines are used for decision making. Advantages include use of already monitored process variables, no additional hardware and / or maintenance requirements, systematic processing does not require an expert system and / or a skilled operator, and the systems are portable and can be easily tailored for use on a variety of different boilers.

Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior. The second design philosophy integrates ANNs with approximate reasoning using fuzzy logic and fuzzy sets. In the second design, ANNs are used for learning, while approximate reasoning and inference engines are used for decision making. Advantages include use of already monitored process variables, no additional hardware and / or maintenance requirements, systematic processing does not require an expert system and / or a skilled operator, and the systems are portable and can be easily tailored for use on a variety of different boilers.

The invention relates to an automobile starting and stopping protective system and method. The automobile starting and stopping protective system comprises a storage battery, an electric quantity sensor and an automobile body controller which is connected with a CAN bus. The electric quantity sensor is arranged at the output end of the storage battery, is used for detecting the discharge current of the storage battery and is connected with the communication end of the automobile body controller through a LIN bus. When an ignition lock ON gear switch is disconnected, the automobile body controller sends a network dormant message through the CAN bus, so that idle electronic equipment connected with the CAN bus enters the dormant state, and the automobile body controller enters the dormant state after the discharge current of the storage battery is smaller than a first threshold value. After the automobile body controller enters the dormant state, if the discharge current of the storage battery is larger than a second threshold value, constant electricity output by the storage battery is controlled to be disconnected in the set time, and a forced outage message and a failure warning message are sent through the CAN bus. Through the automobile starting and stopping protective system and method, the safety of an automobile can be improved, and the energy consumption of the automobile is reduced.

The invention discloses a centralized feeder automation control method for demarcation fault processing. The method includes the implementation steps of 1) master station system setting: monitoring fault alarm signals of a demarcation switch and a centralized section switch by a distribution automation master station in real time and entering a fault processing program; 2) fault area isolation: tripping a substation outgoing breaker and tripping and locking the demarcation switch to achieve fault user isolation, and sending the fault alarm signals to the distribution automation master station by the demarcation switch and the centralized section switch; and 3) non-fault area power restoration: sending a 'remote closing' order to the substation outgoing breaker by the distribution automation master station for non-fault line power restoration. The method is simple in implementation steps, user phase fault can be processed rapidly, compatibility of centralized feeder automation with the demarcation switch during user phase fault processing is achieved, forced outage range is prevented from enlarging, and safety of a power transmission line is improved.

The invention discloses a wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration. The wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration comprises integrating a system uncertainty risk analyzing method and a cost-benefit analyzing method under multi-scenario probability to establish a unit commitment model taking wind power overflow into consideration, by improving a multi-scenario probability-based risk analyzing method capable of simultaneously taking load, wind power predication uncertainty and unit forced outage into consideration, can take the wind power overflow into consideration when computing system load loss risks, and by calculating the target of routine unit generation cost and minimum expected outage cost through cost-benefit analysis, obtains optimized spinning reserve capacity. The wind power integrated power system spinning reserve optimizing method takes wind power overflow into consideration and accordingly can comprehensively take system operation economical benefits into consideration during determining of system spinning reserve to achieve low operation cost.

The invention relates to a power network transient-cause forced outage travelling wave signal detection method, belonging to the field of power system. The method is that an opening-typed special travelling wave sensor is arranged on a shell grounding wire of the transformer of a transformer substation and used for detecting the power network transient signal; the power network transient-cause forced outage travelling signal is judged according to the arising time and amplitude of the transient signal and the exact time and polarity used for the arrival of the travelling wave signal are recorded. The opening-typed special travelling wave sensor of the invention can detect the forced outage travelling wave signals of all wires at high voltage side, low voltage side and middle voltage side of the transformer of the transformer substation, thus having simple realization and facilitating generalization.

The invention discloses a scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method, which comprises the following steps of sampling to generate a wind power output scene and a load scene as an initial scene set according to wind power output prediction error probability distribution and load prediction error probability distribution; screening the initial scene set by adopting a synchronous back substitution reduction method to obtain a representative scene set; calculating a power loss index and a wind curtailment index of each scenein the representative scene set; calculating an up-regulation standby demand and a down-regulation standby demand; taking the up-regulation standby demand and the down-regulation standby demand as reliability constraints, and establishing a day-ahead unit combination model; and solving the day-ahead unit combination model to obtain a day-ahead unit start-stop plan, an output plan and standby configuration. According to the method, the wind power output scene and the load scene are constructed, the forced outage rate of the generator is considered, the unit output and standby decision dynamiccoordination scheduling model is established, and wind curtailment and power limitation caused by insufficient standby are avoided.

The invention discloses an overheating protection control circuit of a frequency-variable compressor, a frequency-variable compressor system and a refrigerator. The overheating protection control circuit of the frequency-variable compressor comprises a temperature protector, a protection signal detection circuit and a driving control module, wherein the temperature protector corresponds to the frequency-variable compressor; when the temperature of the frequency-variable compressor is greater than a first preset threshold value, the temperature protector is in an off state; the protection signal detection circuit is used for outputting a detection signal according to an on state or the off state of the temperature protector; and the driving control module is used for receiving the detection signal and controlling the frequency-variable compressor according to the detection signal. The overheating protection control circuit disclosed by the invention is simple in structure and high in reliability, can effectively realize overheating protection of the frequency-variable compressor and effectively avoid impact on devices such as a frequency-variable controller and the frequency-variable compressor due to forced outage, thus prolonging the service lives of the devices, and hardly causes electromagnetic interference.

The invention relates to a prediction technique for the equivalent forced outage rate of a thermal power generating unit, which is characterized in that a C-language is adopted to compile computing software used for the prediction of the equivalent forced outage rate of the thermal power generating unit; the computing software runs on a server for the computing of the reliability and availability of the thermal power generating unit; the computing software comprises the method as follows: basic data is input or called, an equivalent forced outage repair coefficient which takes out planned outage is computed; the undetermined parameters of a calculation model for the equivalent forced outage repair coefficient are determined; the equivalent forced outage rate without regard to the influence caused by planed repair is computed; a modified coefficient of the planed repair type is determined, and the equivalent forced outage rate is predicted; an evaluation basis value of the equivalent forced outage rate is determined, and the quantitative evaluation of the equivalent forced outage rate of the thermal power generating unit is determined. The prediction technique has the advantages that the equivalent forced outage rate of the thermal power generating unit can be quantitative-predicted, and the equivalent forced outage rate of the thermal power generating unit can be led to be under controlled condition.

The invention provides a wind power plant reliability modeling method with weather conditions taken into account. The method comprises the steps of initializing parameters, generating an hourly wind speed sequence of all wind power plants, calculating an hourly output power sequence during normal operation of all wind generation sets in each wind power plant, generating an hourly weather condition sequence of each wind power plant, generating an hourly operation state sequence of all the wind generation sets in each wind power plant, generating an hourly output power sequence of all the wind generation sets in each wind power plant, generating an hourly output power sequence of all the wind power plants, and establishing a multi-state model of all the wind power plants. Due to the fact that factors such as the correlation of the weather conditions of the multiple wind power plants, the influence of the weather conditions on the forced outage rate of the wind power plants and the related outage of the wind power plants under poor weather conditions are taken in account at the same time, the wind power plant model established through the method meets practical situations better.

The invention discloses a power grid fault modeling method under an extreme disaster condition. Based on a proportion risk model, the current external disaster environment, the adjacent element stateinfluence and other factors are considered; modeling analysis is carried out on the forced outage process of the power grid; a power grid fault model is constructed, random sampling of a fault sampleis completed, a dynamic disaster anticipated accident set is established according to a system operation state, disaster characteristics and a power grid equipment health state evaluation result, anda basis is provided for a power grid company to evaluate power supply safety and formulate a scheduling strategy according to actual disaster conditions.

The invention provides a method, a device and a terminal for prevention of burglary of a mobile terminal, and relates to the field of mobile terminals. A non-detachable battery is arranged in the mobile terminal. The method for prevention of burglary of the mobile terminal comprises the following steps of detecting whether alarm trigger conditions for triggering a burglar alarm are met at a mobile terminal side; if the alarm trigger conditions are met, controlling failure of a press type button of the mobile terminal; and obtaining an alarm signal and a preset volume value of the alarm signal, and outputting the alarm signal at the preset volume value through a speaker of the mobile terminal. When anti-theft software of the mobile terminal finds that a mobile phone is stolen, namely the alarm trigger conditions are met, failure of the press type button of the mobile terminal is controlled to prevent a burglar from forced outage to cause an owner to be unable to discover the burglar, meanwhile, the alarm signal is sent to force the burglar to throw the mobile phone away, and the alarm signal can be used for reminding a user to find the stolen mobile phone quickly.

A method of determining availability and reliability of facility equipment. The method includes monitoring an operational status of a piece of equipment of a facility. The method also includes outputting a visual display illustrating the operational status of the equipment, wherein the operational status is categorized into a plurality of categories, at least one of the plurality of categories requiring an operator to classify an interruption of function of the equipment as one of a planned outage, a forced outage, and a standby mode. The method further includes calculating a reliability percentage of the equipment based on a total amount of time classified as the forced outage. The method yet further includes calculating an availability percentage of the equipment based on a total amount of time classified as the forced outage and the planned outage.

The invention relates to a fast wind power capacity reliability calculating method based on a reliability function. The fast wind power capacity reliability calculating method comprises the following steps: 1) acquiring capacity and forced outage rate of each generator unit in an electrical power system; 2) calculating a unit outage capacity table in the electrical power system; 3) calculating the reliability function of the system; 4) acquiring a hour-class load curve in an assessment target year, a total installed capacity of a wind farm in the electrical power system, and a hour-class wind power output curve in the assessment target year; 5) setting an initial value of wind power capacity reliability; 6) calculating a weighting factor for each hour; 7) calculating wind power capacity reliability in current iteration; 8) according to a wind power capacity reliability result obtained in the current iteration and a capacity reliability result in last iteration, judging whether the iteration is convergent, if so, determining that the current iteration is the wind power capacity reliability result, otherwise, returning to the step 6). The fast wind power capacity reliability calculating method is relatively small in calculation error; by the fast wind power capacity reliability calculating method, the wind power capacity reliability can be accurately calculated in various electrical power systems and under various wind power conditions.

The invention relates to the technical field of automobile electronics, in particular to a charging gun assembly and a charging method. The charging gun assembly comprises: a power plug, a vehicle plug and a charging cable used for connecting the power plug and the vehicle plug; a temperature measuring part arranged in the power plug and / or the vehicle plug; a control unit arranged between the power plug and the vehicle plug and connected with the power plug and the vehicle plug through the charging cable; the temperature measuring part is connected with the control unit, and a controllable switch is arranged in the control unit. The power plug is detected by the temperature measuring part, and / or the temperature of the vehicle plug changes, so the current change can be safely and reliablydetected; temperature rise caused by large current generated by current fluctuation of a mains supply network is found in time, the control unit is used for monitoring temperature and stabilizing current output, so safety and stability of vehicle body charging are guaranteed, loss of the charging gun assembly due to forced outage is reduced, and the safety problem of the vehicle body and a humanbody is avoided.

The invention relates to an air-conditioner control system. The air-conditioner control system comprises a centralized controller and a decentralized controller installed nearby an air-conditioner; the centralized controller comprises a first communication unit and an adjustment and control unit; the decentralized controller comprises a second communication unit, a signal transmitter, a remote-control unit monitoring unit and an output relay; the first communication unit transmits signals set by the adjustment and control unit to the second communication unit of the decentralized controller in a power line carrier mode, the second communication unit is used for receiving the signals of the first communication unit and transmitting the signals to the signal transmitter, the signal transmitter is used for controlling the air-conditioner by transmitting infrared signals, the remote-control unit monitoring unit is used for monitoring remote control signals transmitted by a user to the air-conditioner, and the output relay is used for conducting forced outage on the air-conditioner so as to prevent the user from operating the air-conditioner illegally. The control system conducts centralized management and control on the split air-conditioner through the centralized controller and the decentralized controller; meanwhile, forced outage is carried out when the user uses the air-conditioner illegally, and energy waste is avoided.

The invention discloses a power generation system reliability rapid assessment method based on state clustering and belongs to the technical field of power system reliability assessment. Reliability assessment of a power generation system is carried out mainly through non-sequential Monte Carlo sampling and state clustering methods. Through the non-sequential Monte Carlo sampling method for sampling operation (failure) states of conventional power units of the system, and with the forced outage rate of the generator units being taken into consideration, the method not only replaces a conventional method for adding spare capacity to the system to ensure system reliability, but also establishes a system available generating capacity probability model with operation randomness and uncertainty of all units in the system being taken into full consideration; and by carrying out clustering on available generating capacity samples obtained through sampling to obtain a typical available generating capacity scene, workload of reliability calculation is reduced, reliability evaluation speed is allowed to be improved greatly, and the purpose of rapidly evaluating the reliability of the large-scale power system is achieved.

The invention provides a wireless remote control switch applied to self-service terminal equipment, and belongs to the field of electrical design. A core component of the wireless remote control switch is a complete machine switch module; the complete machine switch module comprises an alternating current input socket, an alternating current output socket, a relay and a control circuit board. An operator wirelessly controls the self-service terminal equipment to be switched on / switched off. The design scheme realizes remote secure control and simple operation, and prevents damage to all modules due to forced outage.

The present invention discloses a method for evaluating a photovoltaic capacity credit based on a load day and night peak difference constraint, and belongs to the technical field of operation of a power system comprising a photovoltaic power station. The method mainly comprises the following steps of: firstly, based on a scene cutting technology of the Kantorovich Distance, screening out a typical daily output scene capable of showing the annual output characteristic of the photovoltaic power station, and simplifying calculation on reliability of the power system comprising the photovoltaic power station; secondly, calculating a reliability level of the original system according to a forced outage rate, and at the equal reliability level, calculating effective load capacity of the photovoltaic power station by adopting a chord cutting method; and finally, correcting the effective load capacity of the photovoltaic power station according to the load day and night peak difference constraint, and calculating the capacity credit. According to the present invention, the method is simple in implementation and is high in calculating speed, and the photovoltaic power generation credit capacity can be comprehensively and accurately evaluated.

The invention discloses a power failure monitoring and management method. The method comprises steps: a) information is inputted; b) if power failure happens, the power failure message is sent to all subscribers, a zone area responsible person, a power supply station responsible person, a related repair person and a monitoring center; c) power supply repair is carried out, and a power failure reason is reported to the monitoring center; d) a power transmission message is sent; e) whether the power failure times exceed a power failure time tolerance threshold is judged; f) whether a power failure time duration cumulative sum exceeds the power failure time duration tolerance threshold is judged; g) whether the power failure times caused by a single subscriber exceed Ssub / 2 is judged; and h) subscriber investigation is forced to be carried out. According to the power failure monitoring and management method of the invention, through judging whether the power failure times exceed the power failure time tolerance threshold and judging whether the power failure time duration cumulative sum exceeds the power failure time duration tolerance threshold, whether to carry out forced power failure on the subscriber is judged, automatic monitoring on a subscriber with frequent failure can be realized, and the power supply quality is ensured.

The invention relates to a micro-grid day-ahead optimal scheduling method considering risks. The method comprises the following steps: step 1, uncertainty modeling: establishing an uncertainty model of distributed power supply forced outage and wind power output power based on scene analysis, then selecting a synchronous back substitution elimination technology to carry out scene reduction, and carrying out clustering combination or elimination on a part of scenes with relatively low occurrence probability; step 2, optimization scheduling modeling; and step 3, carrying out simulation tests, setting beta values to be 0.1-0.9, and carrying out the simulation tests respectively to obtain a comparison table of system operation costs, risk values and total operation costs of different beta values, thereby obtaining the beta value with the minimum total operation cost. The invention relates to a micro-grid day-ahead optimization scheduling method of a microgrid considering risks, and provides a micro-grid day-ahead random optimization scheduling model considering risks, which is used for flexibly scheduling various energy sources in the microgrid. Meanwhile, the risk level coefficient isused for controlling the operation risk value of the microgrid day-ahead scheduling strategy. The validity of the proposed model is verified in a microgrid simulation system.

The invention discloses a stray inductance detection device of a laminated busbar. The structure of the device comprises a detection device body, a wiring test interface, a rubber backing ring, a pulse generation bottom box, an adapter frame, a pulse line protection rod, a laminated busbar mounting frame, an anti-electric shock lifting plate and an automatic power-off protection device capable ofigniting and extinguishing arc. The front surface of the detection device body is provided with the wiring test interface and is connected with the wiring test interface in an embedded manner, the upper surface of the rubber backing ring is connected with the lower surface of the detection device body in an attached manner, the pulse generation bottom box is installed on the lower surface of the rubber backing ring, and the adapter frame is arranged on the right surface of the detection device body in a welded manner. Sulfur hexafluoride gas blows to transversely blow and cool an electric arcfor arc extinguishing, the fault that the electric arc on the inner side of the device burns out a wire is avoided, meanwhile, due to insufficient arc extinguishing strength, the device is stopped byguiding forced outage, and fire disasters caused by electric sparks generated on the inner side of the device are prevented.

The invention discloses a method for quickly diagnosing abnormal DC voltage measurement of a converter station. The method comprises the following steps of S1: in a bipolar full-voltage operating modeof a DC system, collecting DC voltages UdH, UdM and UdN, DC current Id, high-end valve group inverter primary AC power Pacv1 and low-end valve group inverter primary AC power Pacv12, and calculatingthe pole DC power Pdc and the sum of two valve group inverter primary AC powers Pac of pole; S2: when the absolute value of UdN is greater than 0.5kV, determining that the UdN measurement is abnormal;when the absolute value of UdN is less than or equal to 0.5kV and the AC / DC power deviation, that is, the absolute value of Pdc-Pac is greater than 12MW, determining that the UdH measurement is abnormal; and when the absolute value of UdN is less than or equal to 0.5kV and the AC / DC power deviation, that is, the absolute value of Pdc-Pac is less than or equal to 12MW, determining that the UdM measurement is abnormal. The invention can detect abnormal faults in DC voltage measurement and determine specific fault measurement points in advance before an alarm is issued by the control and protection system, and can judge faults with abnormally large or small DC voltage measurements, effectively avoids the occurrence of forced DC shutdown events, and ensures the safe and stable operation of the DC transmission system.

The invention provides a thermal power generating unit reliability design monitoring device. The device is characterized by comprising a thermal power generating unit reliability compute server, a database server, a web server and user side browsers, the compute server is connected with the database server and the web server, and the web server is connected with the user side browsers. In another technical scheme, the invention provides a thermal power generating unit reliability design monitoring method adopting the thermal power generating unit reliability design monitoring device. By the thermal power generating unit reliability design monitoring device and the thermal power generating unit reliability design monitoring method, quantitative forecasting and design monitoring of power generating unit reliability area achieved. If equivalent forced outage rate of a thermal power generating unit cannot reach an excellent value, reliability of the thermal power generating unit is improved and optimized by means of improving material design of a high-temperature steam pipeline of the thermal power generating unit, adopting redundancy design for important auxiliary equipment and a system or adopting mature products, and accordingly technical effect of improving the reliability of the thermal power generating unit is achieved by the aid of reliability design monitoring.

The invention discloses a chemical mechanical system using an electromagnetically driven reactor. A first reactor is electromagnetically driven. A vertical agitator comprises a magnetic driver, a vertical agitating shaft and a vertical agitating paddle, the vertical agitating paddle is disposed on the vertical agitating shaft, the magnetic driver is connected to the vertical agitating shaft and drives the vertical agitating shaft to rotate, and the first reactor is provided with a pressure gauge connector, a thermocouple and a burst valve so that forced outage and pressure relief are realizedunder conditions of too high temperature and too high pressure and production process safety is guaranteed.

The invention discloses a power system maintenance and operation collaborative decision-making method oriented to toughness improvement, and the method comprises the following steps: 1), carrying out the initialization, confirming the information of network parameters, maintenance demands, weather conditions and the like, and calculating the initial result of a maintenance plan and unit combination; 2) carrying out scene generation: generating a random scene by using a recursive sampling method according to an equipment forced outage rate model and a covariable state; and 3), carrying out dynamic scene updating circulation: a, in the latest scene, using a Lagrange relaxation technology to carry out iterative solution on collaborative optimization of a maintenance plan and a unit combination, namely, innermost layer circulation; b, due to the fact that the OR of the generator is related to the on-off state of the unit, according to the latest collaborative optimization result, using a recursive sampling method for updating the random scene of the generator; and carrying out iterative circulation between the step a and the step b until the maintenance plan, the unit combination and the dynamic scene are not changed any more. The method has the advantages of comprehensive covariable consideration and reasonable steps.

The invention provides a method and a system for calculating the reliability of a power system containing a wind power plant. The method comprises the steps of predicting a load curve of the power system, determining a scheduling period of the power system, performing production simulation and determining a thermal power generating unit startup mode; predicting wind speed information in the wind power plant, determining wind power, and calculating a net value of a load machine and a wind curtailment rate according to the determined starting mode of the thermal power generating unit; establishing a wind power prediction value load machine net value wind curtailment rate curve according to the production simulation, the thermal power generating unit starting mode, the load machine net valueand the wind power; and according to the statistical result and the forced outage rate of the thermal power generating unit, performing sequential convolution according to the forced outage rate of the thermal power generating unit and the wind power prediction value load machine net value wind curtailment rate curve, establishing an equivalent wind power prediction value load machine net value wind curtailment rate curve, and obtaining the system reliability through calculation. The calculation process is simple, and the calculation result is accurate.

A household distribution box comprises a distribution box case; two service lines introduced from a transformer into the distribution box case of a consumer; three main lines installed in the distribution box case and provided with two lines and a second service line; two sub-lines installed in the distribution box case and formed by branching the second service line among the main lines into two lines; a first circuit breaker installed in the distribution box case; a second circuit breaker installed in the distribution box case; and a controller connected to the first circuit breaker.

The invention relates to a design method for high reliability of a turbonator and an evaluation method thereof, and the invention is characterized by comprising the following concrete steps: (1) determining a design colligation coefficient Ak; (2) determining the operation reliability AO1 of the turbonator body; (3) determining the operation reliability AO2 of a turbonator excitation system; (4) determining the operation reliability AO3 of a turbonator oil system; (5) determining the operation reliability AO4 of a turbonator cooling system; (6) determining the operation reliability AO5 of a turbonator monitoring and protecting system; (7) determining a correction factor ki of a planned correction type of the turbonator; (8) calculating forced outage rate (FOR) of the turbonator; (9) evaluating the result; and (10) improving the design. The invention has the advantages of realizing reliable designing and improvement of the turbonator, and achieving the technical effect of lowering the FOR to improve the reliability.

The invention provides a high-availability design monitoring method for a nuclear power unit. Another technical scheme of the invention is to provide a nuclear power unit availability design monitoring device. The high-availability design monitoring method for the nuclear power unit has the following advantages: quantitative prediction and design monitoring of the operation availability and the equivalent forced outage rate of the nuclear power unit in the design stage are achieved; if the operation availability or the equivalent forced outage rate of the nuclear power unit cannot reach an excellent value, the improvement design of materials, structures and subsystems is carried out on the first three parts with relatively long forced shutdown hours of the nuclear power unit host and the subsystems, and mature products are adopted, so that the improvement of the availability of the nuclear power unit is realized, and the technical effect of improving the availability of the nuclear power unit through design monitoring is achieved.