79 results about "Cell Maintenance" patented technology

Aspects of the disclosure include systems and methods for using thermally induced adhesive removal for battery maintenance. An exemplary method may involve picking up a battery pack with an adhesive layer at an interface between a cooling plate and a component. A heating fluid is passed through an enclosed volume of the cooling plate, and the temperature of the adhesive layer is measured. In response to the finding that the temperature has reached a target temperature, a load is applied to the component until the component is removed.

The invention belongs to the technical field of storage battery monitoring equipment, and particularly relates to an excavator storage battery monitoring device which comprises a storage battery body and a hollow shell used for installing the storage battery body, and the inner wall of the hollow shell is fixedly connected with a hollow supporting plate. The excavator storage battery monitoring device has the capability of monitoring the internal resistance in real time, can timely find the irreversible increase of the internal resistance of the storage battery, can timely remind the maintenance of the storage battery, has the functions of shock absorption protection of the storage battery and automatic adjustment of the temperature of the working environment, and is suitable for popularization and application. The internal resistance of the storage battery can be prevented from being irreversibly damaged, the storage battery can continuously work in the optimal temperature range, the situation that the internal resistance is seriously changed due to abnormal temperature change is avoided, the stability of connection between the wire harness and the conductive column of the storage battery can be effectively improved through the wire harness stabilizing mechanism, and the service life of the storage battery is prolonged. And the use reliability and the service life of the storage battery are effectively improved.

The invention discloses an SVM-based multi-parameter fusion switch storage battery state diagnosis method and system, and relates to the technical field of power line automation and Internet of Things technology combined intelligent monitoring, and the method comprises the steps: collecting multi-parameter data through a sensor, and carrying out the preprocessing of the multi-parameter data; extracting fault diagnosis features from the processed data, screening important features by using a Pearson's correlation coefficient, and dividing a data set into a training set and a test set; and combining the SVM with the BP neural network to form an SVM-BP model, and evaluating the state of the storage battery by training and optimizing weights and parameters. Intelligent operation and maintenance of the storage battery are achieved, passive storage battery maintenance work is converted into active storage battery maintenance work, the operation and maintenance level of the power distribution automation terminal equipment is improved, the operation and maintenance workload is greatly reduced, and the state of the backup power supply storage battery is also brought into daily operation management of the power distribution automation equipment; and operation and maintenance management can be carried out more timely and quickly.

An electrochemical fuel cell measures ethanol in human breath and a process maintains such an electrochemical fuel cell. The electrochemical fuel cell includes a first electrode (1), a second electrode (2) and a third electrode (3). The first electrode (1) is used as a measuring electrode in a regular operating mode of the electrochemical fuel cell and as a measuring electrode or as a reference electrode in a maintenance mode of the electrochemical fuel cell. The second electrode (2) is used as a counter electrode in the regular operating mode of the electrochemical fuel cell and as a measuring electrode or as a reference electrode in the maintenance mode of the electrochemical fuel cell. The third electrode (3) is used as a counter electrode in the maintenance mode of the electrochemical fuel cell.

The invention relates to the field of battery maintenance, and discloses a machine room battery capacity monitoring method and system, and the method comprises the steps: obtaining and preprocessing battery operation and environment data in a machine room, and extracting static and dynamic features from the preprocessed battery operation data; modeling by associating the static characteristics with environmental data to obtain a static health index of the battery, and monitoring a steady-state basic health level; associating the dynamic characteristics with the environmental data under event driving to obtain a battery dynamic response index, and monitoring transient performance response capability; the static and dynamic indexes are fused, historical data are combined, a capacity prediction model is used for analysis, and a current capacity estimation value and an attenuation trend prediction sequence are output; finally, early warning is judged according to the prediction result, and an early warning prompt is generated and output, the whole process aims at comprehensively evaluating the battery state, accurately predicting the capacity and early warning from the static and dynamic aspects by integrating battery operation and environment data, so that stable operation of a machine room is guaranteed, the fault risk is reduced, and a reliable basis is provided for operation and maintenance decision making.

The invention provides a standby storage battery intelligent warehousing system and an operation method thereof, the standby storage battery intelligent warehousing system comprises a main system, a standby storage battery warehousing subsystem, a standby storage battery maintenance subsystem and a standby storage battery transfer subsystem, and each subsystem and the main system carry out data interaction through a network. And the warehouse-in and warehouse-out task, the warehouse space information, the charging and discharging task, the AGV state and the transfer task are uploaded to the main system, the main system sends corresponding instructions to the subsystems according to the equipment and task states of the subsystems, and the instructions are executed by the equipment or devices in the subsystems. Aiming at problems and scene requirements in standby storage battery warehouse management, intelligent warehouse management is carried out on standby storage batteries through multi-system and multi-device collaborative fusion and an informatization means, and meanwhile, the warehouse-in and warehouse-out and transfer efficiency of the standby storage batteries is improved; the problems that a traditional standby storage battery lacks maintenance in the warehouse management process, the management efficiency is low, and replacement of the standby storage battery is wrong are solved.

The invention relates to the technical field of biological medicine, and discloses a titer determination method of a specific immune globulin neutralizing antibody, which comprises the following steps: step 1, preparing a cell maintenance fluid; 2, preparation of a virus solution for neutralization: diluting viruses (cytomegalovirus, syncytial virus and EV71 virus) to 100CCID50 by using a diluent according to the virus titer; step 3, diluting the test sample: carrying out double series dilution on the intravenous injection human immune globulin, the tetanus human immune globulin, the rabies human immune globulin and the human immune globulin until no cytotoxicity exists; 4, diluting a standard substance; 5, virus back dripping; step 6, neutralizing viruses; step 7, preparing cells for the test; step 8, infection; and 9, judging a result. According to the present invention, the accurate detection on the titer of the neutralizing antibody of the specific immune globulin can be achieved, and the cytotoxicity influence of the test sample and the fringe effect during the detection process can be removed so as to ensure the detection accuracy.

The invention relates to the technical field of battery monitoring, in particular to a battery health state estimation method based on a battery aging system, which is characterized in that an upper computer and a plurality of test nodes are connected through an industrial field bus communication protocol, charge-discharge cycle test is performed on a battery pack, and battery data are acquired in real time; and processing the data by using a protocol analysis engine and a sliding time window technology, calculating a battery capacity fading rate and an internal resistance change rate, and generating a standardized data set. And a health state evaluation model is constructed through a machine learning model, real-time evaluation and visual display of the health state of the battery are realized, and early warning is given out when the health state is lower than a threshold value. The method supports dynamic parameter configuration, adopts a time sequence database to store data, and facilitates full-life-cycle data tracing. According to the invention, multi-dimensional data acquisition, intelligent analysis and safety protection are integrated, the efficiency, reliability and intelligent level of the battery aging test are improved, and a scientific basis is provided for battery maintenance and management.

The invention provides a cell maintenance priority determination method and device, electronic equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: obtaining a plurality of pieces of complaint information and cell unique identifiers ECI of a plurality of degraded cells; the ECI of at least one first cell associated with the multiple pieces of complaint information is determined, the at least one first cell is set as a first maintenance priority, and the at least one first cell is a cell in the multiple degraded cells; evaluation information of each second cell in a plurality of second cells is acquired, the evaluation information comprises a degradation index and / or historical data corresponding to the degradation index, and the plurality of second cells are cells except the at least one first cell in the plurality of degraded cells; and calculating a second maintenance priority of each second cell based on the evaluation information, wherein the second maintenance priority is lower than the first maintenance priority. According to the invention, the use experience of the user is improved by determining the maintenance priority.

The invention provides a battery predictive maintenance method based on a self-assembly neural network and a large language model, and relates to the technical field of battery maintenance, and the method comprises the steps: collecting original sensor data corresponding to target battery equipment; inputting the original sensor data into a battery predictive maintenance model obtained by pre-training; wherein the battery predictive maintenance model comprises a self-assembly neural network and a large language model; and extracting initial feature information of the original sensor data, extracting time sequence-space joint features corresponding to the initial feature information through the self-assembled neural network, and generating a battery predictive maintenance report corresponding to the target battery equipment based on a pre-constructed battery maintenance knowledge base and the time sequence-space joint features through a large language model. According to the invention, the prediction precision of battery predictive maintenance can be obviously improved.

The invention belongs to the field of virus purification, and particularly relates to a foot-and-mouth disease virus plaque purification method and a foot-and-mouth disease virus thereof. The high-quality foot-and-mouth disease virus is obtained by screening and purifying the foot-and-mouth disease virus through a specific 1 * cell culture medium, a 2 * cell culture medium, a cell maintenance medium and a culture solution which are prepared by the method and through a virus plaque purification technology. The seed virus screening and purifying method is low in cost, the problems that an existing seed virus screening method is high in cost, complex in operation and the like are solved, and high-quality foot and mouth disease viruses can be obtained through virus plaque purification. According to the method, the virus titer of the conventional foot-and-mouth disease virus seed virus is increased by more than 3 times, and the content of antigen 146S is increased by 40%.

A transfection robot that combines bio informatics, robotics and artificial intelligence (AI) in a single package. The transfection robot replaces a large component of the mundane work and increases the quality thereof.

The intelligent control system comprises a three-phase thyristor rectifier bridge, a sampling unit and a master controller, the input end of the three-phase thyristor rectifier bridge is connected with a three-phase alternating current power supply, and the output end of the three-phase thyristor rectifier bridge is connected with the lifting electromagnetic chuck through a switch S1 and connected with a storage battery pack through a switch S2; and the storage battery pack is connected in series with the lifting electromagnetic chuck through the IGBT power switch Q1. According to the invention, the technical problems of unreliable magnetic retention intervention, uncontrollable magnetic force, logic conflict risk, huge volume, storage battery maintenance deficiency and the like of a traditional discrete system are solved, seamless switching between magnetic retention and excitation is realized, and accurate magnetic force control under all working conditions and intelligent maintenance of a storage battery in a full life cycle can be realized; the device has the advantages of high safety, strong reliability, compact structure, low cost and the like.

The utility model belongs to the technical field of storage battery maintenance, and particularly relates to a power storage battery discharge maintenance device. Comprising a protection box, a plurality of unit protection grooves are formed in the protection box, storage batteries are arranged in the unit protection grooves, and the unit protection grooves are provided with maintenance mechanisms corresponding to the storage batteries; a power interface is arranged on the lower side face of the protection box. Through the design of the protective box with higher portability, the power supply of the storage battery can be connected with the protective box, and then the protective box is connected with the electric bicycle, so that power supply can be realized; through the protection structure of the protection box, the buffer capability of the storage battery after being impacted can be effectively improved, and through the design of the heat dissipation holes, the overall heat dissipation is also ensured, and the practicability is also improved.

The present application relates to the technical field of wireless passive sensing, and discloses a differential sensing system for metal crack detection and a quantitative detection method thereof, which comprises an RFID reader-writer and a passive RFID differential sensing tag; the passive RFID differential sensing tag comprises a communication antenna, an RFID chip, an impedance matching network, a planar inductive sensing module, a radio frequency switching module, an energy recovery module and a data processing unit; the impedance matching network is connected between the communication antenna and the RFID chip; the planar inductive sensing module comprises a reference planar inductor and a sensing planar inductor; after double-state alternate sampling of the reference sensing, difference is performed, so that environmental disturbances such as reading and writing distance, sensor posture, multipath and temperature drift are significantly suppressed, and differential noise suppression is realized; the switching module is powered by the energy collection antenna, voltage doubling rectification and charge management module in the energy collection management module, battery maintenance is avoided, and passive operation is realized.

The invention discloses a chemical defined culture medium formula for subculture of CHO-K1 host cells and high expression of an engineering cell strain product of a stable cell line constructed by taking CHO-K1 cells as hosts. The main components of the feed only comprise amino acids, inorganic salts, vitamins, trace elements and other components limited by chemical components. According to the invention, the growth density and motility of the engineering cell strain taking CHO-K1 as the host are improved, the tolerance of cells is increased, the maintenance period of the cells is prolonged, the product expression quantity of the CHO-K1 engineering cell strain is improved, and the cost of the culture medium is greatly reduced.

The invention discloses a female vaginal mucosa cell maintenance preparation and a preparation method and application thereof, and belongs to the technical field of biological agents, the female vaginal mucosa cell maintenance preparation is prepared from dental pulp mesenchymal stem cells, portulaca oleracea polysaccharide, lactic acid, quercitrin, glycerin and stem cell carriers, and vaginal injection paste is obtained by evenly mixing the dental pulp mesenchymal stem cells, the portulaca oleracea polysaccharide, the lactic acid, the quercitrin, the glycerin and the stem cell carriers through a proper amount of deionized water. The purslane polysaccharide and the dental pulp mesenchymal stem cells form a unique synergistic effect, through physical wrapping, the survival rate and delivery efficiency of the stem cells in a vaginal cavity are improved, local inflammatory response is inhibited, a microenvironment is optimized to support directional differentiation of the stem cells into epithelial cells, paracrine activity of the stem cells is enhanced, and repairable factors are released to promote cell-level regeneration. The problem of hormone dependence is solved, deep maintenance of targeted mucous membrane cells is achieved, limitation of an existing therapy is broken through by directly nourishing cells, activating and regenerating, enhancing barrier integrity and maintaining an acidic microenvironment, and an ideal treatment effect is achieved.

The invention discloses a plant leaf reflectivity detector, and aims to accurately measure the reflectivity of a plant leaf so as to evaluate the nitrogen content and guide scientific fertilization. The detector is composed of a main shell, an auxiliary shell, a main control board, a display module, an acquisition mechanism, a handheld shell and the like, an optical system is built through a mechanical structure system, an electrical control system controls AD acquisition, LED start and stop and optical filter wheel rotation, and reflectivity measurement is achieved. The uniquely designed optical filter wheel is made of aluminum alloy, so that the stable operation of the system is ensured; the shell is made of resin materials, so that protection performance is improved, and portability is achieved. The operation process comprises the steps of startup initialization, zero calibration, measurement of a standard whiteboard and plant leaves, and data query and analysis. In addition, the detector has maintenance measures such as regular cleaning, battery maintenance and safe storage, and long-term stable operation is ensured.

The utility model belongs to the technical field of new energy batteries, and relates to a battery maintenance system, in particular to a low-cost battery maintenance system. A scheme is formed through a low-cost maintenance system, so that the maintenance of the stored batteries is realized; according to the system, except the PCS energy storage converter, each subsystem is composed of existing products and parts, so that the equipment investment cost for maintenance is reduced; extra electric energy supplement is not needed in the charging and discharging process of the batteries, the stocked batteries can be maintained through energy conversion between the batteries, and the electric energy input cost is reduced; in addition, a real vehicle controller and an automobile wire harness are used, an energy storage system and a vehicle-mounted power system are combined, and an innovative thought is developed for development of new energy while the battery maintenance requirement is met. The scheme provided by the utility model has the characteristics of simple structure, low cost and the like.

The application provides a battery maintenance method, system and medium. The method comprises: acquiring battery data of a battery management system and performing an electrochemical impedance spectrum scan; estimating an SOH value of the battery based on the battery data and the impedance spectrum scan result; adaptively setting a frequency and a duty cycle of a pulse current used for maintenance based on the SOH value and a battery temperature; and applying a high-frequency pulse current to the battery based on the set frequency and duty cycle, and maintaining the battery according to a multi-stage charging and discharging protocol. The embodiments of the application can improve the service life and safety of new energy batteries.

The invention provides a supplementary material added in a virus culture process and a use method of the supplementary material. The supplementary material comprises the following components: glucose, GluMAX and soybean lecithin. Supplementary materials are added into the culture medium, so that glycometabolism, lipid metabolism, nucleic acid translation and protein synthesis of host cells can be remarkably enhanced; effect pathways of interferon can be influenced, interferon stimulation gene expression is inhibited, and therefore the cell antiviral effect is inhibited. The cell maintenance can be promoted, and the cell apoptosis after virus infection is delayed. In conclusion, the virus yield can be remarkably improved.

The invention discloses a battery maintenance method based on a dynamic sparse neural network and a large language model, and belongs to the technical field of battery management. The method comprises the following steps: acquiring sensor time sequence data and an operation and maintenance text maintenance log of a battery pack, and respectively carrying out standardized preprocessing on the sensor time sequence data and the operation and maintenance text maintenance log; extracting time domain and frequency domain features of the preprocessed sensor time sequence data to obtain sensor features; carrying out semantic coding on the preprocessed text maintenance log by adopting a large language model subjected to battery domain knowledge fine adjustment to obtain text semantic features; performing feature fusion on the sensor features and the text semantic features based on a cross attention mechanism to generate fusion features; and inputting the fusion features into a dynamic sparse neural network which adaptively adjusts the sparseness of each layer of network according to the real-time health state of the battery, and outputting a battery fault probability and a fault root cause weight.

The invention relates to the technical field of sedimentation and sludge dewatering, in particular to a biologically enhanced sedimentation and dewatering integrated pool, which synchronously realizes efficient sedimentation of water treatment and land-saving and consumption-reducing arrangement of a concentration-storage-backflow or dewatering process of sludge. Comprising a main tank body, a sludge backflow dewatering machine room and matched pipelines, and the main tank body comprises a plurality of areas such as a mixing area and a lifting flocculation area and is further provided with an aeration pipeline. The integrated tank has obvious advantages, organically combines efficient precipitation and sludge dewatering, is compact in tank type, and is beneficial to large scale of a single tank. Multiple channels in the settling zone are connected in parallel, and single-cell maintenance does not affect production. The aeration pipeline is oxygenated to strengthen the biological effect, and efficient precipitation is realized in cooperation with multi-point dosing of medicaments. Sludge in the pond is controllably discharged through the sludge storage area, the sludge backflow concentration is guaranteed, and control is convenient. And in combination with dehydration measures, sludge is treated on site, so that the purposes of low carbon emission reduction, land saving and consumption reduction are achieved. The sludge storage area is used for receiving external concentrated sludge, sludge discharged in the tank and dehydrated water of the dehydrator, so that near-zero discharge of wastewater is achieved.

The invention provides a battery maintenance method and system and a medium. Comprising the following steps: acquiring battery data of a battery management system, and executing electrochemical impedance spectroscopy scanning; estimating the SOH value of the battery based on the battery data and the impedance spectrum scanning result; based on the SOH value and the battery temperature, adaptively setting the frequency and duty ratio of the pulse current for maintenance; and applying high-frequency pulse current to the battery based on the set frequency and duty ratio, and maintaining the battery according to a multi-stage charging and discharging protocol. The embodiment of the invention can prolong the service life and improve the use safety of the new energy battery.

The present invention provides a collection and enrichment system for microbial aerosols, including an aerosol collection component, an aerosol enrichment component and a sample collection component, wherein the aerosol collection component is connected to the input end of the aerosol enrichment component, and the sample collection component is sleeved on the outside of the aerosol enrichment component. The aerosol enrichment component includes an aerosol enricher and a collection tube cover, wherein a cell maintenance solution is contained in the aerosol enricher, the bottom end of the aerosol enricher is open and a filter plate is packaged on the outside of the open; an air inlet pipe and an air outlet pipe are penetrated on the collection tube cover, the air inlet pipe includes a first end and a second end, the air outlet pipe includes a third end and a fourth end, the first end and the third end are located above the collection tube cover, the second end and the fourth end are both located in the aerosol enricher, the second end is fixedly connected to a porous spheroid, the porous spheroid is located in the cell maintenance solution, the first end is connected to a first vacuum pump, the fourth end is located above the liquid surface of the cell maintenance solution, and a plug is detachably inserted in the third end.

The utility model provides an indoor positioning device based on three-axis antenna Bluetooth signal coverage, which comprises a three-axis Bluetooth module, the three-axis Bluetooth module comprises an X-axis Bluetooth module, a Y-axis Bluetooth module and a Z-axis Bluetooth module which mutually form an included angle of 90 degrees in a space coordinate system, and the Bluetooth module of each axis is respectively arranged on a PCB (printed circuit board); the distances between the centers of the PCBs of the Bluetooth modules of all the shafts and the original point of the space coordinate system where the PCBs are located are equal, and the distances are smaller than the width of the PCBs. The three-axial Bluetooth module layout structure is designed and points to three different axial directions of the X axis, the Y axis and the Z axis at the same time, so that the signal coverage of the Bluetooth beacon in the space is more uniform, the signals can be uniformly transmitted in the whole space and covered in all directions, the Ethernet is adopted for continuous power supply, frequent battery replacement and maintenance are not needed, and the cost is reduced. The expandability of the positioning system is improved, and Bluetooth indoor positioning with uniform signal coverage is realized at multiple angles and in a whole space.

The application discloses a multi-parameter fusion switch battery state diagnosis method and system based on SVM, relates to the field of intelligent monitoring technology combining power line automation and Internet of Things technology, and comprises the following steps: collecting multi-parameter data through a sensor, and pre-processing the multi-parameter data; extracting fault diagnosis features from the processed data, screening important features by using a Pearson correlation coefficient, and dividing the data set into a training set and a test set; combining SVM and a BP neural network to form an SVM-BP model, and evaluating the state of the battery by training and optimizing weights and parameters. The application realizes intelligent operation and maintenance of the battery, changes the battery maintenance work from passive to active, improves the operation and maintenance level of the power distribution automation terminal equipment, greatly reduces the operation and maintenance workload, realizes the state of the backup power battery into the daily operation and management of the power distribution automation equipment, and achieves more timely and rapid operation and maintenance management.

According to the battery detection system, the voltage and current of the output end of a charging system are acquired through an acquisition unit, the output of the charging system is adjusted through a control unit according to the voltage and current of the output end, and the charging strategy can be optimized in the charging process; the state of the battery is detected through the detection unit, potential faults of the battery can be found, and the battery can be maintained and managed in a targeted mode. A battery detection system and a charging system are combined, real-time monitoring and dynamic adjustment in the charging process can be achieved, the charging effect is optimized, battery health is protected, and the use efficiency and safety of the battery are improved. According to the battery detection method and the charging method, the battery can be charged, the health state of the battery can be detected, potential faults and dangers of the battery can be found easily, the service life of the battery can be prolonged through targeted battery maintenance and management, the influence caused by low efficiency of the damaged battery is avoided, and the use experience is improved.

The present invention discloses a portable single-cell maintenance instrument with an equalization maintenance function, which relates to the technical field of battery maintenance instruments and includes a maintenance instrument body. On the back of the maintenance instrument body, electric telescopic units four are symmetrically installed. At the bottom of the connection frame, a protective frame is installed. On both sides of the maintenance instrument body, electric telescopic units one are symmetrically installed. At the output end of the electric telescopic unit one, a push rod one is installed. At one end of the push rod one, a battery conveying mechanism is provided. The present invention is provided with a battery conveying mechanism. By setting a conveyor belt to drive the cylinder to move, cylindrical batteries can be placed into the cylinder for storage. After maintaining a part of the batteries, by driving the cylinder to move with a motor, the batteries inside another part of the cylinder can be moved below the conductive cylinder one, so as to facilitate the maintenance of another part of the batteries. Therefore, by storing batteries inside the cylinder, it is possible to avoid frequent battery addition by staff and reduce the frequency of battery addition.

The present invention provides a method and system for monitoring and analyzing battery state based on machine learning. First, real-time operation data during the charge and discharge cycles of the target battery is obtained, covering voltage, current, temperature sequences, and timestamp sequences. Then, multi-dimensional feature extraction is performed to generate an original feature set, and a standardized feature matrix is obtained through dynamic time series processing. Next, it is input into a pre-trained battery state monitoring model to generate degradation, health, and remaining life prediction parameters, thereby generating an anomaly detection result and a maintenance decision recommendation. Finally, based on the above results, the model parameter weights are adaptively adjusted to update the model prediction accuracy. This method can comprehensively and accurately monitor and analyze the battery state, improve the prediction accuracy, and provide a reliable basis for battery maintenance.