29results about How to "Resolve inaccuracies" patented technology

The invention discloses an enterprise data intelligent analysis system based on deep learning, which relates to the technical field of data analysis, and realizes real-time acquisition and transmission of data through a data acquisition and processing module, division of department areas and integration of a staff performance system, a training system and an attendance system through multiple APIs (Application Program Interface); the effective data analysis module analyzes performance data and calculates a performance index Jxzs, the loss prediction analysis module predicts employee loss in combination with historical demission data and a performance evaluation result, the recruitment demand analysis module predicts recruitment demands in advance and calculates a recruitment demand index Zpzs, and the learning model optimization module optimizes a model and updates a data set. The real-time performance and the accuracy of the model are ensured; the system evaluates each index by presetting a plurality of thresholds, generates a corresponding evaluation result and proposes improvement measures, thereby effectively reducing the employee loss risk, and improving the recruitment efficiency and employee satisfaction.

The invention provides a scheduling method and system for a photovoltaic energy storage system, and relates to the technical field of photovoltaic energy storage, and the method comprises the steps: obtaining the rated power generation parameters of a photovoltaic panel in the photovoltaic energy storage system, and the future illumination and temperature data of an area where the photovoltaic panel is located, and predicting the future power generation amount of the photovoltaic panel; the overall scheduling strategy of the scheduling system is determined according to the obtained battery real-time storage capacity of the energy storage system, the future equipment electricity consumption and the predicted generating capacity of the photovoltaic panel, when the future generating capacity of the photovoltaic panel cannot meet the electricity demand, the electricity is scheduled from the power grid preferentially, and a pre-scheduling model is established; when the future generating capacity of the photovoltaic panel can meet the requirement, the residual generating capacity of the photovoltaic panel is sent to the power grid, scheduling is carried out between the residual storage capacity of the energy storage system and the power grid, the peak valley pressure of the power grid is relieved, and by establishing a first scheduling model, the electric quantity is scheduled, and a first scheduling optimization model is established; and optimizing and adjusting the scheduling result of the first scheduling model.

The invention relates to a cable line partial discharge waveform classification method and device, and the method comprises the following steps: collecting the partial discharge waveform data of a cable line, extracting the fat degree of the waveform, the maximum slope of the waveform leading edge, and the maximum signal-to-noise ratio, and inputting the data into a pre-trained partial discharge waveform classification model, classifying the partial discharge waveform and the noise waveform to obtain a partial discharge waveform classification result; the training process of the partial discharge waveform classification model comprises the steps of obtaining training data, inputting the training data into an SVM classification model for training, performing parameter adjustment on the SVM classification model through a global optimal parameter algorithm model to obtain optimal parameters for training of the SVM classification model, and finally obtaining the trained SVM classification model as the partial discharge waveform classification model. Compared with the prior art, the method has the advantages that the training time of the whole partial discharge waveform classification model is greatly shortened, and meanwhile, the partial discharge waveform classification model is better in performance and higher in accuracy.

The invention belongs to the field of business method processing, determines a target network community hotspot object through an artificial intelligence technology and a corresponding algorithm model, and constructs a business district with an AI Mall core shop and a traditional entity common node shop within the range based on digital assets, a block chain technology and the obtained target network community hotspot object. Business district construction and passenger flow attraction are performed through a core shop taking AI Mall as a center, so that flow conversion from a market public domain to a business district private domain is realized, and the problems of difficulty in financing, high drainage cost, capital burning and the like of traditional small, medium and micro entity enterprises are solved. The invention provides a business district construction method and a corresponding entity business district by taking extraction and display of hot objects, uplink sharing of information data and a bridge taking digital asset real world assets as entity economy WEB3 as basic features. According to the method, the randomness and inaccuracy of dependence on human experience in the hot object and IP extraction process of the traditional joint activity are solved, the traditional form of single fighting and the loose membership state of the shop are abandoned through the systematic business district construction process, and the construction efficiency is improved on the basis of reaching the consensus. And a business entity alliance with close dependency relationship and maximum sharing of passenger flow and revenue is formed.

The invention discloses a configuration parameter verification and repair method, device and equipment and a storage medium, and the method comprises the steps: obtaining a product identifier of a to-be-verified product and a plurality of actual configuration parameters, and determining an actual configuration parameter verification code of the to-be-verified product; under the condition that the actual configuration parameter check codes are inconsistent with the standard configuration parameter check codes, parameter grouping is conducted on the multiple actual product configuration parameters based on the preset group length, and the standard configuration parameters corresponding to the actual configuration parameters are determined; determining a to-be-repaired configuration parameter group in the plurality of actual configuration parameter groups according to the standard configuration parameter and the standard configuration parameter check code, and performing parameter repair on each to-be-repaired configuration parameter according to the effective parameter until a parameter repair result is matched with the standard configuration parameter check code, the accuracy of configuration parameter verification and the success rate of parameter repair can be improved.

The invention discloses an automatic parallel method based on a dual graph Mangbar network and strategy gradient optimization, and the method comprises the steps: firstly obtaining a public AI model data set, carrying out the operator fusion of each calculation graph G, and obtaining a feature matrix X; secondly, constructing a double TMAN comprising a TMAN branch and a decoupling graph neural network branch, and obtaining feature representations XM and XD from the feature matrix X in the two branches; xM and XD are averaged, the averaged XM and XD are input into an LSTM network for feature fusion, a feature representation # imgabs0 # of the double Titman-Bar network is obtained, finally the feature representation # imgabs1 # is input into a reinforcement learning iteration solving module, and an optimal parallel strategy is obtained through continuous iteration and optimization of an intermediate reward value. According to the method, the graph embedding expression capability is enhanced, and the problems of inaccuracy and stability caused by overlarge new and old strategy change difference of a traditional strategy gradient algorithm in the equipment placement problem are effectively solved.

The present invention provides a method for identifying the structural attributes of different groups of faults in a compression-torsion fault zone, comprising: step 1, conducting a standard reflection axis interpretation of a target layer in a three-dimensional seismic acquisition area; step 2, conducting a coherent volume processing of three-dimensional seismic post-stack data for the target layer; step 3, extracting coherent slices of the target layer along the standard reflection axis; step 4, performing a three-dimensional seismic volume equal time slice scanning; step 5, marking the fault combination patterns and strike-slip orientations of different groups of faults in the target layer of the compression-torsion fault zone; step 6, drawing an approximate finite strain characteristic map of the target layer; and step 7, semi-quantitatively identifying the structural attributes of different groups of faults. The method for identifying the structural attributes of different groups of faults in a compression-torsion fault zone realizes the scientific identification of the structural attributes of different groups of faults corresponding to the target layer in a complex compression-torsion fault zone, thereby serving the evaluation of the activity characteristics of fluid mineral resources along the compression-torsion fault zone.

The invention provides a flow characteristic simulation method and device for a ship water supply emptying valve, and is applied to the technical field of ship fluid system design and simulation. The method comprises the steps that a valve-pipe coupling model is built, fluid operation parameters of the valve-pipe coupling model are determined, and the valve-pipe coupling model comprises an air exhaust valve body, an upstream water main pipe of the air exhaust valve body and a downstream boiler connecting pipe; the stress of the valve clack is calculated in real time by constructing a six-degree-of-freedom dynamic model, and the spatial position and posture of the valve clack in each time step length are solved and updated based on the stress of the valve clack; according to the spatial position and posture of the valve clack, a dynamic grid technology is adopted to conduct self-adaptive adjustment on a computational domain so as to process flow field boundary changes caused by movement of the valve clack; and based on the adjusted computational domain, combining a preset turbulence model and a multi-phase flow model to solve a fluid control equation so as to obtain flow field distribution, pressure change and a gas-liquid two-phase interface evolution rule in the emptying valve.

The invention discloses a deformation control method and device for track welding of an aero-engine support based on a DIC. The deformation control method comprises the steps that an engine support finite element model is established; the engine support finite element model is formed by splicing a spherical joint model, a supporting rod model and a single-fork joint model. Welding simulation is conducted on the splicing positions for multiple times, an initial welding scheme is selected, and the initial welding scheme comprises the number of welding segments, the welding sequence and welding parameters; 3D-DIC measuring equipment is added in the process of carrying out a track welding test by adopting an initial welding scheme, and whole-process and whole-region three-dimensional strain data of a base metal sample and a welding seam sample in the welding process are obtained; dIC is adopted to measure strain data near a weld joint, comparison verification is conducted on the strain data and a simulation result of an initial welding scheme, precision optimization of a finite element model and calculation conditions is achieved through welding parameter verification of multiple reference points and multiple time periods, and the optimal welding scheme is obtained through finite element simulation.

The utility model provides a friction coefficient detection device for thixotropic slurry, and relates to the technical field of pipe jacking engineering. The device comprises a moving device, the moving device comprises a pulley structure and a moving belt, the moving belt is arranged along the circumferential wall of a roller of the pulley structure to form a circulating moving system, a test sample structure and a standard test piece are arranged on the moving belt, the test sample structure is fixedly connected with the moving belt, and the standard test piece is arranged on the moving belt. The bottom of the standard test piece is in contact with the top of the test sample structure; the force measuring structure is connected with the standard test piece through a fixing device, when the pulley structure is moved, the moving belt and the test sample structure are driven to move, and friction is generated between the test sample structure and the standard test piece. According to the structure, the problems of inaccuracy and uncertainty of mud performance evaluation in engineering calculation and actual operation processes are solved.

The invention discloses a medium-pressure bypass capacity calculation method and device for a secondary reheat unit, and the method comprises the steps: calculating the steam pressure of an inlet of a low-pressure bypass according to the preset steam parameters of the low-pressure bypass of the secondary reheat unit; according to the low-pressure bypass inlet pressure and a secondary reheater preset steam parameter of the secondary reheating unit, a secondary reheater inlet steam parameter is calculated; according to the secondary reheater inlet steam parameters and medium-pressure bypass preset steam parameters of the secondary reheating unit, medium-pressure bypass inlet steam pressure and medium-pressure bypass inlet steam flow are calculated; and under the condition that the medium-pressure bypass inlet steam pressure and the medium-pressure bypass inlet steam flow meet preset conditions, the medium-pressure bypass capacity is calculated according to the medium-pressure bypass inlet steam flow. According to the technical scheme provided by the embodiment of the invention, the reasonability and accuracy of medium-voltage bypass capacity selection and the safety of system operation are effectively improved.

The present invention discloses a distributed botnet model construction method and device, which obtains a computing task graph by setting hyperparameter requirements on a client; sends the computing task graph to a master; obtains a task information set according to the computing task graph; obtains a task instruction according to the task information set, and distributes the task instruction to a corresponding worker; performs model training through the worker based on the task instruction, obtains hyperparameter information, and returns the hyperparameter information to the client; the client formulates the next round of model calculation tasks according to the hyperparameter information; retrains based on the hyperparameter information obtained in the previous round to obtain a model learning decay rate, and stops training when the model learning decay rate meets a preset value. The method solves the technical problems of large time consumption for parameter search, inaccurate establishment of botnet models, and long modeling time in the prior art. The method achieves the technical effect of distributed automatic parameter search, shortening the parameter search time, and finding the optimal hyperparameter to improve the accuracy of the model.

This invention discloses a pressure regulating and stabilizing device for a casing gas venting valve in oil wells, belonging to the field of oilfield well maintenance technology. It includes a connecting pipe connected to a nitrogen source, a venting valve, and a pressure gauge. The venting valve is equipped with an adjustment knob. This invention involves adding nitrogen to the connecting pipe to reach the required pressure for the venting valve. Once the required pressure is reached, the venting valve is adjusted using the adjustment knob until it begins to release gas and pressure normally. This pressure regulating method ensures accurate setting of the venting valve. This invention also discloses a pressure regulating and stabilizing method for a casing gas venting valve in oil wells. Using the aforementioned pressure regulating and stabilizing device, first, the venting valve and pressure gauge are connected to the connecting pipe. Then, nitrogen is injected into the connecting pipe. After observing the pressure gauge reading and reaching the required stabilizing pressure value, nitrogen injection is stopped. The venting valve is then adjusted using the adjustment knob until it begins to release gas and pressure normally.

The invention provides a method for constructing a consistency score of a manuscript review report, and relates to the technical field of manuscript review. The method for constructing the consistency score of the manuscript review report specifically comprises the following steps: S1, constructing a consistency score index; s2, data preprocessing and feature extraction; and S3, model training and performance evaluation. According to the method, the multi-level scoring index system is constructed, text classification and feature extraction are combined, comprehensive evaluation of the quality of the review report is achieved, the evaluation precision and objectivity are improved, secondly, the model is trained through LSTM, the classification accuracy is as high as 95%, the review classification accuracy is remarkably improved, in addition, the method has multidisciplinary applicability, and the method is suitable for popularization and application. The method can be applied in a cross-domain mode, the problem that a traditional model is limited to a single domain is solved, finally, through comprehensive analysis of linguistic and emotional features, the detailed degree of text analysis is remarkably improved, and powerful support is provided for manuscript review report quality evaluation.

The utility model discloses a strip cutting machine for fabric cutting, and relates to the related technical field of fabric processing. The cutting device comprises a cutting table, a side plate, a positioning assembly, a linear module and a cutting motor, the side plate is fixed to one side face of the cutting table, the upper portion of the side plate exceeds the height of the cutting table, and symmetrically-distributed positioning rods are fixed to the face, facing the cutting table, of the upper portion of the side plate; a first cutting groove is formed in the transverse central axis of the cutting table in a penetrating mode, and positioning assemblies distributed at equal intervals are further arranged on the cutting table. The positioning assembly, the linear module, the cutting motor, the cutting table, the side plate and the positioning rod are arranged, so that the problem that the follow-up slitting position deviates due to the fact that fabric on a cutting route is accumulated when the fabric is cut into strips is solved; and during batch strip cutting, the cutting width of each time needs to be frequently and continuously adjusted, and manual adjustment is time-consuming, labor-consuming and inaccurate.

The invention discloses an intelligent correction management method and system based on big data, and relates to the technical field of correction management systems, and the system comprises a data collection module, a data processing module, an intelligent evaluation module, a personalized correction module, a monitoring management module, a report generation module, a user interaction module and a system security module. According to the intelligent correction management method and system based on the big data, a data acquisition module comprehensively collects personal, behavior, psychological and social data of a correction object through a sensor unit, a questionnaire system and a historical record database interface, and the comprehensiveness and accuracy of the data are ensured through the multi-dimensional data acquisition method; and an original material is provided for subsequent analysis and evaluation, so that the problem that data acquisition in an existing system is incomplete and inaccurate is solved.

The invention discloses a power plant operation management automation examination system, and relates to the technical field of power industry automation. According to the method, the assessment time interval of the related parameters is preset, and after the preset assessment time interval of the related parameters is reached, the related parameter changes of the power plant in the set time period are collected and analyzed, so that the power generation assessment index and the equipment assessment index of the power plant in the set time period are obtained, and a preset assessment mechanism is corresponding to the power generation assessment index and the equipment assessment index. Therefore, the power generation assessment result and the equipment assessment result of the power plant in the set time period are output, and the problems that in the prior art, data are collected and analyzed manually, so that the efficiency is low, and the assessment results are inaccurate and inconsistent due to the fact that the data are easily influenced by subjective judgment are solved.

The invention relates to the technical field of semiconductor packaging, in particular to automatic needle setting equipment for an IGBT module and a working method thereof.The automatic needle setting equipment comprises a horizontally-arranged long guide groove, a driving body and a driven body, the driving body and the driven body are arranged on the long guide groove in a sliding mode in the length direction of the long guide groove, and the driving body slides on the long guide groove in a reciprocating mode; the driving body and the driven body are connected through a magnetic attraction structure. According to the invention, the problems of one-sidedness and inaccuracy of detection during the traditional PIN toggle detection are effectively solved, reciprocating toggle detection in two directions can be conveniently carried out by utilizing a bidirectional PIN toggle mode, a periodic loading mode of the toggle acting force is realized, the detection accuracy is improved, and meanwhile, the periodic loading of the bidirectional acting force can be realized, so that the detection accuracy is improved. The anti-fatigue performance of the PIN can be detected more effectively, and the detection accuracy is improved.

The utility model provides a neck posture nursing and correcting device which comprises a supporting assembly, a fixing assembly and a fixing assembly. The supporting assembly comprises a thoracic cavity supporting part and a lower jaw supporting part fixedly connected to one end of the thoracic cavity supporting part; the traction device comprises a traction belt, a first air bag and a second air bag, the two ends of the traction belt are connected with the thoracic cavity supporting part, the first air bag is installed on the traction belt, the second air bag is installed on the first air bag, and a plurality of massage heads are distributed on the second air bag; the fluid control device is respectively communicated with the first air bag and the second air bag through a first pipeline and a second pipeline, and is used for controlling the first air bag and the second air bag to charge and discharge fluid. The problem that the lower cervical vertebra is stressed excessively is solved, it is guaranteed that the sight of a user is in a horizontal state all the time, daily life, study and work are basically not affected, the use requirements of the user in all aspects are met, the structure is simple, carrying is convenient, regular massage can be conducted on the rear cervical vertebra of the human body, and the use effect is good. And the inconvenience of manual massage is solved.

The invention provides a floating fan multi-degree-of-freedom aerodynamic load simulation device and a test method thereof. The floating fan multi-degree-of-freedom aerodynamic load simulation device comprises a cabin, an aerodynamic load generation module, an aerodynamic load control module and a gyroscopic moment generation module, a load generation unit of the aerodynamic load generation module is mounted outside the cabin through a support arm, and the load generation unit is used for generating aerodynamic loads in the length direction and the width direction of the cabin; the gyroscopic moment generation module comprises a motor and a mass rod which are mounted on the cabin, and the motor is used for driving the mass rod to rotate to generate rotational inertia; and the aerodynamic load control module is used for controlling the size of the generated aerodynamic load. According to the method, the accurate simulation of the multi-degree-of-freedom aerodynamic load of the floating fan under various working conditions can be realized without the help of a complex and expensive physical wind field, and the dependence on the physical wind field and model blades is eliminated; the problem that the load applying direction needs to be readjusted under the working conditions of different wind directions and the problem that complex loads under the extreme working conditions and the fault working conditions cannot be accurately simulated are solved.

An intelligent acquisition temperature sensing bulb belongs to the field of density controllers, and is characterized by comprising a temperature sensing bulb cover, an air chamber connecting piece, a hose joint and a capillary tube which are connected in sequence, the temperature sensing bulb cover is a cylindrical cover body; the front end of the thermal bulb cover is closed, and a glass sintered part is fixedly arranged at the tail end; a PCB is arranged on the side, facing the front end of the thermal bulb cover, of the glass sintered part. And a temperature and pressure integrated sensor is arranged on the PCB. The temperature and pressure integrated sensor arranged on the temperature sensing bulb is used for collecting the temperature in the temperature sensing bulb to serve as a temperature source for electronic temperature compensation calculation of the remote meter, meanwhile, the capillary tube feeds back a pressure value changing along with the temperature in the temperature sensing bulb to a standard compensation air chamber of the density controller, and accurate temperature compensation action is formed. The purpose that mechanical indication of the meter and temperature compensation of an electronic remote transmission part are both represented by the temperature in the air chamber of the equipment is achieved, and the problem of inaccuracy caused by the fact that an existing traditional density controller collects environment temperature to replace the temperature of the air chamber is solved.

An advertisement pushing method, a server, a storage medium and a program product relate to the field of advertisement pushing, and the method comprises the following steps: based on a preset advertisement database, determining a plurality of content elements in an advertisement and proportions respectively corresponding to the plurality of content elements; obtaining the staying duration of the user on the plurality of advertisements; determining the advertisements with the staying duration exceeding the preset duration as possible interested advertisements; determining interested content elements of the user according to the possibly interested content elements in each possibly interested advertisement and the proportions corresponding to the possibly interested content elements; and determining the advertisement of which the total proportion of the interested content elements exceeds a preset total proportion threshold as a recommended advertisement, and pushing the recommended advertisement to the user. By implementing the method, the accuracy of advertisement pushing can be improved.

This invention relates to the technical field of intelligent transportation IoT, and provides a method and system for pedestrian red-light violation warning based on intelligent transportation IoT. The method includes: acquiring multi-source local sensing data at a traffic intersection; determining the current state of traffic lights based on the multi-source local sensing data to obtain an autonomous judgment result of the traffic light state; acquiring and monitoring external traffic light state information, and when the update of external traffic light state information is delayed or inconsistent with the autonomous judgment result of the traffic light state, prioritizing the autonomous judgment result to obtain a prioritized traffic light state; judging the pedestrian's red-light violation behavior based on the prioritized traffic light state and combined with the received pedestrian movement trajectory prediction of the crosswalk area; and triggering a warning based on the red-light violation behavior. This invention improves the timeliness and accuracy of pedestrian red-light violation warnings.

This invention discloses a source-address-independent distributed state monitoring method. Based on a source-address-independent random access protocol, all sensors share a common codebook, and the fusion center only needs to recover the transmitted message sequence without concern for the identity information of active sensors. First, the sensors are activated to observe some state variables and transmit the observation results uplink to the fusion center. The fusion center processes the observation information, estimates the global state vector, and broadcasts a reliability index for the state variable estimation. Then, the sensors determine their activation probability in the next time slot based on the reliability index of the estimated observable state variables. The task is completed when the estimation of all state variables in the system is reliable. This scheme achieves efficient and accurate observation of the system's global state vector using a small number of time slots.

The invention discloses a docking system and a docking method for a picking and hanging tractor head and a towed plate trailer, and belongs to the technical field of logistics. The docking system comprises a headstock device and a plate trailer device, the headstock device is installed at the headstock of the picking and hanging tractor, the plate trailer device is installed on a towed plate trailer, the headstock device and the plate trailer device are connected through a physical line, and a single-chip microcomputer in the plate trailer device sends the plate trailer number and plate trailer state (empty or loaded) information to the headstock device through a connecting line. And after the head equipment receives the corresponding information, the information of the plate trailer is displayed on a digital display screen of the head, so that the information of the head subjected to picking and hanging traction each time and the information of the plate trailer subjected to corresponding traction are recorded. According to the system, the problem of inaccuracy and non-timeliness of manual data recording is solved, and the logistics informatization process of logistics enterprises is improved.

The invention provides a liquid supply arm, a chemical mechanical polishing device and equipment. The liquid supply arm comprises a swing arm and is used for conveying polishing liquid to the polishing pad; the swing arm is in contact connection with the rotating shaft and can rotate relative to the rotating shaft; the positioning mechanism is arranged on the swing arm and the rotating shaft and used for controlling the swing arm to be repositioned to the working position when the swing arm deviates from the working position; the working position is the position of the swing arm relative to the rotating shaft when the swing arm conveys polishing liquid to the polishing pad; the reset assembly is connected to the swing arm, and a contact end is formed on the reset assembly; the positioning piece is arranged between the rotating shaft and the swing arm and connected to the rotating shaft, the contact end of the reset assembly can slide relative to the positioning piece, the positioning piece is provided with a positioning groove, the swing arm is arranged at the working position when the contact end is arranged in the positioning groove, and the reset assembly is used for controlling the contact end to slide into the positioning groove again when the contact end is separated from the positioning groove. The position of the polishing solution supply arm can be kept consistent and accurate, and it is ensured that the polishing solution is accurately fed and accurately drips to the target position.

The invention discloses a generator stator winding end portion corona assessment method and device, a medium and equipment. The method comprises the following steps: determining a relational expression between characteristic parameters and discharge capacity according to characteristic parameter data and discharge capacity data generated in a corona discharge process of the end part of a stator winding; wherein the characteristic parameters include but are not limited to ultrasonic signals, ultrahigh frequency signals, ultraviolet light pulses and ozone concentration; according to parameter data of the corona discharge process of the end part of the stator winding, determining a weight coefficient corresponding to the characteristic parameter; and determining a first target discharge amount according to a weight coefficient corresponding to the characteristic parameter and a relational expression. According to a plurality of characteristic parameters generated in the corona discharge process of the end part of the stator winding, the corona discharge capacity of the end part of the stator winding is jointly determined, and the determination accuracy of the discharge capacity is improved.

The invention relates to the field of data processing, and discloses a rapid printing method and device for an exhibit touch model, equipment and a storage medium. A to-be-printed object is scanned through 3D structured light, and object point cloud information is aligned through a feature matching-based point cloud alignment algorithm; removing redundant details in the complete article model data by using a Gaussian filtering algorithm; based on a Canny edge detection algorithm and in combination with an adaptive threshold adjustment method, geometric feature enhancement is carried out on the filtered article model data, and the intensity value of edge pixels is adjusted according to the importance of the edge and the required sharpening degree; and according to the structural strength requirement, the topological relation of the internal structure of the model is adjusted to generate a supporting structure, and article layer-by-layer printing is carried out based on sharpened article model data and article model structure data. The problems of inaccuracy and incompleteness of scanning data are effectively solved, the geometric accuracy and completeness of the model are improved, and the finally printed article model is closer to a real article.

This utility model discloses a battery health detection circuit and detection terminal, including: a voltage detection module, a load module, a control module, and a load switching module; the control module is electrically connected to the load module through the load switching module; the load module is electrically connected to the control module through the voltage detection module; the positive terminal of the load is electrically connected to the positive terminal of the battery. Beneficial effects: Through dynamic load switching and voltage difference detection, the battery health status can be predicted in advance, avoiding the interruption of backup power function due to sudden battery failure, and ensuring that the equipment can still work normally when the mains power is lost.