CN116756202A - Measuring point data processing method and device, storage medium and electronic equipment - Google Patents

Measuring point data processing method and device, storage medium and electronic equipment Download PDF

Info

Publication number
CN116756202A
CN116756202A CN202310678325.4A CN202310678325A CN116756202A CN 116756202 A CN116756202 A CN 116756202A CN 202310678325 A CN202310678325 A CN 202310678325A CN 116756202 A CN116756202 A CN 116756202A
Authority
CN
China
Prior art keywords
data
point data
new energy
energy equipment
measuring point
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310678325.4A
Other languages
Chinese (zh)
Inventor
贺菡琰
张欣
王承凯
赵志磊
史明亮
刘海龙
孙金龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guohua Energy Investment Co ltd
New Energy Co Ltd of China Energy Investment Corp Ltd
Shanghai Envision Innovation Intelligent Technology Co Ltd
Original Assignee
Guohua Energy Investment Co ltd
New Energy Co Ltd of China Energy Investment Corp Ltd
Shanghai Envision Innovation Intelligent Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guohua Energy Investment Co ltd, New Energy Co Ltd of China Energy Investment Corp Ltd, Shanghai Envision Innovation Intelligent Technology Co Ltd filed Critical Guohua Energy Investment Co ltd
Priority to CN202310678325.4A priority Critical patent/CN116756202A/en
Publication of CN116756202A publication Critical patent/CN116756202A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures

Abstract

The disclosure relates to a measuring point data processing method, a measuring point data processing device, a storage medium and electronic equipment, and relates to the technical field of processing. Comprising the following steps: determining abnormal data from various types of measuring point data of the new energy equipment; storing the abnormal data and the associated data related to the new energy equipment under the condition that the plurality of types of measuring point data of the new energy equipment meet at least one condition: the coverage rate of the various types of measuring point data is smaller than the preset coverage rate, the integrity rate of the various types of measuring point data is smaller than the preset integrity rate, the effective rate of the various types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the various types of measuring point data is smaller than the preset timeliness rate; and displaying the abnormal data and the associated data in response to a query operation of the user. By using the measuring point data processing method provided by the disclosure, the abnormal data can be obtained on the premise of more uniform screening, so that the quality of the screened abnormal data is more uniform.

Description

Measuring point data processing method and device, storage medium and electronic equipment
Technical Field
The disclosure relates to the technical field of data processing, in particular to a measuring point data processing method, a measuring point data processing device, a storage medium and electronic equipment.
Background
At present, the new energy devices have various kinds of devices, and the data quality of the data of the measurement points sent to the terminal on different new energy devices is uneven, so that the abnormal data needs to be manually screened from the data of the measurement points of various types.
However, when abnormal data is screened from multiple types of measurement point data by means of traditional manual verification, different users can screen different types of measurement point data on the premise of different screening due to the diversity of data types, so that quality of the screened abnormal data is uneven.
Disclosure of Invention
The disclosure aims to provide a measuring point data processing method, a measuring point data processing device, a storage medium and electronic equipment, so as to solve the technical problems.
According to a first aspect of an embodiment of the present disclosure, there is provided a measurement point data processing method, including:
determining abnormal data from various types of measuring point data of the new energy equipment;
storing the abnormal data and associated data related to the new energy equipment under the condition that the plurality of types of measurement point data of the new energy equipment meet at least one condition:
the coverage rate of the multiple types of measuring point data is smaller than the preset coverage rate, the integrity rate of the multiple types of measuring point data is smaller than the preset integrity rate, the effective rate of the multiple types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the multiple types of measuring point data is smaller than the preset timeliness rate; the coverage rate reflects the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment, the integrity rate reflects the integrity degree of the measuring point data sent to the terminal by the new energy equipment, the effective rate reflects the proportion occupied by effective measuring point data in the measuring point data sent to the terminal by the new energy equipment, and the time-consuming rate reflects the timely degree of the new energy equipment sending the measuring point data to the terminal;
And responding to the query operation of the user, and displaying the abnormal data and the associated data.
Optionally, the abnormal data includes missing data, and determining the abnormal data from the multiple types of measurement point data of the new energy device includes:
monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period;
and under the condition that the new energy equipment does not upload the measurement point data to the terminal in the current period, determining missing data in the current period.
Optionally, the abnormal data includes invalid data, and the abnormal data is determined from multiple types of measurement point data of the new energy device, including at least one of the following:
under the condition that the measuring point data sent to the terminal on the new energy equipment is not in a preset range, taking the measuring point data which is not in the preset range as the invalid data;
under the condition that the measurement point data uploaded by the new energy equipment within a first preset time period is unchanged, the unchanged measurement point data are used as the invalid data;
when the plurality of measuring point data continuously sent by the new energy equipment are the same and the number of the plurality of measuring point data is larger than the preset number, the plurality of measuring point data are used as the invalid data;
When the difference value between two adjacent measuring point data sent by the new energy equipment is larger than a preset difference value, taking the latter measuring point data in the two adjacent measuring point data as the invalid data;
and taking the measurement point data as the invalid data under the condition that the transmission time length of the measurement point data sent on the new energy equipment is less than a second preset time length.
Optionally, the abnormal data includes delay data, and determining the abnormal data from the multiple types of measurement point data of the new energy device includes:
and taking the measurement point data as the delay data under the condition that the transmission time length of the measurement point data sent by the new energy equipment is longer than a third preset time length.
Optionally, the method further comprises:
monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period;
under the condition that the new energy equipment in the current period is monitored to have the measurement point data sent to the terminal, accumulating the number of the current period;
and taking the ratio of the accumulated current period number to the total period number as the integrity rate.
Optionally, the method further comprises:
The station data is taken as valid data in the presence of at least one of the following:
the measurement point data sent to the terminal by the new energy equipment are located in a preset range, the measurement point data sent by the new energy equipment in a first preset duration are changed, a plurality of measurement point data sent by the new energy equipment continuously are different, the difference value between two adjacent measurement point data sent by the new energy equipment is smaller than or equal to a preset difference value, and the transmission duration of the measurement point data sent by the new energy equipment is longer than or equal to a second preset duration;
and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
Optionally, the method further comprises:
when the transmission time length of the measurement point data sent by the new energy equipment is less than or equal to a third preset time length, the measurement point data is used as non-delay data;
and taking the ratio of the non-delay data to the measurement point data sent to the terminal by the new energy equipment as the time-consuming rate.
Optionally, the association data includes at least one of:
the coverage rate, the integrity rate, the effective rate, the time-consuming rate, abnormal time when the abnormal data are generated, equipment information of the new energy equipment, the total number of measuring points of the new energy equipment, the number of measuring points acquired by the measuring point acquisition device, the number of accumulated current periods, the total number of periods, effective data, non-delay data and measuring point data sent to the terminal by the new energy equipment.
According to a second aspect of the embodiments of the present disclosure, there is provided a measurement point data processing apparatus, including:
the abnormal data determining module is configured to determine abnormal data from a plurality of types of measuring point data of the new energy equipment;
the storage module is configured to store the abnormal data and associated data related to the new energy equipment when the plurality of types of measurement point data of the new energy equipment meet at least one condition:
the coverage rate of the multiple types of measuring point data is smaller than the preset coverage rate, the integrity rate of the multiple types of measuring point data is smaller than the preset integrity rate, the effective rate of the multiple types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the multiple types of measuring point data is smaller than the preset timeliness rate; the coverage rate is used for indicating the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment, the integrity rate is used for indicating the integrity degree of the measuring point data sent to the terminal on the new energy equipment, the effective rate is used for indicating the occupation degree of effective measuring point data in the measuring point data sent to the terminal on the new energy equipment, and the time-consuming rate is used for indicating the timely degree of sending the measuring point data to the terminal on the new energy equipment;
And the query module is configured to respond to the query operation of the user and display the abnormal data and the associated data.
According to a third aspect of the disclosed embodiments, there is provided a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the site data processing method provided by the first aspect of the disclosed embodiments.
According to a fourth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a memory having a computer program stored thereon;
and a processor, configured to execute the computer program in the memory, so as to implement the steps of the measurement point data processing method provided in the first aspect of the embodiment of the disclosure.
By the technical scheme, no matter what type of measuring point data is, the screening is performed on the premise of four screening conditions of preset coverage rate, preset integrity rate, preset effective rate and preset time-lapse rate, so that the quality of the screened abnormal data is more uniform; on the premise of the above four screening, namely on the premise of definitely determining that the quality problem exists in the measurement point data, the abnormal data is stored, so that the stored abnormal data can be data which can embody the quality problem more, and the user can locate the abnormal data more accurately by inquiring; in addition, the abnormal data can be automatically positioned, and the abnormal data is not required to be manually positioned, so that the manual screening cost is saved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
FIG. 1 is a flowchart illustrating steps of a method for site data processing, according to an exemplary embodiment;
FIG. 2 is a flowchart illustrating steps of a method of site data processing, according to an exemplary embodiment;
FIG. 3 is a block diagram of a station data processing apparatus, shown according to an exemplary embodiment;
fig. 4 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that, all actions for acquiring signals, information or data in the present disclosure are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
FIG. 1 is a flowchart illustrating steps of a station data processing method according to an exemplary embodiment, the station data processing method comprising the steps of:
in step S101, abnormal data is determined from the multiple types of measurement point data of the new energy device.
The whole data quality screening system comprises new energy equipment, a measuring point acquisition device and a terminal, wherein the measuring point acquisition device acquires different types of measuring point data generated by different measuring points of the new energy equipment, and sends the different types of measuring point data to the terminal. Wherein, different measuring points can generate different types of measuring point data, and the same measuring point can also generate different types of measuring point data.
The new energy equipment is provided with measuring point data of different types such as remote measurement, remote control, remote regulation, remote signaling and the like, and the measuring point acquisition device monitors measuring points such as power, voltage, current, wind speed, generated energy and the like of the new energy equipment to obtain the remote measurement data; the measuring point acquisition device monitors measuring points such as the switch position of the new energy equipment to obtain remote signaling data; the measuring point acquisition device monitors measuring points such as the command state of the new energy equipment so as to obtain remote control data; the measuring point acquisition device monitors measuring points such as the position of a transformer tap of the new energy equipment, the output power of the generator and the like so as to obtain remote adjustment data.
The remote measurement, remote control, remote regulation, remote signaling and other different types of measurement point data obtained from the new energy equipment can be real-time data sent by the new energy equipment in real time, historical data sent by the new energy equipment in history, and asset data such as factory data, equipment attributes and the like of the new energy equipment.
It can be understood that, in the embodiments of the present disclosure, different types of measurement point data refer to heterogeneous data with different source components, where the data sources may be different types of measurement point data such as telemetry data, remote control data, remote modulation data, remote signaling data, and the like, or measurement point data with different time spans such as real-time data, historical data, and the like, which is not limited.
In the related art, abnormal data is screened from different types of measuring point data in a manual screening mode, so that the manual screening cost is high and the screening efficiency is low.
Based on this, the embodiment of the disclosure automatically determines abnormal data from various types of measurement point data, including: abnormal data such as missing data, invalid data, delay data and the like are automatically positioned from various measuring point data, manual screening cost is saved because manual screening is not needed, and abnormal data can be screened out more quickly because the abnormal data is automatically positioned through a machine and the processing efficiency of the machine is higher than that of manual processing.
In step S102, in a case where the plurality of types of measurement point data of the new energy device satisfy at least one of the following conditions a, C, and D, the abnormal data and the associated data related to the new energy device are stored.
Condition a: the coverage rate of the measuring point data of the multiple types is smaller than the preset coverage rate.
The coverage rate reflects the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment.
The coverage rate is the ratio of the measurement point data acquired by the measurement point acquisition device to the total measurement point number of the new energy equipment; under the condition that the coverage rate of the data of the various measuring points is smaller than the preset coverage rate, the fact that all the measuring points of the new energy equipment are not covered by the measuring points acquired by the measuring point acquisition device is explained, and the quality problem of missing measuring points exists.
For example, the total number of measurement points of all new energy devices in the field station device is 100, the number of measurement points of the new energy devices opened to the measurement point acquisition device is 90, and the number of measurement points opened to the other devices is 10, so that the measurement point acquisition device can only acquire measurement point data of 90 measurement points, in this case, the coverage rate is 90%, and in the case that the preset coverage rate is assumed to be 100%, the coverage rate of 90% is smaller than the preset coverage rate of 100%, which means that 10% of the number of measurement points sent on the new energy devices in the field station device is not sent to the measurement point acquisition device, and the measurement point acquisition device does not monitor the remaining 10% of the measurement point data.
And when the coverage rate reaches 100% of the preset coverage rate, the fact that all new energy equipment in station equipment is opened to the outside is indicated that all measuring points are completed, and uncovered measuring point data does not exist in the measuring point data acquired by the measuring point acquisition device.
Condition B: the integrity rate of the measuring point data of the multiple types is smaller than the preset integrity rate.
The integrity rate reflects the integrity degree of the measurement point data sent to the terminal by the new energy equipment.
The integrity rate is the ratio of the number of current periods in which the measurement point data exists to the total number of periods accumulated under the condition that the new energy equipment is monitored by adopting the preset period. And under the condition that the integrity rate of the data of the measuring points of various types is smaller than the preset integrity rate, the quality problem of data loss of the new energy equipment is solved.
Optionally, calculating the integrity rate includes: monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period; under the condition that the new energy equipment in the current period is monitored to have the measurement point data sent to the terminal, accumulating the number of the current period; and taking the ratio of the accumulated current period number to the total period number as the integrity rate.
Illustratively, the new energy device is at t 1 、t 2 、t 3 、t 4 、t 5 …t 101 And detecting whether the measurement point data are successfully sent to the terminal or not at 101 moments, wherein the time interval between each moment is a preset period T, and the total period number is 100. When at t 3 When the fact that the data of the measuring points exist is successfully sent to the terminal is monitored at any time, t is indicated 2 And t 3 The data in the current period is complete, 1 current period is accumulated, and similarly, if the fact that the data of the measuring point exist and are successfully sent to the terminal is monitored at the time t4, the t is indicated 3 And t 4 The data in the current period is complete, 2 times of current periods are accumulated, and the number of accumulated current periods is obtained after each time is similar. It will be appreciated that when no station data is successfully sent to the terminal, the current period is not counted in the accumulated number of periods.
The ratio of the accumulated current period number to the total period number is assumed to be 80%, the preset integrity rate is 90%, and 80% of the current period number to the total period number is smaller than the preset integrity rate 90%, so that the quality problem of data missing in the measurement point data sent by the new energy equipment is indicated.
Condition C: the effective rate of the measuring point data of the multiple types is smaller than the preset effective rate.
The method comprises the steps of receiving new energy equipment, wherein the effective ratio of effective measurement point data in measurement point data sent to a terminal by the new energy equipment is reflected effectively.
The effective rate is the ratio of effective measuring point data in the measuring point data sent to the terminal by the new energy equipment to the measuring point data sent to the terminal by the new energy equipment. When the effective rate is smaller than the preset effective rate, the quality problem that the availability of the measurement point data sent by the new energy equipment is lower is described.
Optionally, calculating the effective rate includes at least one of:
in the mode (1), when the measurement point data sent to the terminal by the new energy equipment is within a preset range, taking the measurement point data within the preset range as effective data; and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
When the measured point data sent to the terminal by the new energy equipment is within the preset range, the monitored measured point data is not more than the preset range, and the measured point data within the preset range can be used as effective data.
For example, the preset range may be set to [ k1, k2], and when the station data is located at [ k1, k2], the station data may be regarded as valid data; the preset range may be set to (- ≡k 1), and when the measurement point data is located (- ≡k 1), the measurement point data may be used as effective data. The preset range may be set by changing according to an actual scene, which is not limited by the embodiment of the present disclosure.
In the mode (2), when the measurement point data uploaded by the new energy equipment in the first preset time period has a change, the measurement point data with the change in the first preset time period is used as effective data; and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
When the measurement point data sent by the new energy equipment in the first preset time period has a change, the situation that the measurement point data sent by the new energy equipment does not have a clamping in the first preset time period is indicated, namely, the situation that the clamping value does not exist is indicated, and the measurement point data with the change in the first preset time period can be used as effective data.
For example, if the new energy device sends the measurement point data a, the measurement point data B and the measurement point data C within the first preset time period t, when the measurement point data a, the measurement point data B and the measurement point data C are all different, all the three data can be used as effective data. The first preset duration may be set by changing according to an actual scene, which is not limited in the embodiment of the present disclosure.
In the mode (3), when a plurality of measuring point data continuously uploaded by the new energy equipment are different, using the plurality of different measuring point data as effective data; and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
When the preset number of the plurality of measuring point data continuously sent by the new energy equipment are different, the condition that the preset number of the plurality of measuring point data continuously sent by the new energy equipment are not blocked is indicated, and the plurality of measuring point data continuously sent at the moment can be used as effective data.
For example, taking the preset number as 10 as an example, if all 10 measurement point data sent continuously by the new energy are different, the 10 data can be used as effective data. The preset number may be set by changing according to an actual scene, which is not limited by the embodiment of the present disclosure.
In the mode (4), when the difference value between two adjacent measuring point data sent by the new energy equipment is smaller than or equal to a preset difference value, using the two adjacent measuring point data smaller than or equal to the preset difference value as effective data; and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
When the difference value between two adjacent measuring point data sent by the new energy equipment is smaller than or equal to the preset difference value, the condition that no data jump exists between the two adjacent measuring point data sent by the new energy equipment is indicated, and the two adjacent measuring point data can be used as effective data.
Taking a preset difference value as m as an example, if the difference value between two adjacent measurement point data is smaller than or equal to m, the two adjacent measurement point data are taken as effective data. The preset difference value can be changed and set according to the actual scene, and the embodiment of the disclosure does not limit the setting.
In the mode (5), when the transmission time length of the measurement point data sent by the new energy equipment is longer than or equal to a second preset time length, the measurement point data which is longer than or equal to the second preset time length is used as effective data; and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
And when the transmission time length of the measurement point data sent by the new energy equipment is longer than or equal to the second preset time length, indicating that the measurement point data sent by the new energy equipment does not reach the terminal in advance, and taking the measurement point data as effective data.
The transmission time length of the measurement point data sent by the new energy device can be the difference of the time stamp of the measurement point data received by the terminal minus the time stamp of the measurement point data sent by the new energy device, or the difference of the time stamp of the measurement point data received by the measurement point acquisition device minus the time stamp of the measurement point data sent by the new energy device.
The ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment is the ratio of the number of the effective data to the number of the measurement point data sent by the new energy equipment.
Condition D: the timeliness rate of the plurality of types of measurement point data is smaller than the preset timeliness rate.
The time rate reflects the time degree of the new energy equipment to send the measurement point data to the terminal.
The time-in-flight rate is the ratio between the measurement point data sent by the new energy equipment in time and the total measurement point data sent by the new energy equipment. And under the condition that the time-in-flight rate is smaller than the preset time-in-flight rate, the quality problem that the measurement point data sent by the new energy equipment has data delay is described.
Optionally, calculating the time-rate includes: when the transmission time length of the measurement point data sent by the new energy equipment is less than or equal to a third preset time length, the measurement point data is used as non-delay data; and taking the ratio of the non-delay data to the measurement point data sent to the terminal by the new energy equipment as the time-consuming rate. The third preset time period is longer than the second preset time period.
From the above conditions a to D, it can be seen that, when the coverage rate of the measurement point data is smaller than the preset coverage rate, the integrity rate of the measurement point data of multiple types is smaller than the preset integrity rate, the effective rate of the measurement point data of multiple types is smaller than the preset effective rate, and the time-lapse rate of the measurement point data of multiple types is smaller than the preset time-lapse rate, it is determined that there is a quality problem of missing measurement points, a quality problem of missing data, a quality problem of invalid data, or a quality of data delay exists, at this time, the screened abnormal data and the associated data associated with the new energy device are stored, so that the abnormal data and the associated data are displayed in response to the query operation of the user.
Optionally, the association data includes at least one of: the coverage rate, the integrity rate, the effective rate, the time-consuming rate, abnormal time when the abnormal data are generated, equipment information of the new energy equipment, the total number of measuring points of the new energy equipment, the number of measuring points acquired by the measuring point acquisition device, the number of accumulated current periods, the total number of periods, effective data, non-delay data and measuring point data sent to the terminal by the new energy equipment.
Wherein, for the abnormal time when the abnormal data is generated, the abnormal time includes: judging the moment when no measurement point data is successfully uploaded to the terminal in the current period, determining the moment when the measurement point data is located outside a preset range, the moment when the measurement point data transmitted by the new energy device is unchanged in a first preset time period (the moment can be any moment in the first preset time period), the moment when a plurality of measurement point data with the same preset quantity are continuously transmitted (the moment can be any moment in the moments corresponding to the same measurement point data), the moment when the difference value between two adjacent measurement point data transmitted by the new energy device is larger than the preset difference value, the moment when the next measurement point data is acquired, the moment when the transmission time length of the transmission measurement point data transmitted by the new energy device is smaller than a second preset time period, and the moment when the transmission time length of the transmission measurement point data transmitted by the new energy device is longer than a third preset time period.
For example, the moment when it is determined that the measurement point data is not successfully uploaded to the terminal in the current period is illustrated, and the new energy device is at t 1 、t 2 、t 3 、t 4 、t 5 …t 101 The 101 moments will be detected to determine whether the measured point data is successfully sent to the terminal, the time interval between each moment is a preset period T, when at T 3 And when the moment monitoring that no measuring point data is successfully sent to the terminal is carried out, taking the moment t3 as an abnormal moment.
The equipment information of the new energy equipment comprises an identification code of the new energy equipment, a data source manufacturer and the like.
In step S103, the abnormal data and the associated data are displayed in response to a query operation by the user.
Optionally, the station is divided into a plurality of areas, each area includes a plurality of new energy devices, and when the abnormal data and the associated data are displayed in response to the query operation of the user, the abnormal data and the associated data of the new energy devices can be displayed in response to the query operation of the user on the new energy devices; the abnormal data and the associated data of the whole area can be displayed in response to the query operation of the user on the area; the abnormal data and the associated data in the entire station may also be displayed in response to a query operation of the station by the user. Thus, the user can query the abnormal data and the associated data in a large range, and can also query the abnormal data and the associated data of each new energy device by finely searching each new energy device.
Through the above scheme, for the measurement point data of different sources, the embodiment of the disclosure proposes a unified screening scheme, and when the coverage rate of the measurement point data is smaller than the preset coverage rate, the integrity rate of the measurement point data of multiple types is smaller than the preset integrity rate, the effective rate of the measurement point data of multiple types is smaller than the preset effective rate, and the time-out rate of the measurement point data of multiple types is smaller than the preset time-out rate, the abnormal measurement point data is automatically stored, so that the abnormal data which the user wants to inquire can be automatically positioned in response to the inquiry operation of the user.
In the process, the data of the measuring points of any type are screened on the premise of the four screening conditions, so that the quality of the screened abnormal data is more uniform, for example, the data quality is determined to have a problem under the condition of less than 100% coverage rate instead of the data quality determined to have a problem under the condition of less than the rest of the preset coverage rate by taking 100% coverage rate as an example; on the premise of the above four screening, namely on the premise of definitely determining that the quality problem exists in the measurement point data, the abnormal data is stored, so that the stored abnormal data can be data which can embody the quality problem more, and the user can locate the abnormal data more accurately by inquiring; in addition, the abnormal data can be automatically positioned, and the abnormal data is not required to be manually positioned, so that the manual screening cost is saved.
Some specific embodiments related to the above step S101 will be described below.
In some embodiments, the anomaly data can be determined in a number of ways.
Mode one, the exception data includes missing data. Monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period; and under the condition that the new energy equipment does not upload the measurement point data to the terminal in the current period, determining missing data in the current period.
And under the condition that the new energy equipment does not upload the measurement point data to the terminal in the current period, determining that missing data exists in the current period, and automatically inquiring the missing data which is not uploaded by the new energy equipment in the current period.
Illustratively, the new energy device is at t 1 、t 2 、t 3 、t 4 、t 5 …t 101 The 101 moments can be detected to determine whether the measured point data is successfully sent to the terminal, and each momentThe time interval is a preset period T, when at T 3 When no measurement point data is successfully sent to the terminal after being monitored at any time, further determining that the new energy equipment is at t 2 And t 3 Missing data in the current period of the interval between the two, and taking the missing data as abnormal data without uploading.
Mode two, the exception data includes invalid data. The second mode includes the following sub-modes:
sub-mode a: and under the condition that the measurement point data sent to the terminal on the new energy equipment is not in a preset range, taking the measurement point data which is not in the preset range as the invalid data.
When the measured point data sent by the new energy equipment is not in the preset range, the monitored measured point data is beyond the preset range and does not accord with the set rule, and the measured point data can be used as invalid data.
For example, the preset range may be set to [ k1, k2], and when the station data is not located at [ k1, k2], the station data is regarded as invalid data.
Sub-mode B: and under the condition that the measurement point data uploaded by the new energy equipment within the first preset time period is unchanged, taking the unchanged measurement point data as the invalid data.
And under the condition that the measurement point data uploaded by the new energy equipment within the first preset time period is unchanged, the phenomenon that the measurement point data is stuck is indicated, and the unchanged measurement point data can be used as invalid data.
For example, if the new energy device sends the measurement point data a, the measurement point data B and the measurement point data C within the first preset time period t, and when none of the measurement point data a, the measurement point data B and the measurement point data C changes, any one of the measurement point data a, the measurement point data B and the measurement point data C is taken as invalid data.
Sub-mode C: and under the condition that the plurality of measuring point data continuously sent by the new energy equipment are the same and the number of the plurality of measuring point data is larger than the preset number, taking the plurality of measuring point data as the invalid data.
When the preset number of the plurality of measuring point data continuously sent by the new energy equipment is the same, the fact that the measuring point data is stuck is also indicated, and the unchanged measuring point data can be used as invalid data.
For example, taking a preset number of 10 as an example, if 10 measurement point data continuously sent by the new energy source are identical, the 10 data may be taken as invalid data.
Sub-mode D: and taking the latter measuring point data in the two adjacent measuring point data as the invalid data under the condition that the difference value between the two adjacent measuring point data sent by the new energy equipment is larger than a preset difference value.
And when the difference value between two adjacent measuring point data sent by the new energy equipment is larger than the preset difference value, the fact that the next measuring point data in the two measuring point data sent by the new energy equipment is jumped is indicated, and the next measuring point data can be used as invalid data.
Sub-mode E: and taking the measurement point data as the invalid data under the condition that the transmission time length of the measurement point data sent on the new energy equipment is less than a second preset time length.
And under the condition that the transmission time length of the measurement point data sent by the new energy equipment is smaller than the second preset time length, indicating that the measurement point data sent by the new energy equipment reaches a terminal in advance, and taking the measurement point data as invalid data at the moment.
Mode three: the anomaly data includes delay data. And taking the measurement point data as the delay data under the condition that the transmission time length of the measurement point data sent by the new energy equipment is longer than a third preset time length.
And when the transmission time length of the measurement point data sent by the new energy equipment is longer than the third preset time length, indicating that the delay of the measurement point data sent by the new energy equipment reaches the terminal, and taking the measurement point data as invalid data.
In the related technology, quality of measurement point data sent by new energy equipment is uneven, and because of the complexity of industry, close correlation exists among the measurement point data, and abnormal data cannot be accurately and rapidly screened simply by means of manual verification rules. By adopting the measuring point data processing method provided by the embodiment of the disclosure, abnormal data which are missing, exceed a preset range, have a stuck value, jump, arrive in advance or arrive in a delayed manner can be screened out from a plurality of different types of measuring point data, so that the abnormal data can be automatically positioned without checking manually, thereby saving the labor cost and accurately and rapidly positioning the abnormal data.
Some alternative embodiments of the above-mentioned step S101 to step S103 will be described below.
In step S201, abnormal data is determined from the plurality of types of measurement point data of the new energy device.
In step S202, in the case where the plurality of types of measurement point data of the new energy device satisfy all of the following conditions, the abnormal data and the associated data related to the new energy device are not stored:
the coverage rate of the measurement point data of the first condition and the multiple types is larger than the preset coverage rate.
And the integrity rate of the data of the measuring points of the second condition and the multiple types is larger than the preset integrity rate.
The effective rate of the data of the measuring points of the third condition and the multiple types is larger than the preset effective rate.
And the time rate of the data of the measuring points of the fourth condition and the multiple types is larger than the preset time rate.
According to the technical scheme, under the conditions that the coverage rate of the total number of the measuring points of the new energy equipment of the whole station covered by the measuring points acquired by the measuring point acquisition device is large, the integrity rate of the measuring point data acquired by the terminal is large, the effective rate of the measuring point data acquired by the terminal is large, and the timeliness rate of the measuring point data acquired by the terminal is high, the problem of data quality of the measuring point data acquired by the terminal is solved, and at the moment, the screened abnormal data with small number are not required to be stored, so that the storage space and the subsequent calculated amount are saved.
FIG. 3 is a block diagram of a station data processing apparatus according to an exemplary embodiment, and referring to FIG. 3, station data processing apparatus 300 includes: the abnormal data determination module 310, the storage module 320 and the query module 330.
An abnormal data determining module 310, configured to determine abnormal data from a plurality of types of measurement point data of the new energy device;
a storage module 320 configured to store the abnormal data and associated data related to the new energy device, in a case where a plurality of types of measurement point data of the new energy device satisfy at least one condition:
the coverage rate of the multiple types of measuring point data is smaller than the preset coverage rate, the integrity rate of the multiple types of measuring point data is smaller than the preset integrity rate, the effective rate of the multiple types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the multiple types of measuring point data is smaller than the preset timeliness rate; the coverage rate is used for indicating the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment, the integrity rate is used for indicating the integrity degree of the measuring point data sent to the terminal on the new energy equipment, the effective rate is used for indicating the occupation degree of effective measuring point data in the measuring point data sent to the terminal on the new energy equipment, and the time-consuming rate is used for indicating the timely degree of sending the measuring point data to the terminal on the new energy equipment;
And a query module 330 configured to display the abnormal data and the associated data in response to a query operation by a user.
Optionally, the abnormal data includes missing data, and the abnormal data determining module 310 includes:
the first monitoring submodule is configured to monitor whether the new energy equipment transmits measurement point data to the terminal or not in a preset period;
and the missing data determining submodule is configured to determine missing data in the current period under the condition that the new energy equipment does not upload the measurement point data to the terminal in the current period.
Optionally, the anomaly data comprises invalid data, and the anomaly data determination module 310 comprises at least one of:
a first invalid data determining sub-module configured to, in a case where the measurement point data sent to the terminal on the new energy device is not within a preset range, take the measurement point data that is not within the preset range as the invalid data;
the second invalid data determining submodule is configured to take unchanged measuring point data as invalid data under the condition that the measuring point data uploaded by the new energy equipment within a first preset time period is unchanged;
A third invalid data determining sub-module configured to take the plurality of measurement point data as the invalid data when the plurality of measurement point data continuously uploaded by the new energy device are the same and the number of the plurality of measurement point data is greater than a preset number;
a fourth invalid data determining sub-module configured to take the last one of the two adjacent measurement point data as the invalid data when a difference value between the two adjacent measurement point data sent on the new energy device is greater than a preset difference value;
and a fifth invalid data determining submodule, configured to take the measurement point data as the invalid data when the transmission time length of the measurement point data sent on the new energy equipment is less than a second preset time length.
Optionally, the anomaly data includes delay data, and the anomaly data determining module 310 includes:
and the delay data determining submodule is configured to take the measurement point data as the delay data when the transmission time of the new energy equipment for sending the measurement point data is longer than a third preset time.
Optionally, the site data processing apparatus 300 includes:
the second monitoring module is configured to monitor whether the new energy equipment transmits measurement point data to the terminal or not in a preset period;
The accumulating module is configured to accumulate the number of the current period under the condition that the new energy equipment is monitored to have the measurement point data sent to the terminal in the current period;
a integrity rate determination module configured to take as the integrity rate a ratio of the number of accumulated current cycles to a total number of cycles.
Optionally, the site data processing apparatus 300 includes:
an effective data determination module configured to take the site data as effective data if at least one of:
the measurement point data sent to the terminal by the new energy equipment are located in a preset range, the measurement point data sent by the new energy equipment in a first preset duration are changed, a plurality of measurement point data sent by the new energy equipment continuously are different, the difference value between two adjacent measurement point data sent by the new energy equipment is smaller than or equal to a preset difference value, and the transmission duration of the measurement point data sent by the new energy equipment is longer than or equal to a second preset duration;
and the effective rate determining module is configured to take the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
Optionally, the site data processing apparatus 300 includes:
the non-delay data determining module is configured to take the measurement point data as non-delay data when the transmission time length of the measurement point data sent on the new energy equipment is less than or equal to a third preset time length;
and the time rate determining module is configured to use the ratio of the non-delay data to the measurement point data sent to the terminal on the new energy equipment as the time rate.
Optionally, the association data includes at least one of:
the coverage rate, the integrity rate, the effective rate, the time-consuming rate, abnormal time when the abnormal data are generated, equipment information of the new energy equipment, the total number of measuring points of the new energy equipment, the number of measuring points acquired by the measuring point acquisition device, the number of accumulated current periods, the total number of periods, effective data, non-delay data and measuring point data sent to the terminal by the new energy equipment.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 4 is a block diagram of an electronic device 400, shown in accordance with an exemplary embodiment. As shown in fig. 4, the electronic device 400 may include: a processor 401, a memory 402. The electronic device 400 may also include one or more of a multimedia component 403, an input/output (I/O) interface 404, and a communication component 405.
The processor 401 is used to control the overall operation of the electronic device 400, so as to complete all or part of the steps in the above-mentioned measurement point data processing method. The memory 402 is used to store various types of data to support operation at the electronic device 400, which may include, for example, instructions for any application or method operating on the electronic device 400, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and the like. The Memory 402 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 403 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 402 or transmitted through the communication component 405. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 404 provides an interface between the processor 401 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 405 is used for wired or wireless communication between the electronic device 400 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 405 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 400 can be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (Digital Signal Processor, abbreviated as DSP), digital signal processing devices (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described station data processing methods.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the above-described site data processing method. For example, the computer readable storage medium may be the memory 402 including program instructions described above, which are executable by the processor 401 of the electronic device 400 to perform the station data processing method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described site data processing method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the foregoing embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, the present disclosure does not further describe various possible combinations.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (11)

1. The measuring point data processing method is characterized by comprising the following steps of:
determining abnormal data from various types of measuring point data of the new energy equipment;
storing the abnormal data and associated data related to the new energy equipment under the condition that the plurality of types of measurement point data of the new energy equipment meet at least one condition:
The coverage rate of the multiple types of measuring point data is smaller than the preset coverage rate, the integrity rate of the multiple types of measuring point data is smaller than the preset integrity rate, the effective rate of the multiple types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the multiple types of measuring point data is smaller than the preset timeliness rate; the coverage rate reflects the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment, the integrity rate reflects the integrity degree of the measuring point data sent to the terminal by the new energy equipment, the effective rate reflects the proportion occupied by effective measuring point data in the measuring point data sent to the terminal by the new energy equipment, and the time-consuming rate reflects the timely degree of the new energy equipment sending the measuring point data to the terminal;
and responding to the query operation of the user, and displaying the abnormal data and the associated data.
2. The method according to claim 1, wherein the abnormal data includes missing data, and the determining abnormal data from the plurality of types of measurement point data of the new energy device includes:
monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period;
And under the condition that the new energy equipment does not upload the measurement point data to the terminal in the current period, determining missing data in the current period.
3. The method according to claim 1, wherein the anomaly data includes invalid data, and the anomaly data is determined from a plurality of types of measurement point data of the new energy device, including at least one of:
under the condition that the measuring point data sent to the terminal on the new energy equipment is not in a preset range, taking the measuring point data which is not in the preset range as the invalid data;
under the condition that the measurement point data uploaded by the new energy equipment within a first preset time period is unchanged, the unchanged measurement point data are used as the invalid data;
when the plurality of measuring point data continuously sent by the new energy equipment are the same and the number of the plurality of measuring point data is larger than the preset number, the plurality of measuring point data are used as the invalid data;
when the difference value between two adjacent measuring point data sent by the new energy equipment is larger than a preset difference value, taking the latter measuring point data in the two adjacent measuring point data as the invalid data;
And taking the measurement point data as the invalid data under the condition that the transmission time length of the measurement point data sent on the new energy equipment is less than a second preset time length.
4. The method according to claim 1, wherein the anomaly data includes delay data, and the determining anomaly data from a plurality of types of measurement point data of the new energy device includes:
and taking the measurement point data as the delay data under the condition that the transmission time length of the measurement point data sent by the new energy equipment is longer than a third preset time length.
5. The method according to claim 1, wherein the method further comprises:
monitoring whether the new energy equipment transmits measurement point data to the terminal or not according to a preset period;
under the condition that the new energy equipment in the current period is monitored to have the measurement point data sent to the terminal, accumulating the number of the current period;
and taking the ratio of the accumulated current period number to the total period number as the integrity rate.
6. The method according to claim 1, wherein the method further comprises:
the station data is taken as valid data in the presence of at least one of the following:
The measurement point data sent to the terminal by the new energy equipment are located in a preset range, the measurement point data sent by the new energy equipment in a first preset duration are changed, a plurality of measurement point data sent by the new energy equipment continuously are different, the difference value between two adjacent measurement point data sent by the new energy equipment is smaller than or equal to a preset difference value, and the transmission duration of the measurement point data sent by the new energy equipment is longer than or equal to a second preset duration;
and taking the ratio of the effective data to the measurement point data sent to the terminal by the new energy equipment as the effective rate.
7. The method according to claim 1, wherein the method further comprises:
when the transmission time length of the measurement point data sent by the new energy equipment is less than or equal to a third preset time length, the measurement point data is used as non-delay data;
and taking the ratio of the non-delay data to the measurement point data sent to the terminal by the new energy equipment as the time-consuming rate.
8. The method of any one of claims 1-7, wherein the association data comprises at least one of:
the coverage rate, the integrity rate, the effective rate, the time-consuming rate, abnormal time when the abnormal data are generated, equipment information of the new energy equipment, the total number of measuring points of the new energy equipment, the number of measuring points acquired by the measuring point acquisition device, the number of accumulated current periods, the total number of periods, effective data, non-delay data and measuring point data sent to the terminal by the new energy equipment.
9. A station data processing apparatus, comprising:
the abnormal data determining module is configured to determine abnormal data from a plurality of types of measuring point data of the new energy equipment;
the storage module is configured to store the abnormal data and associated data related to the new energy equipment when the plurality of types of measurement point data of the new energy equipment meet at least one condition:
the coverage rate of the multiple types of measuring point data is smaller than the preset coverage rate, the integrity rate of the multiple types of measuring point data is smaller than the preset integrity rate, the effective rate of the multiple types of measuring point data is smaller than the preset effective rate, and the timeliness rate of the multiple types of measuring point data is smaller than the preset timeliness rate; the coverage rate is used for indicating the degree occupied by the number of the measuring points acquired by the measuring point acquisition device in the total number of the measuring points of the new energy equipment, the integrity rate is used for indicating the integrity degree of the measuring point data sent to the terminal on the new energy equipment, the effective rate is used for indicating the occupation degree of effective measuring point data in the measuring point data sent to the terminal on the new energy equipment, and the time-consuming rate is used for indicating the timely degree of sending the measuring point data to the terminal on the new energy equipment;
And the query module is configured to respond to the query operation of the user and display the abnormal data and the associated data.
10. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1 to 8.
11. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1 to 8.
CN202310678325.4A 2023-06-08 2023-06-08 Measuring point data processing method and device, storage medium and electronic equipment Pending CN116756202A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310678325.4A CN116756202A (en) 2023-06-08 2023-06-08 Measuring point data processing method and device, storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310678325.4A CN116756202A (en) 2023-06-08 2023-06-08 Measuring point data processing method and device, storage medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN116756202A true CN116756202A (en) 2023-09-15

Family

ID=87950718

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310678325.4A Pending CN116756202A (en) 2023-06-08 2023-06-08 Measuring point data processing method and device, storage medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN116756202A (en)

Similar Documents

Publication Publication Date Title
CN100592745C (en) Method and system for sending localization and identity dependent information to mobile terminals
KR102060573B1 (en) Monitoring system and operating method thereof
US10229546B2 (en) Remote server
CN113055417A (en) Intelligent industrial Internet of things system
CN108923422A (en) Internet of Things proxy data processing method, system and electric network terminal equipment monitoring system
US10591944B2 (en) Open automated demand response (OpenADR) server
CN110913362B (en) Method and device for realizing wireless signal test through client and test equipment
US20160043914A1 (en) Remotely monitoring network diagnostics
JP2006253010A (en) Relay lifetime control server
WO2016143244A1 (en) Communication system, network joining method, slave device, master device, upper-layer device, and program
CN116756202A (en) Measuring point data processing method and device, storage medium and electronic equipment
KR20170027632A (en) Apparatus for processing of data
CN116955232A (en) Hardware identification method and device based on control system
CN110855003A (en) Method and device for calling and comparing self-adaptive configuration of main station
CN106662849B (en) Mobile human-machine interface for control device
CN103001323A (en) Relay and data processing method
US9536420B2 (en) Apparatus and method of performing customer-designated action based on power event
CN107238754B (en) Method and device for detecting electric quantity
KR102534295B1 (en) Hmi device and method for outputting data thereof
JP7012220B2 (en) Remote monitoring system
KR101937350B1 (en) Electrical safety automation system and method based on ICT
CN103782608A (en) Field device and communication system
US20130110294A1 (en) Method for operating an energy automation system and energy automation system
CN116094178B (en) Fault early warning control method and device for precise train head cabinet, machine room and medium
US11553325B2 (en) Communication system for monitoring process units

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination