30 results about "Management indicators" patented technology

Extended operand management indicators stored during initial program execution enable management and regulation of operand values and streamline their handling. Operand values are stored in new types of stores. Operand location management indicators indicate current operand value locations among various store types for selected operands. Indicated operand-forwarding policies for selected operands streamline forwarding of operand values from source instructions to value receiving target instructions. Indicated loop iterations of operand source instructions enable forwarding of operands over more than one loop iteration. Stride indicators indicate strides of program loop accesses to matrix operands. Inter-loop indicators enable forwarding of operand values from source loop instructions directly to target loop instructions. Constant or nearly constant operands are indicated to enable their storage in special caches. Operands used for cross-CPU serialization are indicated for special handling and storage in spin lock cache. Indicators of farthest back and farthest forward branches since operand last update are used to enhance the prediction of longer-range branch directions. Virtual predicate operand indicators streamline execution of densely branching program code. Stack operand indicators enable nullification of paired stack pointer increment-decrement operations to avoid serious operand serialization bottlenecks in very high issue rate machines.

A production plan is created so as to minimize risk of demand variations. Forecasted values of amounts of requests are entered for each different item of products, markets, dates, past accuracy of demand forecasts, and order achievements at the time when the plan is created. Scenario information is created in which assumable amounts of request for each different item of the products, markets, and dates and probabilities at which the amounts of requests agree with actual amounts of requests are defined. Management indexes are found from the amount of stockout and amount of stock calculated in each different scenario, based on the scenario information, target values of the management indexes, and information on strongpoints. An amount of production that maximizes the achievement ratios of the management ratios to their targets within the ranges of supplied materials and within the range of the production capacity is calculated by an optimization algorithm.

A method of verifying and analyzing energy efficiency ratio (EER) of an HVAC chiller unit in accordance with the present invention provides verification and analysis of HVAC chiller units to build daily steady-state data and non-steady state data out of field dynamic EER values and provides analysis of the steady-state data, based on selected integer temperatures and tenfold load factors in the annual scale that are subject to the dynamic changes in temperatures and load factors along with chiller seasonal operation to build monthly or seasonal running EER trend, and to determine-management index values for a period of time and to determine whether energy consumption meets specified criteria, as a basis of comparison of calculations, and resulting amplitude ratios between before and after the energy-saving improvement and of totally saved energy.

A master controller for medical staff management indicators has a central data collection and display facility located at a nurse's station or equivalent facility and includes any number of satellite devices located in examining rooms or the equivalent. Each satellite can respond to master controller polling by sending one of a multiplicity of possible messages that are received and processed to generate a displayed satellite status summary at the nurse's station. Interconnection between the nurse's station and the satellites preferably uses a single twisted pair of wires in a bus configuration compatible with bus standard RS-485. Data rates and message structure are selectable according to system size, environmental noise, and data confidence requirements.

An execution environment accommodating object-based software transparently monitors interactions with software objects to generate operational management information for managing programs executing at plural computers. Notifications are directed to a software manager in the form of events, which can additionally be provided to applications or user programs. The software manager can group the events into sets and derive various operational management metrics from them to provide an overall picture of a program's performance, including availability. A hierarchical arrangement feature facilitates gathering information for programs scattered over plural computers. An alert feature provides warnings if metrics fall outside a specified threshold. In addition, the alert feature can automatically subscribe to additional sets of events to dynamically select the information collected by the software manager. Since the operational management information is collected transparently by logic outside the objects, manual instrumentation of the program is unnecessary, and software management technology is made available to organizations without software management expertise.

A temperature management indictor having simple structure is provided, which, not containing a hazardous metal, especially mercury among others, is safe and excellently durable, especially durable against light and repetition of heating and cooling cycle, is capable of indicating specific temperature ranges by means of reversible color changes, and also is able, as need be, to indicate an arrival at a specific temperature by means of an irreversible color change. A temperature management indicator 10 comprises; a reversible temperature indicating member 14 including reversible temperature indicating pigment particles devoid of mercury, which reversibly undergoes color changes at a predetermined temperature, wherein in the reversible temperature indicating member 14, the reversible temperature indicating pigment particles contain an iron-containing complex compound and are dispensed to be dispersed in a resin thereof.

The invention discloses a management method and system for a cloud computing data center. The method comprises the steps that to-be-managed indexes determined by a user in the cloud computing data center and index data of the to-be-managed indexes are acquired; whether or not the index data is in an abnormal state is determined on the basis of a constructed abnormality detection model; and if theindex data is in the abnormal state, warning information of the to-be-managed indexes is output in a set mode. By means of the method, the abnormal state of the to-be-managed indexes can be accuratelydetected automatically on the basis of the abnormality detection model obtained through training learning, early warning notifying is quickly conducted, tedious operations that operation and maintenance personnel need to configure static thresholds for all to-be-managed indexes in a traditional surveillance warning system are avoided, and therefore the operation and maintenance management resource input for the cloud computing data center is reduced.

For planning a production plan which satisfies a plural number of target values of management indices, upon calculating out production amount, supply amount and / or transportation means of plural products, various kinds of target values of management indices and estrangement values thereof are set into restriction conditions when those restriction conditions are formulated into a linear programming problem, and then feasible production plan is calculated out, so that the estrangement between the management indices being calculated from executable solutions of the above-mentioned linear programming problems and the target values thereof comes to be minimal.

The invention relates to an indicator system generation method based on an entropy weight method. Based on the safety management indicator system of the chemical enterprise, the method researches reasonable improvement and updating on the basis of the original indicator system to construct a new indicator system. The basis of improvement is that the historical chemical accident cases act as the analysis data according to the irrationality of the data reverse analysis indicator weight. The entropy weight method is not the algorithm of a large number of sample data assignment, the entropy weightmethod is adopted to evaluate the sample quality to form the sample weight, the weight of the safety indicator system is reversely analyzed and calculated on the basis of the data and the indicator weight is appropriately adjusted and updated. Reasonable and necessary modification is made according to the actual situation so that continuous improvement of enterprise safety supervision and safetyevaluation can be promoted and the risk avoidance can be better performed.

The invention discloses an oil refining enterprise equipment reliability performance management assessment method comprising the following steps that a fault-free performance, maintainability, effective utilization, durability and economical performance of equipment or a system are comprehensively considered and measured; b an index algorithm is defined according to fault mode and hazard analysis, root cause analysis, reliability engineering theory and life cycle cost analysis; c an oil refining enterprise equipment reliability performance management assessment index system is formed on the basis of performing index calculation; and d the concrete reliability performance management indexes of dynamic equipment, static equipment, electrical equipment and instrument equipment are formulated by using the oil refining enterprise equipment reliability performance management assessment index system so that the operation reliability of the equipment or the system is comprehensively assessed. The state-of-health of the equipment can be timely, accurately, completely and quantitatively reflected so that the fault rate of the equipment can be reduced, the equipment reliability performance management level can be enhanced and the objective of reducing enterprise operation cost can be achieved.

The invention provides a method for constructing an index relational network. The method comprises the following steps: 1, collecting the data of all management indexes in the same period of time; 2, calculating the relational degree between two indexes of the management indexes, and outputting index pairs with a strong correlation; 3, testing the causal relationship between the two indexes within the index pairs, and giving the influence direction of relevance of the index pairs according to the causal relationship. According to the hospital management index relational network constructed by means of the method for constructing an index relational network, the index relational network can automatically locate the root index which causes an abnormality when an index is abnormal, the root cause of the abnormality can be traced when the abnormality occurs, and there is no need to manually sort out the cause of the abnormality according to service relationships. In addition, it can be predicted that the other indexes pointed to by the abnormal index may be abnormal according to the index relational network, and timely control and solution of more serious problems caused by the abnormality are conducted before they occur.

The invention discloses a virtual power plant multi-objective bidding control and optimization method based on dependent chance programming, comprising the following steps: determining the management indicators of a virtual power plant, and constructing a virtual power plant model according to the environmental indicators, customer satisfaction indicators and economic indicators; constructing a virtual power plant bidding model based on a dependent chance programming method and by taking the converter station charge and discharge power as a decision-making value and the actual output of a wind farm and the actual conversion demand of electric vehicle users as random variables; and carrying out multi-objective optimization of the virtual power plant bidding model based on a converter station charge and discharge power constraint, a converter station storage capacity constraint and an end-of-cycle power constraint, and determining the planned charge and discharge power of the electric vehicle converter station and the planned output of the virtual power plant after optimization. In view of the uncertainty of the wind power output and the conversion demand, the degree to which managers attach importance to the management indicators and the level at which the managers take risks can be effectively considered so as to formulate a power generation plan meeting the expectation as much as possible.

The invention discloses an industrial park terminal water treatment system assessment method. Firstly an industrial park terminal water treatment system assessment indicator system including technical indicators, environmental impact indicators, economic indicators and operation management indicators is constructed, then the subjective weight of each assessment indicator is determined by adopting an analytic hierarchy process and the objective weight of each assessment indicator is determined by adopting an entropy weight method, and the comprehensive weight of each assessment indicator is calculated by utilizing the mode of combination of the subjective weight and the objective weight. Secondly the evaluation standard of each indicator of the industrial park terminal water treatment system evaluation space is determined based on the fuzzy comprehensive evaluation theory, the membership function of each assessment indicator is determined, the fuzzy judgment matrix of each assessment indicator is constructed, and the assessment result of the terminal water treatment scheme of each industrial park is further calculated. The advantages and the disadvantages of the industrial park terminal water treatment technology can be rapidly and accurately assessed so that feasible suggestions can be provided for the existing industrial park terminal water treatment technology, and reference can be provided for selection of the new industrial park terminal water treatment technology.

The invention discloses a vehicle access passage management method, which is applied to a vehicle access passage and which includes the steps of when vehicles pass through an exiting / entering passage,acquiring time parameters for the vehicles to passing through the exiting / entering passage; calculating based on the time parameters to obtain vehicle exiting / entering passage management indexes; analyzing the management indexes, and generating vehicle exiting / entering passage management recommendations according to the analytical results. The invention also discloses vehicle passage management equipment and a computer-readable storage medium. The vehicle access passage management method, the vehicle passage management equipment and the computer-readable storage medium have the advantages that true vehicle entering / exiting conditions can be scientifically reflected for a vehicle passage and vehicle entering / exiting management level can be increased accordingly.

The invention relates to a statistical analysis method, in particular to a statistical analysis method based on education correlation and a cloud platform system, comprising the following steps: defining a problem correlation index; preparing a problem management index data collection tool; collecting related data; sorting to remove invalid data; analyzing the data; outputting an analysis report;summarizing an effective improvement scheme; based on education correlation statistical analysis, the method has the following advantages: 1, a statistical analysis tool is more specific; secondly, the statistical analysis range is wider and more comprehensive; thirdly, the output report and urging improved scheme is more professional; and fourthly, a professional monitoring tool is provided for collecting education big data. Through the application of the education-based association statistical analysis method, the problem influencing the education quality can be discovered and solved more easily.

The invention discloses an optimization method for the optimum output of a hydropower plant unit, which is obtained based on the research on the standard output curve of the hydropower plant. Taking the standard output curve of the current water head unit as the reference standard for unit load adjustment, the current unit output status can be visually observed, and the unit output can be adjusted in real time to make it reach the best state, which provides a basis for unit optimization scheduling, cost reduction and efficiency increase, and can As a production management index of unit output efficiency.

One embodiment of the invention discloses an analysis and evaluation system and method based on reusable evaluation resource construction. The system comprises an evaluation application management module, an index system construction module, an evaluation index association module, a test evaluation scheduling module and an evaluation result display module. The evaluation application management module is used for managing different evaluation applications; the index system construction module is used for constructing an evaluation index system tree; the evaluation index association module is used for associating each index node in the evaluation index system tree with a certain index in an evaluation index library; the test evaluation scheduling module is used for loading and obtaining evaluation element information, scheduling evaluation resource data according to input test data and initialization parameters, completing evaluation calculation and obtaining an evaluation result; and the evaluation result display module is used for carrying out visual chart display on the evaluation result and automatically generating an evaluation report according to the evaluation result.

The invention discloses a radio and television information security evaluation system, comprising: an initial module, used to obtain the scores of each designated evaluation object under each preset evaluation content; a data merging module, used to adopt a weighted summation algorithm, Use the scores of each evaluation content to calculate the scores of each evaluation point corresponding to each evaluation content, use the scores of each evaluation point to calculate the corresponding scores of each evaluation element, and use the scores of each evaluation element to calculate the corresponding scores of each basic index; the basic index integration module , used to classify each basic index and carry out weighted summation respectively to obtain the strategic index score, management index score and technical index score of the evaluation object; the safety assurance degree calculation module is used to adopt the weighted summation algorithm and use the strategic index of the evaluation object Scores, management index scores, and technical index scores calculate the safety assurance degree of each evaluation object. The present invention can understand and grasp the status of radio and television information security from multiple angles and in all directions.

The invention discloses a livable city management system. The system comprises a data acquisition unit used for acquiring index data, a livable level management unit used for processing, calculating and analyzing the index data, an output and control unit used for displaying the data and charts and detecting and managing the whole system, and a communication unit responsible for information exchange and transfer between the other units. A suitable management index system is established. Through reasonable layout of sensors in the data acquisition unit, the accuracy of measurement can be improved. The livable level management unit quantitatively calculates and analyzes the index data and identifies bottleneck factors, which makes the conclusion more scientific, accurate, intuitive and clear. The output and control unit reminds users to notify abnormal indexes and take timely management measures. Therefore, the livable level of cities is improved, and a more comfortable living environment is provided for people.

The invention belongs to the technical field of block chains, and particularly relates to a data acquisition classification and grading maturity index accounting method, a block chain system and a data acquisition classification and grading maturity evaluation method. The data acquisition classification and grading maturity index accounting method comprises the steps that firstly, an identification capability index and a management index in data acquisition classification and grading maturity indexes are obtained; based on the block chain network, a consensus request is initiated for the obtained identification capability index and the management index, signature is performed after consensus is completed, uplink storage is performed on the identification capability index and the management index after consensus is completed, and the obtained identification capability index and the management index are consensus through a block chain, so that the extracted maturity index is higher in credibility and higher in accuracy, and the fairness of an evaluation result can be guaranteed. The identification capability index and the management index which are subjected to consensus are stored on the block chain, so that the identification capability index and the management index cannot be modified, the identification capability index and the management index can be called and used each time of evaluation, the identification capability index and the management index do not need to be additionally established, and the evaluation workload is greatly reduced.

A method and system for processing piped gas data based on user levels provided by the present invention, the method specifically includes: classifying the piped gas users in advance according to the scale and number of piped gas users; obtaining the data of different types of piped gas users According to the actual gas usage, the different types of piped gas users are classified according to the corresponding preset gas management indicators; according to the different levels of piped gas users, the corresponding preset piped gas data processing methods are adopted and output . The present invention classifies users according to the scale and quantity of piped gas customers, and at the same time selects multiple representative management indicators for each type of users to further classify, and sets the most suitable differentiated piped gas data processing method according to different levels of users. Improve the service efficiency of gas management workers, reduce the hidden dangers of gas service safety, and provide convenience for gas users.

The invention discloses a virtual power plant multi-objective bidding control and optimization method based on dependent chance programming, comprising the following steps: determining the management indicators of a virtual power plant, and constructing a virtual power plant model according to the environmental indicators, customer satisfaction indicators and economic indicators; constructing a virtual power plant bidding model based on a dependent chance programming method and by taking the converter station charge and discharge power as a decision-making value and the actual output of a wind farm and the actual conversion demand of electric vehicle users as random variables; and carrying out multi-objective optimization of the virtual power plant bidding model based on a converter station charge and discharge power constraint, a converter station storage capacity constraint and an end-of-cycle power constraint, and determining the planned charge and discharge power of the electric vehicle converter station and the planned output of the virtual power plant after optimization. In view of the uncertainty of the wind power output and the conversion demand, the degree to which managers attach importance to the management indicators and the level at which the managers take risks can be effectively considered so as to formulate a power generation plan meeting the expectation as much as possible.

The invention relates to the technical field of air traffic control safety management, in particular to a controller safety performance management index evaluation method, which comprises the following steps of: establishing a hierarchical structure by using an uncertain analytic hierarchy process according to a relationship among index factors of air traffic control operation safety management; calculating the interval weight of each evaluation index by using the interval number judgment matrix; determining the final weight of each index according to a set value statistics principle; and constructing a key evaluation index system according to the evaluation indexes at all levels and the key evaluation index weights, and completing gray multi-level comprehensive evaluation of the performance indexes. When the interval judgment number matrix is used for calculation, indexes of the same layer are compared, an uncertain judgment matrix is established, then a needed weight vector is obtained through consistency approximation of the interval judgment matrix, and finally the interval weight is determined through the error transfer theory. According to the index evaluation method, the safety performance level of the controller can be objectively reflected, evaluated and verified, and a decision basis is provided for safety performance evaluation of an air traffic control operation unit.

Provided is a flow computing apparatus which includes: a first computation task; a second computation task; and an access controller. The first computation task includes a flow rate computer configured to compute a flow rate of a fluid from sensor data indicating a state of the fluid, and a transaction information generator configured to generate transaction information indicating the flow rate ofthe fluid. The second computation task includes a management index computer configured to compute a management index related to supply of the fluid on the basis of at least a part of the sensor dataor index values computed during the course of the computation by the flow rate computer, and the access controller is configured to restrict at least a change in a function of the first computation task.

The invention provides a classification and supervision method for disinfection product manufacturing enterprises and a related device, and the method comprises the steps of firstly obtaining the production index data and the management index data of the disinfection product manufacturing enterprises; obtaining the production scores of the disinfection product production enterprises through a production index evaluation model obtained through training and based on the production index data; obtaining the management scores of the disinfection product manufacturing enterprises through a management index evaluation model obtained through training and based on the management index data; based on the production scores and the management scores, obtaining the comprehensive scores of the disinfection product production enterprises; classifying the disinfection product manufacturing enterprises according to the comprehensive scores, obtaining the classification results, and generating the supervision information based on the classification results, and finally, outputting the supervision information and the classification results, so that the enterprise classification accuracy is improved, and the enterprise supervision efficiency is further improved.

The invention provides an integrated management method and system serving enterprise development planning. The method comprises the steps of obtaining first order information of a first client; obtaining first management index information of the first enterprise according to the first order information; obtaining first benefit information of the first enterprise according to the first management index information and the first order information; obtaining preset benefit threshold information; judging whether the first benefit information meets preset benefit threshold information or not; whenthe preset benefit threshold information is satisfied, obtaining first demand technical information according to the first order information; obtaining current research and development technology information of the first enterprise; judging whether the current research and development technology information can meet the first demand technology information or not; if the first demand technical information can be met, obtaining first instruction information; and determining to receive the first order of the first customer according to the first instruction information, thereby achieving the technical effect of achieving the excellent development goal of the manufacturing industry.