4703 results about "Air temperature" patented technology

The invention discloses a traceable road surface runoff pollutant monitoring method and system, and relates to the technical field of water pollution monitoring. The method comprises the following steps: capturing environmental factors of precipitation, air temperature and traffic flow according to road surface basic monitoring data, extracting pollutant concentration data of sampling points, analyzing relevance of the environmental factors, identifying and classifying pollutant concentrations, and obtaining pollutant concentration change trend characteristics. According to the method, the relationship between the environmental factors and the pollutants is accurately analyzed by capturing the environmental factors and the pollutant concentration data, the understanding of the change trend of the pollutant concentration is improved, the pre-judgment precision of future changes is effectively improved, in real-time data comparison, error analysis helps to identify deviations and adjust model weights, the prediction accuracy is improved, and the prediction accuracy is improved. Through monitoring resource demand prediction, optimization of monitoring point layout and resource configuration and dynamic adjustment of a monitoring strategy, pollutant concentration monitoring is more flexible and accurate, and monitoring efficiency and response speed are improved.

The invention relates to the field of grain drying, and discloses a grain drying energy-saving control system based on intelligent optimization, which comprises the following steps: after warehousing grains are detected, judging whether the water content of the grains exceeds a preset safety threshold value or not by collecting the initial water content of the grains and environment temperature and humidity information; according to the grain moisture content, the grain size distribution and the current environment condition, a multi-section type moisture change trend model fitting the drying process is constructed, and the decrease rate of the grain moisture content and the drying curve form in the future stage are predicted; analyzing the deviation value between the water content change slope and the target drying rate in the prediction curve; judging whether an adjustment potential exists or not by modeling a response relationship among the current hot air temperature, wind speed, heat source power and water content change; and according to the heat energy use analysis result, control instructions of hot air temperature, air speed and air supply modes are automatically generated. The self-adaptive energy-saving grain dryer has the advantage that the self-adaptive capacity and the energy-saving effect in the grain drying process are improved.

The invention discloses a water quality comprehensive regulation and control intelligent model based on water quality hydrodynamic force, and relates to the technical field of water quality comprehensive regulation and control, which comprises the following steps: constructing a comprehensive meteorological monitoring network, capturing key meteorological parameters of air temperature, rainfall, humidity and wind speed in real time, and formulating water area monitoring paths of an unmanned aerial vehicle and an unmanned ship according to detected environment data; the method comprises the following steps: setting an unmanned aerial vehicle monitoring team to monitor the water surface condition in real time, setting an unmanned ship formation to run according to a formulated route, carrying out key monitoring and sampling on a specific polluted area, constructing a water quality standard-reaching early warning system, and carrying out prediction and early warning simulation calculation and correction, and analyzing and evaluating the water quality condition. According to the water quality comprehensive regulation and control intelligent model based on the water quality hydrodynamic force, water area pollution can be quickly found, pollutants can be traced and researched in time, pollution expansion is prevented, meanwhile, pollution early warning can be conducted according to data, potential environmental risks can be found, and powerful technical support is provided for environmental protection work.

The invention relates to the technical field of intelligent regulation and control, in particular to a method for predicting and adjusting the moisture content of raw materials for shaving board production. According to the method, the raw material drying section disturbance parameter set and the moisture content detection sequence record in the shaving board production process are obtained, symbol matching, amplitude sorting and disturbance direction and influence intensity marking are carried out in combination with the prediction sequence and the disturbance characteristic sequence, so that the raw material moisture content prediction has the dynamic trend judgment capability; tracing correlation can be carried out on a disturbance source, prediction sequence amplitude adjustment is carried out through a disturbance direction and an amplitude mark, prediction correction of disturbance response and trend inversion abnormal point detection are achieved, and meanwhile local residual analysis is introduced to construct a trend residual sorting table; the abnormal inflection point is taken as the core to carry out weight sorting of the correction result and guide scaling and direction adjustment of the moisture content correction trend, and finally, adjustment instructions of the hot air temperature, the heating source power and the drying channel humidity are generated according to the deviation degree of the prediction result and the target set value.

According to the non-intrusive identification method suitable for the operation load of the central air conditioner, the central air conditioners of different brands are selected, electrical waveforms of the complete operation process of the central air conditioners are recorded, time-frequency domain characteristic analysis is carried out, common characteristics are extracted, and total daily electrical load data and daily air temperature data of a user in the past one year are selected; analyzing the incidence relation between the daily electrical load curve and the daily temperature curve of the user, obtaining a heating load area, a basic load area and a cooling load area, performing linear data fitting with the temperature to obtain a load curve, and subtracting the basic load curve from the cooling load curve to obtain a load curve; further judging whether the central air conditioner is in a starting / stopping state or not, and obtaining the electric quantity of the central air conditioner equipment in the operation period through steady-state power integration by adopting sub-item electric quantity estimation in the starting event and stopping event period of the user air conditioner; and running state tracking and electricity consumption estimation of the central air conditioner are realized.

The invention belongs to the technical field of material and coating corrosion tests, and relates to a whole sea area atmospheric environment comprehensive simulation test system, which adopts an integrated structural design, and performs integrated coupling of various environmental test simulation capabilities on the basis of a single-function test box. The device has the test capabilities of metal material corrosion acceleration test, organic composite material and coating aging evaluation and the like, can simulate the global marine atmospheric environment and coupling of multiple factors such as air temperature, humidity, salt mist and ultraviolet irradiation, can perform comprehensive test evaluation on the whole-sea-area marine atmospheric environment of typical materials, avoids the problem of inconvenient operation of corrosion tests, and has a wide application prospect. The device can be used for corrosion and ultraviolet aging tests of conventional marine atmospheric environment corrosion media, polar regions, tropical regions and other extreme marine atmospheric environments, and material corrosion tests for simulating marine splash zones, tidal range zones and the like. The device is simple in structure and convenient to operate, and coupling of multiple factors of high and low temperature, humidity, salt mist, ultraviolet illumination and periodic infiltration can be achieved.

The invention discloses a cold region SWAT model construction method considering a glacier melting process. A calculation method comprises the following steps: step 1, obtaining corrected rainfall data; corrected air temperature data are obtained; evapotranspiration correction data is obtained; actually measured runoff is obtained; 2, obtaining a plurality of sub-basin boundaries and spatial distribution of each sub-basin glacier; 3, calculating the glacier melting amount of each sub-drainage basin in the research time period by adopting a day-to-day factor method to obtain the day-by-day glacier melting amount of each sub-drainage basin; step 4, performing double-element parameter calibration based on the actually measured runoff data and the evapotranspiration correction data to obtain parameters suitable for the watershed hydrological process; and 5, calculating to obtain the relative contribution rate of the glacier melting process to runoff and evapotranspiration. The simulation precision of hydrological elements such as runoff of the cold region hydrological model is improved, and a scientific basis can be provided for sustainable utilization and planning of water resources of a local drainage basin.

The intelligent control method comprises the steps that a plurality of sensors and frequency converters are installed and used for monitoring the air temperature and humidity, the moisture content and the front-back pressure difference of a fresh air filter in real time; regulating and controlling the rotating speed of an air feeder, the rotating speed of a regeneration fan and the rotating speed of a rotating wheel through a frequency converter, obtaining sensor data under corresponding rotating speeds, and establishing an air supply quantity model, a fresh air quantity model and a rotating wheel dehumidification quantity model; the power of an air feeder, the front-back pressure difference of a fresh air filter and air parameter data are collected in real time, and the current dehumidification load is calculated according to a fan air supply amount model, a fresh air amount model and a preset formula; and selecting a preset control strategy to dynamically adjust the rotating speed of the rotating wheel, the rotating speed of the regeneration fan and the regeneration temperature according to the current dehumidification load and / or the rotating wheel dehumidification amount model so as to realize indoor humidity control. Start and stop can be automatically controlled and the dehumidification amount can be matched according to the actual wet load, excessive dehumidification or idle work is avoided, and the dehumidification efficiency is improved through multi-parameter cooperative control.

The invention relates to the technical field of cold-chain commodity transportation, in particular to a temperature monitoring and control method in a cold-chain commodity transportation process, which comprises the following steps: acquiring real-time temperature data, and generating a thermal response digital file of a cold-chain commodity according to the real-time temperature data and a cold-chain commodity category database; real-time positions and external air temperature data of the cold chain commodities are collected, and a temperature threshold value of the next time period is predicted according to the heat capacity characteristic parameters reflected by the thermal response digital archive; a three-dimensional temperature field distribution diagram is constructed based on the temperature threshold value of the next time period and the vibration data of the compartment where the cold-chain commodities are located; generating a control instruction according to the coordinates of the temperature anomaly region in the three-dimensional temperature field distribution diagram; after the control weight coefficient is calculated according to the control instruction and the preset energy consumption optimization objective function, the temperature control operation is executed according to the control weight coefficient and the control instruction, and balance temperature monitoring and control and energy consumption optimization are effectively achieved.

The invention provides a state evaluation, regulation and control method and platform for a ring main unit, and relates to the technical field of intelligent power systems, and the method comprises the steps: predicting and obtaining the SF6 gas component of a target ring main unit at a current time node based on an inspection log and an SF6 gas component record; according to the predicted SF6 gas data, the SF6 gas concentration, the air temperature in the cabinet and the air humidity in the cabinet, insulation fault probability analysis is carried out in combination with the electric power internet, and the predicted insulation fault probability is obtained; and if the predicted insulation fault probability exceeds an expected probability threshold, generating a risk early warning signal, and performing dynamic regulation and control according to a predetermined scheme. The technical problems that a traditional insulation performance evaluation method usually depends on a single physical quantity for judgment, the insulation state of equipment cannot be comprehensively known, and the accuracy and reliability of insulation performance evaluation are low can be solved, the accuracy and reliability of ring main unit insulation performance evaluation can be improved, and the reliability of ring main unit insulation performance evaluation is improved. And potential insulation fault threats can be found in time.

The invention provides a wind driven generator blade icing monitoring and deicing control system and method, and the system comprises a noise collection unit, a temperature collection unit, an actual calculation unit, a deicing scheme generation unit, and a deicing scheme selection unit. The operation parameters of the wind generating set are monitored and analyzed by combining with the operation parameters of the wind generating set, including wind speed, air temperature, humidity, blade rotating speed, power generation power and the like, and meanwhile, real-time monitoring, acquisition, processing and storage are carried out through a monitoring system and a sensor. Operation parameters and environment data of the wind generating set are monitored, collected, processed and stored, monitoring, alarming and analyzing of the icing condition of blades are achieved, the optimal deicing strategy and time arrangement are determined, the deicing effect is improved to the maximum extent, the energy consumption of the set is reduced, the power generation efficiency and economical efficiency of the set are improved, and the economic benefit is increased. The purposes of reliable, efficient and economical operation and maintenance of the wind generating set are achieved.

The invention discloses a spray drying device for boron carbide production, the spray drying device comprises a spray drying tower, a hot blast stove, a cyclone separator and a system controller, an atomizer and an online detection module are arranged in the spray drying tower, and the online detection module is used for monitoring temperature parameters in the spray drying process; comprising a first temperature sensor, a second temperature sensor and a temperature signal processing unit, the temperature signal processing unit adopts a multi-stage filtering and error compensation technology, noise and interference are effectively suppressed, and the accuracy of detection data is ensured. The air inlet temperature and the air outlet temperature are monitored in real time through the online detection module, the fuzzy-PID control algorithm is combined, the temperature control precision and the response speed are remarkably improved, and temperature fluctuation is reduced. The device dynamically adjusts the heating power of the hot blast stove according to real-time working conditions, the energy utilization efficiency is optimized, and the energy consumption is reduced.

The invention discloses high-temperature gas temperature measuring equipment, and relates to the technical field of gas temperature detection. Through the design of the rotary shifting piece and the baffle plate, the air in the rotary chamber can generate an obvious centrifugal force effect under the condition of high-speed rotation, so that the air with lower temperature quickly flows to the edge of the inner wall of the rotary chamber under the centrifugal force effect, and the air with higher temperature is gathered to the axis position of the rotary chamber. According to the design, flowing of air and gathering of hot air can be completed in a relatively short time, and the accuracy and efficiency of air temperature measurement are greatly improved; due to the fact that the light emitted by the semiconductor laser can generate wavelength red shift after being heated, the laser is guided to the optical wavelength detector through the light guide optical fiber to be detected, and the temperature of air can be accurately measured. And reliable and accurate temperature data can be provided in an occasion with a high-precision measurement requirement, and measurement errors of a traditional temperature sensor in a high-temperature or complex environment are effectively avoided.

The invention relates to the technical field of tobacco leaf curing modulation, and discloses a rainy weather tobacco leaf curing temperature and humidity control method and system.The rainy weather tobacco leaf curing temperature and humidity control method comprises the following steps that temperature and humidity data of multiple positions in a tobacco loading chamber of a bulk curing barn are collected and analyzed in real time based on a temperature and humidity sensor; the influence of rainy weather on humiture fluctuation in a tobacco loading chamber of the bulk curing barn is evaluated, the change trend of humiture is identified, and humiture monitoring data is generated; by collecting and analyzing temperature and humidity data of multiple positions in the tobacco loading chamber of the bulk curing barn in real time, the actual influence of air temperature and humidity in rainy weather on the curing environment is evaluated, power input and response of curing heat supply equipment are analyzed and adjusted, the stability and reliability of the curing process under the severe weather condition are ensured, and the curing efficiency is improved. The infrared spectrum sensor is used for monitoring changes of various compounds in the tobacco leaf curing process in real time, curing parameters are adjusted, and the tobacco leaf bulk curing quality is improved.

The embodiment of the invention discloses a control method and device of an air conditioner, the air conditioner and a vehicle, and belongs to the technical field of air conditioning. The control method comprises the steps that the air inlet temperature and the air outlet temperature of an indoor unit are obtained, and the indoor environment temperature is obtained; determining a first temperature difference according to the absolute value of the difference between the air inlet temperature and the indoor environment temperature, and determining a second temperature difference according to the absolute value of the difference between the air outlet temperature and the indoor environment temperature; determining a temperature difference correction value according to the first temperature difference and the second temperature difference; and controlling compressor frequency according to the temperature difference correction value. According to the embodiment of the invention, the frequency of the compressor is accurately regulated and controlled under the condition that an outdoor environment temperature sensing bulb and a compressor exhaust temperature sensing bulb are omitted, the wiring space of the outdoor unit is saved, the cost is saved, and miniaturization design of the outdoor unit is facilitated.

The embodiment of the invention discloses a water-gas interface greenhouse gas flux automatic monitoring system and a distribution prediction method. The system comprises a wind speed sensor and an air pressure and temperature sensor which are respectively used for collecting the wind speed of air at a monitoring point, the atmospheric pressure and the Kelvin air temperature; the infrared sensor is used for collecting the content of CO2, CH4 and N2O in the air of the monitoring point; the acidity sensor and the temperature sensor are respectively used for collecting the pH value and the centigrade water temperature of monitoring point water; the carbon dioxide sensor is used for collecting the concentration of bicarbonate in water at a monitoring point; the methane sensor and the nitrous oxide sensor are respectively used for collecting the contents of greenhouse gases CH4 and N2O dissolved in the monitoring point water; and the calculation module is used for calculating the flux of the greenhouse gas on the water-gas interface. According to the embodiment of the invention, the water-gas interface flux of various greenhouse gases under actual conditions can be accurately monitored.

The invention discloses a silicone oil clutch fan control method and device. The method comprises the steps that an engine air inlet temperature signal, a fan actual rotating speed signal, an engine cooling water temperature signal, an engine torque signal and an engine rotating speed signal are obtained; according to the engine air inlet temperature signal and the fan actual rotating speed signal, the engine air inlet temperature and the fan actual rotating speed are determined; according to the engine torque signal, the engine rotating speed signal and the cooling water temperature signal, the fan duty ratio needed by water outlet temperature cooling is determined, and according to the air inlet temperature signal, the fan duty ratio needed by air temperature cooling is determined; and determining a target fan duty ratio according to the fan duty ratio required for water temperature cooling and the fan duty ratio required for temperature cooling, determining a target rotating speed according to the target fan duty ratio, and controlling the fan to be adjusted to the target rotating speed from the actual rotating speed of the fan. The problems that in the prior art, due to the fact that an electronic control silicone oil clutch fan is imperfect in control strategy, heat of an engine is prone to being accumulated, cooling is not timely, oil consumption is high, and the engine breaks down are solved.

The explosion-proof cooling device for the underground coal mine comprises a frame, an air-cooled condenser, a compressor unit, a shell-and-tube evaporator and a base are installed in the frame, and a programmable control box is installed at the left end of the frame; the air-cooled condenser is used for heat dissipation and cooling of coolant compressed gas; the compressor unit is used for compressing a gas refrigerant and comprises an oil separator, a double-screw compressor, a first motor, a double-loop reversible vacuum electromagnetic starter, a liquid storage tank, a first drying filter and a second drying filter; the shell-and-tube evaporator is used for heat exchange between high-temperature nitrogen and a low-temperature refrigerant. According to the cooling device, a refrigerant used when the cooling device works can be recycled, the investment of resources and cost of the part is reduced, the refrigeration cost is saved, nitrogen in the device can rapidly and continuously release low-temperature nitrogen, the air temperature in a large range of a mining area is efficiently achieved, air is inerted, the oxidation spontaneous combustion rate of coal is reduced, and gas explosion is restrained; the mining area safety is improved.

The invention discloses an air conditioner heat management double-temperature-zone cooperative control method, device and equipment and a storage medium, and relates to the technical field of electric vehicle control. The method comprises the steps that the target air outlet temperature is obtained, and the starting state of a double-temperature-zone air conditioner is obtained; the corresponding temperature adjusting device is started according to the target air outlet temperature, the target adjusting temperature is set according to the starting state of the double-temperature-zone air conditioner so as to conduct temperature adjustment, and the target adjusting temperature comprises the target evaporation temperature and / or the warm air temperature; the opening state of the air door is controlled according to the opening state of the double-temperature-zone air conditioner, a cold source and a heat source are reasonably opened, execution mechanisms such as an electronic expansion valve, a heat source distribution three-way water valve and a temperature air door are cooperatively controlled, the cold and heat sources are reasonably distributed, energy consumption is saved, the opening degree of the air door is controlled in a closed-loop mode, and comfort is improved to a great extent.

The invention discloses a built-up area thermal comfort fine evaluation method, system and terminal based on WRF and XGBoost coupling simulation, and the method comprises the steps: calculating urban morphological parameters based on an LCZ map through geographic space information data; improving the WRF model by using the LCZ map and the urban morphological parameters to obtain a target WRF model; respectively establishing historical microclimate data sets corresponding to the air temperature, the relative humidity and the wind speed, and training and testing the XGBoost model by using the historical microclimate data sets to obtain a target XGBoost model; inputting the simulation result to be evaluated into the target XGBoost model to obtain a target air temperature, a target relative humidity and a target wind speed; and according to the target air temperature, the target relative humidity and the target wind speed, calculating a thermal comfort evaluation index of the built-up area. According to the method, multi-element, large-range, high-precision and high-temporal-spatial-resolution built-up area thermal comfort evaluation is realized.

The invention discloses a temperature prediction method based on a graph neural network and a related device, and belongs to the technical field of cloud computing system data center thermal management, and the method comprises the steps: S1, collecting simulation environment basic information, and building a simulation model and simulation data of a data center machine room; s2, expanding the simulation data to obtain generated data, and merging the simulation data and the generated data to form a mixed data set; s3, constructing a graph topological structure of the data center machine room and a thermal prediction model of the data center machine room, and training the thermal prediction model of the data center machine room to obtain a trained thermal prediction model of the data center machine room; and S4, deploying the trained data center machine room heat prediction model to the data center, and inputting the real-time server power, the air conditioner set temperature and the indoor temperature into the trained data center machine room heat prediction model to obtain the server return air temperature. Not only can a complex heat transfer rule be captured, but also different space structures and dynamic changes can be adapted.

The invention discloses an automatic driving evaluation system based on artificial intelligence, and relates to the technical field of automatic driving, and the system comprises the following components: a meteorological model coupling module, a sensor parameter adjustment module, an automatic driving simulation module and an evaluation analysis module. According to the invention, data connection is established between the meteorological model coupling module and an external meteorological model, comprehensive meteorological data including temperature, humidity, wind speed, rainfall, snowfall, visibility and the like are acquired in real time, and a simulated extreme weather scene is constructed based on the data. The sensor parameter adjusting module automatically adjusts performance parameters of a vehicle sensor according to different weather types to ensure the accuracy of sensor data under extreme weather conditions, and the automatic driving simulation module operates an automatic driving system model in a simulated extreme weather scene to simulate the vehicle driving process.

The utility model discloses a cooling air cooling system for glass tempering. The cooling air cooling system comprises a heat exchange air bellow, a primary heat exchanger and a secondary heat exchanger, an input port of the heat exchange air bellow is used for communicating with an output port of the fan, and an output port of the heat exchange air bellow is used for communicating with a cooling air input port of the air grid quenching section; the first-stage heat exchanger and the second-stage heat exchanger are installed in the heat exchange air box, the first-stage heat exchanger is close to an input port of the heat exchange air box, and the second-stage heat exchanger is close to an output port of the heat exchange air box. The temperature of the refrigerant circularly flowing in the second-stage heat exchanger is lower than the room temperature and lower than the temperature of the cooling water circularly flowing in the first-stage heat exchanger; the first-stage heat exchanger and the second-stage heat exchanger are used for exchanging heat with cooling air input into the heat exchange air box and making the temperature of the cooling air output by the heat exchange air box lower than a set temperature threshold value, and the temperature threshold value is not higher than the room temperature. Through heat exchange, the temperature of cooling air output by the heat exchange air box is lower than the room temperature.

The invention relates to an air conditioner temperature and humidity independent control system and method based on two-stage coil chilled water. On the basis of the existing chip plant temperature and humidity independent control based on a fresh air processing unit, a return air drying and cooling coil and a fan filtering unit, low-temperature chilled water outlet of a water chilling unit firstly passes through a fresh air re-cooling coil; return water obtained after the temperature of the fresh air re-cooling coil pipe rises serves as water supply of the fresh air pre-cooling coil pipe and the return air cooling dry coil pipe, so that two-stage coil pipe chilled water is formed, and the return water of the fresh air pre-cooling coil pipe and the return water of the return air cooling dry coil pipe are mixed and then serve as chilled water return water of the water chilling unit. By increasing the return water temperature of the water chilling unit, the average evaporation temperature of an evaporator of the water chilling unit is increased. A bypass is arranged between an inlet and an outlet of the return air cooling dry coil, and the air temperature in the plant is controlled by adjusting the bypass flow through an electric two-way adjusting valve and a PID controller. Compared with the prior art, the invention has the advantages of high unit energy efficiency ratio, low refrigeration energy consumption, simplified system and the like.

The invention provides a sea fog forecasting method, medium and system based on ocean station observation data, and belongs to the technical field of electrical digital data processing, and the method comprises the steps: firstly, obtaining years of continuous hydro meteorological observation data of an observation station, including air temperature, dew point temperature, seawater temperature, wind direction and wind speed and other data; performing multi-scale decomposition through wavelet transform to obtain variable components of different time scales; then, forecasting factors including temperature difference, stability index and the like are calculated, and layered Fisher discriminant analysis is carried out according to seasons and weather system types. A polynomial discrimination equation set is established by calculating a weight coefficient, and a discrimination critical value is determined by combining a probability density function, so that whether the weather is foggy or not is judged. And finally, verifying by adopting a three-level inspection system, and constructing a complete forecast product release system including the strength grade of fog, the space-time evolution and the like, thereby realizing the accurate forecast of the sea fog. The technical problem that the accuracy of a traditional forecasting method fluctuates greatly under different conditions is solved.

The invention provides a low-grade waste heat recovery heat pump load matching control method and system, and relates to the technical field of waste heat recovery. The method comprises the steps that boiler operation parameters are obtained; identifying the change trend of the boiler load, and predicting the change direction and amplitude of the boiler load according to the change trend; determining an expected demand quantity and a target temperature interval of the boiler for the preheated air; generating a pre-regulation frequency instruction of the heat pump inverter compressor; and according to the temperature deviation between the heat pump preheated air outlet temperature and the target temperature interval, the pre-adjusting frequency instruction is corrected, a final frequency instruction is obtained, and a heat pump inverter compressor is controlled to operate. The method aims at solving the problem of response lag of existing single temperature feedback control, it is ensured that the preheating air temperature is stably maintained in the optimal combustion interval of the boiler, meanwhile, the energy efficiency of a heat pump system is optimized, abrasion of key components is reduced, and accurate and cooperative matching of the heating capacity of the heat pump and the preheating requirement of combustion air of the boiler is achieved.

The invention discloses a multi-mode coordinated ship main and auxiliary power automatic switching system, which relates to the technical field of ship power systems and comprises a monitoring system, a diagnosis decision system, an execution system, a switching verification system, a maintenance management system and a data communication system. According to the invention, the airborne weather radar, the ship weather instrument and the weather fax receiver are used for monitoring the current weather condition of navigation and predicting the weather condition of a future navigation route, so that a prediction basis is provided for a power system operation mode selected by future ship navigation; meanwhile, the ship weather instrument monitors surrounding wind speed, wind direction, air temperature and humidity data in real time when the ship sails, the current data is stored in the data storage, a database is formed, and a follow-up maintenance management system can predict potential risks according to historical data conveniently.

The invention relates to the technical field of electric energy meters, in particular to an intelligent electric energy meter with a power saving function. A communication module; the power supply module generates power according to the temperature difference between the surface temperature of the electric energy meter chip and the air temperature in the electric energy meter so as to provide electric energy for the communication module; and the control module is used for respectively adjusting the monitoring sampling mode of the detection module from a low-frequency sampling mode to a low-frequency full-frequency composite sampling mode according to the fluctuation ratio of the electrical load, and adjusting the data transmission mode of the communication module from a periodic transmission mode to an encrypted transmission mode based on the power generation voltage ripple of the power supply module. The signal transmission frequency band of the communication module is adjusted to be a low frequency band; wherein the alternating transmission frequency of single transmission of the periodic transmission mode is determined according to the average power generation voltage of the power supply module. The working stability of the electric energy meter is improved.

The invention provides a combustion control method and system suitable for Zhundong coal anti-coking, and relates to the technical field of combustion control, and the combustion control method comprises the following steps: determining combustion characteristic parameters of Zhundong coal; based on the combustion characteristic parameters of the Zhundong coal, establishing a combustion mathematical model of the Zhundong coal combustion process; the optimal combustion parameters of the Zhundong coal under different combustion working conditions are obtained through the combustion mathematical model, the three-dimensional numerical solution of the Zhundong coal in the combustion and coking process in the hearth is obtained through numerical simulation on the basis of the optimal combustion parameters, all the combustion parameters are optimized, and the optimal matching scheme for preventing coking combustion is obtained; the operation parameters of the combustion system and the coal pulverizing system are automatically adjusted, the opening degree of electric adjusting valves on a primary air pipe and a secondary air pipe is adjusted, the rotating speed of an air blower is adjusted through a frequency converter, the coal feeding amount and the primary air temperature of the coal pulverizing system are adjusted, and precise control and anti-coking optimization of the east Junggar coal combustion process are achieved.

The invention relates to a medium and long term provincial domain load time sequence scene generation method and system considering accumulated temperature effect under the drive of meteorological data, and belongs to the technical field of power system engineering. In a weather sensitive season, the weather sensitive season is divided into a basic load part and a weather sensitive load part by adopting a load decomposition theory, peak values of the basic load and the weather sensitive load are estimated by utilizing a multivariable gray system model, and the proportion of the weather sensitive load is estimated by combining an air temperature cumulative effect correction model and a CNN-BiLSTM-Attention model of weather data; the load of the weather sensitive season is obtained; meanwhile, a non-meteorological sensitive seasonal load is generated. And finally, combining the meteorological sensitive load with the non-meteorological sensitive load to obtain a provincial load scene. According to the seasonal discussion load scene generation method, the relevance between the load and the economic population index and the meteorological data is improved, and the generated scene has high credibility.