80results about How to "Avoid ability to decline" patented technology

The invention relates to a chilled water system of a central air conditioner and an energy-saving optimization control method. The energy-saving optimization method comprises the following steps: S1, establishing an energy consumption model of the chilled water system of the central air conditioner; s2, firstly performing correlation analysis on the selected cooling load influence factors by adopting a grey correlation analysis method, screening out strong correlation influence factors, and establishing a central air conditioner cooling load prediction model based on PSO-LSSVM (Particle Swarm Optimization-Least Square Support Vector Machine); s3, optimizing the energy consumption model parameters of the chilled water system of the central air conditioner while predicting the cooling load value of the next point by using an improved white whale algorithm, and enabling the output result of the energy consumption model to reach the minimum value; the system comprises an energy consumption modeling module, a cooling load prediction module and an energy-saving optimization module. According to the method, the energy consumption model and the cooling load prediction model are established, the cooling load value of the next point is predicted, parameter optimization is performed, and an optimization structure is output; the energy consumption model and the cold load prediction model can be updated periodically, and the problem of performance reduction caused by long-time equipment operation is avoided.

The invention relates to the field of laser powder bed melting monitoring technology and laser spectrum detection, in particular to an LIBS (laser-induced breakdown spectroscopy) detection device and method for online monitoring nitrogen, hydrogen and oxygen elements in stainless steel prepared by LPBF (laser PBF), and the LIBS detection device comprises an LPBF printing unit, an LPBF laser unit, an LIBS element detection unit and a calculation control unit; the LIBS element detection unit generates pulse laser by using an Nd: YAG laser, guides the laser beam to the surface of a stainless steel sample through a beam splitter and a galvanometer, excites and generates plasma, acquires a plasma spectrum through a six-channel optical fiber spectrometer, controls the time sequence of laser emission and spectrum acquisition, and analyzes spectral data in real time; the concentration distribution of nitrogen, hydrogen and oxygen elements in the sample is detected, the printing parameters of the LPBF laser unit are dynamically adjusted according to the analysis result, and rapid and real-time online detection of the nitrogen, hydrogen and oxygen elements in the stainless steel sample in the printing process is achieved.

The invention relates to the technical field of data management, in particular to an artificial intelligence-based automatic data grading management method, which comprises the following steps of: acquiring to-be-graded data through a multi-source data acquisition channel, and performing data preprocessing on the to-be-graded data to generate a training data set; constructing a feature extraction network based on an improved Transform architecture, extracting data features in the training data set in combination with a cross-modal mechanism, and generating a dynamic feature mapping matrix; and constructing a time-space domain fusion model based on a graph neural network by using the dynamic feature mapping matrix, calculating a data sensitivity index, and performing adaptive classification. According to the method, complex cross-modal data can be processed, time-space domain features are fused, and efficient hierarchical management is realized through an improved deep learning model, so that the problems of data diversity, real-time performance and accuracy of an existing data hierarchical method are effectively solved.

The invention discloses a remote video monitoring data transmission method, and the method comprises the steps: collecting visual video information through a robot camera, and transmitting the visual video information to a remote power plant monitoring center through a HDMI interface, an encoder, a 5G-CPE, a decoder and other links. The 5G-CPE uses MEC, 5G slicing and SRT technologies to adjust resource allocation according to network conditions and requirements, and defines configuration slices and priorities. A network monitoring component is deployed to monitor slice loads in real time, a load threshold value is set for each slice, and a resource adjustment strategy is triggered when the loads exceed the threshold values. And resources are dynamically reallocated after analysis and evaluation, so that sufficient and optimized utilization of high-load slice resources is ensured. Performance is continuously monitored and feedback adjustment is performed, network adaptability and flexibility are improved, key video streams are ensured to be transmitted preferentially, and power plant inspection requirements are met.

The invention discloses a high-performance environment-friendly UV (ultraviolet) adhesive for batteries and a preparation method thereof, and the UV adhesive is prepared from the following raw materials in parts by weight: 20-50 parts of acrylate prepolymer, 30-70 parts of first acrylate monomer, 1-10 parts of photoinitiator, 5-15 parts of thixotropic agent and 0.5-5 parts of other auxiliaries, the acrylate prepolymer is prepared from the following raw materials: compound polyol, isocyanate and a second acrylate monomer; the compound polyol comprises a flexible polyol and a hard polyol which are compounded according to a molar ratio of 1: (1-5). According to the high-performance environment-friendly UV adhesive for the battery, the viscosity is smaller than 5000 cps, Tg is larger than or equal to 70 DEG C, the elongation at break is larger than or equal to 550%, the shear strength is larger than or equal to 5 MPa, and the resistivity is larger than or equal to 109 omega.m. The UV adhesive disclosed by the invention has the characteristics of low viscosity, high thixotropy, convenience in sizing, short curing time, good flexibility of cured adhesive, high bonding strength and excellent heat resistance and insulating property.

The invention discloses a multi-person interaction method based on a large-space computing technology, and relates to the technical field of multi-person interaction. In order to solve the technical problem that in the prior art, most of existing multi-user virtual interaction systems depend on a single interaction area, so that the user experience is poor when multiple users interact at the same time, the technical scheme provided by the invention is as follows: a multi-user interaction method based on a large-space computing technology is provided. Comprising the following steps: dividing a virtual space into a plurality of functional areas; controlling the temperature of the interaction area and the non-interaction area in real time; sharing of virtual roles is realized through the cloud computing platform; a sharing conflict coordination mechanism is introduced, an operation request of a user for a virtual role is managed, and conflicts are coordinated; creating a virtual computing space and dynamically allocating computing resources by combining distributed computing and a cloud platform; a digital co-construction and sharing platform is built through a 5G network and a holographic image technology, and multi-user interaction and co-construction and sharing of virtual articles are achieved. The method is suitable for being applied to virtual reality scene building work of multi-person interaction.

The invention discloses preparation of flame-retardant high-toughness PMI foam, and relates to the technical field of high-performance materials. Methacrylic acid, methacrylonitrile, an initiator, a modifier, a foaming agent, a cross-linking agent and a nucleating agent are adopted as main raw materials, a reaction solution is obtained after thickening treatment, then the reaction solution is injected into a mold, and water bath polymerization reaction and heating foaming are performed to prepare the foaming agent. The PMI foam material prepared by the method has excellent flame retardance and high toughness, and is suitable for the fields of aerospace, rail transit and high-end structural materials.

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

The invention discloses an information processing method and system of a digital vehicle key and a vehicle. The method is applied to a vehicle side and comprises the steps that a target request is sent to a server side, the target request is used for requesting the server side to preset a certificate on the vehicle side, the certificate is used for generating a plurality of digital vehicle keys, and the effective states of different digital vehicle keys are synchronized with the effective state of the certificate; acquiring a certificate issued by the server in response to the target request; the certificate is stored, a first notification message is sent to the server side, the first notification message is used for indicating that the certificate is successfully preset on the vehicle side, the state of the certificate is set to be an allocatable state by the server side, and the allocatable state is used for indicating that the certificate is allowed to be allocated to an application program bound with the vehicle side; the application program is used for executing locking operation or unlocking operation on the vehicle end through the digital vehicle key corresponding to the certificate. According to the invention, the technical problem of low information processing efficiency of the digital vehicle key is solved.

The invention provides a schlieren flow field reconstruction method based on a multi-input feature fusion ConvLSTM model. The schlieren flow field reconstruction method comprises the following steps: S1, initializing parameters; s2, data preprocessing: cutting and gray processing are carried out on the image, and normalization processing is carried out on pressure data; s3, data generation and segmentation: carrying out data set division; s4, constructing and compiling a model, and constructing a multi-input neural network by using a ConvLSTM model; s5, performing model training and callback, and setting an optimizer and a model optimization function; and S6, result visualization and prediction, including drawing of a loss curve, model prediction and result storage. The method has the beneficial effects that the ConvLSTM technology is applied to processing of the schlieren flow field video frame, space and time information in a space-time sequence is fully utilized, the problem of performance reduction in long sequence processing of a traditional method is avoided, the reconstruction result is more continuous and consistent, the precision and robustness of the reconstruction effect are improved, and the method is suitable for large-scale popularization and application. The demand of computing resources is greatly reduced, and better real-time performance is achieved.

The invention provides a laser irradiation two-dimensional thermal response full-field data inversion method, relates to the field of solid physics, and solves the problems that data of an existing experiment high-temperature measuring point is difficult to obtain, laser irradiation stress is difficult to measure, and temperature and stress distribution near a light spot is difficult to obtain. The method comprises the following steps: acquiring temperature field data of a target under the action of laser, and extracting a corresponding pre-function; perfecting the temperature field data based on the extracted pre-function through a temperature field inversion mode to obtain temperature field distribution; performing strain field inversion of the material based on the temperature field distribution to obtain a material strain function; the material strain function and the material mechanical property are combined, material stress field inversion is carried out, and material stress distribution is obtained; based on material stress distribution, selecting different target materials under the action of laser to obtain a damage function of a corresponding material, and completing damage evaluation; according to the invention, a high-temperature area is effectively avoided, a strain gauge is not used for measurement, and the obtained thermal strain and thermal stress are more accurate.

The invention relates to a double-source heat pump direct expansion drying system based on photovoltaic and photo-thermal and an operation method. The system comprises a photovoltaic and photo-thermal module, a PV / T heat source side plate type heat exchanger, a liquid reservoir, a four-way reversing valve, an evaporator, a condenser, a compressor, a first electromagnetic valve and a second electromagnetic valve. The photovoltaic photo-thermal module is connected with the PV / T heat source side plate heat exchanger and used for providing a heat source for the PV / T heat source side plate heat exchanger, a liquid outlet of the liquid reservoir is connected with a liquid inlet of the PV / T heat source side plate heat exchanger through a first electromagnetic valve and connected with a liquid inlet of the evaporator through a second electromagnetic valve, and the first electromagnetic valve and the second electromagnetic valve are connected in parallel; a liquid outlet of the PV / T heat source side plate heat exchanger is connected with a liquid outlet of the evaporator in parallel through the four-way reversing valve and connected with a liquid inlet of the compressor in series, a liquid outlet of the compressor is connected with the condenser, and the condenser is connected with the liquid reservoir through the four-way reversing valve. Compared with the prior art, the system has the advantages of good operation stability, good energy-saving effect and the like.

The invention relates to the technical field of data security, and discloses an intelligent medical data security guarantee system and method, and the system defines a multi-dimensional state space containing data classification, access authority, network security state and use frequency, and an action space containing multiple actions such as access limitation, data encryption and equipment isolation. And comprehensive monitoring and dynamic protection of medical data security are realized. And training the model by using a deep reinforcement learning algorithm, dynamically adjusting protection measures according to real-time data and security threats, and optimizing a strategy to maximize accumulated rewards. According to the method, reduction of data security events, data integrity, system operation stability, user satisfaction and protection cost are comprehensively considered, and a reward function is designed to evaluate an action result. According to the method, complex and changeable network attacks and security threats can be effectively handled, the security and privacy of medical data are improved, and a security guarantee is provided for sustainable development of intelligent medical treatment.

The invention provides an anti-aging high-strength nylon material for automobiles and a preparation process of the anti-aging high-strength nylon material, and is applicable to the field of polymer composite materials. The material comprises 50%-60% of a nylon matrix material, 30%-40% of glass fibers, 0.3%-0.6% of an antioxidant composition, 0.3%-0.5% of an ultraviolet light absorber, 0.2%-0.4% of a light stabilizer, 0.1%-0.2% of an anti-hydrolysis agent, 0.1%-0.3% of a lubricant and 5%-10% of a flexibilizer. The preparation process comprises the steps of drying of the nylon matrix and the glass fibers, high-speed mixing, twin-screw extrusion, cooling and pelletizing and injection molding, and the tensile strength, the impact strength and the aging resistance of the prepared nylon material are remarkably improved by optimizing the proportion and process parameters. The material is suitable for high-performance application of automobile structural parts, exterior trimming parts and the like, overcomes the defects of the traditional nylon in the aspects of weather resistance, mechanical strength and processability, and provides a high-performance and long-life material choice for the automobile industry.

The invention discloses a thermal management method and system of a power supply and an intelligent power supply, and the method comprises the steps: collecting m reference temperature data sets of m battery cells within a first preset time period; performing preprocessing operation on the m reference temperature data sets to obtain m temperature data sets; determining a first temperature value of the target power supply according to the m temperature data sets; predicting a predicted temperature value of the target power supply at the target moment according to the m temperature data sets and the first temperature value; determining a target working state of the target power supply according to the first temperature value and the predicted temperature value; and in a second preset time period, controlling a heat management module to perform heat management on the target power supply based on the first temperature value, the predicted temperature value and the target working state, so that the temperature of the target power supply returns to a preset temperature range. According to the embodiment of the invention, the thermal management effect of the power supply can be improved.

The invention discloses a database storage method, which realizes high optimization of a storage space by finely classifying key value pairs and storing the key value pairs in different regions. The recovery frequency is dynamically adjusted, only the key value pairs marked as deleted are erased, storage fragments and the erasure frequency are reduced, the storage efficiency is improved, and the service life of storage equipment is prolonged. When the sectors are recycled, adjacent idle and invalid sectors are combined, so that the storage space utilization rate and the access efficiency are improved. When the new key value pairs are stored, the new key value pairs are preferentially distributed from the combined sector pool, the storage process is simplified, and the response speed is increased. The data access frequency and the sector erasure life are combined, the merged sectors are finely grouped, resource allocation is optimized, and the data access efficiency is improved. And meanwhile, a direct local modification technology is adopted, so that data migration and rewriting are reduced, and the updating operation efficiency is improved.

The invention discloses a thermal management control method for a driving motor of a deep-sea robot. The thermal management control method comprises the following steps: S1, constructing a continuous time state space model of the motor; s2, setting a temperature adjustment variable and an adjustment rule of each armature in the motor; s3, detecting the temperature of each armature according to a certain period and updating a temperature regulation variable in real time; s4, when the value of the temperature adjusting variable changes, updating the control gain; and S5, calculating a control signal in real time and acting the control signal on the motor according to a set rotating speed signal needing to be tracked by the motor and the gain matrix. Through a dynamic current adjusting mechanism of a plurality of modularized stators, current distribution is automatically adjusted according to the real-time temperature and load condition of each armature, performance reduction or motor damage caused by local overheating is avoided, and the rotating speed tracking precision of the multi-modularized deep-sea robot driving motor and the heat balance performance of each armature are ensured.

The invention discloses a polyimide-polytetrafluoroethylene composite material based on a hot rolling method and a preparation method thereof, and belongs to the technical field of composite materials, and the preparation method comprises the following steps: S1, preparation of a polyamide acid film: respectively and quantitatively weighing diamine and dianhydride of PI, dissolving in an organic solvent, and polymerizing to obtain a polyamide acid solution, spreading the polyamic acid solution into a film, and gradually heating in a drying oven to remove the organic solvent to obtain a polyamic acid film; and S2, preparation of a PTFE material: selecting a PTFE dispersed material or a PTFE suspended material, and preparing a low-density PTFE film through blank making, calendering, stretching and heat setting, or preparing a high-density PTFE plate through sintering, rotary cutting and other processes. The problems that in the prior art, when a PTFE / PI composite material is prepared, the bonding strength is insufficient, the machining difficulty is large, and a thick PTFE layer is difficult to prepare are solved. The method has the advantages of being wide in application range and high in controllability.

The present application relates to the technical field of large model parameter adjustment, in particular to a large model fine-tuning method based on ant colony dynamic mechanism, on the basis of the existing LoRA+MoE method, first, an ACO optimizer is constructed based on the adaptive characteristics of the ant colony optimization algorithm, in each training round, the hyperparameters including rank, scaling factor and number of selected experts are adaptively adjusted according to the feature complexity of each layer of the pre-trained large model, and the pheromone concentration of the ant colony optimization algorithm is updated with the performance index of the model as the guide, realizing intelligent optimization of parameter configuration, so that the fine-tuned large model can automatically adjust the rank configuration according to the feature complexity to adapt to different task requirements; and, the present application improves the existing gating network, constructs an ACO-MoE gating network, allocates experts with the ant colony optimization algorithm, and further constructs a load balancing loss based on the usage rate of the experts to avoid the problem of model performance degradation caused by unbalanced expert load.

The invention discloses an implementation method of a micro POF transceiver for long-distance power supply and data transmission, the transceiver comprises an end A and an end B, and power supply and data transmission are realized by using a photoelectric composite cable. The A end is powered by a POE power supply and amplifies an input signal to a sufficient level to drive an LD laser to emit light, thereby realizing POF optical signal transmission. And the B end receives 12V-60V wide voltage input, stable 12V voltage is output through the voltage reduction and stabilization module, and network signals are output through the RJ45 interface at the same time. According to the scheme, the POE and POF technologies are combined, the problems that the existing POE transmission distance is limited and the network rate is attenuated are solved, 13W POE power supply and 1000M data transmission can be realized within the range of 800m, and different power supplies and devices are compatible. And through a mini design and an independent heat dissipation module, the stability and the industrial environment adaptability of the system are improved. The technology greatly prolongs the transmission distance, simplifies wiring, and is suitable for high-requirement network scenes such as enterprises and parks.

Embodiments of the present specification provide a data query method, device, big data platform, equipment, medium and program product, wherein the data query method comprises: receiving a data query request, determining at least one data source corresponding to the data query request; determining a corresponding security query operator based on the data query request; obtaining data description information of the data source, determining a target query plan from candidate query plans of the at least one data source based on the data description information and the security query operator, and obtaining a query result corresponding to the data query request based on the target query plan, wherein the candidate query plan is used to indicate an execution order of the at least one data source under the security query operator. By using the security query operator and combining the data description information to dynamically select the target query plan, the operator execution order is optimized while ensuring data security, the efficiency bottleneck of traditional non-security scene operators in an encrypted environment is solved, and the effective improvement of query performance in a security protection scene is realized.

The utility model relates to the technical field of vacuum infusion, and discloses a composite material vacuum infusion device which comprises a mold table, an infusion cavity is formed in the top face of the mold table, a glass fiber felt is attached to the inner bottom face of the infusion cavity, a vacuum bag is attached to the top face of the mold table, and a sealing structure used for improving the sealing performance of the vacuum bag is arranged on the top face of the mold table. The sealing structure comprises a pressing frame arranged above the mold table, and the bottom face of the pressing frame abuts against the top face of the vacuum bag. According to the utility model, through the arrangement of the sealing structure, the plurality of air cylinders extend out synchronously to drive the connecting frame to move downwards so as to drive the pressing frame to press downwards, and when the pressing frame descends in place, the edge of the pressing frame presses and seals the contact area of the vacuum bag and the mold table, so that a stable mechanical pressurization sealing structure is formed; in the process, mechanical pressing of the vacuum bag is achieved by applying external force, the sealing effect in the vacuum infusion process is remarkably improved, and the problem that the material performance is reduced due to leakage is effectively solved.

The present application provides an adaptive load balancing processing method and system based on a blockchain network, which can accurately analyze and pair key and derivative resource usage indicators by collecting the continuous load status characteristics of each blockchain node in the blockchain network, including multiple resource usage indicators. When encountering a unique resource usage tag and the current load balancing strategy does not cover the unique resource usage tag, if the derivative resource indicator is already in the strategy and the resource cluster associated with it contains other unique resource tags, an updated load balancing solution will be generated based on these resource usage indicator pairing sets to ensure that all unique resources are reasonably load balanced and regulated, thereby effectively improving the performance and stability of the blockchain network.

The invention discloses a production method of a galfan sheet product for deep drawing. The method comprises the following steps: inputting strip steel from an entrance of a looping car according to a preset initial speed; the method comprises the following steps: pre-treating strip steel, feeding the strip steel into an annealing furnace according to different models and different speeds, and heating and preserving heat in different temperature ranges in the annealing furnace; the strip steel is input into a zinc pot, and the annealed strip steel is galvanized; an air knife is adopted to scrape redundant zinc liquid, and the galvanized strip steel is cooled; after cooling, finishing and straightening are carried out; and the stretched and straightened thin plate is rolled down at an outlet loop. According to the invention, rapid and balanced production of products is realized through temperature and speed control in the whole production control.

The utility model belongs to the technical field of ionizing radiation detection, and particularly relates to a halide scintillation crystal detector for petroleum logging. The device comprises a shell and a reaction layer, the shell is a sealed shell, a scintillation crystal is packaged in the shell, and a light transmission device is coupled to a light emitting surface, corresponding to the scintillation crystal, of the shell; and the reaction layer is filled between the shell and the scintillation crystal and is used for absorbing water and oxygen. The utility model is used for solving the problem that the scintillation crystal is easy to deliquesce at high temperature. By filling the reaction layer in the shell for sealing and packaging the scintillation crystal, trace water and oxygen in a sealing system are removed by utilizing the reaction between the reaction layer and water and oxygen in the shell, so that the problem of deliquescence of the scintillation crystal caused by reaction between water and oxygen and the scintillation crystal is avoided.

The utility model relates to the technical field of musical instrument manufacturing equipment, in particular to an environment-friendly dust removal type grinding machine for musical instrument production, which comprises a grinding machine, a dust suction pipe and the like. A mounting plate is connected to the front side of the grinding machine, an opening ring frame is connected into the mounting plate, a filter kit is rotatably connected into the opening ring frame, through holes are formed in the front side and the rear side of the opening ring frame, one end of a dust suction pipe is communicated with the through hole in the rear side of the opening ring frame, the other end of the dust suction pipe is communicated with the bottom of the dust accumulation hopper, and an air blower is communicated with the through hole in the front side of the opening ring frame. By means of continuous rotation of the filtering suite, the filtering face is continuously updated and changed, meanwhile, attached chippings are forcefully purged through reverse high-pressure airflow, the chippings cannot stay on the filtering structure through a dynamic cleaning mechanism, and the clean state of the filtering face is kept all the time.

The utility model discloses a server shell with a heat dissipation structure, which belongs to the technical field of server shell equipment, and comprises a server shell, two sides of the bottom of the server shell are respectively and fixedly connected with a support seat, the top of the server shell is provided with a heat dissipation port, the left and right sides of the support seat are respectively provided with a ventilation slot, and the ventilation slots are communicated with the heat dissipation port. A through groove is formed in the top of the supporting base, the supporting base communicates with an inner cavity of the server shell through the through groove, a heat conduction plate is fixedly connected to the inner cavity of the server shell, a baffle is fixedly connected to the bottom of the heat conduction plate, and the bottom of the baffle is fixedly connected to the bottom of the inner cavity of the server shell. According to the device, the probability that dust and other impurities enter the inner cavity of the server can be reduced, heat dissipation is conducted on the inner cavity of the server through cooperation of the heat conduction pipe and the heat dissipation fan, and the problems that the heat dissipation effect of the server is poor and the service life of electronic elements is shortened due to the fact that dust easily enters and accumulates in the inner cavity of the server are solved.

The invention relates to the technical field of powder metal alloy adhesive preparation, in particular to powder metal alloy adhesive preparation equipment which comprises a melting furnace, a feeding mechanism is arranged on the upper portion of the melting furnace, a material barrel is sleeved with the melting furnace, a hollow cavity is formed in the side wall of the melting furnace, and a heating mechanism is arranged at the bottom of the melting furnace. The heating mechanism comprises a heat conducting plate, a heating rod, a temperature control pipe, a first temperature sensor, a cooler and the like. The invention discloses a production method of an adhesive for a powdery metal alloy, which is capable of uniformly heating, so that an adhesive raw material in a charging basket is uniformly heated, and the preparation efficiency and the product quality of the adhesive are improved. Comprising the steps of preparing raw materials, starting a third motor, feeding the raw materials, crushing the raw materials, stirring and mixing, starting a heating mechanism, starting a high-temperature-resistant oil pump, starting a first motor, circularly heating, forming an adhesive, outputting the adhesive and the like. The method can quickly and fully react and uniformly heat, so that the adhesive raw material in the charging basket is uniformly heated.

The utility model relates to a power battery frame middle longitudinal beam with a connecting piece and a commercial vehicle, and belongs to the technical field of power battery frames. The power battery frame middle longitudinal beam with the connecting pieces comprises a middle longitudinal beam body and connecting piece bodies, the connecting piece bodies are used for fixing the middle longitudinal beam body to an end beam of a power battery frame, and the two ends of each side of the middle longitudinal beam body are symmetrically connected with the connecting piece bodies through bolts. The contact face between the middle longitudinal beam body and the connecting piece body and the contact face between the connecting piece body and the end beam of the power battery frame are coated with structural adhesive.

The utility model provides an energy-saving environment-friendly annealing furnace for stainless steel tubes, which comprises an annealing furnace case, an energy-saving loading and unloading mechanism, a heating copper ring, a fan and a waste gas treater, the energy-saving loading and unloading mechanism, the heating copper ring and the fan are mounted in the annealing furnace case, and the loading and unloading mechanism is positioned on the inner side of the heating copper ring; the waste gas treater is fixedly mounted on the outer side of the annealing furnace case; the energy-saving feeding and discharging mechanism of the annealing furnace is innovatively designed, a main structure is arranged in the annealing furnace, and a gear and rack mechanism is adopted to accurately control feeding and discharging of steel pipes. According to the design, the equipment size is reduced, the operation is simplified, meanwhile, heat leakage is effectively prevented, and the energy efficiency is improved. And a gear rack mechanism replaces a spring, so that the stability and the precision of steel pipe feeding and discharging are improved, the influence of high temperature on the performance of the spring is avoided, and the reliability and the durability of equipment in a high-temperature environment are enhanced.