CN105278494A - System monitoring apparatus and method - Google Patents

Abstract

The invention discloses a system monitoring apparatus and a method. The system monitoring apparatus in the embodiment comprises a data collection unit that collects a first data set obtained from the monitored system and judged to represent the state of the system and a second data set obtained from the system; a calculating unit that calculates an index related to the state of the system based on the first data set and the second data set.

Description

System monitoring device and method

Technical field

Disclosed embodiment relates to a kind of system monitoring device and method, more particularly, relates to a kind of diagnostic system state and the technology of in addition indexing.

Background technology

Along with the development of ICT (information and communication technology), for polytype sensor being arranged in buildings and the demand controlling the service of device in buildings based on sensor values significantly increases.The state of the system providing these to serve can be monitored based on sensor values.Usually, such system monitoring is along with judging that whether system is normal or defect has appearred in system.

But existing system monitoring method is for detecting that defect potential in system is not useful.This is because in general the situation that defect occurs is just informed user by existing method, and sets defensive critical value, for only may more abnormal possibility just judging to there occurs this situation according to system.In addition, for the system that complexity is high, dichotomy as above judges to be difficult to represent gratifying performance.Therefore, a kind of method carrying out the improvement of diagnostic system state by monitoring system as above is needed.

Summary of the invention

Disclosed embodiment provides a kind of system monitoring device and method.

According to exemplary embodiment of the present invention, a kind of system monitoring device is provided, comprise: data acquisition unit, be configured to collection and obtain and the first data set being judged as the state representing described system and the second data set obtained from described system from monitored system; Computing unit, is configured to utilize described first data set and described second data set to calculate the index be associated with the state of described system.

Described first data set can be judged as and represent that the state of the described system being in very first time point is in the data set of normal condition or defect state.

Described index can comprise the basic status desired value be associated with the state of the described system being in the second time point.

Described index can comprise with across the operation state desired value be associated to the state of the described system of the time interval of described second time point from the time point prior to described second time point.

Described computing unit can be configured to calculate described operation state desired value by the basic status desired value of multiple time point, and each in the basic status desired value of described multiple time point can be associated with the state of the described system of the time point be in described time interval.

Described system can comprise multiple lower system, and described index can comprise the subordinate's state index value be associated with the state of in the described multiple lower system being in described second time point.

Described computing unit can be configured to calculate described subordinate state index value by the basic status desired value of multiple lower system, and each in the basic status desired value of described multiple lower system can be associated with the state of in the described multiple lower system being in described second time point.

Described subordinate state index value can be the minimum value in the basic status desired value of described multiple lower system.

Described system monitoring device also can comprise: boundary element, is configured to described index to be shown in user interface.

Described system can comprise multiple lower system, described computing unit also can be configured to the index calculating multiple lower system, described boundary element can be configured in response to receiving user's input and will be shown in described user interface at least partially in the index of described multiple lower system, and the state of the lower system that each in the index of described multiple lower system can be corresponding with described multiple lower system is associated.

Described boundary element also can be configured to can with the form highlighted to show at least one in described multiple lower system.

Described computing unit also can be configured to calculate the similar degree between described first data set and described second data set, described system monitoring device also can comprise: identifying unit, is configured to judge that described second data set represents the abnormal sign state of described system, described normal condition or described defect state based on the critical value be associated with described first data set and described similar degree.

Described computing unit can be configured to calculate described index by described similar degree.

Described first data set can comprise multiple first sensor values that multiple sensors of arranging by being associated with described system are measured, and described second data set can comprise multiple second sensor valuess measured by described multiple sensor.

Described computing unit also can be configured to calculate for each contribution degree in described multiple sensor of described similar degree when described second data set is judged as and represents described defect state or described abnormal sign state.

Described identifying unit also can be configured to select in described multiple sensor one as check object sensor based on the described contribution degree calculated.

Described similar degree can represent according to the distance between described first data set of distance metric (distancemetric) set and described second data set.

When described distance is less than described critical value and described first data set is judged as the described normal condition of expression, described second data set can be judged as and represent described normal condition, when described distance is less than described critical value and described first data set is judged as the described defect state of expression, described second data set can be judged as and represent described defect state, when described distance is greater than described critical value, described second data set can be judged as and represent described abnormal sign state.

Described computing unit also can be configured to calculate by described distance the basic status desired value be associated with the state of the described system being in the second time point, when described first data set is judged as the described normal condition of expression, described basic status desired value can be calculated based on the decreasing function about described distance, when described first data set is judged as the described defect state of expression, described basic status desired value can be calculated based on the increasing function about described distance.

According to another exemplary embodiment, as the system monitoring method realized by calculation element, a kind of system monitoring method is provided, comprises the steps: that collection obtains and the first data set being judged as the state representing described system and the second data set obtained from described system from monitored system; Described first data set and described second data set is utilized to calculate the index be associated with the state of described system.

Described first data set can be judged as and represent that the state of the described system being in very first time point is in the data set of normal condition or defect state.

Described index can comprise the basic status desired value be associated with the state of the described system being in the second time point.

Described index can comprise with across the operation state desired value be associated to the state of the described system of the time interval of described second time point from the time point prior to described second time point.

The described step calculated can comprise: calculate described operation state desired value by the basic status desired value of multiple time point, and each in the basic status desired value of described multiple time point can be associated with the state of the described system of the time point be in described time interval.

Described system can comprise multiple lower system, and described index can comprise the subordinate's state index value be associated with the state of in the described multiple lower system being in described second time point.

The described step calculated can comprise: calculate described subordinate state index value by the basic status desired value of multiple lower system, and each in the basic status desired value of described multiple lower system can be associated with the state of in the described multiple lower system being in described second time point.

Described subordinate state index value can be the minimum value in the basic status desired value of described multiple lower system.

Described system monitoring method also can comprise the steps: described index to be shown in user interface.

Described system can comprise multiple lower system, and described system monitoring method also can comprise the steps: the index calculating multiple lower system; Described user interface will be shown at least partially in the index of described multiple lower system in response to receiving user's input, wherein, each in the index of described multiple lower system can be corresponding with described multiple lower system the state of lower system be associated.

Described system monitoring method also can comprise the steps: can with the form highlighted to show at least one in described multiple lower system.

Described system monitoring method also can comprise the steps: to calculate the similar degree between described first data set and described second data set; Judge that described second data set represents the abnormal sign state of described system, described normal condition or described defect state based on the critical value be associated with described first data set and described similar degree.

Described system monitoring method also can comprise the steps: to calculate described index by described similar degree.

Described first data set can comprise multiple first sensor values that multiple sensors of arranging by being associated with described system are measured, and described second data set can comprise multiple second sensor valuess measured by described multiple sensor.

Described system monitoring method also can comprise the steps: to calculate for each contribution degree in described multiple sensor of described similar degree when described second data set is judged as and represents described defect state or described abnormal sign state.

Described system monitoring method also can comprise the steps: to select in described multiple sensor one as check object sensor based on the described contribution degree calculated.

Described similar degree can represent according to the distance between described first data set of distance metric set and described second data set.

When described distance is less than described critical value and described first data set is judged as the described normal condition of expression, described second data set can be judged as and represent described normal condition, when described distance is less than described critical value and described first data set is judged as the described defect state of expression, described second data set can be judged as and represent described defect state, when described distance is greater than described critical value, described second data set can be judged as and represent described abnormal sign state.

Described system monitoring method also can comprise the steps: to calculate by described distance the basic status desired value be associated with the state of the described system being in the second time point, when described first data set is judged as the described normal condition of expression, described basic status desired value can be calculated based on the decreasing function about described distance, when described first data set is judged as the described defect state of expression, described basic status desired value can be calculated based on the increasing function about described distance.

According to another exemplary embodiment of the present invention, a kind of system monitoring device is provided, comprise: computing unit, be configured to obtain system state index, described system state index comprise the basic status desired value that is associated with the state temporally put of monitored system and comprise in the operation state desired value be associated with the temporally interval state of described system and the subordinate's state index value be associated with the state temporally put of the specific lower system of described system at least one; Boundary element, is configured to described system state index to be shown in user interface.

Described basic status desired value can represent the state of the described system being in particular point in time, described operation state desired value can represent that across from the time point prior to described particular point in time to the state of the described system of the time interval of described particular point in time, described subordinate state index value can represent the state of the described specific lower system being in particular point in time.

Described computing unit can be configured to utilize the basic status desired value of multiple time point to obtain described operation state desired value, and each in the basic status desired value of described multiple time point can be associated with the state of the described system of the time point be in described time interval.

Described computing unit can be configured to utilize the basic status desired value of multiple lower system to obtain described subordinate state index value, described system can comprise multiple lower system, described multiple lower system can comprise described specific lower system, and each in the basic status desired value of described multiple lower system can be associated with the state of in the described multiple lower system being in described particular point in time.

Described subordinate state index value can be the minimum value in the basic status desired value of described multiple lower system.

Described system can comprise multiple lower system, described multiple lower system can comprise described specific lower system, described computing unit also can be configured to the system state index obtaining multiple lower system, each in the system state index of described multiple lower system can be corresponding with described multiple lower system the state of lower system be associated, described boundary element can be configured to will be shown in described user interface at least partially in the system state index of described multiple lower system.

Described boundary element also can be configured to the form highlighted, at least one in described multiple lower system can be shown in described user interface.

According to another exemplary embodiment of the present invention, a kind of system monitoring method is provided, comprise the steps: to obtain system state index, described system state index comprise the basic status desired value that is associated with the state temporally put of monitored system and comprise in the operation state desired value be associated with the temporally interval state of described system and the subordinate's state index value be associated with the state temporally put of the specific lower system of described system at least one; Described system state index is shown in user interface.

Described basic status desired value can represent the state of the described system being in particular point in time, described operation state desired value can represent that across from the time point prior to described particular point in time to the state of the described system of the time interval of described particular point in time, described subordinate state index value can represent the state of the described specific lower system being in particular point in time.

The step of described acquisition can comprise: utilize the basic status desired value of multiple time point to obtain described operation state desired value, and each in the basic status desired value of described multiple time point can be associated with the state of the described system of the time point be in described time interval.

The step of described acquisition can comprise: utilize the basic status desired value of multiple lower system to obtain described subordinate state index value, wherein, described system can comprise multiple lower system, described multiple lower system can comprise described specific lower system, and each in the basic status desired value of described multiple lower system can be associated with the state of in the described multiple lower system being in described particular point in time.

Described subordinate state index value can be the minimum value in the basic status desired value of described multiple lower system.

Described system can comprise multiple lower system, described multiple lower system can comprise described specific lower system, described system monitoring method also can comprise the steps: the system state index obtaining multiple lower system, each in the system state index of described multiple lower system can be corresponding with described multiple lower system the state of lower system be associated, described system monitoring method also can comprise the steps: will to be shown in described user interface at least partially in the system state index of described multiple lower system.

Described system monitoring method also can comprise the steps: with the form highlighted, at least one in described multiple lower system can be shown in described user interface.

According to exemplary embodiment, provide a kind of computer-readable recording medium stored for performing the computer program of any one in described method.

According to exemplary embodiment, a kind of system monitoring device is provided, comprise: database, be configured to storage first data set, described first data set to be acquired from monitored system at very first time point and to comprise the first sensor value of state representing the described system being in point of the described very first time; Data acquisition unit, is configured to collection second data set, and second time point of described second data set after described very first time point is acquired from described system and comprises the second sensor values; Identifying unit, judges the state of described system at described second time point based on the similar degree between described first data set and described second data set.

Described identifying unit can when described similar degree be greater than critical value, and the state based on the described system being in point of the described very first time judges that the state of the described system being in described second time point represents normal condition or defect state.

Described identifying unit when described similar degree is less than critical value, can judge the state representation defect state being in the described system of described second time point.According to specific embodiment, provide one not only can judge the whether normal still existing defects of monitored object system, and the method in this system generation potentiality defect or abnormal sign can be determined whether.

According to specific embodiment, even if represent that the data of the defect state of monitored object system and the situation of defect associated with it generation are not defined (such as, this system is not had the expert of detailed knowledge define), also can be that the state of this system is judged to be abnormal sign state by normal data by means of only the state representing monitored object system, thus can economic and monitoring operation objective system easily.

According to specific embodiment, the state of monitored object system can be pointed out effectively, and easily can identify the factor becoming the abnormal sign of this system or the reason of defect.

Accompanying drawing explanation

Fig. 1 illustrates the figure being furnished with the operating environment of system monitoring device according to exemplary embodiment.

Fig. 2 illustrates the figure shown according to the figure of exemplary embodiment display system state index.

Fig. 3 is the figure of the user interface illustrated according to exemplary embodiment.

Fig. 4 is for illustration of the figure that similar degree calculates and system state judges according to exemplary embodiment.

Fig. 5 illustrates the figure of the user interface according to exemplary embodiment.

Fig. 6 is the figure of the system monitoring process illustrated according to exemplary embodiment.

Fig. 7 is the figure of the system monitoring process illustrated according to exemplary embodiment.

Fig. 8 to Figure 10 is respectively the figure that the figure display showing different system state indexs according to exemplary embodiment is shown.

Symbol description:

110: system monitoring device

112: data acquisition unit

114: computing unit

116: identifying unit

118: boundary element

120: monitored object system

140: database

160: user's set

Embodiment

Below, with reference to accompanying drawing, the specific embodiment of the present invention is described.There is provided following detailed description to contribute to the comprehensive understanding of method, device and/or the system recorded in this manual.But this is only example, the present invention is not limited thereto.

When the present invention will be described, likely cause unnecessary confusion to purport of the present invention if thought to illustrating of known technology for the present invention, then description is omitted.In addition, term described later is the term considering that function in the present invention defines, and they may be different because of the intention of user, fortune user or convention etc.Therefore, to define it based on the content running through whole instructions.The term used in detailed description is only in order to describe embodiments of the invention, instead of restriction the present invention.Unless clearly distinguish use in addition, otherwise the statement of singulative comprised plural form.In this explanation, " to comprise " or the statement of " having " and so on refers to there is some characteristics, numeral, step, operation, key element, their part or combination, but should not be interpreted as getting rid of exist maybe may exist in addition other characteristics one or more, numeral, step, operation, key element, their part or combination.

Fig. 1 illustrates the operating environment being furnished with system monitoring device according to exemplary embodiment.

Exemplary operating environment 100 comprises system monitoring device 110, at least one monitored object system 120, database 140 and user's set 160.

Monitored object system 120 is configured to provide service (such as, intelligent management/control solution) to buildings, the facility that is arranged at device in such buildings or other types.Monitored object system 120 can comprise the multiple sensors (such as, temperature sensor, humidity sensor, jaw opening sensor etc.) being arranged in such facility.In addition, monitored object system 120 also can comprise the actuator for driving sensor, the controller etc. for control device.Monitored object system 120 can be provided to system monitoring device 110 by comprising by the data of the sensor values of sensor measurement.

System monitoring device 110 is configured to from monitored object system 120 and database 140 image data collection, and monitors monitored object system 120 based on the data set gathered.Each data set can comprise the sensor values by multiple sensor measurement.In several embodiments, system monitoring device 110 can realize or be contained in calculation element.Such calculation element can comprise more than one processor and can by the computer-readable recording medium of this processor access.Computer-readable recording medium can be arranged in inside or the outside of processor, and is connected with processor by known various ways.Computer-readable recording medium can store the executable order of computing machine.Processor can perform the order being stored in computer-readable recording medium.Such order can make calculation element execution according to the operation of exemplary embodiment when being performed by processor.

System monitoring device 110 judges the state of monitored object system 120 by the data set newly obtained from monitored object system 120.In several embodiments, system monitoring device 110 can judge that the new data set obtained represents certain state of the monitored object system 120 being in particular point in time, this state can be following any one.

-normal condition: monitored object system 120 is normal

-defect state: monitored object system 120 existing defects

-abnormal sign: monitored object system 120 shows abnormal sign

For convenience's sake, below can by represent the normal condition of the system of monitored object system 120 and so on data set, represent the defect state of this system data set and represent that the data set of abnormal sign state of this system is called " normal data ", " defective data " and " abnormal sign variable ".In addition, the judgement as above performed by system monitoring device 110 can be described as " system state judgement ".

System monitoring device 110 can utilize the data set (such as, being before judged as the data set of normal data or defective data) of the state being judged as the monitored object system 120 representing previous time point to judge new data set whether as normal data, defective data or abnormal sign variable.When new data set is judged as normal data or defective data, this data set can be used for the judgement for follow-up data collection equally.

The data set being judged as normal data or defective data can maintain by database 140 together with the system state represented by this data set.Such as, when certain data set is judged as normal data or defective data by system monitoring device 110 as mentioned above, this data set can be stored in database 140.As other examples, when certain data set is directly judged to be normal data (or being according to circumstances defective data) by the user of system monitoring device 110, also this data set can be stored in database 140.System state in order to the initial stage of system monitoring device 110 judges and may need such data set.In addition, after the data set being judged to be judged as (judging and point out user) abnormal sign variable by the system state of system monitoring device 110 is judged to be normal data or defective data by user, this data set can be stored in database 140 and judge for the follow-up system state of system monitoring device 110.Therefore, even if the defect state of system is not explicitly defined in advance, the state of monitored object system 120 also effectively can be judged.Even if user is not the expert of monitored object system 120 and only possesses some knowledge, such method also can make user diagnose state and/or the monitoring operation objective system 120 of monitored object system 120.

In addition, system monitoring device 110 can calculate based on from the new data set obtained of monitored object system 120 and the data set being judged as normal data or defective data before the system state index be associated with the state of monitored object system 120.The index calculated can be displayed on the user interface that user's set 160 provides.User can utilize such system state index effectively to identify the state of monitored object system 120.Such as, the graphic user interface of the figure comprised shown in Fig. 2 display 200 can be supplied to the user's set 160 of display device and so on by system monitoring device 110.Figure display 200 in Fig. 2 visually can present exemplary system state index.Figure display 200 can comprise the figure display (such as, figure display 210,220,230) of at least one in the desired value of the following stated.

basic status desired value

System state index can comprise the desired value being called as " basic status desired value ".Basic status desired value can be associated with the state of the monitored object system 120 being in particular point in time.Such as, basic status desired value can be set to value in suitable scope (supposing, 0 to 100%) to represent the current state of monitored object system 120.Such as, the basic status desired value of 10% and the basic status desired value of 90% can imply that the abnormal work of monitored object system 120 and monitored object system 120 are at normal operation respectively.Accordingly, user easily can diagnose out the state of monitored object system 120, and checks whether to break down in monitored object system 120 in the mode used if desired.

operation state desired value

System state index also can comprise other the desired value that can be called as " operation state desired value ".Operation state desired value can be associated with the state of the monitored object system 120 across special time interval.As mentioned above, basic status desired value can be set to the state of the monitored object system 120 representing current point in time, and operation state desired value can be set to represent the state across the monitored object system 120 of special time interval (such as, from previous time point to current point in time).Such as, the basic status desired value (that is, being associated with the state of the monitored object system 120 of the time point be in this time interval respectively) of each time point calculated respectively by each time point in time interval calculates operation state desired value.In view of this, even if the state of monitored object system 120 changes at certain time point, if but this change causes by runing normally (to be supposed, along with closing on of winter, boiler work in buildings), then for user, operation state desired value long-term change step by step and such operation state desired value can identify that monitored object system 120 is normally useful for work.

the desired value be associated with the state of the superior system comprising lower system

In several embodiments, operating environment 100 can comprise multiple monitored object system 120, and multiple monitored object system 120 can be the multiple lower system being contained in superior system.Such as, superior system can be regarded as corresponding with the buildings being furnished with sensor, each monitored object system 120 can be regarded as corresponding from the different device (such as, air conditioner, cooling tower, generator, boiler or heating heat exchanger) of the part be furnished with in described sensor.And then multiple monitored object system 120 can be classified as multiple superior system, multiple superior system can form a most superior system.Like this, most superior system can show as multiple stratum.Such as, as shown in Figure 3, be to be understood that most superior system represents by four stratum (from " stratum 1 " as most higher level stratum to " stratum 4 " of stratum of most subordinate).In this example, whole system can comprise three lower system in " stratum 2 " as stratum 1-system.Further, three lower system that can comprise in " stratum 3 " in these three stratum 2-systems.Similarly, one in these three stratum 3-systems can comprise three stratum 4-systems.

System monitoring device 110 can perform operation as above for each in multiple monitored object system 120.In addition, system monitoring device 110 can be provided for monitoring the bottom up approach (bottom-upapproach) of the superior system comprising multiple monitored object system 120.

Such as, system monitoring device 110 can calculate the system state index of following value as superior system.First, the basic status desired value of superior system can be calculated from the basic status desired value that multiple monitored object system 120 is respective.In addition, the basic status desired value of superior system that calculates respectively by the time point of monitoring in special time interval of system monitoring device 110 is to calculate the operation state desired value of superior system.And then system monitoring device 110 can calculate the desired value be associated with the state of in lower system (that is, multiple monitored object system 120).This desired value can be called as " subordinate's state index value ".Such as, by for each in lower system and the basic status desired value of each lower system calculated (that is, being associated with the state of in the lower system being in particular point in time respectively) calculates subordinate's state index value.Such subordinate's state index value, when being provided to user together with the basic status desired value of superior system and operation state desired value, makes user can monitor superior system and specific lower system disposable and convenient.Such as, system monitoring device 110 can calculate minimum value in the basic status desired value of lower system as subordinate's state index value.In this sense, this subordinate's state index value can be called as " the minimum state desired value " of superior system specially.When superior system comprises considerable lower system, user may be difficult to sense perhaps which lower system to have occurred defect at by means of only the basic status desired value of superior system.Such as, 99 in 100 monitored object systems 120 have basic status desired value 1 and all the other one when having basic status desired value 0, and average (99%) of these 100 basic status desired values can be used as the basic status desired value of superior system and is prompted to user.Therefore, the minimum state desired value (0%) of superior system can make user recognize to be necessary to carry out detailed trouble shooting.

Next, the user interface of the figure comprised in Fig. 2 display 200 can be supplied to user's set 160 by system monitoring device 110.As shown in Figure 2, figure display 200 can comprise basic status desired value, operation state desired value and the subordinate's state index value (such as, minimum state desired value) representing superior system respectively figures display 210, figure display 220 and figure display 230.According to several embodiment, the system state index of superior system can be presented at user interface by system monitoring device 110 initial stage, just the system state index of lower system is presented in user interface when receiving specific user's input (such as, selecting the mouse of figure display 200 to click).

Accordingly, even if user lacks about the professional knowledge of monitored object system 120, can according to be presented at user interface above-mentioned system state index and effectively grasp monitored object system 120 the state of each time point, monitored object system 120 each time interval state and there is the lower system of monitored object system 120 time its lower system in the state of each time point.As for illustration of example, illustrate respectively in Fig. 8 to Figure 10 according to exemplary embodiment show different system state indexs figure display.

Exemplarily, the figure display 800 in Fig. 8 comprises figure display 810,820,830.Figure display 810,820,830 represents the basic status desired value of monitored object system 120, operation state desired value and minimum state desired value respectively.With reference to Fig. 8, operation state desired value and minimum state desired value and basic status desired value do not have too large difference.Therefore, user can identify rapidly and need not suspect that the operation of monitored object system 120 changes or the specific lower system generation defect of monitored object system 120.

As another example, the figure display 900 in Fig. 9 comprises figure display 910,920,930.The basic status desired value that figure display 910 represents is not too high, and the operation state desired value that figure display 920 represents also has little value.Therefore, user can judge that the possibility that the factor that the operation of monitored object system 120 changes or deterioration and so on occurs monitored object system 120 occurs is high.Meanwhile, represent close to 0 minimum state desired value figure display 930 reminding user is above-mentioned intuitively possibilities and likely in the sign of the specific lower system generation defect of monitored object system 120.

As another example, the figure display 1000 in Figure 10 comprises figure display 1010,1020,1030.Figure display 1010 and figure display 1020 represent basic status desired value similar each other and operation state desired value respectively, and figure display 1030 represents very little minimum state desired value.Therefore, although the measurable monitored object system 120 of user is runed on the whole normally and do not experienced the change shown of operation, high in the possibility of the specific lower system existing defects of monitored object system 120.

Fig. 3 illustrates the user interface according to exemplary embodiment.

Exemplary user interface 300 is according to user's input or be provided to user's set 160 by system default from system monitoring device 110.As shown in Figure 3, user interface 300, for the most superior system of 4 stratum as above, comprises the figure display 311,321,322,323,331,332,333,341,342,343 of the desired value calculated by system monitoring device 110.The figure display 311 of the system state index of the most superior system of stratum 1 represents the basic status desired value of most superior system, operation state desired value and minimum state desired value by showing 200 same modes with the figure of Fig. 2.Similarly, figure display 321,322,323 can represent the system state index of a system corresponding in three stratum 2-systems respectively, figure display 331,332,333 can represent the system state index of a system corresponding in three stratum 3-systems respectively, and figure display 341,342,343 can represent the system state index of a system corresponding in three stratum 4-systems respectively.Figure display 370, figure display 380 and figure display 390 can represent the relation between the system of higher level stratum and the subsystem of this system respectively.In addition, as shown in Figure 3, the value identical with basic status desired value can be presented at other figures and show the position representing minimum state desired value in 311,321,322,323,331,332,333 by figure display 341,342,343.

Below, record to the exemplary realization of system monitoring device 110 in more detail.Referring again to Fig. 1, system monitoring device 110 can comprise data acquisition unit 112, computing unit 114, identifying unit 116 and boundary element 118.Each assembly of system monitoring device 110 realizes by the hardware (such as, processor, storer, network interface, display interface, IO interface etc.) of calculation element.Data acquisition unit 112, computing unit 114, identifying unit 116 and boundary element 118 can realize respectively by special processor, or are realized by single processor.

Data acquisition unit 112 can at the data set of particular point in time receiving package containing the sensor values obtained by monitored object system 120.If N number of sensor values is acquired, then this data set can be represented as N dimension strong point X=(x ₁, x ₂..., x _n).For convenience's sake, this data set can be called as " data set X " below.

In addition, data acquisition unit 112 is judged as several data sets (each data set comprises N number of sensor values) of the normal condition representing monitored object system 120 or the defect state representing monitored object system 120 after obtaining from monitored object system 120 before can gathering from database 140.These data sets can be represented as N dimension strong point Y respectively _i=(y _i1, y _i2..., y _iN).For convenience's sake, each of these data centralizations can be called as " data set Y respectively below _i".

Computing unit 114 can calculate the data set (hereinafter referred to as " data set Y ") similar with data set X in the data centralization gathered from database 140.For this reason, computing unit 114 can calculate the similar degree between each and data set X of the data centralization gathered from database 140.This similar degree can represent the distance between two data sets of the distance metric (distancemetric) that basis has set.Such as, similar degree can be provided by Euclidean distance (Euclideandistance).In the case, the similar degree between data set X and data set Y can be provided by following mathematical expression.

[mathematical expression 1]

$\sqrt{{(x_1-y_1)}^2+{(x_2-y_2)}^2+...+{(x_N-y_N)}^2}$

In other examples, described similar degree can to utilize according to two data sets of distance metric set between the inverse of distance represent.

In order to concrete example, suppose to gather two data set Y from database 140 ₁and Y ₂and use two data points (410,420) of the two dimension in Fig. 4 to represent respectively.If two-dimemsional number strong point 401 represents data set X, then data set Y ₁calculated as the data set Y more similar with data set X.Unlike this, if two-dimemsional number strong point 402 represents data set X, then data set Y ₂calculated as the data set Y more similar with data set X.As another example, if two-dimemsional number strong point 403 represents data set X, then data set Y ₁calculated as the data set Y more similar with data set X.

And then computing unit 114 calculates the index be associated with the state of monitored object system 120 by the similar degree calculated.In several embodiments, as described below, computing unit 114 calculates basic status desired value by the distance r between data set X and data set Y.

When data set Y is judged as the normal condition representing monitored object system 120, computing unit 114 can calculate basic status desired value based on the decreasing function about distance r.Such as, basic status desired value can be provided by 1/ (1+r).As another example, basic status desired value can be provided by following mathematical expression.

[mathematical expression 2]

$\frac{\frac{1}{1+r}}{3\log (1+\sqrt{{\mathrm{\Σ}}_{d=1}^N{({\max }_d-{\min }_d)}^2})}$

Here, P data set Y is gathered in hypothesis from database 140 _itime, max _dfor P element y _1d, y _2d,..., y _pdin maximal value, min _dfor P element y _1d, y _2d,..., y _pdin minimum value.

When data set Y is judged as the defect state representing monitored object system 120, computing unit 114 can calculate basic status desired value based on the increasing function about distance r.Such as, basic status desired value can by 1-{1/ (1+r) } provide.As another example, basic status desired value can be provided by following mathematical expression.

[mathematical expression 3]

$1-\frac{\frac{1}{1+r}}{3\log (1+\sqrt{{\mathrm{\Σ}}_{d=1}^N{({\max }_d-{\min }_d)}^2})}$

Like this, basic status desired value can be calculated for along with data set X more close to normal data more close to 1, along with data set X more close to defective data more close to 0.Therefore, when data set Y has been judged as normal data, basic status desired value can imply that the possibility in good condition of monitored object system 120 is high.In addition, when data set Y has been judged as defective data, basic status desired value can imply that the bad possibility of the state of monitored object system 120 is high.

In order to concrete example, suppose that in Fig. 4, data point 410,420 represents normal data and defective data respectively.If data point 401 or data point 403 represent data set X, then the basic status desired value of monitored object system 120 can be calculated based on the decreasing function about distance r.Unlike this, when data point 402 represents data set X, then the basic status desired value of monitored object system 120 can be calculated based on the increasing function about distance r.

According to several embodiment, data set Y can be the data of cluster.Like this, when utilizing clustering method to carry out building database 140, can carry out determining storage in the data set (such as, data set Y) of database 140 based on the ratio (ratio) of normal data and defective data and the critical value preset is normal data or defective data.And then the basic status desired value calculated as mentioned above can adjust according to aforementioned proportion.Such as, the normal data in data set Y and the ratio of defective data be 8:2 and be 0.9 according to the value that mathematical expression 2 calculates time, final basic status desired value is calculated as 0.9*0.8=0.72 (that is, 72%).

Identifying unit 116 can carry out decision data collection X based on the critical value be associated with data set Y and the similar degree calculated and whether represent the abnormal sign state of monitored object system 120, normal condition or defect state.Such as, as mentioned above, when similar degree represents the distance r between data set X and data set Y, identifying unit 116 can the state of judgement monitored object system 120 as described below.

-when distance r is less than critical value and data set Y is judged as normal data, data set X is judged as the normal condition representing monitored object system 120.

-when distance r is less than critical value and data set Y is judged as defective data, data set X is judged as the defect state representing monitored object system 120.

-when distance r is greater than critical value, data set X is judged as the abnormal sign state representing monitored object system 120.

In order to concrete example, suppose that the radius of the circle 412 in Fig. 4 is and the data set Y represented by data point 410 ₁the critical value R that (normal data) is associated ₁, the radius of the circle 422 in Fig. 4 is and the data set Y represented by data point 420 ₂the critical value R that (defective data) is associated ₂.Such as, when data point 401 represents data set X, due to data set X and data set Y ₁between distance be less than R ₁, therefore data set X can be judged to represent that monitored object system 120 is normal.As another example, when data point 402 represents data set X, due to data set X and data set Y ₂between distance be less than R ₂, therefore data set X can be judged to represent monitored object system 120 existing defects.As another example, when data point 403 represents data set X, due to data set X and data set Y ₁between distance be greater than R ₁, therefore data set X can be judged to represent that monitored object system 120 shows abnormal sign.

Although be recited as in the above-described embodiments based on data set X and data set Y ₁between similar degree and critical value R ₁determine the state of monitored object system 120, but embodiments of the invention are not limited thereto.In other examples, the state of monitored object system 120 is by by X and data set Y ₁between similar degree and be stored in the critical value R of database 140 ₃compare to calculate.Identifying unit 114 can when described similar degree be greater than critical value, based on data set Y ₁corresponding Obj State judges that the state of monitored object system 120 represents normal condition or defect state.In addition, identifying unit 114 when described similar degree is less than critical value, can judge the state representation defect state of monitored object system 120.

More than, time in the effective range that data set X is contained in data set Y, data set X can be judged as the state represented represented by data set Y.Otherwise data set X can be judged as and represent abnormal sign state.As a result, the critical value be associated with data set Y can be called as the effective range of data set Y.Such effective range can utilize multiple statistically method (such as, based on history application n-retransposing checking (n-foldcrossvalidation) method of the defect of monitored object system 120) to set.Effective range is larger, and the misjudged possibility being decided to be defect state or normal condition of the state of monitored object system 120 can be higher.On the contrary, effective range is less, and the state of monitored object system 120 is judged as abnormal sign state more continually.Exemplarily, suitable effective range can be provided by following mathematical expression.

[mathematical expression 4]

$2\log (1+\sqrt{\frac{{\mathrm{\Σ}}_{d=1}^N{({\max }_d-{\min }_d)}^2}{N}})$

In addition, when decision data collection X represents the defect state of monitored object system 120 or abnormal sign state, computing unit 114 can calculate for each contribution degree in the sensor in the monitored object system 120 of the similar degree between data set X and data set Y.Next, at least one (sensor that such as, contribution degree is the highest) during identifying unit 116 can select in monitored object system 120 sensor based on the contribution degree calculated is as check object sensor.

In addition, as mentioned above, basic status desired value represents the state of the monitored object system 120 being in particular point in time, and cannot represent the change progressively of the state of monitored object system 120 fully.Such as, user is difficult to by means of only basic status desired value to identify the change built up of the deterioration of device in buildings and so on.For this point, computing unit 114 as described belowly can calculate operation state desired value extraly.

Computing unit 114 is the calculating and the basic status desired value calculating to obtain multiple time point of basic status desired value of similar degree as above repeatedly for each in multiple time point in specifically monitored time interval (such as, length is the time interval of u).Next, computing unit 114 calculates operation state desired value by the basic status desired value of each time point obtained.

Such as, computing unit 114 can calculate the weighted mean of the basic status desired value of multiple time point as operation state desired value.Next, particular weights value, when meeting the two or more in following condition, can be given above-mentioned weighted mean by computing unit 114.

-suppose P the data set Y building on database 140 _ibe present in the preset range in N dimension.When the occurrence frequency exceeding the event of this scope at the interval data set X as time goes by of monitoring period exceedes particular value (such as, the a% of P) time, illustrate that temporary transient defect does not appear in monitored object system 120, but the possibility that the operation change of monitored object system 120 or deterioration have occurred is high.Here, n-retransposing can be utilized to verify, and (n-foldcrossvalidation) method is to select a to minimize residual sum of squares (RSS) (RSS:ResidualSumofSquares).

-calculate in monitoring period interval (such as, u is 14 days) data set X exceeds the event of scope as above as time goes by occurrence frequency exceedes particular value (such as, the b% of P) number of days and this number of days be less than u v (such as, 9 days) more than time, illustrate that the possibility that the operation change of monitored object system 120 or deterioration have occurred is high.Here, n-retransposing can be utilized to verify, and (n-foldcrossvalidation) method is to select u, v and b to minimize RSS.

-calculate in monitoring period interval (such as, u is 14 days) event that is acquired of data set X that is difficult to statistically as time goes by occur there is number of days at least one times and this number of days is more than the w being less than u time, illustrate that the possibility that the operation change of monitored object system 120 or deterioration have occurred is high.Here, n-retransposing can be utilized to verify, and (n-foldcrossvalidation) method is to select u and w to minimize RSS.

When meeting the two or more in above-mentioned condition, operation state desired value calculates as the average weighted value of weighted value p (just, 0<p<1) being given the basic status desired value of multiple time point.Here, n-retransposing can be utilized to verify, and (n-foldcrossvalidation) method is to select p to minimize RSS.Such as, when above-mentioned weighted mean is 0.9 and p is 0.5 and meets the two or more in above-mentioned condition, final operation state desired value can be calculated as 0.9*0.5=0.45 (that is, 45%).

In addition, as mentioned above, operating environment 100 can comprise multiple monitored object system 120, and each monitored object system 120 can be the lower system being contained in superior system.In this case, computing unit 114 can for each in multiple lower system (that is, multiple monitored object system 120) repeatedly similar degree as above calculate and basic status desired value calculate obtain multiple lower system basic status desired value separately.In addition, computing unit 114 can calculate the index (hereinafter referred to as " higher level's index ") be associated with the state of superior system.Such as, computing unit 114 calculates the basic status desired value (such as, the common average or weighted mean of the basic status desired value of each lower system) of superior system by the basic status desired value of each lower system obtained.

And then higher level's index also can comprise at least one in the operation state desired value of superior system and subordinate's state index value (such as, minimum state desired value).Such as, computing unit 114 can be similar to the operation of the operation state desired value calculating monitored object system 120 and calculate the operation state desired value of superior system.In addition, the minimum value in multiple lower system basic status desired value separately can calculate as subordinate's state index value by computing unit 114.In addition, identifying unit 116 can select at least one check object lower system (such as, basic status desired value is the lower system of subordinate's state index value).

User interface can be supplied to user's set 160 by boundary element 118.Below, the operation of boundary element 118 is described with reference to Fig. 5.

Such as, the graphic user interface 500 that the figure comprising the index be associated with the state of superior system (such as, being named as the mansion control system in " building 2 ") can be shown 510 by boundary element 118 is supplied to the user's set 160 of display device and so on.

In addition, boundary element 118 can receive user's input (such as, mouse is clicked).Boundary element 118 can receive user's input to carry out in-depth monitoring, and can in response to such user input reception and will with lower system (such as, " air conditioner 1 " device and " cooling tower " device as the subsystem of described mansion control system) a whole or part in the index (such as, basic status desired value) that is associated of each state be shown in graphic user interface 500.Suppose, when boundary element 118 receives for selecting the user of image display 510 in graphic user interface 500 to input, boundary element 118 can make figure display 520 and/or person's figure display 525 visually be presented in graphic user interface 500.Figure display 520 and person's figure display 525 can represent the basic status desired value of " air conditioner 1 " device and the basic status desired value of " cooling tower " device respectively.And then boundary element 118 can with the form highlighted at graphic user interface 500 to show at least one (such as, using minimum state desired value " air conditioner 1 " device as basic status desired value) in multiple lower system.Such as, as shown in Figure 5, the connecting line 545 of figure display 510 and figure display 525 and figure show 510 and figure show 520 connecting line 540 compared with may more slightly, figure show 525 and figure show the live width of size and/or person's frame compared with in the of 520 may be more outstanding.

Similarly, each sensor values be contained in the sensor of each lower system can be shown in graphic user interface 500 by boundary element 118.Such as, while the index be associated with the state of lower system can be shown in graphic user interface 500 by boundary element 118, sensor values as above is shown in graphic user interface 500 (showing 530,532,533,535,537,539 with reference to figure).In addition, boundary element 118 can with the form highlighted in user interface to show check object sensor as above (such as, the feed air temperature sensor of " air conditioner 1 " device and mixing temperature sensor).Such as, as shown in Figure 5, connecting line 553,555 may be thicker compared with connecting line 550,552,557,559, and figure display 533,535 and figure show the live width of frame compared with in the of 530,532,537,539 may be more outstanding.

Fig. 6 illustrates the system monitoring process according to exemplary embodiment.Such as, exemplary process 600 performs by system monitoring device 110.

After starting operation, process 600 enters operation S605.In operation S605, gather the data being judged as normal data or defective data.Such as, as shown in following table, temporally intervally can judge that about the data of the device in buildings be normal data or defective data.With reference to following form,

Can learn in buildings and comprise multiple device (such as, being called as the device of " air conditioner 1 ", " air conditioner 6 ", " heating heat exchanger 1 " etc.).

[table 1]

Above-mentioned normal data or defective data can be stored in the database of database 140 and so on.Such as, database can maintain the data set (hereinafter also referred to " available data collection ") associated with the device being called as " air conditioner 3 ".Such as, available data collection can be included in data set suggested in following table.With reference to learning with following table, be provided with 7 sensors in " air conditioner 3 " device, and each available data collection can be included in 7 sensor valuess that particular point in time is measured by 7 sensors.

[table 2]

Device in buildings	Sensor	Sensor values
			Air conditioner 3	Outside air temperature sensor	-1.94485
Air conditioner 3	Feed air temperature sensor	21.0034
			Air conditioner 3	Ventilatory temperature sensor	21.6901
Air conditioner 3	Mixing temperature sensor	20.1794
			Air conditioner 3	Refrigeration valve jaw opening sensor	0
Air conditioner 3	Heating valve opening sensor	0
			Air conditioner 3	Exhaust screen jaw opening sensor	0

The sensor values of available data collection can carry out normalization by sensor.Such as, available data collection outside air temperature sensor values average and standard deviation is respectively s and t time, the outside air temperature sensor values of the data set provided in above-mentioned table 2 can be normalized to (-1.94485-s)/t.Normalized sensor values can be limited at (such as, from-1.0 to 1.0) between given zone.In addition, above-mentioned interval can be separated into multiple sub-range and each sub-range can be endowed typical value (such as, the median of this sub-range inner sensor value or mean value).

In operation S610, be used for the new data set (hereinafter also referred to " current data set ") of the current state judging " air conditioner 3 " device from " air conditioner 3 " device collection.Such as, current data set can by as in following table the data set that proposes provide.

[table 3]

Device in buildings	Sensor	Sensor values
			Air conditioner 3	Outside air temperature sensor	-12.9682
Air conditioner 3	Feed air temperature sensor	21.7777
			Air conditioner 3	Ventilatory temperature sensor	20.7142
Air conditioner 3	Mixing temperature sensor	20.9554
			Air conditioner 3	Refrigeration valve jaw opening sensor	0
Air conditioner 3	Heating valve opening sensor	5
			Air conditioner 3	Exhaust screen jaw opening sensor	0

The sensor values of current data set can carry out normalization by sensor.Such as, the outside air temperature sensor values of the data set proposed in above-mentioned table 3 can be normalized to (-12.9682-s)/t.

In operation S615, calculate the similar degree between each and current data set that available data concentrates.As mentioned above, similar degree can be the Euclidean distance between two data points.As another example, similar degree can be the manhatton distance (Manhattandistance) between two data points.Calculate by such similar degree and judge that available data concentrates the available data collection similar with current data set.In order to the convenience illustrated, suppose that the current data set proposed in the available data collection that proposes in table 2 and table 3 is similar.

In operation S620, judge whether the similar degree between available data collection similar and current data set is greater than the effective range of available data collection similar.When this similar degree is more than or equal to effective range, current data set is judged as the abnormal sign state (S625) of expression " air conditioner 3 " device.And then the history of such judgement can be stored (being such as stored in database), and inform the user abnormal sign state.When described similar degree is less than effective range, judge available data collection similar whether as defective data (S630).When available data collection similar is judged as defective data, current data set is judged as the defect state (S635) of expression " air conditioner 3 " device.The history of such judgement can be stored (being such as stored in database), and informs the user defect state.Next, process 600 forwards operation S645 to.When in operation S630, available data collection similar is judged as normal data, process 600 forwards operation S645 to.

In addition, when current data set is judged as the abnormal sign state of expression " air conditioner 3 " device, judge that the sensor producing maximum effect can be identified to this.For this reason, the contribution degree (S640) for each sensor of the similar degree between available data collection similar and current data set can be calculated.The contribution degree of K sensor in N number of sensor can be provided by following mathematical expression.

[mathematical expression 5]

$\frac{{(x_K-y_K)}^2}{{(x_1-y_1)}^2+{(x_2-y_2)}^2+...+{(x_N-y_N)}^2}$

Next, process 600 forwards operation S645 to.

In operation S645, calculate the index be associated with the state of " air conditioner 3 " device.Such index can comprise the basic status desired value calculated as mentioned above, and also can comprise operation state desired value extraly.In addition, for each device repeatable operation S610 in buildings to operating S645, the index be associated with the state of the buildings as superior system can be calculated accordingly.Such index can comprise the basic status desired value calculated as mentioned above, and also can comprise operation state desired value and/or minimum state desired value extraly.

Fig. 7 illustrates the system monitoring process according to exemplary embodiment.Such as, exemplary process 700 performs by system monitoring device 110.

After starting operation, process 700 enters operation S710.In operation S710, obtain the system state index (each lower system of such as monitored object system 120 and/or monitored object system 120) be associated with the state of monitored system.Such system state index comprises the basic status desired value be associated with the state of each time point of this system.In addition, system state index also can comprise both the operation state desired value be associated with the state of each time interval of this system, the state of each time point of lower system specific for this is associated when the specific lower system of this system exists subordinate's state index value or such operation state desired value and subordinate's state index value all.

According to several embodiment, system monitoring device 110 (computing unit 114) by with as mentioned above operate identical or similar operation and obtain described system state index.Such as, when monitored system comprises multiple lower system, higher level's index (that is, the system state index of monitored object system 120) can be obtained together with multiple lower system system state index separately (being associated with the state of the corresponding lower system in the lower system of monitored object system 120 respectively).

Specifically, basic status desired value can represent the state that monitored system has at particular point in time.Such as computing unit 114 can temporally be put to obtain basic status desired value.In addition, operation state desired value can represent that described system is across the state had to the time interval of this particular point in time from the time point prior to this particular point in time.Such as computing unit 114 can utilize the basic status desired value of multiple time point to obtain operation state desired value, and the basic status desired value of each time point can be associated with the state of the system of the time point be in this time interval.And then subordinate's state index value can represent the state that specific lower system has at above-mentioned particular point in time.Such as when monitored system comprises multiple lower system (comprising specific lower system as above), computing unit 114 can utilize multiple lower system basic status desired value separately to obtain subordinate's state index value, and the basic status desired value of each lower system can represent the state that the lower system of the correspondence in the multiple lower system of described particular point in time has.Such subordinate's state index value can be the minimum state desired value as the minimum value in the basic status desired value of multiple lower system.

In operation S720, the system state index of acquisition is shown in user interface.According to several embodiment, the image display of image display 200,800,900,1000 that the boundary element 118 of system monitoring device 110 proposes by Fig. 2 and Fig. 8 to Figure 10 and so on and make system state index visually be presented in user interface.In addition, when monitored system comprises multiple lower system, boundary element 118 can be similar to user interface 300,500 that Fig. 3 and Fig. 5 propose and the index at least partially in this system and lower system is shown in user interface by tree structure.Especially, as shown in Figure 5, boundary element 118 can by least one (such as, the minimum state desired value of this system comes from its specific lower system) in the lower system of this system with the form highlighted to be shown in user interface.Such as, in Fig. 5, can be shown as the live width of size and/or frame more outstanding in figure display 525,533,535, and connecting line 545,553,555 can be shown as thickness and/or shape is given prominence to.Such user interface can make user easily identify the state of monitored system, and user can be made effectively to confirm likely to occur the lower system of defect.

Next, when other system state index is acquired, process 700 is aforesaid operation S710, S720 repeatedly for new system state index.

In addition, exemplary embodiment can comprise the computer readable recording medium storing program for performing of the program recorded for performing the process recorded in this instructions on computers.Program command, local data file, local data structure etc. can be included by described computer readable recording medium storing program for performing alone or in combination.Described computer readable recording medium storing program for performing can design especially in order to the present invention and form.The magnetic medium of hard disk, floppy disk and tape and so on is had in the example of computer readable recording medium storing program for performing; The optical recording media of CD-ROM, DVD and so on; The hardware unit that the magnet-optical medium of floptical disk and so on and ROM, RAM, flash memory etc. are formed especially in order to store also executive routine order.Not only comprise the machine language code made by compiler in the example of program command, but also can comprise and utilize interpreter etc. and the higher-level language code performed by computing machine.

Although above, representative embodiment of the present invention has been described in detail, but the personnel in the technical field of the invention with general knowledge should be able to understand and in the limit not departing from the scope of the invention, can carry out diversified distortion to described embodiment.Therefore, interest field of the present invention should not be limited to described embodiment and determines, but will determine according to claims and equivalents thereof.

Claims (55)

1. a system monitoring device, comprising:

Data acquisition unit, is configured to collection and obtains and the first data set being judged as the state representing described system and the second data set obtained from described system from monitored system;

Computing unit, is configured to utilize described first data set and described second data set to calculate the index be associated with the state of described system.

2. system monitoring device according to claim 1, wherein,

Described first data set is judged as and represents that the state of the described system being in very first time point is in normal condition or defect state.

3. system monitoring device according to claim 1, wherein,

Described index comprises the basic status desired value be associated with the state of the described system being in the second time point.

4. system monitoring device according to claim 3, wherein,

Described index comprise with across the operation state desired value be associated to the state of the described system of the time interval of described second time point from the time point prior to described second time point.

5. system monitoring device according to claim 4, wherein,

Described computing unit is configured to calculate described operation state desired value by the basic status desired value of multiple time point, and the state of the described system of each time point with being in described time interval in the basic status desired value of described multiple time point is associated.

6. system monitoring device according to claim 3, wherein,

Described system comprises multiple lower system, and described index comprises the subordinate's state index value be associated with the state of in the described multiple lower system being in described second time point.

7. system monitoring device according to claim 6, wherein,

Described computing unit is configured to calculate described subordinate state index value by the basic status desired value of multiple lower system, and the state of in each and described multiple lower system being in described second time point in the basic status desired value of described multiple lower system is associated.

8. system monitoring device according to claim 6, wherein,

Described subordinate state index value is the minimum value in the basic status desired value of described multiple lower system.

9. system monitoring device according to claim 1, also comprises: boundary element, is configured to described index to be shown in user interface.

10. system monitoring device according to claim 9, wherein,

Described system comprises multiple lower system, described computing unit is also configured to the index calculating multiple lower system, described boundary element is configured in response to receiving user's input and will be shown in described user interface at least partially in the index of described multiple lower system, and the state of lower system corresponding in each and described multiple lower system in the index of described multiple lower system is associated.

11. system monitoring device according to claim 10, wherein,

The form that described boundary element is also configured to highlight is to show at least one in described multiple lower system.

12. system monitoring device according to claim 2, wherein,

Described computing unit is also configured to calculate the similar degree between described first data set and described second data set,

Described system monitoring device also comprises: identifying unit, is configured to judge that described second data set represents the abnormal sign state of described system, described normal condition or described defect state based on the critical value be associated with described first data set and described similar degree.

13. system monitoring device according to claim 12, wherein,

Described computing unit is also configured to calculate described index by described similar degree.

14. system monitoring device according to claim 12, wherein,

Described first data set comprises multiple first sensor values that multiple sensors of arranging by being associated with described system are measured, and described second data set comprises multiple second sensor valuess measured by described multiple sensor.

15. system monitoring device according to claim 14, wherein,

Described computing unit is also configured to calculate for each contribution degree in described multiple sensor of described similar degree when described second data set is judged as and represents described defect state or described abnormal sign state.

16. system monitoring device according to claim 15, wherein,

Described identifying unit is also configured to select in described multiple sensor one as check object sensor based on the described contribution degree calculated.

17. system monitoring device according to claim 12, wherein,

Described similar degree represents according to the distance between described first data set of distance metric set and described second data set.

18. system monitoring device according to claim 17, wherein,

When described distance is less than described critical value and described first data set is judged as the described normal condition of expression, described second data set is judged as and represents described normal condition, when described distance is less than described critical value and described first data set is judged as the described defect state of expression, described second data set is judged as and represents described defect state, when described distance is greater than described critical value, described second data set is judged as and represents described abnormal sign state.

19. system monitoring device according to claim 17, wherein,

Described computing unit is also configured to calculate by described distance the basic status desired value be associated with the state of the described system being in the second time point, when described first data set is judged as the described normal condition of expression, described basic status desired value is calculated based on the decreasing function about described distance, when described first data set is judged as the described defect state of expression, described basic status desired value is calculated based on the increasing function about described distance.

20. 1 kinds of system monitoring methods, as the system monitoring method realized by calculation element, are comprised the steps:

Gather and obtain and the first data set being judged as the state representing described system and the second data set obtained from described system from monitored system;

Described first data set and described second data set is utilized to calculate the index be associated with the state of described system.

21. system monitoring methods according to claim 20, wherein,

Described first data set is judged as and represents that the state of the described system being in very first time point is in normal condition or defect state.

22. system monitoring methods according to claim 20, wherein,

Described index comprises the basic status desired value be associated with the state of the described system being in the second time point.

23. system monitoring methods according to claim 22, wherein,

Described index comprise with across the operation state desired value be associated to the state of the described system of the time interval of described second time point from the time point prior to described second time point.

24. system monitoring methods according to claim 23, wherein,

The described step calculated comprises: calculate described operation state desired value by the basic status desired value of multiple time point, wherein, the state of the described system of each time point with being in described time interval in the basic status desired value of described multiple time point is associated.

25. system monitoring methods according to claim 22, wherein,

Described system comprises multiple lower system, and described index comprises the subordinate's state index value be associated with the state of in the described multiple lower system being in described second time point.

26. system monitoring methods according to claim 25, wherein,

The described step calculated comprises: calculate described subordinate state index value by the basic status desired value of multiple lower system, and the state of in each and described multiple lower system being in described second time point in the basic status desired value of described multiple lower system is associated.

27. system monitoring methods according to claim 25, wherein,

Described subordinate state index value is the minimum value in the basic status desired value of described multiple lower system.

28. system monitoring methods according to claim 20, also comprise the steps: described index to be shown in user interface.

29. system monitoring methods according to claim 28, wherein,

Described system comprises multiple lower system, and described system monitoring method also comprises the steps:

Calculate the index of multiple lower system;

Described user interface will be shown at least partially in the index of described multiple lower system in response to receiving user's input, wherein, the state of lower system corresponding in each and described multiple lower system in the index of described multiple lower system is associated.

30. system monitoring methods according to claim 29, the form also comprising the steps: to highlight is to show at least one in described multiple lower system.

31. system monitoring methods according to claim 21, also comprise the steps:

Calculate the similar degree between described first data set and described second data set;

Judge that described second data set represents the abnormal sign state of described system, described normal condition or described defect state based on the critical value be associated with described first data set and described similar degree.

32. system monitoring methods according to claim 31, also comprise the steps:

Described index is calculated by described similar degree.

33. system monitoring methods according to claim 31, wherein,

Described first data set comprises multiple first sensor values that multiple sensors of arranging by being associated with described system are measured, and described second data set comprises multiple second sensor valuess measured by described multiple sensor.

34. system monitoring methods according to claim 33, also comprise the steps:

Calculate for each contribution degree in described multiple sensor of described similar degree when described second data set is judged as and represents described defect state or described abnormal sign state.

35. system monitoring methods according to claim 34, also comprise the steps:

Select in described multiple sensor one as check object sensor based on the described contribution degree calculated.

36. system monitoring methods according to claim 31, wherein,

Described similar degree represents according to the distance between described first data set of distance metric set and described second data set.

37. system monitoring methods according to claim 36, wherein,

When described distance is less than described critical value and described first data set is judged as the described normal condition of expression, described second data set is judged as and represents described normal condition, when described distance is less than described critical value and described first data set is judged as the described defect state of expression, described second data set is judged as and represents described defect state, when described distance is greater than described critical value, described second data set is judged as and represents described abnormal sign state.

38. system monitoring methods according to claim 36, also comprise the steps: to calculate by described distance the basic status desired value be associated with the state of the described system being in the second time point, when described first data set is judged as the described normal condition of expression, described basic status desired value is calculated based on the decreasing function about described distance, when described first data set is judged as the described defect state of expression, described basic status desired value is calculated based on the increasing function about described distance.

39. 1 kinds of system monitoring device, comprising:

Computing unit, be configured to obtain system state index, described system state index comprise the basic status desired value that is associated with the state temporally put of monitored system and comprise in the operation state desired value be associated with the temporally interval state of described system and the subordinate's state index value be associated with the state temporally put of the specific lower system of described system at least one;

Boundary element, is configured to described system state index to be shown in user interface.

40. according to system monitoring device according to claim 39, wherein,

Described basic status desired value represents the state of the described system being in particular point in time, described operation state desired value represents that across from the time point prior to described particular point in time to the state of the described system of the time interval of described particular point in time, described subordinate state index value represents the state of the described specific lower system being in particular point in time.

41. according to system monitoring device according to claim 39, wherein,

Described computing unit is configured to utilize the basic status desired value of multiple time point to obtain described operation state desired value, and the state of the described system of each time point with being in described time interval in the basic status desired value of described multiple time point is associated.

42. according to system monitoring device according to claim 39, wherein,

Described computing unit is configured to utilize the basic status desired value of multiple lower system to obtain described subordinate state index value, described system comprises multiple lower system, described multiple lower system comprises described specific lower system, and the state of in each and described multiple lower system being in described particular point in time in the basic status desired value of described multiple lower system is associated.

43. system monitoring device according to claim 42, wherein,

Described subordinate state index value is the minimum value in the basic status desired value of described multiple lower system.

44. according to system monitoring device according to claim 39, wherein,

Described system comprises multiple lower system, described multiple lower system comprises described specific lower system, described computing unit is also configured to the system state index obtaining multiple lower system, the state of lower system corresponding in each and described multiple lower system in the system state index of described multiple lower system is associated, and described boundary element is configured to will be shown in described user interface at least partially in the system state index of described multiple lower system.

45. system monitoring device according to claim 44, wherein,

At least one in described multiple lower system is shown in described user interface by the form that described boundary element is also configured to highlight.

46. 1 kinds of system monitoring methods, comprise the steps:

Obtain system state index, described system state index comprise the basic status desired value that is associated with the state temporally put of monitored system and comprise in the operation state desired value be associated with the temporally interval state of described system and the subordinate's state index value be associated with the state temporally put of the specific lower system of described system at least one;

Described system state index is shown in user interface.

47. system monitoring methods according to claim 46, wherein,

Described basic status desired value represents the state of the described system being in particular point in time, described operation state desired value represents that across from the time point prior to described particular point in time to the state of the described system of the time interval of described particular point in time, described subordinate state index value represents the state of the described specific lower system being in particular point in time.

48. system monitoring methods according to claim 46, wherein,

The step of described acquisition comprises: utilize the basic status desired value of multiple time point to obtain described operation state desired value, wherein, the state of the described system of each time point with being in described time interval in the basic status desired value of described multiple time point is associated.

49. system monitoring methods according to claim 46, wherein,

The step of described acquisition comprises: utilize the basic status desired value of multiple lower system to obtain described subordinate state index value, wherein, described system comprises multiple lower system, described multiple lower system comprises described specific lower system, and the state of in each and described multiple lower system being in described particular point in time in the basic status desired value of described multiple lower system is associated.

50. system monitoring methods according to claim 49, wherein,

Described subordinate state index value is the minimum value in the basic status desired value of described multiple lower system.

51. system monitoring methods according to claim 46, wherein,

Described system comprises multiple lower system, described multiple lower system comprises described specific lower system, described system monitoring method also comprises the steps: the system state index obtaining multiple lower system, wherein, the state of lower system corresponding in each and described multiple lower system in the system state index of described multiple lower system is associated, and described system monitoring method also comprises the steps: will to be shown in described user interface at least partially in the system state index of described multiple lower system.

52. system monitoring methods according to claim 51, at least one in described multiple lower system is shown in described user interface by the form also comprising the steps: to highlight.

53. 1 kinds of system monitoring device, comprising:

Database, is configured to storage first data set, and described first data set to be acquired from monitored system at very first time point and to comprise the first sensor value of state representing the described system being in point of the described very first time;

Data acquisition unit, is configured to collection second data set, and second time point of described second data set after described very first time point is acquired from described system and comprises the second sensor values;

Identifying unit, judges the state of described system at described second time point based on the similar degree between described first data set and described second data set.

54. system monitoring device according to claim 53, wherein,

Described identifying unit is when described similar degree is greater than critical value, and the state based on the described system being in point of the described very first time judges that the state of the described system being in described second time point represents normal condition or defect state.

55. system monitoring device according to claim 54, wherein,

Described identifying unit, when described similar degree is less than critical value, judges the state representation defect state being in the described system of described second time point.