146 results about "Environmental index" patented technology

An intelligent greenhouse control system comprises an information collection unit, a processor and an adjusting and controlling unit, wherein the information collection unit collects environmental information inside a greenhouse; the processor processes the information collected by the information collection unit; the adjusting and controlling unit adjusts and controls the environment inside the greenhouse; the information collection unit collects information of environment inside the greenhouse and data information of soil; the adjusting and controlling unit adjusts, controls and supplements the parameters. The data indexes needed by growth of plants are set in the processor in advance, then environmental indexes and soil indexes of the greenhouse are monitored in real time in the growing process, the indexes are compared with the data indexes set in advance, if a certain index deviates, adjustment and control are carried out through corresponding equipment, and therefore the optimal environment for growth of the plants is provided, the whole process is completely and intelligently controlled by the processor, automatic production is achieved without large accidents, the degree of dependence on people is reduced, and efficiency is improved.

The invention provides environmentally-friendly efficient atomization cutting oil, which comprises the following components in percentage by weight: 20 to 40 percent of synthetic ester, 60 to 80 percent of vegetable oil, 0 to 3 percent of antioxidant, 0 to 2 percent of anti-rusting agent, 0 to 5 percent of extreme pressure abrasion-resistant agent and 0 to 1 percent of metal passivator. The synthetic ester and the vegetable oil are matched and used base oil, so the cutting oil has the advantages of good lubricating property and biodegradability, resource recycle, no toxicity and the like, has low toxin and low harm to the human body and the ecological environment, meets the requirements of related environmental indexes, has good low-temperature performance and oxidation stability and strong universality, is suitable for metal cutting and processing of most materials, is particularly special cutting oil for modern advanced semi-dry and trace lubrication processing and development, and is mainly used for oil mist lubrication; and the gas and liquid two-phase oil mist can play a role in lubricating, take away a large amount of heat, reduce the consumption of cutting fluid, lower the cost and reduce the discharge of waste solution, and is favorable for environmental protection.

The invention discloses a home cloud control method and system on the basis of the mobile network. Intelligent home equipment in each family can be controlled through a unified control center with community as a unit. Only a set of data processing equipment and a storing device need to be arranged, and input cost is reduced greatly. A centralized control platform is provided, corresponding control instructions can be generated according to presetting of users, and the intelligent home equipment can be controlled directly so that parameters required by the users can be regulated to. In addition, various parameters at the home scene, such as environmental data of temperature and humidity, oxygen content and the like, electrical equipment operating status and home security situation, can be transmitted to a remote control terminal at regular intervals, so that the users can master home environment data and perform corresponding regulation. When abnormal situation exists, the home cloud control method and system on the basis of the mobile network can give the alarm to the users in real time and fully ensure equipment security and environmental index stability at home.

The invention relates to a novel RH gunning refractory belonging to the refractory material field. The gunning refractory comprises the following raw materials in weight percent: 50-60% of fused magnesite crude powder, 15-30% of fused magnesite fine powder, 10-255% of chrome ore, 0.5-2% of slaked lime, 1-5% of light calcium carbonate, 1-4% of sodium hexametaphosphate, 2-55% of borax, 2-4% of silica powder, 0.5-4% of sodium tripolyphosphate and 0.005-0.1% of carboxymethylcellulose; and the raw materials are evenly mixed in a stirring device to obtain a finished product. The RH gunning refractory prepared from the raw materials provided by the invention is low in production cost, resistant to erosion and good in impermeability; an RH insert tube after being subjected to gunning maintainmentcan be used more than 85 times and the RH insert tube can be used for 5-6 furnaces after every time of gunning maintainment; the service life of the RH insert tube is obviously prolonged and the production efficiency is greatly improved; and in the use process, no harmless gas gives out, no peculiar smell is produced and no thick smoke is generated; and therefore the novel RH gunning refractory completely meets specified environmental indexes and utilization requirements..

The invention discloses a totally-closed all-transparent intellectualized organic prawn ecological breeding device and belongs to a product and a technical system for prawn aquiculture. The totally-closed all-transparent intellectualized organic prawn ecological breeding device solves various prawn farming industry faced difficulties and problems such as water quality oxygen deficit, bottom material oxygen deficit deterioration, bacterial and viral diseases, stress reaction, antibiotic residue, drug residue, difficult biophysical chemistry environmental index regulation, high death rate and low survival rate, achieves transition from a traditional prawn pond culture mode to a totally-closed all-transparent full-automatic factory-like intellectualized multilayer grading running water ecological breeding mode with low costs, timely and accurately adjusts water quality biophysical chemistry environmental indexes such as the water quality illumination, the light quality, the temperature, the salinity, the dissolved oxygen, the nutritive salt, the carbon dioxide, a PH (Potential of Hydrogen) value, the transparency, the ammonia nitrogen, the nitrite, the sulfuretted hydrogen, organic matters, bacterial phases, algal phases, insect phases, food organism varieties and the density and produces various aquatic products satisfying market requirements.

A novel intelligent alarm clock based on human body vital sign detection comprises an alarm clock base machine unit and a wristband unit. The alarm clock base machine unit comprises a core plate, a turning-connection circuit, a base machine Bluetooth wireless transmission module, a speaker, a color liquid crystal display screen, an extensible USB interface, a temperature and humidity sensor, an air quality detection sensor and an LED lamp in the changeable color, wherein the turning-connection circuit, the base machine Bluetooth wireless transmission module, the speaker, the color liquid crystal display screen and the extensible USB interface are connected with the core plate, the temperature and humidity sensor, the air quality detection sensor and the LED lamp in the changeable color are connected with the turning-connection circuit, and the core plate and the turning-connection circuit are connected with a 5V power supply through a power supply interface. The wristband unit comprises a main control unit, a wristband Bluetooth wireless transmission module, an acceleration sensor, a temperature sensor, a photoelectric type heart rate sensor and a lithium battery, wherein the wristband Bluetooth wireless transmission module, the acceleration sensor, the temperature sensor, the photoelectric type heart rate sensor and the lithium battery are connected with the main control unit, and the lithium battery is further sequentially connected with a charger and a USB power supply interface module for being connected with an external power supply. According to the novel intelligent alarm clock based on human body vital sign detection, environmental indexes and physical indexes can be professionally measured, and the function of indicating the sleep quality, the function of a clock and the function of displaying and setting the date can be achieved through intelligent analysis.

The invention discloses a method for determining rice field nitrogen fertilizer applying amount. According to the method, it is firstly proposed that a straight line platform model of rice field nitrogen applying amount with the crop yield and environmental indexes is established, and reasonable rice field nitrogen applying amount is determined based on data information reflected by a straight line platform. By means of the rice field nitrogen fertilizer applying amount determined through the method, high yield of crops can be maintained, the problem of environmental pollution caused by excessive application of nitrogen fertilizer can be lowered effectively, and thus good balance between the yield and the ecological environment can be obtained.

The present invention provides a home smart healthy ecology environment control system. The system comprises: a smart vital sign monitoring terminal configured to monitor a user'life information data such as the body temperature, the heart rate, the breath, the pulse and the body movement and send the data to a server; a smart health detection terminal configured to detect the user' blood pressure, blood oxygen, blood glucose, blood fat, weight and biochemical index physiological data and send the data to the server; the sever configured to process the data and give out a health report and the most fitting indoor environmental index; a home gateway configured to connect with a central control device, a home device and the server, forward a control instruction and receive the feedback information; the central control device configured to control the home device according to the control instruction of the home gateway, obtain the indoor environmental parameters and feed the indoor environmental parameters back to the control terminal; and the control terminal configured to send the control instruction and receive the feedback information. The home smart healthy ecology environment control system can realize the automatic intelligent regulation and autonomous control aiming at different health live ecological requirement of each family.

The invention relates to a meat and poultry steady breeding farm and a dorking steady breeding method. The meat and poultry steady breeding farm comprises a house provided with a passage and a breeding net, wherein an air duct arranged below the passage uniformly distributes the air for the house through an air-distributing port; the outsides of front and rear walls of the house are provided with longitudinal dung discharging ducts; an air extracting chimney is arranged above each dung discharging duct; and a corresponding dung discharging slope is arranged below the breeding net so that the poultry dung falling on the dung discharging slope is discharged to the dung discharging duct through a dung discharging port at the wall foot of the house. Due to the natural air flow formed by wind pressure and hot pressure in the breeding farm, the harsh microclimate in the poultry house, such as dead corner, evil wind and the like, can be avoided, so that the air inside and outside the poultry house can be exchanged and the air in the house is kept fresh all year; the breeding farm has reasonable overall layout and complete function, which facilitates the control of each environmental index in the house and creates a condition for the domestic poultry to play the maximum production and genetic potential; the disinfection load is reduced, the using amount of the health-care medicine is reduced, the entire breeding is steady and the epidemic situation is improved, the power and heat preservation consumption is low, and the breeding efficiency can be greatly improved.

The present invention relates to a cold-chain transportation environment prediction method and system. According to the present invention, a Markov model and a BP neural network are utilized to predict the cold-chain transportation environments, thereby monitoring the abnormal states of the cold-chain transportation environments. The cold-chain transportation environments mainly are temperature, humidity and illumination, according to the principle that different transportation articles correspond to different health data, the Markov model is utilized to divide the final states of the data into the normal and abnormal states. Actually, by setting the states of the different environmental data segments according to the storage environmental indexes of the different transportation articles, the smaller environment fluctuation can refine the data risk indexes, the cold chain vehicle environmental trend is evaluated by comparing the predication results and the segmented data and according to the risk coefficients, and the quality of the transportation articles is guaranteed by prediction.

The invention provides a microenvironment intelligent control system and a microenvironment intelligent control method, and relates to an environment control system. The microenvironment intelligent control system and the microenvironment intelligent control method are widely applied to places of power plants, transformer substations, laboratories and warehouses with the high requirements for environmental conditions. The microenvironment intelligent control system is provided with a temperature sensor, a humidity sensor, a control center and peripheral equipment. The temperature sensor and the humidity sensor are installed in a control region. The control center is provided with a remote monitoring terminal, a single-chip microcomputer controller, input equipment and output equipment. The input equipment and the output equipment are connected with the input terminal and the output terminal of the single-chip microcomputer controller respectively. The input equipment comprises a keyboard and buttons. The output equipment comprises a display screen and a warning lamp. The peripheral equipment comprises a heater, a fan and a dehumidifier. The peripheral equipment and the control output terminal of the single-chip microcomputer controller are connected and communicated in a wired or wireless mode. The remote monitoring terminal is provided with a computer and interconnected and communicated with the single-chip microcomputer controller in a wireless mode. The temperature sensor and the humidity sensor are utilized to detect and analyze environmental indexes, and the peripheral equipment is started.

The invention discloses an underground comprehensive pipe gallery inspection system, which includes an unmanned aerial vehicle flight platform, a flight controller, an RGB-D camera and a lidar obstacle avoidance sensor. The RGB-D camera collects visual point cloud data of a comprehensive pipe gallery; the lidar obstacle avoidance sensor collects environmental obstacle data of the comprehensive pipe gallery; the obtained visual point cloud data and environment obstacle data are transmitted to the flight controller; the flight controller comprehensively analyzes the visual point cloud data and the environmental obstacle data and generates an inspection flight map according to analysis results; and according to guidance of the inspection flight map, the unmanned aerial vehicle flight platformrealizes the guidance of autonomous obstacle avoidance cruise and fixed point hover to automatically inspect the comprehensive pipe gallery. The unmanned aerial vehicle flight platform is provided with an information acquisition part to collect environmental index data in the underground comprehensive pipe gallery in real time, the manual work is replaced by the unmanned aerial vehicle flight platform to complete pipe gallery inspection and patrol at high efficiency and high quality, the reliability is high, the stability is good, and the defects that existing crawler type travelling inspection robots or track type travelling robots are high in cost and difficult to put into the market in bulk are overcome.

The invention discloses an online washing device of an environmentally-friendly desulfurization pH value detector. A sampling pipeline which is communicated to a pole cup (6) is sequentially equipped with a pressure reducing valve (1), a cooler (4) and a sampling electric control valve (8), an ultrasonic cleaner (9) is connected with the pole cup (6); structure of the cooler (4) is that cooling water is injected into an outer tube which covers an inner tube through a valve (3); and a flushing pipeline with a blow-down electric control valve (7) is arranged between the sampling electric control valve (8) and the pole cup (6). The washing device guarantees the online real-time monitoring of wet desulfurization pH values, ensures the production efficiency of the environment-friendly desulfurization, and meets high-standard environmental indexes. The device depressurizes and cools down sampling serum, which ensures the detection safety and facilitates the assembly and the disassembly of a probe of the pH value detector. The probe of the pH value detector is washed in time by ultrasonic wave so that the service life of the probe is greatly prolonged. The measured sample and wash sewage are discharged to a recovery system for further treatment, which avoids the environmental pollution.

The invention provides a system and method for achieving ultra-low emission of dust and NOx at high temperature. Ultra-low emission of the dust and NOx in a high-concentration dust environment can be achieved, SO2, SO3, HCl and HF can be efficiently removed, the floor space is small, the operating energy consumption is low, no wastewater is drained, and the environmental indexes are advanced. The system comprises a coal economizer, a fluidized bed reactor, a cyclone dust collector, an ammonia injection grid, a denitration dust collection tower, a air preheater, an induced draft fan and a chimney which are communicated through flues, a desulfurizing agent supplying system and an ammonia supplying system; a gas inlet of the fluidized bed reactor is connected with the upstream flue, a solid inlet of the fluidized bed reactor is connected with the output end of the desulfurizing agent supplying system, and a flue gas outlet of the fluidized bed reactor is connected with a gas inlet of the cyclone dust collector; an ash discharging port of the cyclone dust collector is connected to the solid inlet of the fluidized bed reactor through a middle ash bin ash discharging device; the ammonia injection grid is arranged in one flue, and the input end of the ammonia injection grid is connected with the ammonia supplying system. Accordingly, ultra-low emission of NOx and the dust in the high-concentration dust environment can be achieved through secondary dust collection.

The invention discloses a multi-node monitoring managing system for a raising environment of an aquarium. The system comprises a master computer, a slave computer and a client; the master computer and the slave computer are connected through the Zigbee network; the client is connected with the master computer through mobile communication network; the master computer comprises a central micro-processing unit, a liquid crystal display, an audible and visual alarming module, a GSM module and a Zigbee host, and the master computer is mainly used for acquiring and analyzing data, displaying the data on real time, starting audible and visual alarm, sending a GSM alarm short message and reading a remote control instruction; the slave computer comprises a microprocessor, a data monitoring module, a Zigbee router, a key, a liquid crystal display, an audible and visual alarm module and an external control module, and the slave computer is mainly used for setting, acquiring, displaying, analyzing, processing and sending various environmental index data, controlling the external setting, and controlling to read and perform a command. With the adoption of the system, the functions of multi-population and multi-node intelligent raising, monitoring and remote managing for aquarium fishes are realized; the working efficiency of a raising worker is improved, and the cost of raising is decreased; the system is accurate, efficient, simple and economic.

We disclose an apparatus and process for measuring the granulometry separations in discrete media and unconsolidated sediments for relatively small sample quantities (5 cc containers of drilling cuttings). A small diameter glass tube may be filled with a small amount of sample, and water added. After shaking it and placing it vertically, the larger, denser particles will settle near the bottom. Particle size will tend to decrease in size towards the top. Placing the tube near an array of sensors may perform a quantitative analysis. These include but are not limited to sonic, gamma and optical sensing. One or more sensors are slowly moved past the tube and digitized readings be recorded. The collected readings are interpreted by the quantity and sizes of particles and by their distribution. The results may be presented in various ways. Also the results produced may be used to calculate the Environmental Index of energy of accumulation and to quantify the relative permeability of a potential reservoir (as disclosed by the author in U.S. Pat. No. 6,301,953 B1, Date Oct. 16, 2001, Quantification of drilling mud cuttings characteristics as a measure of relative permeability.

A characteristic index feedback system comprises a wearing device and a remote server. The wearing device is used for collecting physical indexes, environment indexes and dynamic indexes conveniently, and driving a feedback module to provide feedback for a user according to a feedback result control value of the remote server. The remote server is used for storing and calculating the physical indexes, the environmental indexes and the dynamic indexes collected by the wearing device and calculating the feedback result control value. The wearing device comprises a physical index detection module, an environment index detection module, a dynamic index detection module, a communication module and the feedback module. The remote server comprises a database, a comparison module and a control module.

The invention discloses a highly environmental-friendly flame retardant reinforced PC / ABS blending material and a preparation method thereof. The flame retardant reinforced PC / ABS blending material comprises the following raw materials in percentage by weight: 50-80% of PC, 10-30% of ABS, 5-15% of flame retardant and 3-15% of carbon fiber. The carbon fiber is subjected to surface activating treatment. The flame retardant reinforced PC / ABS blending material obtained through the technical scheme of the invention has the many advantages, such as high strength, high flame retardance and high environmental-friendly property. By addition of the carbon fiber subjected to surface activation, stretching and bending performance of the blending material can be enhanced, and various organic volatile matter constituents in the PC / ABS can be adsorbed effectively by lots of micropores on the surface of the carbon fiber, so that multiple environmental indexes, such as material odor and TVOC (Total Volatile Organic Compounds), are improved, more importantly, the promotion of environmental performance is not at the cost of sacrificing the flame retardance of material, on the contrary, the flame retardance of the blending material is also promoted, the combustion time of the blending material away from the fire becomes shorter, and the self-extinguish ability of the blending material becomes better.

The invention relates to a microbial network-based method for assessing the risk of environmental pollution. The method is mainly used for assessing the risk of pollution of environmental media such as soil, surface water, underground water and bottom mud. The method comprises the following steps: obtaining microbial community structure and relative abundance data of an environmental sample through metagenome sequencing, and obtaining basic environmental indexes of the corresponding sample at the same time; and constructing a microorganism interaction network model according to the dominant microorganisms and the key environment indexes. The stability of the environmental micro-ecosystem is evaluated through the positive and negative correlation ratio and the network average degree changein the microorganism coexistence relationship. The negative correlation ratio is reduced to indicate that the environmental pollution risk is increased. Proper environmental pollution prevention measures need to be taken. Compared with a conventional method for monitoring and evaluating environmental pollution based on a plurality of environmental physicochemical indexes, the environmental pollution monitoring and evaluating method based on the ecological statistics can make a pre-judgment before the occurrence of pollution, and is helpful for a monitor to make a timely and accurate judgment on the environmental pollution prevention and control opportunity.

The invention belongs to the technical field of protected agriculture, in particular relating to a three-dimensional ecological cultivation method for organisms. The method provided by the invention is characterized in that a cultivation space is vertically divided into multiple layers; and according to the environmental indexes such as illumination, temperature, humidity, carbon dioxide and the like of each layer, a species is cultivated on each layer of which the environmental indexes are suitable for the growth of the species. Meanwhile, the invention also provides a three-dimensional cultivation frame for implementing the method; the three-dimensional cultivation frame is of a vertical layered structure with the layer number greater than 1, comprises a strut as well as a detachable beam, a mesh, a fixing bolt, a cultivation container, an irrigation and backflow pipeline and light supplementing or illuminating facility on each layer, and is arranged in the cultivation space. According to the invention, different needs of different species on the environmental indexes such as temperature, humidity, illumination and the like are fully considered, the growth difference of the organisms is reduced, the management on greenhouse production is more convenient, and the resource waste is effectively reduced.

The invention provides an underground wireless DCS (data communication system) safety monitoring system comprising a wireless network, a sensor module, an A / D (analog / digital) conversion module, a digital-analog transmission module, a server, a signal transceiver module and a processor. The sensor module, the A / D conversion module, the digital-analog transmission module, the server, the signal transceiver module and the processor are in communication by the wireless network. Environmental index parameters of different positions underground can be monitored by the system at any time and then sent to the processor of a monitoring center to be subjected to information analysis so as to realize early warning; further, accident locations of mines can be determined within a short time, emergency processing scheme making is facilitated, and safety of underground operators is guaranteed effectively.

The invention provides a livestock feeding environment measuring and controlling system based on wireless sensor network, which comprises a time setting unit, a data detection unit, a network transmission unit, an environment detection center and a equipment control unit. The data detection unit is used for acquiring various environmental index data in the livestock house according to the time interval set by the time setting unit, and transmitting the acquired data to the environment detection center through the network transmission unit. The environment detection center is used for evaluating the environment conditions in the current livestock house. Early warning is carried out when the environment condition in the livestock house is judged to be not beneficial to the healthy growth ofthe livestock, and the environment conditions in the current livestock house are improved through the equipment control unit. The method has the beneficial effects that the change of environmental indexes in the livestock house is measured in real time through the wireless sensor network, and the acquired data is classified by adopting a PCM algorithm, and a neural network model is adopted to evaluate the condition of the livestock feeding environment according to the classified result.

The invention provides an environment monitoring robot and an automatic patrol inspection method thereof. The robot is connected with a client side in a communication mode. The robot comprises a car body (3), front end driving mechanisms (1), rear end driving mechanisms (2), an anti-collision module (5) which is arranged on the car body, a thermal detecting instrument module (9), a high-definitionvideo monitoring and illuminating module (6), an environmental index monitoring module (10), a front visual navigation module (7), a rear visual navigation module (8), a central processing module anda solid-state battery, wherein the front end driving mechanisms (1) and the rear end driving mechanisms (2) drive the car body, and the central processing module and the solid-state battery are arranged in the car body. According to the environment monitoring robot and the automatic patrol inspection method thereof, area patrol inspection can be more convenient, more agile and more comprehensive,real-time monitoring can be realized, the protective degree of the security and protection in a severe environment is improved, and the robot and the patrol inspection method are suitable for patrolof factories, industrial areas and specific areas, instrument point inspection, special equipment point inspection and dangerous equipment patrol inspection such as patrol inspection of the cable temperature, the transformer temperature, the electric starting temperature and the like.

The invention relates to a polycyclic aromatic hydrocarbon property / toxicity prediction method using an intelligent support vector machine. The method, based on measured polycyclic aromatic hydrocarbon molecule structures and the quantitative structure-activity relationship technology, establishes a polycyclic aromatic hydrocarbon environmental index prediction module and a polycyclic aromatic hydrocarbon carcinogenicity prediction module and employs the support vector machine algorithm, thereby realizing handing of problems of small samples, nonlinearity and high dimension. The method also optimizes the models by using the grid search method, the genetic algorithm, and the particle swarm algorithm, thereby preventing parameter influence and further improving the accuracy of the models. The method can predict the property and toxicity of unknown polycyclic aromatic hydrocarbons rapidly by using intelligent optimized support vector machine; compared with conventional toxic test experiments, the method increases the test efficiency; compared with the conventional statistical prediction method, the method improves the generalization; compared with normal algorithms, the method prevents parameter influence, realizes programming and can provide referable decisional proof for environmental evaluation of polycyclic aromatic hydrocarbons.

The embodiment of the invention provides a method and device for predicting the shelf life of harvested fresh grapes. The method comprises the following steps: by analyzing main factors influencing the shelf life of harvested fresh grapes, calculating the shelf life of the fresh grapes in constant-temperature and variable-temperature environments by adopting an analytic hierarchy process on the basis of environmental indexes, sensory indexes and physical and chemical indexes, and generating network model training and testing data; designing the number of hidden layer nodes and a radial basis function of the network by utilizing the super-strong self-adaptive capability and self-learning capability of the RBF neural network so as to improve the convergence speed and learning capability of the network; The center and width of the radial basis function of the hidden layer are optimized by adopting fuzzy clustering, so that global optimization is ensured; The genetic algorithm is adopted to optimize the network weight value and continuously adjust the network weight value, the network is prevented from falling into a local minimum value easily, and the network stability and the generalization capability are improved.

The invention relates to an efficient environment-friendly concrete preservative, which comprises the following components in portion by weight: 10 to 18 portions of various benzoic acids and boric acids, 20 to 40 portions of silica fume, 20 to 35 portions of alkalis; 35 to 50 portions of ethanolamine, and 15 to 20 portions of active components. The preservative can be widely applied to various building materials, especially to concrete and cement, and is reliable in rust prevention and corrosion resistance and good in environmental indexes. The preservative has the advantages of containing no mineral oil, containing no nitrite, chromate and the like harmful to human body, adapting to compressive strength (50 MPa in general) of actual requirements, improving strength, durability and heat resistance and meeting the requirements for high-performance concrete, along with no toxicity, no stimulation, no pollution, good construction performance, high dimensional stability, less shrinkage and no cracking in the hardening process.

A novel halogen-free flame-retardant reinforcing polyester alloy (ETP) is characterized in that the prescription (weight percent) of raw materials comprises the following main materials and auxiliary materials, wherein the main materials comprise (1) 40-50% of polyethylene glycol terephthalate (PET) and (2) 15-20% of polytrimethylene terephthalate (PTT), and the auxiliary materials comprise (1) 12-20% of halogen-free flame retardant (PDPTP), (2) 0.2% of antioxidant 1010 / 168, (3) 0.4-0.6% of lubricating agent (TAF), (4) 1-3% of nucleating agent (nano-bentonite), (5) 2-4% of crystallization accelerating agent (polyether), and (6) 10-30% of reinforcing agent (alkali-free glass fiber). The polyester alloy is prepared by taking PET / PTT polyester as main material, taking PDPTP as halogen-free flame retardant, using polymerizing technology, crystallization accelerating technology and nucleating technology, adding auxiliary material, and using a double-screw extruder for plastifying and pelleting. Through the synergistic effect of each component of the system and the unique processing technique, the product has excellent comprehensive performance; the environmental index meets European Union RoHS, IEC halogenation-free and Reach requirements; the flame-retardant grade reaches to UL94, 0.8mm V-0 level; the leakage tracking index (CTI) reaches to 425V; the test temperature of scorching wire reaches to 750 DEG C; both the intensity and the toughness can meet the requirement of products in electronic industry.

The invention discloses a method for estimating the anti-total dose viability of a component. The method comprises the following step that the situation of logarithmic normal distribution of relation between the MOS (Metal Oxide Semiconductor) device anti-total dose survival probability and spatial environmental index requirements and total dose allowance is obtained, the anti-total dose survival probability of in-batch devices is related to a total dose effect invalid threshold standard difference sigma, and the survival probability can be improved by controlling the sigma in limited total dose allowance. By adopting the method, the estimation on the anti-total dose survival probability of devices in a spatial environment can be achieved by only controlling the total dose effect invalid threshold standard difference sigma, and the efficiency is greatly improved.