2044results about How to "Efficient" patented technology

The invention discloses a solar-air-geothermal multisource dual-machine heat pump heat supply and air conditioning composite system, relates to a heat supply, air conditioning and refrigerating composite system which takes solar energy, air and a ground source heat pump of a buried tube as cold and heat sources, and belongs to the technical field of building environment, equipment engineering and refrigeration engineering. The system comprises a solar thermal collector (1), the buried tube (3), a heat storage water tank (13), a heat storage / exchanger water tank (17), a control system, an end user (16) and the like. The invention provides a multisource dual-compressor heat pump system which takes the solar energy, geothermal energy and air as the cold and heat sources; and the system can supply heat in winter, refrigerate in summer and supply hot water for daily life all year round. Moreover, the overheat of the solar thermal collector in summer is avoided, so that the heat of the solar energy is stored in soil for use in the winter; and the system particularly has higher applicability in the area in which heat load in the winter is greater than cold load in summer.

The invention discloses an identity and access control and management system and method in a cloud environment. The system comprises an identity and access control and management system (IAM), a user terminal and an application server. For different application services, integrated identity authentication and unified user management follow an identity authentication and access control separation principle, and user identity and access control management is realized. On the respect of user identity information management, from generation to cancellation of the user identity, a registration service provides self-help service for the user; on the respect of user authentication, a double-factor authentication technology is used for realizing the bidirectional authentication of the user and an authentication server and issuing an authentication bill to realize one-time authentication and multi-time use; and on the respect of access control and management, the access authority of the user is managed based on a role access control strategy of a user group, and the server is authorized to issue an authorized bill to the user. By adopting the identity and access control and management system and method disclosed by the invention, the user is convenient to manage the identity information, multi-time authentication is avoided, the authentication security is enhanced, and the illegal access of unauthorized users is prevented.

The invention relates to a key escrow-free secure multi-keyword sorting and searching system. The system comprises a key generation center, a cloud server, a data owner and a data user; the key generation center is used for achieving interactive computing with the cloud server to jointly generate a public parameter of the system and a property public key-private key pair of the data user; the cloud server is used for storing a file of the data owner and responding to a searching query request of the data user; the data owner extracts a keyword set from the file, encrypts the keyword set into asecure index, encrypts the file, makes an access strategy and embeds the access strategy into ciphertext; and the data user defines the searched keyword set and generates a trap door by using the property private key of the data user to search for the encrypted file stored in the cloud server. According to the system, the key escrow problem is solved, flexible authorization keyword searching andfine-grained data access authorization are achieved, multi-keyword subset searching is supported, and the searching result is not influenced by changes of the keyword query order.

The invention discloses a machine vision-based real-time detection and grading method and a machine vision-based real-time detection and grading device for pork appearance quality. The device comprises a hardware part for pork image acquisition and a software part for grading, wherein the hardware part for image acquisition consists of a camera, a lens, a polarizer, a light source, a computer, and the like. The method comprises the following steps: acquiring a pork image; carrying out real-time image processing and characteristic extraction through grading software; acquiring characteristic information reflecting the pork appearance quality; and evaluating the pork quality through a forecasting model, completing the grade estimation of color, marble vein, the tenderness and the comprehensive quality of underback, and completing the grade estimation of muscle color, the fat and the comprehensive quality of marbled meat. The method and the device can make the pork quality detection have objectivity, accuracy and high efficiency, and are suitable for the pork quality evaluation carried out by supermarkets, local food inspection authorities and import and export food inspection departments so as to standardize the pork market and consequently truly realize the pricing by the quality.

The invention provides a weld method compounding an ultrasonic and a gas metal arc welding so as to make use of the cavitation effect and the vibration effect of the ultrasonic to lead welding drops generated by the gas metal arc welding to be smoothly transmitted to a welding pool when the drops are still small. And when in welding, an electric arc shrinks under the effect of the ultrasonic and then the stiffness of the electric arc can be enhanced, which has a significant application value for welding of special positions such as a full-position welding, an overhead position welding, a flat position welding and a horizontal position welding, etc.. The invention includes the following steps: an ultrasonic generator is connected with an ultrasonic transducer 2 to convert ultrasonic energy into mechanical vibration; an ultrasonic transformer 3 enlarges amplitude; a conductive tip 5 is combined with the ultrasonic transformer; a protective gas nozzle 4 is fixed on the vibration node of the transformer; a welding wire 1 is connected with the conductive tip 5 to start a welding power supply 9 and then start an ultrasonic power supply after the electric arc becomes stable, then the transducer converts electrical energy into vibration and the ultrasonic transformer enlarges the ultrasonic amplitude which is transmitted to a melting electrode.

The invention discloses a floating vehicle-based traceability vehicle self-networking communication privacy protection protocol, which is characterized in that a floating vehicle is used as a mobile RSU (Remote Subscriber Unit), a floating vehicle auxiliary grouping technology is adopted, the floating vehicle F adopts V2V communication, vehicles running in the same direction in an effective communication radius are united to spontaneously form a group, F is used as a group leader and is in charge of authorizing the validity of the vehicles and maintaining a group key and a specified group parameter; and F and all members respectively have a one-to-one secret channel negotiated by anonymous certificates issued by an authentication center (TA), the members sends messages to be broadcasted to the F by using the channels, the F is subjected to the message anonymilization and encrypted by using a group key-based symmetric encryption algorithm and then forwarded to other members or other groups, and when the messages are disputed, under the authorization of the TA, the real identity of the vehicle generating the messages can be accurately located.

The invention provides a microblog-oriented dynamic topic detecting and evolution tracking method and belongs to the technical field of intelligent information processing. The method includes the steps of 1, establishing a distributed crawler to acquire microblog data; 2, pre-processing the microblog data; 3, performing Chinese word segmentation to remove stop words, and acquiring a word set VOC; 4, subjecting the microblog data to LDA (latent Dirichlet allocation) clustering in each time interval so as to extract latent topics; 5, screening out microblog hot topics in each time interval; 6, subjecting the hot topics of a global time to hierarchical clustering to acquire inter-topic aggregation and differentiation relations; 7, visualizing a topic evolution process according to the inter-topic aggregation and differentiation relations. The method has the advantages such that topic word distribution of an event in different times and a fine-grained topic of a same topic in different times are mined under low time complexity, efficiency is high, and robustness is high; the method has greater practical value.

The invention relates to a liquid compound biological fertilizer with long shelf life as well as a preparation method and application thereof. The liquid compound biological bacterial fertilizer comprises the following components in parts by weight: 2-5 parts of microbial thalli, 80-130 parts of compound nutrients, 10-30 parts of thalli protective agents and 0.5-3.0 parts of additives, wherein the microbial thalli is metered in terms of the wet weight of deposition obtained after fermentation liquor is centrifugalized, the microbial thalli include bacillus thuringiensis, bacillus megaterium, bacillus mucilaginosus and bacillus amyloliquefaciens, and the total viable count achieves 5*10<8>-5*10<9> / mL. The liquid compound biological bacterial fertilizer disclosed by the invention can be used as a biological pesticide, can be directly applied to the spraying of plant surfaces or applied to seed soaking, root irrigation, and the like, has the effects of insect resistance, phosphate solubilization, potassium solubilization, organic matter solubilization, pest resistance, and the like and is long in shelf life.

The invention provides a satellite-borne multichannel aerial SAR data channel magnitude-phase error correction platform, wherein, ratio results of magnitude-phase characteristics of other channels and a magnitude-phase characteristic of a selected standard channel can be obtained after selection of the magnitude-phase characteristic of the channel as criterion and complex division operation of the magnitude-phase characteristics of the other channels and the magnitude-phase characteristic. When actual data is processed, that the magnitude-phase characteristics of the other channels except the standard channel is divided by the corresponding ratio results is only needed, thereby errors which are led in by a signal generator are avoided; in addition, though the magnitude-phase characteristic of the selected standard channel is not completely ideal, occurrence of false targets in the azimuth direction can be effectively prevented and an ideal azimuth direction image performance index can be obtained due to the fact that data of each channel is provided with the same magnitude-phase characteristics after magnitude-phase error correction. Simultaneously, error compensation effects are evaluated and adjusted by self adaptive means from the imaging angle, thereby satisfactory compensation effects are obtained.

The invention provides a mehtod for recovering waste heat of steel slag and comprehensively processing and using the steel slag, and belongs to the technical field of steel slag treatment. The method comprises the following steps: a thermal state steel slag material discharging system discharges steel slag into a thermal state steel slag material receiving system for primary crushing; the crushed steel slag is subjected to secondary crushing by a thermal state steel slag velocity control system and quantificationally fed into a thermal state steel slag cooling granulating system for re-crushing and cooling, high-temperaure hot air generatd in the cooling process is collected by a thermal state steel slag waste heat recovery system and enters a heat exchange system to form vapor for power generation or heat supply; the cooled steel slag enters a steel slag stabilizing treatment system, and the steel slag after the stabilizing treatment is treated by a steel slag separation system to obtain steel slag tailing micropowder and metal slag steel respectively; and, the steel slag micropowder is mixed with other materials and used to prepare concrete products by a steel slag concrete product processing preparation system. The method has the advantages of adaptability to various types of steel slag to be processed, good operational environment and no secondary pollution.

The invention discloses a method and a device for automatically detecting network weak coverage. The method comprise the steps that a survey report reported by a terminal to a base station is obtained, and received power of the terminal is analyzed from the survey report; the distance between the terminal and the corresponding base station is calculated according to the analyzed received powder of the terminal; the terminal received power on the distance between the base station and the terminal in an angle direction is calculated according to a preset angle step value within a set angle range by using a direction angle direction of an antenna of the base station as a start; and position coordinates of the terminal are located according to the calculated terminal received power and the received power analyzed from the survey report; and a network weak coverage detection result is obtained and output according to the position coordinates of the terminal.

The invention relates to a method which can automatically analyze the propagation process of an internet hot subject, as well as a system thereof, and belongs to the intelligent information processing technology. As the textual information on the internet gradually increases, an important subject in the text mining and information retrieval field is to automatically detect and analyze the hot or sensitive subject from large text database, the subject has great use value. The invention utilizes the natural language processing approach to automatically analyze the propagation process of the text document in the given hot or sensitive subject; after the text documents in the subject are arranged in a time order, the reference origin of the current text document is searched by utilizing the pattern matching method from the first text document, if the reference origin isn't found, the reference origin is further judged by utilizing the text document similarity comparative method, at the same time, the corresponding source text document is obtained. At last, the reference relation is intuitively presented to the user in a graphic mode. The method is widely applicable to internet intelligent information processing, public opinion analyzing and monitoring, etc.

The invention relates to a traffic signal coordination control optimization method for an emergency rescue vehicle driving path. The method comprises emergency rescue prioritization, path type classification, signal priority control, signal coordination control, and a bi-level programming model; relevant coordination control research on paths is conducted; first, emergency rescue characteristics and objects are analyzed, research on upper level dynamic phase difference and lower layer path green wave coordination in different path forms is conducted, and relevant case analysis and verificationare performed. The method disclosed in the invention is characterized by real time performance, traffic signal coordination priority control over an emergency rescue path can be exerted based on timewhen an emergency rescue team reaches a crossroad and real time vehicle load information of general vehicles, emergency rescue response time can be shortened, and casualties and property loss can beeffectively reduced.

The invention discloses an unmanned aerial vehicle pseudo path planning method based on deep reinforcement learning, which comprises the steps of: dividing boundary coordinates of a no-fly area on a flight map and marking a start coordinate position and an end coordinate position of a flight task of an unmanned aerial vehicle; sensing the current environment state of the unmanned aerial vehicle before executing the flight task, and selecting a deflection angle and a flight action in the current environment according to an obtained Q function value by using a deep reinforcement learning algorithm; updating a Q function by the unmanned aerial vehicle according to reward return obtained by interaction between flight position data and the environment, wherein the flight position data is continuously received by the unmanned aerial vehicle in the flight process and is provided by ground base station transmitting equipment; judging whether the unmanned aerial vehicle flies according to a preset air route by using the no-fly area as a virtual barrier in the flight process; and if the unmanned aerial vehicle approaches the edge of the no-fly area, guiding the unmanned aerial vehicle to plan a pseudo navigation path through a reward function so as to avoid the no-fly area. The unmanned aerial vehicle pseudo path planning method of the invention realizes the pseudo path planning of the unmanned aerial vehicle in an unknown environment, and improves the intelligence and the safety of the flight of the unmanned aerial vehicle.

The litigation cost management system (FIG. 1) provides modules for outlining the process of litigation (12), establishing pricing variables to each step of the litigation (14), all at the outset of the case. A case budget (16) is then generated and the case is managed by outside counsel based upon the agreed upon budget and process. When exceptions occur during the course of litigation, outside counsel electronically submits requests for new work to corporate counsel, which in turn can be approved or denied. Point and click billing allows immediate simplistic invoicing which requires no review by corporate counsel as the work performed has already been approved. Statistical reporting provides corporate counsel with real time analysis of all the cases that are in the system.

The invention discloses a preparation method of an environment-friendly, antisepsis and deodorant fabric product and comprises following steps: (1) a fabric material or a fabric product is soaked and processed in a tea polyphenol solution with the concentration of 0.05 to 0.5 percent by weight for 30 to 90 minutes, the weight ratio of the fabric material or the fabric product to the tea polyphenol solution is between 1 : 10 to 50, and the soaking temperature is 40 to 60 DEG C; (2) a metallic ion solution that is equimolar with the tea polyphenol is added, and the fabric material or the fabric product is soaked and processed for 60 minutes, water rinsed, and then parched or dried. The preparation method of the environment-friendly, antisepsis and deodorant fabric product is applicable to various fibers such as multiple kinds of natural fibers like cotton hemp, wool and dacron, and synthesized chemical fibers. The preparation method can be adopted to produce various antisepsis and deodorant garment materials, home-textile materials (such as bedding fabrics, decorative sofa materials and carpets), socks and foot pads. The antisepsis and deodorant fabric of the invention is characterized by environmental protection, high efficiency and wash resistance, etc., and the preparation method thereof is characterized by simple technique and low processing cost, etc.

The invention provides a check matrix based erasure code decoding method which is applicable to optional erasure codes on the basis of exclusive or operation. Decoding efficiency is greatly improved by decoding the check matrix. In addition, through an iterative algorithm for structuring a sparse check matrix, decoding efficiency can be further improved. Compared with two conventional implementation methods, the check matrix based erasure code decoding method has the advantages of universality and high efficiency.

The invention discloses an intelligent screening system based on the numerical control processing technology for difficult-to-machine metal, which comprises the following subsystems: a parameter database subsystem, a fixed data source subsystem, an online detection and feedback subsystem, a technology intelligent comprehensive screening optimized scheme system, a data mining and supplementing subsystem, a simulation verification subsystem and an application operating system. The system has the characteristic of recognizing the reasonableness, the advancement and the high efficiency property of each technology scheme in the database, and is used for collecting the processing information of difficult-to-machine metal materials, the machine tool and cutter selection experience and cutting technological parameters accumulated in production practices and experiments. The roughness test data of the optimized cutting technological parameters is selected for processing, so that a reasonable and mature technological scheme is recommended for manufacturing enterprises, and the numerical control processing precision of the difficult-to-machine metal materials is controlled. The purposes of increasing the processing efficiency of the difficult-to-machine materials, reducing processing cost and acquiring high quality products are achieved.

The invention provides a method for calculating harmonic wave impedance of an alternating current system for direct current transmission. The method includes the following steps that a node admittance matrix is formed according to a harmonic wave model of a transmission line, a transformer, a generator, a load and a parallel capacitor; nodes to be calculated are placed at the bottom line of the admittance matrix, the current value at the bottom line is set to be 1, and the current values at other lines are set to be 0; node optimizing numbering is conducted on the first n-1 nodes; the node admittance matrix is stored through a sparse technology; the node admittance matrix is solved, and the back substitution does not need to be conducted; a plurality of input files are simultaneously calculated through a parallel calculation method; statistic analysis is conducted according to the batch processing calculation result. According to the method, specific to the characteristic that multiple times of scanning needs to be conducted for calculating the harmonic wave impedance, the improved node optimizing numbering technology and the improved sparse technology are adopted, and therefore the workload for calculating the harmonic wave impedance is reduced, the calculating speed is greatly increased, burdens of operators are relieved, and precious time can be saved.

A heat management system is capable of managing unlimited hydronic heat sources and unlimited heating zones, each located within a desired area and each controlled by temperature sensors. The system uses plural system heating sources to heat a heating solution (preferable glycol-based) that is either heated directly or through a liquid-to-liquid heat exchanger. The heating solution is passed through various plumbing configurations to heat domestic water for users and to heat zones or areas in which user will live. The heat management system of the invention may be used for several applications including RV, marine and home hot water and heating applications.

The invention discloses a large-scale operation workshop scheduling method based on bottleneck equipment decomposition. The large-scale operation workshop scheduling method based on the bottleneck equipment decomposition comprises the following steps of (1) acquiring data and modeling; (2) carrying out recognition on bottleneck equipment based on a key path method; (3) sorting and encoding the bottleneck equipment and non-bottleneck equipment; (4) generating an initial chromosome population; (5) carrying out cross and mutation operations on the chromosome population; (6) inoculating an immune operator to the chromosome population; (7) carrying out decoding and fitness value calculation operations on chromosomes; (8) updating an optimal chromosome and an optimal fitness value of an algorithm; (9) judging whether a method ending rule is achieved or not, starting a step (10) if the method ending rule is achieved, and otherwise, jumping to the step (5) to carry out the next iteration; (10) finding out the optimal chromosome from the step (9) to decode, and obtaining a scheduling command to schedule. According to the large-scale operation workshop scheduling method based on the bottleneck equipment decomposition, which is disclosed by the invention, a satisfactory scheduling scheme can be obtained in a shorter time, the production efficiency of an operation workshop can be improved, and the large-scale operation workshop scheduling method based on the bottleneck equipment decomposition can be applied to scheduling management and optimization of the production process of the workshop.

The invention discloses a road traffic network emergency evacuation route generation method based on the Internet of vehicles. The method involves a vehicle-mounted device, a roadside device, a network background server device and a vehicle emergency evacuation route decision making model. A wireless data communication module of the vehicle-mounted device broadcasts vehicle information to the roadside device through a wireless network, the roadside device performs statistics on the vehicle information of the road section and the local road network region, and the vehicle information is transmitted to the network background server in a wired data communication mode; a multi-target vehicle emergency evacuation route optimal decision making model is established and resolved by a vehicle emergency evacuation route planning module of the network background server with the minimum evacuation total travel distance, the minimum evacuation travel time and the minimum road section congestion probability as the targets, and an optimal route is obtained to guide vehicles in a dangerous region to be evacuated to a safe region. The road traffic network emergency evacuation route generation method based on the Internet of vehicles has the advantage that a real-time, safe, reliable and efficient emergency evacuation route can be provided for vehicles in the road traffic network.

The invention belongs to the technical field of firefighting infrared detection, in particular a helmet type infrared detection and image transmission processing system. The system mainly comprises a front-end transmission system, a background command system and a relay system which transmit corresponding signals through radio waves. The front-end system integrated on equipment of a fire fighter acquires information in a fire, and transmits the information to the relay system and the background command system through the radio waves; and the background command system analyzes corresponding information to provide intuitive fire date and facilitate rescue deployment. The system has the characteristics of small volume, light weight, convenient carrying and the like, realizes functions of discovering rescue targets on the fire scene, acquisition and radio transmission of audio, video and data, image processing, intelligent analysis, real-time display and the like, accords with the development tendency of light, intelligent, high-efficiency and integrated firefighting equipment, and meets actual firefighting requirement and firefighting army assaulting requirement.

The invention relates to a high-performance conductive silver paste, which is characterized by comprising the following raw materials in percentage by weight: 65-80% of micron-sized metal silver powder, 10-20% of epoxy resin, 1.4-3.5% of curing agent, 6-9% of solvent, 0.5-1.2% of accelerator, 0.05-0.1% of flexibilizer and 1-2% of additive. The invention also discloses a preparation method of the high-performance conductive silver paste. The conductive silver paste of the invention has high conductivity, very high thermal conductivity, high working temperature, strong viscosity and very high shear strength, and the performance indexes are apparently higher than the working performance of the conductive silver paste in the prior art, thereby solving the technical problems of poor shear performance, low working temperature, poorer thermal conductivity, long curing time, high curing temperature, poor viscosity, easy pollution of environment and the like in the field of the conductive silver paste in the prior art.

The invention discloses an opinion mining method for ten-million-scale news comments. The opinion mining method comprises the following specific steps of firstly, counting the quantity of the ten-million-scale news comments; secondly, judging whether the quantity is greater or equal to a threshold K or not, if yes, discarding the processing, and otherwise, turning into the third step; thirdly, performing word segmentation on news headlines and comments of which the quantity is smaller than the threshold K by using a Chinese word segmentation tool and tagging part-of-speech; fourthly, clustering the news comments according to the work segmentation results to obtain category labels; fifthly, performing keyword pair extraction on the news comments; sixthly, counting the proportion and the complexity of the news comments; seventhly, screening and extracting representative texts according to the keyword pairs. According to the opinion mining method disclosed by the invention, by the use of the Chinese word segmentation tool, the considering of the usage and the matching relationship of Chinese language and the combination of the action of the news headings, the ten-million-scale news comments are processed; the opinion mining method has the advantages of high efficiency, robustness, usability and the like.

The embodiment of the invention discloses a method for transferring micro LEDs and a display panel. The transfer method includes providing a plurality of intermediate transfer plates provided with micro LED receiving groove arrays; arranging a plurality of micro LEDs in a plurality of micro LED receiving grooves in the micro LED receiving groove arrays to form a micro LED array; providing a circuit motherboard provided with at least one micro LED bonding point array, wherein the micro LED receiving grooves of at least two spliced intermediate transfer plates correspond to the micro LED bondingpoints on the circuit motherboard one to one; successively transferring the micro LED arrays on the at least two intermediate transfer plates to a corresponding region of the micro LED bonding pointarray of the circuit motherboard. The method successively transfers the micro LEDs in batches, and shortens the transfer time and improves the transfer efficiency of the micro LEDs that a method of successively transferring single or a small number of micro LEDs.

The invention discloses an experimental teaching platform based on intelligent home sensing and control, and belongs to the field of teaching. The experimental teaching platform disclosed by the invention is constructed in a live-action sand table model, comprises a sensing and control module, an intelligent gateway, a cloud platform server and a user terminal module, and is matched with an experiment manual. The sensing and control module is connected with the cloud platform server by the intelligent gateway and transmits acquired environment information data to the cloud platform server or alocal area network via a router so as to implement real-time transmission of the data. The cloud platform server is connected with the user terminal module by the Internet, the environment information data in an experiment can be viewed in real time and equipment can be controlled to carry out actuation. The invention aims to solve the problem of providing the experimental teaching platform basedon intelligent home sensing and control, which has the following advantages that: (1) terminal control modes are diverse and flexible; (2) a controller is high in efficiency; and (3) an experiment system is extensible externally. The experimental teaching platform is applicable to experimental teaching of IoT (Internet of Things) and related professions.

The invention provides a device for controlling an air-fuel ratio, which comprises an air-fuel ratio target value setting module, an air-fuel ratio detection module, a comparison module, a controller module and an execution module, wherein, the air-fuel ratio target value setting module determines the air-fuel ratio of a fuel power generation internal-combustion engine according to the working conditions of the internal-combustion engine; the air-fuel ratio detection module detects the air-fuel ratio actual value under the current working condition of the internal-combustion engine; the comparison module compares the air-fuel ratio actual value with the air-fuel ratio target value and sends the comparison results to the controller module; the controller module outputs the control signals to the execution module; and the execution module regulates the air flow and fuel flow in the main fuel pipe. The device further comprises a methane concentration sensor unit, an exhaust gas oxygen sensor feedback unit and a power feedback unit; wherein, the comparison results of the comparison module are modified by the methane concentration sensor unit, the exhaust gas oxygen sensor feedback unit and the power feedback unit and further sent to the controller module for treatment. The invention has the characteristics of timely detection, accurate control, energy conservation, environment friendliness, high efficiency and the like.

The invention relates to Rhodococcus ruber and application of Rhodococcus ruber in degradation of phenol pollutants. The Rhodococcus ruber is designated as Rhodococcus ruber SD3, which is preserved in a preservation unit appointed by SIPO (State Intellectual Property Office), wherein the preservation unit is a China Center for Type Culture Collection, the preservation date is February 26, 2012, the accession number is CCTCC NO: M 2012035, and the Latin name is Rhodococcus ruber SD3. The Rhodococcus ruber has the following technical effect: after Rhodococcus ruber SD3 in an inorganic salt medium of phenol (phenol concentration is 1.0g / L) is subjected to shaking table vibration culture at 35 DEG C and 200r / min for 72h, the phenol degradation rate is 99.73%. The Rhodococcus ruber SD3 can also degrade substances such as isooctane, cyclohexane, benzene, n-heptane, methylbenzene, acetonitrile, chlorobenzene, naphthalene, n-hexane, and 1-naphthol.

The invention discloses a PC (Polycarbonate) material with an excellent transparent light diffusion function and a preparation method thereof. The PC material is composed of polycarbonate, flame retardant masterbatch, an auxiliary flame retardant, a compound light diffuser, an antioxidant, a flame retardant synergist, a lubricant and other auxiliaries. The principle ingredient of the PC material is PC resin; the PC material is extruded by two steps, wherein the first step is to blend a sulfonate type major flame retardant and an organic silicon flame retardant with the PC resin by melting and granulate the mixture through extrusion by virtue of a twin-screw extruder so as to obtain the light diffusible flame retardant masterbatch, and the second step is to add the compound light diffuser, the flame retardant masterbatch, the antioxidant, the flame retardant synergist, the lubricant and other auxiliaries for further melting blending by taking PC as the major ingredient, and then extrude and granulate the mixture. The flame-retardant light diffusible PC material provided by the invention can be widely applied to an LED (Light-Emitting Diode) lamp, the backlight of a liquid crystal display, a transmission type screen, a decorative lighting billboard, an advertisement lamp box and the like in the lighting field.