CN112307034B - Data collection method of concentrator and related device - Google Patents
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Abstract
The application discloses a data collection method of a concentrator, which comprises the following steps: matching the same objects in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table; writing corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table; and converting the null data in the primary station phenotype into preset data, and sending the primary station phenotype to a concentrator. The same object matched from the station phenotype is used for writing the data corresponding to the object into the main station phenotype, namely, the data are collected and processed according to the object of the main station phenotype, and the empty data are processed, so that the efficiency of data concentration is improved. The application also discloses a data collection device, a server and a computer readable storage medium of the concentrator, which have the beneficial effects.
Description
Technical Field
The present application relates to the field of electric energy meter technologies, and in particular, to a data collection method, a data collection device, a server, and a computer-readable storage medium for a concentrator.
Background
With the continuous development of information technology, the information technology is adopted for optimization in various fields at present, and the efficiency and the effect of management control are improved. The mechanical electric energy meter with the single electric energy metering function adopted in the technical field of electric energy is difficult to simultaneously take multiple functions of time-sharing metering, load control, parameter presetting, acquisition, storage, real-time transmission and the like. Among them, the DLMS (Distribution Line Message Specification) that is usually used is an application layer Specification, independent of each lower layer below the application layer, and therefore, independent of a communication channel, designed to support Message exchange with a Distribution device in a computer integrated environment, and is an international standard established by IEC TC57 and published by IEC 61334-4-41.
In the related art, the DLMS standard is generally directly adopted to collect data of each electric energy meter, and then the data of each electric energy meter is sent to a concentrator (data collection device), so that the concentrator collects the acquired data of each electric energy meter in a memorable and centralized manner. However, the DLMS specification only specifies legal object types, and when meters of different manufacturers or different types of meters adopting the DLMS specification are mixedly accessed to the DCU, there is no uniform way, which results in various structures and inconvenient management, and each time a system accesses one meter through the DCU, an object list of each phenotype needs to be added, if an object is changed, the system configuration must be modified, which greatly increases the workload of the system and reduces the efficiency and effect of the concentrator for performing data concentration on each electric energy meter.
Therefore, how to improve the efficiency of the concentrator for concentrating the data of each electric energy meter is a key issue of attention of those skilled in the art.
Disclosure of Invention
The data collection method, the data collection device, the server and the computer readable storage medium of the concentrator are provided, and through the same object matched from the station phenotype, data corresponding to the object is written into the master station phenotype, that is, the data is collected and processed according to the object of the master station phenotype, and the empty data is processed, so that the efficiency of data concentration is improved.
In order to solve the above technical problem, the present application provides a data collection method for a concentrator, including:
matching the same objects in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table;
writing corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table;
and converting the null data in the primary station phenotype into preset data, and sending the primary station phenotype to a concentrator.
Optionally, converting null data in the primary station phenotype into preset data, and sending the primary station phenotype to a concentrator, where the method includes:
converting null data in the master station phenotype to 0xFF and transmitting the master station phenotype to the concentrator.
Optionally, converting null data in the primary station phenotype into preset data, and sending the primary station phenotype to a concentrator, where the method includes:
converting null data in the master station phenotype to 0x00 and transmitting the master station phenotype to the concentrator.
Optionally, the method further includes:
and the concentrator performs centralized processing on the obtained multiple master station phenotypes to obtain a master station summary table.
The present application further provides a data collection device of a concentrator, comprising:
the object matching module is used for matching the same objects in the slave station phenotypes according to the obtained master station phenotype to obtain an object comparison table;
the data writing module is used for writing the corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table;
and the empty data conversion module is used for converting the empty data in the primary station phenotype into preset data and sending the primary station phenotype to the concentrator.
Optionally, the null data conversion module is specifically configured to convert null data in the master station phenotype into 0xFF, and send the master station phenotype to the concentrator.
Optionally, the null data conversion module is specifically configured to convert null data in the master station phenotype into 0x00, and send the master station phenotype to the concentrator.
Optionally, the method further includes:
and the summarizing processing module is used for carrying out centralized processing on the obtained multiple master station phenotypes to obtain a master station summarizing table.
The present application further provides a server, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the data collection method as described above when executing the computer program.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the data collection method as described above.
The application provides a data collection method of a concentrator, which comprises the following steps: matching the same objects in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table; writing corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table; and converting the null data in the primary station phenotype into preset data, and sending the primary station phenotype to a concentrator.
The same object matched from the station phenotype is used for writing the data corresponding to the object into the main station phenotype, namely the data are collected and processed according to the main station phenotype, so that the problem of data confusion caused by different data objects under different specifications is solved, the empty data are processed, and the data concentration efficiency and effect are improved.
The present application further provides a data collection device, a server, and a computer-readable storage medium of a concentrator, which have the above beneficial effects, and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a data collection method of a concentrator according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a data collection device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a data collection method, a data collection device, a server and a computer readable storage medium of a concentrator, and through the same object matched from the station phenotype, data corresponding to the object is written into the master station phenotype, namely, the data is collected and processed according to the object of the master station phenotype, and the empty data is processed, so that the efficiency of data concentration is improved.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
In the related art, the DLMS standard is generally directly adopted to collect data of each electric energy meter, and then the data of each electric energy meter is sent to a concentrator (data collection device), so that the concentrator collects the acquired data of each electric energy meter in a memorable and centralized manner. However, the DLMS specification only specifies legal object types, and when meters of different manufacturers or different types of meters adopting the DLMS specification are mixedly accessed to the DCU, there is no uniform way, which results in various structures and inconvenient management, and each time a system accesses one meter through the DCU, an object list of each phenotype needs to be added, if an object is changed, the system configuration must be modified, which greatly increases the workload of the system and reduces the efficiency and effect of the concentrator for performing data concentration on each electric energy meter.
Therefore, the data collection method of the concentrator provided by the application writes the data corresponding to the object into the master station phenotype through the same object matched from the station phenotype, namely, the data is collected and processed according to the master station phenotype, so that the problem of data confusion caused by different data objects under different specifications is avoided, the null data is processed, and the efficiency and the effect of data concentration are improved.
The following describes a data collection method of a concentrator according to an embodiment.
Referring to fig. 1, fig. 1 is a flowchart illustrating a data collection method of a concentrator according to an embodiment of the present disclosure.
In this embodiment, the method may include:
s101, matching the same objects in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table;
therefore, the step is mainly to match the same objects in the slave station phenotype and the master station phenotype to obtain an object comparison table. I.e. a record table of the same object in the slave phenotype and the master phenotype.
Wherein the master station phenotype is used in a scenario where a concentrator collects data for a plurality of power meters. The primary site phenotype is primarily the type of table in the concentrator used to collect the data. The electric energy meter comprises a concentrator, a plurality of electric energy meters and a plurality of slave stations, wherein the concentrator can be a phenotype specified by a preset protocol, can be a phenotype appointed by a technician according to requirements, and can be a phenotype obtained by integrating the slave station phenotypes of the plurality of electric energy meters. It is understood that the manner of determining the phenotype in this step is not exclusive and is not specifically limited herein.
Further, the slave station phenotype is a phenotype used for recording data in each electric energy meter. Although different electric energy meters follow the same electric energy meter format, various slave station phenotypes exist in different configuration environments under different application conditions. Therefore, in the related art, the slave station phenotype in each slave station is generally collected, and then data in the slave station phenotype is written into the master station phenotype through a manual processing mode, so as to centralize and summarize data of each electric energy meter.
In the embodiment, the data in the slave station table of each electric energy meter is mainly summarized. Therefore, the same object between the primary station phenotype and the secondary station phenotype needs to be determined, so that the data in the secondary station phenotype is completely written into the primary station phenotype.
In addition, the present embodiment may further include:
and requesting the concentrator through a preset period to obtain a new master station phenotype. In order to maintain real-time and accuracy of the master site phenotype in local storage.
S102, writing the corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table;
on the basis of S101, this step is intended to write the corresponding data in the slave phenotype to the master phenotype according to the object look-up table.
The data corresponding to the slave station phenotype can be found out according to the object comparison table, and then the data is filled into the object corresponding to the master station phenotype, so that the master station phenotype with complete data filling can be obtained.
S103, converting the null data in the primary station phenotype into preset data, and sending the primary station phenotype to the concentrator.
On the basis of S102, this step is to convert the null data in the primary station phenotype into preset data, that is, no corresponding null data occurs in the primary station phenotype, so as to avoid the problem of data reading error when the concentrator reads the primary station phenotype data. And finally, sending the mutual data of the primary station phenotype to a concentrator. Therefore, the concentrator summarizes the data in the primary station phenotype to obtain a summary table after the data are concentrated.
Referring to Table 1, table 1 shows phenotype data of empty objects
TABLE 1 empty object phenotype schematic
| Object 1 | Object 2 | Object 3 | …… | Object N | |
| Table type 1 | 234 | 3454 | 2445 | …… | NULL |
| Phenotype 2 | 456 | 34 | NULL | …… | 232 |
| Phenotype 3 | 6454 | NULL | 232 | …… | 2344 |
| Phenotype 4 | 1344 | 342 | NULL | …… | 654 |
| …… | …… | …… | …… | …… | |
| Phenotype N | 344 | NULL | 244 | …… | 343 |
It can be seen that there are different NULLs in table 1, that is, there are different NULL data, which are replaced by NULLs in the table, and the NULLs cannot be identified in the different table processing procedures, thereby causing a problem that the table data cannot identify the NULLs. Therefore, the null data in the data is converted into the preset data through the step. The preset data is null data that can be identified by the concentrator, different data may be set according to different concentrators, and may be 0xFF or 0x00, which is not specifically limited herein.
Wherein, according to the concentrator identifying different types of null data and avoiding concentrator identifying error, this step may include:
empty data in the master station phenotype is converted to 0xFF and the master station phenotype is sent to the concentrator.
It can be seen that the present alternative is mainly described with respect to the specific content of the null data. In this alternative, the specific content of the null data may be 0xFF, so that the concentrator correctly identifies the null data in the table, problems such as data identification errors are avoided, and the collection of correct data by the concentrator is improved.
Wherein, according to the concentrator identifying different types of null data and avoiding concentrator identifying error, this step may include:
empty data in the master station phenotype is converted to 0x00 and the master station phenotype is sent to the concentrator.
It can be seen that the present alternative is mainly described with respect to the specific content of the null data. The specific content of the null data in this alternative may be 0x00, so that the concentrator correctly identifies the null data in the table, problems such as data identification errors are avoided, and the concentrator is improved to collect correct data.
Further, this embodiment may further include:
and the concentrator performs centralized processing on the obtained multiple master station phenotypes to obtain a master station summary table.
It can be seen that the alternative is mainly described about the processing of the concentrator after acquiring the master station phenotype. In the alternative scheme, the concentrator performs centralized processing on the acquired multiple master station phenotypes to obtain a master station summary table.
In summary, in the embodiment, the same object matched from the slave station phenotype is used to write the data corresponding to the object into the master station phenotype, that is, the data is collected and processed according to the master station phenotype, so that the problem of data confusion caused by different data objects under different specifications is avoided, the null data is processed, and the efficiency and the effect of data concentration are improved.
The data collection method of a concentrator provided by the present application is further described below by a specific embodiment.
In this embodiment, the method may include:
in the step 1, the method comprises the following steps of, ammeter issued through concentrator phenotype updating a phenotype library table;
step 2, acquiring a captured object comparison table of each phenotype according to a captured object reading method, and completing channel data configuration;
step 3, executing a captured data reading method according to the object comparison table, and updating a data storage table (a master station phenotype);
and 4, the concentrator requests data and converts null data in the data storage base table into 00 or FF, so that the object alignment operation of the concentrator for acquiring the data is completed, and the concentrator is prevented from receiving data with wrong format.
Therefore, in the embodiment, the same object matched from the slave station phenotype can be used for writing the data corresponding to the object into the master station phenotype, that is, the data is collected and processed according to the master station phenotype, so that the problem of data confusion caused by different data objects under different specifications is avoided, the empty data is processed, and the efficiency and the effect of data concentration are improved.
In the following, the data collection device provided by the embodiments of the present application is described, and the data collection device described below and the data collection method described above may be referred to correspondingly.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a data collection device according to an embodiment of the present disclosure.
In this embodiment, the apparatus may include:
the object matching module 100 is configured to match the same object in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table;
a data writing module 200, configured to write data corresponding to the slave station phenotype into the master station phenotype according to the object comparison table;
and the null data conversion module 300 is configured to convert null data in the primary station phenotype into preset data, and send the primary station phenotype to the concentrator.
Optionally, the null data conversion module 300 is specifically configured to convert null data in the master station phenotype into 0xFF, and send the master station phenotype to the concentrator.
Optionally, the null data conversion module 300 is specifically configured to convert null data in the primary station phenotype into 0x00, and send the primary station phenotype to the concentrator.
Optionally, the summary processing module is configured to perform centralized processing on the obtained multiple master station phenotypes to obtain a master station summary table.
An embodiment of the present application further provides a server, including:
a memory for storing a computer program;
a processor for implementing the steps of the data collection method as described in the above embodiments when executing the computer program.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the data collection method according to the above embodiments.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The data collection method, the data collection device, the server and the computer readable storage medium of the concentrator provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (8)
1. A method of data collection in a concentrator, comprising:
matching the same objects in the slave station phenotype according to the obtained master station phenotype to obtain an object comparison table;
writing corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table;
converting null data in the master station phenotype into preset data, and sending the master station phenotype to a concentrator;
and the concentrator performs centralized processing on the obtained multiple master station phenotypes to obtain a master station summary table.
2. The data collection method of claim 1, wherein converting null data in the primary site phenotype into preset data and transmitting the primary site phenotype to a concentrator comprises:
converting null data in the master station phenotype to 0xFF and transmitting the master station phenotype to the concentrator.
3. The data collection method of claim 1, wherein converting null data in the primary site phenotype into preset data and transmitting the primary site phenotype to a concentrator comprises:
converting null data in the master station phenotype to 0x00 and transmitting the master station phenotype to the concentrator.
4. A data collection device for a concentrator, comprising:
the object matching module is used for matching the same objects in the slave station phenotypes according to the obtained master station phenotype to obtain an object comparison table;
the data writing module is used for writing the corresponding data in the slave station phenotype into the master station phenotype according to the object comparison table;
the empty data conversion module is used for converting the empty data in the master station phenotype into preset data and sending the master station phenotype to the concentrator;
and the summarizing processing module is used for carrying out centralized processing on the obtained multiple master station phenotypes to obtain a master station summarizing table.
5. The data collection device of claim 4, wherein the null data conversion module is configured to convert null data in the primary station phenotype into 0xFF and send the primary station phenotype to the concentrator.
6. The data collection apparatus of claim 4, wherein the null data conversion module is configured to convert null data in the primary station phenotype into 0x00, and send the primary station phenotype to the concentrator.
7. A server, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the data collection method of any one of claims 1 to 3 when executing said computer program.
8. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the data collection method according to any one of claims 1 to 3.
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