73 results about "Plant safety" patented technology

The invention belongs to the field of power plant safety control systems, and particularly relates to an ultra supercritical unit high temperature superheater wall temperature prediction method basedon a neural network. The ultra supercritical unit high temperature superheater wall temperature prediction method based on the neural network is characterized by comprising the following steps of (1)building a temperature measuring system; (2) utilizing a back propagation algorithm for predicting, building a neural network structure, preprocessing data, building a training model, and obtaining aprediction model; (3) after standardizing a validation set, bringing into the trained prediction model, carrying out model measurement on the data, finally obtaining a prediction value of the validation set, comparing the prediction value of the validation set with an actual value of the validation set, and obtaining a residual error; and (4) utilizing guiding fault early warning. A hearth inner wall temperature prediction model is built by adopting a BP neural network, the potential faults of the equipment are further identified, and the state prediction of unconventional monitoring equipmentsuch as a high-temperature superheater is realized.

An instruction converting unit converts the data form of an instruction of an operation received by a receiving unit to the data form of a safety instrumentation system from the data form of a plant control system. An operation carrying out unit receives the instruction of the operation obtained by the instruction converting unit and an original instruction of the safety instrumentation system to carry out the operations, and preferentially carries out the operation of the original instruction of the safety instrumentation system when both the instructions compete with each other.

The invention belongs to the field of power plant safety control system, and particularly relates to a early warning method and a device for NOx exceeding standard of a gas turbine based on LSTM deeplearning. This patent lies in applying the LSTM prediction model to the NOx prediction of the gas turbine, as the NOx emissions need to be affected by a variety of factors, mainly factors such as flue gas temperature, differences in fuel gas, and oxygen content, therefore, it usually takes a while for these factors through a series of reactions to pass through related equipment and finally lead to NOx emissions. Through real-time model calculation, if it is found that the NOx content value reaches 50ppm, pollution prediction can be issued in advance, and emission reduction measures can be formulated in advance, so as to achieve intelligent monitoring of NOx emissions and early warning in advance. The LSTM method is used to process the raw data to adaptively find out the characteristic parameters associated with NOx emissions and avoid omissions or errors caused by manual selection of features by traditional machine learning methods. The invention has a large amount of collected data,small analysis errors, and high accuracy of early warning results.

The invention belongs to the field of power plant safety control systems, and particularly relates to an operation guidance system based on a typical and accident case base of a thermal power plant. The operation guidance system comprises a data collection system (DCS) and is characteriazed in that a memory internally saves a mentoring function module, and stores an accident case base and typicaloperations; a processor encodes and classifies fault messages of different components of the thermal power plant; based on an expert industry knowledge base and analysis on historical fault data, normal threshold ranges of operating indicators of a thermal power unit are defined, a change rule in an operating process of the indicators is mined, data sample sets in different states are constructed,and a fault trigger model is established using a machine learning algorithm. When triggering conditions are reached, a display visually shows the location of a fault and a data distribution rule, andinformation about the cause of the fault and treatment suggestions is displayed on the display; fault early warning is accurate and the operation guidance is accurate and in place.

Embodiments are directed to configuring, providing, and managing notifications to one or more operators or personnel of a power plant. The power plant may be a modular power plant that includes one or more power-generation module (PGM) assemblies. In some embodiments, the PGM assemblies may include a nuclear reactor that has a reactor core that generates at least one of heat, pressure, or radioactivity. The PGM assembly may be included in a PGM assembly array included in a modular power plant, such as a modular nuclear power plant. The notifications are in regards to the real-time, or near real-time, status or condition of the operation of the power plant. The notifications aid the operators and/or plant personnel in understanding the current status of the plant operation and promote plant safety, while minimizing information duplication, noise, confusion, and information overload for the operators. The notifications may be prioritized.

The invention relates to the field of electric power industry information, and discloses a power plant safety management system and method based on two-dimensional code and an electronic key. The system comprises a plurality of two-dimensional code labels, an electronic key, a mobile terminal and a back-end server. Each two-dimensional code label is arranged on one power plant device, and includes corresponding identification information for the power plant device; the electronic key contains unlock information matching with the identification information in each of the two-dimensional code labels, and unlocks the power plant device when the unlock information matches the identification information; the mobile terminal is used to scan the two-dimensional code labels to obtain identification information and send the identification information to the electronic key for the matching of unlock information and the identification information; and the back-end server is used for sending the operation information corresponding to the power plant device to the mobile terminal during the matching of the unlock information and the identification information. The invention employs systematic, comprehensive mobile and integrated danger isolation mode to increase the security of the operation personnel in the power plant.

A process control system coordinates with an associated asset management system to implement a plant safety mechanism and, in particular, to prevent unintended changes to, or otherwise undesired operation of, one or more process control equipment resources in a process plant. A maintenance technician uses the asset management system to request access to one or more of the process control equipment resources. A process operator receives the request via the process control system and grants or denies the request. Process control equipment resources for which a process operator grants a request are inoperable, in part or in whole, by the process control system. Upon completion of the maintenance task, the maintenance technician requests to return control of the process control equipment resource to the process operator. The return is complete when the process operator acknowledges the return of the resource to the process control system.

A method for assuring safety of a particular chemical process plant includes measuring, for each of a plurality of sets of proposed process conditions for a particular chemical process within the particular chemical process plant, a pressure rise rate following a deliberate contained ignition of at least one material used within the particular chemical process. From the resulting plurality of pressure rise rates that corresponds with the plurality of sets of proposed process conditions a particular pressure rise rate that allows for a safe operation of the particular chemical reaction within the particular chemical process plant may be selected. The particular chemical process may be implemented within the particular chemical process plant while using a particular set of process conditions from the plurality of sets of process conditions that corresponds with the selected pressure rise rate. As an adjunct, the particular chemical reaction may also be subsequently and additionally optimized with respect to an ancillary parameter, such as product yield or feedstock utilization.

The invention relates to the technical field of chemical accident emergency management and control, in particular to a chemical plant independent safety supervision system, which comprises a data acquisition unit for reading and storing chemical plant real-time monitoring data by a DCS of a chemical plant; a plan table editing unit used for editing and storing a plurality of plan tables; a serverused for analyzing the monitoring data of the chemical plant in real time, judging whether a safety accident occurs or not, calling out a matched plan table if the safety accident occurs, and connecting the plan table with the data acquisition unit and the plan table editing unit; and a display unit used for displaying a plan table corresponding to the safety accident, assisting in accident disposal and being connected with the server. The system has the substantial effects that the system can be widely applied to the field of safety management of petroleum, petrochemical engineering, chemicalenterprise devices and warehouse hazard sources; the system is independent of a DCS system of the chemical plant, the transformation and upgrading cost is low, and the safety monitoring level of thechemical plant can be effectively promoted.

The invention discloses an intelligent air pollution monitoring device and system. The intelligent air pollution monitoring device comprises a monitoring part and a bottom adjusting part, wherein themonitoring part comprises a cylindrical shell, an upper cover, an upright rod, an indicator lamp, an installation plate, an elastic assembly, a controller, a PM2.5 sensor, a PM10 sensor, a carbon dioxide sensor, a carbonic oxide sensor, a formaldehyde sensor, a temperature sensor, a humidity sensor, a TVOC sensor and an oxygen sensor; the bottom adjusting part comprises a cylindrical hollow base,a bottom cover, a motor, three threaded rods, three outer sleeves, a connecting rod, a driving gear, three driven gears, three fixing lugs and three bolts. The intelligent air pollution monitoring device is reasonable in design, long in service life, convenient to use and assemble, comprehensive in detection function and high in detection sensitivity, the device is designed for a chemical plant, the current market vacancy is filled in, safe production of the chemical plant can be effectively ensured, and the device is suitable for being used in chemical plant workshops of different heights.

The invention relates to an extension theory-based hydraulic power plant security evaluating method and belongs to the field of application hydraulic power plant safety evaluating technologies. According to the method, a comprehensive index system for hydraulic power plant security evaluation is built and mainly comprises four criterion layers of production equipment, power plant buildings, metalstructures and safety measures and management; an extenics matter element model for hydraulic power plant safety evaluation is built; security performance of a hydraulic power plant is classified intofour grades of excellent, good, alert and severe so as to build classical domain and joint field model models for an evaluation system, a analytical hierarchy method is adopted for determining weightcoefficients of all factors, a weighted summation mode is adopted, degrees of relevance between a material element to be evaluated to different grades are calculated, and a grade to which the safetyperformance of the hydraulic power plant belongs can be determined according to a maximum value of the relevance; via the method disclosed in the invention, the safety performance of the hydraulic power plant can be evaluated in a scientific and objective way, basis can be provided for reasonable arrangement of overhauls for the hydraulic power plant, and reliable operation of the hydraulic powerplant can be ensured.

The invention relates to a quantitative evaluation statistic method for safety assessment on scheduling operation work of a power plant, and provides a multiple-computation-based safety assessment quantitative evaluation statistic method for power plant safety assessment on the basis of analysis of existing problems of safety assessment and examination statistic methods for scheduling operation work of the power plant. According to the method, by developing a multiple-examination method and multiple-examination steps, quantizing examination factors, establishing a reasonable computation mode and working out a power plant behavior self-assessment score in the process of self-assessment on scheduling operation work of the power plant, effective data are provided for comparability of power plant self-assessment, the probability that power plant self-assessment personnel falsify data and conceal facts is decreased, and the correctness and reliability of power plant self-assessment results are improved. Meanwhile, the current safety status of the power plant is assessed more accurately, a power supply enterprise is prompted to find out existing potential safety hazards and put forward anti-accident measures to perform targeted prevention and control and reformation, and therefore the method plays an important role in guaranteeing safe production of the power supply enterprise.

The invention provides a dust removing system. The dust removing system comprises a fixing plate and a plurality of dust suction assemblies arranged on the fixing plate. A plurality of sound absorbing assemblies are arranged on the dust suction assemblies. The dust suction assemblies absorb dust in various spaces of a plant. The production noise in the plant is lowered through the sound absorbing assemblies. By means of the dust removing system, absorption of the dust in various spaces of the plant can be achieved, the production noise in the plant can be effectively lowered, and cleanliness and safety of the production environment of the plant are guaranteed.

The invention discloses a medicinal fertilizer containing avermectin B2, and relates to a fertilizer for controlling underground nematodes and underground pests, and the fertilizer comprises the following components by weight: 0.1% to 10% of avermectin B2, 1% to 15% of a solvent, 1% to 15% of a surfactant, 0.2% to 5% of an antioxidant and balance of a base material. The fertilizer has the functions of improving soil, providing plant nutrients, promoting crop growth, and improving the quality of agricultural products, also can control a variety of plant root-knot nematodes, is remarkable in treatment effect, and has high plant safety, and plants are in low tendency to produce drug resistance. The main active ingredient of the fertilizer is the biological pesticide avermectin B2, has no pollution to the environment and does not cause phytotoxicity. The fertilizer has the advantages of abundant raw materials, low production cost and simple process.

The invention provides a remote monitoring system for liquid ammonia tank, which has a strong anti-interference capability, practicability and reliability. With the system, processing ability to handle accidents can be increased; manual labor can be saved; and safe and high efficient running of a factory can be ensured. The invention comprises a host computer, a PLC, a pressure sensor, a liquid level sensor, a liquid ammonia concentration sensor, a sound-and-light alarm, an exhaust fan, a solenoid valve and a power supply. The host machine adopts Kingview software to control the liquid ammonia tank remote monitoring picture, the alarm picture, the data reports, and the trend curve graph, and the text message configuring picture. The host machine is provided with a double serial port card. The double serial port card is connected with a text message module; the PLC is connected with the double serial port card of the host machine; the PLC is connected with a smart isolation transmitter. The signal input end of the PLC is connected respectively with the sound-and-light alarm, the exhaust fan, the solenoid valve and the power supply. The signal input end of the smart isolation transmitter is connected respectively with the pressure sensor, the liquid level sensor and the liquid ammonia concentration sensor.

The invention discloses a low-altitude safety radar early warming defensive system in the field of radar early warning. The system comprises an anti-explosion power supply unit, a radar early warmingunit and a radio-frequency interference unit; the anti-explosion power supply unit comprises a photovoltaic panel connected on an anti-explosion accumulator, and is used for supplying power to a radarearly warming system and a radio-frequency interference system; the radar early warming system comprises a radar circuit board, the radar circuit board comprises a radar end FPGA, a radar transmittersignal conditioning circuit and a radar receiver signal conditioning circuit; the radio-frequency interference unit comprises a radio-frequency end FPGA, a 2.4 GHz radio-frequency interference unit and a 5.8 GHz radio-frequency interference unit; the radio-frequency interference unit is connected with the radar circuit board through a UART serial port for communication; the problem of the potential safety hazard caused by an unmanned aerial vehicle on a chemical production area in the prior art is solved, the safety of working in the chemical production area is improved, and the low-altitudesafety radar early warming defensive system can be used in the chemical plant security defense.

The invention relates to the technical field of power plant safety monitoring, and discloses an intelligent power plant safety monitoring system, which comprises a working environment monitoring module, and the output end of the working environment monitoring module is in signal connection with a data receiving module through a data line. The other input ends of the data receiving module are in signal connection with a worker safety equipment wearing monitoring module, an environment noise monitoring module, an environment dust monitoring module and a data collecting and forwarding module through data lines. The intelligent power plant safety monitoring system not only has the function of monitoring the body health of workers and the working environment, but also has the function of recording and monitoring the operation steps of the workers, so that the monitoring range and effect of the intelligent power plant safety monitoring system are improved, and the working safety of the workers in the power plant is improved; and the situation of harming the body health of workers can be avoided, and the operation safety of the power plant can be improved.

The invention relates to the wind power plant safety technical field, and specifically relates to a Chopper protection-based dual-fed wind turbine short circuit current calculation method comprising the following steps: S1, using a memory loop to measure a stator voltage before and after the fault and a stator current initial value before the fault; S2, setting an iteration number K=0; S3, iterating to obtain a stator magnetic link general form, which includes steps of calculating a stator magnetic link steady state component, calculating a stator magnetic link transient state component attenuation and rotation frequency and calculating a stator magnetic link transient state component amplitude; S4, calculating a stator short circuit current; S5, calculating a rotor short circuit current;S6, calculating a rotor loop equivalent variable resistance; S7, determining whether the iteration has converged or not, entering the next step if yes, and enabling K=K+1 and returning to S3 if not; S8, calculating post-reduction three-phase stator current. The method can evaluate contributions of the wind turbine on the system short circuit current under different fault types, can improve the calculation precision, can avoid simulation computing complexity, and thus providing support for field protection setting calculation.

The invention relates to the technical field of the chemical plant safety association, and specifically relates to a chemical plant point-divided and graded plan intelligent control system. The systemcomprises a data processing unit, a memorizer, a data acquisition unit, a data entering unit and a monitor; the data acquisition unit reads monitoring data of the chemical plant from a DCS of the chemical plant, the memorizer memorizes the chemical plant GIS data and a plurality of plan tables, wherein each plan table comprises plan object information, a trigger condition, a level, an upgrading condition, graded plan content and a lifting condition; the trigger condition is the condition for triggering the plan, the upgrade condition is the condition for upgrading the plan, and the lifting condition is the condition for lifting the plan. The materiality effect of the system is as follows: the serious condition of the accident is indicated through the level, the plan tables and the plan content can be automatically displayed, the situation development can be tracked through associated variable, and the development of the accident in a certain time in future can be estimated by delayingthe associated variable, thereby providing evidence for the accident disposal.