CN105654238B - Data management method and device for public institution energy consumption monitoring platform - Google Patents
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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 invention relates to the technical field of data monitoring, in particular to a data management method and device for an energy consumption monitoring platform of a public institution.
Background
In large institutional energy management systems, data defects are inevitable. The source of the system comprises poor reliability of a low-cost sensor (relative to the industry) for the building, incapability of correctly reflecting a measured value due to the limitation of the installation position and the existing electromechanical system on the installation of a data acquisition point, high failure rate of a data transmission system, special working conditions of operation at part of time and the like; the data of the surface number calculated by GB and even TB must be subjected to online defect diagnosis and error correction technology to improve the data quality of the energy consumption monitoring platform and identify defect data, so that the availability of the energy management system can be effectively improved, and effective high-quality first-hand basic data is provided for realizing building energy conservation.
At present, the current situation in the industry is not optimistic, and it can be said that the data quality of a large number of building energy consumption monitoring platforms is not high, and a large number of public building energy consumption monitoring systems are endangered to be paralyzed due to the problems of data loss, data errors, data disorder and the like. Currently, the industry still remains in the manual stage for data defect discovery and correction, no suitable computer algorithm can be applied, and no systematic theory or method can guide practice. Therefore, there is a need to provide a data management method for an institutional energy consumption monitoring platform to accurately determine data loss and error correction.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a method and apparatus for data management of an institutional energy consumption monitoring platform that overcomes or at least partially solves or alleviates the above-mentioned problems, so as to achieve accurate determination of data loss and error correction.
According to one aspect of the invention, the data management method for the public institution energy consumption monitoring platform comprises the following steps:
acquiring monitoring data of each energy consumption monitoring device in a public institution energy consumption monitoring platform;
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 all energy consumption equipment in the public institution energy consumption monitoring platform;
and 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.
Wherein, before analyzing the monitoring data based on the data characteristic information of the energy consumption metering device and determining whether data missing, invalid data and error data exist in the monitoring data, the method further comprises:
and judging whether the monitoring data is of a preset data type or not according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, executing the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determining whether data loss, invalid data and error data exist in the monitoring data or not.
The data characteristic information of the energy consumption metering equipment comprises a standard time interval of monitoring time, a data limit value, a data change trend and a data logic relation.
Analyzing the monitoring data based on the data characteristic information of the energy consumption metering equipment to determine whether data missing, invalid data and error data exist in the monitoring data, and further comprising:
acquiring a time interval of monitoring moments corresponding to adjacent monitoring data recorded by each energy consumption monitoring device in an energy consumption monitoring platform of a public institution, and determining that data is missing in the monitoring data when the time interval is greater than a preset standard time interval;
and extracting the data characteristics of the monitoring data, judging whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering equipment or not, and determining that the monitoring data are invalid data or error data according to the matching result.
Wherein, the judging whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering equipment or not and determining that the monitoring data are invalid data or error data according to the matching result further comprises:
determining whether the monitoring data is negative according to the data characteristics of the monitoring data, and determining that the monitoring data is invalid data or error data when the monitoring data is negative;
and when the monitoring data is non-negative, judging whether the monitoring data belongs to a preset value range, and if not, determining that the monitoring data is invalid data or error data.
Wherein the method further comprises:
and when the monitoring data belong to a preset value range, judging whether the monitoring data accord with a preset data change trend, and if not, determining that the monitoring data are invalid data or error data.
Wherein the method further comprises:
when the monitoring data accord with a preset data change trend, judging whether the monitoring data accord with a data logic relation or not, and if not, determining that the monitoring data are invalid data or error data;
specifically, the data logical relationship includes a total score relationship and an association relationship of the data.
Wherein the monitoring data comprises: electricity, water, gas, centralized heat supply, centralized cold supply and renewable energy data.
According to another aspect of the present invention, there is provided an institutional energy consumption monitoring platform data management apparatus comprising:
the system comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring monitoring data of each energy consumption monitoring device in an energy consumption monitoring platform of a public institution;
the determining unit is used for determining data characteristic information of the energy consumption metering equipment in the public institution energy consumption monitoring platform according to the characteristics and the operating conditions of all energy consumption equipment in the public institution energy consumption monitoring platform;
and the processing unit is used for 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.
Wherein the apparatus further comprises:
and the judging unit is used for judging whether the monitoring data is of a preset data type according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, the processing unit executes the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determine whether data loss, invalid data and error data exist in the monitoring data.
The invention has the beneficial effects that:
the data management method and the device for the energy consumption monitoring platform of the public institution, provided by the invention, can rapidly carry out deletion, unreasonable and error judgment on various collected and recorded data, carry out online quality judgment on the data, improve the data quality of the energy consumption monitoring platform to the maximum extent, reduce the problems of poor performance of the energy consumption platform of the building, information errors and the like caused by the data deletion and errors of the energy consumption monitoring platform, and timely avoid direct and indirect economic losses caused by the data deletion and the errors.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of a data management method for an institutional energy consumption monitoring platform according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a data management device of an energy consumption monitoring platform of a public institution according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Fig. 1 shows a flowchart of a data management method of an institutional energy consumption monitoring platform according to an embodiment of the present invention.
Referring to fig. 1, a method for managing data of a monitoring platform for energy consumption of a public institution according to an embodiment of the present invention includes:
and S11, acquiring monitoring data of each energy consumption monitoring device in the public institution energy consumption monitoring platform.
In this embodiment, the monitoring data includes: electricity, water, gas, centralized heat supply, centralized cold supply and renewable energy data.
Understandably, the energy consumption monitoring device in the embodiment mainly comprises a data monitoring instrument and a data acquisition sensor. Wherein the sensor types include: indoor temperature and humidity sensors, indoor illumination sensors, outdoor temperature and humidity sensors, outdoor solar irradiance, outdoor PM2.5 concentration, outdoor wind speed and wind direction data.
And S12, determining data characteristic information of the 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.
It can be understood that the energy consumption device in this embodiment is a building energy consumption device, and specifically includes: lighting, sockets, air-conditioning equipment (cold and heat source systems, air-conditioning water systems, air-conditioning wind systems), power electricity (elevators, water pumps, ventilators), special electricity (information centers, laundry rooms, kitchens, swimming pools, gymnasiums, clean rooms, etc.).
The data characteristic information packet of the energy consumption metering equipment is the attribute and the characteristic of data, and specifically comprises a standard time interval of monitoring time, a data limit value, a data change trend and a data logic relation.
S13, analyzing the monitoring data based on the data characteristic information of the energy consumption metering equipment, and determining whether the monitoring data has data missing, invalid data and error data so as to realize online quality judgment and error analysis of the data.
According to the data management method for the energy consumption monitoring platform of the public institution, loss and error identification are carried out on the data acquired and recorded by the building energy consumption monitoring platform according to the data characteristic information of the energy consumption metering equipment of the data. The embodiment of the invention solves the problems of data loss, data error, data disorder and the like existing for a long time in the public building energy consumption monitoring platform. The building energy consumption monitoring platform can rapidly perform missing, unreasonable and error judgment on various data acquired and recorded by the energy consumption monitoring system, perform online quality judgment on the data, improve the data quality of the energy consumption monitoring platform to the maximum extent, reduce the problems of poor performance of the building energy consumption platform, information error and the like caused by the data missing and the error of the energy consumption monitoring platform, timely avoid direct and indirect economic loss caused by the data missing and the error of the energy consumption monitoring platform, and lay a firm data collection and analysis foundation for realizing building energy conservation.
According to a preferred embodiment of the present invention, before step S13, the method further includes: and judging whether the monitoring data is of a preset data type or not according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, executing the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determining whether data loss, invalid data and error data exist in the monitoring data or not.
In one specific example, the data attribute determines: the energy consumption monitoring platform data is energy consumption metering equipment data (electricity consumption, water consumption, gas consumption and cold and heat quantity) or sensor values (indoor (outdoor) temperature and humidity sensors, indoor (outdoor) CO2 concentration, indoor (outdoor) irradiance, outdoor PM2.5 and outdoor wind speed).
Further, the analyzing the monitoring data based on the data characteristic information of the energy consumption metering device to determine whether data missing, invalid data and error data exist in the monitoring data further includes:
the method comprises the steps of obtaining a time interval of monitoring moments corresponding to adjacent monitoring data recorded by each energy consumption monitoring device in an energy consumption monitoring platform of a public institution, and determining that data is missing in the monitoring data when the time interval is larger than a preset standard time interval.
In one specific example, data missing determination: namely T1-T2 > Δ T
Whether the energy consumption monitoring platform has data loss within a certain period of time or not is judged; wherein T represents the data recording time of the energy consumption monitoring platform, T1 and T2 represent two adjacent data recording moments of each parameter of the energy consumption monitoring platform, delta T represents the standard time interval of the data recording of the energy consumption monitoring platform, and if T1-T2 is greater than delta T, data loss exists in the time period of T1-T2; if T1-T2 is Δ T, no data is missing in the T1-T2 time period.
And extracting the data characteristics of the monitoring data, judging whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering equipment or not, and determining that the monitoring data are invalid data or error data according to the matching result.
In the embodiment of the invention, the data characteristic information of the energy consumption metering equipment is the attribute and the characteristic of data, and specifically comprises a standard time interval, a data limit value, a data change trend and a data logic relation of a monitoring moment. According to the embodiment of the invention, the data change characteristics of the reasonable energy consumption metering equipment of the equipment are determined according to the technical parameters of each energy consumption equipment, and the data characteristics, range, rule, change characteristics, logical relationship and association relationship are determined to screen, compare, judge and logically analyze the energy consumption data acquired by the equipment, so that the data loss and error correction judgment is realized.
Further, the determining whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering device, and determining that the monitoring data are invalid data or error data according to a matching result further includes:
determining whether the monitoring data is negative according to the data characteristics of the monitoring data, and determining that the monitoring data is invalid data or error data when the monitoring data is negative;
and when the monitoring data is non-negative, judging whether the monitoring data belongs to a preset value range, and if not, determining that the monitoring data is invalid data or error data.
In one specific example, the data limit determination includes: a non-negative determination and a data range determination. Wherein:
1) non-negative judgment, namely A is more than or equal to 0;
wherein A represents the direct reading of the metering gauge of the energy consumption monitoring platform;
the electric meter, the water meter and the gas meter are used for metering the electricity, water and gas consumption of each energy consumption device, the energy consumption data acquired by the energy consumption monitoring platform is the reading of the meter, and A is more than 0;
the heat meter is used for metering the total (cold) heat quantity provided by an energy system or energy equipment for a building, and A is more than 0; generally speaking, the heat meter at least comprises three parameters of instantaneous flow, water supply temperature and water return temperature, wherein A is more than 0; the return water temperature A is more than 0; if the heat meter comprises the accumulated flow, A is more than 0;
relative humidity outside (inside) room, A > 0;
indoor temperature, A > 0;
outdoor temperature, 4-10 months, A > 0;
indoor CO2 concentration, A > 0;
irradiance outside the room (inside), A is more than or equal to 0;
PM2.5 concentration outside the chamber (inside), A is more than or equal to 0;
outdoor wind speed A is more than or equal to 0;
outdoor wind direction, A is more than or equal to 0;
2) and (3) judging the data range: vx is less than or equal to A and less than or equal to Vy
Wherein A represents the direct reading of the energy consumption monitoring platform metering gauge, Vx is the lower limit, and Vy is the upper limit;
the electric meter, the water meter and the gas meter are used for metering the electricity, water and gas consumption of each energy consumption device and only performing data lower limit judgment; namely A is more than 0;
the heat meter is used for measuring the total (cold) heat quantity provided by an energy system or energy equipment for a building and only carrying out data lower limit judgment on the heat quantity supplied (cold) heat quantity; namely A is more than 0;
for instantaneous flow parameters in the heat meter, A is more than or equal to 0 and less than Vy; vy is determined by equipment parameters;
a is more than or equal to 0 and is less than Vy for the water supply temperature parameter in the heat meter; vy is determined by the cooling or heating system form and equipment parameters;
for return water temperature parameters in the heat meter, A is more than or equal to 0 and less than Vy; vy is determined by the cooling or heating system form and equipment parameters;
relative humidity between the inside and the outside of the room (the inside) is more than 0 and less than 100;
the indoor temperature is more than 0 and less than 45;
outdoor temperature, -25 < A < 50;
the concentration of indoor CO2 is more than 0 and less than 2000;
irradiance outside the room (inside), A is more than or equal to 0 and less than 2000;
the PM2.5 concentration outside the chamber (inside) is more than 0 and less than 1000;
outdoor wind speed, A is more than or equal to 0 and less than 10;
outdoor wind direction, Vx is not less than A and not more than Vy; vx and Vy are determined by the operating parameters of each energy consuming device.
Wherein the method further comprises:
and when the monitoring data belong to a preset value range, judging whether the monitoring data accord with a preset data change trend, and if not, determining that the monitoring data are invalid data or error data.
In one specific example, the data change characteristic is judged, namely Vx is less than or equal to delta A and less than or equal to Vy;
wherein, Delta A represents the energy consumption monitoring platform metering gauge t2Time of day direct reading and t1Difference of direct readings at time, t2＞t1；VxAt a lower limit of VyIs the upper limit. VxAnd VyDetermined by the monitored device parameter;
the electric meter, the water meter and the gas meter are used for metering the electricity, water and gas consumption of each energy consumption device, wherein delta A is more than or equal to 0 and less than Vy；
The calorimeter is used for measuring the central heat supply (cold) quantity of the building, and delta A is more than or equal to 0 and less than Vy，VyDetermined by the monitored device parameter;
instantaneous in heat meterFlow parameter, 0 ≤ Δ A < Vy,VyDetermined by the monitored device parameter;
return water temperature parameter in calorimeter, delta A is more than or equal to 0 and less than Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
the temperature parameter of water supply in the heat meter is that delta A is more than or equal to 0 and less than Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
relative humidity of indoor (indoor) and outdoor, | delta A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
indoor (indoor) and outdoor temperature, | delta A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
indoor CO2 concentration, | Δ A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
indoor (indoor) and outdoor irradiance, | delta A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
PM2.5 concentration outside (inside) room, | Delta A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
outdoor wind speed, | Δ A | < Vy,VyDetermining the form and equipment parameters of a cooling or heating system;
outdoor wind direction, | Δ A | < Vy,VyCooling or heating system form and equipment parameters.
Further, the method for managing the data of the monitoring platform of the energy consumption of the public institution provided by the embodiment of the invention further comprises the following steps:
and when the monitoring data accord with a preset data change trend, judging whether the monitoring data accord with a data logic relationship, if not, determining that the monitoring data are invalid data or error data, wherein the data logic relationship comprises a total score relationship and an incidence relationship of the data.
In one specific example, the data logical relationship decision is specifically as follows;
1) data total score relation: i.e. Δ a ═ Δ ai+…ΔAn+…+ΔAj(i＜n＜j)；
Wherein, Delta A represents a certain metering gauge t of the energy consumption monitoring platform2Time of day direct reading and t1Difference of direct readings at time, t2＞t1；ΔAi，ΔAnAnd Δ AjFor each branch measuring meter t in the measuring range of the measuring meter2Time of day direct reading and t1Difference of time instant direct readings. If each meter in the public building has the physical relationship, the meter data should satisfy the logical relationship.
For example, Δ A is t2Time t and1lighting power consumption measured by the first-layer and second-layer lighting general tables in time; delta A1Is t2Time t and1time of day, one layer of lighting power consumption, Δ A2Is t2Time t and1in the time, the power consumption of the two-layer illumination is reduced;
wherein: Δ a ═ Δ a1+ΔA2；ΔA，ΔA1And Δ A2The range of (a) is determined by the equipment parameters of the monitored equipment and the public building characteristics;
if each meter in the building has a metering relation of a total meter and a branch meter, the total and branch relation of data is judged.
Electric meter, Δ a ═ Δ ai+…ΔAn+…+ΔAj(i＜n＜j)；
Water meter, Δ a ═ Δ ai+…ΔAn+…+ΔAj(i＜n＜j)；
Gas meter,. DELTA.A.. DELTA.Ai+…ΔAn+…+ΔAj(i＜n＜j)；
Calorimeter, Delta A ═ Delta Ai+…ΔAn+…+ΔAj(i＜n＜j)。
2) The association relationship is as follows: namely A.B > 0 or A.B. …. N > 0
Wherein, A and B; a, B and N are one or more inherent properties of certain energy consumption metering equipment and are related. In principle, the B attribute holds when the a attribute holds, or the B, … and N attributes hold simultaneously when the a attribute holds.
E.g. a public buildingThe cold supply and heat supply of the cold machine are built, and when the cold machine is in a running state, the heat supply (cold) quantity of the cold machine is more than 0. Whether the refrigerator is in the running state is represented by the power consumption of the refrigerator, if the attribute is A, if the refrigerator is in the running state, A is more than VxAnd V isx0, the heat supply (cold) of the cold machine, and B > V if B is assumedyAnd V isy＞0。
In addition, for the sake of simplicity, the above method embodiments are described as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence, and those skilled in the art should understand that the embodiments described in the specification belong to the preferred embodiments, and the actions involved are not necessarily required by the present invention.
Based on the same inventive concept as the method, the embodiment of the invention also provides a data management device of the public institution energy consumption monitoring platform, and fig. 2 shows a schematic structural diagram of the data management device of the public institution energy consumption monitoring platform of the embodiment of the invention.
Referring to fig. 2, the data management apparatus for monitoring a platform of energy consumption of a public institution according to an embodiment of the present invention specifically includes an obtaining unit 201, a determining unit 202, and a processing unit 203, where:
the acquiring unit 201 is configured to acquire monitoring data of each energy consumption monitoring device in the public institution energy consumption monitoring platform;
the determining unit 202 is configured to determine data characteristic information of the energy consumption metering device in the public institution energy consumption monitoring platform according to the characteristics and the operating conditions of each energy consumption device in the public institution energy consumption monitoring platform;
the processing unit 203 is configured to analyze the monitoring data based on the data characteristic information of the energy consumption metering device, and determine whether the monitoring data has data missing, invalid data, and error data, so as to implement online quality determination and error analysis of the data.
According to the data management device for the energy consumption monitoring platform of the public institution, provided by the embodiment of the invention, loss and error identification are carried out on the data acquired and recorded by the building energy consumption monitoring platform according to the data characteristic information of the energy consumption metering equipment of the data. The embodiment of the invention solves the problems of data loss, data error, data disorder and the like existing for a long time in the public building energy consumption monitoring platform. The method can rapidly carry out deletion, unreasonable and error judgment on various data acquired and recorded by the energy consumption monitoring system, carry out online quality judgment on the data, improve the data quality of the energy consumption monitoring platform to the maximum extent, reduce the problems of poor performance of the building energy consumption platform, information error and the like caused by the data deletion and the error of the energy consumption monitoring platform, avoid direct and indirect economic losses caused by the problems in time, and lay a firm data collection and analysis foundation for realizing building energy conservation.
Further, the apparatus further includes a judging unit not shown in the drawings;
the judging unit is used for judging whether the monitoring data is of a preset data type or not according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, the processing unit executes the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determines whether data missing, invalid data and error data exist in the monitoring data or not. According to the embodiment of the invention, before determining whether the monitoring data has data missing and invalid data, whether the monitoring data is in a preset data type is determined in advance according to the data attribute of the monitoring data, so that the accuracy of determining the data missing and invalid data is further ensured.
For the device embodiment, since it is basically similar to the corresponding method embodiment, the description is relatively simple, and for the relevant points, refer to the partial description of the method embodiment.
In summary, the method and the device for managing the data of the energy consumption monitoring platform of the public institution, provided by the embodiment of the invention, can rapidly perform data loss, invalid data and error data judgment on various collected and recorded data, perform online quality judgment on the data, improve the data quality of the energy consumption monitoring platform to the greatest extent, reduce the problems of poor performance of the energy consumption platform of the building, information error and the like caused by the data loss and error of the energy consumption monitoring platform, avoid direct and indirect economic loss caused by the data loss and the error of the energy consumption monitoring platform in time, and lay a firm foundation for data collection and analysis for realizing energy conservation of the building.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention may be implemented by hardware, or by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
Those skilled in the art will appreciate that the drawings are merely schematic representations of one preferred embodiment and that the blocks or flow diagrams in the drawings are not necessarily required to practice the present invention.
Those skilled in the art will appreciate that the modules in the system in the embodiment can be distributed in the system in the embodiment according to the description of the embodiment, and the corresponding changes can be made in one or more systems different from the embodiment. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (5)
1. A data management method for an institution energy consumption monitoring platform is characterized by comprising the following steps:
acquiring monitoring data of each energy consumption monitoring device in a public institution energy consumption monitoring platform;
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 all energy consumption 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 data characteristic information of the energy consumption metering equipment comprises a standard time interval, a data limit value, a data change trend and a data logic relation at the monitoring moment;
analyzing the monitoring data based on the data characteristic information of the energy consumption metering equipment to determine whether data missing, invalid data and error data exist in the monitoring data, and further comprising:
acquiring a time interval of monitoring moments corresponding to adjacent monitoring data recorded by each energy consumption monitoring device in an energy consumption monitoring platform of a public institution, and determining that data is missing in the monitoring data when the time interval is greater than a preset standard time interval;
extracting data characteristics of the monitoring data, judging whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering equipment or not, and determining that the monitoring data are invalid data or error data according to a matching result;
the determining whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering device and determining that the monitoring data are invalid data or error data according to a matching result further includes:
determining whether the monitoring data is negative according to the data characteristics of the monitoring data, and determining that the monitoring data is invalid data or error data when the monitoring data is negative;
when the monitoring data is non-negative, judging whether the monitoring data belongs to a preset value range, and if not, determining that the monitoring data is invalid data or error data;
the method further comprises:
when the monitoring data belong to a preset value range, judging whether the monitoring data accord with a preset data change trend, if not, determining that the monitoring data are invalid data or error data;
the method further comprises:
when the monitoring data accord with a preset data change trend, judging whether the monitoring data accord with a data logic relation or not, and if not, determining that the monitoring data are invalid data or error data;
specifically, the data logical relationship includes a total score relationship and an association relationship of the data.
2. The method of claim 1, wherein before analyzing the monitoring data based on the data characteristic information of the energy consumption metering device to determine whether there are data missing, invalid data and error data in the monitoring data, the method further comprises:
and judging whether the monitoring data is of a preset data type or not according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, executing the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determining whether data loss, invalid data and error data exist in the monitoring data or not.
3. The method of any of claims 1-2, wherein the monitoring data comprises: electricity, water, gas, centralized heat supply, centralized cold supply and renewable energy data.
4. A utility energy consumption monitoring platform data management device, comprising:
the system comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring monitoring data of each energy consumption monitoring device in an energy consumption monitoring platform of a public institution;
the determining unit is used for determining data characteristic information of the energy consumption metering equipment in the public institution energy consumption monitoring platform according to the characteristics and the operating conditions of all energy consumption equipment in the public institution energy consumption monitoring platform;
the processing unit is used for 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 data characteristic information of the energy consumption metering equipment comprises a standard time interval, a data limit value, a data change trend and a data logic relation at the monitoring moment;
analyzing the monitoring data based on the data characteristic information of the energy consumption metering equipment to determine whether data missing, invalid data and error data exist in the monitoring data, and further comprising:
acquiring a time interval of monitoring moments corresponding to adjacent monitoring data recorded by each energy consumption monitoring device in an energy consumption monitoring platform of a public institution, and determining that data is missing in the monitoring data when the time interval is greater than a preset standard time interval;
extracting data characteristics of the monitoring data, judging whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering equipment or not, and determining that the monitoring data are invalid data or error data according to a matching result;
the determining whether the data characteristics of the monitoring data are matched with the data characteristic information of the energy consumption metering device and determining that the monitoring data are invalid data or error data according to a matching result further includes:
determining whether the monitoring data is negative according to the data characteristics of the monitoring data, and determining that the monitoring data is invalid data or error data when the monitoring data is negative;
when the monitoring data is non-negative, judging whether the monitoring data belongs to a preset value range, and if not, determining that the monitoring data is invalid data or error data;
the apparatus is further configured to:
when the monitoring data belong to a preset value range, judging whether the monitoring data accord with a preset data change trend, if not, determining that the monitoring data are invalid data or error data;
the apparatus is further configured to:
when the monitoring data accord with a preset data change trend, judging whether the monitoring data accord with a data logic relation or not, and if not, determining that the monitoring data are invalid data or error data;
specifically, the data logical relationship includes a total score relationship and an association relationship of the data.
5. The apparatus of claim 4, further comprising:
and the judging unit is used for judging whether the monitoring data is of a preset data type according to the data attribute of the monitoring data, and when the monitoring data is of the preset data type, the processing unit executes the data characteristic information based on the energy consumption metering equipment to analyze the monitoring data and determine whether data loss, invalid data and error data exist in the monitoring data.
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| CN106768044A (en) * | 2016-12-21 | 2017-05-31 | 潘小胜 | A kind of building energy consumption detection method |
| CN110084158B (en) * | 2019-04-15 | 2021-01-29 | 杭州拓深科技有限公司 | Electric equipment identification method based on intelligent algorithm |
| CN110704406B (en) * | 2019-08-30 | 2020-12-15 | 珠海格力电器股份有限公司 | Energy data processing method, device and equipment |
| CN110907587A (en) * | 2019-10-15 | 2020-03-24 | 山东工商学院 | Portable formaldehyde detector |
| CN113516444A (en) * | 2021-04-23 | 2021-10-19 | 广州远正智能科技股份有限公司 | Public institution energy consumption data mobile terminal calculation method, system and readable storage medium |
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