115results about How to "Improve operating conditions" patented technology

The invention belongs to the technical field of power prediction, and discloses a new energy power prediction method and system based on multi-source meteorological data fusion, and the method comprises the steps: obtaining meteorological data from different meteorological data sources in real time or at regular time through a data obtaining module; carrying out preliminary screening and preprocessing on the obtained data by utilizing a data processing module; the data fusion module is used for integrating meteorological data from different sources by adopting an advanced data fusion algorithm to eliminate data redundancy; a mathematical model or a machine learning model suitable for new energy power prediction is constructed by using the prediction model module based on meteorological data of multi-source fusion; and the result output and evaluation module is used for outputting the prediction result to a user in a visual form, and carrying out real-time or regular evaluation on the prediction result. The method has the characteristics of diversified data sources, advanced data fusion technology, flexible prediction model construction, high real-time performance and accuracy, wide application scenarios and the like.

The invention relates to the field of transformer parameter regulation and control, in particular to a parameter optimization method and device for a coupling type transformer. The method comprises the following steps: acquiring multi-dimensional real-time working monitoring parameters and real-time working environment state parameters of the coupling type transformer; performing nonlinear dynamic analysis and global state sensing modeling on the multi-dimensional real-time working monitoring parameters so as to construct a transformer global state sensing model; performing multi-parameter combination definition on the multi-dimensional real-time working monitoring parameters, performing dynamic operation simulation based on a transformer global state sensing model, and collecting operation simulation response data of a plurality of schemes; performing multi-target dynamic balance analysis on the operation simulation response data of the plurality of schemes to obtain an optimal transformer working parameter combination; and carrying out environment dynamic parameter change analysis on the real-time working environment state parameters, and constructing a real-time environment condition distribution field. According to the invention, efficient and self-adaptive adjustment transformer parameter optimization is realized.

The invention relates to a switching power supply control method, system and device and a storage medium, and the method comprises the steps: monitoring the voltage and current of the output end of a switching power supply, and the rate and amplitude of load change, and obtaining the real-time data of the load change; according to the real-time data of the load change, the change of the current load is identified, and a load change mode is obtained; dynamically adjusting operation parameters of the controller according to the load change mode; based on the real-time data of the load change, predicting the load change trend of the switching power supply in real time by using a pre-trained load prediction model to obtain a prediction result, and generating a disturbance compensation signal based on the prediction result; and adjusting the switching state of a switching circuit of the switching power supply according to the control parameter adjusted by the controller and the disturbance compensation signal. The switching power supply has the effect of improving the stability of the switching power supply.

The invention relates to the technical field of fault positioning, in particular to a power wire fault positioning system based on the Internet of Things, which comprises a data collection module, a fault analysis module and a data visualization module, firstly, a data collection module obtains wire data collected by a sensor on a wire in real time; secondly, the fault analysis module is used for carrying out data processing on the wire data to obtain fault data; according to the conductor data and the fault data, constructing a power conductor digital twinborn model; analyzing the fault features and the environmental parameters through a power conductor digital twinborn model to obtain an output result; analyzing the output result through a topology detection algorithm and signal sensitivity adjustment to obtain an optimized output result; obtaining a space-time propagation process formula of the fault signal through signal propagation simulation and space-time analysis according to the output result; evaluating the accuracy of an output result according to a space-time propagation process formula of the fault signal; and finally, the data visualization module generates a visualization chart and an analysis report.

The invention discloses an intelligent monitoring system for the running state of a water turbine. The intelligent monitoring system comprises a data acquisition module, a real-time data pushing module, a data storage module, a state evaluation module and a man-machine interaction module. The data acquisition module is used for acquiring vibration, throw, pressure pulsation and key phase information by using various sensors; the real-time data pushing module is used for distinguishing data types and pushing the data through WebSocket and HTTP protocols; the data storage module adopts a Redis and MySQL double-layer framework; the state evaluation module constructs an evaluation index system, determines a weight by using an entropy weight method and an improved analytic hierarchy process, and determines an operation state through deterioration degree analysis and fuzzy comprehensive evaluation; the man-machine interaction module displays monitoring data and evaluation results, provides a real-time monitoring, data query and state evaluation interface, has the advantages of being fast in data updating, convenient to query, visual in display and the like, can comprehensively monitor the operation state of the water turbine, and provides powerful guarantee for safe and efficient operation of a hydropower station.

The invention relates to the technical field of battery energy storage system evaluation, and relates to the technical field of battery energy storage, in particular to a method for balancing the service life and performance of a fuel cell, which comprises the following steps of: 1, acquiring multi-source data of the fuel cell, and applying a series of preset pulse current load sequences to the fuel cell, measuring response parameters output by the fuel cell in real time; 2, Fourier transform processing is carried out on the response parameters, and frequency domain signals of the response parameters are obtained; the performance and service life balance model is constructed based on the fusion feature vector containing the dynamic performance, the service life characteristic and the operation state of the fuel cell, the load distribution weight can be dynamically adjusted, the performance and the service life of the single fuel cell are kept balanced, and therefore the overall service life of the fuel cell pack is prolonged, and the reliability of the fuel cell pack is improved. And the influence on the performance of the whole system due to overload or too fast loss of the single fuel cell is avoided.

The present invention discloses a sealing device of a rotary kiln and a rotary kiln, the sealing device comprises a moving ring and a stationary ring arranged between a cylinder and a kiln cover, the two are in contact with each other and rotate relatively to form a spherical-conical end face sealing pair, the moving ring is fixed on the cylinder on the side away from the stationary ring, the stationary ring is elastically and sealedly connected to the kiln cover through a compensator, and the stationary ring is connected to an axial force component on the circular ring end face close to the kiln cover. The rotary kiln comprises the above-mentioned sealing device. The sealing device of the present invention, under the joint action of the moving ring, the stationary ring, the compensator, the rotating pair, the sliding pair and the axial force component, can realize the continuous and effective sealing of the cylinder and the kiln cover of the rotary kiln, has the advantages of simple structure, convenient use, good adaptability, high reliability, good sealing effect, long service life, etc., can be widely used in equipment such as rotary kilns, and has important promoting significance for effectively improving the sealing effect of rotary kilns and promoting the widespread use of rotary kilns.

The invention provides a waste heat recovery device, and relates to the field of flue gas waste heat recovery, a plurality of connecting plates are fixedly connected in a recovery shell, the plurality of connecting plates are arranged up and down in rows, the connecting plates are communicated with heat exchange pipes, and the heat exchange pipes are arranged on the upper and lower rows of connecting plates in a penetrating manner; the multiple wind shields are rotationally connected to the connecting plate, and the multiple wind shields are evenly distributed on the side of the heat exchange pipe; the rotating mechanism is used for adjusting the rotating angle of the wind shield; the cleaning scraping ring is connected to the heat exchange tube in a sliding manner and is used for cleaning the outer surface of the heat exchange tube; and the upward moving motor is fixedly connected to the recycling shell, a connecting block is fixedly connected to the middle position of the cleaning scraping ring, a reciprocating lead screw is fixedly connected to an output shaft of the upward moving motor, and the connecting block is slidably connected with the reciprocating lead screw. The surface of the heat exchange tube can be cleaned under the non-stop condition.

The invention discloses a converter station energy efficiency prediction system based on deep learning, and the system comprises the steps: S1, collecting the data of all equipment in a converter station, and generating an original data set; s2, processing the original data set to generate a standardized data set; s3, constructing an equipment network diagram based on the topological relation of the converter station equipment; s4, the graph neural network module constructs a graph neural network model based on the equipment network graph, extracts feature information of nodes and edges, and generates a multi-dimensional embedded vector; s5, the meta learning module updates model parameters by adopting a hierarchical optimization strategy based on the multi-dimensional embedded vector generated by the graph neural network module, and generates a model parameter set capable of adapting to different input feature distributions; and S6, based on the model parameter set generated by the meta learning module, predicting the energy efficiency related indexes of the converter station. The method has the advantages of strong modeling capability, high prediction precision, strong adaptability and good real-time performance.

The invention discloses an intelligent adjustment power plant combustor and an adjustment method thereof, and relates to the technical field of power plant combustors, and the combustor comprises a combustion assembly, a flue gas circulation assembly, a gas inlet adjustment assembly, a fuel gas supply assembly, a control system and a monitoring module. The controller controls the opening degree of related parts according to fuel, air volume and nitrogen oxide monitoring data, combustion optimization is achieved, and nitrogen oxide emission is reduced. The adjustment method comprises the steps of data setting, starting, ignition, operation adjustment, shutdown and fault processing. The combustor can accurately control all parameters, improve combustion efficiency, enhance safety and reliability, flexibly cope with working condition changes, effectively solve the problems that a traditional combustor is high in nitrogen oxide emission, unstable in combustion and the like, is suitable for the fields such as power plants needing efficient and clean combustion, and has remarkable environmental protection and economic benefits.

The present invention belongs to the technical field of operation monitoring and control of sewage treatment coarse screen equipment, and relates to an operation monitoring and control system for sewage treatment coarse screen equipment. The present invention helps to timely discover and solve abnormal or inefficient problems in the operation of sewage treatment coarse screen equipment by analyzing the operation feedback index of sewage treatment coarse screen equipment, ensuring that the sewage treatment coarse screen equipment is always in the best working state, and helps to timely discover and remove debris on the sewage treatment coarse screen equipment by analyzing the cleaning feedback index of the sewage treatment coarse screen equipment, reducing the impact and wear of the debris on the sewage treatment coarse screen equipment, which is conducive to extending the service life of the equipment, and by analyzing the cleaning effect of the front and rear water bodies of the sewage treatment coarse screen equipment, it is conducive to targeted equipment maintenance and adjustment of equipment with unqualified cleaning effects, ensuring that the cleaning effect of the front and rear water bodies of the coarse screen equipment meets the standards, and reducing the degree of pollution to the environment.

The invention discloses a heat storage tank-containing heat supply system scheduling method considering heat storage and release role changes, which comprises the following steps of: additionally arranging a heat storage tank in a primary network urban area between an original urban heat supply system pressure separation station and each heating station, and adjusting a supply-demand imbalance operation condition into a supply-demand balance operation condition through the heat storage tank, the urban heat supply system containing the heat storage tank is formed; setting a heat storage tank role change mechanism; based on the corrected heat supply network hydraulic working condition calculation model and a heat storage tank role change mechanism, combining heat load demand change of each heating station and supply and demand imbalance operation working condition identification information, and analyzing the influence on the heat supply network hydraulic working condition during heat supply network flow distribution and heat storage and release of a heat storage tank; the flow of the heat supply network pressure separation station side, the heat storage tank and each heating station in each time period is distributed; correspondingly communicated water pumps and valves are regulated and controlled; and flow distribution and evaluation of regulation and control effects of the water pump and the valve are performed.

The utility model relates to a centrally-mounted motor transmission system and a centrally-mounted motor, the centrally-mounted motor transmission system comprises a center shaft structure, a motor assembly and a speed reduction assembly, and the speed reduction assembly is arranged between the motor assembly and the center shaft structure; wherein an output gear is arranged on the middle shaft structure, a first clutch is arranged between the output gear and the middle shaft structure, a second clutch is arranged in the speed reduction assembly, and the first clutch is configured to transmit power to the output gear in a one-way mode from the middle shaft; the second clutch is configured to perform one-way transmission of power from the motor assembly to the middle shaft structure; in the power-assisted mode and the full-automatic mode, the motor drives the crank to rotate, so that discomfort to a rider is avoided; and the specific mounting positions of the first clutch and the second clutch are favorable for improving the compactness of the structure and improving the bearing moment, so that the running state between the clutch and the corresponding connecting structure is better.

The invention belongs to an agent optimization method, and the method comprises the steps: constructing a virtual power system, constructing a knowledge graph based on the text data of a power distribution network, selecting an agent evaluation index, setting an agent test scene in the virtual power system, and testing the intelligent level of an agent in the agent test scene. And on the basis of the intelligent level of the intelligent agent obtained by testing, continuously iteratively optimizing the hyper-parameter of the intelligent agent, and finally obtaining the intelligent agent with the highest intelligent level as the optimal intelligent agent. According to the priori knowledge guidance-based intelligent agent optimal evolution method, intelligent levels of different intelligent agents can be evaluated by utilizing a constructed intelligent quantitative evaluation index system, the intelligent agent with the highest intelligent level and the best power grid regulation and control capability is selected, the intelligent level of the intelligent agents is improved by adjusting hyper-parameters of the intelligent agents, and the optimal power grid regulation and control capability of the intelligent agents is improved. The corresponding power grid operation state is improved, and the priori knowledge guidance-based intelligent agent optimal evolution is realized.

The invention discloses a construction site off-grid power supply optimization system based on big data fusion analysis, and belongs to the field of construction site power supply management. Comprising an acquisition preprocessing module, an arrangement fusion module, a graph construction module, a demand prediction module, a resource optimization module, a simulation evaluation module, a decision support module, a real-time monitoring module, a feedback adjustment module and a report analysis module. According to the invention, under the condition of different environments and demand changes, rapid response can be ensured, the power supply stability can be maintained, the overall energy utilization efficiency can be improved, a good operation state can be maintained in case of emergencies, the robustness and reliability of a power supply system can be enhanced, prediction errors can be reduced, and the overall prediction precision of the system can be improved. The method helps to better understand the relationship between past and future demands, enhances the prediction effectiveness, reduces the demands of manual intervention, and improves the intelligent level of the system.

The invention relates to the technical field of micro turbine power generation, in particular to an intelligent micro turbine power generation control system suitable for different flight heights, which comprises a flight environment monitoring module, a vibration compensation and stability enhancement module, an aging and power generation efficiency attenuation compensation module and an electric energy management module, the flight environment monitoring module monitors the flight state of the aircraft in real time; the vibration compensation and stability enhancement module automatically adjusts the working state of the generator through a vibration compensation algorithm; the aging and power generation efficiency attenuation compensation module predicts the aging state of the turbine power generation system and dynamically adjusts power generation power output through an aging compensation algorithm; and the electric energy management module adjusts an electric energy distribution scheme in real time according to the priority of the equipment and task requirements. According to the invention, the influence of vibration and aging effects on system efficiency is effectively reduced, and the service life of power generation equipment is prolonged.

The invention provides a refrigerating machine room health prediction diagnosis and control system and method based on intelligent electric meter data analysis. The system comprises a plurality of control devices; the intelligent electric meters are configured in one-to-one correspondence with the control devices so as to monitor power utilization data of the devices in real time, and each control device and the matched intelligent electric meter form a control loop; the power utilization data at least comprise three-phase voltage, three-phase current and three-phase power; and the control system is connected with each control loop and is used for performing early warning analysis according to monitoring data of the intelligent electric meters in the control loops and performing state adjustment on the control loops based on an early warning analysis result. Real-time comparative analysis is carried out by combining rated working condition data of equipment, abnormal operation of the system is found in time, corresponding faults are automatically controlled and processed, and stable operation of the system is guaranteed. And meanwhile, an electric energy use strategy can be optimized, and by identifying high-energy-consumption equipment or time periods, measures are taken in a targeted manner to reduce energy consumption and optimize and adjust the operation condition of the system.

The invention discloses an index anomaly detection method and system for a micro-service architecture, and relates to the technical field of smart power grids, and the method comprises the steps: collecting power grid system data in real time, carrying out the multi-modal data processing of the collected data, carrying out the feature extraction of the processed data through a deep learning model, and carrying out the feature extraction of the processed data; constructing and training a machine learning algorithm by using the extracted features, establishing a normal and abnormal state classification model, inputting newly collected data into the normal and abnormal state classification model for state judgment, when an abnormal state is detected, performing graded early warning and adjusting a strategy, and predicting the abnormal state by using a micro-service architecture index anomaly prediction algorithm. And predicting whether the system is abnormal or not, and performing strategy adjustment and parameter adjustment according to a prediction result. The method solves the problem that an existing power grid monitoring system lacks an effective early warning and strategy adjustment mechanism after anomaly detection, and is difficult to respond and recover quickly in an abnormal state.

The invention discloses an intelligent monitoring method for subsidence of the ground around a site in subway shield construction, and relates to the technical field of shield construction subsidence monitoring. 2, determining an installation scheme of the intelligent monitoring equipment; 3, positioning and installing the intelligent monitoring equipment; 4, liquid injection operation is conducted on the intelligent detection equipment; step 5, installing a corresponding data relay; 6, executing a data verification program; 7, analyzing and judging the monitoring data; and 8, classifying and archiving the monitoring data. According to the intelligent monitoring method for subsidence of the ground around the site in subway shield construction, intelligent equipment is adopted for monitoring according to the type of a house building, the monitoring efficiency and the monitoring precision are improved, and it can be guaranteed that monitoring is conducted for 24 h; the overall working efficiency is improved, and the construction cost is saved.

The invention relates to the technical field of power grid systems. The invention provides a power transmission and distribution line lightning protection equipment quality evaluation method, which comprises the following steps of: pre-defining and setting a unified standard for evaluating the performance of lightning protection equipment through a quality control system, and establishing a real-time monitoring system of the lightning protection equipment; historical data of the lightning protection equipment are collected, a historical data set is established, and a quality evaluation model is constructed through a quality control system; the real-time monitoring system collects related data of the lightning protection equipment to be evaluated and feeds back the related data to the quality control system to obtain a real-time data set; based on the real-time data set, performing quality evaluation on the to-be-evaluated lightning protection equipment through a quality evaluation model, and obtaining a quality evaluation result; and making corresponding operation and maintenance measures according to the quality evaluation result, and feeding back the quality evaluation result and the corresponding operation and maintenance measures to the user, thereby solving the problems of non-uniform evaluation standards, lack of real-time performance in the evaluation process, low evaluation efficiency, high error rate and low evaluation accuracy of the existing lightning protection equipment quality evaluation method.

The invention discloses ultrapure water separation equipment and method based on use of a photo-thermal power plant, and particularly relates to the technical field of ultrapure water processing, the ultrapure water separation equipment based on use of the photo-thermal power plant comprises ultrapure water equipment, and further comprises a raw water tank arranged on one side of the ultrapure water equipment. Multi-point synchronous release is completed through the multiple stirring units, inert gas is promoted to enter raw water to complete replacement, control over the conductivity of the raw water is facilitated, multi-mode treatment of the raw water can be completed, the treatment precision and the treatment efficiency are improved, and the treatment cost is reduced. The ventilation mechanism and the discharging mechanism can be synchronously controlled through the control mechanism during operation, dynamic connection of the ventilation mechanism and the discharging mechanism is achieved, the ventilation mechanism can complete one-time switching in the single treatment process, the discharging mechanism is controlled to be dynamically separated from the sealing ring, the load is effectively reduced, and the efficiency is improved. The equipment is more stable in operation, and the service life is prolonged.

The invention discloses a method for producing marine fuel oil. The method comprises the following steps: a residual oil raw material and hydrogen sequentially enter a first hydrotreating reactor to an (N-1)-th hydrotreating reactor for reaction, an obtained product, solid-removed oil slurry and optional catalytic diesel oil enter an Nth hydrotreating reactor to be in contact with a hydrogenation catalyst for reaction, and hydrogenated diesel oil and hydrogenated heavy oil are obtained, wherein a portion of the hydrogenated diesel oil is used as a first hydrotreating reactor feed; one part of the hydrogenated heavy oil enters a catalytic cracking unit for reaction to obtain catalytic diesel oil and catalytic slurry oil; and blending the obtained hydrogenated heavy oil with optional solid-removed oil slurry, optional catalytic diesel oil and optional hydrogenated diesel oil to prepare the marine fuel oil. According to the method disclosed by the invention, high-quality ship fuel which is low in cost and can meet indexes can be produced, and the problems that the overall utilization efficiency of a catalyst is low and the operation period of a device is restricted due to the fact that solid-removed oil slurry, catalytic diesel oil and the like are conventionally mixed at the inlet of the first reactor can be solved.

The utility model discloses a polyimide resin drying tray convenient for material collection, which belongs to the technical field of drying trays, and comprises a tray which is of a cuboid flat plate structure, the upper surface of the tray is provided with an inverted trapezoidal groove, and one side of the tray is connected with an arc-shaped structure I; the lower part of the special-shaped silicone tube is of an inverted trapezoidal structure, and the special-shaped silicone tube is matched with the inverted trapezoidal groove of the tray and is filled in the inverted trapezoidal groove; the flat cover plate is arranged on the tray, the shape of the flat cover plate is matched with that of the tray, and one side of the flat cover plate is provided with an arc-shaped structure II corresponding to the arc-shaped structure I of the tray; and the tray and the flat cover plate can be placed on the loading bracket after being fixed between the tray and the flat cover plate. By adopting the structure, the polyimide resin drying tray convenient for receiving the materials solves the problem that dust flying is easily caused when powder materials are packaged on the tray, improves the operating conditions of a laboratory, and improves the working efficiency.

The utility model relates to trace liquid supply equipment for printing and dyeing and relates to the technical field of liquid supply equipment, in order to solve the problems that a traditional manual liquid supply mode is low in efficiency and prone to errors, the trace liquid supply equipment comprises a supporting frame and an integrated box body, at least two sets of metering pumps are arranged on the supporting frame, and the integrated box body is arranged below the supporting frame; the interior of the integrated box body is divided into a plurality of independent cavities, the independent cavities are used for containing different agents respectively, the multiple sets of metering pumps correspond to the independent cavities respectively, the input ends of the metering pumps communicate with the interiors of the corresponding independent cavities, and metering junction stations are arranged at the output ends of the metering pumps. The outlet ends of the metering junction stations are jointly provided with a main output header pipe, and the integrated box body is provided with a backwashing mechanism used for cleaning the main output header pipe. The device has the effects that integrated medicament supply is achieved, the production efficiency is greatly improved, and the accuracy and stability of the medicament adding amount are ensured.

The present invention relates to the technical field of Internet of Things, and in particular to a photovoltaic panel remote monitoring management and fault operation and maintenance integrated system, comprising an appearance data detection module, an appearance data analysis module, an illumination data detection module, an illumination data analysis module, an electric power data detection module, an electric power data analysis module, an electric power data adjustment module, and a management database. The system obtains the appearance evaluation coefficient of each photovoltaic panel through the appearance data analysis of each photovoltaic panel, and performs feedback. The illumination uniformity of each photovoltaic panel is obtained through the illumination data analysis of each photovoltaic panel, so as to judge whether each photovoltaic panel is blocked by shadows. The power generation efficiency evaluation coefficient of the photovoltaic panel is obtained through analysis, and then the electric power data of each photovoltaic panel is adjusted, which is helpful to improve system efficiency, extend equipment life, and reduce maintenance costs, thereby achieving higher performance and reliability of the photovoltaic system.

The present invention discloses a diverter ring and an aircraft engine, which relate to the field of aircraft engines and are used to optimize the structure of the diverter ring. The diverter ring includes an outer ring and an inner ring. The outer ring is constructed in an annular shape; the inner ring is constructed in an annular shape; the inner ring is located inside the outer ring, and the inner ring and the outer ring form an annular flow channel; the wall of the inner ring is provided with a circle of swirl flow channels along its own circumference, so that the hot air in the inner ring enters the annular flow channel through the swirl flow channel. The diverter ring provided by the above technical solution allows for more sufficient heat exchange between the hot air and the metal surface of the diverter ring, thereby achieving the purpose of reducing the bleed air flow rate while ensuring the anti-icing effect.

The invention provides a regional cold source system heat pump group control optimization method and device. The regional cold source system comprises a plurality of energy subsystems, the energy subsystems comprise heat pump units, and the method comprises the steps that a regional cold source system heat pump group control optimization model is constructed based on the operation load rates of the heat pump units of the energy subsystems; based on a numerical stability dual solution method, the regional cold source system heat pump group control optimization model is solved and optimized, and the optimized operation load rates of the heat pump units of the energy subsystems are obtained; and on the basis of the optimized operation load rates of the heat pump units of the energy subsystems, the optimized chilled water outlet temperatures of the heat pump units of the energy subsystems are determined. And the energy utilization efficiency and the operation stability of the system are improved.

The invention discloses a control method, device and equipment for a gas device and a medium, the method comprises the steps that a heating signal is responded, a smoke exhaust fan is controlled to operate at a high gear within first preset time, the gears of the smoke exhaust fan comprise the low gear and the high gear, and the types of the heating signal comprise the low-gear heating signal and the high-gear heating signal; after the first preset time is up, the smoke exhaust fan is controlled to operate at a low gear, and meanwhile the ignition needle is controlled to start preheating; after the ignition needle reaches the preset temperature, the gas valve is controlled to operate at a low gear; and if it is detected that ignition succeeds, gear switching of a gas valve and a smoke exhaust fan is controlled based on the type of the heating signal. According to the technical scheme provided by the embodiment of the invention, the effects of preventing ignition deflagration and enabling fuel gas to be fully combusted can be achieved.

The utility model discloses a switch cabinet safe operation monitoring device which comprises a partial discharge monitoring device, a high-voltage live-line sensor and a wireless temperature sensor, a high-voltage live-line loop is in wired connection with the high-voltage live-line sensor, the high-voltage live-line sensor is in wired connection with the partial discharge monitoring device, and the wireless temperature sensor is in wired connection with the partial discharge monitoring device. The temperature sensor is in wireless connection with the partial discharge monitoring device, collected data can be read and stored on site and uploaded to a control background through an RS485 interface in a Modbus communication mode, the functions of real-time detection, query, statistics and the like are provided, field debugging and calibration can be carried out through a USB interface, and the real-time monitoring of the partial discharge monitoring device is realized. The partial discharge live inspection and atlas analysis device has the characteristics of modular design, simple design and production process, interference resistance, photoelectric and electromagnetic isolation, convenience in installation, long service life, excellent environmental endurance capability and electromagnetic compatibility, and long-term safe and reliable operation.

The invention discloses a portable air conditioner control method and device and a portable air conditioner. According to the method, when the portable air conditioner is started and enters a refrigeration mode, after a user triggers a target operation instruction, a linkage control scheme is generated according to a preset rule on the basis of the target operation instruction, and the linkage control scheme is controlled by triggering specified operation; according to the method, the operation parameters can be automatically adjusted, so that the air conditioner can be in a better operation state on the premise of meeting user requirements, and the maximum working efficiency is exerted.