CN105654238A - Data management method and device for public institution energy consumption monitoring platform - Google Patents
Data management method and device for public institution energy consumption monitoring platform Download PDFInfo
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Abstract
The invention provides a data management method and a device for an energy consumption monitoring platform of a public institution, wherein the method comprises the following steps: determining data characteristic information of energy consumption metering equipment in the public institution energy consumption monitoring platform according to the characteristics and the operating conditions of each energy consumption equipment in the public institution energy consumption monitoring platform based on the monitoring data acquired by each energy consumption monitoring equipment in the public institution energy consumption monitoring platform; analyzing the monitoring data based on the data characteristic information of the energy consumption metering equipment, and determining whether the monitoring data has data loss, invalid data and error data so as to realize online quality judgment and error analysis of the data. The invention can rapidly carry out deletion, unreasonable and error judgment on various collected and recorded data, improves the data quality of the energy consumption monitoring platform to the maximum extent, reduces the problems of poor performance of the building energy consumption platform, information error and the like caused by the data deletion and error of the energy consumption monitoring platform, and avoids direct and indirect economic losses caused by the problems in time.
Description
Technical field
The present invention relates to data monitoring technical field, particularly relate to a kind of public organizations' energy consumption monitoring platform data management process and device.
Background technology
In large-scale public organizations energy management system, data defect is inevitable. The reasons such as its source produced comprises the poor reliability of the low cost sensor (relatively industry) of building, data collection point installs the restriction that is subject to installing position, existing Mechatronic Systems cannot correctly reflected measurement value, data transmission system failure rate height, operate in special operation condition etc. in the part moment; In the face of number is with the GB data that even TB calculates, must by L&S line defect diagnosis and error correcting technique, it is to increase energy consumption monitoring platform data quality, identification defective data, could effectively improve the operability of energy management system, provide effective high quality first-hand basic data data for realizing building energy conservation.
Current industrial community present situation allows of no optimist, it suffices to say that a large amount of energy consumption of building monitoring platform qualities of data is not high, there is the problems such as data disappearance, data mistake, data are mixed and disorderly and causes a large amount of system for monitoring emery consumption of public buildings to be on the verge of paralysis. Current industrial community also stops in the artificial stage for data disfigurement discovery and correction, it does not have suitable computerized algorithm can be applied, it does not have the theory of system or method can instruct practice. Therefore, current needs provides a kind of public organizations energy consumption monitoring platform data management process, to realize the accurate judgement to data disappearance and error correction.
Summary of the invention
In view of the above problems, it is proposed that the present invention to provide a kind of the public organizations' energy consumption monitoring platform data management process and the device that overcome the problems referred to above or solve or slow down the problems referred to above at least in part, to realize data disappearance and the accurate judgement of error correction.
According to an aspect of the present invention, it provides a kind of public organizations energy consumption monitoring platform data management process comprises:
Obtain the monitoring data of each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform;
The data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform is determined according to the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform;
Described monitoring data is analyzed by the data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, to realize online quality judging and the error analysis of data.
Wherein, described monitoring data is analyzed by the described data characteristic information based on described energy consumption measure equipment, it is determined that before whether there are data disappearance, invalid data and mistake data in described monitoring data, also comprise:
Data attribute according to described monitoring data judges described monitoring data whether as preset data type, perform the described data characteristic information based on described energy consumption measure equipment described monitoring data to be analyzed when described monitoring data is preset data type, it is determined that whether described monitoring data exists the step of data disappearance, invalid data and mistake data.
Wherein, the data characteristic information of described energy consumption measure equipment comprises standard times interval, data limit value, data variation trend and the mathematical logic relation of monitoring the moment.
Wherein, described monitoring data is analyzed by the described data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, comprises further:
Obtain the timed interval in the monitoring moment that each energy consumption monitoring adjacent monitoring data of equipment record is corresponding in public organizations energy consumption monitoring platforms, when described interval greater than default standard times interval time, it is determined that described monitoring data exists data disappearance;
Extract the data characteristics of described monitoring data, judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result.
Wherein, described judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result, comprise further:
Data characteristics according to described monitoring data determines whether described monitoring data is negative, when described monitoring data is negative, it is determined that described monitoring data is invalid data or mistake data;
When described monitoring data is nonnegative number, judging the span whether described monitoring data belongs to default, if not belonging to, then determining that described monitoring data is invalid data or mistake data.
Wherein, described method comprises further:
When described monitoring data belongs to default span, judging whether described monitoring data meets default data variation trend, if not meeting, then determining that described monitoring data is invalid data or mistake data.
Wherein, described method comprises further:
When described monitoring data meets default data variation trend, judging whether described monitoring data meets mathematical logic relation, if not meeting, then determining that described monitoring data is invalid data or mistake data;
Concrete, described mathematical logic relation comprises total score relation and the association relation of data.
Wherein, described monitoring data comprises: electricity consumption, by water, combustion gas, central heating amount, concentrate semen donors and renewable energy source data.
According to another aspect of the present invention, it provides a kind of public organizations energy consumption monitoring platform data management devices, this device comprises:
Acquiring unit, for obtaining the monitoring data of each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform;
Determining unit, for determining the data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform according to the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform;
Processing unit, for described monitoring data being analyzed based on the data characteristic information of described energy consumption measure equipment, determine whether described monitoring data exists data disappearance, invalid data and mistake data, to realize online quality judging and the error analysis of data.
Wherein, described device also comprises:
Judging unit, for judging described monitoring data whether as preset data type according to the data attribute of described monitoring data, when described monitoring data is preset data type, described processing unit performs the described data characteristic information based on described energy consumption measure equipment and described monitoring data is analyzed, it is determined that whether there is the operation of data disappearance, invalid data and mistake data in described monitoring data.
The useful effect of the present invention is:
Public organizations provided by the invention energy consumption monitoring platform data management process and device, can rapidly to gathering and the various data that are recorded to lack, unreasonable and false judgment, data are carried out online quality judging, maximum degree improves energy consumption monitoring platform data quality, reduce the problems such as the building energy consumption platform property caused by energy consumption monitoring platform data disappearance, mistake is poor, information errors, and the direct and indirect economic loss avoiding thus causing in time.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to the technique means of the present invention can be better understood, and can be implemented according to the content of specification sheets, and in order to above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become clear for those of ordinary skill in the art and understand. Accompanying drawing is only for illustrating the object of preferred implementation, and does not think limitation of the present invention. And in whole accompanying drawing, represent identical parts with identical reference symbol. In the accompanying drawings:
Fig. 1 is the schema of a kind of public organizations energy consumption monitoring platform data management process that the embodiment of the present invention proposes;
Fig. 2 is the structural representation of a kind of public organizations energy consumption monitoring platform data management devices that the embodiment of the present invention proposes.
Embodiment
Being described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish. It is exemplary below by the embodiment being described with reference to the drawings, only for explaining the present invention, and limitation of the present invention can not be interpreted as.
It can be appreciated that unless expressly stated, odd number form " " used herein, " one ", " described " and " being somebody's turn to do " also can comprise plural form to those skilled in the art of the present technique. Should be further understood that, the wording " comprising " used in the specification sheets of the present invention refers to there is described feature, integer, step, operation, element and/or assembly, but does not get rid of and exist or add other features one or more, integer, step, operation, element, assembly and/or their group.
It can be appreciated that unless otherwise defined, all terms used herein (comprise technical term and scientific terminology) to those skilled in the art of the present technique, have the meaning identical with the general understanding of the those of ordinary skill in art of the present invention. It should be further understood that those terms of definition in such as general dictionary, it should it is understood to that there is the meaning consistent with the meaning in the context of prior art, and unless by specific definitions, otherwise can not explain by idealized or too formal implication.
Fig. 1 shows the schema of a kind of public organizations energy consumption monitoring platform data management process of the embodiment of the present invention.
With reference to Fig. 1, a kind of public organizations energy consumption monitoring platform data management process that the embodiment of the present invention proposes comprises:
S11, the monitoring data obtaining each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform.
In the present embodiment, described monitoring data comprises: electricity consumption, by water, combustion gas, central heating amount, concentrate semen donors and renewable energy source data.
Can understanding, the energy consumption monitoring equipment in the present embodiment mainly comprises data monitoring instrument and data sampling sensor. Wherein, sensor kind comprises: indoor temperature and humidity sensor, indoor illumination intensity sensor, outdoor temperature humidity sensor, outdoor solar irradiance, outdoor PM2.5 concentration, outdoor wind speed and direction data.
S12, determine the data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform according to the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform.
Can understand, energy consumption equipment in the present embodiment is building energy consumption equipment, specifically comprises: illumination, socket, conditioning unit (cold and heat source system, air-conditioner water system, air conditioning duct system), power electricity consumption (elevator, water pump, ventilator), special electricity consumption (information center, laundry, kitchen, swimming pool, gymnasium, clean room etc.).
Wherein, the data characteristic information bag of described energy consumption measure equipment is attribute and the feature of data, specifically comprises standard times interval, data limit value, data variation trend and the mathematical logic relation of monitoring the moment.
Described monitoring data is analyzed by S13, data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, to realize online quality judging and the error analysis of data.
Public organizations' energy consumption monitoring platform data management process that the embodiment of the present invention provides, by the data being gathered by building energy consumption monitoring platform and recording, according to the data characteristic information of the energy consumption measure equipment of data, carries out lacking and misidentification. The embodiment of the present invention solves the phenomenons such as data disappearance that monitoring emery consumption of public buildings platform exists for a long time, data mistake, data entanglement. Rapidly energy-consumption monitoring system collection and the various data that are recorded to can be lacked, unreasonable and false judgment, data are carried out online quality judging, maximum degree improves energy consumption monitoring platform data quality, reduce the problems such as the building energy consumption platform property caused by energy consumption monitoring platform data disappearance, mistake is poor, information errors, directly what indirect economic loss avoiding thus causing in time, establishes data gathering and the analysis foundation of hard stone for realizing building energy conservation.
According to a preferred embodiment of the invention, before step S13, also comprise: judge described monitoring data whether as preset data type according to the data attribute of described monitoring data, perform the described data characteristic information based on described energy consumption measure equipment described monitoring data to be analyzed when described monitoring data is preset data type, it is determined that whether described monitoring data exists the step of data disappearance, invalid data and mistake data.
In a concrete example, data attribute judges: energy consumption monitoring platform data is energy consumption measure device data (electricity consumption, water consumption, gas consumption, cold and hot amount) or sensor values (indoor (outdoor) humiture sensor, indoor (outdoor) CO2 concentration, indoor (outdoor) irradiance, outdoor PM2.5, outdoor wind speed).
Further, described monitoring data is analyzed by the described data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, comprises further:
Obtain the timed interval in the monitoring moment that each energy consumption monitoring adjacent monitoring data of equipment record is corresponding in public organizations energy consumption monitoring platforms, when described interval greater than default standard times interval time, it is determined that described monitoring data exists data disappearance.
In a concrete example, data disappearance judges: i.e. T1-T2 > �� T
Energy consumption monitoring platform has no data to lack within certain for some time; Wherein, T represents energy consumption monitoring platform data writing time, T1, T2 represents two moment of each parameter adjacent data record of energy consumption monitoring platform, �� T represents the standard times interval of energy consumption monitoring platform data record, if T1-T2 is > �� T, then there is data disappearance in the T1-T2 time period; If T1-T2=�� T, then T1-T2 time period no data disappearance.
Extract the data characteristics of described monitoring data, judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result.
In the embodiment of the present invention, the data characteristic information of energy consumption measure equipment is attribute and the feature of data, specifically comprises standard times interval, data limit value, data variation trend and the mathematical logic relation of monitoring the moment. The embodiment of the present invention by determining the data variation characteristic of the reasonable energy consumption measure equipment of equipment according to each energy consumption equipment technical parameter, determine that the energy consumption data that equipment is collected by data characteristics, scope, rule, change feature, logic relation and association relation is selected, compares, judged and logic analysis, it is achieved the disappearance of data and error correction judge.
Further, described judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result, comprise further:
Data characteristics according to described monitoring data determines whether described monitoring data is negative, when described monitoring data is negative, it is determined that described monitoring data is invalid data or mistake data;
When described monitoring data is nonnegative number, judging the span whether described monitoring data belongs to default, if not belonging to, then determining that described monitoring data is invalid data or mistake data.
In a concrete example, data limit value judges to comprise: non-negative judgement and data area judge. Wherein:
1) non-negative judgement, i.e. A >=0;
Wherein, A represents the direct reading of energy consumption monitoring platform gauge table;
The gentle table of ammeter, water meter is for measuring the electricity consumption of each energy consumption equipment, with water and gas consumption, the energy consumption data that energy consumption monitoring platform obtains is the reading of table tool own, A > 0;
Calorimeter is build total (cold) heat provided, A > 0 for measuring energy resource system or energy device; Calorimeter at least comprises instantaneous delivery in general, supplies water and return water temperature three parameters, supply water temperature, A > 0; Return water temperature A > 0; Ruo Rebiao comprises integrated flow, A > 0;
Room (interior) outer relative humidity, A > 0;
Room temp, A > 0;
External temperature, 10 months April, A > 0;
Indoor CO2 concentration, A > 0;
Room (interior) external irradiation degree, A >=0;
The outer PM2.5 concentration in room (interior), A >=0;
Outdoor wind speed, A >=0;
Outdoor wind direction, A >=0;
2) data area judges: Vx��A��Vy
Wherein, A represents the direct reading of energy consumption monitoring platform gauge table, and Vx is lower limit, and Vy is the upper limit;
The gentle table of ammeter, water meter is for measuring the electricity consumption of each energy consumption equipment, with water and gas consumption, only carry out data lower limit judgement; I.e. A > 0;
Calorimeter is build total (cold) heat provided for measuring energy resource system or energy device, only carries out data lower limit judgement to for (cold) heat; I.e. A > 0;
To instantaneous delivery parameter in calorimeter, 0��A < Vy; Vy is determined by device parameter;
To supply water temperature parameter in calorimeter, 0��A < Vy; Vy is determined by cooling or heating system and device parameter;
To return water temperature parameter in calorimeter, 0��A < Vy; Vy is determined by cooling or heating system and device parameter;
Room (interior) outer relative humidity, 0 < A < 100;
Room temp, 0 < A < 45;
External temperature ,-25 < A < 50;
Indoor CO2 concentration, 0 < A < 2000;
Room (interior) external irradiation degree, 0��A < 2000;
The outer PM2.5 concentration in room (interior), 0 < A < 1000;
Outdoor wind speed, 0��A < 10;
Outdoor wind direction, Vx��A��Vy; Vx and Vy is determined by the operating parameter of each energy consumption equipment.
Wherein, described method comprises further:
When described monitoring data belongs to default span, judging whether described monitoring data meets default data variation trend, if not meeting, then determining that described monitoring data is invalid data or mistake data.
In a concrete example, data variation characteristic judges, i.e. Vx�ܦ� A��Vy;
Wherein, �� A represents energy consumption monitoring platform gauge table t2Moment direct reading and t1The difference of moment direct reading, t2> t1; VxFor lower limit, VyFor the upper limit. VxAnd VyDetermine by institute's monitoring equipment parameter;
The gentle table of ammeter, water meter for measure each energy consumption equipment electricity consumption, with water and gas consumption, 0�ܦ� A < Vy;
Calorimeter is concentrated for (cold) heat for measuring building, 0�ܦ� A < Vy, VyDetermine by institute's monitoring equipment parameter;
Instantaneous delivery parameter in calorimeter, 0�ܦ� A < Vy,VyDetermine by institute's monitoring equipment parameter;
Return water temperature parameter in calorimeter, 0�ܦ� A < Vy,VyCooling or heating system and device parameter determine;
Supply water temperature parameter in calorimeter, 0�ܦ� A < Vy,VyCooling or heating system and device parameter determine;
Room (interior) outer relative humidity, | �� A | < Vy,VyCooling or heating system and device parameter determine;
Room (interior) outer temperature, | �� A | < Vy,VyCooling or heating system and device parameter determine;
Indoor CO2 concentration, | �� A | < Vy,VyCooling or heating system and device parameter determine;
Room (interior) external irradiation degree, | �� A | < Vy,VyCooling or heating system and device parameter determine;
The outer PM2.5 concentration in room (interior), | �� A | < Vy,VyCooling or heating system and device parameter determine;
Outdoor wind speed, | �� A | < Vy,VyCooling or heating system and device parameter determine;
Outdoor wind direction, | �� A | < Vy,VyCooling or heating system and device parameter determine.
Further, public organizations' energy consumption monitoring platform data management process that the embodiment of the present invention provides, also comprises the following steps:
When described monitoring data meets default data variation trend, judging whether described monitoring data meets mathematical logic relation, if not meeting, then determining that described monitoring data is invalid data or mistake data, wherein, described mathematical logic relation comprises total score relation and the association relation of data.
In a concrete example, mathematical logic relation judges specific as follows;
1) data total score relation: i.e. �� A=�� Ai+����An+��+��Aj(i < n < j);
Wherein, �� A represents energy consumption monitoring platform gauge table t2Moment direct reading and t1The difference of moment direct reading, t2 >t1; �� AI,��AnWith �� AjFor branch road gauge table t each in this gauge table measures range2Moment direct reading and t1The difference of moment direct reading. If each gauge table has this physics relation in public building, then table tool data should meet this logic relation.
Such as, �� A is t2Moment and t1In moment, the illumination current consumption of one layer and two layers illumination summary table metering; �� A1For t2Moment and t1Between the moment, one layer of illumination current consumption, �� A2For t2Moment and t1Between the moment, two layers of illumination current consumption;
Wherein: �� A=�� A1+��A2; �� A, �� A1With �� A2Scope determine by device parameter and the public building feature of institute's monitoring equipment;
If each strapping table has the quantitative relation of summary table and submeter in building, data total score relation should be carried out and judge.
Ammeter, �� A=�� Ai+����An+��+��Aj(i < n < j);
Water meter, �� A=�� Ai+����An+��+��Aj(i < n < j);
Gas table, �� A=�� Ai+����An+��+��Aj(i < n < j);
Calorimeter, �� A=�� Ai+����An+��+��Aj(i < n < j).
2) relation is associated: i.e. A B > 0 or A B ... N > 0
Wherein, A, B; A, B and N are one or more build-in attributes of certain energy consumption measure equipment, and relevant association. In principle, when A attribute is set up, B attribute is set up, or when A attribute is set up, B ... set up with N attribute simultaneously.
Such as, certain public building supplies cold-peace heat supply by cold, when cold is in running status, and confession (cold) the heat > 0 of cold. Whether cold is in running status is characterized by cold current consumption, it is assumed that attribute A, if cold is in running status, i.e. and A > VxAnd Vx> 0, confession (cold) heat of cold, it is assumed that B, then B > VyAnd Vy> 0.
In addition, for aforesaid method embodiment, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of operation, secondly, those skilled in the art also should know, the embodiment described in specification sheets all belongs to preferred embodiment, and involved action might not be that the present invention is necessary.
Based on the invention same with method design, the embodiment of the present invention additionally provides a kind of public organizations energy consumption monitoring platform data management devices, and Fig. 2 shows the structural representation of public organizations' energy consumption monitoring platform data management devices of the embodiment of the present invention.
With reference to Fig. 2, public organizations' energy consumption monitoring platform data management devices that the embodiment of the present invention proposes, specifically comprises acquiring unit 201, determining unit 202 and processing unit 203, wherein:
Described acquiring unit 201, for obtaining the monitoring data of each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform;
Described determining unit 202, determines the data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform for the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform;
Described processing unit 203, for described monitoring data being analyzed based on the data characteristic information of described energy consumption measure equipment, determine whether described monitoring data exists data disappearance, invalid data and mistake data, to realize online quality judging and the error analysis of data.
Public organizations' energy consumption monitoring platform data management devices that the embodiment of the present invention provides, by the data being gathered by building energy consumption monitoring platform and recording, according to the data characteristic information of the energy consumption measure equipment of data, carries out lacking and misidentification.The embodiment of the present invention solves the phenomenons such as data disappearance that monitoring emery consumption of public buildings platform exists for a long time, data mistake, data entanglement. Rapidly energy-consumption monitoring system collection and the various data that are recorded to can be lacked, unreasonable and false judgment, data are carried out online quality judging, maximum degree improves energy consumption monitoring platform data quality, reduce the problems such as the building energy consumption platform property caused by energy consumption monitoring platform data disappearance, mistake is poor, information errors, direct and the indirect economic loss avoiding thus causing in time, establishes data gathering and the analysis foundation of hard stone for realizing building energy conservation.
Further, described device also comprises unshowned judging unit in accompanying drawing;
Described judging unit, for judging described monitoring data whether as preset data type according to the data attribute of described monitoring data, when described monitoring data is preset data type, described processing unit performs the described data characteristic information based on described energy consumption measure equipment and described monitoring data is analyzed, it is determined that whether there is the operation of data disappearance, invalid data and mistake data in described monitoring data. The embodiment of the present invention is by before determining whether there is data disappearance and invalid data in described monitoring data, judge monitoring data whether as preset data type according to the data attribute of monitoring data in advance, further ensure data disappearance and accuracy that invalid data judges.
For device embodiment, due to itself and corresponding embodiment of the method basic simlarity, so what describe is fairly simple, relevant part illustrates see the part of embodiment of the method.
In sum, public organizations' energy consumption monitoring platform data management process that the embodiment of the present invention provides and device, rapidly the various data gathered and be recorded to can be carried out data disappearance, invalid data and mistake data judge, data are carried out online quality judging, maximum degree improves energy consumption monitoring platform data quality, reduce and lack by energy consumption monitoring platform data, the building energy consumption platform property that mistake causes is poor, the problems such as information errors, and the direct and indirect economic loss avoiding thus causing in time, data gathering and the analysis foundation of hard stone is established for realizing building energy conservation.
Through the above description of the embodiments, the technician of this area can be well understood to the present invention and can pass through hardware implementing, it is also possible to the mode adding necessary general hardware platform by software realizes. Based on such understanding, the technical scheme of the present invention can embody with the form of software product, it (can be CD-ROM that this software product can be stored in a non-volatile memory medium, USB flash disk, portable hard drive etc.) in, comprise some instructions with so that a computer equipment (can be Personal Computer, server, or the network equipment etc.) performs the method described in each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, module or flow process in accompanying drawing might not be that enforcement the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the system in embodiment can describe according to embodiment to carry out being distributed in the system of embodiment, it is also possible to carry out respective change and be arranged in the one or more systems being different from the present embodiment. The module of above-described embodiment can merge into a module, it is also possible to splits into multiple submodule block further.
The above is only the part enforcement mode of the present invention; it is noted that for those skilled in the art, under the premise without departing from the principles of the invention; can also making some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. public organizations' energy consumption monitoring platform data management process, it is characterised in that, comprising:
Obtain the monitoring data of each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform;
The data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform is determined according to the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform;
Described monitoring data is analyzed by the data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, to realize online quality judging and the error analysis of data.
2. method according to claim 1, it is characterized in that, described monitoring data is analyzed by the described data characteristic information based on described energy consumption measure equipment, it is determined that before whether there are data disappearance, invalid data and mistake data in described monitoring data, also comprise:
Data attribute according to described monitoring data judges described monitoring data whether as preset data type, perform the described data characteristic information based on described energy consumption measure equipment described monitoring data to be analyzed when described monitoring data is preset data type, it is determined that whether described monitoring data exists the step of data disappearance, invalid data and mistake data.
3. method according to claim 1, it is characterised in that, the data characteristic information of described energy consumption measure equipment comprises standard times interval, data limit value, data variation trend and the mathematical logic relation of monitoring the moment.
4. method according to claim 3, it is characterized in that, described monitoring data is analyzed by the described data characteristic information based on described energy consumption measure equipment, it is determined that whether there are data disappearance, invalid data and mistake data in described monitoring data, comprises further:
Obtain the timed interval in the monitoring moment that each energy consumption monitoring adjacent monitoring data of equipment record is corresponding in public organizations energy consumption monitoring platforms, when described interval greater than default standard times interval time, it is determined that described monitoring data exists data disappearance;
Extract the data characteristics of described monitoring data, judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result.
5. method according to claim 4, it is characterized in that, described judge whether the data characteristics of described monitoring data mates with the data characteristic information of described energy consumption measure equipment, determine that described monitoring data is invalid data or mistake data according to matching result, comprise further:
Data characteristics according to described monitoring data determines whether described monitoring data is negative, when described monitoring data is negative, it is determined that described monitoring data is invalid data or mistake data;
When described monitoring data is nonnegative number, judging the span whether described monitoring data belongs to default, if not belonging to, then determining that described monitoring data is invalid data or mistake data.
6. method according to claim 5, it is characterised in that, described method comprises further:
When described monitoring data belongs to default span, judging whether described monitoring data meets default data variation trend, if not meeting, then determining that described monitoring data is invalid data or mistake data.
7. method according to claim 6, it is characterised in that, described method comprises further:
When described monitoring data meets default data variation trend, judging whether described monitoring data meets mathematical logic relation, if not meeting, then determining that described monitoring data is invalid data or mistake data;
Concrete, described mathematical logic relation comprises total score relation and the association relation of data.
8. method according to the arbitrary item of claim 1-7, it is characterised in that, described monitoring data comprises: electricity consumption, by water, combustion gas, central heating amount, concentrate semen donors and renewable energy source data.
9. public organizations' energy consumption monitoring platform data management devices, it is characterised in that, comprising:
Acquiring unit, for obtaining the monitoring data of each energy consumption monitoring equipment in public organizations' energy consumption monitoring platform;
Determining unit, for determining the data characteristic information of energy consumption measure equipment in public organizations' energy consumption monitoring platform according to the characteristic sum operation condition of each energy consumption equipment in public organizations' energy consumption monitoring platform;
Processing unit, for described monitoring data being analyzed based on the data characteristic information of described energy consumption measure equipment, determine whether described monitoring data exists data disappearance, invalid data and mistake data, to realize online quality judging and the error analysis of data.
10. device according to claim 9, it is characterised in that, described device also comprises:
Judging unit, for judging described monitoring data whether as preset data type according to the data attribute of described monitoring data, when described monitoring data is preset data type, described processing unit performs the described data characteristic information based on described energy consumption measure equipment and described monitoring data is analyzed, it is determined that whether there is the operation of data disappearance, invalid data and mistake data in described monitoring data.
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