50results about How to "Fast track" patented technology

The invention discloses an electric energy metering method and device based on harmonic self-adaptive observation and zero point tracking type SOGI-FLL. The electric energy metering method comprises the following steps: step 1, carrying out ADC sampling on voltage and current signals of a power grid; 2, performing frequency rapid estimation on the voltage signal based on a zero point tracking frequency-locked loop, and obtaining a fundamental wave angular frequency of a power grid in real time; step 3, constructing adaptive observers of voltage and current by using the fundamental wave angular frequency, and estimating parameters of fundamental waves, harmonic waves and direct current components in voltage and current signals in real time through an adaptive law based on Lyapunov stability; 4, according to the parameter estimation value, the amplitude and phase of the voltage and current are calculated; and step 5, calculating active power and reactive power of each harmonic based on the voltage and current amplitudes and phases obtained in the step 4, and summing to obtain total active power and total reactive power so as to realize metering of active electric energy and reactive electric energy. According to the invention, rapid and accurate metering of fundamental wave and harmonic wave electric energy under complex working conditions is realized.

A sight and a pattern structure thereof, the pattern structure comprising a first pattern and a second pattern. The first pattern is a first geometric shape composed of a first light source unit and has a first color. The second pattern is a second geometric shape composed of the first light source unit. An inner side edge of the second pattern is oppositely arranged along an outer side edge of the first pattern, wherein the outer side edge of the first pattern and the inner side edge of the second pattern have a first characteristic interval between corresponding positions of each other, and the first characteristic interval between the corresponding positions is the same. The second pattern has a first end and a second end, the first end and the second end are oppositely arranged and connected to the inner side edge of the second pattern respectively, and the first end and the second end are separated by a second characteristic interval.

The invention provides a product data multi-dimensional full-period management method, system and device and a medium, and relates to the technical field of product data management, and the method comprises the steps: constructing a preset module; receiving project configuration information input by a user, calling and executing a corresponding clipping rule from a preset module based on the project configuration information, and dynamically generating a project baseline; on the basis of the project base line, constructing an incidence relation graph between the deliverables, and on the basis of the incidence relation graph and the dynamic Bayesian network, establishing a change influence probability propagation model between the deliverables; when it is monitored that the target deliverable is changed, based on a change influence probability propagation model, quantitative influence values of the change source deliverable on the associated deliverable in quality, progress and cost dimensions are calculated, and a change influence analysis report is generated; and outputting visual results of the project base line, the incidence relation graph and the change influence analysis report. Product data management is realized or assisted through an automatic system, and the management efficiency and effect of the product data are improved.

The application relates to an FPGA prototype verification method and system of a smart meter chip, and belongs to the field of integrated circuit testing and electric power metering. The method aims to solve the problems of ASIC design transplantation to an FPGA platform, large difference between a verification environment and a real power grid, and lack of a real-time closed-loop verification mechanism. A technical scheme efficiently transplants the design to the FPGA by optimizing ASIC front-end synthesis constraints and adopting a netlist-level IP replacement strategy; a hardware-in-the-loop system is constructed, which comprises a real power grid signal source, a separation device simulation front end, an FPGA verification board, a high-precision standard electric energy meter and a host computer. The system can generate a real power grid excitation and realize synchronous collection of prototype output and the standard meter, real-time error analysis and dynamic adjustment of parameters, thereby forming a closed-loop verification. The application significantly improves code transplantation efficiency, provides a highly consistent real power grid verification environment, and greatly improves verification iteration and defect positioning speed.

The invention relates to a dual-module intercooler type fuel cell cathode inlet temperature and humidity cooperative control method. The method comprises the steps that fuel cell cathode air inlet real-time state parameters and operation parameters are obtained, a multivariable coupling prediction model is constructed after preprocessing, and a temperature and humidity reference and an oxygen stoichiometric ratio target reference are set in combination with heat exchange characteristics of a dual-module intercooler; then the core body heat exchange distribution proportion is regulated and controlled, humidification adjustment is matched, and the core body heat exchange distribution proportion and the humidification adjustment intensity are dynamically adjusted according to the real-time working condition; comparing the deviation between the adjusted actual temperature and humidity and the target temperature and humidity reference, and correcting the heat exchange distribution proportion and the humidifying adjustment parameter through a dynamic constraint correction model; cooperative regulation and control of cathode inlet temperature and humidity are realized, dynamic change of working conditions is adapted, and stable operation of the fuel cell is guaranteed.

This invention discloses a wind vane-based drone flight control method, device, medium, and drone. The method includes: when a multi-rotor high-speed drone is cruising, acquiring the orientation of a wind vane mounted on the drone's fuselage in real time, and then determining the angle between the drone's flight speed direction and its central axis; determining whether the drone's flight speed direction and the central axis are aligned based on this angle; if so, maintaining the angle of the drone's rotatable wings unchanged; if not, adjusting the angle of the drone's rotatable wings based on the angle, and then performing a wind vane detection step. This invention solves the problem of existing multi-rotor high-speed drones being unable to quickly and accurately track targets during high-speed cruising.

This invention relates to the field of in-situ impedance testing technology for energy storage batteries. To address the current difficulties in achieving rapid tracking of wideband excitation signals and the inaccurate identification and measurement of electrochemical parameters, it provides a battery in-situ impedance testing method and system based on adaptive phase compensation. The method includes acquiring the initial reference current and actual sampled current of the battery charging and testing system; iteratively calculating the real-time phase lag angle and generating a corrected reference current command accordingly; predicting the current response in two steps based on a discrete mathematical model of the full-bridge converter in continuous conduction mode; and optimizing the switching state corresponding to the voltage vector that minimizes the composite cost function to drive the switching transistors of the full-bridge converter. This method balances fast dynamic response with zero phase error tracking, meeting the high-precision requirements of in-situ EIS testing of energy storage batteries.

The application belongs to the technical field of power system frequency modulation control, and discloses a hybrid energy storage control method for thermal power combined AGC frequency modulation, a thermal power unit AGC frequency modulation full-working-condition nonlinear dynamic model is constructed based on deep learning and an attention mechanism, the AGC regulation capacity boundary is calibrated in real time, and the actual operation characteristics of the unit are accurately matched; an improved adaptive VMD-wavelet packet multi-scale decomposition algorithm is used to split the frequency modulation instruction into three types of time scale components, and the execution subject is distributed in a targeted manner; the unit output is compensated in advance, the regulation dead zone is borne by the energy storage in full power, and the medium and high frequency instruction components can be tracked quickly; meanwhile, the power grid frequency disturbance is predicted and the instruction is corrected, so that the AGC regulation rate, accuracy and response time are improved; through cooperative power pre-distribution, the equipment fatigue accumulation and wear rate are reduced; for the hybrid energy storage, a three-target optimization model of SOC balance, minimum life loss and highest response priority is constructed, and differential life control is implemented.

The invention discloses a lithium battery state estimation method and system based on a PNGV model and a DEKF algorithm, and the method comprises the steps: firstly, carrying out the systematic offline test of a battery, and obtaining an open-circuit voltage-state of charge curve of the battery and the equivalent capacitance of a second-order PNGV equivalent circuit model; secondly, discretizing a continuous state equation of the model into a difference equation through bilinear transformation, and identifying other model parameters of the battery in different charge states by applying a recursive least square method; and finally, constructing a state filter and a parameter filter by adopting a double-extended Kalman filtering algorithm, and realizing collaborative estimation of the charge state and the health state through data interaction and feedback of the two filters. According to the method, through a progressive process of parameter identification and cooperative state estimation, the problems of time-varying characteristics and state coupling of battery model parameters are effectively solved, and the joint estimation precision and robustness of the state of charge and the state of health of the lithium battery under complex working conditions are remarkably improved.

The application discloses an adaptive industrial park power equipment intelligent management system, comprising: a park equipment information acquisition module for constructing a mapping relationship between equipment rooms and equipment types; a multifunctional linkage control module for generating a linkage priority list between multifunctional groups; an equipment state evaluation module for constructing an equipment state evaluation model and identifying the state type of the equipment; a linkage control sequencing module for determining the execution sequence of each equipment in the linkage control process; a linkage control execution module for generating an initial linkage control strategy and updating a control topology state; a patrol task management module for executing a patrol task and updating a patrol state and a linkage control instruction; and an equipment alarm and processing module for generating an alarm event list and classifying and distributing alarm information. The application effectively solves the problems of lack of dynamic adjustment of linkage control and low patrol efficiency in traditional power equipment management, and significantly improves equipment operation stability and management efficiency.

The application belongs to the technical field of intelligent manufacturing, and discloses a production quality online monitoring and tracing method and system for color steel profiled plates and aluminum-magnesium-manganese roof plates. Special sensing equipment is deployed in the whole link of raw material entering, profile forming and coating curing. Terahertz spectrum sensors, laser composite sensing units, infrared thermal imagers and other devices work together, and are matched with adaptive adjustment and self-calibration technologies to ensure the accuracy of process parameters and defect information collection. Cross-modal feature extraction and double-branch models are used for defect identification, which can accurately identify subtle surface defects, accurately locate internal micro-cracks and plate shape deviations, and realize full-process online monitoring. A hybrid trusted architecture combining blockchain, NFT and RFID is used to configure a unique identifier and digital certificate for each batch of plates, embed core quality information, and implant a special chip on the surface of the plate to support fast reading and writing in all scenarios.

The method comprises the following steps: extracting frequency information of power grid voltage based on a characteristic harmonic compensation method of an improved STATCOM to obtain a reference phase and frequency of h-order harmonic; the load current is converted into a d-q coordinate system through a Cabc-dqh change matrix module and decomposed into a load active current component and a load reactive current component, and then a reference current instruction value is obtained through low-pass filtering; performing low-pass filtering on the active current component and the reactive current component to obtain a system side current component as a reference value; comparing each separated harmonic current component with a reference value, and inputting the current components to a fuzzy PI controller to obtain voltage compensation instructions of the characteristic harmonic waves under a d axis and a q axis respectively; and superposing each compensation instruction and the original reactive compensation and direct-current voltage control instruction of the STATCOM, and then inputting PWM (Pulse Width Modulation) to enable the STATCOM to output current containing a characteristic harmonic compensation component. According to the method, multi-synchronous rotating coordinate system detection and fuzzy PI adaptive control are introduced, and dynamic and accurate compensation of multiple characteristic harmonics is realized on the premise of not changing the main circuit topology of the STATCOM.

The application discloses a time cooperative guidance control method considering speed limitation of an unmanned aerial vehicle, and comprises the following steps: obtaining the motion state information of a target in real time through an optoelectronic pod carried on the unmanned aerial vehicle; obtaining the speed and acceleration of the target in real time according to the motion state information of the target; obtaining the acceleration instruction of the unmanned aerial vehicle in real time according to the expected attack time, the relative distance, the motion information of the target and the speed limitation of the unmanned aerial vehicle itself; and controlling the unmanned aerial vehicle to fly according to the obtained acceleration instruction of the unmanned aerial vehicle. The time cooperative guidance control method considering the speed limitation of the unmanned aerial vehicle can realize omnidirectional saturated attack on an arbitrary motion target under the speed constraint condition of the unmanned aerial vehicle.

The application discloses a permanent magnet synchronous motor control method based on reinforcement learning and model predictive control and belongs to the technical field of motor control. The application adopts two state space expressions to respectively describe the motor which is a multi-time scale system, the inner loop and the outer loop can be decoupled through reasonable equivalence and assumption; the optimal control theory is combined with integral reinforcement learning, the model error has certain self-adaptability, and the optimal reference signal under certain parameters can be given; the model predictive control algorithm is used to improve the inner loop performance, and the actual current can quickly track the reference signal.

The application discloses a BWPT system power control method suitable for a variable receiving end of an electric vehicle. The system is composed of a network side and a vehicle side DC bus, a filter capacitor, a bidirectional full-bridge converter, a resonance compensation network, a magnetic coupling mechanism and a sampling and digital control module. The receiving end receiving coil structure is variable, and LCC or S compensation can be adopted. In the forward charging and reverse power feedback mode, the control module is based on the DC side voltage sampling and the power analysis model, and the rated output power is the primary target, and the system driving frequency and the external phase angle are adjusted. The method can realize stable and practical power control under the condition of "fixed primary side and variable secondary side".

The invention discloses a high-reliability complex coefficient repetitive control grid-connected inverter control system and method suitable for a power supply protection scene, and the method comprises the steps: building an LCL type grid-connected inverter mathematical model under an alpha-beta static coordinate system for a three-phase grid-connected inverter, and saving Park transformation and decoupling calculation under a dq coordinate system; a complex coefficient filter H (s) and a complex coefficient repetitive controller are designed to form a double-input double-output control structure, and a complex coefficient imaginary part omega m is set to be equal to a fundamental frequency omega 0, so that the gain of the controller at the fundamental frequency is infinite, and complete tracking of periodic signals is realized; and the dynamic response capability of the system is improved by combining an output feedback control law. According to the method, the grid-side voltage imbalance and harmonic pollution can be effectively suppressed, the grid-connected current THD can be remarkably reduced, and the method has good dynamic control performance and robustness, is suitable for a grid-connected power generation system of new energy such as solar energy and wind energy, and plays an important supporting role in improving the power supply reliability and supply guarantee capability of a power system under the new energy access background.

This invention relates to an adaptive intelligent control method and system for parrot breeding environments, belonging to the field of parrot breeding environment control technology. The invention constructs individualized digital profiles by collecting parrot breed, age, health, and behavioral information. This profiles are then combined with a knowledge base comprised of a rule base, a case base, and a model base to generate a set of environmental control target parameters. Based on this, decoupling feedforward compensation for temperature and humidity is used to suppress coupling disturbances among multiple environmental parameters. The environmental control target values ​​are corrected using the parrot's real-time metabolic heat and humidity release, and the correction weights are dynamically adjusted based on total heat exchange efficiency, achieving coordinated control through multi-physics coupling compensation. Simultaneously, the knowledge base is self-evolved and updated through full-process data recording and effect evaluation. This invention achieves adaptive and precise control based on individual parrot differences, effectively suppressing coupling disturbances in the temperature and humidity control process, reducing environmental control energy consumption, minimizing parrot stress risks, and possessing the ability to continuously optimize control strategies.

The invention provides a link tracking method and device for a railway comprehensive video monitoring system, and belongs to the technical field of computers, and the method comprises the steps: sending an extension session initial protocol request to a video node; the extension session initial protocol request comprises a tracking request code and system code information of a tracking data acquisition system; receiving first routing information of the video node; the first routing information is sent by the video node after the video node analyzes the extension session initial protocol request to obtain the tracking request code and the system code information. According to the invention, the system coding information and the tracking request coding are added in the SIP request by the added tracking data acquisition system, the extended SIP request is formed and sent to the video node, and the video node responds to the extended SIP request and feeds back the routing information, so that the tracking data acquisition system can perform link tracking based on the routing information without capturing and analyzing a network packet; therefore, rapid link tracking among different levels of video platforms of different manufacturers in the railway comprehensive video monitoring system can be realized.

This invention discloses an intelligent management method and system for medical electronic devices. The method includes the following steps: Step 1: Authenticating the identity of the personnel who use / return the medical electronic device using biometric technology; Step 2: After successful authentication, allowing the personnel to use or return the medical electronic device; Step 3: During the return operation, forcing the medical electronic device to connect to a preset interface, triggering an automatic charging process, an automatic data collection process, and an automatic disinfection process; Step 4: During the use operation, unlocking the corresponding storage unit, detecting the device's removal status, and closing the disinfection process; Step 5: Real-time monitoring of the charging status, storage location, and usage status of the medical electronic device, generating and storing device retrieval and return records, status data, and related collected data; Through the implementation of this invention, fully automated integrated processing of charging, disinfection, and data collection after device return is achieved, significantly improving the management efficiency, security, and availability of medical electronic devices.

The invention discloses an audio resampling frequency tracking method, an audio chip and an audio processing system, and the method comprises the steps: S100, configuring an interpolation kernel unit between an FIFO unit and a DAC unit, receiving and caching pre-stage audio data through the FIFO unit, and playing resampled audio data through the DAC unit; s200, the interpolation kernel unit is configured to meet the following formula; and S300, controlling the interpolation kernel unit to adjust the preset value to a target value, thereby stabilizing the FSin to a target sampling rate capable of keeping the FIFO unit in a non-empty and non-full state. According to the invention, by configuring the algorithm for tracking the signal frequency of the interpolation kernel unit, the FIFO unit is ensured not to be empty or full, the DAC is enabled not to be cut off, the tracking of the signal frequency algorithm is realized based on the technical route, the signal frequency is rapidly tracked without using an analog PLL (Phase Locked Loop), and the rapid tracking of the signal frequency is realized at low cost.

The invention belongs to the technical field of intelligent electric vehicle chassis control and drive-by-wire control, and particularly relates to a turning braking coordination control strategy for an angle module vehicle electronic mechanical braking system. According to the invention, a 4WID-4WIS angle module vehicle is taken as a research object, a hierarchical cooperative control architecture oriented to angle module overdrive characteristics is innovatively provided, deep fusion optimization of longitudinal-transverse-yaw dynamics is realized through real-time information interaction and decision cooperation among four-wheel independent control units, and limitation of traditional centralized control is broken through.

The invention provides a gas flow control method and system applied to a solid-state working medium electric propulsion system, and the method comprises the steps: firstly constructing a second-order nonlinear prediction model from heating power to output flow in order to solve the problems of strong nonlinearity, multivariable coupling and strict safety constraints in a solid-state iodine sublimation process; the model accurately depicts a complete physical process of heating sheet thermal inertia, contact thermal resistance, iodine phase change dynamics and pipeline gas dynamics. And on the basis, rolling optimization is executed in each control cycle: a future flow trajectory is predicted based on a current state and a model, and an optimization problem with constraints is solved online to obtain an optimal heating power sequence. According to the method, high-precision and overshoot-free tracking of the flow is achieved, it is strictly guaranteed that the system operates within safety constraints, and the performance and reliability of the solid-state electric propulsion system are remarkably improved.

The invention provides a reactor outlet temperature control method and system of a miniature high-temperature gas cooled reactor nuclear power supply device, the nuclear power supply device and a nuclear power supply system, and belongs to the technical field of miniature high-temperature gas cooled reactor control. The control method comprises the following steps: acquiring a helium temperature set value, a helium temperature measured value, a reactor power measured value and a load set value of a reactor outlet; determining a reactor power target value according to a helium temperature set value and the helium temperature measurement value; determining a target rod speed according to the reactor power measurement value, the reactor power target value and the load set value; and driving the control rod to move according to the target rod speed so as to adjust the reactor power and realize helium temperature control of the reactor outlet. The control method is used for solving the problems that the temperature-power disturbance amplification effect caused by the low inertia of the miniature high-temperature gas cooled reactor and the mismatch contradiction of the dynamic response of the first / second loop cannot be inhibited in the prior art.

This invention belongs to the field of aquatic ecological damage assessment technology, specifically relating to a rapid assessment method for aquatic ecological damage based on the environmental DNA of indicator species. The method first establishes a clean indicator species library, then deploys sampling points along the damage source to the diffusion area, obtaining the eDNA copy number of each clean indicator species at the sampling points. Next, based on the eDNA copy number of clean indicator species, the eDNA copy number-biomass model, and the enrichment fold, the biomass of the clean indicator species is calculated. Subsequently, the ecological baseline of each clean indicator species is obtained, and the ecological damage index of the sampling points is calculated based on the biomass exceedance rate of all clean indicator species. Finally, based on the ecological damage index of each sampling point and its distance from the damage source, an ecological damage distance decay regression model is fitted to predict the ecological damage index downstream of the damage source in the assessed water area. This invention enables rapid assessment of the degree and extent of ecological damage.

The present application belongs to the technical field of power system energy storage, and discloses a gravity energy storage system inertia support optimization method and device based on VSG control, comprising the following steps: obtaining real-time power grid state parameters, the power grid state parameters including power grid frequency, active power and reactive power, dynamically calculating the virtual inertia support power required by the gravity energy storage system based on the VSG control algorithm; dynamically adjusting the control parameters of the VSG based on the power grid frequency and the virtual inertia support power; using the model predictive control method, taking the virtual inertia support power as the control target, rolling optimization of the power distribution strategy, and recording the state of charge change data of the gravity energy storage system in the optimization process; effectively solving the frequency stability problem caused by insufficient system inertia when a high proportion of new energy is connected to the power system in the prior art.

This invention relates to a speed control method and electronic device for permanent magnet synchronous motors (PMSMs) based on singular perturbation theory. The method includes: establishing a singular perturbation model of the PMSM and decoupling it into a fast-changing subsystem and a slow-changing subsystem; constructing an amplitude control set model predictive controller to obtain a voltage amplitude candidate set and establishing a current prediction model; calculating a q-axis current reference value based on a deadbeat controller; constructing a cost function based on the q-axis current reference value; using the cost function and the current prediction model to traverse the voltage amplitude candidate set; selecting the voltage combination with the minimum cost function as the optimal voltage control signal; and driving the PMSM based on the optimal voltage control signal. Compared with existing technologies, this invention has advantages such as improved current tracking accuracy, suppression of harmonics and torque ripple, ensuring rapid tracking of speed commands, and simultaneously meeting the requirements of high dynamics, high precision, and robust control of motor speed.

This invention provides a non-contact interactive system based on a photoelectric sensor array, comprising: a photoelectric sensor array, the photoelectric sensor array including: a transparent substrate; a conductive layer formed on the transparent substrate; a patterned confinement layer formed on the conductive layer for forming a patterned array of photoelectric active materials; a patterned array of photoelectric active materials formed on the patterned confinement layer, wherein each patterned unit in the array forms a miniature photoelectric sensor unit under the drive of an external bias voltage; a surface light source located on the back side of the substrate of the photoelectric sensor array; and a reflector movably located on the front side of the substrate of the photoelectric sensor array. This interactive system utilizes the high responsivity and fast response speed characteristics of the photoelectric sensor array to enable the interactive interface to quickly track signals from moving objects, and achieves photocurrent growth through light reflection from the reflector onto the surface light source, thereby realizing a responsive, contactless, three-dimensional human-computer interaction.

The invention discloses a mantis shrimp eye imitating polarization flexible navigation system, and belongs to the technical field of underwater vehicle navigation. The system comprises a horizontal rotating base assembly, a support assembly, a spherical polarization sensing assembly and an eyestalk-imitating manifold protective cover. An underwater vehicle butt-joint base plate of the horizontal rotating base assembly is fixedly connected with the surface of the underwater vehicle, and a driving mechanism is integrated in the horizontal rotating base assembly; a vertical shaft of a Y-shaped bracket of the bracket assembly penetrates through a mounting hole in the upper surface of the horizontal rotating base assembly and is axially limited; bearing seats are arranged at the tail ends of two horizontal arms at the top of the Y-shaped bracket, and the bearing seats are matched with the spherical polarization sensing component to form rotatable mechanical connection, so that the spherical polarization sensing component is endowed with pitching motion capability in a vertical plane; the whole eyestalk-like manifold protective cover wraps the support assembly and the spherical polarization sensing assembly and is fixedly connected with the horizontal rotating base assembly. According to the invention, efficient sensing and rapid tracking of the underwater polarized light field are realized.

The invention discloses a method for comparing graphic data of a front chip and a rear chip based on a feature matching technology, and relates to the technical field of semiconductor chip manufacturing, and the method comprises the specific steps of data acquisition, model construction, feature matching, detection execution and result output. According to the method, an improved SuperPoint model is constructed, feature descriptors are introduced for normalization processing, effective key point pairs are screened in combination with a joint matching model, a projection transformation relation between a source image and a target image is established by using a homography matrix, and then full-region uniform sampling and feature comparison are realized through gridding difference detection, so that the target image is obtained. According to the process, by standardizing feature extraction standards, strengthening matching stability and guaranteeing sampling comprehensiveness, the specific type and range of a difference area are clarified in combination with clustering labeling, precise positioning and information quantification of chip layout differences are achieved, it is ensured that various subtle changes can be effectively recognized, and a reliable technical path is provided for chip layout consistency detection.

The application relates to the technical field of dangerous chemical product logistics management, in particular to an intelligent monitoring method for engineering oil logistics in the whole process, which comprises the following steps: a dispatch matching step: receiving a dangerous chemical product transportation order, checking personnel qualifications and vehicle adaptability based on the goods type and transportation requirements in the order, and generating a dispatch scheme binding personnel, vehicles and goods; a loading and unloading linkage step: generating a loading or unloading sheet according to the dispatch scheme, sending an unsealing instruction to a vehicle-mounted lead seal device in response to a loading and unloading operation starting operation, receiving operation data collected in the loading and unloading process, sending a sealing instruction to the vehicle-mounted lead seal device and updating the loading and unloading sheet state in response to an operation completion confirmation operation; and a transportation monitoring step, an alarm disposal step and a closed-loop settlement step, wherein the waybill data comprises order information, a dispatch scheme and loading and unloading records, and the application can improve the convenience of engineering oil whole-process monitoring.