42 results about "Primary Indicator" patented technology

The invention relates to an ecological restoration and purification method for water of lake and pool wet land. The method is characterized by comprising the following treatment steps sequentially: a first stage, a second stage and a third stage, wherein the first stage comprises the steps of pumping the water of the lake and pool wet land to dryness sectionally, performing activity, disinfection and dehydration treatment on sludge of the lake and pool wet land, prefabricating and mounting a submerged aeration facility, planting a submerged vegetation community, and filling in the water of the original lake and pool wet land; the second stage comprises the step of putting water purification bugs into the water for treating suspended matters in the water and purifying the water, such as algae and detritus; and the third stage comprises the steps of planting floating-leaved plants in the water, and configuring aquatic animals capable of eating partial aquatic plants for restoring a food chain of a water ecosystem. The method can ensure that the restored or purified water can reach a Category III or above primary indicator of Environmental Quality Standards for Surface Water (GB 3838-2002); the water purification effect is enduring; and both a symptom and a root cause are treated.

Remote monitoring of superconducting magnet systems of various types, manufacturers, vintages, and so forth, via a magnet selector interface providing for configuring the monitoring system to the particular magnet system of interest. The technique provides for scalable analogue to digital conversion with integrated excitation circuitry for the input and output of magnet system sensors. Devices, such as remote terminal units and other data-logging technology may be adapted to remotely monitor primary indicators and secondary indicators of magnet system performance and related boil-off of helium. The technique provides earlier warning of impending failures in the magnet system, and thus facilitates predictive maintenance, reduces maintenance costs, reduces MRI downtime, reduces helium loss, and the like.

Techniques and systems are described for detecting malware's bulk transformation of a user's data before the malware is able to complete the data transformation. Included are methods and systems for enabling malware detection by monitoring the file operations of a computer application or process for particular kinds of suspicious data transformation indicators. Indicators include primary indicators, such as file-type signature changes, notable changes in file data entropy, and out-of-range similarity measurements between the read and write versions of file data, as well as secondary indicators, such as a large number of file deletions and a large reduction in the number of file-types written versus read by a process over time. When indicators are triggered by a process, an adjustment to the process' malware score is made; in the event that the process' malware score reaches a malware detection threshold, the process is marked as malware and appropriate actions are taken.

The invention provides an investment effect evaluation method for county power distribution networks, which comprises the following evaluation steps: (1) establishing an index evaluation system and determining evaluation indexes; (2) determining an index evaluation function, and determining the threshold value of each index according to index data statistics; (3) acquiring fundamental data of a power distribution network correlated with evaluation indexes of an area to be evaluated, and verifying the integrity and validity of the fundamental data; (4) normalizing the evaluation indexes; (5) calculating the score of each evaluation index and the comprehensive score of each evaluated area through weighting; and (6) according to the evaluation results, sequencing the investment effects of selected evaluated areas in a descending order, analyzing main indexes influencing the sequencing of investment effects, and for lower-ranking evaluated areas, making an optimizing adjustment strategy. According to the invention, the acquired index data of each evaluated area is subjected to normalized processing by using an evaluation index function, and then the score of each evaluation index and the comprehensive score of each evaluated area are calculated according to a combination weight so as to find out the weak links existing in a power distribution network, thereby quantifying the investment efficiency of a county power distribution network, and providing reference and basis for distribution network planning and decision-making departments.

The invention discloses a hydrogenation method and a hydrogenation device for an oxanthranol-containing working solution. The hydrogenation method comprises the following steps: carrying out hydrogenation reaction on hydrogen-containing gas and an anthraquinone working solution under a catalytic action of a catalyst to generate the oxanthranol-containing working solution; condensing, separating, filtering and pressurizing tail gas generated in a hydrogenation reaction process for recycling; filtering one part of the generated oxanthranol-containing working solution, and then removing the catalyst; carrying out cooling, filtering and security filtering, and then carrying out follow-up oxidation reaction; carrying out hydrogenation reaction on most oxanthranol-containing working solution again. After the process is industrialized, the production efficiency can be improved by 40 percent or above on the basis of an existing domestic fixed-bed hydrogenation process; in addition, dangerous factors in a production process are overcome in a production principle and process essence, and the concentration of a product can be improved from 30 percent to 40 percent or above; besides, primary indicators, such as the content of organic carbon and the content of nonvolatile matters, of the quality of the product are better than those of a product produced by a fixed-bed process; the hydrogenation method and the hydrogenation device have an epoch-making pushing meaning for development of hydrogen peroxide in China.

The invention discloses a multi-target air-to-ground semi-supervised machine adaption independent decision-making real-time attack method. The method comprises the steps that the target attack necessity is calculated by adopting the six main indexes, namely, the number nh of fire units, the reliability K, the survivability S, the search capability F, the damage capacity H and the antijamming capability G; the target attack necessity is calculated through an analytic hierarchy process; a semi-supervised machine adaption decision-making system carries out air-to-ground attack decision making on multiple targets; a semi-supervised machine self-adaption system is constructed, and the target attack necessity is automatically sorted through the constructed semi-supervised machine self-adaption system; the attack effectiveness of an unmanned aerial vehicle is analyzed through an information balance weight algorithm; the comprehensive weight is calculated through the information balance weight algorithm, and a decision matrix is constructed; the multi-target unmanned aerial vehicle attack strategy is comprehensively considered, independent decision-making is carried out on the attack sequence of the unmanned aerial vehicle, and the unmanned aerial vehicle is dispatched to attack. The method has the advantage that multi-batch precise attacks are carried out according to the sequence of the target attack necessity.

The invention belongs to the technical field of flotation mineral separation and clean production, and particularly relates to a heavy-metal-containing flotation wastewater treatment and recycling technique. The technique comprises the following steps: carrying out primary settling, coagulation treatment and flotation on flotation tailings to remove the solid suspended substances, foaming agent and collector, sending into a fluidized adsorber to further remove the residual foaming agent and collector, passing the effluent water through a resin exchange desalter to remove sodium and potassium salts, pumping the primary settling sludge into a filter press, dewarering, discharging into a tailing bin, and sending the filtrate into a regulating tank for continuous treatment. Compared with the prior art, the technique provided by the invention has the advantage of low chemical consumption, and is convenient and accurate for control; and the primary indicators of the wastewater treated by the technique can be respectively controlled within the required ranges in Grade 3 of National Sewage Comprehensive Discharge Standard GB8978-1996, and satisfy the national environmental requirements.

The method comprises: creating a detective loop circuit comprising signal-triggering controller, primary indicator, cable under test, secondary indicator and earth-grounding. The cable under test is used as a high end, the ground is used as low end; using polling method to sequentially detect the connection state of the inner wire connected to the cable. The apparatus thereof comprises: a controller for receiving the detection mode signal and saving the control program used for detecting the pace and procedure; a primary indicator connected to the cable under test and used for receiving the detection indication from the controller; a cable under test connected to ground through the primary connector and secondary indicator in order to construct a detective loop circuit.

The invention discloses a probabilistic forecasting method for the performance of a shock isolation rubber support. The method assumes that the detection indexes of the selected shock isolation rubber support obey normal distribution, and introduces the concept of confidence interval in the probability theory to forecast the performance of the shock isolation rubber support based on statistic analysis on the performance of a great number of detected shock isolation rubber products. In specific implementation, the minimal number of samples reasonably detected under the expected reliability is determined by a trial method according to the reliability of the main indexes for performance detection of the selected shock isolation rubber support and the performance indexes reaching the qualification requirements. As the reliability beta can be preset as different values, reliability sensitivity analysis is performed to determine the optimal beta value. The probability-based reliability guaranteeing method guarantees the product reliability without detecting the supports one by one, improves the detection efficiency, lowers the detection cost, greatly reduces the energy consumption and conforms to the development trend of the conservation-minded society.

A system for creating image and or text-based projects from a mobile application includes a server having access to least one processor, a data repository, and a non-transitory physical medium. Software running from the medium provides a first function for establishing a client server connection between the server and at least one user-operated mobile computing device connected to the network, a second function for initiating an active data session with the user through a graphics user interface (GUI), a third function for capturing a visual likeness of one or more ordered image and or text-based projects, a fourth function for presenting the likeness of the one or more ordered image and or text based projects as the primary indicator of an ordered project, and a fifth function for enabling navigation of and digital expansion of the one or more ordered projects indicated in display on the mobile computing device.

The invention provides an agricultural company investment value assessment method and system. The method comprises the steps of obtaining primary indicators influencing the investment value of an agricultural company; obtaining key indicators influencing the investment value of the agricultural company from the primary indicators; establishing an investment value assessment model according to the key indicators; and assessing the investment value of the agricultural company according to the key indicators influencing the investment value of the agricultural company and an investment value assessment model to obtain an assessment result of the investment value of the agricultural company. The method does not depend on uncertain expectational factors and effectively improves the accuracy of investment value assessment.

The invention discloses a method for engineering project whole-process consultation service appreciation, which comprises the following steps: defining the content of a construction project, and taking the construction project as a value management entry point before actual implementation; inspecting the construction project; determining consultation main indexes of the whole process of the project, and performing specific value management, including collecting related information, forming a value tree, establishing a value network for the process of realizing the value of the project, findingout determined factors in the value tree, and selecting the most suitable scheme for money and time required by further development of the factors. According to the method, contents of different stages of project implementation are combined; effective value evaluation and management can be performed on elements and tasks capable of realizing project value addition, and then the maximum value addition of the project is realized by using appropriate measures so that control of the whole-process consultation service value addition point can be comprehensively realized, the whole-process consultation service value addition effect can be enhanced, reasonable resource utilization can be brought and benefit maximization can be reasonably realized.

The invention discloses a goods supply distribution method based on artificial intelligence, and relates to the tobacco resource distribution and artificial intelligence technologies. The method makesthe most of the data of the tobacco industry, combines with an artificial intelligence algorithm, and employs the autonomous learning ability of a BP neural network model in the artificial intelligence for the deep mining of the deep correlation between all indexes, and achieves the automatic distribution of a retailer resource strategy. The method comprises the steps: selecting the main indexesof the market dimension and the customer order dimension in the marketing of cigarette, and constructing the correlation between the indexes through the autonomous learning ability of the BP neural network model in the artificial intelligence and the forwarding propagation of a signal and the back propagation of an error; repeatedly training the model, combining the parameters obtained through thetraining of the model and historical index data of all dimensions as the input parameters of the BP neural network model, and automatically calculating the resource distribution quantity of retailercustomers. The method reduces the impact from the human factors in the resource distribution process, and improves the matching degree of a resource distribution result with the demands of the customers.

An appropriate intervention is constantly provided for a worker without relying on the experience or the intuition of a manager for improving and enhancing the productivity. Vital sign measurement data and motion measurement data obtained from workers WK1, WK2, and WK3 during operation are used as primary indicators. The primary indicators and learning data generated separately are used to estimate the emotion and the cognition of the worker. The estimated emotion and cognition are used as secondary indicators. The secondary indicators and relational expressions generated separately are used to estimate the productivity of the worker. The variation of the productivity estimate is compared with a threshold that defines the condition for providing an intervention. When the variation of the productivity estimate is determined to exceed the threshold, the intervention is provided for the worker.

The invention discloses a quantitative calculation method for electric energy quality influence weights. The method comprises: firstly, calculating normalization coefficients of the electric energy quality index influence weights based on disturbance power of various electric energy quality indexes; calculating an influence weight ratio of each type of power quality index according to the normalization coefficient of the influence weight of each type of power quality index; and optimizing the electric energy quality constraint objective function based on the influence weight proportion of different types of electric energy quality indexes. The quantitative calculation method for an electric energy quality influence weight realizes weight calculation of different electric energy quality indexes, and various objective functions based on electric energy quality constraint planning are corrected, main indexes influenced by electric energy quality are caught, and the technical problem thata nonlinear device (load / power supply) access power grid judgment method is complex due to the different electric energy quality indexes is solved.

The invention discloses a power distribution network diagnosis index classification method based on factor regression analysis. The method comprises the following steps: dividing selected power distribution network indexes into a target layer, a main index layer and a sub-index layer by using an analytic hierarchy process; carrying out factor analysis on the current situation diagnosis index sample data to obtain a common factor of the current situation diagnosis index; and performing multivariate regression analysis, performing collinearity analysis, and deleting redundant indexes. Accordingto the method provided by the invention, the key indexes influencing the diagnosis and analysis of the power distribution network can be quickly and accurately found, the classification of the key indexes of the power distribution network can be realized, and the diagnosis and analysis efficiency and accuracy can be improved.

The invention discloses multifunctional extensometer marking apparatus. The apparatus comprises a rigid support and an amesdial, wherein the rigid support comprises a pedestal and a main support part,which is provided with an upper fixture and a lower fixture which are positioned on the same axis; the upper fixture is in sliding connection with the main support part through a sliding block connecting piece, the lower fixture is fixedly connected with the main support part and the pedestal through a lower clamping block, one end of the main support part is fixedly connected with the pedestal,the other end of the main support part is connected with the amesdial through an upper clamping block, the micrometric screw of the amesdial passes through the upper clamping block and is connected with the sliding block connecting part, the sliding block connecting part is in sliding connection with the main support part through a guide rail sliding block, and the upper clamping block and the lower clamping block are symmetrically and respectively arranged at two ends of the main support part. The multifunctional extensometer marking apparatus is integrated with the marking functions of a longitudinal extensometer and a transverse extensometer, the metrological verification cost is greatly reduced, and the marking efficiency is improved; meanwhile, a high-precision displacement micrometeris provided, according to the micrometer, the structure is reasonable, the performance is stable, and the primary indicators reach the advanced level of similar measuring instruments.

The invention discloses a method and a system for testing a software defined packet transport network. The method comprises steps: a service message with a destination receiver as a second target tested device is sent to a first target tested device in the software defined packet transport network; a service opening instruction for the first target tested device and the second target tested deviceis issued to a software defined packet transport network controller in the software defined packet transport network; and according to the issuing time of the service opening instruction and the timeof receiving the service message in the second target tested device, the performance of the software defined packet transport network is determined. Through calculating the time difference between the service opening instruction issuing time at a user side and entry into force time of service between the software defined packet transport network devices as a main index for service opening performance test, the test result accuracy can be ensured.

First pass retention of paper stuff is a primary indicator for reservation situation of fibre and other solid content on the forming fabric in estimating paper manufacture wet end page forming process, and also an important indicator of regular detection in paper mill production process which directly reflects whether the wet end working regular or not. The invention provided method for measuring first pass retention of wet end rapidly, the measurement steps are: first preparing concentration of paper stuff; then measuring concentration of filtrate, and then measuring turbidity of the filtrate and at last determining the first pass retentioin according to concentration of paper stuff, concentration of filtrate and turbidity of the filtrate with correlation formula. But when measuring first pass retention according to the Tappi standard, the operation process is trivial and relatively expensive detectiong equipment is needed, which is very incovenient. After several experiments and combining with related information study, the inventor found that, there is good relativity between concentration and turbidity of the paper stuff filtrate and using the concentration of the filtrate and concentration of the paper stuff can calculate out first pass retention of the paper stuff directly.

The invention relates to the technical field of special feed for young animals, in particular to low-protein balance amino acid piglet compound feed which comprises, by weight, 70-74 parts of corns, 16-18 parts of bean pulp, 4-5 parts of bran, 0.8-1.5 parts of fish meal, 1-3 parts of compound additives and 0.45-0.60 part of lysine. According to the feed, the usage amount of the bean pulp is less, feed cost is reduced, crude protein content is reduced by 2%, intestinal health of piglets can be facilitated, heat stress can be resisted under tropical conditions of Guangdong and the like, and nitrogen emission is decreased. Researches show that when dietary protein level is reduced by 1%, the nitrogen emission is reduced by 7%, various primary indicators such as metabolic energy and amino acid cannot be changed, production performance cannot be affected, and a metabolic energy system and various nutritive indexes are accurately adjusted, so that the compound feed is more accurate in nutrition.

The invention relates to a power dispatching automation system service capability evaluation system and method. The method comprises the steps that an acquisition / integration module acquires monitoring data; the business relationship engine module defines business associated data in advance; the rule engine module establishes an object rule, a hierarchy rule and a system rule; and the service capability index evaluation engine module outputs an object service capability index, a hierarchical service capability index and a system service capability index according to the acquired monitoring data, the business association data, the calling object rule, the hierarchical rule and the system rule. The method can be used as a main index for measuring the operation conditions of the full-automatic machine room and each concerned application system and providing service capability to the outside; the system is used for guiding actual management and operation and maintenance work, and meanwhile, the change of the service capability index directly reflects the change trend of the availability and reliability of the system, so that managers are helped to detect fault hidden dangers in advance, and preventive measures are taken.

The invention relates to a quantitative analysis method for influencing factors of load characteristics, belonging to the technical field of electric power engineering. At first, a main index of the influence factors of the load characteristic is extracted by a principal component analysis method, the traditional grey relational analysis method is improved, the main influencing factors are quantitatively analyzed by fuzzy weighted grey relational analysis, and thus the correlation degree between the load characteristic index and the main influencing factor index is obtained. Therefore, the users can take appropriate forecasting methods according to the influence of different factors. The method is of great significance to improving the accuracy of regional load forecasting and ensuring thesafe, economic and efficient operation of the power network.

The invention discloses an enterprise lever efficiency evaluation method, which comprises the following steps of: obtaining financial data of an enterprise to be evaluated; according to financial data, calculating a primary indicator value of each risk indicator of the enterprise, wherein the risk indicator comprises asset-liability ratio, quick ratio, cash coverage ratio, times interest earned, cash recovery of assets, inventory turnover ratio, and surplus cash guarantee multiple; according to industry type of the enterprise, obtaining the indicator weight of each risk indicator in overall risk of the enterprise; according to each primary indicator value and each indicator weight, calculating a subdivision risk value of each risk indicator; and according to the subdivision risk value, calculating lever efficiency of the enterprise. The invention further discloses an enterprise lever efficiency evaluation apparatus, equipment and a storage medium, so that enterprise lever efficiency can be comprehensively evaluated, accuracy of evaluation result can be improved, and a foundation can be laid for decision direction of the enterprise.

The invention discloses a detection method for primary indicators of concrete aggregate. By simple and reasonable concrete aggregate detection steps, all data needed for calculating primary technical indicators of the concrete aggregate including water absorption, apparent density, stacking density and stacking voidage can be acquired by one complete experiment, the water absorption=(m3+m0-m1)*u1 / (m1-m0)*100%, the apparent density={{(m1-m0) / [(m1+m4-m2-m0)*u1]}-u2}*1000, the stacking density=(m1-m0) / (m4-m0)*1000, the stacking voidage=the stacking density / the apparent density*100%, results are calculated according to the formulas, concrete aggregate standing or soaking time can be greatly shortened, and detection timeliness is further improved.

The invention provides a comprehensive evaluation system and an evaluation method for urban spatial quality, which can be used for the evaluation of spatial quality in urban planning and design, architectural design and real estate development specialties. The evaluation system determines the core value of contemporary urban space through relevant theoretical research, and creatively establishes acomprehensive evaluation system and method of spatial quality according to Goffman's face-to-face communication theory model. The evaluation system comprises three main indexes: space capacity, accessibility, and the catalytic effect of space on user's face-to-face communication behavior, and comprises a plurality of sub-indexes and categories. An evaluation index is established for each system end attribute, and the comprehensive overall evaluation of the designated urban spatial quality is finally obtained through the calculation method layer by layer. The present invention also provides amethod for visualizing an evaluation result. This evaluation system can comprehensively reflect the quality characteristics of contemporary urban built-up environment space and guide the practical development of related fields.

The invention discloses an apparatus model for demonstrating a building safety monitoring system. The apparatus model for demonstrating a building safety monitoring system includes a dangerous building model, a dangerous building state monitoring module, a power supply module, a communication module and a main control circuit board, wherein the dangerous building state monitoring module, the power supply module, the communication module and the main control circuit board are arranged on the dangerous building model; an output end of the dangerous building state monitoring module is connected with an input end of the main control circuit board; an output end of the power supply module is connected with a power supply input end of the main control circuit board; the communication module is in communication connection with the main control circuit board; and the main control circuit board is in communication connection with a monitoring platform through the communication module. The apparatus model for demonstrating a building safety monitoring system can perform simulation continuous monitoring on the main indexes, such as inclination, non-uniform settlement and cracks of a building and timely capture the main characteristic information of change of properties of the building, and can send the monitoring data to a monitoring center in real time through a wireless mode, and then the monitoring center make a judgment and an early warning forecast for the integral stability of the building, and then the judgment and the early warning forecast are truly supplied to a user through a hand-held terminal (mobile phone) or a computer. Therefore, the apparatus model for demonstrating a building safety monitoring system has the advantages of being visual, being real-time, displaying dynamically, being small in volume, and being convenient to carry.

The invention belongs to the field of environmental ecology, which aims to perform quantitative evaluation on degree of swampiness of target lakes and provides an evaluation method of degree of swampiness based on annual sediment deposition. Taking water level and depth of lakes as main objects of study and a quantitative principle of degree of swampiness of lakes, synthetic judgment is processed by the method according to leading indicators such as annual water level which is of different degrees in years, maximum water level, water level-volume relationship, depth of water, average sediment input amount of lakes in years and deposition. The method can reflect the historical change regulation of lakes precisely and is significant for evaluation and prediction of degree of swampiness of lakes.