37results about How to "Solve the problem of heterogeneity" patented technology

The invention discloses a knowledge-graph representation learning method based on multiple semantemes. The method includes the steps that different semantemes of relationships are considered, a modelbased on translation between physical vectors and relationship vectors and different semantemes of relationships in a triple structure are used in cooperation with projected vectors of head-tail entities to define relationship matrixes, correlation between the physical vectors and the relationship vectors in the triple structure is well expressed, and more parameters are not introduced; the physical vectors and the relationship vectors are correlated through loss functions, and the loss functions are optimized; when the optimization target is achieved, all the physical vectors and all the relationship vectors in knowledge graphs can be learned. By means of the knowledge-graph representation learning method based on the multiple semantemes, the problems of the heterogeneity and the unbalancedness between entities and relationships in a knowledge base are solved, and the entities and the relationships and correlation between the entities and the relationships are more accurately expressed, and are applied to large-scale knowledge graphs.

Disclosed is a preparation method for an artificial graphite negative electrode material for a lithium ion battery. Artificial graphite coke powder with small grain diameter and an organic carbon source are taken as the raw materials; the raw materials are subjected to procedures of mixing, high-temperature treatment, graphitization treatment, sieving and the like; the coke powder and the organic carbon source are mixed in a heating environment, and the effects of coating, mixing and holding, secondary pelleting and the like can be achieved; the small-particle coke powder can form secondary particles under the cohesive action of the organic carbon source; therefore, the problem of anisotropy of the material is solved, and the tap density of the material is improved; meanwhile, the artificial graphite negative electrode material is capable of lowering the material turnover and equipment residual loss, high in yield, simple in procedures, low in energy consumption, environment-friendly, uniform in the coating effect on the surface of the material, and high in consistency; and in addition, the prepared negative electrode material has the characteristics of isotropy, low iron impurity content, low initial irreversible capacity, small volume expansion, high absorbency, high circulation performance, high performance cost ratio, excellent comprehensive performance and the like.

Through a method in the field of artificial intelligence, the personalized search system for enhancing privacy protection based on federated learning is achieved, a hardware architecture of the systemis composed of a client and a server, a personalized search framework based on federated learning is constructed, a specifically trained underlying model is a personalized sorting model, and the personalized sorting model is a personalized search framework based on federated learning. Clients and data stored in the clients jointly participate in training of a personalized sorting model in a federated learning mode, the trained model is deployed on each client, query is initiated on the clients, search history H of a user is stored, a user portrait P is constructed, non-personalized results returned from a server is rearranged, and the rearranged non-personalized results are displayed to the user. The problem of protecting the privacy of the user when the user interest is mined by utilizing the query history of the user to deduce the current query intention is solved; based on the framework, two models of FedPSFlat and FedPSProxy are designed, so that the problem of data heterogeneityis solved, and the problems of performance bottleneck, communication obstacle and privacy attack faced by single-layer FedPSFlat are solved.

The invention provides a high-angle well / horizontal well formation resistivity anisotropy correcting method. The method comprises the following steps of: 1, building a horizontal and vertical resistivity interpretation chart according to various parameters of resistivity macroscopic anisotropy and microscopic anisotropy and the mutual relationship among the parameters; and 2, determining the total macroscopic and microscopic anisotropy coefficient of the formation resistivity by an iterative algorithm according to the analysis on the horizontal and vertical resistivity interpretation chart, so that the formation resistivity anisotropy correction is performed, and the horizontal resistivity representing the real resistivity of a target layer is worked out. The method effectively solves the problems that a chart method cannot reflect the heterogeneity of a reservoir and is not suitable for level-by-level interpretation of logging information; and due to small correcting chart number and high dispersion degree, an automatic correcting method does not completely conform to the practical conditions, and has the defects of great regional limitation and the like. The high-angle / horizontal well formation resistivity anisotropy correcting method is very suitable for level-by-level interpretation of the logging information; fast interpretation in production can be timely served and met; and good application prospects are realized.

The invention relates to a method for monitoring operation of a satellite application system based on an Ajax and Web service technology, which comprises the following steps that: a state data submission interface is defined and issued as a Web service; a task running monitoring module and a system state monitoring module submits state information from a Web service client to a state data submission module; a state data submission module updates the state information into a local state data library and sends a state change notice to a state data maintenance module; the state data maintenance module updates a state point identity of the state information, responds to a state information request from the client and delays the return of the state information when the state information is submitted or the time is out; and a page of the client asynchronously acquires the state information through an Ajax client and updates the state value and the state point identity of a local page. The invention is applied to the task running monitoring and system state monitoring of the satellite ground application system, and solves the problems that the repeated information consumes network resources, the page can not be automatically synchronized with the server, the system is of high coupling and low flexibility, and the like.

The invention discloses a well placing method for a karst-type carbonate reservoir in the technical field of oil and gas exploitation. The well placing method for the karst type carbonate reservoir comprises the steps that S1, firstly, the Ordovician Karst-type reservoir is selected as a well placing object; S2, a plurality of reaction-sensitive parameters of a carbonate rock karst-type reservoir are extracted and screened; S3, the fracture development density generated by multi-stage tectonic movement is predicted through the response variable analysis technology; S4, an ancient geomorphological map of original Ordovician carbonate rock karst is drew; S5, the wave impedance difference of different lithology sections of Ordovician carbonate rock is utilized to determine the reservoir thickness and the spatial distribution form; S6, reasonable evaluation indices are determined, and the karst-type reservoir with consistent reaction through a variety of information is a development zone; and S7, a favorable area with high evaluation indices is selected to conduct well position placing. The serious heterogeneity problem of the reservoir is effectively solved, the reliable basis is provided for well position placing, and the well placing method is reasonable.

The invention discloses a multipotential stem cell-derived mesoderm pedigree mesenchymal stem cell and an induced differentiation method thereof. The multipotential stem cell-derived mesoderm pedigreemesenchymal stem cell is prepared by the following steps: performing in-vitro adherent culture on multipotential stem cells and maintaining the undifferentiation state of the multipotential stem cells; preparing unicellular or cell mass suspension from the cells, inoculating to a culture dish coated with matrix glue, and performing cultivation by using the multipotential stem cell culture liquid;after the cells adhere to the wall, adding GSK-3 pathway inhibitor combination into the culture liquid; after growing for 2 to 10 days, obtaining a mesoderm progenitor population; and after subculturing continuously for 2 to 6 times by using mesenchymal stem cell culture liquid, detecting the cell phenotype of mesenchyme. The defects that the human-derived mesenchymal stem cells and the mesenchymal stem cells derived from other non-finite induced way multipotential stem cells have heterogeneity and hybridity are overcome, and the obtained mesoderm pedigree mesenchymal stem cells have higher proliferation capability and immunoregulation capability; and the standardized induced differentiation process can guarantee that the cell populations obtained from different batches have high consistency.

An apparatus and a method for machine-to-machine (M2M) communication are disclosed. The present invention abstracts a device through a pre-stored device master template and a resource master template, manages the M2M communications through an interface accessible to a resource, and periodically synchronizes information. The present invention can solve a scalability problem of a system and a heterogeneity problem of the interface accessible to the resource, minimize a load of a network service capability layer without inhibiting service quality, and perform synchronization.

The invention discloses a cross-modal image saliency detection method. The paired multi-modal images are inputted and different modes are divided by a super-pixel segmentation algorithm so as to obtain uniform super-pixel regions with approximate size; a multimodal image saliency detection model based on the graph manifold sorting algorithm is designed, and the cross-modal soft consistency constraint and the manifold sorting fitting term sparsity constraint are introduced; the super-pixels on four sides of the image are used as seed nodes and the similarity between other nodes and seed nodes is calculated so as to obtain a preliminary saliency map; referring to the foreground points obtained in the previous stage as the seed nodes and the similarity of other nodes to the node is calculated, and the final saliency map is obtained. A method for complementarily fusing the multimodal images based on the graph manifold sorting algorithm is provided, and l1 norm is introduced to realize cross-modal soft consistency constraint and the manifold sorting function fitting term sparsity constraint, i.e. partial inconsistency is allowed on the basis of coordination of multiple modes, and the robustness of the fitting term is increased.

The invention relates to a supervised classification method, in particular to a supervised classification method based on a hybrid neural network, and belongs to the technical field of computers and information science. The method comprises the following steps of completing initialization of data division by using a K-means algorithm; training a local NN model; using an EM algorithm to jointly optimize the gating function and the expert model; updating the gate control network parameters through SGD, re-dividing the data, and using the newly-divided data subsets for retraining the local NN model; repeating the above steps until convergence. According to the supervised classification method provided by the invention, the hybrid neural network is fused to supervised classification, so that the data with heterogeneity are divided into a plurality of homogeneous data subsets, a local expert model is learned in each subset, the classification accuracy is effectively improved, and the classification accuracy is superior to that of most other supervised classification algorithms.

The invention discloses an IBN-based Internet-of-things satellite system and a routing method thereof. The system includes an application layer, which is used for submitting intents of user requests to a control layer; the control layer, which is used for receiving service intents of the application layer, and translating the service intents of the application layer into implementable solutions toissue the same to a data layer; a data layer, which is used for data forwarding; and a maintenance layer, which includes a sensing module and a self-healing module. The sensing module is used for sensing network status according to status information and traffic information on the data layer and all other network elements, and maintaining smoothness of a network according to link load and trafficsizes; and the self-healing module is used for detecting network anomaly situations, establishing firewalls, and predicting security problems. The system ensures safe and automatic maintenance in anInternet-of-things satellite, also solves heterogeneity problems of Internet-of-things equipment, and effectively reduces probability that network configurations cause the network to be not smooth.

The invention discloses a neural crest spectrum mesenchymal stem cell derived from pluripotent stem cells and an induced differentiation method thereof. The induced differentiation method of the neural crest spectrum mesenchymal stem cell comprises the following steps: dissociating the pluripotent stem cells to obtain cell aggregates, carrying out suspension culture to form embryoid bodies, replacing a culture solution with a neural crest cell culture solution, carrying out suspension culture of the embryoid bodies, collecting the embryoid bodies and replacing the culture solution every day; enabling the embryoid bodies to grow for a certain time by adhering to the wall after culturing for a certain time; digesting and collecting cells; culturing the collected cells by enabling the cells to adhere to the wall, replacing the culture solution with a mesenchymal stem cell culture solution, carrying out passage culture, then detecting the mesenchymal cell phenotype to obtain the neural crest spectrum mesenchymal cell. Through the method, the defects of heterogeneity and hybridity between adult-derived mesenchymal stem cells and other mesenchymal stem cells derived from the pluripotentstem cells of non-finite induction pathways can be solved; the prepared neural crest spectrum mesenchymal stem cell has higher immunoregulation and osteogenic differentiation capabilities; the standardized induced differentiation process is capable of ensuring that cell populations prepared between different batches have good consistency.

The invention discloses a key information infrastructure asset identification method combined with a mixed random forest, and belongs to the technical field of computers and information science. The method comprises the following steps of carrying out the structured processing on the collected facility asset data and carrying out the feature optimization expression to obtain an extended feature vector; in combination with a Delphi expert consultation method and a principal component analysis method, analyzing the key influence factors of the asset facilities, and extracting the key feature vectors; combining the plurality of random forest judgment models with a gating function to obtain a mixed random forest judgment model; and based on the constructed mixed random forest model, identifying whether the traffic is a key asset infrastructure or not. According to the key information infrastructure asset recognition method provided by the invention, the asset feature construction and the key factor extraction are realized by combining a machine learning method under big data, and the respective expert models are constructed by partitions, so that the recognition accuracy and efficiency are improved, and the generalization ability and expandability of the model are improved.

The invention provides a water soluble temporary plugging agent for acidification of a water injection well in a low permeability oilfield, and a preparation method and an application thereof. The water soluble temporary plugging agent is prepared by mixing an inorganic salt, a dispersing agent and a particle size control agent uniformly, wherein based on a total weight of the water soluble temporary plugging agent, the content of the inorganic salt is 1%-20% (depending on application requirements); the content of the dispersing agent is 1%; the content of the particle size control agent is 0.2%-0.5%; the inorganic salt is selected one or more from sodium salicylate, sodium p-benzene sulfonate and sodium benzoate; the dispersing agent is selected one or more from methanol, ethanol, propanol and n-butanol; and the particle size control agent is selected one or more from isoamyl alcohol, n-hexane, EDTMPS and ATMP. The temporary plugging agent can effectively enter a reservoir stratum of the low permeability oilfield and be mainly applied in acidification works of the water injection well.

The invention relates to a field intensity compensation method for constructing an inhomogeneous field through an auxiliary electrode. The field intensity compensation method includes the following steps that the distribution position of the auxiliary electrode is designed in a matrix electrode unit according to the pollutant concentration spatial distribution; the polarity of the auxiliary electrode is designed according to the position relationship between the auxiliary electrode and a matrix electrode; and the inhomogeneous field is constructed through the auxiliary electrode and the matrix electrode, and space compensation for the intensity of the field is achieved. According to the pollutant concentration spatial distribution, on the basis of the matrix electrode, the inhomogeneous field matched with a pollutant concentration field is constructed through space distribution and polarity setting of the auxiliary electrode, the contradiction between the pollutant spatial distribution heterology and the homogeneous field removal efficiency consistency is overcome, the spatial difference of the organic contaminated soil electrokinetic remediation efficiency is avoided, and the overall electrokinetic remediation spatial remediation efficiency is accordingly improved.

The invention provides a double-target chimeric antigen receptor targeting CLL1 and a NKG2D ligand and application thereof. The double-target chimeric antigen receptor comprises a signal peptide, an antigen binding structural domain, a hinge region, a transmembrane structural domain and a signal transduction structural domain, and the antigen binding domain comprises an anti-CLL1 antibody and NKG2D. The CAR molecule simultaneously targeting CLL1 and the NKG2D ligand is constructed, the effect of comprehensively targeting acute myelogenous leukemia cells is achieved, the CAR-T cells for expressing the double-target CAR targeting CLL1 and the NKG2D ligand are remarkable in tumor removal effect, the antigen escape phenomenon is avoided, and the CAR molecule has important significance in the field of tumor treatment.

The invention discloses a rapid induced differentiation method of mesenchymal stem cells, a kit and application thereof. The rapid induced differentiation method of mesenchymal stem cells provided by the invention can be used for preparing enough number of mesenchymal stem cells capable of meeting clinical requirements in a short time at high yield, because there is no step of forming an embryoid body, the preparation process is simple, and the method has the advantages of high differentiation efficiency, convenience in purification and separation and the like. In addition, animal serum and other non-human additives are not involved in the differentiation process, the mesenchymal stem cells are more suitable for clinical requirements, and the mesenchymal stem cells obtained through differentiation are high in multiplication capacity and vigorous in cell activity.

The invention provides a CLL1 and CD33 double-target chimeric antigen receptor and application thereof. The chimeric antigen receptor comprises a signal peptide, an antigen binding domain, a hinge region, a transmembrane domain and a signal transduction domain, and the antigen binding domain comprises an anti-CLL1 single-chain antibody and an anti-CD33 single-chain antibody. According to the constructed CAR molecule simultaneously targeting CLL1 and CD33, the effect of comprehensively targeting acute myelogenous leukemia cells is achieved, the CAR-T cells for expressing CLL1 and CD33 double-target CAR are remarkable in tumor removal effect, the antigen escape phenomenon is avoided, and the CAR molecule has important significance in the field of tumor treatment.

The invention discloses a determination method for alternate injection opportunity of gel / polymer flooding. According to the determination method, alternate opportunity 1, alternate opportunity 2 and alternate opportunity 3 are determined according to the output liquid moisture content and injection quantity of oil displacement systems. The alternate opportunity 1 is the opportunity corresponding to the time when the output liquid moisture content reaches a certain value. The alternate opportunity 2 is the opportunity corresponding to the time when the injection quantity of the oil displacement system 2 is 0.05-0.3 PV. The alternate opportunity 3 is the opportunity corresponding to the time when the injection quantity of the oil displacement system 3 is equal to the difference value of 0.45 PV and the injection quantity of the oil displacement system 2. The viscosity, obtained through change injection in the alternate opportunity 1, of the oil displacement system 2 is larger than the viscosity, obtained through prior injection, of the oil displacement system 1. The viscosity, obtained through change injection in the alternate opportunity 2, of the oil displacement system 3 is smaller than the viscosity of the oil displacement system 2. Through the determination method, heterogeneous oil reservoirs conducting chemical flooding can obtain different oil displacement effects, and thus the usage degree of a low permeable layer is improved.

The invention discloses a knowledge map representation learning method based on multiple semantics. Firstly, different semantics of relations are considered, a translation-based model between entity vectors and relational vectors is adopted, and different semantics of relations in a triple structure are used in combination with headers. The projection vector of the tail entity defines the relationship matrix, and well represents the correlation between the entity vector and the relationship vector in the triplet, without introducing more parameters; then use the loss function to associate the entity vector and the relationship vector , and optimize the loss function, when the optimization goal is achieved, the vector of each entity and the vector of the relationship in the knowledge graph can be learned. The invention solves the heterogeneity and imbalance of entities and relationships in the knowledge base, more accurately represents the entities and relationships and their interrelationships, and applies it to large-scale knowledge graphs.

The invention relates to a preparation method of a nanoporous carbon ceramic membrane nanofiltration composite membrane, which uses a sol-gel method to sequentially prepare γ-Al on a commercial macroporous ceramic support body 2 o 3 And the mesoporous silicon layer, and then introduce the metal organic framework compound into the mesopore to adjust the pore size to form a selective separation layer of the ceramic membrane, and prepare the nanoporous carbon ceramic nanofiltration composite membrane with MOFs as the sacrificial template. The invention uses a liquid phase epitaxial growth method to pass a metal salt solution through a mesoporous silicon-modified ceramic membrane at a certain flow rate, and then pass an organic ligand solution through the ceramic membrane to generate MOFs seeds in the mesoporous pores. This process is cycled several times, and directional coordination reactions continue to occur in the mesopores to reduce the pore size, and then it is carbonized at high temperature to form nanoporous carbon. While retaining the carbon skeleton structure of MOFs, it has acid resistance, alkali resistance and oxidation resistance. The preparation of the invention is an efficient method for preparing an effective ceramic nanofiltration membrane, and is suitable for large-scale production.

The invention provides a high-angle well / horizontal well formation resistivity anisotropy correcting method. The method comprises the following steps of: 1, building a horizontal and vertical resistivity interpretation chart according to various parameters of resistivity macroscopic anisotropy and microscopic anisotropy and the mutual relationship among the parameters; and 2, determining the total macroscopic and microscopic anisotropy coefficient of the formation resistivity by an iterative algorithm according to the analysis on the horizontal and vertical resistivity interpretation chart, so that the formation resistivity anisotropy correction is performed, and the horizontal resistivity representing the real resistivity of a target layer is worked out. The method effectively solves the problems that a chart method cannot reflect the heterogeneity of a reservoir and is not suitable for level-by-level interpretation of logging information; and due to small correcting chart number and high dispersion degree, an automatic correcting method does not completely conform to the practical conditions, and has the defects of great regional limitation and the like. The high-angle / horizontal well formation resistivity anisotropy correcting method is very suitable for level-by-level interpretation of the logging information; fast interpretation in production can be timely served and met; and good application prospects are realized.

The embodiment of the invention discloses an advertisement information publishing method and device based on micro-service. The method comprises the following steps: receiving a first advertisement information obtaining request sent by multimedia equipment; performing information conversion processing on the received advertisement information acquisition request to obtain a second advertisement information acquisition request, the second advertisement information acquisition request being an advertisement information acquisition request in a standard message format; sending the second advertisement information acquisition request to a business micro-service platform, and receiving first advertisement content information fed back by the business micro-service platform; information conversion processing is carried out on the received first advertisement content information to obtain second advertisement content information, the second advertisement content information is sent to the multimedia equipment, and the format of the second advertisement content information is the same as that of the first advertisement information obtaining request message. The problem that a single application is not suitable for advertisement information release can be solved, and the data processing efficiency of advertisement information release is improved.

The invention discloses a cross-modal image saliency detection method, which inputs paired multi-modal images, uses a superpixel segmentation algorithm to segment different modalities, and obtains superpixel regions of uniform size and similar size; the design is based on graph flow The multi-modal image saliency detection model of the shape sorting algorithm introduces cross-modal soft consistency constraints and manifold sorting fitting item sparsity constraints; uses the superpixels on the four sides of the image as the seed nodes to calculate the similarity between other nodes and the seed nodes To obtain a preliminary saliency map; refer to the foreground point obtained in the previous stage as a seed node, calculate the similarity of other nodes to this node, and obtain the final saliency map. The present invention proposes a method for complementary fusion of multi-modal images based on graph manifold sorting algorithm, and introduces l 1 The norm implements cross-modal soft consistency constraints and manifold ranking function fitting item sparsity constraints, that is, on the basis of coordinating multiple modalities, partial inconsistencies are allowed to increase the robustness of fitting items.

The invention discloses a mesoderm lineage mesenchymal stem cell derived from pluripotent stem cells and a method for inducing differentiation thereof. The pluripotent stem cells are adhered to culture in vitro and kept in an undifferentiated state; the cells are prepared into single cells or cell aggregates Suspension, inoculated on a culture dish coated with Matrigel, and cultured with pluripotent stem cell culture medium; after the cells adhered to the wall, a combination of GSK-3 pathway inhibitors was added to the culture medium; after growing for 2 to 10 days, the mesoderm progenitor was obtained Cell population; obtained by using the mesenchymal stem cell culture medium to continuously subculture for 2 to 6 times and then detecting the mesenchymal cell phenotype. The invention solves the shortcomings of heterogeneity and mixing of adult-derived mesenchymal stem cells and other non-limited induced pathway pluripotent stem cells, and the obtained mesoderm lineage mesenchymal stem cells have stronger proliferation and immune regulation capabilities ;Standardized induction and differentiation procedures can ensure good consistency of cell populations obtained between different batches.

The invention relates to urine-derived mesenchymal stem cell mitochondria and a transplantation method and application thereof.The urine-derived mesenchymal stem cell mitochondria is extracted from urine and used for improving the quality of oocytes, and the transplantation method comprises the steps that in the single sperm microinjection period in oocytoplasm, the single sperm is inoculated into the oocytoplasm; the sperms and mitochondria of the urine-derived mesenchymal stem cells are jointly injected into mature oocytes, and blastocyst culture is carried out. The method has the beneficial effects that the fertilization rate and embryo quality of human in-vitro fertilization are obviously improved by combining the transplantation of the mitochondria of the urine-derived mesenchymal stem cells in the traditional ICSI period, and the method can be used for in-vitro fertilization of infertility patients with low prognosis and has a better treatment effect. The problem of source of autologous mitochondria in the prior art is solved, and introduction of third-party genetic materials and ethics are not involved; the transplantation method is easy to operate, high in feasibility and capable of being used for autologous noninvasive treatment.

The invention belongs to the technical field of aviation, and particularly relates to a high-determinacy data structure design method of an airborne dynamic electronic fence. The method comprises thefollowing steps: 1) modeling the electronic fence by using a two-way linked list data structure, solving the problem of algorithm heterogeneity of different types of electronic fences, and reducing the modeling complexity; and 2) a linked list being used for designing dynamic route planning, the data processing efficiency being improved, and the contradiction between dynamic address allocation ofthe linked list and airborne fixed addressing being solved by setting a buffer area in advance. The technology is already used on a certain type of unmanned aerial vehicle, design and implementation of electronic fence modeling and dynamic airway planning functions can be effectively supported, meanwhile, the code quantity is greatly reduced, and the operation efficiency is remarkably improved. Simulation calculation, virtual flight and on-board loop tests prove that the technology can ensure normal and efficient operation of the electronic fence function of the unmanned aerial vehicle.

The invention discloses a multi-center collaborative cancer prognosis prediction system based on multi-source transfer learning. The system includes a model parameter setting module, a data screening module and a multi-source transfer learning module; the model parameter setting module is responsible for setting cancer prognosis prediction model parameters; The data screening module is arranged in the clinical center, and the management center transmits the set model parameters to each clinical center, and each clinical center queries the sample characteristics and prognostic index data from the local database according to the model parameters, and preprocesses the data; multi-source transfer learning The module includes source model training, transfer weight calculation and target model calculation unit. The invention uses multi-source transfer learning to solve the problem of data heterogeneity between the source center and the target center and the problem of insufficient label data of the target center, and builds a more accurate prediction model under the premise of considering the multi-center data heterogeneity. At the same time, during the model training process, the original data of each institution is complementary and shared to avoid leakage of patient privacy.

The invention provides lithium iron phosphate, a preparation method thereof and a lithium ion battery. The method comprises the following steps: mixing a soluble lithium source compound, a soluble ferrous source compound and water to obtain a first raw material solution; heating the first raw material solution to a predetermined temperature, mixing an aqueous solution of a soluble phosphorus source compound with the first raw material solution in a spraying manner in a first inert atmosphere and an acidic condition, and carrying out a first hydrothermal synthesis reaction to obtain a first hydrothermal synthesis product system containing lithium iron phosphate; and in a second inert atmosphere, the first hydrothermal synthesis product system and the raw material replenishing liquid are subjected to a second hydrothermal synthesis reaction, lithium iron phosphate is obtained, and the heating rate of the second hydrothermal synthesis reaction is lower than that of the aqueous solution of the soluble phosphorus source compound. By adopting the method, particle size distribution of large and small particle size grading can be formed, the compaction density is improved, and the problem that impure phases exist in large particles is also solved.

The invention relates to a method for monitoring operation of a satellite application system based on an Ajax and Web service technology, which comprises the following steps that: a state data submission interface is defined and issued as a Web service; a task running monitoring module and a system state monitoring module submits state information from a Web service client to a state data submission module; a state data submission module updates the state information into a local state data library and sends a state change notice to a state data maintenance module; the state data maintenance module updates a state point identity of the state information, responds to a state information request from the client and delays the return of the state information when the state information is submitted or the time is out; and a page of the client asynchronously acquires the state information through an Ajax client and updates the state value and the state point identity of a local page. The invention is applied to the task running monitoring and system state monitoring of the satellite ground application system, and solves the problems that the repeated information consumes network resources, the page can not be automatically synchronized with the server, the system is of high coupling and low flexibility, and the like.