CN102231081A - Energy utilization state diagnosis method for process industrial equipment - Google Patents
Energy utilization state diagnosis method for process industrial equipment Download PDFInfo
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- CN102231081A CN102231081A CN 201110201386 CN201110201386A CN102231081A CN 102231081 A CN102231081 A CN 102231081A CN 201110201386 CN201110201386 CN 201110201386 CN 201110201386 A CN201110201386 A CN 201110201386A CN 102231081 A CN102231081 A CN 102231081A
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Abstract
Process industrial equipment serves as an analysis and diagnosis object, and an energy utilization state of the process industrial equipment is described through production parameters, energy efficiency parameters and operating parameters of the equipment. The method comprises the following steps of: in the process of operating the equipment, acquiring production process data of the equipment and determining the optimal energy utilization state; establishing an energy utilization state diagnosis tree according to expert knowledge, and comparing a real-time energy efficiency parameter with the optimal energy efficiency parameter; triggering diagnosis if a real-time energy utilization state of the equipment is lower than the optimal energy utilization state, reasoning according to the energy utilization state diagnosis tree, and giving reasons and recommended measures after the reasoning is finished. By the method, the energy utilization state of the equipment using fuel, power, heat and other energy in various process industries can be monitored and diagnosed, and the method has universality.
Description
Technical field
The present invention relates to process industry energy management and optimization field, particularly flow industrial equipment energy method for diagnosing status.
Background technology
If the reserved energy state is meant the energy utilization situation of a kind equipment its within battery limit in operational process that uses fuel, electric power and heating power equal energy source in the process industry.The situation of energy utilization usually characterizes with efficiency, i.e. effective quantity of energy of equipment utilization accounts for the ratio of equipment input total energy amount.Efficiency is relevant with equipment self character, service condition and operation, is the coefficient result of many factors.For equipment given in the production run, how from influencing each factor of efficiency, diagnose it with the existing problem of energy, search the means that improve efficiency, be very significant.
Energy efficiency management to equipment focuses mostly in calculating and the monitoring of the actual efficiency of equipment at present, and the efficiency computational methods of distinct device can be referring to relevant national standard or industry standard.In the design and the fabrication phase of equipment, demarcate indexs such as rated load, rated efficiency.Behind the equipment installation and operation, enterprise forms form by the actual efficiency of monitoring equipment, carries out accordingly using of equipment and can manage.The management method of this " results-driven " type that is a kind of is to establish the reserved energy administrative mechanism with what artificial core was carried out analysis and decision, and its actual effect depends on two factors: the level that at first is people's analysis; Next is people's a sense of responsibility.
Equipment is after actual installation is used, and often there are certain gap in efficiency that it is actual and rated efficiency, and this gap is generally owing to fuel characteristic, process conditions, equipment attrition, personnel operation etc. cause.Owing to affect efficiency factor complexity, usually can't determine to cause the reason of efficiency decline, perhaps will drop into a large amount of manpowers and search problem, but this analysis and solve problem that affects again simultaneously is ageing.
Along with the continuous rising of energy prices, strengthen with managing and realize the energy-saving and cost-reducing effective way that reduces production costs that becomes by technological means.In recent years, the continuous progress along with computer technology, data analysis and treatment technology, intelligent control technology also provides technical feasibility for the inline diagnosis and the analysis of production equipment.
Summary of the invention
The invention provides a kind of energy utilization state diagnosis method for process industrial equipment, can be according to the reason of state with energy diagnostic tree automatic analysis state with energy decline when state with energy descends, provide diagnostic result, provide in time for people find the efficiency decrease reason, accurately reference.
A kind of flow industrial equipment energy method for diagnosing status may further comprise the steps:
1) apparatus for establishing state with energy diagnostic tree, described state with energy diagnostic tree is state with energy is reduced this result and to cause setting up between this result's the reason and contact according to theory and/or production practices knowledge, described result and reason are referred to as event, and will be contacted between the described event by logical relation, and control the direction of described event searching; Described state with energy reduction refers to that real-time state with energy is less than optimum state with energy;
2) be stored in the database according to the definite optimum state with energy data that characterize optimum state with energy of the actual production data that comprise the state with energy data, and with the form of optimum state with energy data set;
Described with comprising manufacturing parameter, efficiency parameter and operating parameter by status data; Described manufacturing parameter comprises produces load, energy characteristics, raw material type, product hierarchy and quantity, and described efficiency parameter is the index of weighing with the energy state; Described operating parameter is used for manufacturing parameter is controlled, and reflects, influences simultaneously the efficiency parameter again;
Described optimum be the equipment optimum efficiency parameter that the efficiency parameter of each manufacturing parameter correspondence was taken place in normal course of operation with the energy state; Described optimum efficiency parameter comprises that energy utilization efficiency is the highest, or energy consumption is minimum; Described optimal operational parameters is meant the operating parameter of the equipment when optimum efficiency parameter takes place;
3) collecting device service data obtains representing the real-time state with energy data of real-time state with energy; The structure of described real-time state with energy data is identical with the structure of described optimum state with energy data;
4) real-time state with energy and optimum state with energy are compared, if state with energy is less than optimum state with energy in real time, then starts the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically search the reason that causes real-time state with energy to descend, and provide diagnostic result; If and/or state with energy is then upgraded optimum state with energy data set, namely with the current optimum state with energy data of current real-time state with energy data replacement greater than optimum state with energy in real time;
Described real-time state with energy is less than or greater than the efficiency parameter that efficiency parameter that optimum state with energy refers to described real-time state with energy is less than or greater than optimum state with energy.
Step 2) can adopt offline mode to determine to characterize the optimum state with energy data of optimum state with energy; Described offline mode is to derive the historical data of certain hour scope from historical data base, each observes the state with energy data in cycle in the scope between at this moment to find out equipment by off-line analysis, and/or deposit the state with energy data set in, and then determine optimum state with energy data, and form optimum state with energy data set.
Step 2) can also adopt online mode to determine to characterize the optimum state with energy data of optimum state with energy; Described online mode is to collect real time data, processes obtaining real-time state with energy data through data, and/or deposits the state with energy data set in, and create or upgrade optimum state with energy data set; The optimum state with energy data set of described establishment refers to, in current optimum state with energy data centralization not in the situation corresponding to the real-time optimum state with energy data of state with energy data, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data, form optimum state with energy data set; The optimum state with energy data set of described renewal refers to, under current optimum state with energy data centralization has situation corresponding to the real-time optimum state with energy data of state with energy data, if current real-time state with energy data optimum state with energy data more current than optimum state with energy data centralization are more excellent, then substitute current optimum state with energy data with current real-time state with energy data and deposit optimum state with energy data centralization in.
The optimum state with energy data set of described renewal can refer to: in the manufacturing parameter of the current real-time state with energy situation identical with the manufacturing parameter of current optimum state with energy, be in the identical situation of manufacturing parameter, if the efficiency parameter of current real-time state with energy greater than the efficiency parameter of the optimum state with energy under the current manufacturing parameter, then deposits optimum state with energy data centralization in current real-time state with energy data and replaces current optimum state with energy data.
The optimum state with energy data set of described renewal can also refer to: in the manufacturing parameter of the current real-time state with energy situation different from the manufacturing parameter of current optimum state with energy, be in the different situation of manufacturing parameter, the threshold value that a manufacturing parameter that is used for state with energy compares is set, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, manufacturing parameter according to current real-time state with energy, obtained the calculated value of state with energy data corresponding to manufacturing parameter therewith by interpolation method by optimum state with energy data set, if the efficiency parameter of current real-time state with energy greater than the efficiency parameter of described state with energy data computation value, is then added current real-time state with energy data to optimum state with energy data set as optimum state with energy data; Otherwise, inoperation or add described state with energy data computation value to optimum state with energy data set as optimum state with energy data; During greater than described threshold value, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy.
Described threshold value can be by the Euclidean distance between normalized manufacturing parameter definition, and the distance of the manufacturing parameter of current real-time state with energy and the manufacturing parameter of current optimum state with energy refers to the Euclidean distance between the normalized manufacturing parameter of current real-time state with energy and current optimum state with energy.
Step 4) can refer to: if the manufacturing parameter of current real-time state with energy is identical with the manufacturing parameter of current optimum state with energy, and the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy, then can start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result;
If and/or the manufacturing parameter of current real-time state with energy is different from the manufacturing parameter of current optimum state with energy, the threshold value that a manufacturing parameter that is used for state with energy compares can be set, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, obtain current optimum state with energy calculated value by interpolation method, if the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy calculated value, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result; If the efficiency parameter of current real-time state with energy greater than the efficiency parameter of current optimum state with energy calculated value, is then added current real-time state with energy data to optimum state with energy data centralization;
If and/or the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy then can be added current real-time state with energy data to optimum state with energy data centralization greater than described threshold value.
Described incident with energy condition diagnosing tree can be divided into top layer incident and the incident of one deck at least under it, described top layer incident is a trigger event, described trigger event comprises real-time with descending by state, and described top layer incident is got in touch by logical relation and the event establishment of one deck at least under it.
Described with can condition diagnosing its incident of one deck at least down of treetop layer incident can comprise the elementary event of representing basic reason, being in the bottom, and/or expression centre reason, be in the intermediate event between top layer incident and the elementary event.
The described diagnostic result that described state with energy diagnostic tree provides can comprise trigger event and triggered time, reason, diagnostic result explanation and/or suggestion and measure; And/or the reasoning process of checking the state with energy diagnostic tree in diagnostic result, and/or editor's diagnostic result is explained and literal and the preservation of suggestion and measure part; And/or the state with energy diagnostic tree is also exported diagnostic process and/or energy balance figure; Described diagnostic process is to identify Induction matrix in patterned state with energy diagnostic tree; Described energy balance figure is each input and output energy of describing the equipment within battery limit with figure and digital form.
Technique effect of the present invention
A kind of state with energy diagnostic method of the present invention, the reason that can descend according to state with energy diagnostic tree automatic analysis state with energy when state with energy descends provide diagnostic result, provides in time for people find the efficiency decrease reason, accurately reference.
The further scheme of the present invention is determined optimum state with energy data set by offline mode, and the optimum state with energy data in order to the optimum state with energy of storage sign provide judgement basis for diagnosing.
The further scheme of the present invention creates by online mode or upgrades optimum state with energy data set, and the optimum state with energy data in order to the optimum state with energy of storage sign provide judgement basis for diagnosing.Renewal with energy status data collection then provides the foundation for judging more accurately for optimum.
The further scheme of the present invention has provided a kind of preferred version that upgrades optimum state with energy, is suitable for the real-time state with energy data of contrast and optimum state with energy data under the manufacturing parameter same case.
The further scheme of the present invention has provided a kind of preferred version that upgrades optimum state with energy, and has introduced threshold value, is suitable for the real-time state with energy data of contrast and optimum state with energy data under the manufacturing parameter different situations.
The further scheme of the present invention has provided a kind of preferred threshold value by the definition of the Euclidean distance between normalized manufacturing parameter, can judge more accurately real-time with can status data with optimum with can status data, make the more realistic condition of production of judgement of passing threshold.
The further scheme of the present invention can also be in diagnostic procedure, is finding that real-time state with energy data are not recorded or when more excellent, upgrade optimum state with energy data, thereby realizing the renewal of optimum state with energy data set self and perfect.
The further scheme of the present invention provides the logical construction of state with energy diagnostic tree, so that diagnostic tree has tight logicality and can edit in the analyzing and diagnosing process, reversibility, can find accurately rapidly the reason that causes state with energy to descend.
The further scheme state with energy of the present invention diagnostic tree is made up of event and logical relation (or claiming gate), and wherein gate is connecting event and controlling the direction of event searching, and search procedure has been simulated technology and equipment technical specialist's diagnostic procedure.In the state with energy diagnostic tree, the various situations that cause state with energy to reduce there are corresponding elementary event, i.e. reason.When the end of diagnostic procedure arrival diagnostic tree, then resulting reason is the result of this diagnosis.This result presents to the user as the reason that efficiency reduces, and can provide diagnostic result comprehensive, logicization.
The further scheme of the present invention provides the particular content of diagnostic result, provides complete output for realizing the state with energy diagnostic method, can provide complete comprehensive state with energy diagnostic result to the engineering staff.
Description of drawings
Fig. 1 is the state with energy data instance.
Fig. 2 is the embodiment of optimum state with energy deterministic process.
Fig. 3 is state with energy diagnostic tree example.
Fig. 4 is the example of diagnostic result.
Embodiment
Details are as follows to the present invention for specific embodiment in conjunction with the accompanying drawings.
The present invention is based on all parameters relevant with energy efficiency of equipment and diagnose and analyze, for clarity sake, parameter is divided into three classifications, i.e. manufacturing parameter, efficiency parameter, operating parameter.For given equipment, can be by the state with energy of comprehensive, the definite description process industry various device of this three classes parameter, namely each state with energy data comprises manufacturing parameter, efficiency parameter and operating parameter totally three groups of data.Manufacturing parameter comprises produces load, energy characteristics, raw material type, product hierarchy and quantity etc., and it has determined the level that the efficiency parameter should have.The efficiency parameter is the index of weighing with the energy state, comprises intake, output energy, energy utilization efficiency, energy consumption etc.Operating parameter is used for manufacturing parameter is controlled, and comprises the technological process setting values such as flow, temperature, pressure of equipment within battery limit working medium, is the controlled quentity controlled variable that is used to satisfy manufacturing parameter, reflects, influences simultaneously the efficiency parameter again.In actual production process, manufacturing parameter usually is to import and immutable as extraneous, and operating parameter is main control measures, and the efficiency parameter is reflection manufacturing parameter and the coefficient result of operating parameter.
The valuator device state with energy needs one with reference to amount, i.e. optimum state with energy, and described optimum state with energy is the optimum efficiency parameter that efficiency parameter corresponding to equipment each manufacturing parameter in normal course of operation taken place.Optimum efficiency parameter can be meant that according to the efficiency parameter of selecting energy utilization efficiency is the highest, or energy consumption is minimum; Optimal operational parameters is meant the operating parameter of the equipment when optimum efficiency parameter takes place.Each is optimum with also all comprising manufacturing parameter, efficiency parameter and operating parameter totally three groups of data by status data.Optimum state with energy has been described the best state that equipment can reach in actual motion, be different from theoretical calculating and design objective, has actual reference significance.Optimum state with energy can be to choose from the state with energy tables of data, has the highest efficiency parameter.Also can be that people rule of thumb will think optimum state with energy data input.Optimum state with energy data are saved in optimum state with energy data set or the tables of data, and its data list structure is identical with the state with energy tables of data, sees Fig. 1.
Describe state with energy data and optimum state with energy data in detail in conjunction with Fig. 1: the equipment state with energy be one by manufacturing parameter, efficiency parameter and operating parameter totally three groups of data acquisition systems that data consist of.Convenience for storage can realize by data form, as Fig. 1.State with energy of each behavior wherein is made of the numeric data that characterizes three class parameters, is called the state with energy data.The state with energy data are to be stored in the tables of data shown in Figure 1 with the Data classification after certain " observation cycle " institute's acquisition process to equipment.The observation cycle is a time span, can be longer to slow process equipment, then should lack fast equipment, and its foundation of determining is the state with energy that should be able to reflect equipment.A principle is the settling time that time span is greater than device responds at least.
Process with the energy condition diagnosing is as follows:
1) apparatus for establishing is with setting by condition diagnosing.The state with energy diagnostic tree is made up of event and logical relation (or claiming gate), and wherein gate is connecting event and controlling the direction of event searching, and search procedure has been simulated technology and equipment technical specialist's diagnostic procedure.Described event comprises that state with energy reduces this result and the reason that causes this result.Described result can be called top layer event or trigger event; In the state with energy diagnostic tree, the various state with energy that cause are reduced the elementary event that this result has correspondence, i.e. reason.When diagnostic procedure arrives " leaf " node, i.e. the end of diagnostic tree, then resulting reason is the result of this diagnosis.This diagnostic result is presented to the user as the reason that efficiency reduces.In other words, with can condition diagnosing tree be will be with can state reducing this result and cause setting up between this result's the reason and get in touch according to theory and/or production practices knowledge, described result and reason are referred to as incident, and will be got in touch and be controlled the direction of described event searching between the described incident by logical relation, described with can state reduce be meant real-time with can state less than optimum with can state.As an embodiment, described with the condition diagnosing tree being tree, comprise described incident and logical relation thereof.Described state with energy diagnostic tree can be divided into top layer event and at least one deck event under it, and described top layer event is trigger event, and described trigger event comprises that real-time state with energy reduces, such as energy utilization efficiency reduction or energy consumption increase etc.; Described top layer event contacts by logical relation and at least one deck event establishment under it.The bottom of state with energy diagnostic tree is elementary event, namely causes the basic reason that state with energy reduces.The intermediate event that one deck or many levels can be arranged between trigger event and the elementary event.Described basic reason is meant the incident that can't find the next stage incident that causes its generation.Certainly, with the condition diagnosing tree being other structure or form, such as the form of chart, with the catalogue of linking relationship connection and form of file destination or the like.
2) determine the optimum state with energy data of the optimum state with energy of characterization device according to the actual production data that comprise the state with energy data, and store in the database with the form of data set.Optimum state with energy data set can comprise the form of tables of data, certainly also comprises other form, such as expressing optimum state with energy data set by catalogue file by a plurality of documents that linking relationship connects.
Describe the embodiment that determines optimum state with energy data in detail in conjunction with Fig. 2:
Mode one: offline mode
If the existing computer control system of equipment or its storage system and preserve the data relevant with state with energy only, then can gather the state with energy data by off-line: the historical data that from historical data base, derives the certain hour scope, each observes the state with energy data in cycle in the scope between at this moment to find out equipment by off-line analysis, and/or deposit the state with energy data set in, such as state with energy tables of data (as shown in Figure 1), and then definite optimum state with energy data, and form optimum state with energy data set, such as optimum state with energy tables of data (or the data set of alternate manner is such as expressing optimum state with energy data set by catalogue file by a plurality of documents that linking relationship connects).
Mode two: online mode
Collect real time data, process (take boiler as example, can by the method for GB/T10180, as mentioned above) obtain real-time state with energy data, and/or deposit in the state with energy tables of data through data.And create or upgrade optimum state with energy data set; The optimum state with energy data set of described establishment can refer to, in current optimum state with energy data centralization not in the situation corresponding to the real-time optimum state with energy data of state with energy data, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data, form optimum state with energy data set; The optimum state with energy data set of described renewal can refer to, under current optimum state with energy data centralization has situation corresponding to the real-time optimum state with energy data of state with energy data, if current real-time state with energy data optimum state with energy data more current than optimum state with energy data centralization are more excellent, then substitute current optimum state with energy data with current real-time state with energy data and deposit optimum state with energy data centralization in.Here described " correspondence " can be meant that the two has identical or close manufacturing parameter, or other corresponded manner.
Above-mentioned two situations are to upgrade the process of optimum state with energy data set, but be not limited to above-mentioned two situations, so long as be in outside the optimum state with energy data set or be higher than in the situation of the optimum state with energy under the identical manufacturing parameter in real-time state with energy data, the real-time state with energy data that this is new are added optimum state with energy data set to or are replaced that wherein the method for certain optimum state with energy data can.
For the online updating method, preferably be illustrated with following detailed description:
If the manufacturing parameter of current real-time state with energy is identical with the manufacturing parameter of current optimum state with energy, be in the identical situation of manufacturing parameter, if the efficiency parameter of current real-time state with energy greater than the efficiency parameter of the optimum state with energy under the current manufacturing parameter, then deposits optimum state with energy data centralization in current real-time state with energy data and replaces current optimum state with energy data.If the former energy utilization efficiency is greater than the latter, or the former energy consumption is less than the latter, can think that the former efficiency parameter is greater than the latter's efficiency parameter.
If the manufacturing parameter of current real-time state with energy is different from the manufacturing parameter of current optimum state with energy, be in the different situation of manufacturing parameter, the threshold value that a manufacturing parameter that is used for state with energy compares is set, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, manufacturing parameter according to current real-time state with energy, obtain current state with energy data computation value by optimum state with energy data set by interpolation method, if the efficiency parameter of current real-time state with energy is greater than the efficiency parameter of described current state with energy data computation value, then add current real-time state with energy data to optimum state with energy data set as optimum state with energy data, otherwise, inoperation or add described state with energy data computation value to optimum state with energy data set as optimum state with energy data; During greater than described threshold value, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy.Can certainly directly the manufacturing parameter of current real-time state with energy and the manufacturing parameter of current optimum state with energy be compared without threshold value; being equivalent in this case threshold value is zero; therefore this kind situation also belongs to above-mentioned situation with threshold value, also should be within protection scope of the present invention.
When comparing the efficiency parameter under the above-mentioned online mode, more preferably, can arrange one by the threshold value of the Euclidean distance definition of normalized manufacturing parameter, carry out the renewal of optimum state with energy tables of data by this threshold value.The distance of the manufacturing parameter of current real-time state with energy and the manufacturing parameter of current optimum state with energy refers to the Euclidean distance between the normalized manufacturing parameter of current real-time state with energy and current optimum state with energy.The calculating of described distance is the evolution of two dimension quadratic sums according to Pythagorean theorem under two-dimensional case, also is the evolution of quadratic sum under three-dimensional situation, under the situation of the n dimension of therefore deriving, also is the evolution of quadratic sum, and actual what express is the difference of two values.
Can certainly carry out by the threshold value of alternate manner the renewal of optimum state with energy tables of data, such as a number range.
Below be the embodiment of an online updating and diagnosis.
If the state with energy data are a, the threshold value of manufacturing parameter is that δ (characterizes the distance between the different manufacturing parameters, can adopt normalization data to calculate), the optimum state with energy nearest with current real-time state with energy is A, the example of aforesaid operations is described as follows:
1. a is A's
Outside, then a is added to optimum with the energy state;
2. a is A's
Within, a is identical with the manufacturing parameter of A, if the efficiency parameter of a is higher than the efficiency parameter of A, then replaces A with a---a is added to optimum with energy state, deletion A; If the efficiency parameter of a is lower than the efficiency parameter of A, then trigger diagnosis;
3. a is A's
Within, a is different with the manufacturing parameter of A, goes out an optimum with energy status data A ' by interpolation calculation, if the efficiency parameter of a is higher than the efficiency parameter of A ', then a is added to optimum with the energy state; If the efficiency parameter of a is lower than the efficiency parameter of A ', then trigger diagnosis;
4. 2. above-mentioned and 3. in, if the efficiency parameter of a is lower than the efficiency parameter of A or A ', but through artificial approval, also can generates new optimum state with energy, and add a to new optimum state with energy, keep A;
5. according to the real-time energy state variation situation of using of equipment, the user can artificially determine new optimum energy state at any time.
After overhaul of the equipments/transformation, performance and state with energy change greatly, former optimum state with energy is no longer suitable, for compare facilities maintenance/situation of change of equipment state with energy before and after transforming, overhaul/transform to a plurality of optimum state with energy of all previous preservation between maintenance/transformation last time from this, choose an optimum state with energy the highest, as this maintenance/improved optimum state with energy.A highest optimum state with energy refers to exist an optimum state with energy, and the optimum efficiency parameter under its each manufacturing parameter is the highest.
3) collecting device service data calculates to characterize the real-time state with energy data of real-time state with energy.Take boiler as example, obtain the efficiency parameter by GB/T10180, manufacturing parameter and the operating parameter with this moment forms current real-time state with energy data again.The data structure of state with energy is identical with the data structure of described optimum state with energy in real time.
4) periodically or randomly real-time state with energy and optimum state with energy are compared.The comparison of the efficiency parameter that relatively refers to described real-time state with energy of described real-time state with energy and optimum state with energy and the efficiency parameter of optimum state with energy.
If state with energy is less than optimum state with energy in real time, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically search the reason that causes state with energy to descend, and provide diagnostic result.
If state with energy then can be upgraded optimum state with energy data set, namely with the current optimum state with energy data of current real-time state with energy data replacement greater than optimum state with energy in real time; Can not operate yet.
Downward trend occurs if find real-time state with energy, then carry out the state with energy diagnosis according to the state with energy diagnostic tree, automatically search the reason that causes its downward trend or decline, and provide diagnostic result.Therefore also can descend with described real-time state with energy comprise real-time state with energy and downward trend occurs, descend or the decline flex point occurs such as energy utilization efficiency, or energy consumption rises or rising flex point etc. occurs and all can be called real-time state with energy and descend.
Described real-time state with energy is less than or greater than the efficiency parameter that efficiency parameter that optimum state with energy refers to described real-time state with energy is less than or greater than optimum state with energy.
The concrete enforcement of step 4) can be explained by following description:
If the manufacturing parameter of current real-time state with energy is identical with the manufacturing parameter of current optimum state with energy, and the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result;
If the manufacturing parameter of current real-time state with energy is different from the manufacturing parameter of current optimum state with energy, arrange one for the threshold value of the comparison of the manufacturing parameter of state with energy, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, obtain current optimum state with energy calculated value by interpolation method, if the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy calculated value, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result; If the efficiency parameter of current real-time state with energy greater than the efficiency parameter of current optimum state with energy calculated value, is then added current real-time state with energy data to optimum state with energy data centralization;
If the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy greater than described threshold value, is then added current real-time state with energy data to optimum state with energy data centralization.
Describe the structure of state with energy diagnostic tree in detail in conjunction with Fig. 3:
Described incident with energy condition diagnosing tree is divided into top layer incident and the incident of one deck at least under it, ground floor with energy condition diagnosing tree is that efficiency parameter reduction incident is the top layer incident, or title trigger event, the second layer is that those operating parameters that the most directly show the variation of efficiency parameter are divided into some incidents, each incident and ground floor incident are logical ORs, with relation, the 3rd layer is respectively other operating parameter that the most directly has influence on to be divided into some incidents again under above-mentioned each incident, each incident and second layer incident are logical ORs, with relation, by that analogy, the incident of the lowermost layer of each logic branch is basic reason, after triggering diagnosis, according to searching for by the condition diagnosing tree, find reasons at different levels and/or basic reason.Trigger diagnosis when state with energy reduces, according to the reasoning of state with energy diagnostic tree, equipment dissimilar, different purposes have different state with energy diagnostic trees.
Can as trigger event, be placed on the top layer of state with energy diagnostic tree with " reduction of efficiency parameter ", lowermost layer is elementary event, namely causes " basic reason " that state with energy reduces, and other parameters are called intermediate event, reason in the middle of can representing.With the intermediate event in the energy condition diagnosing tree ground floor is the factor that causes the efficiency parameter to reduce, and the intermediate event in the second layer is the factor that causes the ground floor incident to take place, by that analogy, and until elementary event.
The mode that is similar to this diagnostic tree has a lot, therefore also can otherwise express with setting by condition diagnosing, such as the form of chart, with the catalogue of linking relationship connection and form of file destination or the like.
Describe diagnostic result in detail in conjunction with Fig. 4:
If state with energy is lower than optimum state with energy in real time, namely the real-time energy efficiency parameter is lower than optimum efficiency parameter, then triggers the state with energy diagnosis, finds out the reason that causes state with energy to reduce according to the state with energy diagnostic tree, the output diagnostic result.Diagnostic result can comprise trigger event and triggered time, reason (comprising basic reason and/or middle reason), diagnostic result explanation and suggestion and measure.In diagnostic result, can check the reasoning process of state with energy diagnostic tree, can edit the literal of diagnostic result explanation and suggestion and measure part, preserve then, can store like this diagnostic procedure of whole state with energy, comprise real-time state with energy, optimum state with energy, trigger event, diagnostic result explanation and suggestion and measure, to recollecting of event.Output diagnostic result, diagnostic process, and energy equilibrium figure, wherein diagnostic result comprises trigger event, trigger event, diagnostic result explanation and suggestion and measure; Diagnostic process is with identifying the reasoning path in the condition diagnosing tree patterned; Energy equilibrium figure is each input and output energy of describing the equipment within battery limit with figure and digital form.
The present invention adopts hardware and software platform design and OO method for designing, and device object is with the patterned way configuration, and attribute and method in the object create simultaneously.
Should be pointed out that the above embodiment can make those skilled in the art more fully understand the present invention, but do not limit the present invention in any way.Therefore; although this instructions has been described in detail the present invention with reference to drawings and Examples; but; those skilled in the art are to be understood that; still can make amendment or be equal to replacement the present invention; and all do not break away from the technical scheme and the improvement thereof of the spirit and scope of the present invention, and it all should be encompassed in the middle of the protection model state of patent of the present invention.
Claims (10)
1. a flow industrial equipment may further comprise the steps with can method for diagnosing status:
1) apparatus for establishing state with energy diagnostic tree, described state with energy diagnostic tree is state with energy is reduced this result and to cause setting up between this result's the reason and contact according to theory and/or production practices knowledge, described result and reason are referred to as event, and will be contacted between the described event by logical relation, and control the direction of described event searching; Described state with energy reduction refers to that real-time state with energy is less than optimum state with energy;
2) be stored in the database according to the definite optimum state with energy data that characterize optimum state with energy of the actual production data that comprise the state with energy data, and with the form of optimum state with energy data set;
Described with comprising manufacturing parameter, efficiency parameter and operating parameter by status data; Described manufacturing parameter comprises produces load, energy characteristics, raw material type, product hierarchy and quantity, and described efficiency parameter is the index of weighing with the energy state; Described operating parameter is used for manufacturing parameter is controlled, and reflects, influences simultaneously the efficiency parameter again;
Described optimum be the equipment optimum efficiency parameter that the efficiency parameter of each manufacturing parameter correspondence was taken place in normal course of operation with the energy state; Described optimum efficiency parameter comprises that energy utilization efficiency is the highest, or energy consumption is minimum; Described optimal operational parameters is meant the operating parameter of the equipment when optimum efficiency parameter takes place;
3) collecting device service data obtains representing the real-time state with energy data of real-time state with energy; The structure of described real-time state with energy data is identical with the structure of described optimum state with energy data;
4) real-time state with energy and optimum state with energy are compared, if state with energy is less than optimum state with energy in real time, then starts the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically search the reason that causes real-time state with energy to descend, and provide diagnostic result; If and/or state with energy is then upgraded optimum state with energy data set, namely with the current optimum state with energy data of current real-time state with energy data replacement greater than optimum state with energy in real time;
Described real-time state with energy is less than or greater than the efficiency parameter that efficiency parameter that optimum state with energy refers to described real-time state with energy is less than or greater than optimum state with energy.
2. state with energy diagnostic method according to claim 1 is characterized in that step 2) adopt offline mode to determine to characterize the optimum state with energy data of optimum state with energy; Described offline mode is to derive the historical data of certain hour scope from historical data base, each observes the state with energy data in cycle in the scope between at this moment to find out equipment by off-line analysis, and/or deposit the state with energy data set in, and then determine optimum state with energy data, and form optimum state with energy data set.
3. state with energy diagnostic method according to claim 1 and 2 is characterized in that step 2) adopt online mode to determine to characterize the optimum state with energy data of optimum state with energy; Described online mode is to collect real time data, processes obtaining real-time state with energy data through data, and/or deposits the state with energy data set in, and create or upgrade optimum state with energy data set; The optimum state with energy data set of described establishment refers to, in current optimum state with energy data centralization not in the situation corresponding to the real-time optimum state with energy data of state with energy data, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data, form optimum state with energy data set; The optimum state with energy data set of described renewal refers to, under current optimum state with energy data centralization has situation corresponding to the real-time optimum state with energy data of state with energy data, if current real-time state with energy data optimum state with energy data more current than optimum state with energy data centralization are more excellent, then substitute current optimum state with energy data with current real-time state with energy data and deposit optimum state with energy data centralization in.
4. state with energy diagnostic method according to claim 3, it is characterized in that, the optimum state with energy data set of described renewal refers to: in the manufacturing parameter of the current real-time state with energy situation identical with the manufacturing parameter of current optimum state with energy, be in the identical situation of manufacturing parameter, if the efficiency parameter of current real-time state with energy greater than the efficiency parameter of the optimum state with energy under the current manufacturing parameter, then deposits optimum state with energy data centralization in current real-time state with energy data and replaces current optimum state with energy data.
5. state with energy diagnostic method according to claim 3, it is characterized in that, the optimum state with energy data set of described renewal refers to: in the manufacturing parameter of the current real-time state with energy situation different from the manufacturing parameter of current optimum state with energy, be in the different situation of manufacturing parameter, the threshold value that a manufacturing parameter that is used for state with energy compares is set, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, manufacturing parameter according to current real-time state with energy, obtained the calculated value of state with energy data corresponding to manufacturing parameter therewith by interpolation method by optimum state with energy data set, if the efficiency parameter of current real-time state with energy greater than the efficiency parameter of described state with energy data computation value, is then added current real-time state with energy data to optimum state with energy data set as optimum state with energy data; Otherwise, inoperation or add described state with energy data computation value to optimum state with energy data set as optimum state with energy data; During greater than described threshold value, add current real-time state with energy data to optimum state with energy data centralization as optimum state with energy data in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy.
6. according to claim 5 with the energy method for diagnosing status, it is characterized in that, described threshold value is by the Euclidean distance between normalized manufacturing parameter definition, current real-time be meant with manufacturing parameter that can state and current optimum distance with manufacturing parameter that can state current real-time with can state and the Euclidean distance of current optimum between the normalized manufacturing parameter of energy state.
7. according to the described state with energy diagnostic method of one of claim 1 to 6, it is characterized in that, step 4) refers to: if the manufacturing parameter of current real-time state with energy is identical with the manufacturing parameter of current optimum state with energy, and the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result;
If and/or the manufacturing parameter of current real-time state with energy is different from the manufacturing parameter of current optimum state with energy, the threshold value that a manufacturing parameter that is used for state with energy compares is set, in the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy during less than described threshold value, obtain current optimum state with energy calculated value by interpolation method, if the efficiency parameter of current real-time state with energy is less than the efficiency parameter of current optimum state with energy calculated value, then start the state with energy diagnostic tree and carry out the state with energy diagnosis, automatically find out the reason that causes state with energy to descend, and provide diagnostic result; If the efficiency parameter of current real-time state with energy greater than the efficiency parameter of current optimum state with energy calculated value, is then added current real-time state with energy data to optimum state with energy data centralization;
If and/or the distance of the manufacturing parameter of the manufacturing parameter of current real-time state with energy and current optimum state with energy is then added current real-time state with energy data to optimum state with energy data centralization greater than described threshold value.
8. described with the energy method for diagnosing status according to one of claim 1 to 7, it is characterized in that, described incident with energy condition diagnosing tree is divided into top layer incident and the incident of one deck at least under it, described top layer incident is a trigger event, described trigger event comprises real-time with descending by state, and described top layer incident is got in touch by logical relation and the event establishment of one deck at least under it.
9. according to claim 8 with the energy method for diagnosing status, it is characterized in that, described with can condition diagnosing its incident of one deck at least down of treetop layer incident comprise the elementary event of representing basic reason, being in the bottom, and/or expression centre reason, be in the intermediate event between top layer incident and the elementary event.
10. according to the described state with energy diagnostic method of one of claim 1 to 9, it is characterized in that the described diagnostic result that described state with energy diagnostic tree provides comprises trigger event and triggered time, reason, diagnostic result explanation and/or suggestion and measure; And/or the reasoning process of checking the state with energy diagnostic tree in diagnostic result, and/or editor's diagnostic result is explained and literal and the preservation of suggestion and measure part; And/or the state with energy diagnostic tree is also exported diagnostic process and/or energy balance figure; Described diagnostic process is to identify Induction matrix in patterned state with energy diagnostic tree; Described energy balance figure is each input and output energy of describing the equipment within battery limit with figure and digital form.
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