54results about How to "Achieve targeted" patented technology

The invention discloses an electric power facility visual monitoring system and method, and relates to the technical field of electric power facility operation and maintenance, the system comprises the following components: a multi-source heterogeneous data acquisition module, a multi-source heterogeneous data processing module, a real-time risk assessment and maintenance strategy adjustment module and a visual display module; according to the method, the electric parameters, the environment data, the image video data, the audio data and other multi-source heterogeneous data are integrated, the intelligent fusion algorithm and the association analysis model are utilized, the potential association relationship among different types of data is deeply mined, and therefore the operation condition of the electric power facility can be reflected more comprehensively and accurately, and the operation efficiency of the electric power facility is improved. According to the method, the accuracy and integrity of monitoring data are improved, the system can timely find and pre-judge potential risks, powerful decision support is provided for operation and maintenance personnel, and safety risks and maintenance cost increase caused by incomplete or inaccurate monitoring are effectively avoided.

The invention discloses an automatic control method for tipping paper printing based on image detection, and relates to the technical field of tipping paper printing, and the method specifically comprises the following steps: obtaining surface feature information of each sub-region in a wrinkling region in a tipping paper printing process in real time, and analyzing the surface feature information after obtaining, respectively generating a light intensity anomaly index and a tension instability index of each sub-region; and constructing a wrinkling influence evaluation model for the light intensity anomaly index and the tension instability index of each generated sub-region, respectively generating a comprehensive evaluation coefficient of each sub-region, performing analysis after generation, and evaluating the influence degree of each sub-region in the wrinkling region on the generated printing alignment parameter. And dividing each sub-region in the wrinkling region into a non-influence region, a low-influence region and a high-influence region according to an evaluation result. According to the invention, the problem of insufficient characteristic identification and evaluation of the wrinkling area is solved, and intelligent improvement of printing alignment precision and finished product quality is realized.

The invention relates to the field of VR health education, and discloses a respiratory training health education system based on a VR technology, which comprises a VR health education system, and the VR health education system comprises a data collection module. A highly real VR immersive respiratory training scene is constructed, and the immersion feeling of a user is improved through fine 3D modeling and a vivid light and shadow effect; secondly, according to the physical condition and training requirements of the user, designing a personalized breathing training mode, including breathing rhythm adjustment, deep breathing practice and the like, and giving corresponding training guidance by monitoring breathing data of the user in real time; and finally, establishing a training effect evaluation mechanism, and by collecting and analyzing data of the user in the training process and generating a training report, providing visual training effect feedback for the user, providing a VR respiratory training environment with more realistic and immersive feeling, realizing a personalized and targeted respiratory training mode, and providing training effect feedback capable of being quantitatively evaluated.

The invention relates to the technical field of building data processing and virtual arrangement, in particular to a monitoring camera virtual arrangement method and system based on a BIM technology. The method comprises the following steps: acquiring a BIM data set; performing data preprocessing on the BIM data set to obtain a standard BIM data set; building three-dimensional structure information of the standard BIM data set is extracted, and building three-dimensional structure data is obtained; and performing spatial layout analysis on the three-dimensional structure data of the building to obtain spatial layout data, and performing spatial mapping on the three-dimensional structure data of the building according to the spatial layout data to generate a three-dimensional space map of the building. Therefore, through the Internet of Things technology, the data mapping technology, the virtual arrangement technology and the visualization technology, dynamic influence analysis is carried out on the environment characteristics and the scene state of the building so as to cope with the complex and changeable environment conditions of the building; and different scene requirements are met.

The invention discloses a gene engineering exosome and a slow release method and application thereof, the gene engineering exosome is derived from human adipose-derived stem cells, si-tgfbr2 is loaded in the gene engineering exosome, the si-tgfbr2 is specific siRNA aiming at a Tgfbr2 gene, and the gene engineering exosome can regulate and control proliferation of VSMCs, inhibit transformation of the VSMCs from a contraction phenotype to a synthetic phenotype when the VSMCs are stimulated, and inhibit the growth of the VSMCs. According to the present invention, the gene engineering exosome can be used to maintain the normal structure and the function of the blood vessel, and the sustained release effect of the content in the gene engineering exosome can be achieved by wrapping the gene engineering exosome in the PHA biodegradable material, such that the local treatment concentration can be easily stabilized, the drug administration frequency can be easily reduced, the lasting time of the treatment effect can be easily prolonged, and the treatment gene can be effectively delivered to the target cell; the treatment effect is improved; when being used for modifying a small-caliber artificial blood vessel, the small-caliber artificial blood vessel can be improved in biocompatibility and functionality, and can be prevented from being implanted into the blood vessel for remodeling unbenign hyperplasia stenosis; the invention not only provides a new thought and method for the treatment of vascular diseases, but also has important clinical application value and popularization prospect.

The invention belongs to the field of nano biomedicine, and particularly discloses a yeast bionic vaccine based on a metal organic framework ZIF-8 as well as a construction method and application of the yeast bionic vaccine, and the structure of the bionic vaccine is that ZIF-8 loaded with antigen OVA is encapsulated in a yeast shell. The invention relates to preparation and anti-tumor immune response of the bionic vaccine. The yeast shell is obtained by performing acid and alkali treatment and organic solvent washing on saccharomycetes and has the effects of targeting antigen presenting cells and stimulating immune response, and the antigen-loaded metal organic framework ZIF-8 is encapsulated in the yeast shell and has relatively good stability and an effect of continuously releasing antigens. The ZIF-8 is decomposed in antigen presenting cells, and lysosome escape of the antigen is induced. The yeast bionic vaccine provided by the invention can specifically target antigen presenting cells, continuously release tumor antigens in vivo, mediate escape of lysosome of the antigens and stimulate strong anti-tumor immune response, and has a better application prospect.

The invention provides an automatic intelligent detection system and method for a distribution network. The system comprises an intelligent sensor, a data acquisition and processing module and a distribution network monitoring center, the intelligent sensor carries out data acquisition on distribution network lines and equipment under the control of the data acquisition and processing module, and sends an acquisition result to the data acquisition and processing module; the data acquisition and processing module controls data acquisition of the intelligent sensor according to a control instruction sent by the distribution network monitoring center, and transmits an acquisition result of the intelligent sensor to the distribution network monitoring center for display and analysis; the distribution network monitoring center visually displays an acquisition result, controls the intelligent sensor to search for distribution network abnormity through operation of an operator, obtains abnormal information through analysis of acquired data, and cooperates with the data acquisition and processing module to realize positioning and continuous monitoring of abnormal points. The method can achieve the positioning and continuous monitoring of the abnormal points, and facilitates the guarantee of the normal operation of the distribution network.

The invention discloses a preparation method and application of an i-motif-containing DNA surface modified carbon quantum dot, and the carbon dot is prepared by the following steps: synthesizing a carbon dot, and then carrying out DNA modification. The preparation method comprises the following steps: dissolving phenylenediamine in a polymer solution, uniformly mixing, transferring the solution into a polytetrafluoroethylene inner container, putting the inner container into a stainless steel high-pressure kettle, and heating and reacting in a muffle furnace. And after the reaction is finished, cooling a reaction system to room temperature, then polymerizing DNA containing i-motif as a cross-linking agent with CDs, after the polymerization reaction is finished, freeze-drying the solution, taking out the solution, putting the solution into a dialysis bag, and carrying out dialysis purification to obtain DNA-CDs after dialysis is finished. And then carrying out bionic treatment on the MV-DNA-CDs, so as to obtain the MV-DNA-CDs disclosed by the invention. The nano-carrier prepared by the invention is high in yield and good in stability, has responsiveness and targeting property, and can be used for precise treatment of tumors.

The invention relates to the technical field of intelligent evaluation of garment flatness, and particularly discloses an automatic evaluation method of a non-ironing suit seam flatness grade, and the method comprises the steps: obtaining image data and physical parameter data of a seam region in response to a detection trigger signal of the seam region of a non-ironing suit; and performing key scale screening based on texture contribution degree on the image data, calculating a relevance index between feature distribution and flatness grade probability distribution under different texture scales, and determining the texture scale of which the relevance index meets a preset contribution degree condition as a target key scale. According to the method, the entropy screening mechanism based on the texture contribution degree is introduced, so that the key scale which is most effective for flatness representation can be locked from the multi-source data in a self-adaptive manner, and the refinement and pertinence of feature extraction are realized.

The invention discloses novel cascaded targeted selenium-based hydrogel microspheres for multi-stage antioxidant treatment of osteoarthritis and a preparation method of the novel cascaded targeted selenium-based hydrogel microspheres. The preparation method comprises the following steps: step S1, preparing an LAP solution; s2, preparing a hydrogel precursor solution; s3, preparing a hydrogel oil phase for later use; step S4, preparing hydrogel microspheres with a porous structure; and step S5, preparing the hydrogel microspheres (AHAMA-HMs) loaded with the novel selenium nanoparticles (HA-SeNPs). The AHAMA hydrogel microspheres loaded with the HA-SeNPs can enter an articular cavity through a 5mL injector, and the cartilage is adhered and abraded in a targeted manner by virtue of a Schiff base reaction of-CHO on the surface of the microspheres and-NH2 on the surface of the cartilage, so that micron-level targeting is realized; then, HA-SeNPs released from the AHAMA-HMs is combined with CD44 on the surface of the abraded cartilage cell through hyaluronic acid (HA), so that nano-scale targeting is realized. Subsequently, after entering the cartilage cells, the HA-SeNPs can participate in removal of excess reactive oxygen species (ROS) in the cells in multiple stages, so that multi-stage antioxidant treatment is realized, and further osteoarthritis is treated.

The present invention discloses a high-efficiency and intelligent exploitation and reinjection system for medium-deep geothermal wells, and specifically relates to the field of data analysis technology, including a geothermal well depth division module, a geothermal well information acquisition module, a geothermal well information processing module, a geothermal well information analysis module, and a geothermal well information early warning module. The present invention calculates a geothermal water production capacity evaluation index, a geothermal water exploitation effect evaluation index, and a geothermal water exchange utilization efficiency index through real-time monitoring data. Based on a geothermal water comprehensive management coefficient, a geothermal water exploitation and reinjection early warning coefficient is analyzed and obtained, and compared with a preset value, the effect of geothermal water exploitation and reinjection is comprehensively evaluated from multiple dimensions, thereby being able to more accurately reflect the actual situation of geothermal well exploitation and reinjection. By judging whether the exploitation and reinjection of a specific geothermal well at a specific exploitation depth are abnormal, the early warning is made more targeted and accurate. At the same time, management efficiency is improved through automated early warning.

The invention discloses a benzimidazole derivative of targeted bacterial lipoprotein transporter LolCDE, a composition and application of the benzimidazole derivative, and belongs to the technical field of chemical medicines. The invention provides a benzimidazole derivative of a targeted Gram inner and outer membrane key protein machine. The structure of the benzimidazole derivative is # imgabs0 #. The benzimidazole derivative disclosed by the invention has remarkable bacteriostatic activity, and the minimum inhibitory concentration can be as low as 8 mu g / mL; meanwhile, affinity with target protein LolCDE can be achieved, and a new way is provided for specific antibacterial treatment of gram-negative bacteria.

The invention provides a method and a device for detecting wear resistance of carbon nanofiber molding, and relates to the field of carbon fiber wear resistance detection. Deviation analysis is conducted on time sequence information of the spraying posture, the nozzle moving position, the nozzle flow and the spraying cavity temperature, and a spraying control deviation vector matrix is obtained; and when the spraying control deviation threshold matrix is not met, carrying out wear resistance detection identification on the first nano carbon fiber forming body, and conveying the first nano carbon fiber forming body to a wear resistance detection area for wear resistance detection. The technical problem that in the prior art, due to the fact that spraying uniformity of a wear-resistant coating of an irregular-shaped carbon nanofiber forming body is insufficient, comprehensive detection is needed, and the detection efficiency is low is solved, the purposes that products possibly having the wear-resistant performance problem are recognized by analyzing spraying process parameters, selective wear-resistant performance detection is achieved, and the detection efficiency is improved are achieved. And the detection efficiency is improved.

The invention provides a prodrug molecule based on a zwitterionic polyamide-amine dendrimer, a nano drug-loaded micelle as well as a preparation method and application of the prodrug molecule and the nano drug-loaded micelle. The preparation method of the nano drug-loaded micelle comprises the following steps: after PAMAM is modified by maleic anhydride, thiolated paclitaxel, c (RGDfC) and thiolated histidine are grafted on PAMAM through sulfydryl alkenyl reaction, and hydrophobic anti-cancer drugs are entrapped by utilizing the self-assembly characteristic of PAMAM to form the nano drug-loaded micelle. The nano drug-loaded micelle has the advantages of high drug loading capacity, small toxic and side effects, uniform particle size distribution, good stability, capability of enhancing the bioavailability of hydrophobic drugs and the like, has pH responsiveness, and can realize targeted release of the drugs at tumor parts, so that the tumor inhibition effect is enhanced.

The invention discloses a database model development method and device, electronic equipment and a storage medium, and relates to the technical field of data processing.The method comprises the steps that in response to selection operation of database model development requirements, developed service scene information and a target service platform are determined, and service data of the target service platform are obtained; determining a target engine in a plurality of preset modeling engines according to the business scene information; and processing the business data through the target engine to form a database model corresponding to the target business platform. The problem that a traditional database model development tool cannot flexibly select and configure a modeling engine for a specific business scene and a specific data platform is solved, and the effect of supporting different OLAP engines to perform database model development under different business scenes is achieved.

The present invention discloses a marketing data analysis and processing method and system based on big data. The marketing data analysis and processing method based on big data includes: counting the basic marketing information corresponding to the designated enterprise; setting the marketing monitoring information according to the basic marketing information corresponding to the designated enterprise; extracting the marketing data corresponding to the designated enterprise in each monitoring period in each marketing channel from the background of each marketing channel; and analyzing it, thereby confirming the marketing type corresponding to each marketing channel, and providing feedback; the present invention effectively solves the problem that the current technology does not analyze the marketing situation of different marketing channels, provides reliable decision-making suggestions for the subsequent selection of marketing channels by enterprises, promotes the management efficiency of enterprises for each marketing channel, and at the same time provides a clear direction for the rectification of the subsequent marketing strategy of the enterprise, avoiding the one-sidedness of the current single analysis dimension.

The present invention discloses benzimidazole derivatives, compositions and uses thereof targeting bacterial lipoprotein transport protein LolCDE, belonging to the field of chemical medicine technology. The present invention provides a class of benzimidazole derivatives targeting key protein machinery of Gram inner and outer membranes, and its structure is. The benzimidazole derivatives of the present invention have significant antibacterial activity, and the minimum inhibitory concentration can be as low as 8 μg / mL; at the same time, they can have affinity with the target protein LolCDE, providing a new way for specific antibacterial treatment of Gram-negative bacteria.

The invention discloses a coal mine unmanned vehicle-oriented multi-mode perception data fusion enhancement method and system, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image quality attenuation prediction, generating a prediction visible light image quality attenuation index sequence and a prediction infrared image quality attenuation index sequence, and carrying out the prediction of the infrared image quality attenuation index sequence; formulating an adaptive visible light image enhancement strategy and an adaptive infrared image enhancement strategy; performing image enhancement on the vehicle sensing data to generate a visible light enhanced image stream and an infrared enhanced image stream; and inputting the visible light enhanced image stream and the infrared enhanced image stream into a cross-modal feature fusion plug-in for cross-modal feature alignment, generating a multi-modal fusion enhanced perception result, and transmitting the multi-modal fusion enhanced perception result to a downstream automatic driving perception decision center in real time. The technical problems of insufficient enhancement strategy adaptability and poor cross-modal fusion effect caused by micro-environment dynamic change of existing underground coal mine multi-modal sensing data are solved.

The invention discloses an ISG15 overexpression cell line, an SRM-enriched exosome as well as a preparation method and application of the ISG15 overexpression cell line and the SRM-enriched exosome, and ISGylation modification of spermidine synthase SRM is induced by constructing an ISG15 overexpression stably transfected cell line, so that packaging and sorting of the spermidine synthase SRM into the exosome are promoted. The technical scheme disclosed by the invention shows that the spermidine synthase transmitted by the exosome has biological activity and can catalyze to generate spermidine after being absorbed by target tissues / target cells, so that the spermidine synthase has wide application prospects in multiple aspects of disease treatment, medical care, beauty treatment, young keeping and the like. In addition, other protein or polypeptide drugs can be modified through a genetic engineering technology to be subjected to ISGylation modification so as to be wrapped in the exosome, and simultaneous administration of multiple proteins is realized.

This invention discloses a machine vision-based method for detecting contaminant residues after duodenoscope reprocessing, specifically in the field of machine vision, to address the problem of accurately locating and removing contaminant residues after existing duodenoscope reprocessing. The method involves applying controlled incident angle, wavelength, and polarization state light perturbations to the outer surface and inner lumen of the duodenoscope, acquiring image sequences under perturbation, and extracting temporal brightness response features of pixel blocks. Brightness difference residuals and consistency weights are calculated at different incident angles to identify candidate abnormal regions and generate a difference map reflecting their response characteristics to a clean baseline. The difference map is segmented, analyzed for connectivity, and clustered. Combining three-dimensional coordinate continuity and surface normal consistency, the three-dimensional spatial boundary of the suspected contamination area is delineated. Within this range, directional cleaning and retesting are performed, with repeated detection until the contamination area disappears, achieving high-precision detection and efficient cleaning.

The present invention discloses a tumor nanoparticle based on CXCR1 targeting polypeptide and Prussian blue, wherein the tumor nanoparticle comprises a hollow mesoporous Prussian blue nanoparticle; the surface of the hollow mesoporous Prussian blue nanoparticle is modified with a CXCR1 targeting polypeptide, and a fluorescent dye is loaded inside. The present invention grafts the CXCR1 targeting polypeptide into the hollow mesoporous Prussian blue nanoparticle (PBNPs), organically combines the targeting of CXCR1 with the photothermal effect of Prussian blue, and has a strong killing effect on highly metastatic osteosarcoma cells. This is crucial to the development of a method for effectively controlling the recurrence and metastasis of osteosarcoma, reducing the systemic adverse reactions caused by chemotherapeutic drugs, etc., making the present invention have important theoretical and application value.

The invention belongs to the technical field of data fusion, and particularly relates to a multi-source data fusion method based on an AI model technology, and the method comprises the steps: carrying out the data expression feature extraction of data in various identity information databases before data fusion, selecting an adaptive preprocessing mode, achieving the targeted and flexible preprocessing of data in different data sources, and improving the data fusion efficiency. The difficulty and the cost of the processing process are reduced while the processing efficiency is improved, data are classified into common information and unique information in the data fusion process, so that inconsistent information item identification and correction are performed on the common information, the unique information and the common information are associated and integrated to form a unique information association link, and the processing efficiency is improved. Therefore, classified integration of information in different data sources is realized, consistency of common information in the different data sources can be guaranteed, relevance of the information in the different data sources can be enhanced, and the fused data is higher in application value.

The invention provides an audio processing method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring an audio to be played, and converting time domain data of the audio to be played into frequency domain data; detecting a tone type contained in the audio to be played based on the frequency domain data; in response to a target timbre existing in the timbre type, obtaining a timbre operator corresponding to the target timbre; and performing signal enhancement for the target tone on the frequency domain data according to the tone operator to obtain an audio to be output. According to the method, selective enhancement can be carried out by applying the timbre operator only when the target timbre is detected, so that the timbre operator is prevented from being used for all to-be-played audios without difference, and the pertinence and accuracy of audio processing are realized.

This invention relates to the field of speech recognition technology, specifically a spoken pronunciation correction and evaluation method. The method includes: constructing an audio time-series sequence containing multiple phonemes based on the standard text spoken by the user; comparing the audio features corresponding to different phonemes in the audio time-series sequence based on the standard pronunciation of each phoneme to locate the pronunciation deviation position corresponding to each phoneme; if the current phoneme has a pronunciation deviation position, performing contextual scene analysis on the pronunciation deviation position by combining the duration, interval, and tone of the preceding and following phonemes to determine the deviation type in the current phoneme's context; identifying the user's abnormal pronunciation patterns; and configuring correction weights for each abnormal pronunciation pattern based on the difference feature values ​​between any two abnormal pronunciation patterns, and determining the correction direction corresponding to each phoneme according to the correction weights of the abnormal pronunciation patterns. This achieves targeted and efficient spoken pronunciation correction.

The invention discloses a PLGA (poly (lactic-co-glycolic acid)) targeted drug composite material as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The preparation method of the PLGA targeted drug composite material comprises the following steps: dissolving astaxanthin, dihydroartemisinin and a polylactic acid-glycolic acid copolymer in an organic solvent to obtain a mixed solution, adding the mixed solution into a surfactant solution, loading the astaxanthin and dihydroartemisinin on the polylactic acid-glycolic acid copolymer to form drug-loaded PLGA, and preparing a dispersion liquid; and adding an activated hyaluronic acid solution into the dispersion liquid, and stirring to wrap the hyaluronic acid on the drug-loaded PLGA to obtain the PLGA targeted drug composite material. The dihydroartemisinin and the astaxanthin are loaded on the polylactic acid-glycolic acid copolymer and coat the hyaluronic acid, and the active targeting function of the hyaluronic acid targets inflammatory macrophages at a focus part, so that the nano composite material is effectively utilized by target cells, and the atherosclerosis prevention and treatment effect of the nano composite material is improved.

The invention relates to the technical field of biological targeted delivery systems, and discloses a bionic nanoparticle for photodynamic combined calcium overload, which comprises a nanoparticle which is an indocyanine green-calcium phosphate nanoparticle; the fusion membrane is a composite membrane, and the composite membrane comprises a mitochondrial membrane and a neutrophile granulocyte membrane. The particle size of the nanoparticles prepared by a coprecipitation method is nanoscale, and the particle size of the nanoparticles coated with the two films is slightly increased. Under the wrapping of the two membranes, the ICG / CaP nanoparticles are endowed with the biological characteristics of long circulation time, targeting, good biocompatibility and the like, and the anti-tumor effect of a photodynamic therapy and the synergistic treatment effect of mitochondrial Ca < 2 + > overload are enhanced; the synergistic treatment effect not only can accurately target tumor cell mitochondria, but also can promote calcium ion release based on photodynamic force to form a cascade synergistic effect of photodynamic force and calcium overload, and provides a potential efficient strategy for synergistic treatment of photodynamic therapy and other anti-tumor strategies.

The invention discloses an aza-hemicyanine dye and application thereof, and compared with a dye with similar functions, the novel aza-hemicyanine dye molecule provided by the invention can effectively prevent non-specific binding of serum albumin and the hemicyanine dye; the stability, the fluorescence quantum yield and the Stokes shift of the hemicyanine dye are enhanced; the dye provided by the invention is simple in synthesis step, convenient to purify and relatively high in yield; a six-membered heterocyclic ring is introduced into a side chain of the aza-hemicyanine dye, so that the binding with protein is effectively avoided, the false positive number interference of serum albumin on a dye fluorescence signal is eliminated, meanwhile, the kidney targeting is realized, and the high fidelity of imaging is improved; the probe NA-H2S2 synthesized on the basis of the dye NA-6, provided by the invention, is used for rapidly detecting the change of the concentration of H2S2; the dye molecule is simple and convenient in synthesis step, easy to purify and excellent in imaging performance, a fluorescence signal is not interfered by serum albumin, and the dye molecule is suitable for high-fidelity imaging of kidneys.

The present invention discloses a method for preparing a calcite calcium carbonate nano-delivery platform. Copper ions and anti-tumor drugs are added to a calcium chloride (CaCl2) solution at the same time. No further treatment is required. The delivery platform can be prepared by utilizing carbon dioxide (CO2) generated by the decomposition of ammonium bicarbonate (NH4HCO3) in the external environment to diffuse into the reaction solution. The method is simple and does not require any post-treatment. Anti-tumor drugs and copper ions can be directly loaded into calcite calcium carbonate nanoparticles, and large-scale mass production can be achieved. The prepared nano-delivery platform has pH and GSH dual responsiveness and tumor targeting capabilities, thereby reducing the systemic toxic side effects of anti-tumor drugs and can also utilize Cu 2+ The reaction with the high content of GSH in the tumor produces a large amount of reactive oxygen, which further enhances the effect of tumor treatment. This method of constructing a nano drug delivery system is of great significance for achieving targeted treatment of tumors.

The invention relates to a method and a system for predicting the probability of temporal lobe injury before radiotherapy, and belongs to the technical field of medical data processing. The method comprises the following steps: acquiring a dose volume histogram of a patient based on tumor dose data; acquiring volume parameters and bioequivalent doses of the left side temporal lobe and the right side temporal lobe of the patient; inputting the volume parameter and the bioequivalent dose of the left side temporal lobe of the patient into a mathematical prediction model to obtain a first injury prediction probability, and inputting the volume parameter and the bioequivalent dose of the right side temporal lobe of the patient into the mathematical prediction model to obtain a second injury prediction probability; based on the tumor data of the patient, determining correlation coefficients of a left side temporal lobe and a right side temporal lobe of the patient; and determining the temporal lobe injury probability of the patient based on the correlation coefficient, the first injury prediction probability and the second injury prediction probability. According to the method, a doctor can be assisted in making a more accurate radiotherapy plan, and the limitation of traditional empirical prediction or qualitative evaluation is overcome.

This invention proposes a method and system for identifying and cleaning filter plate contaminants, belonging to the field of filter plate contaminant cleaning technology. The method includes: identifying contaminants on the filter plate; determining the position, size, and shape of individual contaminants; covering each contaminant using the minimum circumcircle method; determining the coordinates and radius of the minimum circumcircle center of each contaminant; determining the cleaning sequence of all contaminants; identifying multiple key points within the minimum circumcircle of each contaminant; calculating the robot arm joint angles at each key point on each contaminant using an inverse kinematics algorithm; obtaining the optimal pose of the robot arm at each key point when cleaning all contaminants; and controlling the robot arm to perform targeted cleaning of the multiple key points corresponding to each contaminant based on the optimal pose of the robot arm at each key point when cleaning all contaminants. This invention enables targeted cleaning of contaminants, improving cleaning effectiveness, efficiency, and results.