1864results about How to "Improve regulation efficiency" patented technology

The invention discloses a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate in combination with a space-time diagram neural network and reinforced learning, and relates to a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate. The method comprises the following steps of: 1, collecting and cleaning data; 2, constructing a graph data set; 3, training the ST-GNN model; 4, constructing a deep Q reinforcement learning model; 5, the trained ST-GNN model is embedded into an automatic control system of a sewage treatment plant, and the model outputs the optimal aeration rate of the current time step and predicts the micro-aerobic hydrolytic acidification effect through interaction of the current working condition and historical data; and adjusting operation parameters of aeration equipment according to the output of the model, and carrying out hydrolytic acidification treatment. The method is high in regulation and control efficiency and low in operation error, and can be applied to the field of digital and intelligent management of sewage treatment plants.

The invention discloses a hydraulic pressure test tube machine and a tube body clamping centering device, in the tube body clamping centering device, two guide rods and a telescopic oil cylinder are arranged on a base side by side; corresponding ends of the two guide rods are respectively provided with a first sliding block, corresponding other ends of the two guide rods are respectively provided with a second sliding block; a fixed end of the telescopic oil cylinder is fixed on one end of the base, the fixed end of the telescopic oil cylinder is arranged corresponding to the second sliding blocks; a telescopic end of the telescopic oil cylinder is connected with the first sliding blocks, and is used for driving the first sliding blocks to slide along the guide rods, one of two clamping blocks is fixed on the two first sliding block, and the other one of the two clamping blocks is fixed on the two second sliding blocks; the first sliding block on one of the two guide rods is provided with a first rack, the second sliding block on the other one of the two guide rods is provided with a second rack, both sides of a linkage gear are respectively meshed with the two racks, the first sliding blocks and the second sliding blocks are adjusted by the telescopic oil cylinder to move towards each other or depart from each other. The scheme can solve the problems of high control precision and slow regulation efficiency of a plurality of oil cylinders of the tube body clamping centering device.

The embodiment of the invention discloses a test parameter adjusting and testing system and method, chip testing equipment and electronic equipment. The system comprises a driving link module, a driving service module and a testing module. The driving link module is used for storing each first interface corresponding to at least one device in the chip test equipment; the drive service module is used for calling a first target interface in the drive link module when test parameter adjustment information for a target test item is received, and controlling the first target interface to send the test parameter adjustment information to a target device; and the test module is used for controlling the target device to execute the target test item according to the test parameter adjustment information and acquiring a test result corresponding to the target test item. Therefore, the test parameter information in the target device is directly adjusted in the chip test equipment, so that the test module can test according to the test parameter adjustment information, the adjusted test parameter information does not need to be uploaded to the chip test equipment again, and the test parameter adjustment efficiency is improved.

The invention provides a control method and device for dehumidification heat compensation of a constant-temperature and constant-humidity air conditioning unit, and the method comprises the steps: firstly monitoring indoor and outdoor temperature and humidity data sets in a current time period T, and obtaining a historical temperature and humidity data set; then, the indoor temperature prediction value and the indoor humidity prediction value are input into the trained convolutional neural network model, and after the convolutional neural network model outputs the indoor temperature prediction value and the indoor humidity prediction value, the indoor temperature prediction value and the indoor humidity prediction value are compared with a preset temperature range and a preset humidity range; when the temperature predicted value or the humidity predicted value exceeds the upper limit or the lower limit of the corresponding preset range, a humidity adjusting mode or a temperature adjusting mode is started, and when the temperature predicted value or the humidity predicted value is within the preset range, the system enters a high-precision fine adjustment mode; and finally, the display displays the current temperature and humidity. An improved convolutional neural network model is adopted, temperature and humidity predicted values are calculated in real time and compared with a preset range, and a humidity adjustment mode or a temperature adjustment mode or a high-precision fine adjustment mode is selected to be started; the temperature and humidity adjusting accuracy is greatly improved, and the user experience is greatly improved.

The invention discloses a high-precision three-degree-of-freedom attitude adjustment platform for a spectrometer, which is based on a simplified design of a Stewart platform and comprises a movable platform, a static platform and a three-degree-of-freedom driving mechanism connected between the movable platform and the static platform. The driving mechanism is composed of three sets of servo electric cylinders, telescopic rods and servo motors and is driven by a ball screw, and posture adjustment of the platform is achieved. According to the platform, a laser interferometer is adopted as a high-precision sensor, a closed-loop feedback control system is combined, and submicron displacement measurement and attitude control are achieved. The platform can achieve translation in the Z-axis direction and rotation around the X axis and the Y axis, the rotation angle can reach + / -15 degrees, and the precision can reach 0.02 mm. According to the invention, the device ensures high precision and stability in a complex working environment, has the characteristics of stable movement, quick response, easy maintenance and the like, and is suitable for the fields of optical experiments, spectral analysis and attitude adjustment and error compensation of precise instruments.

The invention relates to the technical field of flood storage digital analysis, in particular to a flood diversion gate regulation and control management method and system for digital flood storage analysis. The method comprises the following steps: constructing a flood storage area terrain model; acquiring historical flood storage hydrological data of the flood storage area; according to the flood storage area terrain model, carrying out flood storage mode space hydrological characteristic coupling analysis on the historical flood storage hydrological data, and generating flood storage mode space hydrological characteristic data; constructing a flood storage water power generalization model based on the flood storage area terrain model and the flood storage mode space hydrological characteristic data; performing flood characteristic simulation analysis in the flood storage polder based on the flood storage water power generalization model to generate flood characteristic simulation data in the flood storage polder; analyzing simulated land planning data of an internal region based on the internal flood characteristic simulation data of the flood storage polder; and designing an intelligent regulation and control decision of the flood-dividing sluice based on the simulated land planning data of the internal region and the flood characteristic simulation data of the flood storage internal region. According to the method, accurate flood characteristic analysis in the flood storage polder is realized.

The invention provides a distributed energy regulation and control method and system based on 5G network and block chain collaboration, and the method comprises the steps: building an energy block chain-based IES power transaction architecture which comprises a block chain node; docking the regulation and control object with a block chain node in an IES power transaction architecture, wherein the block chain node is used for storing the smart contract subjected to security verification; constructing a distributed energy optimization scheduling model considering the 5G network and a mathematical model of a cooperative scheduling mechanism; and the intelligent contract generates a scheduling instruction according to the distributed energy optimization scheduling model and the mathematical model of the cooperative scheduling mechanism, and the scheduling instruction value is issued to the power generation and utilization unit after passing constraint condition check.

The invention relates to the technical field of smart power grids, in particular to a virtual power plant real-time regulation capability assessment method and system, and the method comprises the steps: obtaining real-time power consumption data and historical power consumption data of each power device in a virtual power plant, determining a power minimum interval unit, correcting data abnormity, and the like. Accurate evaluation of the real-time adjustment capability of the virtual power plant is realized; the method specifically comprises the following steps: acquiring power consumption data and historical data of power equipment, generating a load curve, determining a power minimum interval unit based on the historical data, and further performing anomaly correction on the data; on this basis, the maximum and minimum real-time adjustment capability of each power device is evaluated, and the overall adjustment capability of the virtual power plant is comprehensively evaluated; through the implementation of the method, the precision and efficiency of virtual power plant scheduling can be improved, and the stability and flexibility of a power grid under different load conditions are ensured; the scheme has high real-time performance and accuracy, and is suitable for scheduling optimization of a modern intelligent power grid.

The invention relates to an influence matrix-based arch bridge cable-stayed buckle hanging buckle cable force multi-target data processing method and a multi-target optimization system thereof. The method comprises the following steps: establishing a finite element model, and correcting the model according to a construction sequence; extracting a plurality of correlation influence matrixes, wherein the influence matrixes comprise a displacement influence matrix, a cable force influence matrix and an internal force influence matrix; on the basis of a superposition principle, according to the obtained multiple correlation influence matrixes, obtaining an influence matrix relation, and then obtaining initial tension vectors of the buckle cables; and determining a plurality of corresponding constraint conditions based on an optimization theory, establishing an initial cable force multi-objective optimization model of a variable load, and calculating cable force value parameters of a buckle back cable of the cable-stayed buckle-hanging construction arch bridge. According to the method, the axial force of the arch rib rod piece and the arch rib line shape in the cable-stayed buckling construction process of the large-span arch bridge can be effectively controlled, and the optimal arch line shape and the stable stress state of the arch ring of the bridge are achieved.

The invention relates to the technical field of air blowers, in particular to an energy-saving air blower for a roasting furnace, which comprises a shell and a driving frame rotationally arranged in the shell, a plurality of impeller blades are arranged on the driving frame, a driving disc is arranged on the driving frame, and a connecting rod assembly is arranged on the driving disc; an air inlet pipe is arranged on the shell; a fixing disc is arranged on the air inlet pipe, an adjusting mechanism is arranged on the fixing disc, the adjusting mechanism comprises a worm gear and a worm, angle adjustment is achieved on impeller blades, the air volume adjusting function is directly integrated in an impeller area, and indirect influences of adjustment of a traditional diffuser on the air volume are avoided; and the self-locking characteristic of the worm gear and the worm is utilized to ensure that the adjusted impeller blade angle does not deviate under the influence of vibration or external force, and the stability is enhanced. And the driving disc can be driven by the adjusting mechanism in the process of rotating along with the driving frame. The purposes of optimizing an airflow path, reducing energy loss and improving the overall efficiency of the air blower are achieved through angle adjustment of the impeller blades.

The invention relates to a rendering adjustment method of a three-dimensional model, a rendering adjustment method of a medical three-dimensional model and computer equipment, relates to the technical field of medical models, and can efficiently meet personalized medical model rendering requirements of users. The method comprises the steps of obtaining a dialogue statement input by a user for a target three-dimensional model; the target three-dimensional model is a three-dimensional reconstruction model pre-constructed for a target organization area, and the dialogue statement is a demand statement input by the user for indicating to adjust the rendering effect of the target three-dimensional model; performing demand analysis on the dialogue statement based on a trained language model to obtain a corresponding demand instruction; the demand analysis is used for analyzing a demand description and a context in the dialogue statement so as to automatically generate a corresponding demand instruction; and based on the demand instruction, adjusting rendering parameters of the target three-dimensional model so as to display the target three-dimensional model based on the adjusted rendering parameters.

The invention relates to the technical field of copper rod machining, in particular to a copper rod straightening device and a working method.The copper rod straightening device comprises a first fixing plate, a second fixing plate, a third fixing plate, a first straightening assembly, a second straightening assembly and an adjusting assembly which are sequentially arranged in the copper rod conveying direction, and each straightening assembly comprises a moving plate, a sliding rail, a support and a round roller; the support is connected with the fixing base through the connecting rod, the bottom of the fixing base is connected with the sliding block, the round rollers are distributed in the circumferential direction of the copper rod, all-directional supporting and straightening force applying are conducted on the copper rod, the uniformity of straightening force is guaranteed, the adjusting assembly synchronously drives the movable plate to move through positive and negative threads of the adjusting rod, the fixing base is driven to be adjusted along the sliding rail, and the round rollers synchronously get close to or get away from the copper rod. Synchronous movement of the movable plate is achieved through the positive and negative threads of the adjusting rod, the multiple fixing bases are driven to move synchronously along the sliding rails, the multiple round rollers are controlled to be close to or away from each other synchronously, linkage adjustment and uniform stress of the multiple round rollers in all directions are achieved, and the straightness and straightening efficiency of the copper rod are improved.

The invention discloses a proportional-integral-derivative loop control method and a related device, and relates to the technical field of automatic control, after a set value and a current measurement value of a controlled object are obtained, the deviation of the controlled object is calculated, and the set value, the current measurement value and the deviation are input into a data analysis module; the current variation trend information of the controlled object is obtained, the current variation trend information and the current deviation state information are input into the parameter group selection unit, a sub-parameter group matched with the current working condition of the controlled object is determined, and the sub-parameter group is input into the proportional integral differential control unit to adjust the current measured value. And outputting the current operation value of the controlled object, and finally, controlling the controlled object by adopting the current operation value. According to the method, the sub-parameter group suitable for the current working condition can be matched for the controlled object in real time according to the trend change and the deviation state of the controlled variable, the current measurement value is adjusted by adopting the sub-parameter group, the current operation value is output to control the controlled object, and the parameter adjustment efficiency is high.

The invention provides a day-ahead-intra-day coordinated regulation and control method of a power grid side energy storage system and related equipment, and an unexpected scheduling framework of the power grid side energy storage system is divided into two regulation and control stages of day-ahead planning and intra-day prospective scheduling. In the day-ahead plan stage, a day-ahead plan model including energy and power generation and utilization power unexpected constraints is constructed, optimization solution is carried out, and an optimization result of the day-ahead plan model is used as a boundary condition. In an intra-day look-ahead scheduling stage, an intra-day look-ahead scheduling model including energy and power generation and utilization power unpredictability constraints is constructed, optimization solution is carried out, and finally, on the basis of an intra-day look-ahead scheduling optimization result considering unpredictability and time sequence decoupling, actual regulation and control of a power grid side energy storage system in energy, operation conditions and power generation and utilization power are guided. According to the method provided by the invention, on one hand, the regulation and control scheme of the power grid side energy storage system can have the robustness guaranteed by the day-ahead plan, and on the other hand, the regulation and control scheme can have the flexibility brought by the day-ahead scheduling.

The utility model discloses a photoelectric coupler lead frame and a photoelectric coupler. The photoelectric coupler lead frame comprises a first lead frame and a second lead frame. The first lead frame comprises a plurality of first frame units which are arranged at intervals, each first frame unit comprises a first chip bonding part, and the area of each first chip bonding part can be used for die bonding of a light-emitting chip; the second lead frame comprises a plurality of second frame units which are arranged at intervals, each second frame unit comprises a second chip bonding part, and the area of each second chip bonding part can be used for die bonding of a photosensitive chip; a first positioning mark and a range measuring mark are arranged on the first chip bonding part; the second chip bonding part is provided with a second positioning mark and an etching mark. According to the photoelectric coupler lead frame provided by the utility model, the regulation and control efficiency of output grading of photoelectric coupler products can be improved, and the production efficiency of the products can be improved.

The invention relates to the technical field of intelligent monitoring, in particular to a large-scene multi-target on-site holographic intelligent monitoring comprehensive management system, which comprises a device determination module, a plurality of initial monitoring devices and a control module, the model construction module obtains and analyzes a plurality of initial monitoring video data, and constructs an initial monitoring model; the grade determination module determines an initial number of preset monitoring targets and determines an initial importance grade; the anomaly recognition module determines an initial monitoring frequency, performs monitoring based on the initial monitoring frequency, and recognizes an initial anomaly event based on an initial monitoring result; the degree analysis module analyzes the initial abnormal event and gives an alarm based on the comparison result of the initial severity, or adjusts the initial monitoring frequency, monitors the sub-region corresponding to the abnormal event in real time based on the adjusted monitoring frequency, analyzes the real-time monitoring result, gives an alarm based on the analysis result, or continues monitoring. According to the invention, the comprehensive accuracy of monitoring is improved.

The invention discloses a multi-layer steel structure modular structure intelligent mounting platform, and particularly relates to the technical field of steel structure mounting, the multi-layer steel structure modular structure intelligent mounting platform comprises a supporting plate, a sliding frame, a push-up electric cylinder and a distance synchronous adjusting mechanism; wherein the interval synchronous adjusting mechanism comprises a linkage frame, a linkage frame, a linkage screw rod, two threaded sleeve blocks, a gear motor, a bearing sleeve block, a rotating shaft, an induction block and an interval sensor, and a first-stage synchronous adjusting mechanism is arranged on one side of the linkage frame; wherein a two-stage synchronous adjusting mechanism is arranged at the top end of the rotating shaft. By means of the interval synchronous adjusting mechanism, the interval distance between two first-stage platform rotating points can be adjusted synchronously, intelligently and accurately according to the specified distance, so that the installation efficiency of the modular structure of the multi-layer steel structure is greatly improved, and the problems that a large amount of installation time is wasted due to the fact that installation is large in limitation, and the installation cost is reduced are solved. And the installation efficiency is greatly reduced.

The invention discloses a sewage treatment process optimization method and device based on deep learning, and the method comprises the steps: carrying out the sample generation based on a generative adversarial network algorithm of hybrid differential privacy, and employing a reverse feature refinement strategy to adjust the data features in the sample generation process; performing feature extraction by adopting a full-connection neural network based on an adaptive wolf pack optimization algorithm; adopting a self-encoding neural network based on mask enhancement to selectively hide partial features of input data in an input layer by adopting a random mask to perform data compression and reconstruction so as to realize feature dimension reduction; and adopting a random forest algorithm based on model capacity self-adaptive pruning to perform classification prediction on the data after feature dimension reduction to obtain a classification result of the sewage treatment degree. According to the method, the sewage treatment process is integrally optimized and improved, the sewage treatment process can be monitored and dynamically optimized in real time after improvement, the sewage treatment efficiency is improved, the sewage treatment effect is improved, and it is ensured that the sewage treatment process meets the environmental protection standard.

The invention relates to a coding method and device and a computer readable storage medium, and relates to the technical field of communication, in the application, the number of information bit indexes of a first sub-code which does not support decoding by a preset decoding algorithm in a plurality of sub-codes of a polarization sequence is adjusted based on a target adjustment direction; wherein the target adjustment direction comprises increasing the number of information bit indexes of the first sub-code or decreasing the number of the information bit indexes of the first sub-code; obtaining a to-be-coded sequence based on the adjusted polarization sequence and the input bit sequence; and coding the to-be-coded sequence based on the generation matrix to obtain a coded sequence, and sending the coded sequence. According to the method provided by the invention, the number of bit indexes needing to be adjusted in the polarization sequence can be reduced, and the decoding performance is improved. The method and the device can be used in a wireless communication process.

The utility model provides tunnel construction smoke dust degradation equipment which comprises a movable base and a fan-shaped frame installed on the movable base, a plurality of sliding grooves are formed in the fan-shaped frame in an outward radial mode, a transmission block capable of sliding along the sliding groove is arranged in each sliding groove, and the fan-shaped frame is connected with the transmission block. A spraying assembly is arranged on the movable base on one side of the fan-shaped frame, an adjusting assembly is arranged on the movable base on the other side of the fan-shaped frame, and the transmission block is connected with a spray head in the spraying assembly and meanwhile connected with a connecting rod in the adjusting assembly. The position of the transmission block in the sliding groove is adjusted through the connecting rod, and then the position of the spray head is adjusted. The spraying range can be adjusted by adjusting the position of the spraying head, and then the tunnel spraying device is suitable for tunnels with different section sizes; the positions of all the nozzles are adjusted at the same time through the adjusting assembly, and the adjusting efficiency is high.

The invention provides a wedge-shaped PVB intermediate film thickness control method and system, and belongs to the technical field of plastic film control, and the method comprises the steps: obtaining the target thickness of each position of a PVB film under different classifications through historical data; the actual thickness of each position of the PVB membrane is obtained, and the thickness adjustment amount of each position is obtained through the actual thickness and the target thickness; according to the thickness adjustment amount of each position, obtaining a process parameter adjustment amount and adjustment priority upgrading; adjusting the technological parameters according to the technological parameter adjustment amount and the adjustment priority; after a preset time interval, the actual thickness after parameter adjustment is obtained, and whether adjustment is conducted again or not is determined according to the actual thickness; the actual thickness and the target thickness of each position of the membrane are monitored and analyzed in real time, and the process parameters are dynamically adjusted in combination with historical data, so that the consistency and the stability of the thickness of the PVB membrane are effectively improved, the accurate control of the thickness is realized, the production efficiency and the product quality are improved, and meanwhile, different wedge-shaped degree requirements are met.

The invention discloses a tumor postoperative treatment staged planning method based on artificial intelligence. The method comprises the following steps: S1, constructing a multi-modal medical data set; s2, performing standardization processing on the acquired multi-modal medical data set to form a standardized data set which can be used for feature extraction; s3, generating a unified patient feature vector; s4, according to the characteristics of tumor postoperative treatment, dividing the whole treatment process into a postoperative immediate recovery stage, a postoperative recovery middle stage and a long-term follow-up visit stage, and defining a corresponding optimization target for each stage; s5, based on the patient feature vector and the optimization target of each stage, generating an initial treatment plan by using a deep ant colony algorithm; and S6, outputting a staged treatment scheme. According to the method, the professional and technical thresholds required by traditional modeling are reduced, and the universality and convenience of three-dimensional modeling are improved.

The invention provides a non-invasive nerve regulation and control device. The non-invasive nerve regulation and control device comprises an optical fiber, an optical fiber fixing device arranged at one end of the optical fiber, a laser light source arranged at the other end of the optical fiber and a photoelectric conversion material positioning and injecting assembly. The photoelectric conversion material positioning and injecting assembly is used for injecting a photoelectric conversion material into a specified solution injection point; the photoelectric conversion material is powdery and comprises nanoparticles capable of converting near-infrared light into electric signals, and the photoelectric conversion material is dispersed in normal saline so as to be injected into biological tissues; the laser light source irradiates laser in a near-infrared band to an area where a photoelectric conversion material injection point is located, so that the laser is converted into an electric signal through the photoelectric conversion material, and the electric signal stimulates an area where a solution injection point is located. The non-invasive nerve regulation and control device has the advantages of non-invasiveness, high efficiency, system uniqueness, stability and programmable control, can realize accurate regulation and control of neurons and neural circuits, and has a wide application prospect.

The invention discloses a multi-channel dividing and cutting machine capable of dividing and cutting paper of different specifications, and relates to the technical field of dividing and cutting machines. The multi-channel dividing and cutting machine specifically comprises a rack, a dividing and cutting structure is arranged in the middle of the rack, and conveying structures are arranged on the two sides of the dividing and cutting structure; the slitting structure comprises two fixing plates connected with the rack and an ion fan connected with the rack, the air outlet end of the ion fan is connected with an air blowing plate through an air outlet pipe, the air blowing plate is fixedly connected with the bottom of one fixing plate, the two fixing plates are connected through a supporting rod, and the outer ring of the supporting rod is movably sleeved with a supporting ring. According to the multi-channel dividing and cutting machine capable of dividing and cutting the paper with the different specifications, through the arrangement of the dividing and cutting structure, the multiple cutters can be driven to move at the same time through the movable plate, the cutter position adjusting efficiency is improved, the distance between every two adjacent cutters can be rapidly adjusted according to requirements, and the cutting efficiency is improved. And therefore, the splitting machine can be used for splitting the paper in different specifications, and the applicability of the splitting machine is improved.

The invention relates to the technical field of optical fiber coupling, and discloses semiconductor laser lens coupling equipment which comprises a base, a laser and an optical fiber placement seat are arranged on the two sides of the top of the base respectively, a moving mechanism is arranged in the middle of the top of the base, and the moving mechanism comprises a moving block and a moving seat; and the dumping storage assembly is arranged at the top of the moving mechanism. By arranging a dumping storage assembly and a moving mechanism at the bottom of a lens body, when the lens body does not need to be used, a motor is used as a drive to drive a lead screw to rotate, so that the lens body on a moving block is driven to move, a square plate below the lens body is moved to the position in contact with a push plate, and the push plate is used for pushing the square plate to rotate; the rotating base on the connecting shaft is driven to rotate, the lens body on the rotating base is driven to rotate, the lens body is horizontally placed on the top of the moving base, collision of external movement to the lens body is avoided, and the protection effect is achieved.

The utility model discloses a coating mould capable of automatically adjusting a gasket, which comprises an upper mould, a lower mould and an actuating mechanism, the gasket is arranged between the upper mould and the lower mould to form a discharging channel, the upper mould is fixedly connected with the lower mould through a plurality of fasteners, a feeding channel is arranged at one side and the middle part of the lower mould, and the upper mould is fixedly connected with the lower mould through a plurality of fasteners. A containing cavity communicated with the feeding channel is formed in the lower die, backflow channels are formed in the positions, at the two ends of the containing cavity, of the upper die, the die is provided with a gasket fine adjustment device used for fine adjustment of a gasket and provided with a digital display dial indicator, the adjusting amount of the gasket can be detected, and after the die is ground, the positions of the two ends of the gasket can be accurately adjusted through the adjusting device.

The invention relates to the technical field of thrust rod ball pin press-fit, in particular to a thrust rod ball pin press-fit device and a thrust rod, the thrust rod ball pin press-fit device comprises a bottom box and a workbench fixedly connected to the bottom box, a punching machine is mounted at the top of the workbench, a placement seat is fixedly connected to the top of the workbench, a guide seat is fixedly connected to the top of the workbench, and an electric sliding rail is slidably mounted on the guide seat. After a thrust rod is placed, an electric rotating rod is started to drive a straight gear to rotate reversely, the straight gear drives an annular disc to rotate forwards through an outer gear ring, the annular disc drives three contact rods to move in the direction close to one another through inclined holes, and the contact rods drive three positioning frames to move in the direction close to one another through L-shaped plates and connecting springs; the three positioning frames center and position the ball seats of the thrust rods, under the action of the connecting springs, the positioning frames can center and position the ball seats of the thrust rods of different sizes to complete press-fit, manual correction and replacement positioning work are not needed, the operation continuity is high, convenience is achieved, and therefore the press-fit efficiency is improved.

The invention relates to the technical field of load monitoring, and discloses a load monitoring method of a low-voltage transformer area and a line electric leakage detection method based on a low-voltage transformer area load detector device. Comprising the steps of current signal acquisition and processing, current-voltage conversion, signal processing, Fourier transform FFT processing, real-time current value calculation and output, data transmission, remote monitoring and the like. According to the load monitoring method and the line leakage detection method for the low-voltage transformer area, a real-time current signal is acquired through an open current transformer, and is processed by means of a Fourier transform FFT algorithm, so that the load distribution condition of the low-voltage transformer area can be accurately monitored; the problem of randomness of a traditional measurement method is solved, it is ensured that the collected load data accurately reflects the actual power consumption condition of each household, and reliable support is provided for follow-up three-phase load adjustment. The three-phase load condition of each branch line in the multiple branches of the low-voltage line can be accurately monitored by simultaneously monitoring the branch lines in the multiple branches of the low-voltage line.

The invention relates to an energy-saving optimization control method and system, computer equipment and a computer readable medium. The method comprises the following steps: acquiring historical data of equipment; preprocessing the historical data; performing feature extraction on the preprocessed historical data; screening the extracted features to obtain target features representing the energy consumption of the equipment; constructing a neural network model based on the target features; performing energy consumption prediction on the equipment by using the neural network model; and regulating and controlling the equipment based on the energy consumption prediction result of the neural network model. According to the invention, the construction process can be simplified, and the prediction performance and calculation efficiency of the constructed neural network model can be improved; manual intervention can be reduced, the operation state of the equipment can be adjusted in real time according to environmental changes, energy waste can be avoided, the energy use efficiency and the regulation and control efficiency can be improved, and the optimal energy-saving effect can be achieved in time.

The invention relates to the technical field of flange nuts, in particular to a dismounting tool for a flange nut. The disassembly and assembly tool for the flange nut comprises a disc chuck, a guide disc and at least two clamping pieces, wherein at least two variable-diameter arc-shaped grooves are formed in the upper surface of the disc chuck in the circumferential direction at intervals. The guide disc is arranged on the upper surface of the faceplate, at least two sliding grooves are formed in the guide disc in the circumferential direction at intervals, and the sliding grooves extend in the radial direction of the guide disc and communicate with the variable-diameter arc-shaped grooves in a one-to-one opposite mode. Each clamping piece comprises a clamping arm and a needle rod installed on the clamping arm, and the clamping arms of the clamping pieces are sequentially arranged in the sliding grooves and the variable-diameter arc-shaped grooves in a sliding mode, wherein the sliding grooves and the variable-diameter arc-shaped grooves are opposite to each other. The disc chuck can rotate relative to the guide disc in the axial direction so that the variable-diameter arc-shaped grooves can drive the corresponding clamping arms to slide in the sliding grooves, and the at least two needle rods can get close to or get away from each other. The positions of the needle rods and the distance between the needle rods are adjusted by rotating the disc chuck so as to adapt to flange nuts of different sizes, disassembly and assembly of the flange nuts of different sizes are achieved, and universality is improved.