72results about How to "Overcome deficiencies" patented technology

The invention discloses a DC bus interference anomaly detection method based on a dynamic local outlier factor algorithm. The DC bus interference anomaly detection method is especially suitable for real-time operation state monitoring of a complex power system. Aiming at the limitation that a traditional anomaly detection method is high in calculation complexity and limited in detection precision in high-dimensional time series data processing, optimization is carried out on the basis of an outlier detection theory, a dynamic mode updating algorithm is provided, the algorithm evaluates outlier characteristics of time series data through local density, and the detection precision of the time series data is improved. The global calculation overhead is obviously reduced, and the real-time performance and the detection efficiency of the system are improved. Compared with a traditional method, the method consumes manual intervention, is high in detection precision and strong in early warning, can be widely applied to the field of health assessment and intelligent operation maintenance of power equipment, and shows a good engineering application prospect.

The invention relates to the technical field of radar weak target detection, in particular to a radar weak target detection method and device based on deep learning. According to the technical scheme, the method comprises the following steps: data preprocessing and enhancement: receiving an original echo signal of a radar, generating three-dimensional time frequency-wavelet coefficient spatial data by combining time frequency analysis with wavelet transform, and expanding a data set in multiple modes; and feature extraction network construction: constructing a 3D-CNN and LSTM fused network, wherein the 3D-CNN has a convolution operation with a variable convolution kernel size. According to the method, the data are richer and more comprehensive through time-frequency analysis in combination with wavelet transform and data enhancement, and multi-dimensional features can be accurately captured through 3D-CNN and LSTM fusion and an adaptive convolution kernel; and the training effect is ensured through the adaptive learning rate and the early stop method, and the accuracy and adaptability of weak target detection are jointly improved.

The invention is applicable to the technical field of knowledge migration, and provides a graph domain adaptive node classification method based on instance learning, which comprises the following steps of: acquiring a source domain data set with a mark and a target domain data set without a mark; the representation of the source domain data set and the representation of the target domain data set are learned through a GNN model, modeling is conducted on the source domain data set and the target domain data set, and embedded vectors of the source domain data set and the target domain data set are obtained; the embedded vectors of the target domain data set are classified through KNN, and target domain category pseudo labels are obtained; performing fine-grained instance contrast learning on embedded vectors of the source domain graph data set and the target domain graph data set; and after classification is finished, displaying a final classification result of the target domain graph data set. According to the method, the defects of an existing graph domain adaptation technology in cross-domain tasks are overcome, and the method has wide applicability and can be applied to graph data analysis tasks in various cross-domain scenes, such as social network analysis, recommendation systems, knowledge graphs and biological networks.

The invention relates to the technical field of lithium metal battery health monitoring, and particularly discloses a lithium metal battery pack health monitoring system and method based on thin film sensors, the system comprises a plurality of thin film sensors distributed among lithium metal battery pack cells, and each thin film sensor comprises a temperature measuring unit, a pressure measuring unit, a flexible circuit board and silica gel foam; the adapter plate is electrically connected with the plurality of thin film sensors; the signal acquisition unit is electrically connected with the adapter plate and comprises a constant current source circuit, a signal conditioning circuit, a filter circuit and an analog-to-digital conversion circuit; the input end of the data transmission unit is electrically connected with the output of the analog-to-digital conversion circuit; the input end of the digital signal processor is electrically connected with the output end of the data transmission unit; and the input end of the battery management unit is electrically connected with the output end of the digital signal processor. The mechanical information and the temperature information between the battery monomers can be monitored at the same time, the battery management can evaluate the health state of the battery more comprehensively based on the information, and the abnormal problem can be warned in advance.

The invention discloses a training method for a self-supervised microscopic image processing neural network, and the method comprises the steps: obtaining a fluorescent microscopic image data set through employing an optical microscopic imaging system with a time-dependent single photon counting function, and enabling the fluorescent microscopic image data set to comprise a photon counting distribution set {Gmn (t)} MN for M * N pixel points, m and N are respectively integers greater than 1, m is from 1 to M, n is from 1 to N, and t represents time; and constructing a training data set for a neural network comprising a fluorescence lifetime prediction convolution module and / or a denoising convolution module from the photon counting distribution set of the M * N pixel points in a photon flow redistribution mode.

The invention relates to an indoor positioning method and device based on transfer learning, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: constructing a channel state information image according to channel state information of a position to be positioned in a target domain; inputting the channel state information image into a target domain positioning model to obtain a positioning result of the to-be-positioned position output by the target domain positioning model; the target domain positioning model is obtained by training the following steps: pre-training an initial model by using a source domain sample set to obtain a source domain positioning model; carrying out migration training on the source domain positioning model by using the target domain sample set to obtain a target domain positioning model; the target domain sample set comprises a first target domain sample constructed according to the first channel state information, and a second target domain sample constructed according to second channel state information obtained by expanding similar samples in the source domain sample set and the first target domain sample. By adopting the method, the positioning accuracy in the target domain can be improved.

The invention discloses a mesenchymal stem cell membrane coated kaempferol bionic nano-drug as well as a preparation method and application thereof, and relates to the technical field of targeted drug preparation, the bionic nano-drug is composed of nano-particles containing kaempferol and a mesenchymal stem cell membrane coated outside the nano-particles, the mesenchymal stem cell membrane is derived from umbilical cord mesenchymal stem cells; the particle size of the bionic nano-drug is 167.67 + / -1.84 nm, the PDI is 0.181 + / -0.027, the potential is-5.41 + / -0.74 mV, the encapsulation efficiency is 79.97 + / -0.19%, and the entrapment rate is 7.27 + / -0.02%. According to the invention, the water solubility of the kaempferol is enhanced, the specific enrichment of the kaempferol at the diseased region of the AS can be enhanced, the utilization efficiency of Kae is improved, and the defects of small molecular drugs are overcome; in addition, through nanocrystallization of Kae, direct contact of cells and tissues with Kae can be reduced, and cytotoxicity is reduced.

The invention relates to a vehicle regenerative braking control method, device and system, a vehicle and a storage medium. The vehicle regenerative braking control method comprises the following steps that in response to starting of an anti-lock braking system, a wheel speed signal of the vehicle is obtained; judging whether the vehicle vibrates or not based on the obtained wheel speed signal; under the condition that the vehicle does not generate vibration, the braking of the vehicle is kept in a common ABS hydraulic braking mode; in a case where vibration is generated in a vehicle, it is determined whether to execute electric regenerative braking based on a maximum recoverable torque currently executable by a motor and a target electric braking torque, and in a case where the maximum recoverable torque is greater than a predetermined value and the target electric braking torque is less than or equal to the maximum recoverable torque, the maximum recoverable torque is greater than a predetermined value and the target electric braking torque is greater than or equal to a predetermined value. Gradually converting braking of the vehicle into an electric regenerative braking mode; otherwise, the braking of the vehicle is kept in a common ABS hydraulic braking mode. According to the invention, vibration generated during low-load braking of the vehicle can be reduced or completely eliminated.

The utility model discloses a glass curtain wall with a fireproof structure, which relates to the technical field of glass curtain walls and comprises four groups of curtain wall mounting frames, a connecting block is arranged between every two groups of curtain wall mounting frames, and connectors are arranged between two ends of each curtain wall mounting frame and the inside of the corresponding connecting block. A fixing rod is arranged between the connecting block and the connector, two sets of sealing rings are arranged between the outer wall of the fixing rod and the connecting block, mounting bases are arranged on the inner side wall of the curtain wall mounting frame, double-layer vacuum glass is arranged among the four sets of mounting bases, and mounting grooves are formed between the double-layer vacuum glass and the mounting bases. A water storage box is arranged in the connecting block, and a water storage pipe is arranged in the middle of the curtain wall mounting frame. According to the glass curtain wall with the fireproof structure, the temperature in the curtain wall mounting frame can be reduced, the mounting frame is prevented from deforming in a fire disaster, and the curtain wall structure is better protected.

The invention discloses a honeycomb sandwich structure infrared image defect detection method and system based on improved YOLOv5. The method comprises the following steps: collecting defect images of a honeycomb sandwich structure to form a sample data set; training defect images in the data set based on an improved YOLOv5 model, predicting positions and categories of honeycomb sandwich structure defects, training an optimization model by using a loss function until convergence, and obtaining and storing optimal model weight data; the improved YOLOv5 model is based on a YOLOv5 architecture, a Swin Transform module is embedded in a backbone network, and the detection performance of the model on honeycomb sandwich structure defects is improved in combination with a C3 convolutional layer, a CBS module and an SPPF module; and acquiring a defect image of the honeycomb sandwich structure to be detected, detecting and identifying the defect image by using the improved YOLOv5 model based on the optimal model weight data, and generating and outputting a detection result. According to the method, small-size defect identification in multi-scale defect identification can be effectively realized, and the defects of a traditional convolutional neural network in processing complex backgrounds and small target detection are overcome.

This invention discloses a multi-vehicle cooperative control method, system, medium, and program product. The method includes constructing a lateral and longitudinal coupled dynamic model for the multi-vehicle cooperative transportation system and extracting the model matrix of the lateral and longitudinal coupled dynamic model; constructing system constraint equations for the multi-vehicle cooperative transportation system with the cargo as the leader, including motion constraints and articulation constraints, and extracting the constraint matrix of the system constraint equations; obtaining the real-time state of the multi-vehicle cooperative transportation system; calculating the constraint forces of the multi-vehicle cooperative transportation system based on the model matrix of the lateral and longitudinal coupled dynamic model, the constraint matrix of the system constraint equations, and the real-time state; and calculating the actual control quantities of each vehicle based on the constraint forces of the multi-vehicle cooperative transportation system. This invention aims to solve the challenges of strong coupling, nonlinearity, and underactuation in existing multi-vehicle cooperative transportation systems, and improve the tracking performance of multi-vehicle cooperative transportation systems under topologically stable configurations.

The utility model relates to the technical field of rubber modification, and discloses a constant viscosity agent spraying device for preparing modified rubber. Comprising a working table and further comprises a material storage box arranged at the top of the working table, a conveying part is arranged on one side of the material storage box, a driving part is arranged on one side of the conveying part, and a mixing barrel is fixedly connected to the top of the working table; the adjusting assembly is arranged on one side of the conveying part and used for adjusting the feeding amount, the adjusting assembly comprises an adjusting plate, and the adjusting plate is located on one side of the conveying part. According to the constant-viscosity agent feeding device, the constant-viscosity agent using amount can be conveniently adjusted through the adjusting assembly, raw material waste or raw material insufficiency is avoided, and the effect is single; according to the rubber mixing device, the situation that the rubber cannot be fully mixed is avoided, the practicability of the device is improved, meanwhile, the mixing assembly is arranged to facilitate full mixing of rubber modification, the situation that the rubber cannot be fully mixed is avoided, and therefore the working efficiency and the working quality of the device are improved.

The utility model discloses an anode current collecting disc of a cylindrical nickel-zinc battery, and particularly relates to the technical field of anode current collecting discs, the anode current collecting disc comprises a top plate, a current collecting disc main body and a tab, a partition table is fixed at the bottom end of the top plate, the current collecting disc main body is fixed at the bottom end of the partition table, and the tab is fixed at the bottom end of the current collecting disc main body. And a flow guide assembly is arranged at the central position of the bottom end of the tab. Through the arrangement of the bottom tube and the baffle plate, electrolyte can flow into the battery along the liquid discharge holes symmetrically distributed on the outer side wall of the bottom tube when being injected along the liquid injection hole in the pole, and the baffle plate positioned at the bottom can assist the electrolyte to be dispersed all around, so that the time that the alkaline electrolyte is absorbed by a battery cell can be prolonged, and meanwhile, the service life of the battery cell is prolonged. The baffle plate can prevent the alkaline electrolyte from directly reaching the bottom of the battery through the cavity in the middle of the roll core, so that the electrolyte is prevented from being wasted, the liquid absorption amount of the battery core is not enough, and the auxiliary dispersion function of the positive collector plate on the electrolyte is realized.

The invention belongs to the technical field of biology, and relates to a preparation method and application of a shark nano antibody targeting pancreatic lipase. The amino acid sequence of the shark nano antibody VNAR-A4 is as shown in SEQ ID No. 10. The molecular weight of the shark nano antibody VNAR-A4 prepared by the invention is about 15 kDa, is smaller than that of a traditional monoclonal antibody, has a slender CDR3 structure, and can be better combined with hidden epitopes of antigens; the shark nano antibody VNAR-A4 is good in stability, can keep activity under an extreme pH condition, and has good affinity and specificity with PL; the shark nano antibody VNAR-A4 is expressed by using an escherichia coli prokaryotic expression system, is easier for genetic engineering modification, and can be prepared in a large scale. The shark nano antibody VNAR-A4 has the potential of inhibiting the activity of pancreatic lipase, and a novel fat hydrolysis inhibiting reagent is provided for treating obesity.

The utility model is suitable for the technical field of packaging box sealing, and provides a packaging box sealing device which comprises a conveying frame, a supporting frame fixedly connected to the upper portion of the conveying frame, a supporting rod slidably connected to the supporting frame, a sealing mechanism fixedly connected to the lower portion of the supporting rod, and a limiting mechanism slidably connected to the lower portion of the sealing mechanism. The limiting devices are arranged on the two sides of the conveying frame, each limiting device comprises a shell, two driving wheels are arranged in each shell, the horizontal positions of the driving wheels are connected through a belt, the vertical positions of the driving wheels are connected through a driving rod, a first driving motor is arranged on one driving wheel, and a driving device is arranged at the bottom of each limiting device. According to the automatic box sealing machine, when the packaging box can be normally conveyed and sealed, the two sides of a cover of the packaging box are extruded, the covers on the two sides of the packaging box are tightly combined together, then adhesive tape sealing operation is conducted, the defects of an original automatic box sealing machine are overcome, and the whole sealed packaging box is more attractive.

The present invention relates to the field of magnetic assemblies and processes for producing optical effect coatings (OECs) comprising magnetic or magnetizable non-spherical pigment particles magnetically oriented on a substrate. The present invention relates in particular to magnetic assemblies and processes for producing said OECs as an anti-counterfeiting measure on security documents or security articles, or for decorative purposes.

The present invention provides a negative electrode piece, a preparation method thereof and a lithium-ion battery including the negative electrode piece. The negative electrode piece includes a negative electrode current collector, a first negative electrode active material layer, a second negative electrode active material layer, and a negative electrode tab, where the negative electrode tab is arranged on a surface of one side of the negative electrode current collector, and a surface of one side of the negative electrode current collector near the negative electrode tab and providing with the negative electrode tab is coated with the first negative electrode active material layer, a surface of one side of the negative electrode current collector away from the negative electrode tab and providing with the negative electrode tab is coated with the second negative electrode active material layer; the first negative electrode active material layer includes a first negative electrode active material, and the second negative electrode active material layer includes a second negative electrode active material. The negative electrode piece of the present invention can effectively improve a phenomenon of lithium precipitation at a position of a tab of a lithium-ion battery with a STP structure, improve a cycle life of the lithium-ion battery; and effectively alleviate a deformation of a battery cell caused by lithium precipitation at the same time.

The utility model discloses bundling flat sheet membrane coating equipment, which is characterized in that a layer of horizontally distributed separation net is arranged in a liquid collecting tank, a liquid collecting area is formed between the separation net and the bottom of the liquid collecting tank, a liquid inlet and a liquid outlet are respectively arranged on two sides of the liquid collecting tank, a membrane clamping plate is respectively arranged on two sides of the bundling flat sheet membrane coating equipment, and the membrane clamping plate is connected with the liquid collecting tank. A horizontally-distributed cross beam is arranged on the outer sides of the diaphragm clamping plates, the diaphragm clamping plates are connected through a screw rod, a rocking wheel is arranged at one end of the screw rod, and the two ends of the screw rod penetrate through the diaphragm clamping plates to be distributed and are in threaded connection with the cross beam. According to the equipment, the multi-membrane coating procedure can be completed, the product consistency is high, two symmetrically-distributed membrane clamping plates are matched with a hand-cranking screw to clamp membranes to be coated, adhesive tapes are distributed between the membranes, membrane liquid enters from a left liquid inlet, enters from lower holes of the membranes, rises to the topmost end and is flush with the membranes, and then the liquid level is lowered; and the liquid flows out from the right liquid outlet to finish the coating process.

The present invention relates to a transformer overheating fault reverse thrust device, comprising a transparent shell that is scaled down according to the oil volume specification of the simulated transformer, a simulated oil pillow, insulating oil filled in the transparent shell and the simulated oil pillow, a plurality of variable area overheating generating devices, an online chromatographic instrument, and a control module; the upper, middle, and lower positions of the side wall of the transparent shell are respectively installed with an upper oil sampling port, a middle oil sampling port, and a lower oil sampling port, and each oil sampling port is respectively connected to a four-way conversion valve of the online chromatographic instrument; the upper, middle, and lower positions inside the transparent shell are all installed with variable area overheating generating devices, and the variable area overheating generating devices are electrically connected to the control module; the simulated oil pillow is installed on the upper part of the transparent shell and connected to the transparent shell through a connecting pipe, and a refueling port is installed on the upper part of the simulated oil pillow. The present invention well overcomes the deficiencies and shortcomings of the traditional online chromatographic detection of overheating faults of large power transformers, and can be used as practical simulation training for professionals.

The application belongs to the technical field of agricultural planting, and particularly relates to an ecological three-dimensional water planting device. The device comprises a support, the support comprises a base, a vertical rod is welded on the base, a plurality of cross braces are sleeved on the vertical rod, pipe braces are bolted on the cross braces, water planting mechanisms are placed on the pipe braces, the water planting mechanism comprises a water planting tank, a pipe holder is installed on the inner wall of one side of the water planting tank, a drip irrigation pipe is clamped on the pipe holder, a planting plate is covered on the top of the water planting tank, a plurality of planting holes are arranged on the planting plate, water planting cups are placed in the planting holes, an inlet pipe is connected to one end of the water planting tank through the drip irrigation pipe, a liquid outlet is arranged on one end of the water planting tank, and a return pipe is connected to the liquid outlet. The device directly sprays nutrient solution to the roots of plants by using the drip irrigation pipe, has simple structure, low cost and strong applicability.

The invention discloses a method for detecting pesticides, heavy metals and active ingredients of traditional Chinese medicinal materials, and relates to the technical field of traditional Chinese medicinal material detection. The method comprises the steps of pretreatment of the traditional Chinese medicinal materials, preparation of liquid medicine, detection of the liquid medicine and post-treatment of medicine residues of the liquid medicine. A self-made multifunctional solid-phase extraction column is combined for purification treatment, and the multifunctional solid-phase extraction column can effectively remove impurities in supernate through reasonable silica gel, Flory silica and activated carbon filling combination and filling amount setting, so that the enrichment and selective separation effects on target pesticide components are improved; meanwhile, accurate detection of various pesticide residues in the traditional Chinese medicinal materials can be achieved, especially the trace pesticide residues can also reach a low detection limit, the increasingly strict pesticide residue limit standard requirement is effectively met, and the problem that an existing detection method is insufficient in sensitivity is solved.

A distribution network intelligent switch device, the device includes an electronic transformer measurement unit, a protection control unit, a circuit breaker, and an intelligent terminal; the electronic transformer measurement unit is connected to the protection control unit, the protection control unit is connected to the circuit breaker, and the protection control unit is wirelessly connected to the intelligent terminal. The device also includes an online energy acquisition unit, the online energy acquisition unit is respectively connected to the electronic transformer measurement unit and the protection control unit, and the online energy acquisition unit is used to obtain energy from the distribution line. The invention provides a distribution network intelligent switch device, which can effectively reduce the size and weight of the equipment, improve the intelligence level of the switch, simplify the operation process, and realize real-time and accurate monitoring of the distribution network status and fault judgment.

The application relates to a life evaluation model establishment method and device, equipment and a storage medium, which are applied in the field of integrated circuits, comprising determining an electrical stress condition of the power device, measuring a failure time of the power device under the electrical stress condition, calculating a Weibull cumulative distribution function of the power device under the failure time, fitting and calculating a characteristic life value of the power device under the electrical stress condition according to the Weibull cumulative distribution function and a preset global shape factor, constructing a deep neural network model, training the deep neural network model by using the characteristic life value obtained by fitting and calculation, and generating an accelerated life evaluation model. The application has the technical effect of performing failure analysis and life evaluation on a device with complex process and structure, and improving the evaluation accuracy.

The utility model discloses a mine drainage pipeline carbon monoxide concentration detection sensor which comprises an outer shell of a carbon monoxide concentration detection device, and the input end of the outer shell is connected with a drainage pipeline through an air inlet pipe; a detection gas chamber is arranged between the input end of the outer shell and the gas inlet pipe, and a gas-water separation assembly is arranged in the gas inlet pipe and located below the detection gas chamber, so that the outer shell conducts gas-water separation treatment on gas sampled from the drainage pipeline through the gas-water separation assembly and guides the gas to the detection gas chamber. According to the utility model, the gas-water separation component is arranged in the gas inlet pipe, so that water vapor in a drainage pipeline is effectively separated, gas entering the detection gas chamber is ensured to be clean and dry, the defects of a traditional diffusion gas chamber sampling mode in a humid environment are overcome, and the stability and the reliability of gas sampling are improved.

The invention relates to the technical field of food, and provides a ground beetle preserved egg and a preparation method thereof.The preparation method comprises the steps of fresh egg selection, material puree preparation, egg wrapping with puree and salting, egg white gel of the obtained ground beetle preserved egg shows an attractive semitransparent golden yellow color, the yolk shows soft faint yellow to golden yellow, and the taste is good. On the basis of reserving the nutritional ingredients of the ground beetle eggs, the ground beetle eggs have soft and fine taste and light and easy texture, better-quality, healthy and delicious preserved egg products are brought to the market, and pursuit and expectation of vast consumers for high-quality food are met.

The invention provides a question and answer information generation method and device, computer equipment and a readable storage medium, and the method comprises the steps: obtaining question information to be answered, the question information at least comprising first image information; performing image processing on the first image information to obtain second image information corresponding to the first image information; the resolution of the second image information is lower than that of the first image information; inputting the first image information to a pre-trained first encoder, and obtaining feature map information corresponding to the first image information; inputting the second image information into a pre-trained second encoder, and obtaining visual embedding information corresponding to the second image information; querying in the feature map information according to the visual embedding information so as to obtain related information corresponding to the visual embedding information in the feature map information based on a self-attention mechanism; and answer information corresponding to the question information is generated according to the related information, and the question information is answered.

This application relates to the field of robot control, and in particular to an adaptive control method and system for an intelligent inspection robot. The method includes real-time acquisition of inspection environment data through a sensor fusion structure comprising a lidar, infrared thermal imager, vibration sensor, and voiceprint recognition module; fusion processing of sensor data using an improved Kalman filter algorithm integrated with a deviation repair model algorithm to generate a dynamic 3D environment map and detect abnormal equipment sounds; adjustment of the robot's wheeled compound drive torque distribution by constructing a variable parameter control model suitable for slope scenarios based on an inertial displacement compensation algorithm and a dynamic friction coefficient estimator; and execution of local real-time obstacle avoidance and cloud-based equipment health prediction through an edge-cloud collaborative decision-making system, and dynamic optimization of the inspection path based on a digital twin model. The control system includes a sensor fusion module, a data fusion and localization module, a motion control module, an edge-cloud collaborative decision-making module, and an intelligent path planning engine. This application achieves the effects of more accurate data acquisition, better robot adaptation to complex environments, and improved decision-making and path planning capabilities.

The present invention provides a remote sensing monitoring method and system for rivers, lakes and four chaos based on domain adaptation and change detection, which obtain remote sensing images of the same area to be tested in different periods; obtain feature maps corresponding to the remote sensing images of each period according to the acquired remote sensing images and a preset feature extraction network; obtain prediction maps of two periods according to the obtained feature maps of each period and a preset classifier model; subtract the prediction maps of the two periods to obtain a change map, and obtain the remote sensing monitoring results of rivers, lakes and four chaos after removing the background changes in the change map; wherein the obtained feature maps of each period are input into a domain discriminator to calculate the loss, and the feature extraction network and the domain discriminator are optimized; the present invention introduces a domain adaptation method into the field of change detection of remote sensing images of rivers and lakes, uses a feature extraction network to extract domain invariant features from remote sensing images of different periods, thereby generating a change prediction map, and realizes rapid and accurate monitoring of the "four chaos" phenomena around rivers and lakes.

The invention relates to an electronic coil state monitoring device with a high-resistance characteristic and low-current starting. The electronic coil state monitoring device comprises a low-current forming and photoelectric conversion isolation unit, a comparison and judgment unit, an outlet contact driving unit and a power supply circuit unit, the low-current forming and photoelectric conversion isolation unit is used for detecting a low-current signal of an electronic coil loop of the high / low-voltage switch circuit breaker, amplifying the low-current signal and transmitting the low-current signal to the comparison and judgment unit through photoelectric isolation; the comparison and judgment unit is used for comparing the low-current signal isolated and amplified by the low-current formation and photoelectric conversion isolation unit with a preset limit value, and judging the state of the electronic coil according to a comparison result; the outlet contact driving unit is used for controlling closing or opening of an outlet relay according to the judged state of the electronic coil; and the power supply circuit unit is used for supplying power to the units. According to the invention, integrity monitoring of a nonlinear novel electronic coil loop can be realized.