CN110473309B - Subway energy meter data processing method and device - Google Patents
Subway energy meter data processing method and device Download PDFInfo
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Abstract
The invention discloses a subway energy meter data processing method and device. The method has the advantages that the power consumption of system acquisition can be reduced by uploading meter data after the fact that the data acquired twice in the adjacent time are determined to be changed, then the currently uploaded meter data is processed according to the period to which the currently uploaded meter data belongs and the meter data uploaded last time, and the accumulated processing of the meter data can be realized, so that the defects can be checked and repaired when the data acquisition fails, the data defects are reduced, and the accuracy of data accumulation is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of rail transit, in particular to a method and a device for processing subway energy meter data.
Background
Along with the increase of urban rail transit mileage and the continuous rise of electric charges, the pressure of energy conservation and emission reduction and the pressure of energy consumption cost faced by subway operation companies are getting bigger and bigger, some energy management measures and energy conservation transformation are adopted for some cities aiming at the situation, but because the relevant data support of accurate and real-time energy consumption is not available, the energy conservation measures and effects are difficult to accurately quantify, and meanwhile, because an energy information basis is lacked and an energy key technology is difficult to effectively and comprehensively implement, a set of complete subway energy meter data processing method needs to be established, and a strong-oriented optimization control technology and management measure are adopted on the basis of acquiring detailed and practical energy consumption data, so that the real-time performance and the accuracy of the subway energy meter data are ensured, and effective data support is provided for subway energy conservation.
The existing energy management system is limited by the problems that the existing subway meter is not completely installed, not all data are collected and the like, so that only total energy consumption data can be acquired, extensive energy management is carried out, and classified, itemized and household energy data cannot be effectively acquired.
The existing energy management system has large acquisition intervals, and if network stability problems such as network breakage and the like are encountered, the data has large gaps, and relatively accurate data cannot be provided.
Disclosure of Invention
The embodiment of the invention provides a data processing method and device for a subway energy meter, which are used for solving the problem that data cannot be accurately acquired if a fault occurs during acquisition in the conventional subway meter acquisition mode.
In a first aspect, the embodiment of the invention provides a method for processing data of a subway energy meter, which includes:
acquiring currently uploaded meter data, wherein the meter data is uploaded after the data acquired twice in the adjacent process is determined to be changed;
and processing the currently uploaded meter data according to the cycle of the currently uploaded meter data and the last uploaded meter data.
According to the technical scheme, the power consumption of system acquisition can be reduced by uploading meter data after the fact that the data acquired twice adjacently are determined to change, then the currently uploaded meter data are processed according to the period to which the currently uploaded meter data belong and the last uploaded meter data, and the accumulated processing of the meter data can be achieved, so that when the data acquisition fails, missing and missing can be eliminated, the data missing is reduced, and the accuracy of data accumulation is improved.
Optionally, the processing the currently uploaded meter data according to the period to which the currently uploaded meter data belongs and the last uploaded meter data includes:
if the cycle to which the currently uploaded meter data belongs is the current cycle, determining a difference value between the currently uploaded meter data and the last uploaded meter data; adding the difference value and the currently uploaded meter data into the accumulated value of the current period, and storing the accumulated value of the current period into a database when the current period is finished;
and if the period to which the currently uploaded meter data belongs is a new period, adding the currently uploaded meter data into the accumulated value of the new period, and restarting period timing.
Optionally, the method further includes:
regularly inquiring whether the accumulated value stored in the database is complete;
if not, determining a data reference day according to the time of the missing data, and determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data with the time on the data reference day;
and supplementing the missing data according to the data of the date of the missing data and the allocation proportion of the data supplementation.
Optionally, the allocation ratio of the data supplement is determined according to formula (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnData on the reference day for the nth hour.
In a second aspect, an embodiment of the present invention provides a data processing apparatus for a metro energy meter, including:
the acquisition unit is used for acquiring meter data which is uploaded currently, wherein the meter data is uploaded after the data acquired twice in the adjacent process is determined to be changed;
and the processing unit is used for processing the currently uploaded meter data according to the cycle of the currently uploaded meter data and the last uploaded meter data.
Optionally, the processing unit is specifically configured to:
if the cycle to which the currently uploaded meter data belongs is the current cycle, determining a difference value between the currently uploaded meter data and the last uploaded meter data; adding the difference value and the currently uploaded meter data into the accumulated value of the current period, and storing the accumulated value of the current period into a database when the current period is finished;
and if the period to which the currently uploaded meter data belongs is a new period, adding the currently uploaded meter data into the accumulated value of the new period, and restarting period timing.
Optionally, the processing unit is further configured to:
regularly inquiring whether the accumulated value stored in the database is complete;
if not, determining a data reference day according to the time of the missing data, and determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data with the time on the data reference day;
and supplementing the missing data according to the data of the date of the missing data and the allocation proportion of the data supplementation.
Optionally, the processing unit is specifically configured to:
determining a distribution ratio of the data supplement according to equation (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnData on the reference day for the nth hour.
In a third aspect, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the subway energy meter data processing method according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is caused to execute the method for processing the data of the subway energy meter according to the first aspect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a data processing method of a subway energy meter according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a meter data acquisition module according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a data accumulation calculation module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a data processing device of a subway energy meter according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 exemplarily illustrates a system architecture provided by an embodiment of the present invention, which may include a meter data acquisition module 100, a data accumulation calculation module 200, a database 300, and a data missing and filling module 400.
The meter data acquisition module 100 is an entry of system data, and is responsible for communicating with meter equipment to be acquired, communicating with meter data in seconds, and comparing whether the acquired data changes with the data acquired last time. If the data is not changed, ignoring the data acquisition; and if the data are changed, uploading the data.
The data accumulation calculation module 200 is responsible for receiving the collected and uploaded data, caching the accumulated value of the current period, judging the period to which the data belongs, and processing the cache according to different periods. And calculating the acquired difference value according to the uploaded acquired data, and accumulating the acquired difference value to the cache. And judging whether the cache needs to be stored or not, if so, storing the cache in the database 300, clearing the cache, and calculating a new period.
The data missing and missing repairing module 400 periodically queries whether the data is complete from the database 300, and if the data is not complete, acquires detailed missing data information of the data, and determines whether a condition for repairing the missing data is met, and if the condition for repairing the missing data is met, acquires a data distribution proportion of a similar period from the complete data period, and performs the missing repairing on the missing data according to the data distribution proportion.
It should be noted that the structure shown in fig. 1 is only an example, and the embodiment of the present invention is not limited thereto.
Based on the above description, fig. 2 exemplarily shows a flow of a data processing method for a subway energy meter according to an embodiment of the present invention, where the flow can be executed by a data processing apparatus for a subway energy meter.
As shown in fig. 2, the process specifically includes:
In the embodiment of the invention, the meter data is uploaded after determining that the data acquired in two adjacent times are changed. The meter data can be acquired and uploaded by a meter data acquisition module shown in fig. 1, and the result of the meter data acquisition module can be shown in fig. 3, and comprises an acquisition processing layer and a communication layer. The acquisition processing layer comprises an acquisition cache and an acquisition data processing part. The collection cache is used for storing the data value, the data identification and the timestamp collected last time by the system. And after new data are acquired, the system updates the cached content according to the data identification. And the collected data processing part reads the value of the last data from the cache through the data identifier after receiving the receipt of communication collection, judges whether the value of the data changes, uploads the data if the value of the data changes, and updates the collected data cache. And if the data updating value is not changed, only collecting and caching the data updating value. The communication layer is used for adapting to the communication protocol of each meter, and the compatibility of the system to various equipment meters and the universality of the system are ensured.
When processing currently uploaded meter data, it is necessary to determine a cycle to which the currently uploaded meter data belongs, specifically as follows:
if the period to which the currently uploaded meter data belongs is the current period, a difference value between the currently uploaded meter data and the last uploaded meter data needs to be determined, then the difference value and the currently uploaded meter data are added into the accumulated value of the current period, and the accumulated value of the current period is stored in the database when the current period is finished.
And if the period to which the currently uploaded meter data belongs is a new period, adding the currently uploaded meter data into the accumulated value of the new period, and restarting period timing.
In a specific implementation, the step 202 may be performed by the data accumulation calculating module shown in fig. 1, and as shown in fig. 4, the data accumulation calculating module may include an accumulation caching module, a history storage module, and an accumulation algorithm module. The accumulation cache module stores information of each data currently accumulated, including data identification, a timestamp of the data currently accumulated, an accumulation period of the data, a real-time value of the data accumulation and a real-time accumulated value. The history storage module is used for persisting the data which needs to be saved to the relational database of the hard disk. The accumulation algorithm module is the core of the data accumulation calculation module and is responsible for the accumulation realization logic of data.
And when the data accumulation calculation module receives the uploaded meter data, starting accumulation calculation. The accumulation algorithm module firstly judges whether the uploaded meter data is in an accumulation period, if not, the uploaded meter data needs to start a new accumulation period, the previous accumulation period is already accumulated, the accumulation algorithm module informs the history storage module to store the current accumulation value in the cache into the database, clears the cached accumulation value to 0, and resets the cache period of the accumulation cache module. After the period judgment and the period processing are finished, the difference between the two acquisition periods is calculated through the currently uploaded meter data and the accumulated real-time value in the cache, and the difference is accumulated into the accumulated value to finish the accumulation. And after the accumulation is finished, updating the accumulated real-time value as the basis of the next calculation.
That is, when the meter data is accumulated, the traditional cycle last value-cycle first value is saved, but the real-time value uploaded each time is saved, and after a new real-time value is received, the difference between two values is calculated and saved in real time. And when the received data is data in the next period, storing the data accumulated value of the current period. The specific storage form can be shown as formula (2):
Sa＝(Sa2-Sa1)+(Sa3-Sa2)+…+(Sa(N+1)-SaN)＝ΔSa1+ΔSa2+…+ΔSaN…………………………(2)
wherein S isaIs the accumulated value of the a-th cycle, Sa1、Sa2、……SaNFor real-time values of meter data, Δ S, uploaded in sequence in the a-th cyclea1、ΔSa2、……ΔSaNThe difference value between two adjacent uploaded meter data is obtained.
In order to solve the problem of lack of collected data, data leakage and gap filling can be performed on data stored in a database, and the method specifically comprises the following steps: and inquiring whether the accumulated value stored in the database is complete at regular time, if not, determining a data reference day according to the time of the missing data, determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data in the data reference day, and then supplementing the missing data according to the data of the date of the missing data and the distribution proportion of the data supplement.
The allocation ratio of the data supplement may be determined according to formula (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnData on the reference day for the nth hour.
In the specific implementation process, the data leakage detection and filling module can regularly read the current leakage detection and filling progress from the database, judge whether the current leakage detection data is complete according to the content of the progress, and update the leakage detection progress table if the data is complete to prevent repeated judgment. And if the data is not complete, the data needs to be checked for leaks and filled. The system will look for the appropriate data reference day from the database (e.g., the same day of the last week) and calculate the distribution ratio of the data based on the data in the data reference day.
Taking a working day as an example, the morning and evening peak and the idle time of the working day are the same (for example, the morning and evening peak are eight points earlier), so the proportion of the cumulative amount of a certain hour to the whole day of the reference day can be counted according to the above formula (1). Missing hour data is then calculated based on this ratio, as well as the total amount of the day that is missing. And (3) calculating the proportion of the missing time period through a formula (1), calculating the accumulated value of the missing data, performing leak repairing, and updating the leak detection progress after the leak repairing is finished to finish the leak repairing of the data.
The embodiment of the invention shows that the currently uploaded meter data is acquired, the meter data is uploaded after the fact that the data acquired twice in the adjacent time are changed is determined, and the currently uploaded meter data is processed according to the period of the currently uploaded meter data and the last uploaded meter data. The method has the advantages that the power consumption of system acquisition can be reduced by uploading meter data after the fact that the data acquired twice in the adjacent time are determined to be changed, then the currently uploaded meter data is processed according to the period to which the currently uploaded meter data belongs and the meter data uploaded last time, and the accumulated processing of the meter data can be realized, so that the defects can be checked and repaired when the data acquisition fails, the data defects are reduced, and the accuracy of data accumulation is improved.
Based on the same technical concept, fig. 5 exemplarily shows a structure of a data processing device for a subway energy meter, which can execute a data processing flow of the subway energy meter, according to an embodiment of the present invention.
As shown in fig. 5, the apparatus specifically includes:
an obtaining unit 501, configured to obtain meter data that is currently uploaded, where the meter data is uploaded after determining that data acquired in two adjacent times changes;
the processing unit 502 is configured to process the currently uploaded meter data according to the cycle to which the currently uploaded meter data belongs and the last uploaded meter data.
Optionally, the processing unit 502 is specifically configured to:
if the cycle to which the currently uploaded meter data belongs is the current cycle, determining a difference value between the currently uploaded meter data and the last uploaded meter data; adding the difference value and the currently uploaded meter data into the accumulated value of the current period, and storing the accumulated value of the current period into a database when the current period is finished;
and if the period to which the currently uploaded meter data belongs is a new period, adding the currently uploaded meter data into the accumulated value of the new period, and restarting period timing.
Optionally, the processing unit 502 is further configured to:
regularly inquiring whether the accumulated value stored in the database is complete;
if not, determining a data reference day according to the time of the missing data, and determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data with the time on the data reference day;
and supplementing the missing data according to the data of the date of the missing data and the allocation proportion of the data supplementation.
Optionally, the processing unit 502 is specifically configured to:
determining a distribution ratio of the data supplement according to equation (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnData on the reference day for the nth hour.
Based on the same technical concept, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instruction stored in the memory and executing the subway energy meter data processing method according to the obtained program.
Based on the same technical concept, the embodiment of the invention also provides a computer-readable non-volatile storage medium, which comprises computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is enabled to execute the data processing method of the subway energy meter.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (4)
1. A subway energy meter data processing method is characterized by comprising the following steps:
acquiring currently uploaded meter data, wherein the meter data is uploaded after the data acquired twice in the adjacent process is determined to be changed;
processing the currently uploaded meter data according to the cycle of the currently uploaded meter data and the last uploaded meter data;
the processing of the currently uploaded meter data according to the period to which the currently uploaded meter data belongs and the last uploaded meter data comprises:
if the cycle to which the currently uploaded meter data belongs is the current cycle, determining a difference value between the currently uploaded meter data and the last uploaded meter data; adding the difference value and the currently uploaded meter data into the accumulated value of the current period, and storing the accumulated value of the current period into a database when the current period is finished;
if the cycle to which the currently uploaded meter data belongs is a new cycle, adding the currently uploaded meter data into the accumulated value of the new cycle, and restarting cycle timing, wherein the method further comprises the following steps:
regularly inquiring whether the accumulated value stored in the database is complete;
if not, determining a data reference day according to the time of the missing data, and determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data with the time on the data reference day;
supplementing the missing data according to the data of the date of the missing data and the distribution proportion of the data supplement; determining a distribution ratio of the data supplement according to equation (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnThe data on the data reference day of the nth hour.
2. A subway energy meter data processing device, characterized by, includes:
the acquisition unit is used for acquiring meter data which is uploaded currently, wherein the meter data is uploaded after the data acquired twice in the adjacent process is determined to be changed;
the processing unit is used for processing the currently uploaded meter data according to the cycle of the currently uploaded meter data and the last uploaded meter data;
the processing unit is specifically configured to:
if the cycle to which the currently uploaded meter data belongs is the current cycle, determining a difference value between the currently uploaded meter data and the last uploaded meter data; adding the difference value and the currently uploaded meter data into the accumulated value of the current period, and storing the accumulated value of the current period into a database when the current period is finished;
if the cycle to which the currently uploaded meter data belongs is a new cycle, adding the currently uploaded meter data into the accumulated value of the new cycle, and restarting cycle timing; the processing unit is further to:
regularly inquiring whether the accumulated value stored in the database is complete;
if not, determining a data reference day according to the time of the missing data, and determining the distribution proportion of data supplement according to the data of the data reference day and the data of the missing data with the time on the data reference day;
supplementing the missing data according to the data of the date of the missing data and the distribution proportion of the data supplement; the processing unit is specifically configured to:
determining a distribution ratio of the data supplement according to equation (1):
wherein, RatenAllocation ratio for data supplement, n is the nth hour, SnThe data on the data reference day of the nth hour.
3. A computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of claim 1.
4. A computing device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory to execute the method of claim 1 in accordance with the obtained program.
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