990 results about "Water consumption" patented technology

The invention provides an irrigation district water resource scheduling optimization method based on cloud computing, and the method comprises the following steps: collecting irrigation district multi-source data in real time through a space-air-ground integrated sensing network, and uploading the data to a cloud platform after preprocessing; the method comprises the following steps: constructing digital twin bodies of an irrigation area in a cloud platform, dividing the irrigation area into a plurality of sub-areas according to water consumption attributes, and integrating hydraulics and hydrological agriculture models; real-time data and future weather information are fused, and a water demand prediction value is generated through a water demand prediction model by taking the sub-region as a unit; a scheduling scheme is generated by adopting a multi-objective optimization algorithm based on the predicted value, and the minimum economic benefit, water resource utilization rate and energy consumption are taken as optimization objectives; and performing simulation evaluation on the scheme by using the digital twinborn body, outputting a performance index aided decision, and finally determining an optimal scheduling scheme. According to the method, accurate prediction, dynamic optimization and intelligent scheduling of the water resources in the irrigation area are realized, and the utilization efficiency of the water resources and the irrigation management level are improved.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a water inlet control method, device and equipment of clothes treatment equipment and a storage medium. After the clothes weight and the fabric material of the clothes in the inner drum are obtained, the water absorption rate of the clothes is determined according to the clothes material, then the clothes weight and the water absorption rate of the clothes, a washing program selected by a user and an expected water level height value are comprehensively considered, the washing water consumption needed in the treatment process of the clothes is determined, and finally the water consumption is reduced. And controlling the clothes processing equipment to execute water inlet operation according to the washing water consumption. According to the method, the problem that the water level cannot reach the preset water level height after primary water inflow due to inaccurate calculation of the primary water inflow is solved, the problem that the water inflow time is prolonged due to the fact that a water inflow program needs to be started for the second time to complement the water level is solved, and the operation efficiency and the user experience of the clothes treatment equipment are improved.

The invention discloses a hydropower line economic dispatching and load collaborative optimization system and method, and relates to the technical field of hydropower dispatching, and the system comprises a data collection module which is used for collecting hydropower station unit water consumption characteristic curve data, power grid real-time load demand data, reservoir water level dynamic data and unit vibration area constraint data; the model construction module is used for preprocessing the data acquired by the data acquisition module and constructing a multi-target optimization model with the minimum total water consumption and the minimum line transmission loss as targets in combination with constraint conditions; the improved optimization module is used for receiving the target function and the constraint condition output by the multi-target optimization model module and dynamically calculating the optimal load distribution scheme of each unit; and the result output module is used for receiving the optimal load distribution scheme output by the improvement and optimization module and realizing visual output and decision assistance of the scheme. The problem that a traditional scheduling scheme is low in traditional scheduling decision-making efficiency is solved, and the scheduling decision-making efficiency and engineering practicability are improved.

The invention provides an irrigation district water diversion quantity multistage distribution method under total quantity index constraint, comprising the following steps: dividing an irrigation district into a plurality of calculation units based on an administrative division boundary and a canal system network; respectively calculating the initial water demand of each calculation unit under the living water demand, the industrial water demand, the agricultural water demand and the ecological water demand; based on the initial water demand and according to multiple water resource rigid constraint indexes, performing at least one round of checking and pressure reduction on the initial water demand of each calculation unit to obtain an initial distribution water amount of each calculation unit; and carrying out secondary distribution on surplus water generated after checking and pressure reduction, and compensating the calculation units of which the water demand is not met to obtain the final distribution water of each calculation unit. According to the method, fair, reasonable and efficient distribution of water resources in a complex system with cross coupling of administrative division and canal system networks is realized, and the problems of conflict between a scheme and actual management requirements, water consumption contradiction and the like caused by a traditional single-dimension distribution method are avoided.

The multi-field coupling collaborative modeling and parameter autonomous intelligent decision-making method for the roller type quenching process comprises the steps that four key process parameters including the nozzle flow, the water ratio, the roller gap distance and the plate passing speed are collected and subjected to normalization preprocessing, and a training set and a test set are divided; the four key process parameters of the training set serve as input, the water-cooling convective heat transfer coefficient and the phase change plasticity coefficient serve as output, a BP neural network is trained, and the workpiece surface water-cooling convective heat transfer coefficient and the material internal phase change plasticity coefficient are predicted through the trained BP neural network; a multi-field coupling model composed of a temperature field, a structure phase change field and a stress-strain field is solved, and quantitative calculation of quenching core quality indexes is achieved; by taking water consumption minimization as a target, constructing a nonlinear optimization model under the condition that multiple core quality index constraints of the plate temperature, the outlet hardness and the plate shape are met; and performing global optimization on the optimization model by adopting a differential evolution algorithm, and autonomously deciding an optimal process parameter set value.

The invention provides an analysis method and device for flow, efficiency and water consumption rate of a hydraulic power plant generator set. A distributed flow measurement unit based on a domestic PLC controller and a domestic operating system is constructed, and each unit is independently configured with the flow measurement unit to realize decentralization of data acquisition and processing; active power, guide vane opening, water head difference, instantaneous flow and volute inlet pressure data are collected in real time through a distributed flow measurement unit, and a unit efficiency and water consumption rate calculation model is dynamically fitted based on the data; sending an output result of the calculation model to a monitoring system through an anti-interference communication network, wherein the communication network adopts layered wiring and a double-shielded twisted pair to reduce the signal bit error rate; and the IMC integrated management and control platform is used for remote monitoring and diagnosis of the flow measurement unit, and seamless connection with a smart power plant data medium station is realized. The system reliability and the maintenance flexibility are improved, and the autonomous controllable requirements of domestic substitution and intelligent power plants are comprehensively met.

The invention discloses a cotton irrigation decision-making system based on agricultural knowledge guidance and reinforcement learning. The method comprises the following steps: collecting data such as weather, soil and yield, and establishing a standardized agricultural database; a yield prediction model fusing the crop mechanism and deep learning is constructed, and yield responses of different irrigation states are evaluated; and integrating the prediction model with a crop simulation system DSSAT, constructing a simulation environment, optimizing an irrigation strategy in an iteration process by adopting a reinforcement learning algorithm, and realizing a dynamic decision by taking yield gain and water consumption as objective functions. The innovation point is that a knowledge-guided yield prediction network structure is provided, and the prediction precision and the model interpretability are improved; and a reinforcement learning mechanism based on a reward function is designed to realize joint optimization of yield and water saving. The method has the advantages that the problems that traditional irrigation depends on experience, decision lags and adaptability lacks are solved, the irrigation efficiency and the water resource utilization rate are effectively improved, and an intelligent, efficient and water-saving irrigation scheme is provided for cotton planting.

The invention discloses a novel corrugated paper squeezing device which comprises bearing frames, a conveying belt and a squeezing assembly used for squeezing corrugated paper, the number of the bearing frames is two, the conveying belt is located between the two bearing frames, a fixing frame is arranged at one end of each bearing frame, and a first squeezing roller and a second squeezing roller are arranged in each fixing frame; and the first extrusion roller and the second extrusion roller are symmetrically arranged up and down. The squeezing flannelette outside the conveying belt can reduce tile paper friction, avoid surface scratching and assist in absorbing a small amount of water, the synchronizer controls the electric push rod to stretch out and draw back synchronously and is matched with the guide rod to enable the rotating roller to press the tile paper evenly, local overpressure damage or non-uniform underpressure dehydration is prevented, the water collecting box can collect extruded water, and the valve can drain water in time. Accumulated water is prevented from polluting equipment or flowing back, consumption of follow-up clean water is reduced, residual moisture of the corrugated paper can be further removed through secondary squeezing, moisture residues are greatly reduced, drying power does not need to be additionally increased, and power consumption is reduced.

The invention relates to the technical field of resource scheduling, in particular to a wheat irrigation optimization system based on big data, which comprises a leaf index identification module, a water consumption feature reconstruction module, a time period supply and demand pre-judgment module, a decision water distribution generation module and a dynamic duration execution module. According to the method, the continuous change structure is constructed according to the leaf area amplification characteristics in the wheat growth stage, the water demand characteristic dynamic reduction in the crop growth process can be realized, the trend curve is established by pairing the evapotranspiration rate and the leaf area change to identify the water consumption change node, and the accurate time period water demand description can be realized in the growth stage; the evapotranspiration supply trend is established in combination with meteorological prediction data, pre-judgment identification of the water supply and demand state in the future time period is achieved, time period deviation analysis and supply and demand difference judgment are introduced in the actual water distribution process, the scheduling flexibility and the resource matching precision are improved, and the adaptability and high efficiency of field water regulation and control in different growth stages are ensured.

The utility model discloses an MBR (Membrane Bioreactor) membrane in-situ cleaning device and a membrane frame. The MBR membrane in-situ cleaning device comprises a main frame, a cleaning assembly and a mobile platform, the main frame is of a three-dimensional structure, a positioning polish rod and a lead screw are arranged on the main frame, the lead screw is connected with a servo motor, the positioning polish rod and the lead screw penetrate through the movable platform and are detachably fixed to the main frame, and the movable platform can freely move on the polish rod and the lead screw; the cleaning assembly comprises a cleaning head and a connecting rod, the cleaning head is of a hollow structure and is provided with a water spraying opening, the connecting rod is of a hollow structure, the cleaning head is communicated with the connecting rod, the movable platform is provided with a through hole, and the connecting rod can penetrate through the through hole and is connected with the water distribution pipe; one end of the water pump is connected with the water suction pipe, and the other end of the water pump is connected with the water distribution pipe. In-situ online cleaning can be carried out under the state that the system is not shut down and does not need to be disassembled, the cleaning efficiency is greatly improved, the labor intensity is reduced, meanwhile, the water consumption is reduced, and the energy consumption is reduced.

The embodiment of the invention relates to the technical field of steam turbine cold end optimization, in particular to an air cooling unit spray cooling cooperative control method and device, equipment and a medium. And the spraying cooling amount needed for achieving the target back pressure is calculated based on a thermodynamic characteristic model, so that a feedforward spraying water amount control scheme is formulated, the predicted working condition and the spraying scheme are comprehensively considered, the rotating speed of the air cooling fan is optimized and set through a decision optimization model, and cooperative control over the fan and a spraying system is achieved. By means of the method, advanced and accurate control over the spraying water amount and the rotating speed of the draught fan is achieved. The collaborative optimization strategy ensures that the system can operate in an economic mode under different working conditions, that is to say, on the premise of meeting the backpressure constraint, the overall economic operation level of the system is remarkably improved while safe and efficient operation of a unit is ensured by weighing the fan power consumption cost and the spraying water consumption cost.

The invention belongs to the technical field of water affair management, and relates to an urban water plant water supply balance automatic scheduling method and system. According to the method, the water pressure value of each monitoring point in the water supply network and the water consumption of the water metering unit are collected in real time, the water time sequence characteristics are extracted to identify the potential peak period, and the validity of the peak period is verified by combining the correlation between the water pressure and the water consumption; performing region division and water consumption aggregation based on peak period distribution and a pipe network topological structure, calculating water consumption deviation of adjacent regions, and when the deviation exceeds a historical synchronous fluctuation range, dynamically generating a target water supply pressure value and issuing a scheduling instruction; and evaluating the balance state of the water pressure and the water consumption between the areas after scheduling by executing the feedback data. According to the method, the problems of response lag and regional supply and demand imbalance in traditional scheduling are solved, accurate regulation and control of the water supply pressure and regional water consumption balance in the peak period are achieved, and the stability and the energy efficiency level of a water supply system are improved.

The utility model belongs to the technical field of architectural design, and particularly discloses a pass-type vehicle washing tank for a mineral powder transport vehicle. The two sides of the car washing tank bottom of the car washing tank are connected with the car washing tank ramps to form a V-shaped tank with a large obtuse angle, the car washing tank turnup fixedly blocks the car washing tank bottom and one end of the car washing tank ramps on the two sides, the top end of the car washing tank turnup is not lower than the highest point of the car washing tank ramps, and the sedimentation tank fixedly blocks the other end of the car washing tank bottom and is communicated with the car washing tank bottom. The clear liquid collecting tank is arranged on one side of the sedimentation tank and communicated with the sedimentation tank, a water inlet of the water pump extends into the clear liquid collecting tank, a water outlet of the water pump extends into the car washing tank defined by the car washing tank ramp, the tank bottom, the turned-over edge and the sedimentation tank, and a water supply pipe communicated with a water supply system is further arranged in the car washing tank. The large-obtuse-angle V-shaped groove is formed between the bottom of the car washing groove and the car washing groove ramps on the two sides, the phenomena that the head of a passing car is warped and wheels are suspended can be avoided, water consumption is reduced, and the car washing groove has the advantages of being simple in structure, small in occupied area, capable of saving water, convenient to clean sediment and safe in passing.

The invention discloses a fluorine-containing wastewater advanced treatment system and a fluorine-containing wastewater advanced treatment method based on cooperation of chemical precipitation and a membrane method. Comprising a sedimentation tank, a dynamic filter and a double-membrane system which are arranged in sequence, wherein in the sedimentation tank, a modified calcium salt precipitator and CaF2 seed crystals are added into the fluorine-containing wastewater for reflux, and large calcium fluoride particle precipitates are formed through an induced crystallization adsorption-sedimentation mechanism; the dynamic filter is used for intercepting sediments from effluent of the sedimentation tank through a gradient aperture structure to realize solid-liquid separation and preliminary fluorine removal; and the double-membrane system is used for removing residual fluorine-containing particles, colloids and ions in the wastewater treated by the dynamic filter by utilizing an ultrafiltration membrane and a reverse osmosis membrane. Through cooperation of a modified calcium salt adsorption-precipitation mechanism and a membrane gradient interception method, efficient trapping and solid-liquid separation of fluorine ions are achieved, the fluorine removal precipitation reaction is enhanced, the medicine consumption is reduced, and near-zero external water consumption is achieved.

The utility model discloses a central water treatment filtering device for desalted water production. A raw water inlet pipe of a reservoir is communicated with a water inlet pipeline of each filter; the ultrafiltration processors are connected in series; a water outlet of each filter is communicated with a water inlet pipeline of the first-stage ultrafiltration treater; a water outlet of the N-stage ultrafiltration treater is communicated with a water inlet pipeline of the filtered water storage tank; a water outlet of the filtered water storage tank is communicated with a water inlet pipeline of the primary reverse osmosis processor; all stages of reverse osmosis processors are connected in series, and water outlets of the N stages of reverse osmosis processors are communicated with a demineralized water storage tank pipeline. According to the device, the content of various pollutants in water entering the ultrafilter can be reduced, a filter element for ultrafiltration and reverse osmosis can be protected, the content of various impurity ions in the water after ultrafiltration is reduced, the conductivity of produced water is about 10 us / cm, the hardness is 0.01 mol / L or below, the produced water is used for supplementing water for a steelmaking and steel rolling heating furnace, and generated steam can be used for power generation of a steam turbine. Water consumption is reduced, resources are saved, and the accumulation speed of scale in the boiler is effectively reduced.

The invention relates to the technical field of irrigation prediction, in particular to a soil moisture content-based irrigation water consumption prediction method. According to the method, the water consumption rate is calculated by synchronously obtaining the photosynthetic radiation intensity and the matrix water content in a sliding time window; determining a load index representing moisture extraction resistance based on a mean ratio of radiation to consumption rate, and constructing a fluctuation transmission index reflecting matrix hydraulic connectivity based on a ratio of variation coefficients of the radiation and the consumption rate; combining the two indexes to generate a hydraulic blocking risk coefficient for identifying recessive drought caused by capillary fracture; and finally, predicting the actual water demand according to the risk coefficient and the preset maximum irrigation amount. According to the method, physiological regulation of crops and physical water shortage of the substrate can be effectively distinguished, the judgment accuracy of the microcosmic hydraulic communication state of the substrate is remarkably improved, then irrigation water consumption prediction is more targeted and timeliness, and mistaken irrigation or leakage irrigation is avoided.

One variation of a method includes, during a first time period preceding a predicted hot water consumption event within a building: triggering a heat pump arranged within a water heater to heat water toward a target supply temperature for water supplied to a building by the water heater; and, at the water heater, supplying water, proximal the target supply temperature, to the building during the hot water consumption event. This variation of the method also includes, during a predicted null hot water consumption window within the building: triggering the heat pump to maintain water stored in the water tank proximal a nominal temperature less than the target supply temperature; and, at the water heater, in response to detecting flow of water from the water heater, triggering an inline heater, arranged within the water heater, to heat water toward the target supply temperature.

The invention relates to the technical field of intelligent water affairs, and provides a water supply pipe network leakage monitoring method comprising the following steps: collecting pipe network multi-source data and pre-processing; constructing a pipe network directed graph topological structure, inputting data into a space-time graph convolutional neural network to extract space-time correlation characteristics, and predicting a dynamic reference pressure value and a flow value of each node in combination with environment temperature and historical water consumption; calculating a residual error between an actual monitoring value and a reference value, dynamically determining an adaptive threshold value based on historical residual error statistical characteristics, and judging that leakage occurs when the residual error continuously exceeds a limit; finally, the pipe network hydraulic micro model is called for reverse evolution, the virtual leakage amount of each pipe section is calculated through a leakage coefficient optimization algorithm, and the pipe section with the maximum value is determined as the leakage point. According to the method, deep learning and a hydraulic mechanism are fused, the anti-interference capacity is high, the false alarm rate can be effectively reduced, and early warning and accurate positioning of tiny leakage are achieved.

The invention relates to the technical field of water treatment equipment, and discloses a low-salt-consumption intelligent-regeneration water softener and a regenerant dosage accurate control method, the low-salt-consumption intelligent-regeneration water softener comprises: a softening unit, which comprises a tank body (made of food-grade glass fiber reinforced plastic or stainless steel and having a volume of 5-200L), and ion exchange resin (with a type of strongly acidic cation exchange resin, a type of cation exchange resin, a type of cation exchange resin, and a type of cation exchange resin) filled in the tank body; the filling volume accounts for 60%-80% of the effective volume of the tank body), and the multi-way intelligent control valve is installed at the water inlet and outlet end of the tank body. By calculating the residual exchange capacity of the resin in real time (the error is less than or equal to 5%) and dynamically adjusting the feeding amount of the regenerant (accurately matching the actual demand), the fixed excessive feeding (for example, 30-50% of more salt is added) of traditional equipment is avoided, the salt consumption is reduced by 40-70% compared with that of a traditional water softener (for example, 1.5 kg of salt is used for regeneration each time in the prior art, and only 0.45-0.9 kg of salt is needed in the invention); regeneration is triggered on the basis of the actual residual capacity of resin, and the problem of too early regeneration or too late regeneration caused by fluctuation of water consumption of traditional equipment is solved.

The invention discloses a mobile air conditioner condensate water consumption structure, a mobile air conditioner and a control method thereof, and belongs to the field of mobile air conditioners. The condensate water consumption structure comprises a water collecting part and a water tank; the water collecting part is arranged on one side of the condenser and used for collecting condensed water splashed after the water beating impeller raises towards the condenser. The water collecting part is connected with the water tank which is used for collecting condensate water collected by the water collecting part. According to the technical scheme, through the water collecting part and the water tank, part of sputtered condensate water can be collected when the water fetching impeller raises the condensate water in the water receiving disc to the condenser, so that part of the condensate water can be conveyed into the water tank when the condensate water level in the water receiving disc is high, components such as a water pump do not need to be used, and the cost is reduced. The problem that in the high-humidity environment, the water level of condensate water in the water pan is high, and water-full shutdown is likely to be caused is effectively solved, meanwhile, it is ensured that the water level in the water pan is not too high in the high-humidity environment, the heat dissipation efficiency of the mobile air conditioner is ensured, and the user experience is improved.

The invention relates to the field of ecological hydrology, and discloses an arid and semi-arid region plant ecological water consumption calculation method, which comprises the following steps: acquiring meteorological, soil and vegetation phenological data; constructing a root system depth dynamic evolution model, and updating the maximum depth of the root system day by day; determining the depth weight of the effective moisture extraction layer based on the dynamic root system distribution; calculating the weighted average effective soil water content; and outputting daily-scale ecological water consumption in combination with the corrected transpiration scale model. By coupling meteorological driving, soil moisture stress and a dynamic regulation and control mechanism of a plant growth stage on a root system, the water consumption inversion precision is remarkably improved, the root-mean-square error is reduced by more than 25% through actual measurement verification, and a high-precision quantification tool is provided for ecological water demand evaluation and water resource management.

The invention belongs to the technical field of high-temperature alloy smelting equipment control, and discloses a method and system for predicting, controlling and adjusting water flow of a consumable vacuum furnace for high-temperature alloy. Aiming at the problems of water flow regulation lag, low prediction precision, large quality fluctuation and high energy consumption in the smelting process of an existing vacuum consumable electrode furnace, the method predicts the water flow in the next five seconds by adopting an LSTM-XGBoost fusion model through multi-source data acquisition and wavelet transform preprocessing, realizes self-adaptive adjustment within one second by combining a fuzzy PID algorithm, and improves the prediction accuracy of the water flow in the next five seconds. The model is reversely optimized based on the cast ingot flaw detection qualification rate and the composition segregation degree; the matching system comprises a data acquisition module, a data processing module, a prediction control module, an execution module, a feedback monitoring module and a software system, and supports off-line operation and multi-mark alloy adaptation. And the flaw detection qualification rate of the high-temperature alloy cast ingot is increased to 97.8%, the cooling water consumption of a single furnace is reduced by 11.8%, the energy consumption of a water pump is reduced by 20.8%, the quality stability of the cast ingot can be effectively guaranteed, the production cost is reduced, and the method is suitable for vacuum consumable remelting production of high-temperature alloys such as GH4169 and the like.

The invention discloses a water supply network safety monitoring system based on a hydraulic model, and belongs to the technical field of water supply network monitoring. The Caputo fractional order operator introduces historical memory characteristics through an integral term, explicit modeling is carried out on disturbance such as user water consumption fluctuation and sensor noise, and a clear disturbance compensation object can be provided for subsequent multi-source data fusion verification and self-adaptive correction; the pipeline-node coupling relation is embedded into the model through the topological incidence matrix, and structured input can be provided for a subsequent topological consistency verification algorithm; in combination with historical memory characteristics of a Caputo operator, the observer has robust estimation capability on slowly changing leakage disturbance and sudden water impact; the time-varying scaling item decays along with the time index, the gain of the observer is dynamically reduced, and quantization noise and electromagnetic interference of the SCADA sensor can be effectively filtered out in the steady-state stage; and through the positive error convergence index and the negative error convergence index, respectively optimizing the convergence speeds of the positive and negative pressure fluctuations.

The invention relates to the technical field of direct drinking water treatment, and provides a direct drinking water purification system and a dynamic regulation and control method, a pollution load index is calculated by combining an inflow water quality parameter and a pre-membrane pollution index, a historical performance attenuation degree is extracted based on historical water production data, and accurate and comprehensive basic data support is provided for subsequent regulation and control; through time sequence analysis on historical water consumption data, water consumption feature vectors are identified, and difference scenes are divided, so that a regulation and control strategy can adapt to water consumption requirements of different scenes in a targeted manner; on the basis of a near-end strategy optimization algorithm, a state vector is constructed by a pollution load index, an attenuation risk index and a water use feature vector, the quality of produced water, the operation energy consumption and the service life of a nanofiltration membrane are taken into optimization targets, and meanwhile, a membrane pressure difference constraint is embedded; by regularly recording simulation verification data and dynamically optimizing a near-end strategy optimization algorithm and a long-short-term memory network, the regulation and control effect is prevented from being attenuated along with the operation time, and the stability and accuracy of long-term operation of the system are ensured.

The invention relates to the technical field of intelligent water affair management, in particular to a remote automatic meter reading method and system of an intelligent water meter, which effectively overcomes the limitation of single monitoring by introducing a dual monitoring mechanism of a first monitoring device and a second monitoring device and combining data fluctuation quantity analysis, data consistency comparison and weighted fusion calculation. By constructing a neighborhood data set and analyzing respective data fluctuation quantity, the system can identify the instability of first monitoring data and possible inconsistency between data of two devices, determine similarity characteristic values according to the data fluctuation quantity and the data consistency, and perform weighted fusion on the two monitoring data on the basis of the similarity characteristic values, so as to obtain a fusion result of the two monitoring data. According to the method and the system, the weights of different data sources can be dynamically adjusted by the system, so that the corrected and more accurate meter reading data can be obtained even in a complicated and changeable water flow environment, the accuracy and the reliability of the meter reading data are improved, and potential water consumption abnormity can be found in time.

The invention discloses a production process of zero-carbon blended yarn and fabric, and belongs to the technical field of zero-carbon fabric production, the zero-carbon blended yarn comprises the following raw materials by weight: 60% of regenerated polyester fiber; 40% of organic cotton fiber; the regenerated polyester fibers and the organic cotton fibers are mixed according to the proportion of 60: 40, biological enzyme degreasing treatment is adopted, and water consumption is reduced by 50%; s2, low-carbon spinning; s3, carbon footprint tracking; s4, no dyeing and finishing process; s5, closed-loop water treatment. According to the production technology of the zero-carbon blended yarn and the fabric, the zero-carbon blended yarn fabric produced through the production technology can be widely applied to the high-end fields of sportswear, outdoor equipment and the like, large-scale production of the zero-carbon blended yarn fabric is achieved through combination of raw material innovation, technology optimization and carbon management, environmental benefits are remarkably improved, and the production technology is suitable for popularization and application. The production process is energy-saving and consumption-reducing, and full-life-cycle carbon management is realized.

This invention provides an apparatus and method for cleaning long-distance filling pipelines using a gas-water mixture, belonging to the field of paste pipeline transportation technology. The apparatus includes a gas supply system, a water supply system, a gas-water mixing system, a safety assurance system, and a data acquisition system. During pipeline cleaning, the gas supply system is turned on after filling is completed; high-pressure gas mixes with the cleaning water to form a gas-water two-phase impact flow; the gas-water impact flow cleans the filling residue inside the pipeline along the transportation pipeline; cleaning ends when the solid content of the cleaning water decreases to 1%–3%. The addition of high-pressure gas intensifies turbulence, rapidly accumulates and releases energy, and induces localized water hammer, thereby improving pipeline cleaning efficiency. This invention can reduce the amount of cleaning water used from the usual 1.3 times the volume of the pipeline to be cleaned to 0.7–0.9 times, and reduce the pipeline cleaning time by 30%. This invention has the advantages of low water consumption, short pipeline cleaning time, and good cleaning effect, overcoming the current problem of high water consumption in pipeline cleaning.

The invention discloses a spray cooling intelligent management and control system optimization algorithm for a 330MW cogeneration unit, and relates to the technical field of thermal equipment cooling, and the algorithm comprises the steps: obtaining unit operation parameters, environment meteorological data, a spray system state and resource price information, and forming multi-source synchronous input data; on the basis of multi-source synchronous input data, feasibility judgment is carried out according to preset temperature, load and water source conditions, and a spraying enable signal is output; based on historical unit operation data, optimizing a time sequence prediction model constructed by hyper-parameters through a genetic algorithm, in response to the spray enable signal, performing rolling prediction on the saturation temperature of the condenser by using the time sequence prediction model in combination with a candidate spray strategy to obtain a temperature change sequence; according to the temperature change sequence, power generation benefit increment is calculated in combination with thermal characteristics of the steam turbine, spraying energy consumption and water consumption cost are deducted, and an optimization function is constructed; on the basis of the optimization function, supercooling prevention, condensation prevention, amplitude limiting execution and water source total amount limitation are embedded as hard constraint conditions.

The invention discloses a method for extracting walnut oil by a low-water-content water extraction method regulated and controlled according to viscosity change, and belongs to the field of edible oil processing. The method comprises the following steps: carrying out high-speed crushing and colloid mill grinding on shelled walnut kernels to obtain walnut pulp, adding different water contents into the walnut pulp, uniformly stirring, and measuring the viscosity change of the walnut pulp. And extracting the walnut oil from the walnut kernels by using a low-water-content water extraction method according to the viscosity change result. According to the method, the walnut oil can be efficiently prepared through a low-water-consumption water extraction method by adjusting the viscosity of the walnut pulp, the water consumption is greatly reduced, the walnut oil extraction time is shortened, and low-consumption green extraction of the walnut oil is achieved.

This invention relates to the technical field of fire hydrants and discloses an intelligent fire hydrant with water consumption monitoring function, comprising: a hydrant end cap at the upper end of the hydrant body assembly, and an equipment assembly installed inside the hydrant end cap; a transparent detection window on the hydrant body assembly, a rod inside the transparent detection window, a central rotating shaft installed on the inner side of the transparent window assembly, and a rotating scraper on the central rotating shaft; the rod can detect the water level in the hydrant body in real time, and the rotating scraper can clean the dirt on the surface of the transparent window assembly; this invention, through the coordinated linkage structure of the float, rod, and float plate inside the transparent detection window, combined with the visual observation slot design of the transparent window assembly, realizes real-time accurate monitoring and intuitive visual feedback of water consumption in the fire hydrant, effectively solving the technical pain points of traditional fire hydrants lacking convenient monitoring methods and having difficulty in accurately controlling water consumption.