191results about How to "Guarantee running stability" patented technology

The invention discloses a rotor surface magnetic field characteristic real-time monitoring and damage assessment system and method, and relates to the technical field of damage assessment. According to the method, a rotor surface magnetic field is monitored in real time under different rotating speed conditions, detailed magnetic field change data information is collected, the monitoring means can dynamically capture the magnetic field fluctuation condition, and the damage assessment accuracy is improved. According to the method, the damage prediction model is constructed by using the deep learning technology, the relevance between the damage prediction model and the rotating speed of the rotor is analyzed, early detection and classified evaluation of the unbalance condition are ensured, accurate data support is provided for further damage analysis, and accurate evaluation of the surface damage of the rotor is realized by using the deep learning technology to construct the damage prediction model and combining the unbalance type and the magnetic field change data. Meanwhile, the damage evaluation index is subjected to linear normalization processing, the influence between different data dimensions can be eliminated, and the evaluation result is more stable and reliable. And whether the damage state of the rotor surface is abnormal or not is judged in time by comparing and analyzing the damage evaluation index and a threshold value.

The invention relates to the field of flight simulation, and discloses a multi-degree-of-freedom motion control method for flight driving rocker and accelerator simulation, which comprises the following steps: receiving attitude data from flight simulation software in real time, constructing a rotation matrix based on the attitude data, and calculating displacement data of platform angular points; the target stroke of the linear electric cylinders is calculated in combination with the displacement data, and the target stroke is optimized, so that movement of the multiple electric cylinders is coordinated, and the mechanical stroke range of the electric cylinders is met; meanwhile, dynamic feedback data including vibration feedback and damping feedback are generated based on the flight environment parameters, the dynamic feedback data are superposed into the control instruction, and an electric cylinder is driven to adjust the attitude of the platform; the platform motion state is detected and updated in real time through a closed-loop control system, and it is ensured that platform motion and a flight simulation software scene are highly synchronized. The system has the advantages of high-precision attitude control, real-time dynamic response and good system stability, can adapt to various flight simulation scenes, and provides real flight simulation experience.

The invention provides an air compressor monitoring method and system, and the method comprises the following steps: S1, installing a sensor at a designated position; s2, collecting sensor data at different positions; s3, analyzing and judging the data acquired in the step S2; s4, analyzing the data measured in the step S3; s5, the system gives an alarm and reminds fault information; s6, the air compressor is shut down to be overhauled; and S7, ending monitoring. The first data unit and the second data unit are arranged, the first data unit and the second data unit which are used for collecting the positions of main components of the air compressor are monitored, and when temperature and pressure data of the first data unit are abnormal, analysis and judgment are carried out by combining voice data of the second data unit; and the accuracy of judging the fault part is improved. Besides, under the condition that the voice data are normal, the fault part is adjusted and then judged, and therefore the situation that the air compressor is damaged due to the fact that the part breaks down and is not processed is avoided.

The invention discloses an inertia and damping coefficient detection method, system and device of power electronic equipment, and relates to the technical field of power electronics, and the method comprises the steps: obtaining the AC voltage and AC current of to-be-detected power electronic equipment in real time; determining a frequency and a frequency change rate based on the AC voltage; determining active power based on the AC voltage and the AC current; generating a disturbance signal based on the frequency, the active power, the AC voltage or the AC current; when the disturbance signal is 0, no processing is carried out; when the disturbance signal is 1, obtaining a frequency vector, a frequency change rate vector and an active power vector during disturbance based on the frequency, the frequency change rate and the active power; and based on the frequency vector, the frequency change rate vector and the active power vector, determining an inertia coefficient and a damping coefficient of the to-be-tested power electronic equipment. The inertia and damping coefficient of the power electronic equipment can be accurately detected on line in real time, so that the dynamic behavior of the power electronic equipment can be reflected more comprehensively.

The filter comprises trundles, the trundles are symmetrically arranged on a main water tank, a washing support is fixedly connected to the main water tank, a washing motor is fixedly connected to the washing support, the output end of the washing motor is fixedly connected to a washing water pump, and the output end of the washing motor is fixedly connected to the washing water pump. The flushing water pump is fixedly connected to the flushing bracket; according to the invention, after primary filtration by the magnet filter, large-particle impurities are secondarily filtered by the water tank filter screen, and third-stage fine filtration is carried out by the filter element, so that the purity of the cutting fluid is improved, and the temperature can be constant in a set temperature range under the action of the coil immersion type water cooling machine; the water cooling machine coil pipe can make the grinding liquid reach the set temperature more quickly, the filtering precision is high, and constant-temperature control over the grinding liquid can be achieved; the smudginess condition of the filter element is automatically monitored through the pressure gauge, and the filter element can be automatically and efficiently cleaned, so that the operation stability of the equipment is guaranteed.

The invention relates to the technical field of warp knitting machine control, in particular to a carbon fiber warp knitting machine operation method based on the Internet of Things, which comprises the following steps: determining a knitting control state of a warp knitting machine, determining an initial knitting speed and matching a traction speed according to the initial knitting speed; determining a central area and an edge area of the braided fabric according to the raw material diameter of the carbon fiber raw material and the target fabric density; determining the motion trails of the warp knitting needle and the sinker in the knitting process so as to determine the equipment characterization state of the warp knitting machine; determining whether the warp knitting machine acquires a surface image of the braided fabric or not according to the equipment characterization state; acquiring a surface image of the braided fabric at each preset time node to determine a density characterization trend of the braided fabric; determining an operation characterization trend according to the density characterization trend to determine whether to adjust the initial knitting speed; according to the center flat state and the fabric edge state, the operation characterization trend is secondarily determined so as to determine whether to adjust the traction speed or not. Therefore, linkage among links of monitoring equipment, controlling the quality of braided fabric and optimizing the production process is realized.

The invention provides a dual-mode switching control method, device and equipment for flexible direct output of a new energy power generation cluster based on impedance self-adaption, relates to the field of new energy power generation, and aims to control an inverter to be switched between a network following mode and a network constructing mode. Comprising the following steps: setting an initial mode of inverter operation and model switching boundary values # imgabs0 # and # imgabs1 #; obtaining the equivalent impedance # imgabs2 # of the flexible direct current system after the inverter operates in the following network mode; whether # imgabs3 # is met or not is determined; if yes, re-executing the operation of the inverter in the following network type mode to obtain the equivalent impedance # imgabs4 #; if not, the inverter is controlled to be switched from a network-following mode to a network-constructing mode; obtaining the equivalent impedance # imgabs5 # of the flexible direct current system after the inverter operates in the network construction mode; whether # imgabs6 # is met or not is determined; if yes, the inverter is executed again to operate in the network construction mode, and then the equivalent impedance # imgabs7 # of the flexible direct current system is obtained; if not, the inverter is controlled to be switched from a network construction type mode to a network following type mode; and re-executing the operation of the inverter in the following network mode to obtain the equivalent impedance # imgabs8 # of the flexible direct current system, and controlling the inverter to continue to operate.

The embodiment of the invention discloses a chemical equipment fault diagnosis and maintenance system, and belongs to the technical field of equipment monitoring, and the system comprises an equipment monitoring module which is installed on equipment and is used for monitoring and reading various data during the operation of the equipment; the data acquisition module is used for acquiring the equipment operation data monitored and read by the equipment monitoring module, and compressing, filtering and uploading the acquired data; and the monitoring diagnosis module is used for receiving the equipment operation data uploaded by the data acquisition module, performing fault diagnosis on the data, and performing fault maintenance on target equipment according to a fault diagnosis result. According to the embodiment of the invention, the cost can be reduced, the equipment reliability can be improved, and online monitoring, real-time fault alarm and hidden danger prediction reminding of the equipment are realized; and the influence of sensor errors on fault diagnosis is reduced.

The invention provides an alternating current porcelain insulator and a preparation method thereof, raw materials in a specific proportion are adopted to prepare a green body, and the green body comprises modified kaolin, nano zirconium boride, hexagonal boron nitride, rare earth doped zirconium silicate, a composite binder and a fluxing agent. The green body is of an umbrella skirt structure and is provided with 3-5 umbrella skirts, the height difference of the adjacent umbrella skirts is gradually increased, and chamfers are arranged on the edges. Wherein the modified kaolin is subjected to specific modification treatment, and the rare earth doped zirconium silicate is obtained through high-temperature calcination, so that the insulating property is enhanced. And the composite binder and the fluxing agent are used for optimizing the green body forming performance and reducing the sintering temperature respectively. The preparation method comprises the steps of mixed pulping, iron removal, granulation forming and surface treatment, ultrasonic concussion is adopted in the mixed pulping process to promote uniform mixing, magnetic separation is conducted twice in the iron removal process, a cold isostatic pressing technology is adopted in granulation forming, and the finally obtained product has optimized mechanical strength and insulation performance and is suitable for an alternating current system. And the cable can bear severe weather conditions and mechanical stress.

The invention discloses a method and a system for monitoring pressure abnormity of a fuel oil common rail pipe of a marine main engine. The method comprises the following steps: acquiring historical operation parameter data and constructing a data set; the historical operation parameter data comprises historical host load data, historical host rotating speed data and historical fuel oil common rail pressure data; historical operation parameter data are preprocessed, an SVDD model is constructed and trained based on the historical operation parameter data, the model obtains a historical normal data hyper-sphere in a three-dimensional feature space, and the center and the radius of the hyper-sphere are obtained; similarly, real-time operation parameter data collected in real time are preprocessed and then input into the model, the distance between the real-time operation parameter data and the center of the hypersphere is obtained, and the value of the distance is compared with the value of the radius of the hypersphere in historical normal data; and when the numerical value of the distance is large, it is judged that the real-time operation parameter data is within an abnormal range, the fuel oil common rail pressure of the ship main engine is in an abnormal state, and an alarm signal is triggered. The method has the effect of low error rate.

The invention relates to a linear guide rail cooling method, device and equipment applied to a machine tool and a storage medium. The method comprises the steps that linear guide rail temperature data are obtained in real time, the linear guide rail temperature data are analyzed based on a fuzzy logic control algorithm, the linear guide rail temperature change trend is obtained, and the temperature threshold value of a cooling system is dynamically adjusted according to the linear guide rail temperature change trend; under the condition that the linear rail temperature data exceed a preset temperature threshold value, the output power of a compressor is dynamically adjusted for preliminary heat dissipation, and the cooling process is optimized through the self-adaptive refrigerant flow speed control technology; and the machine tool coincidence state is obtained, under the condition that the machine tool load state is reduced to the preset machine tool load and / or the linear guide rail temperature data is reduced to the temperature stable value, the future cooling requirement is analyzed through a preset temperature prediction algorithm, and the output power of the compressor is adjusted in advance according to the future cooling requirement. The cooling device has the effect of improving the cooling efficiency of the machine tool linear rail.

The invention discloses a material for synergistically producing water and generating electricity based on interface evaporation and a preparation method and application thereof.The preparation method comprises the steps that foamed nickel processed through laser serves as a substrate, selenium powder serves as a main raw material, ethylene glycol and ethylenediamine serve as main solvents, the solvent concentration and the adding amount of the selenium powder are controlled, and foamed nickel / nickel selenide is synthesized through a solvothermal method; then hexadecyl trimethoxy silane is sprayed on the upper layer, vacuum drying is conducted, then the material with the Janus structure is prepared, the wettability of the upper surface and the wettability of the lower surface of the material are different, and the material is combined with a thermoelectric power generation module so that electricity can be generated synchronously while water is generated. The Janus foamed nickel / nickel selenide not only can perform seawater desalination through interface evaporation, but also can combine a sample with a TE module in a wet state, and the sample receives sunlight heat and transfers the sunlight heat to the upper surface of the TE module, so that temperature difference is generated on the upper surface and the lower surface of the module to perform thermoelectric power generation.

The utility model provides a high-load rotating shaft, which comprises a stretching corrugated cover body arranged outside a rotating shaft body, the stretching corrugated cover body comprises a plurality of corrugated single ring bodies, the plurality of corrugated single ring bodies are stacked up and down, and the plurality of corrugated single ring bodies are enlarged at equal intervals from front to back. The ends, close to each other, of every two adjacent corrugated single ring bodies are fixedly connected with a plurality of circular sheet bodies, the circular sheet bodies are annularly arranged at equal intervals, an auxiliary spring is fixedly connected between every two vertically-corresponding circular sheet bodies, the inner ends of the corrugated single ring bodies are fixedly connected with inner ring connecting pieces, and the outer ring connecting pieces are fixedly connected with outer ring connecting pieces. According to the scheme, the plurality of wafer bodies are additionally arranged at the adjacent positions of the corrugated single ring bodies of the stretching corrugated cover body, and the auxiliary springs in the plurality of wafer bodies can bear the stretching strength between the two adjacent corrugated single ring bodies, so that the connecting positions of the corrugated single ring bodies of the stretching corrugated cover body are not prone to being damaged quickly; and the protection efficiency of the stretching corrugated cover body outside the rotating shaft body can be guaranteed.

The invention provides a bogie structure suitable for a severe environment and an air rail system.The bogie structure comprises a bogie, the lower end of the bogie is used for being hinged to a vehicle body, a side rolling stop is arranged on the bogie and used for limiting and buffering the side rolling angle of the vehicle body, and a motor frame is arranged above the bogie; the motor frame is vertically and movably connected with the bogie, an elastic vertical stopper is arranged between the bogie and the motor frame, the acting force of the vehicle body on the side rolling stopper is transmitted to the motor frame through the vertical stopper, positioning wheels are arranged at the two ends of the motor frame, the positioning wheels are used for abutting against a track beam, and the positioning wheels are used for transmitting the acting force on the motor frame to the track beam. The side rolling motion of a vehicle body is released, the side wind moment is balanced through the vehicle gravitational moment, the wheel load shedding rate of the bogie is reduced, meanwhile, the side rolling backstop, the vertical backstop and the positioning wheels are arranged, the side rolling angle is limited, the bogie can be prevented from overturning, and the structural reliability is guaranteed.

This utility model relates to the field of grinding technology, specifically to a hydraulic vertical pressure plate grinding mill. It includes a base and a housing mounted on the base. A lower grinding disc is rotatably supported within the housing, and an upper grinding disc is positioned above it. Grinding balls are placed between the lower and upper grinding discs. Annular grooves are provided on the contact surfaces of both the lower and upper grinding discs opposite the grinding balls. A pressure plate is positioned above the upper grinding disc. A hydraulic mechanism for applying pressure to the pressure plate is provided on the housing. A turntable is positioned below the lower grinding disc. The turntable and lower grinding disc are positioned and fitted together, ensuring that the lower grinding disc rotates with the turntable. The turntable is rotatably supported by a transmission assembly, which includes a main shaft. The top end of the main shaft is fixedly connected to the turntable, and the main shaft is mounted on a positioning support assembly. An analyzer is located at the top of the housing. This hydraulic vertical pressure plate grinding mill has the advantages of compact structure, stable operation, and high grinding efficiency, and is suitable for grinding various materials.

This invention discloses a telescope lens processing device, specifically relating to the field of telescope manufacturing technology. It includes a processing table, with a processing component fixedly connected to its upper end and a transfer component fixedly connected to its upper part. A receiving tray is fixedly connected to the bottom of the processing table, and a control console is fixedly connected to the left side of the processing component. This telescope lens processing device achieves stable bearing and automated transfer of the lens through the cooperation of the processing table, processing component, and transfer component. The cooperation of the housing, grinding component, and unloading component ensures the stable installation of the processed parts. The combination of hydraulic rods, motors, and a coarse grinding head accommodates the grinding needs of lenses of different thicknesses. The replaceable coarse grinding head enhances the device's versatility. The receiving tray collects processing debris and finished lenses, avoiding environmental pollution, reducing manual labor intensity, improving processing accuracy and work efficiency, and ensuring the stability of the device's operation.

The present application relates to the technical field of aquaculture monitoring, in particular to a method and system for multi-modal data fusion and identification of drainage pipe network, comprising the following steps: obtaining water quality electrical signals by using a sensor and performing three-layer discrete wavelet denoising reconstruction to generate a pure sequence, constructing a multi-dimensional environmental state matrix and assigning weights to form a weighted tensor, using a long short-term memory network to analyze time sequence characteristics and calculate an abnormal probability score, generating an alarm instruction based on a dynamic threshold comparison result and pushing a geographic coordinate. In the present application, by establishing a multi-source data space-time correlation mapping logic, clustering analysis is performed on the fusion of dissolved oxygen content and temperature and pH characteristic vectors, data noise generated by sensor hardware bias is eliminated, a dynamic evolution trend prediction model is constructed to calculate environmental safety weights in real time, multi-dimensional risk index collaborative research and judgment are realized, and the abnormal state triggering feedback cycle is shortened.

The invention belongs to the technical field of freight unmanned aerial vehicle delivery, and relates to an intelligent cabin door system for an unmanned aerial vehicle and a cabin door structure design method. The system comprises a driving system, a reel system, a curtain plate system, a sliding rail unit and a control unit. The control unit is electrically connected with the driving system; the driving system is arranged on the unmanned aerial vehicle body; the curtain plate system is connected with an unmanned aerial vehicle body through the sliding rail unit, the curtain plate system is connected with the reel system, the driving system is in transmission connection with the reel system through a chain wheel transmission structure, and the driving system drives the reel system to rotate so as to drive the curtain plate system to stretch or retract along the sliding rail unit. Opening and closing of the cabin door are realized. According to the invention, the number of moving parts is greatly reduced, the probability of clamping stagnation and wear failure of a mechanical transmission mechanism is fundamentally reduced, and the operation reliability of a cabin door system in harsh operation scenes such as emergency logistics and disaster rescue is remarkably improved.

The invention relates to the technical field of fan control and discloses a fan control method and system based on sensor data analysis and a storage medium, and the method comprises the steps that fan control data are obtained through an input module, and rotating speed data are extracted and displayed; pWM signals are calculated according to the rotating speed data and the fan attribute data, and the rotating speed of the fan is controlled; a speed sensor collects feedback signals and converts the feedback signals into rotating speed feedback data; matching the rotating speed feedback data with the rotating speed data, if not, displaying early warning, otherwise, displaying the feedback data; and calculating a differential absolute value, and adjusting an early warning flicker frequency or giving an alarm according to comparison with a first reference value. The system comprises a control module, a power supply module, an input module, a fan module, a driving module, a display module and a sound module. The storage medium stores computer programs and implements the method steps when being executed. According to the method, closed-loop control and self-adaptive adjustment of the fan are achieved, the rotating speed and heat dissipation requirements are dynamically matched, and the equipment operation stability is improved.

The invention relates to a clock error measurement method and system based on message step-by-step relay, and the method comprises the steps: a clock device sends a clock error query message to a tested device, and the tested device carries out the configuration in order to form a step-by-step relay transmission network; the first tested equipment in the step-by-step relay transmission network sends reply messages containing clock difference data to the second tested equipment in sequence; other tested devices except the first tested device and the last tested device send reply messages to the next tested device in sequence, wherein the reply messages comprise the received content of the reply messages sent by the last device and clock difference data of the reply messages; the last tested device sends a reply message containing the content of the received reply message and the clock difference data of the last tested device to the clock device; and the clock device sequentially analyzes the received reply messages to correspondingly obtain the clock difference data of all the tested equipment in the step-by-step relay transmission network. The invention can reduce the quantity of messages received by the clock device.

The application provides a global optimization method of an air conditioning system and a storage medium, and relates to the technical field of intelligent control of air conditioning systems. The application first screens target variables through global sensitivity analysis and generates high-quality training data. Then, the grid search is used to optimize the hyperparameters and verify the generalization ability. Then, the multi-class global optimization algorithm is used to optimize the optimization variables and extract performance data. Based on multi-dimensional trade-off analysis, the target combination of the model and the algorithm is determined to achieve the collaborative optimization of the prediction accuracy, optimization accuracy and optimization speed. Finally, the target combination is embedded in the global optimization architecture and combined with the interference factor prediction value to output the set value, ensuring that the optimization scheme can dynamically adapt to environmental and load changes, significantly reducing the total energy consumption of the air conditioning system, while ensuring the system operation stability and indoor thermal comfort, and realizing the global optimal operation effect.

The invention relates to a transformer closing excitation inrush current suppression device of a power supply and distribution circuit system. Wherein the branch switch is arranged on a branch led out of a low-voltage side bus of a power grid system and serves as a main switch of the branch. The boosting transformer and the branch switch are located on the same branch, and the high-voltage winding side of the boosting transformer is connected to the wire outlet side of the branch switch. The closing inrush current suppression device and the branch switch are located on the same branch, and the outgoing line side of the closing inrush current suppression device is connected to the low-voltage winding side of the boosting transformer. Through the branch circuit formed by the branch switch, the boosting transformer, the closing inrush current suppression device and the power generation equipment, the original direct closing of the main transformer and the generation of the excitation inrush current are converted into the excitation inrush current generated when the branch circuit completes the closing and opening operation. Therefore, the magnitude of the impulse current formed on the low-voltage winding side of the main transformer depends on the maximum allowable working condition of the power generation equipment side, and the rated current of the power generation equipment is far smaller than the rated current of the low-voltage winding side of the main transformer, so that the peak value of the excitation surge current is clamped.

The invention relates to the technical field of oil delivery, in particular to an oil delivery pipeline valve and a pipeline leakage emergency system.The oil delivery pipeline valve comprises a valve body, a valve seat, a gate plate, a valve deck, a sealing assembly, a valve rod and a worm and gear speed reducing motor, the worm and gear speed reducing motor is electrically connected with the pipeline sealing emergency system, and a gap is formed between the gate plate and the end face of the valve seat; a pushing device for pushing the two gate plates to move horizontally is arranged at the lower end of the valve rod; the gate plate is connected to the bottom of the valve rod through the pushing device, the gaps exist between the working face of the gate plate and the oil inlet and the oil outlet, and the gate plate is horizontally pushed through the pushing device in the downward movement process of the valve rod so that the gate plate can be attached to the oil inlet and the oil outlet; in this way, friction between the working face of the flashboard and the end faces of the oil inlet and the oil outlet is reduced, and the problem that the sealing face of the gate valve is prone to abrasion in the opening and closing process of the gate valve is solved.

This invention discloses a method for detecting the health status of a new energy vehicle power supply, belonging to the field of power supply technology. The invention first extracts abnormal current signals from the phase line current signals of the three-phase inverter of the new energy vehicle power supply at different scale windows. It then extracts amplitude dispersion values ​​from the frequency domain, calculates the three-phase frequency domain cumulative values, generates frequency domain amplitude dispersion weights, and constructs a multi-scale frequency domain feature matrix and weight matrix. Next, it extracts effective abrupt change values ​​from the time domain, calculates the three-phase time domain cumulative values, generates time domain abrupt change weights, and constructs a multi-scale time domain feature matrix and weight matrix. Finally, it fuses the feature matrix and weight matrix of the same dimension, inputs them into a fault detection neural network for processing, and outputs the power supply health status. This invention improves the sensitivity and accuracy of early power supply fault identification, effectively reducing the probability of false positives and false negatives.

The invention relates to the field of flow battery energy storage, in particular to a flow battery energy storage system and a control method.The flow battery energy storage system comprises an energy storage unit and a control management unit, and the control method of the energy storage system comprises the following steps that S1, the system is initialized and calibrated; s2, collecting and preprocessing multi-field coupling data; s3, trend prediction and target calculation; s4, hierarchical prediction cooperative regulation and control; s5, heat management and activity collaborative optimization; s6, full life cycle health monitoring and protection; and S7, carrying out model iteration and strategy optimization. According to the method, the electrolyte activity prediction model is constructed, the prediction regulation and control layer executes advance parameter adjustment, the problem of parameter matching lag caused by postmortem response in the traditional technology is thoroughly solved, and the system always adapts to the operation requirement in advance.

The utility model discloses a self-cleaning intelligent temperature control fresh air system of a prefabricated cabin, which belongs to the technical field of temperature control air exhaust and comprises a fresh air supply module and an axial flow air exhaust module which are arranged in the prefabricated cabin and communicated with an inner cabin of the prefabricated cabin through air ducts. The axial flow air exhaust module and the fresh air supply module are oppositely arranged on the two sides of the prefabricated cabin, a temperature control probe used for monitoring the temperature in the prefabricated cabin is further arranged in the prefabricated cabin, the temperature control probe, the fresh air supply module and the axial flow air exhaust module are all connected with the PLC host, and the axial flow air exhaust module comprises a plurality of axial flow air exhaust fans arranged in parallel. The fresh air supply module comprises a first fresh air supply machine and a second fresh air supply machine which are arranged in parallel, the fresh air supply module and the axial flow air exhaust module can work independently, and by arranging a fresh air self-cleaning air supply system and an air exhaust axial flow fan, the temperature in the cabin body is reduced through air circulation.

This utility model belongs to the field of sludge filtration technology and discloses a dynamic sludge filtration device, including a housing. A filtration unit and a discharge unit are connected to the outside of the housing via a rotating motor and a discharge motor, respectively. The filtration unit and discharge unit are located inside the housing. A water pumping unit is located at the top of the housing and connected to the water pumping unit via a filtration water pumping pipe. The discharge unit is located at the bottom of the filtration unit and the water pumping unit. This utility model can increase the sludge contact area and filtration area, allowing liquid to penetrate into the filter housing more quickly. Combined with the rotating water pumping component, the liquid is promptly extracted, improving the speed and efficiency of sludge dewatering and shortening the processing cycle. The rotating motor drives a rotating rod, which in turn causes the filter housing to rotate within the sludge. Dewatering is achieved using the principle of free liquid permeation. Compared to traditional methods that rely on strong external force for dewatering, this effectively reduces the moisture content of the filter cake and significantly reduces energy consumption.

The invention discloses an intelligent vibrating wire sensor measurement method with self-identification of serial numbers and temperature compensation, and relates to the technical field of intelligent sensor measurement, and the method comprises the specific steps: configuring various modules for intelligent vibrating wire sensor nodes, and distributing unique serial numbers; after the nodes are started, a dynamic micro-cluster is established; selecting a main node in the micro cluster to construct a local three-dimensional temperature field model and synchronizing; performing temperature data error correction by each node according to the data; and finally, outputting the corrected temperature measurement data marked by the self-identification number by each node, and determining the data affiliation node. According to the invention, unique numbers are distributed for nodes to solve data affiliation chaos; dynamically building a micro cluster and electing a main node to guarantee stable operation; a local three-dimensional temperature field model is built based on the cluster, and the traditional limitation is broken; error types are accurately distinguished and differentiated compensation is carried out, comprehensive correction is carried out in combination with multiple calibration parameters, data additional check codes are output, and transmission completeness is ensured.

The invention provides an automatic operation and maintenance scheduling system and method in a cloud computing environment. The method comprises the following steps: predicting a load demand curve through historical load time sequence data and real-time load indexes of an online service cluster; generating an arbitration decision of resource operation and maintenance scheduling according to the simulated resource occupation contour of the online service cluster constructed by the load demand curve and the resource request queue corresponding to the offline task cluster; issuing a reserved resource permission to the second control ring by the arbitration decision, and injecting a virtual node resource view complementary with the reserved resource permission in time and space into the first control ring; and when the real-time load index triggers the first control ring to perform resource scaling operation, the first control ring executes instance scaling in a resource boundary limited by the virtual node resource view, and the second control ring starts and stops the offline task instance in the corresponding resource block according to the current reserved resource permission. According to the technical scheme provided by the invention, collaborative scheduling of operation and maintenance of the online service cluster and the offline task cluster can be realized under load fluctuation.