206results about How to "Reduce dependency" patented technology

The invention discloses a tool wear loss prediction method based on physical information self-supervised learning under the condition of few marks, and belongs to the technical field of numerical control machining center tool wear state prediction. Comprising the steps of collecting monitoring signals such as cutting force, vibration and acoustic emission in the machining process; carrying out preprocessing operation of interception and Z score standardization on each sample; a mixed residual convolutional neural network tool wear monitoring model is designed, and information fusion and high-dimensional representation extraction are carried out on multi-source sensor signals; pre-training the tool wear monitoring model by using the auxiliary task I, and guiding the model to extract the invariance feature of the signal; according to the method, under the condition of scarce marked data, high-precision prediction and excellent generalization ability of tool wear are realized, the fluctuation amplitude of prediction errors can be effectively reduced, and the stability of a prediction result is kept. According to the method, a small amount of mark data is effectively utilized in model training, the stability and reliability of tool wear monitoring are ensured, and the requirements for monitoring precision and adaptability in actual production are met.

The invention relates to the technical field of railway engineering construction, and discloses a complex region railway engineering construction road intelligent line selection and evaluation decision method, which comprises the following steps: S1, in combination with terrain environment conditions and construction technology standards of a construction road, constructing an improved HAO plane line shape mathematical model, designing plane line shape constraint conditions, and constructing a line shape model; and establishing a line comprehensive cost model as an optimization objective function, and searching an optimal plane linear position parameter in a target area by using a particle swarm optimization algorithm. Compared with other intelligent line selection methods, the method can quickly evaluate and decide the advantages and disadvantages of the route scheme while quickly generating the horizontal and vertical section line shape of the construction road, optimizes the design process, facilitates the shortening of the construction period of the construction road, can remarkably reduce the workload of site survey and manual design, and improves the construction efficiency. The working efficiency and benefits of line selection design are practically improved, the investment of line selection cost is reduced, use is convenient, and the degree of dependence on equipment performance is low.

The invention relates to a coprocessor based on an RISC-V architecture and a processing system thereof. The coprocessor comprises a decoding unit, a control unit, an arithmetic unit, a cross-clock transmission unit and a cache unit. The decoding unit receives the value of the source register sent by the main processor and decodes the value to output an operation parameter, the control unit controls the working process of the operation unit based on the operation parameter, and the cross-clock transmission unit communicates with the main processor and comprises transmission of configuration parameters and feedback signals. Therefore, the main coprocessor can run in different clock domains; the cache unit is used for caching part of weight data and all bias data required in single operation, can be used for realizing operation of an expansion instruction, does not occupy the storage space of the main processor, and greatly improves the operation efficiency of the neural network.

The invention discloses a stratified fuel cell temperature control method based on adaptive model-free predictive control. The method comprises the steps that firstly, an upper-layer decision maker determines the optimal stack temperature under different working conditions based on a polarization curve of a stack, and the optimal stack temperature serves as the optimal reference temperature to be output to a lower-layer controller; in the lower layer controller, based on real-time input and output data of battery operation, nonlinear prediction of the stack temperature is realized by introducing an auxiliary slack variable. And then an optimal control variable is obtained by solving an optimization problem with constraints in each execution period, and a water pump and a radiator are driven to complete optimal control of the temperature of the galvanic pile. Compared with a traditional control method, the method has the advantages that the dependency on the model is reduced; compared with a traditional model prediction control method, the method has the advantages of being low in calculation complexity, low in requirement for controller hardware and the like, and the problems that the proton exchange membrane fuel cell is high in nonlinearity and coupling performance and large in control difficulty are solved to a certain extent.

In order to solve the problems that an existing vortex-induced vibration suppression device is complex in structure, inconvenient to disassemble and assemble, not convenient to maintain, large in energy consumption and the like, the active marine riser vortex-induced vibration suppression device comprises a pipe sleeve and a plurality of vibration reduction assemblies, the pipe sleeve is arranged on a riser in a sleeving mode and detachably connected with the riser, and the vibration reduction fins are arranged on the pipe sleeve. The multiple damping assemblies are evenly distributed on the periphery of the pipe sleeve in the circumferential direction, the pipe sleeve comprises two semicircular pipe sleeves, and the two semicircular pipe sleeves are clamped on the outer wall of the vertical pipe through fixing pieces. According to the invention, the energy consumption is relatively low, the dependence degree on the vertical pipe device is relatively small, the complexity of the system is not additionally increased, through the design of the two semicircular pipe sleeves, the pipe sleeves can be quickly mounted and dismounted, and the pipe sleeves can be used while being mounted, are convenient to mount and easy to maintain, also have relatively wide applicability, and are suitable for popularization and application. And the vibration suppression device has high adaptability to the vibration suppression problem of different engineering equipment. The invention relates to the technical field of vortex-induced vibration suppression.

The invention discloses a multi-source data-based mining equipment positioning system and method. The system is characterized in that a plurality of ultra-wideband base stations are sequentially mounted in a crossheading roadway at intervals; the coding identifiers are mounted on supporting columns of the hydraulic supports in a one-to-one correspondence manner, and are positioned on one side close to the coal mining machine; the inertial sensing unit, the camera, the ultra wide band positioning module and the controller are all mounted on the body of the coal mining machine; the visual angle of the camera faces a supporting column of the hydraulic support. The ultra-wideband positioning module is positioned on one side, close to a crossheading roadway, of a coal mining machine body and is connected with the ultra-wideband base station; the controller is respectively connected with the inertial sensing unit, the camera and the ultra-wideband base station. The method comprises the following steps: carrying out initial position calibration by using the ultra-wideband positioning module; predicting the position of the coal mining machine based on inertial navigation; updating the prediction state of the inertial sensing unit based on the identification of the coding standard by the camera; and the positioning continuity is ensured by fusing the data of the inertial sensing unit and the camera. According to the system and the method, real-time and accurate positioning operation of the coal mining machine in the working process can be realized.

The embodiment of the invention provides a membrane element cleaning method and device, and relates to the technical field of water treatment.The method comprises the steps that pollution and blockage state detection data of a target membrane element are obtained, and the pollution and blockage state detection data comprise water yield data of the target membrane element, pressure data of the target membrane element and / or desalination rate data of the target membrane element; determining a target reagent according to the pre-cleaning transmittance data of the target membrane element under the condition that the target membrane element is determined to be polluted and blocked according to the pollution and blocking state detection data; and executing corresponding target cleaning operation on the target membrane element based on the target reagent. In this way, the dependence degree of membrane element cleaning on the operation experience of operators is reduced, the membrane element cleaning operation steps are simplified, the membrane element cleaning efficiency and precision are improved, and the labor cost in the membrane element cleaning process is reduced.

The invention discloses a construction method of a ship underwater radiation noise online prediction model. The method comprises the following steps: collecting ship body vibration signals and far-field radiation noise signals as a sample database of a radiation noise prediction model; on the basis of a differential evolution feature optimization algorithm, two dimensions of a vibration sensor and a 1 / 3 octave frequency band of prediction model input features are optimized, and an optimal feature subset is obtained to serve as input of a prediction model; establishing an integrated learning prediction model, taking a ridge regression model as a base learning device, and determining optimal parameters of each base learning device by adopting grid search and cross validation to obtain n different base learning devices; and finally, taking a mean value of prediction results of the base learners as a final prediction result of the radiation noise prediction model, and realizing online prediction of the ship radiation noise. According to the method, the utilization rate of existing test data can be improved, the degree of dependence of a prediction model on specific distribution type data is reduced, the sensitivity of the model to small changes of data distribution is relieved, and the model robustness and prediction precision are improved.

The embodiment of the invention provides an archive catalog description method, a program product, equipment and a storage medium, and the method comprises the steps: obtaining an archive image, description data and a catalog template of a target archive, and the catalog template comprises a plurality of to-be-filled fields; filling the description data into a first field corresponding to the directory template to obtain a basic directory of the target file; hooking the basic directory and the archive image, and filling a second field of the basic directory based on identification information of the archive image; and generating one or more of a question name, a subject term and a classification number of the target file, and filling a third field corresponding to the basic directory with the generated one or more of the question name, the subject term and the classification number to obtain directory data of the target file. According to the method, the data required by catalog description is generated from multiple aspects, and the format and the content of the obtained catalog data accord with related regulations and standards, so that automatic description of the archive catalog is realized, and the degree of dependence on manpower is reduced.

The invention discloses a control system for adjusting the bundle weight of deformed steel bars. The control system comprises an electric strong magnetic alignment device, a weighing scale, a PLC control unit and a hydraulic shear control unit. The electric strong magnetic alignment device is installed at the position where the steel billet impacts the baffle and used for accurately adjusting the magnetic strength and direction according to a PLC instruction. The weighing scale is installed at the billet collecting and bundling position and used for measuring the weight of a billet bundle in real time and transmitting weight data to the PLC control unit. The PLC control unit is used for receiving weight data weighed by the weighing scale in real time and inputting the weight data into the trained prediction model to obtain the adjusted initial position, moving speed, shearing time, target bundle weight value before next shearing, shearing length and shearing times of the determined scissors. A corresponding instruction is generated and transmitted to the hydraulic shear control unit; and the hydraulic shear control unit is used for receiving and executing an instruction sent by the PLC control unit. By means of automatic control and intelligent decision making, manual intervention and waiting time are reduced, and production efficiency and yield are improved.

The invention relates to a rice identification method based on a growth early-stage short time sequence SAR image, and the method comprises the steps: obtaining rice growth early-stage time sequence SAR data in a target region, and carrying out the preprocessing of the rice growth early-stage time sequence SAR data, so as to obtain standard early-stage SAR data; collecting target historical SAR data of rice growth in the target area, calculating a water body backscattering value and a vegetation backscattering value of the target area according to the target historical SAR data, and calculating a rice discrimination index of the target area based on the water body backscattering value, the vegetation backscattering value and the standard early SAR data; and segmenting the rice discrimination index by using a preset SSSI threshold to obtain an index segmentation result, extracting a rice planting range in the target area according to the index segmentation result, and identifying the rice earliest identification period of the target area through the rice planting range. Therefore, the problems that an existing rice early-stage extraction method depends on priori knowledge, and the regional popularization ability is poor are solved.

The invention discloses a connector with a rear-mounted TPA assembly and an assembling method thereof, the connector comprises a connector body, a TPA assembly and a terminal, and the TPA assembly is implanted into an inner cavity in the direction from the tail end to the head end of the connector body so as to effectively simplify the difficulty of assembling and disassembling operation between the TPA assembly and the connector body. The invention further discloses an assembling method of the connector with the rear-mounted TPA assembly, which is used for reducing and further reducing the mounting and dismounting difficulty of the TPA assembly, reducing the dependence of assembling the connector on an auxiliary mounting tool, improving the assembling accuracy of the connector and reducing the loss caused by improper assembling.

The invention relates to the technical field of photoelectric packaging, and discloses a CPO packaging structure based on a glass carrier plate, the CPO packaging structure comprises the glass carrier plate, an ASIC chip, a silicon optical chip, an electronic chip, a laser element, a positioning socket and an optical fiber array, the ASIC chip, the silicon optical chip and the positioning socket are all installed on the glass carrier plate, and the electronic chip and the laser element are respectively arranged on the silicon optical chip; the ASIC chip and the electronic chip are electrically connected with the rewiring layer of the glass carrier plate, and the laser element is in light conduction with the waveguide layer of the silicon optical chip; the optical fiber array is also provided with a plug structure which is detachably connected with the positioning socket; the optical fiber array is further provided with a protruding end, the protruding end is located on the side, away from the optical fiber body, of the positioning socket, and the lower portion of the protruding end is provided with a first coupling part which is in light conduction with the optical fiber body. A second coupling part is arranged at the upper part of one side, close to the positioning socket, of the silicon optical chip, the second coupling part is in light conduction with the waveguide layer, and the first coupling part and the second coupling part are in light conduction oppositely up and down.

The invention discloses a generator set fault report generation method and system based on a tree structure, and relates to the field of data analysis, and the method comprises the steps: collecting the time sequence operation data of a generator set according to a report generation instruction, and enabling the time sequence operation data to be connected with the report generation instruction, so as to obtain a first fault data set; obtaining six types of fault sub-data sets; and a tree structure fault data set is constructed based on the six types of fault sub-data sets, and the tree structure fault data set is used for fault analysis so as to feed back a generator set fault report to a terminal of the report generation instruction. Through the scheme of the invention, diversified and complicated fault conditions can be diagnosed and processed more effectively at the same time, and the accuracy and real-time performance of fault diagnosis are improved.

The invention discloses a hydrogen fuel cell system, a thermal management method and a rail transit vehicle, the hydrogen fuel cell system comprises a hydrogen fuel cell module, a solid hydrogen storage module, and a thermal management module respectively communicated with the hydrogen fuel cell module and the solid hydrogen storage module, the hydrogen fuel cell module comprises a main module and an auxiliary module, the system is characterized in that a main heat management module is installed between the main module and the solid hydrogen storage module, and an auxiliary heat management module is installed between the auxiliary component and the solid hydrogen storage module. Heat required by hydrogen desorption of the solid hydrogen storage system is from waste heat of the hydrogen fuel cell module, so that the burden of a water-air radiator of a main loop is reduced, the power of a cooling fan of the main loop is reduced, and the energy utilization rate of the system is improved by more than 10%.

The invention relates to a task perception decoding method, device and equipment for a large language model and a storage medium, and the method comprises the steps: determining first conditional probability distribution of an output tag of an initial large language model, and adjusting the initial large language model based on a preset algorithm, determining second conditional probability distribution of an output tag of the adjusted initial large language model; determining a fine-tuning space vector according to the first conditional probability distribution and the second conditional probability distribution, adjusting the fine-tuning space vector to obtain a knowledge vector, and converting the knowledge vector into fine-tuning probability distribution by using a preset activation function; and merging the fine tuning probability distribution and the second conditional probability distribution by using a preset merging formula to obtain target probability distribution, and guiding an output result of the fine-tuned large language model according to the target probability distribution. Therefore, the problems that the dependency on high-quality data is too high and the model applicability is poor in the prior art are solved, and the adaptability and performance of the large language model in downstream tasks are enhanced.

The invention discloses a defect detection general model training method, a surface mounting defect detection method, a surface mounting defect detection device, processing equipment, a storage medium and a computer program product, and relates to the technical field of defect detection. In the application, a training method of a defect detection general model is proposed, and a to-be-trained defect detection general model is trained by taking labeled surface-mounted defect sample images as a training set, so that the defect detection general model for surface-mounted defect detection is obtained. Compared with the prior art, the method and the device have the advantages that each surface mounting defect does not need to be independently trained to establish a targeted detection model, the universal model is established by uniformly training on the basis of the obtained data of all production line products, such as the first to fourth types of defect items, and the universal model has the capability of detecting iterative products.

The invention provides an integrated synchronous rectification controller, a flyback converter and electronic equipment, the integrated synchronous rectification controller comprises a first switch tube and a synchronous rectification controller, the synchronous rectification controller comprises a sampling circuit, a transistor, a power supply circuit, a detection circuit and a logic control circuit; the first switch tube, the sampling circuit and the transistor are arranged on the first bare chip; the power supply circuit, the detection circuit and the logic control circuit are arranged on the second bare chip; the first bare chip is manufactured by adopting a high-voltage process, and the second bare chip is manufactured by adopting a low-voltage process; the synchronous rectification controller is used for controlling on or off of the first switch tube. The high-voltage circuit part in the synchronous rectification controller is arranged on the first bare chip, and the low-voltage circuit part is arranged on the second bare chip, so that the high-voltage circuit part and the low-voltage circuit part are separated, and the second bare chip only needs to be manufactured by a low-voltage process. The manufacturing cost of the synchronous rectification controller can be reduced, and then the dependency degree on the technological process is reduced.

The present invention provides a concrete release agent and a preparation method thereof. Specifically, the concrete release agent comprises, based on its total weight, 25-40% by weight of a 40°C kinematic viscosity of 1-20 mm 2 / s between the base oil, the base oil is selected from mineral oil, synthetic oil or a combination thereof; 5-10% by weight of a non-ionic polyurethane resin, the non-ionic polyurethane resin is C 6‑10 The concrete release agent according to the embodiment of the present invention has good demoulding performance, and the concrete demoulding treated by the concrete release agent has good self-curing ability during the curing process, and the concrete finally cured has enhanced mechanical properties.

The invention discloses a session management method and device, computer equipment and a storage medium. The method comprises the following steps executed by a participating node: receiving a first connection establishment request sent by a coordinating node when the coordinating node is switched from a fault state to a normal state, and obtaining a current state of the participating node; when the current state of the participating node is a normal state, inquiring a participating node session pool by adopting a global unique session identifier, and judging whether a historical local session corresponding to the participating node exists or not; when the historical local session corresponding to the participating node exists, verifying the historical local session based on the version information, and determining and executing a current local session corresponding to the participating node; and when the historical local session corresponding to the participating node does not exist, creating and executing a current local session corresponding to the participating node based on the session parameter information. According to the method, the dependence degree of the participating nodes on the coordination nodes can be reduced, the fault processing complexity and the system resource consumption are reduced, and the fault processing efficiency is improved.

The embodiment of the application provides a kind of training method of image encoder, image processing method, electronic equipment, storage medium and program product, it is related to image processing technical field, the training method of image encoder includes: training image is input image encoder, visual word symbol for representing image feature is extracted by the image encoder;Clothing text word symbol is generated for training image;The clothing text word symbol is used to describe the clothing feature of the person in the training image;The model parameter of the image encoder is iteratively trained using a combination loss function;The combination loss function is used to make the visual word symbol of the same person of multiple training images be smaller, and make the visual word symbol and the clothing text word symbol of the same training image be larger difference.It reduces the degree of dependence on visual information by introducing text modal, increases the precision of image encoder to identify the same person under different clothing, improves the precision and robustness of person re-identification.

This utility model discloses a bulb flat steel with an embedded mounting groove, belonging to the field of bulb flat steel technology. It includes a first steel plate and a second steel plate disposed on the right side of the first steel plate. T-shaped plates are uniformly fixedly connected to the outer right side of the first steel plate. A groove is formed on the right side of the bottom of the T-shaped plate, and a rotating shaft is rotatably connected within the groove. A deflecting plate is fixedly connected to the rotating shaft. T-shaped grooves are uniformly formed on the outer left side of the second steel plate, and a slanted groove is formed on the right side of the bottom of the T-shaped groove. First fixing bolts are threaded to the bottom of the second steel plate. This bulb flat steel with an embedded mounting groove eliminates the need for precise drilling in the bulb flat steel through the embedded fit of the T-shaped plates and T-shaped grooves. During installation, the T-shaped plates are simply inserted into the T-shaped grooves, and initial fixing is achieved through the linkage of the deflecting plate and the slanted groove. This reduces the repeated alignment and tightening steps of traditional bolt connections, lowers the reliance on the installer's skill level, and significantly improves installation efficiency.

The present invention relates to the technical field of arteriovenous kettle assembly, and provides an automatic production line for bonding and assembling arteriovenous bevel kettles, comprising a workbench and a fixed plate, a carrying turntable is installed between the workbench and the fixed plate, carrying clamps are evenly arranged on the carrying turntable, and kettle body loading station, kettle body direction adjustment station, filter screen loading and assembly station, filter screen assembly detection and kettle body gluing station, kettle cover loading and assembly station, kettle cover assembly detection station, qualified product unloading station and defective product unloading station are sequentially arranged on the workbench and the fixed plate along the running direction of the carrying turntable; the present invention realizes the automation of a series of production and assembly processes such as loading, assembling, detecting and unloading of the kettle body, kettle cover, filter screen and other components of the arteriovenous bevel kettle, the kettle cover and the kettle body have high assembly consistency, the production efficiency and quality are improved, and the dependence on workers is low, and the processes such as gluing and bonding do not require manual operation, which reduces the labor intensity and labor risk of workers.

The invention discloses a chaos test case obtaining method and device, electronic equipment and a storage medium, and relates to the field of financial science and technology, and the method comprises the steps: responding to an obtained case display request, obtaining a test scene element through an element extraction model, and obtaining a test capability target through an intention recognition model; sorting the matched chaos test cases in the case database according to the test scene elements and the test capability target; and according to the test scene element and the test capability target, updating a target chaos test case selected in the display interface to display the updated target chaos test case. According to the technical scheme provided by the embodiment of the invention, the labor cost and the time cost required by the development of the chaos test case are reduced, the acquisition efficiency of the chaos test case is improved, the dependence degree of the acquisition mode on testers is relatively low, the construction complexity of the chaos test case is simplified, and the test accuracy of the chaos test case is improved.

The utility model relates to a kind of connecting mechanism and equipment pedestal, belong to laser direct imaging equipment technical field.Connecting mechanism includes positioning and guiding component, is set in the splicing of two adjacent pedestals, for the directional splicing of two adjacent pedestals together;Positioning and guiding component includes the first guide plate and second guide plate respectively set in two adjacent pedestals;First guide plate and second guide plate can be slid along splicing direction relative to the pedestal where it is;One of first guide plate and second guide plate is provided with convex part, and the other is provided with recess part;Convex part and recess part are used to guide and position two pedestals in splicing process;Locking assembly is used to fix two adjacent pedestals.By the guiding and positioning effect of first guide plate and second guide plate and the fixing effect of locking assembly, the accuracy and stability of splicing can be ensured while ensuring the rapid splicing of pedestal.

The invention discloses a forensic science mobile DNA laboratory, and particularly relates to the technical field of mobile laboratories, the forensic science mobile DNA laboratory comprises a compartment, a fixed platform is fixedly arranged at the bottom of the compartment, a plurality of wheels are rotatably arranged at the bottom of the fixed platform, a vehicle head is fixedly arranged on one side of the fixed platform, and a recovery mechanism is arranged at the top of the compartment; the recycling mechanism comprises an inclined top plate fixedly arranged at the top of the compartment, water guide frames are fixedly arranged on the two sides of the inclined top plate, inclined coarse strainers are fixedly arranged on the tops of the water guide frames, flow guide pipes are arranged at the bottoms of the water guide frames in a penetrating mode, and water stop valves are fixedly arranged outside the flow guide pipes. According to the invention, water source supplementation can be provided for some non-key water utilization links of the laboratory, the rationality and environmental protection property of the laboratory in the aspect of resource utilization are reflected, the degree of dependence on external water supply is reduced, the water storage tank can be cleaned comprehensively, and good performance and normal operation of the water storage tank can be maintained.

This invention discloses a target detection method, electronic device, and medium based on knowledge distillation, comprising: inputting a target detection image to be detected into a pre-trained target detection model to obtain target detection results; wherein, the training process of the target detection model includes: acquiring target detection data and constructing it into a labeled dataset and an unlabeled dataset; training a teacher model using the balanced labeled dataset; inputting the unlabeled dataset into the teacher model to obtain confidence-labeled data; combining the unlabeled dataset and the confidence-labeled data, and after filtering, obtaining a confidence dataset; setting a distillation loss function, and training a student model based on the distillation loss function using the confidence dataset to obtain a target student model, i.e., a target detection model; wherein the distillation loss function is the sum of bounding box loss, target loss, and classification loss; wherein the target loss and classification loss are both constructed based on the confidence output by the target teacher model.

The utility model relates to the technical field of round steel processing, in particular to a round steel shearing device which comprises a rack and a bearing frame, a transfer frame is arranged at the top of the rack, a plurality of roll shafts are installed in the transfer frame, a first servo air cylinder is arranged at the top of the bearing frame, and a second servo air cylinder is installed on a piston rod of the first servo air cylinder. A piston rod of the second servo air cylinder is provided with a first fixing plate, the side portion of the second servo air cylinder is provided with a second fixing plate connected with the bearing frame in a fastened mode, and the first fixing plate and the second fixing plate are used for stably clamping round steel. And a shearing tool is rotationally installed at the top of the bearing frame, and a storage barrel is arranged at the bottom of the bearing frame and used for storing residues generated after the round steel is sheared off. According to the round steel shearing device, the working efficiency of round steel machining is improved, the working time of shearing round steel is shortened, the requirement for batch machining can be met, the working precision of round steel machining is further improved, the rejection rate of round steel machining is reduced, and therefore it is guaranteed that round steel machining meets the production standard.

The invention belongs to the technical field of chemical detection, and particularly relates to a benzoxazine derivative as well as a preparation method, application and a detection method thereof. The benzoxazine derivative provided by the invention is used as a fluorescent probe, the benzsulfamide group of the benzoxazine derivative can efficiently target an endoplasmic reticulum, dynamic rapid detection of oxidation reduction in the endoplasmic reticulum in a living body is realized for the first time, and the benzoxazine derivative is high in sensitivity, capable of performing specific Mechal addition with GSH, excellent in selectivity, good in biocompatibility, small in toxicity and low in cost. The invention further provides a method for detecting the redox dynamic state in the endoplasmic reticulum of the living body. The benzoxazine derivative provided by the invention selectively responds to environmental changes and is quick in response, so that the detection method provided by the invention has the advantage of real-time in-situ monitoring, is convenient and quick to operate, can be realized only by virtue of an ultraviolet and fluorescence spectrophotometer, and is low in equipment dependence degree.