127results about How to "Solve the singularity" patented technology

The invention discloses a video recommendation method and device. The video recommendation method disclosed by the invention comprises the following steps: according to historical recorded information of videos watched by users, obtaining initial user preference parameters and a plurality of to-be-recommended videos sequenced according to the recommendation level; according to the recommendation level, selecting the first to-be-recommended video from the current to-be-recommended videos and writing the first to-be-recommended video in a recommendation list; according to a feature vector and the user preference parameters of the first to-be-recommended video, obtaining user preference satisfaction degrees by calculation; correcting the user preference parameters according to the user preference satisfaction degrees, and re-sequencing the to-be-recommended videos which are not written in the recommendation list according to the corrected user preference parameters; recommending the to-be-recommended videos in the recommendation list to users according to the sequence of the to-be-recommended videos written in the recommendation list. According to the method and the device, the user preference parameters are dynamically corrected according to the user preference satisfaction degrees calculated in real time; the singularity problem of the video recommendation is solved.

The invention discloses a tunnel heading-along earthquake advanced detection device taking a heading machine as an earthquake focus and a method thereof. The device comprises an earthquake detector, an earthquake focus signal receiving sensor and an earthquake wave receiving detector array, wherein the earthquake focus signal receiving sensor is arranged on the arm of the heading machine; and the earthquake wave receiving detector array is arranged on a tunnel wall. The method comprises the following steps of: continuously acquiring earthquake wave signals through a three-component sensor which is coupled on the arm of the heading machine and a three-component sensor array which is arranged on tunnel surrounding rock by taking vibration generated by cutting rock with a cutting head during working of the heading machine as a hypocenter; and recording the acquired signals for processing, and forecasting the position and structural detail of a geological anomalous body in front of a tunnel by analyzing received wave field imaging geometrical characteristics. Due to the adoption of the device and the method, the problem of oneness of an earthquake wave field of a pure explosive source in near flat ground layer tunnel advanced detection can be solved without influencing the tunnel heading work; the device has high working efficiency and high detection accuracy, and is free from safety risks; and accurate positioning of a geometrical anomalous body can be realized.

The invention discloses a control method for a robot automatic spraying system. The control method of the robot automatic spraying system comprises the following steps of (1) acquiring feature data of a workpiece to be sprayed; (2) processing acquired data by using an image processing system; (3) automatically generating a track; (4) simulating; (5) controlling a user interface; (6) determining a spraying parameter; and (7) performing spraying. The control method of the robot automatic spraying system has the advantages of high automation degree, high machining precision, wide application range and the like. Different workpiece spraying tracks can be generated automatically, the operation difficulty of a user is reduced, the traditional manual programming on single different-model workpieces to be sprayed is replaced, consumed time on spraying is shortened, and the production efficiency is improved.

The invention relates to an intelligent optimization algorithm based cloud manufacturing computing resource reconfigurable collocation method, in particular to a method for modifying relevant collocation attributes and algorithms online according to different collocation conditions on the basis of multiple intelligent optimization algorithms, which aims to realize flexible, extendible and efficient policy solution of massive computing resource collocation in the cloud manufacturing mode and flexible disintegration, integration and reconfiguration of model demands, input / output and policy operators in a modularization and servicisation manner, and solves the bottleneck problems of singleness and non-portability and the like caused by regular constraint, fixed models and regular algorithms in computing resource collocation. The intelligent optimization algorithm based cloud manufacturing computing resource reconfigurable collocation method has the following advantages that separation of collocation models and algorithms for the computing resources is realized, modularization reconfiguration inside the models and the algorithms is supported, integration is efficient, levels are clear and extendibility is high.

The invention relates to a fully-automatic multi-functional multi-mode integral bag making machine which integrates centralized sealing, three-side sealing, four-side sealing, bottom adding, folding and self set-up, and zippers, and manufactures packaging bags with a plurality of functions and in a plurality of modes fully automatically. The fully-automatic multi-functional multi-mode integral bag making machine comprises a non-stop film connecting unreeling device, a splitting and folding forming frame device, a self set-up device, a front longitudinal sealing machine body device, a middle machine body device and a rear machine body device; and the devices are sequentially connected in order. According to the fully-automatic multi-functional multi-mode integral bag making machine, all functions of existing various automatic bag making machines can be realized, the price is relatively lower, the integration is high, manpower, equipment, power and oil are saved, the efficiency is high, and the bag making machine has higher practicality.

The invention discloses a plastic surface local electroplating method which is used for locally electroplating accessories in the industries such as bathroom, electronics, automobiles, household appliances. The method comprises the following steps: putting a plastic base material to physical vapour deposition vacuum equipment to be vacuumized, carrying out plasma cleaning and activation on the plastic base material when vacuum degree reaches 10-2Pa, depositing a metal conducting layer in vacuum on the surface of the plastic base material which is activated, performing precise laser etching to remove local conducting layer from the plastic base material which is electroplated with the metal conducting layer, obtaining a required pattern, and performing electroplating or electroplating after-treatment to the plastic base material which is etched by laser. By the method, a high pollution plastic electroplating pre-treatment process is replaced by the physical vapour deposition for depositing the metal conducting layer, so that the wastewater discharge and environment pollution are largely reduced; and in addition, partial electroplated conducting film layer is removed through the laser etching, the plastic in the area is not conductive, and the purpose of selective metallization is reached.

The invention provides a vehicle character recognition method based on a CNN convolutional neural network, and the method comprises the following steps: S1, building an HAAR cascade classifier, locking the position of a license plate according to the HAAR cascade classifier, and extracting an image of the license plate; S2, carrying out gray scale transformation on the image of the license plate to form a gray scale image; S3, performing image binarization operation on the grayscale image; S4, after the gray scale image is binarized, performing image corrosion and image expansion operation toobtain a final image; and S5, finding the information of the characters in the license plate by the final image through the minimum image contour, transmitting the characters into the established CNN,and carrying out recognition operation on the characters to finally obtain the license plate information. The efficiency of character detection is improved, and the license plate recognition time isshortened.

The invention discloses a multi-parameter sleep monitoring and intelligent diagnosis system based on a 4G mobile communication technology and an application method of the multi-parameter sleep monitoring and intelligent diagnosis system. The multi-parameter sleep monitoring and intelligent diagnosis system at least comprises a sensing part, a receiving part and a remote-end analysis processing part; the sensing part comprises a plurality of small-sized physiological parameter sensing chips as well as an external circuit connecting terminal, a signal transmitting terminal, a control circuit and a micro power supply; the receiving part comprises a signal receiving terminal, a storage device and a signal transmitting terminal; the remote-end analysis processing part at least comprises an integration and amplification circuit, a differential sampling circuit, a band-pass filter circuit, a detection circuit, an A / D (analog / digital) conversion circuit and a display device. The multi-parameter sleep monitoring and intelligent diagnosis system is simple in structure and easy to wear, capable of realizing the real-time monitoring, transmission and analysis of multiple parameters of a human body such as electroencephalogram, electrocardio, blood oxygen saturation degree, myoelectricity, eye movement and the like, suitable for being used in household, capable of alleviating the psychological and physiological burden of the monitored and high in reliability.

The invention discloses a multifunctional detachable yacht of diving and sightseeing. A lower part of the yacht on water is provided with a rise-and-fall underwater sightseeing cabin; both ends of the underwater sightseeing cabin are provided with air circulation tubes; the middle of the air circulation tubes are provided with a rise-and-fall elevator; the circumference of the underwater sightseeing cabin is provided with a meshy diving chamber which is integrated into a whole with the underwater sightseeing cabin via a rise-and-fall positioning rod; a center on the bottom of the yacht on water is provided with a flute; the underwater sightseeing cabin is hung on a yacht lifting device; when a preset limitation is reached, the underwater sightseeing cabin and the meshy diving chamber are reset synchronously inside the flute. The invention solves the complication of the underwater sightseeing facility and the uncertainty of the safety terminal technique and gets rid of the dependency on high required technical facilities. The simple and scientific structure design guarantees safety and is easy for management and control. The multifunctional detachable yacht of diving and sightseeing has the advantages of low manufacture and operating cost and safe and comfortable riding.

The invention discloses an anti-radiation field effect transistor, a CMOS integrated circuit and a preparation method thereof, wherein an N-type field effect transistor is provided with an n+ epitaxial layer between a substrate and a body area; a channel is a p / p+ inverse doped structural layer; a source and a drain are isolated from the body area through an L-shaped insulating layer respectively; the distance from the top surface of the L-shaped insulating layer to the upper surface of the channel is smaller than the thickness of the channel; the corresponding n+ epitaxial layer is changed into a p+ epitaxial layer; and the p / p+ inverse doped structural layer is changed into an n / n+ inverse doped structural layer so as to form a P-type field effect transistor. The transistor not only resists single-particle effects, but also resists total-dose effects. The CMOS integrated circuit formed can fundamentally solve the singleness problem of anti-radiation effects. In addition, the transistor can be prepared based on a bulk-silicon substrate and does not need SOI substrates, thereby having the advantages of reduced cost, simple preparation method, compatibility with conventional CMOS processes and good controllability.

The invention discloses a double-sideband distributed type optical fiber sensing system parameter measuring device. The double-sideband distributed type optical fiber sensing system parameter measuring device comprises a distributed type optical fiber sensing system based on a Brilouin optical time domain analysis (BOTDA) technology, a light orthogonal frequency division multiplexing (OFDM) signal producing module, an OFDM detecting module and a signal processing module, wherein the distributed type optical fiber sensing system comprises a first laser device, a second laser device, a first optical coupler, a first electro-optic modulator, a second electro-optic modulator, a first amplifier, a second amplifier, a pulse / random sequence generator, a circulator and a single mode optical fiber which is taken as a sensing optical fiber, and the light OFDM signal producing module comprises an OFDM signal generator, a digital-analog conversion module and a drive module. The double-sideband distributed type optical fiber sensing system parameter measuring device can improve measuring time and measuring precision, expand a measured dynamic range, and improve the reliability and the real-time performance of the distributed type optical fiber sensing system, and is suitable for long distance distributed type optical fiber sensing system parameter measurement.

The invention provides a terminal, an ultrasonic fingerprint unlocking method and an unlocking device. A touch display screen of the terminal and a terminal shell define a containing part. An ultrasonic fingerprint sensor is arranged in the portion, at the inner side of a fingerprint recognition part on the lower portion of the touch display screen, of the containing part. A first distance sensor is arranged in the portion, on the upper portion of the touch display screen, of the containing part. The terminal comprises a second distance sensor, wherein the second distance sensor is close to the ultrasonic fingerprint sensor, arranged in the portion, on the lower portion of the touch display screen, of the containing part and used for performing fingerprint recognition on a shelter within a preset distance range of the fingerprint recognition part. Through the technical scheme, the security and reliability of fingerprint recognition are improved, and power consumption of the terminal is lowered.

The invention relates to a self-standing device for a full-automatic multifunctional multi-system integrated bag-making machine, which comprises an outer frame device, an additional bottom self-standing forming device, a folded bottom self-standing forming device and a motor dragging device. The outer frame device, the additional bottom self-standing forming device, the folded bottom self-standing forming device and the motor dragging device are organically combined with one another, thereby finishing processing a middle sealed bag, a three-side sealed bag, a four-side sealed bag, an additional-bottom folded-bottom self-standing bag, a zipper bag, and the like, by one machine. The self-standing device provided by the invention has the advantages of capability of continuous construction, smooth film spreading, high efficiency and low cost, thereby being a novel design with high integration and progressive and being suitable for wide application in industry.

The embodiment of the invention discloses a navigation method and device. The method includes the steps that walking navigation information determined by map application according to a departure place and a destination input by a user is obtained; vehicle stations are recommended for the user according to the walking navigation information. According to the technical scheme, more trip selections can be provided for the user by combining walking navigation and vehicle station pushed information, the user can change the trip mode flexibly, the unicity problem of walking navigation is solved, and the function of walking navigation can be further added and is more diversified.

The invention provides a stress monitoring method of a distributed optical fiber system. The method comprises the following steps of: dividing laser into two laser beams, modulating one laser beam with pulse or a random sequence signal into pulse light, and amplifying the pulse light; modulating the other laser beam and an OFDM (orthogonal frequency division multiplexing) signal into a light OFDM signal, and amplifying the light ODFM signal; taking the amplified pulse light as pump light, and the amplified light OFDM signal is taken as detection light; performing Brillouin gain on the two kinds of light in a single mode optical fiber; performing photovoltaic conversion on the pump light and the detection light after subjected to Brillouin gain so as to obtain an OFDM electrical signal; performing channel estimation on the OFDM electrical signal so as to obtain Brillouin frequency shift of each sub-carrier; and acquiring the stress value of each point distributed along an optical fiber axial direction according to the Brillouin frequency shift of each sub-carrier. By the method, the measuring time and precision can be improved; the dynamic range can be greatly improved; the stress monitoring can be performed on power grid system equipment in real time; and the reliability and instantaneity of a distributed sensing system can be improved.

The invention discloses an efficient ecological organic phosphatic fertilizer and a preparation method thereof, and relates to the technical field of biological fertilizer production. The efficient ecological organic phosphatic fertilizer is prepared from the following raw materials in parts by mass: 4-20 parts of soybean residue, 10-20 parts of dove excrement, 5-8 parts of rice bran, 15-20 parts of strains of propagation, 40-60 parts of ground phosphate rock, 10-15 parts of bone powder, 8-12 parts of biogas residue and 8-15 parts of peanut shell powder. The preparation method comprises the following steps: 1, preparing materials; (2) adjusting the humidity; (3) sterilizing; (4) inoculating; (5) fermenting primarily; and (6) fermenting secondarily. The efficient ecological organic phosphatic fertilizer and the preparation method thereof have the characteristics that resource waste and environment pollution can be prevented effectively, and the local organic waste and pollutants of cultivation can be fully utilized; the produced fertilizer not only can supply phosphorus, but also can provide organic nitrogen, phosphorous and potassium elements and soil fertility, and can be applied to treating various organic waste and pollutants of cultivation; the produced efficient ecological organic phosphatic fertilizer can be used as a basic fertilizer for plantation of crops such as green seedlings, vegetables, fruit trees and the like.

The invention discloses a named entity recognition method based on rules and an improved pre-training model. According to the method, on the basis of BERT pre-training, field data which are the same as downstream tasks are added to continue pre-training, and then fine adjustment is carried out on named entity recognition tasks; meanwhile, considering that part-of-speech can express attribute information of important words, additional feature information is added in the internal structure of the BERT model to enhance the recognition performance of the system; in the aspect of deep learning model construction, a convolutional neural network and a bidirectional recurrent neural network are integrated to carry out sentence-level feature extraction on a text, finally, an entity result recognized by the model is corrected in combination with rules, whether the entity length is smaller than a certain value or not is judged, and if the front is adjectives, a new entity is spliced to serve as the final entity word; according to the method, the named entity recognition accuracy can be improved, proper nouns in the textile fabric field can be effectively extracted, and compared with an existing method, the accuracy, the recall rate and the F1 value are greatly improved.

The invention discloses an all-directional movable double-arm robot. The all-directional movable double-arm robot comprises a vehicle body, a rotary hoisting platform, a laser radar, a first mechanical arm, a second mechanical arm, a camera, a plurality of ultrasonic sensor modules, a power supply system, an embedded host and an industrial control host, wherein the rotary hoisting platform can berotatably mounted on a top surface of the vehicle body; the laser radar can be rotatably mounted at the top end of the rotary hoisting platform; and the first mechanical arm and the second mechanicalarm can be mounted on the rotary hoisting platform in an up-down movement manner. The all-directional movable double-arm robot disclosed by the invention has the beneficial effects that the robot hastwo rotating degrees of freedom and vertical degrees of freedom, so that an operation space of an all-directional movable robot can be greatly improved and a working blind region is reduced; more complicated working tasks can be carried out through the cooperation of double arms; the navigation and positioning precision is improved and the reliability and robustness of a navigation system are improved; and the obstacle-avoiding performance of the system is improved.

The method includes steps: setting up indication information to be provided for calling party at called party side; in handshaking procedure and before responding from called party, network side obtains indication information setup at called party side, and sends it to the calling party. Correspondingly, the invention also discloses a system for providing indication information to calling party from called party. Comparing with prior art, the invention makes called party possible to select content of indication information to be provided for calling user smartly.

The invention discloses an OpenPose-based cheating action auxiliary identification method and system. The method comprises the steps of obtaining real-time monitoring videos of examinees in an examination room by utilizing video monitoring; inputting the real-time monitoring video into an OpenPose system to obtain a real-time action skeleton sequence of the examinee, wherein the examinee real-timeaction skeleton sequence comprises examinee body articulation points and coordinates corresponding to the articulation points, and each joint point is provided with a unique number; calculating a real-time limb angle set sequence of the examinee according to the real-time action skeleton sequence of the examinee; according to the examinee real-time limb angle set sequence, calculating the probability of cheating behaviors of the examinee; and if the probability is greater than the set threshold, outputting a result of the cheating behavior.

The invention relates to a composite structure photonic crystal vibration isolation support. The photonic crystal vibration isolation support is mainly composed of a vibration input shaft sleeve, a vibration isolation lining, a supporting lining, a surface type local resonance type vibration isolation assembly, an embedded type local resonance type vibration isolation assembly, an outer sleeve, alimiting structure and a vibration isolation device base; the vibration input shaft sleeve is connected with the vibration isolation lining, the vibration isolation lining is connected with a bearingshaft sleeve, the bearing shaft sleeve is connected with the outer sleeve through the surface type local resonance type vibration isolation assembly and the embedded type local resonance type vibration isolation assembly, the outer sleeve and the base are connected, and the limiting structure and the base are connected into a whole. The composite structure photonic crystal vibration isolation support solves the problem that a passive type vibration isolation support is narrow in vibration isolation frequency range, single in vibration isolation direction and not obvious in vibration isolationeffect; the mechanism can effectively isolate vertical vibration, lateral vibration and torsional vibration, the limiting effect on large-amplitude vibration can be achieved, and the structure can beused as a vibration isolation device of equipment such as various mechanical devices and precise instruments.

The invention discloses a device and a method for self-adaptively detecting and adjusting optical axes of dual cameras. The device comprises a parallel light pipe, a distance measurement camera, two LED targets, a computer and dual six-axis precise adjustment units, wherein the distance measurement camera is arranged at a front end of the parallel light pipe; the two LED targets are arranged at the two sides of the parallel light pipe; camera modules are respectively clamped onto the six-axis precise adjustment units; the two camera modules simultaneously carry out imaging on star points in the parallel light pipe and on the two LED targets; the computer computes deviation angles of the optical axes of the two camera modules with a central axis of the parallel light pipe and a connecting line direction of the two LED targets, and adjusts so that the optical axes of the two camera modules are respectively parallel to the central axis of the parallel light pipe, and sensor pixel array directions are respectively parallel to the connecting line direction of the two LED targets; the distance measurement camera carries out the imaging on the two camera modules, and simultaneously adjusts positions of the two camera modules, so that a distance between the two camera modules is fixed; and at last, curing is carried out on the positions of the two camera modules. According to the device and the method disclosed by the invention, the active alignment of the dual camera modules can be realized, and the accuracy is higher.

The invention belongs to the technical field of new energy assessment, and particularly relates to a new energy enterprise value assessment model built based on an analytic hierarchy process. The assessment method of the new energy enterprise value assessment model comprises the steps that the analytic hierarchy process is utilized at first, the particularity of new energy enterprises is analyzed, and influences of financial and non-financial driving factors of the enterprises on the new energy enterprise value are quantized to be coefficients; then, the correction coefficients of a stock right free cash flow model are obtained on this basis, the corrected stock right free cash flow model is adopted for calculating the whole value of the new energy enterprises, and the assessment result is more scientific and practical. According to the new energy enterprise value assessment model built based on the analytic hierarchy process, a traditional enterprise value assessment method is inapplicable to value assessment for the new energy enterprises, various driving factors influencing the new energy enterprise value are analyzed in a more comprehensive level, and the assessment result can completely reflect the whole value of the new energy enterprises.

The invention discloses a height-adaptive material grabbing manipulator. The height-adaptive material grabbing manipulator comprises a Z-axis motion shaft and movable mechanical arms which are movably connected with the Z-axis motion shaft, wherein the Z-axis motion shaft is connected with a control system; height limiting plates are arranged above the mechanical arms respectively, and are arranged opposite to a height position sensor arranged on the Z-axis motion shaft; a sucking disk fixing plate, a vacuum sucking disk, and a two-position three-way valve, a spherical sealing device, a spring and a pressure sensor arranged on the sucking disk fixing plate are arranged at the lower end respectively; the vacuum sucking disk is connected with the two-position three-way valve; one end of the spring is connected with the spherical sealing device, and the other end of the spring is connected with the pressure sensor. Movement of objects grabbed by the mechanical arms in a large range can be realized through adjustment, so that the requirement of grabbing materials of different sizes is met; under the situation that hydraulic pressure or air pressure does not need to be loaded externally, materials can be placed at an appropriate position through the mechanical arm along with the continuous lowering of the material height in a feeding process through an adaptive way.

The invention provides a design method for assembling a meteorological satellite from top to bottom. The method includes the first step of carrying out functional description, conceptual design and structural decomposition on the meteorological satellite, determining the reference constraint and assembly relationship between structures of the meteorological satellite, scheming out required design parameters through the hierarchical design and the design that the top layer defines the overall situation, and outputting a layout design model, the second step of constructing a multi-framework model in hierarchical module units from top to bottom according to the layout design model, mapping the layout into the multi-framework model to achieve layout parameter-driven framework characteristics and outputting the multi-framework model, and the third step of carrying out detailed design on the solid characteristics of the module unit at the bottommost layer according to the multi-framework model, establishing specific engineering constraint and the like, carrying out engineering analysis on a detailed design model and outputting the detailed design model. Through the method, the limitation that the transfer path of the design parameters is single is overcome, the authority control of the design parameters is guaranteed, the high coupling performance between an upper-layer module and a lower-layer module is reduced, and reusing of the general module units is facilitated.

The invention discloses a multi-core mesh multi-level cross-domain access control method based on a cloud platform, which comprises building a cloud platform control model, addressing the complexitiesof multilevel cross-domain access and privilege management;anaccess control model is establish, abstraction operations are performed on the access control model; attribute mapping mechanism is established between multiple domains, providing a basis for interdomain interoperability;the concrete implementation method of access control model is designed; rules for multilevel cross-domain accessare established; managers are established;the establishment of cloud platform access control model provides some possibilities and approaches for multi-level and cross-domain access, cloud platforms are highly modifiable and scalable. The multi-level cross-domain access control model has good scalability and high flexibility. The multi-core mesh processing method is adopted to process the cross-domainaccess request, which improves the processing efficiency of the multi-level cross-domain access request.

The invention provides a teaching resource library cloud integrated system. The teaching resource library cloud integrated system comprises a simulated training platform device and a remote guidance device. The simulated training platform device is used for receiving a calling instruction and a control instruction sent by a teacher, searching for corresponding simulated training software according to calling parameters carried by the calling instruction, processing the simulated training software according to the control instruction and displaying a processing result. The remote guidance device is used for receiving a remote guidance establishment instruction sent by the teacher and establishing a remote teacher guidance room according to the establishment instruction; the remote guidance device is further used for receiving a remote guidance access instruction which carries guidance room authentication information and is sent by a student, and having access to the corresponding remote teacher guidance room according to the guidance room authentication information. By means of the system, the simulated training software platform can be provided for the teacher so that the teacher can teach with the simulated training software, remote guidance between the teacher and the student can also be established, the problem of simplicity of traditional teaching is solved, rich teaching resources are available, and conditions are provided for developing the creative thinking of the student and training the innovation ability of the student.

The invention relates to a saffron crocus corm propagation method. The method includes the steps that during the half month before or after entering winter, lateral buds are taken from corms, wounds of the lateral buds are soaked in a soak solution, the lateral buds are then inserted in wet soil with pest killed and with concomitant fertilizer and placed in a greenhouse to live and grow through winter for 4 to 5 months, and corms weighed 10 g to 15 g are selected and dug out to be stored in a shady, cool and dry place; during the half month before or after entering winter, the corms are placed in the greenhouse to live and grow through winter for 4 to 5 months, and corms weighed over 20 g are acquired. According to the saffron crocus lateral buds cultured through the method, leaves grow out of the lateral buds within less than a month, seed balls grow out after another month, saffron crocuses blossom after two-year cultivation, the saffron crocuses are not different from saffron crocuses propagated through the corms, waste use of the lateral buds is achieved, and planting cost is saved.

The invention discloses a polyphosphate-containing nitrogen-phosphorus compound fertilizer and a preparation method thereof. The preparation method of the polyphosphate-containing nitrogen-phosphoruscompound fertilizer includes the following steps: acidolysis treatment, freeze crystallization, sedimentation treatment, evaporation concentration, neutralization treatment and a polymerization reaction. According to the method provided by the invention, the process steps are simple and easy to control, middle-low-grade phosphorite can be directly used as a raw material, and the nitrogen-phosphorus composite material with a high phosphorus content, a high polyphosphate content and the content of water insoluble matter of less than or equal to 1.2 can be prepared.

The invention discloses an android smart phone based GPRS (general packet radio service) network centralized control five-prevention locking system. The system can well achieve real-time performance of a traditional off-line five-prevention locking system and solve the problems of inconvenience in installation and complexity of accessory mechanisms of an on-line five-prevention locking system. At present, a computer key is a part of a microcomputer five-prevention locking system produced by each company in a supporting manner, so that universality is poor. In addition, an original computer key operating screen is small, operation and communication modes are single, and intelligentization cannot be realized. However, an android smart phone is good in universality, and the system is open-source, easy for function extension, large in operation screen, high in operation smoothness, good in user experience and diversified in communication modes, can have a database function and the like besides, and is good in applicability and extensibility in general.