310results about How to "Inhibit deterioration" patented technology

The invention relates to an optimization method for dynamic monitoring of an underground water level. Comprising the following steps: uniformly arranging a plurality of sensors in an underground water monitoring area, and monitoring multi-dimensional parameters including water pressure, temperature and humidity; the sensors form a gridding monitoring system through a wireless network; inputting multi-dimensional data acquired by the sensor array into a data fusion module, performing cooperative processing on the data by using a data fusion algorithm, and filtering noise and abnormal values; a unified water level change model is constructed, so that data of different parameters complement each other; dynamically adjusting the weight in the fusion algorithm regularly according to the historical data and the new measurement value; in the monitoring area, based on the dimensions of time and space, a space-time analysis model of underground water level changes is constructed, and the periodicity and regularity of water level fluctuation are excavated; and performing trend analysis on the historical water level data by adopting a time sequence analysis algorithm including ARIMA or LSTM to generate short-term and long-term water level prediction.

The invention provides a monitoring video transmission method and system based on wireless communication, and relates to the technical field of monitoring video transmission, and the method comprises the steps: obtaining and preprocessing network state data, the network state data comprising bandwidth, time delay and packet loss rate; establishing a network state prediction model based on the LSTM neural network, and predicting a future network state according to the network state prediction model; based on the future network state, a multi-objective optimization algorithm is adopted to perform transmission path selection; and for the selected transmission path, video coding parameters are adjusted, the coding parameters comprise a code rate, a resolution ratio and a frame rate, and a self-adaptive transmission protocol is adopted to dynamically adjust the transmission rate according to a real-time network state. According to the method, different paths can be dynamically selected, network congestion or degradation is avoided, and the video transmission quality and rate are adaptively and flexibly adjusted according to the current network state, so that stable transmission of the video quality under different network conditions is ensured.

The invention discloses a welding device and method for metal corrugated pipe production, and relates to the technical field of metal pipe production. A sliding rail is arranged at the top of the base, a collecting box is arranged on one side of the back of the sliding rail, two linkage plates are symmetrically arranged in the sliding rail, an L-shaped plate is arranged at the edge of the top of the base, an annular rail is arranged on the side, close to the axis of the base, of the L-shaped plate, and a welding assembly is arranged in the annular rail. Two deviation prevention devices are symmetrically arranged on the top of the base, and anti-falling devices are arranged on the inner sides of the deviation prevention devices. By means of the inclined plate and the round roller, it is guaranteed that a pipe entering the limiting ring is located in the center of the interior of the limiting ring all the time, the phenomenon of slight deviation in the pipe alignment process is avoided, and workers need to observe the deviated direction with the naked eyes so that manual adjustment can be conducted; and the alignment accuracy between the two pipes is effectively improved, and the welding preparation time is shortened.

The invention discloses a pollution research and water quality prediction method based on river segmented water environment capacity analysis. The method comprises the following steps: accurately dividing a drainage basin into water environment capacity accounting units; obtaining a river water body image through satellite remote sensing; identifying and quantifying the positions and the intensities of point source and non-point source pollution sources in the drainage basin by utilizing the water quality parameters of the river obtained by the remote sensing image; establishing a river water quality prediction model; calculating the water environment capacity of each river reach under different surface water environment quality standards; comparing the estimated pollutant discharge amount with the water environment capacity under each water quality standard, and judging whether the pollutant discharge amount exceeds the capacity or not; and predicting future water quality change by using the model. According to the method, remote sensing, GIS and machine learning technologies are utilized, rapid analysis of the river segmented water environment capacity and accurate prediction of the water quality are achieved, dependence on a large amount of field sampling and complex software simulation is reduced, and the working efficiency is greatly improved.

The invention provides a coordination control method and device for off-grid new energy hydrogen production, electronic equipment and a medium, and relates to the technical field of new energy hydrogen production. The coordination control method for off-grid new energy hydrogen production comprises the following steps: performing first coordination control on off-grid new energy hydrogen production based on a steady-state control mode under the condition that the actually measured current frequency of a system is within an adjustment dead zone range; under the condition that the current frequency of the system is not in the adjustment dead zone range, performing second coordination control based on the transient state control mode; after the second coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, third coordination control is carried out on off-network new energy hydrogen production based on the emergency control mode; and after the third coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, determining a to-be-cut power value of off-grid new energy hydrogen production according to an overcut principle. According to the method, the load adjusting characteristic of the hydrogen production electrolytic cell is considered, source-load interaction is achieved, and the absorption rate of new energy is increased.

The invention discloses a tunnel construction quality evaluation system and method. The evaluation system comprises a data acquisition module, a quality evaluation standard system, an early warning and notification module and a data management module. Wherein the data acquisition module is used for acquiring construction vehicle data, construction site sensors and site photographing; the quality evaluation standard system comprises drilling quality evaluation, back break evaluation, primary support thickness evaluation, anchor rod construction quality evaluation, waterproof and drainage pipe quality evaluation, steel bar binding quality evaluation, secondary lining quality evaluation and primary support flatness evaluation; the early warning and notification module integrates early warning signals from all the evaluation modules; and the data management module is responsible for storing data generated by each independent module and executing cross-module data analysis. According to the tunnel construction quality evaluation system, by integrating advanced monitoring equipment, an automatic algorithm and comprehensive data analysis, the quality control effect in the tunnel construction process is remarkably improved.

The invention relates to a regulation and control method and system suitable for wastewater multistage purification of a green factory and a terminal, and belongs to the technical field of factory wastewater treatment.The regulation and control method comprises the steps that according to historical wastewater discharge data of the factory, the predicted total discharge amount of wastewater discharge of the day is predicted; generating a first expected water inflow of the wastewater multi-stage purification system according to the predicted total discharge amount; periodically acquiring the actual buffer capacity of the stored sewage discharged into the flow buffer pool by the factory on the same day; whether the actual buffering capacity exceeds one time of the first expected water inflow or not is judged; and if yes, controlling the sewage in the flow buffer pool to enter the wastewater multi-stage purification system at the first expected water inflow. The wastewater multi-stage purification system has the beneficial effects that the treatment capacity of the wastewater multi-stage purification system adapts to the discharge amount of sewage, so that the wastewater treatment effect of the wastewater multi-stage purification system is improved.

The invention discloses a water environment safety early warning method and system based on the Internet of Things, and relates to the technical field of water environment monitoring and safety alarming, and the main scheme is as follows: firstly, collecting water quality physical and chemical parameters and water quantity parameters of a current detection period, then respectively calculating each subentry index, and calculating the water quality index; comprising temperature, turbidity, conductivity index and the like obtained by physical parameters, dissolved oxygen, pH value, lead content index and the like obtained by chemical parameters, and water quantity index, so as to obtain water quality physical index, chemical index and water environment safety index, and then judge whether to trigger safety real-time alarm or not; and acquiring data of a previous cycle to calculate a historical water environment safety index and an index growth rate, and comparing with corresponding threshold values to judge whether to give a delayed alarm. According to the method, multi-parameter and multi-cycle data are integrated, a comprehensive and accurate judgment basis is provided for water environment safety monitoring, the monitoring accuracy and reliability are effectively improved, and the water environment safety is guaranteed.

The invention discloses an infrared screening automatic separator suitable for a discharging port, and relates to the technical field of material screening, the infrared screening automatic separator comprises a discharging inlet, a vibrating screen plate is connected to the upper end of the discharging inlet in an up-down sliding mode, and a screen hole abnormity detection mechanism is arranged between the vibrating screen plate and the discharging inlet; the screen hole anomaly detection mechanism is used for detecting the indentation degree of screen holes in the surface of the vibrating screen plate, the screen hole anomaly detection mechanism is provided with the movement limiting mechanism, the movement limiting mechanism is used for changing the screen hole detection track, and the real-time monitoring function reduces the screening efficiency reduction or the product quality problem caused by the screen hole problem of the vibrating screen plate; according to the sieve plate, the stability and reliability of the production process are ensured, the problems of the sieve holes can be found in time and repaired, further expansion and deterioration of the problems can be avoided, the complexity and cost of maintenance work are reduced, in addition, through regular monitoring and preventive maintenance, the service life of the sieve plate can be prolonged, and the overall maintenance cost can be reduced.

The invention provides a wind generating set blade interior inspection robot, and relates to the technical field of wind power generation, the wind generating set blade interior inspection robot comprises a robot body, the robot body is composed of a Mecanum wheel chassis, a robot tower bottom cabinet and a robot cabin cabinet, and the robot tower bottom cabinet is arranged at the top end of the Mecanum wheel chassis; a robot cabin cabinet is arranged at the top end of the robot tower bottom cabinet, and a monitoring sensing device is arranged on the outer side of the robot cabin cabinet. According to the invention, the monitoring sensing device is arranged, and the interior of the cabin of the generator set is effectively monitored by monitoring the operation of a sensor, so that the problems that the existing wind turbine generator inspection robot is mainly an unmanned aerial vehicle, and the appearance and blades of the wind turbine generator are monitored in the prior art are effectively improved; the problems that the interiors of the wind turbine generator blades cannot be continuously monitored in real time, and meanwhile, the interiors and important positions of the wind turbine generator blades cannot be monitored and daily maintenance requirements cannot be met are solved.

The invention discloses a shield forming tunnel form data processing system and method, and relates to the technical field of tunnel data processing. The shield forming tunnel form data processing method specifically comprises the following steps: S1, collecting and preprocessing data of a plurality of sections in a shield forming tunnel; s2, calculating the offset of the center of each segment; s3, continuously measuring and analyzing a deformation trend; s4, predicting offset change by using a linear regression model; s5, predicting the final offset of the duct piece by using the trained model; the removed abnormal values are recorded and analyzed, so that abnormal factors of segments in the tunnel can be screened, potential problems can be found and solved in time, further deterioration of the problems is prevented, and safety and stability of the tunnel are ensured; the deformation is calculated and the deformation trend is analyzed by using a time sequence, so that the deformation trend can be found in time, a subsequent detection plan can be formulated, the deformation problem can be found and processed in time through continuous monitoring, and the stability and the safety of the tunnel are ensured.

The invention discloses a coal mine dust concentration real-time monitoring method based on big data analysis, and relates to the technical field of coal mine dust concentration monitoring, and the method comprises the following steps: obtaining various parameter information generated in the data fusion process of a big data system in real time, including transient response information and time synchronization information, and analyzing and processing the obtained transient response information and the time synchronization information. According to the method, the transient deviation index and the phase error index are introduced, the data fusion process is intelligently evaluated in combination with the machine learning model, the error problem caused by the sensor response time difference is solved, and multi-level intelligent sensing is achieved. The system accurately judges the risk level, reduces false alarm and missing alarm, takes maintenance, adjustment or emergency intervention measures corresponding to different risks through a grading early warning mechanism, remarkably improves the coal mine monitoring safety, and reduces the accident risk.

The invention belongs to the technical field of biomedical treatment, and discloses a preparation method of immunomodulatory recombinant macrophage vesicles, and the preparation method specifically comprises the following steps: step 1, clinical sequencing of gingival tumor tissues and pathogenic microbiota data analysis; hybridizing and fusing a macrophage membrane infected by the porphyromonas gingivalis and an exosome membrane; and 3, constructing a piezoelectric driven ROS (reactive oxygen species) to generate the immunoregulation vesicles. The invention provides an innovative nano vesicle technology, and the technology shows double advantages in tumor treatment: firstly, accurate targeting and efficient killing of key porphyromonas gingivalis in a tumor environment are realized by constructing recombinant macrophage vesicles, and meanwhile, the stability of normal flora is kept, and tumor deterioration is prevented; and secondly, the anti-tumor immune response is obviously activated by utilizing the immunoregulation capability of the bacteria-induced macrophages and exosome vesicles thereof, including converting immunosuppressed M2 type macrophages into anti-tumor M1 type macrophages, so that the growth of solid tumors is effectively inhibited.

The invention relates to the technical field of sewage treatment, in particular to an intelligent operation management method and system for a water plant ultrafiltration membrane pool and a storage medium. The method comprises the steps that membrane pool operation parameters are obtained, multiple regression analysis is conducted on the membrane pool operation parameters, and transmembrane pressure differences corresponding to the membrane pool operation parameters are determined; the operating parameters of the membrane tank comprise inlet water quality, outlet water quality, water temperature and filtering pressure; when the transmembrane pressure difference is higher than the preset standard pressure difference, whether the current moment is in a preset emptying period or not is judged; if yes, carrying out cleaning operation based on the membrane pool operation parameters; and if not, obtaining a transmembrane pressure difference increase value in the first preset time period, and determining a coping intervention type based on the transmembrane pressure difference increase value, the coping intervention type including preventive intervention and immediate intervention. According to the invention, the balance between the cleaning and maintenance of the ultrafiltration membrane is conveniently improved, so that the continuous, efficient and stable operation of the water treatment process is ensured.

The invention discloses a fuming furnace smelting process control method and system, a terminal and a readable storage medium. The method comprises the following steps: constructing a normal association relationship among initial multi-source data in a stable operation state of a fuming furnace; collecting current multi-source data of the fuming furnace in a current operation state; identifying association deviation according to the normal association relationship and the current multi-source data; identifying an abnormal state according to the correlation deviation; and according to the abnormal state, the smelting area is finely controlled. According to the control method and system for the smelting process of the fuming furnace, the normal incidence relation among the multi-source data is constructed, the abnormal state can be recognized more accurately, then the smelting area is finely controlled, and therefore the control accuracy of the smelting process can be improved, unnecessary energy consumption and process fluctuation can be reduced, and the smelting process can be controlled more accurately. And meanwhile, local abnormity can be rapidly and effectively eliminated, further deterioration of the local abnormity is prevented, and automatic control over the smelting process of the fuming furnace can be achieved.

The invention provides a neodymium-iron-boron magnet and a preparation method and application thereof, and the preparation method comprises the following steps: preparing a neodymium-iron-boron melt-spun sheet from a magnet raw material, and then carrying out hydrogen demolishing treatment on the neodymium-iron-boron melt-spun sheet to obtain coarse powder; the hydrogen decrepitation treatment comprises a hydrogen absorption step and a dehydrogenation step which are carried out in sequence, and the dehydrogenation temperature is 250-350 DEG C; coating the coarse powder with an organic additive to obtain a coating material; and carrying out grinding, molding, sintering treatment and aging treatment on the coating material to obtain the neodymium-iron-boron magnet. According to the preparation method, the content of hydrogen in the coarse powder is controlled through an incomplete dehydrogenation process, so that the content of impurity elements in the magnet is reduced, degradation of the impurity elements on the magnetic performance is avoided, meanwhile, the problem that cracks are formed in the magnet in the sintering process due to the incomplete dehydrogenation process is avoided in cooperation with a multi-stage sintering process, and the quality of the magnet is improved. And a coating process is matched to protect the magnet, so that the problem that the magnet adsorbs impurities again in a subsequent treatment process is avoided.

The embodiment of the invention discloses a pre-examination triage method and equipment for child emergency treatment and a medium, and relates to the technical field of emergency treatment triage, the method comprises the following steps: obtaining multi-source treatment data of each emergency treatment child patient, so as to construct a current pre-examination triage data set corresponding to each emergency treatment child patient, and according to demographic information of the emergency treatment child patient, establishing a current pre-examination triage data set corresponding to each emergency treatment child patient; matching is carried out in a pre-constructed model library, and an age pre-examination intelligent triage model corresponding to each emergency treatment child patient is determined to generate initial triage grading information of each emergency treatment child patient; when the initial triage classification information is a non-endangered level, determining an affiliated emergency treatment area of each emergency treatment child patient, and collecting real-time waiting queue information; based on the real-time waiting queue information, determining predicted grading change trend information of each emergency treatment child patient; and by predicting the grading change trend information, the treatment area and the treatment sequence are adjusted in real time, and the real-time triage information of each emergency treatment child patient is determined.

The invention relates to an AC transient voltage regulation control method and system for a flexible DC system, and belongs to the field of flexible DC power transmission. When the AC voltage exceeds a normal operation range but does not enter an AC high-low voltage ride-through range, the system enters AC transient voltage regulation control, and upper and lower limit values of transient voltage regulation are used as voltage reference values of transient voltage regulation to obtain a reactive power reference value under the transient voltage regulation; adding the reactive power reference value in the alternating-current voltage mode and the reactive power reference value in the alternating-current voltage control mode to obtain a final reactive power reference value, and subtracting the reactive power reference value under transient voltage regulation from a set reactive power reference value in the reactive power control mode to obtain the final reactive power reference value. And finally, controlling the bridge arm voltage by using the final reactive power reference value. The reactive power can be dynamically adjusted in real time according to the upper and lower limit values of AC transient voltage regulation to suppress further deterioration of the AC voltage, and the stability of the system is improved.

The invention relates to the technical field of plastic waste recovery, and particularly discloses environment-friendly plastic recovery equipment which comprises a mounting base plate, a mounting support is fixedly mounted on the mounting base plate, a processing assembly is mounted on the upper portion of the mounting support, and an I-shaped connecting frame is fixed to the middle of the mounting support; a liquid transferring assembly is mounted on the side face of the I-shaped connecting frame, and a waste liquid storage tank matched with the end, away from the I-shaped connecting frame, of the liquid transferring assembly is arranged at the top of the mounting base plate. The treatment assembly is divided into a treatment tank shell and a liquid collection bottom cover which correspond to a first crushing blade and a second crushing blade correspondingly, small fragments sinking to the bottom can be further crushed, and therefore the crushing degree and effect of the device on plastic bottles are guaranteed; and residual waste liquid in the plastic bottle enters the waste liquid storage tank for storage through the liquid discharge pipe and the liquid transfer channel, so that the next recycling step of the fragments can be prevented from being slowed down, and the overall recycling efficiency is improved.

The invention belongs to the technical field of underground structure monitoring, and discloses a distributed underground structure safety monitoring system which comprises a distributed sensor network, a data processing center, data transmission, a panoramic camera, an AR / VR platform, image processing, a user terminal and sensor node comprehensive monitoring. Big data analysis and alarm are supported, a panoramic camera is combined with an AR / VR technology to provide immersive monitoring, efficient data transmission of a system and convenient interaction of a user terminal, multiple report formats and alarm notification modes are supported, sensor data are converted into visual images / videos through image processing and analysis, and three-dimensional visualization of an underground structure is achieved in combination with AR / VR. And moreover, an image recognition algorithm accurately recognizes abnormities, automatically compares safety standards, gives an alarm when finding hidden dangers, and pushes the hidden dangers to monitoring personnel in real time, so that quick response is assisted, and situation deterioration is prevented.

The invention belongs to the technical field of equipment detection and early warning, and discloses an equipment detection and early warning system and device.The equipment detection and early warning system comprises the steps that historical data of oil storage equipment are collected; processing the historical data, and analyzing the processed historical data to obtain a risk value of the oil storage equipment; constructing an early warning evaluation model of the oil storage equipment in combination with the historical data and the neural network model, and obtaining an early warning evaluation value of the oil storage equipment by using the early warning evaluation model; calculating a comprehensive hidden danger value of the oil storage equipment based on the risk value and the early warning evaluation value, and judging whether the oil storage equipment has potential safety hazards or not according to the comprehensive hidden danger value; and generating an early warning prompt according to a potential safety hazard judgment result, feeding back the generated early warning prompt to related personnel, and instructing the related personnel to maintain the oil storage equipment. According to the invention, through the risk value and the early warning evaluation value, potential faults or problems can be effectively predicted, early warning is realized, and accidents are reduced.

The invention discloses an enterprise safety production joint control information management system, which relates to the technical field of production joint control information management and comprises a collection module, a data processing module, a safety management module and a response module. And selectable. According to the invention, dynamic assessment of the safety risk is realized, intelligent early warning is carried out according to the change trend and severity of the risk, the accuracy and timeliness of early warning are improved, quantitative analysis of the degree of dispersion of the safety risk is realized, a scientific basis is provided for emergency response, rapid response and intelligent scheduling are realized, the accident processing efficiency is improved, and the safety risk is protected. According to the method and the system, the real-time monitoring of the wind speed and the flow velocity data is realized, the quantitative evaluation of the emergency response capability is realized, accurate guidance is provided for the formulation and implementation of emergency measures, the accuracy and effectiveness of emergency processing are improved, dynamic early warning and accurate positioning of a risk source can be realized by using the real-time monitored wind speed and flow velocity data, and the accuracy and timeliness of early warning are improved.

The invention relates to application of Sirt1 in preparation of products for diagnosis, prognosis or treatment of steroid-induced femoral head necrosis, and belongs to the technical field of biotechnology and medicine. It is found that Sirt1 participates in dexamethasone-induced osteoblast ferroptosis, differential expression of Sirt1 can significantly affect the degree of dexamethasone-induced osteoblast ferroptosis, and occurrence of the steroid-induced femoral head necrosis phenomenon is prompted. The invention provides application of Sirt1 as a marker molecule for diagnosing steroid-induced femoral head necrosis in preparation of a reagent for diagnosing or screening steroid-induced femoral head necrosis, and provides application of an expression promoter of Sirt1 in preparation of a medicine for treating steroid-induced femoral head necrosis.

The embodiment of the invention provides a range hood control method and a related device, the range hood control method is applied to a control unit of a range hood, and the range hood further comprises a machine body, a kitchen range, a suction unit and a sensing unit; the stove is arranged on the top surface of the machine body, and the suction unit comprises a fan assembly, an air pipe assembly, a smoke inlet assembly and a lifting assembly; the smoke inlet assembly, the fan assembly and the air pipe assembly are sequentially communicated and connected; the lifting assembly is used for driving the smoke inlet assembly to stretch out of the top face of the machine body or retract into the machine body. The sensing unit is arranged in a set range of the cooker and used for detecting environment data. The method comprises the following steps: when the stove is started, controlling a smoke inlet assembly to move to a first set height, controlling a fan assembly to operate at a first gear, and starting a sensing unit; in the operation process of the kitchen range, the height of the smoke inlet assembly and the working gear of the fan assembly are controlled according to environment data detected by the sensing unit.

The invention discloses salt-corrosion-resistant epoxy resin modified concrete and a preparation method thereof.According to the epoxy resin modified concrete, the surface of an inorganic material is treated through a silane coupling agent, the interface bonding force among cement, sand, stone and an epoxy resin matrix is improved, and the adhesion and structural stability of the material are ensured; meanwhile, by introducing an epoxy resin toughening technology, the flexibility and crack resistance of a resin matrix are enhanced, so that the resin matrix can cope with temperature difference change and mechanical impact in a marine environment; besides, through the synergistic effect of graphene oxide and nano silicon dioxide, the compactness and barrier performance of the concrete are further improved, permeation paths of water and chloride ions are reduced, corrosion of steel bars and deterioration of the concrete are effectively prevented, the material is endowed with excellent corrosion resistance, the wear resistance and mechanical strength of the material are remarkably improved, and the service life of the material is prolonged. Therefore, the service life of the concrete in a severe environment is prolonged.

A battery system is provided that can suppress degradation as much as possible with a lightweight and low-cost battery structure while avoiding a significant drop in battery voltage. The battery system disclosed herein includes: a battery pack comprising a first battery group and a second battery group, the first battery group being composed of multiple cells connected in series, and the second battery group being composed of a different number of cells connected in series than the first battery group, and setting the voltage value of the first battery group in a low SOC state as an upper limit voltage; a switching mechanism capable of switching at least to a first connection mode connecting the first battery group to a load, or a second connection mode connecting the first battery group and the second battery group in parallel to the load; and a battery control device that controls the switching mechanism, wherein when the first battery group is in a low SOC state, the battery control device switches from the first connection mode to the second connection mode via the switching mechanism.

Provided is an image processing method for extracting a subject from an image including the subject using a background image, the image processing method including: generating a background removed image obtained by removing a background region not including the subject in the image from the image; compressing the background removed image; transmitting the background removed image compressed via a network; receiving the background removed image compressed via the network; decoding the background removed image compressed and received; generating a restored image by synthesizing the background removed image decoded and the background image; and comparing the restored image with the background image to extract the subject.

The present application relates to a display device, a light emitting device and an illumination device. The light emitting device can efficiently emit light with high consistency. The light emitting device includes a light source, a wavelength conversion unit and a wall member. The light source is arranged on a substrate. The wavelength conversion unit includes a wavelength conversion member and a transparent member, and the transparent member contains the wavelength conversion member therein. The wavelength conversion member is arranged to face the light source in the thickness direction and convert the first wavelength light from the light source into the second wavelength light. The wall member is arranged on the substrate and surrounds the light source in a plane orthogonal to the thickness direction. The area occupied by the wavelength conversion member is wider than the area surrounded by the wall member and overlaps with the entire area surrounded by the wall member in the thickness direction.

The invention belongs to the technical field of separation, and particularly relates to a device with a rotary cylindrical filtering surface, in particular to an intelligent fishery water circulation device, circulation control system and control method.The intelligent fishery water circulation device comprises a bin body, and a partition plate is arranged in the bin body to divide the interior of the bin body into a first area and a second area; a filter cartridge is rotationally arranged in the first area and is suitable for filtering impurities in liquid entering the first area; wherein the filter cartridge comprises a plurality of circular rings; the circular rings are arranged at equal intervals so that impurities can be filtered out when liquid passes through the gaps between the circular rings. When the filter cylinder rotates, all the circular rings rotate synchronously, so that fish culture water is pumped out and then filtered, fish excrement in the fish culture water is filtered out, the influence of excessive fish excrement on the culture water is avoided, the deterioration of the culture water is avoided, and the rotating filter cylinder can avoid the accumulation of the fish excrement and avoid the influence on the filtering effect.

The invention discloses a method for dynamically monitoring the psychological health state of college students through side-writing data, and the method comprises the following steps: firstly, carrying out the feature extraction and word vector conversion of the side-writing data and common college student psychological health problems, measuring the similarity of quantized feature words through a clustering method and a cosine distance, and determining a clustering center point; and a K value of clustering is determined. Secondly, according to factors such as social criticality, disease incidence, importance degree and the like, sequencing and weighting the quantized feature words, finally, assigning scores to the extracted features in combination with weights, and setting a quantification standard in a threshold theory;