CN114398354A - Data monitoring method and device, electronic equipment and storage medium - Google Patents

Data monitoring method and device, electronic equipment and storage medium Download PDF

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Publication number
CN114398354A
CN114398354A CN202210005036.3A CN202210005036A CN114398354A CN 114398354 A CN114398354 A CN 114398354A CN 202210005036 A CN202210005036 A CN 202210005036A CN 114398354 A CN114398354 A CN 114398354A
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China
Prior art keywords
data
processed
abnormal
abnormal data
service
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CN202210005036.3A
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Inventor
洪雅宁
郎怡文
赖波涛
杨宪洲
黄菲
骆鹤汀
林建亮
郑翠欣
郑鲜艳
陈卉
林炯瑜
赵振强
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Priority to CN202210005036.3A priority Critical patent/CN114398354A/en
Publication of CN114398354A publication Critical patent/CN114398354A/en
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    • 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
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • 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
    • 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
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The embodiment of the invention discloses a data monitoring method, a data monitoring device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring to-be-processed service data, wherein the to-be-processed service data comprises at least one item of power service data, electricity utilization data and power supply service quality data; determining abnormal data from the service data to be processed according to prestored reference data, and feeding the abnormal data back to the terminal equipment associated with the service data to be processed; and receiving a control instruction fed back by the terminal equipment, and processing the abnormal data according to the control instruction. According to the technical scheme of the embodiment of the invention, the abnormal data is determined in a convenient and efficient manner and is fed back to the corresponding terminal equipment, so that inspection personnel can know the data change condition of the power marketing service in time, and the loss and the influence caused by the abnormal data are reduced or reduced.

Description

Data monitoring method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of data monitoring, in particular to a data monitoring method and device, electronic equipment and a storage medium.
Background
With the continuous development of electric power networks in China, the marketing inspection work of the power grid is more and more important, the marketing inspection work of the power supply service center is used as a responsibility main body for inspecting the electric power marketing, the marketing inspection work is in charge of service supervision of the marketing service work, and by inspecting the marketing service, the marketing key indexes, the work quality and the service quality can be monitored, inspected, analyzed, supervised and corrected on site, so that the marketing service work quality is improved.
In the prior art, according to the positioning and working responsibilities of a marketing inspection center, an inspector can monitor various services such as electric charge reading, check and collection, business expansion and installation, electric energy metering, customer service and the like on line by means of informatization support means such as a marketing monitoring platform and the like. However, the current information platform can only detect data of various services, but cannot feed back abnormal data to the auditors in a convenient and efficient manner, has a low intelligence degree, cannot effectively assist the auditors in developing marketing audit work, and is not beneficial to improving the operation and management level of the power grid.
Disclosure of Invention
The invention provides a data monitoring method, a data monitoring device, electronic equipment and a storage medium, which can determine abnormal data in a convenient and efficient manner and feed the abnormal data back to corresponding terminal equipment, so that inspection personnel can know the data change condition of power marketing service in time, and the loss and influence caused by the abnormal data are reduced or reduced.
In a first aspect, an embodiment of the present invention provides a data monitoring method, where the method includes:
acquiring to-be-processed service data, wherein the to-be-processed service data comprises at least one item of power service data, electricity utilization data and power supply service quality data;
determining abnormal data from the service data to be processed according to prestored reference data, and feeding the abnormal data back to the terminal equipment associated with the service data to be processed;
and receiving a control instruction fed back by the terminal equipment, and processing the abnormal data according to the control instruction.
In a second aspect, an embodiment of the present invention further provides a data monitoring apparatus, where the apparatus includes:
the system comprises a to-be-processed business data acquisition module, a data processing module and a data processing module, wherein the to-be-processed business data acquisition module is used for acquiring to-be-processed business data, and the to-be-processed business data comprises at least one item of power business data, electricity consumption data and power supply service quality data;
the abnormal data determining module is used for determining abnormal data from the service data to be processed according to prestored reference data and feeding the abnormal data back to the terminal equipment associated with the service data to be processed;
and the processing module is used for receiving the control instruction fed back by the terminal equipment and processing the abnormal data according to the control instruction.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a data monitoring method as in any one of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the data monitoring method according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, business data to be processed is obtained, namely at least one of electric power business data, electricity utilization data and power supply service quality data is obtained; the method comprises the steps of determining abnormal data from service data to be processed according to prestored reference data, feeding the abnormal data back to terminal equipment associated with the service data to be processed, further receiving a control instruction fed back by the terminal equipment, processing the abnormal data according to the control instruction, determining the abnormal data from collected data in a convenient and efficient mode, and feeding the abnormal data back to corresponding terminal equipment, so that inspection personnel can know data change conditions of electric marketing services in time.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flow chart of a data monitoring method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a data monitoring method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a data monitoring method according to a third embodiment of the present invention;
fig. 4 is a block diagram of a data detection system according to a third embodiment of the present invention;
fig. 5 is a flowchart for automatically determining a corresponding management and control instruction based on abnormal data according to a third embodiment of the present invention;
fig. 6 is a block diagram of a data storage module according to a third embodiment of the present invention;
fig. 7 is a block diagram of a data monitoring apparatus according to a fourth embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flow chart of a data monitoring method according to an embodiment of the present invention, where the embodiment is applicable to a situation where a service inspection platform monitors various types of data and processes abnormal data obtained by the monitoring, and the method may be executed by a data monitoring device, where the data monitoring device may be implemented in a form of software and/or hardware, and the hardware may be an electronic device, such as a mobile terminal, a PC terminal, or a server.
As shown in fig. 1, the method specifically includes the following steps:
and S110, acquiring service data to be processed.
In this embodiment, in order to monitor multiple types of data of a power grid, a service inspection platform may be set up in advance, and the platform collects, monitors and processes various types of data. Further, after the service inspection platform is built and operated, the service data to be processed can be obtained based on a preset time interval or a data monitoring instruction issued by an inspector.
The service data to be processed comprises at least one item of power service data, electricity utilization data and power supply service quality data. Specifically, the power service data may be data related to services such as business expansion, customer power failure, management line loss, default power consumption and electricity stealing inspection, the power consumption data may be data related to services such as power charge reading, electricity metering and comprehensive energy management, and the power supply service quality data may be data related to customer service. Illustratively, based on a pre-established service inspection platform, the power consumption data of each user in a certain area and the evaluation content of the user on the marketing service work quality in the month can be acquired from a big data platform. Furthermore, after the service data to be processed is acquired through multiple ways, the acquired multiple types of data can be divided, and different types of data are stored in a database associated with the service inspection platform so as to be called in the subsequent process and be referred by the inspector.
The service inspection platform can support various types of data, the inspection range is expanded, the service capacity of power marketing is improved, meanwhile, various types of data also provide important data support for market change trend and the like, and the loss of power marketing service is reduced.
And S120, determining abnormal data from the to-be-processed service data according to the pre-stored reference data, and feeding the abnormal data back to the terminal equipment associated with the to-be-processed service data.
In this embodiment, after the service data to be processed is obtained, the data may be analyzed based on the service inspection platform. Specifically, according to the determined data type of the service data to be processed, reference data belonging to the same type as the service data to be processed is determined in the database, and the reference data is compared with the service data to be processed, so that abnormal data is determined. In the present disclosure, the reference data may be specification data designated for ensuring stable operation of a power grid, or may be historical data recorded by a platform for each area or each user, and it should be understood by those skilled in the art that, in an actual application process, when types of service data to be processed are different, corresponding reference data also differ, and meanwhile, specific reference data may be selected according to an actual situation, which is not specifically limited herein.
For example, when the power consumption data of the user in a certain time period is acquired as the service data to be processed, the power consumption data of the user in the previous time period may be determined as reference data in a database associated with the service inspection platform, and further, the power consumption data of the two time periods are compared, and when a difference between a part of the service data to be processed and the reference data is too large or exceeds a preset threshold, the service data to be processed may be determined as abnormal data.
In this embodiment, after determining the abnormal data from the to-be-processed service data, the abnormal data needs to be fed back to the inspector, and specifically, the abnormal data may be fed back to the terminal device associated with the to-be-processed service data. The terminal device includes various types of removable devices or fixed devices, and may be understood as a device capable of receiving and transmitting data in a wired or wireless manner and displaying the data on a corresponding display device, for example, a mobile phone, a tablet computer, or a PDA device. After the abnormal data are fed back to the terminal equipment and displayed in the corresponding interface, the inspection personnel can issue the corresponding control instruction according to the abnormal data.
And S130, receiving a control instruction fed back by the terminal equipment, and processing the abnormal data according to the control instruction.
In this embodiment, after the service inspection platform receives the control instruction fed back by the terminal device, the abnormal data can be processed according to the control instruction. The control command may be emergency operation information related to abnormal data, for example, a power-off command or a current-limiting command for a specific node of the power grid. And when the platform receives the control command, the command can be issued to the corresponding electrical equipment so as to process the abnormal data.
Illustratively, when the monthly power consumption information of the user is acquired as the to-be-processed service data, the data is compared with the monthly power consumption information of the user, and after abnormal data is determined, an inspector can issue a power failure instruction to a power line corresponding to the user through a terminal device, and further, related personnel can go to the site to verify the electrical device corresponding to the abnormal data, so that the abnormal data is processed.
According to the technical scheme of the embodiment, business data to be processed is obtained, namely at least one of electric power business data, electricity utilization data and power supply service quality data is obtained; the method comprises the steps of determining abnormal data from service data to be processed according to prestored reference data, feeding the abnormal data back to terminal equipment associated with the service data to be processed, further receiving a control instruction fed back by the terminal equipment, processing the abnormal data according to the control instruction, determining the abnormal data from collected data in a convenient and efficient mode, and feeding the abnormal data back to corresponding terminal equipment, so that inspection personnel can know data change conditions of electric marketing services in time.
Example two
Fig. 2 is a schematic flow chart of a data monitoring method according to a second embodiment of the present invention, in which a diversified data acquisition manner is set based on the second embodiment, so as to expand the source range of the inspection data, so that the acquired data is more comprehensive, and the accuracy of the inspection work is improved; generating a corresponding abnormal data chart based on the abnormal data, and automatically analyzing the abnormal data under the condition that the inspection personnel does not respond to the early warning information, further improving the intelligence of the service inspection platform, and being beneficial to reducing or reducing the loss and influence of the abnormal data to the maximum extent; by storing the unprocessed abnormal data and the processed abnormal data in a partitioning mode, the situation that the abnormal data is not processed or is processed repeatedly is avoided. The specific implementation manner can be referred to the technical scheme of the embodiment. The technical terms that are the same as or corresponding to the above embodiments are not repeated herein.
As shown in fig. 2, the method specifically includes the following steps:
s210, obtaining service data to be processed.
In this embodiment, since the pre-constructed service inspection platform may be associated with various types of software or hardware, there are various ways to obtain the service data to be processed. Optionally, the to-be-processed service data is acquired from the electric big data platform according to the data acquisition instruction; and/or receiving the to-be-processed business data uploaded by the data acquisition equipment according to the detected trigger operation; and/or acquiring the to-be-processed service data based on pre-deployed distributed data monitoring equipment.
Specifically, when the first mode is selected, the service inspection platform and the electric power big data platform can be associated, wherein the electric power big data platform is a big data platform which is built based on a cloud server technology and a data warehouse technology and is used for storing services related to each service of a power grid. Based on the data transmission protocol, the service inspection platform can acquire the to-be-processed service data of various data types from the power grid big data platform according to the preset data transmission protocol. When the second mode is selected, the trigger operation of the inspector can be detected, for example, the inspector can click a target control in a display interface of the terminal device, when the target control is detected to be triggered, the terminal device can generate a corresponding data acquisition instruction and send the data acquisition instruction to the service inspection platform, and further, the platform can acquire corresponding service data to be processed based on the data acquisition instruction. When the third mode is selected, distributed data monitoring equipment needs to be deployed in each area in advance, for example, intelligent electric meters are installed in each district of a city, and when data acquisition tasks need to be executed, to-be-processed service data can be sent to a service inspection platform by a plurality of intelligent electric meters in a wired or wireless mode.
It can be understood that by setting diversified data acquisition modes, the source range of the inspection data is expanded, the acquired to-be-processed service data is more comprehensive, and the accuracy of the inspection work is improved.
S220, comparing the reference data with the to-be-processed service data, taking data which does not meet preset requirements in the to-be-processed data as abnormal data, and storing the abnormal data in to-be-processed abnormal data units of a data storage module; and constructing a corresponding abnormal data chart for the abnormal data based on the abnormal data unit to be processed, and feeding the abnormal data chart back to the terminal equipment.
In this embodiment, after the service inspection platform obtains the service data to be processed, the reference data and the service data to be processed may be compared, and data that does not meet the preset requirement may be used as the abnormal data. Specifically, the service inspection platform may use a data change range, a data change rule, a data repetition degree, and the like as reference data, and store the data in the logical operation management data storage unit. On the basis, when the service data to be processed does not meet the requirements of the reference data, the abnormal data can be determined. The service inspection platform can analyze the acquired data more favorably by presetting various types of reference data as the judgment basis of the service data to be processed.
In this embodiment, after the abnormal data is determined, a corresponding abnormal data chart, for example, a histogram, a pie chart, or an Excel table corresponding to the abnormal data, may be constructed for the abnormal data based on the service inspection platform, and further, the abnormal data chart is fed back to the terminal device, and the abnormal data is fed back in an intuitive and visual manner, so that the intelligence of the platform is further enhanced, and an inspector can quickly know the current abnormal situation.
And S230, the terminal equipment displays the abnormal data in the target interface and determines a corresponding control instruction based on the abnormal data.
Optionally, the abnormal data is displayed in the target interface, and when the trigger operation is detected within a preset time period, the control instruction is generated according to the trigger operation. Specifically, after receiving the abnormal data, the terminal device can display the abnormal data in the target interface, and meanwhile, early warning is performed on the inspector in various ways. After finding the early warning information of the terminal device, the inspector can cancel the early warning information in a voice or touch mode, and further, after analyzing the abnormal data, the inspector can issue a corresponding control instruction by using an operation panel in the terminal device.
Optionally, when the terminal device sends the warning information and the duration of the warning information exceeds the preset duration (that is, the trigger operation is not detected within the preset duration), it indicates that the inspector does not find the warning information this time, or does not make an effective response to the warning information this time, and at this time, the terminal device needs to automatically respond to the abnormal information this time in order to avoid further expansion of loss. Specifically, the terminal device may determine the data type of the terminal device based on the data identifier carried by the abnormal data; further, determining a corresponding abnormal event type based on the abnormal data type, for example, an illegal electricity consumption event type or an electric energy metering abnormal event type, and determining a corresponding target processing scheme in each pre-stored processing scheme to be selected based on the abnormal event type, wherein each processing scheme to be selected is a pre-stored emergency scheme associated with each abnormal event type; and finally, feeding back a control instruction to the service inspection platform based on the determined target processing scheme.
Under the condition that the inspection personnel do not respond to the early warning information, the abnormal data are automatically analyzed by using the terminal equipment, and the control instruction is sent based on a proper emergency scheme, so that the intelligence of the service inspection platform is further improved, and the loss and the influence of the abnormal data are reduced to the maximum extent.
And S240, receiving a control instruction fed back by the terminal equipment, and sending the control instruction to a target electrical equipment and/or a target scheduling center associated with the to-be-processed service data so as to process the abnormal data through the target electrical equipment and/or the target scheduling center.
In this embodiment, after the service inspection platform receives the control command fed back by the terminal device, the control command may be sent to the target electrical device and/or the target scheduling center. The target electrical device may be an electrical device that needs to be adjusted and is associated with abnormal data, such as a specific transformer or electrical switch in a certain area. Furthermore, after the target electrical device receives the control command, corresponding actions can be executed to process the current abnormal condition. It should be understood by those skilled in the art that when the target scheduling center receives the control instruction, the control instruction may also be forwarded, or a job task may be issued to a relevant worker to handle the current abnormal condition, which is not described herein again in the embodiments of the present disclosure.
And S250, after the abnormal data are detected to be processed, storing the abnormal data in the processed abnormal data unit of the data storage module, performing repeated detection on the abnormal data based on the processed abnormal data unit when the abnormal data are determined again, and sending prompt information to the terminal equipment when the abnormal data and the data in the processed abnormal data unit are detected to be repeated.
In this embodiment, for the database associated with the service inspection platform, the unprocessed exception data unit and the processed exception data unit may be further divided in advance. The unprocessed abnormal data unit is used for storing the abnormal data which does not receive the corresponding control instruction, and correspondingly, the processed abnormal data unit is used for storing the abnormal data which has received the corresponding control instruction and processes the abnormal condition.
Based on this, if the terminal device receives the abnormal data again, the abnormal data can be compared with the data in the processed abnormal data unit, and when the abnormal data received this time is determined to be repeated with the abnormal data processed before, the reminding information can be sent to the inspector based on the display panel of the inspector, so that the inspector can determine that the abnormal data is processed; when it is determined that the abnormal data received this time never appears, a control command corresponding to the abnormal data received this time is generated based on the scheme of the present embodiment.
In the embodiment, the unprocessed abnormal data and the processed abnormal data are stored in a partitioned manner, so that the condition that the abnormal data is not processed or is processed repeatedly is avoided, and the intelligence of the service inspection platform is further improved.
According to the technical scheme of the embodiment, diversified data acquisition modes are set, so that the source range of the inspection data is expanded, the acquired data is more comprehensive, and the accuracy of inspection work is improved; generating a corresponding abnormal data chart based on the abnormal data, and automatically analyzing the abnormal data under the condition that the inspection personnel does not respond to the early warning information, further improving the intelligence of the service inspection platform, and being beneficial to reducing or reducing the loss and influence of the abnormal data to the maximum extent; by storing the unprocessed abnormal data and the processed abnormal data in a partitioning mode, the situation that the abnormal data is not processed or is processed repeatedly is avoided.
EXAMPLE III
As an alternative embodiment of the foregoing embodiment, fig. 3 is a schematic flow chart of a data monitoring method provided in a third embodiment of the present invention, and fig. 4 is a block diagram of a data detection system provided in the third embodiment of the present invention. For clearly describing the technical solution of the present embodiment, an application scenario may be described as an example in which a service inspection platform monitors various types of data and processes abnormal data obtained through monitoring, but the application scenario is not limited to the above scenario and may be applicable to various scenarios requiring data monitoring.
Referring to fig. 3, when monitoring various types of service data, a service inspection platform needs to be constructed first, as can be seen from fig. 4, the constructed service inspection platform at least includes an inspection terminal, a data comparison and judgment module, an emergency processing module, and a data storage module, and meanwhile, the service inspection platform is also associated with various data acquisition platforms, devices, or equipment. Referring to fig. 6, it can be seen that, for the data storage module in the service inspection platform, a logical operation management data storage unit, a service data detection storage unit, and a data processing scheme storage unit for each service anomaly may also be included. The logic operation management data storage unit is used for storing normal data change trends of all services, and the data comparison and judgment module is convenient to judge whether the acquired data is normal or not according to the stored data; the service data monitoring and storing unit is used for storing each service data monitored in real time for subsequent consulting and downloading; and the service abnormal data processing scheme storage unit is used for storing emergency processing schemes aiming at different services and different abnormal event types. In the practical application process, the electric power marketing related services may include business expansion and installation services, electricity price and electricity charge management services, electric energy metering services, electricity utilization change, power supply service quality, and default electricity utilization and electricity stealing inspection services.
With continued reference to fig. 3, after the service inspection platform is constructed, various service data related to power marketing can be collected, and the collected data is uploaded to the service inspection platform. The data acquisition mode can adopt a big data platform uploading mode, a manual uploading mode or an independent data uploading mode. Furthermore, after various service data are obtained, the service data of the power marketing and the reference data in the data storage module can be compared based on the data comparison and judgment module, so that abnormal data can be screened out, and in the actual application process, the types of data comparison include, but are not limited to, a lifting trend rule, a variation range, a questionnaire repetition degree, a data variation rule and the like.
With reference to fig. 3, after determining the abnormal data, the service inspection platform may upload the abnormal data to the inspection terminal through the data comparison and determination module to form a corresponding graph and an early warning prompt, and feed back the information to the corresponding inspection terminal. After the inspection terminal receives the abnormal data chart and the early warning prompt, the abnormal data chart and the early warning prompt can be displayed on the associated display panel so as to prompt the inspector. At the moment, the inspection personnel can cancel alarm information through the inspection terminal and send out a control instruction corresponding to the abnormal data chart based on the operation panel; correspondingly, if the duration that the audit staff do not respond to the early warning prompt exceeds the preset duration threshold, the emergency processing module of the service audit platform can analyze the abnormal data, automatically determine a target emergency scheme from a plurality of emergency schemes in the data storage module, and further generate a corresponding control instruction. As can be seen from fig. 5, in the process of automatically determining the management and control instruction, the emergency processing module first needs to analyze the type of the abnormal data to determine a corresponding abnormal type, further select a corresponding emergency processing scheme in the data storage module according to the determined abnormal type, and finally send the management and control instruction according to the selected emergency processing scheme.
It should be noted that, in the practical application process, the inspection terminal may further include an unprocessed database and a processed database, where the unprocessed database is used to temporarily store abnormal data that does not exceed a response preset duration threshold for the inspection staff to call and check; the processed database is used for storing the abnormal data which are exceeded and processed by the selection scheme for the inspection personnel to call and check. Meanwhile, if the inspection terminal receives the abnormal data again and determines that the abnormal data received again is the repeated data based on the processed database, an early warning prompt representing data repetition can be sent to a display panel of the inspection terminal, and if the abnormal data received again is judged not to be repeated with the data in the processed database, the abnormal data is processed based on the scheme of the embodiment.
The beneficial effects of the above technical scheme are: abnormal data are determined from the collected data in a convenient and efficient mode, the abnormal data can be fed back to corresponding terminal equipment, so that inspectors can know the data change condition of the electric power marketing service in time, loss and influence caused by the abnormal data can be reduced or lowered based on received control instructions, the requirement of electric power marketing inspection is met with high intelligence, the operation management level is improved, and the quality and the service level of marketing management work are improved.
Example four
Fig. 7 is a block diagram of a data monitoring apparatus according to a fourth embodiment of the present invention, which is capable of executing a data monitoring method according to any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 7, the apparatus specifically includes: a pending business data acquisition module 310, an abnormal data determination module 320, and a processing module 330.
The to-be-processed service data acquiring module 310 is configured to acquire to-be-processed service data, where the to-be-processed service data includes at least one of power service data, power consumption data, and power supply quality of service data.
The abnormal data determining module 320 is configured to determine abnormal data from the to-be-processed service data according to pre-stored reference data, and feed back the abnormal data to the terminal device associated with the to-be-processed service data.
And the processing module 330 is configured to receive a control instruction fed back by the terminal device, and process the abnormal data according to the control instruction.
Optionally, the to-be-processed service data obtaining module 310 is further configured to obtain the to-be-processed service data from the electric power big data platform according to the data acquisition instruction; and/or receiving the to-be-processed business data uploaded by the data acquisition equipment according to the detected trigger operation; and/or acquiring the to-be-processed service data based on pre-deployed distributed data monitoring equipment.
On the basis of the above technical solutions, the abnormal data determining module 320 includes an abnormal data determining unit and a feedback unit.
And the abnormal data determining unit is used for comparing the reference data with the to-be-processed service data, taking data which does not meet preset requirements in the to-be-processed data as abnormal data, and storing the abnormal data in a to-be-processed abnormal data unit of a data storage module.
And the feedback unit is used for constructing a corresponding abnormal data chart for the abnormal data based on the abnormal data unit to be processed and feeding the abnormal data chart back to the terminal equipment.
On the basis of the technical schemes, the data monitoring device further comprises a display module.
And the display module is used for displaying the abnormal data in a target interface by the terminal equipment and determining a corresponding control instruction based on the abnormal data.
Optionally, the display module is further configured to display the abnormal data in a target interface, and when a trigger operation is detected within a preset time period, generate the control instruction according to the trigger operation; when the trigger operation is not detected within a preset time, determining the data type of the abnormal data, and determining the corresponding abnormal event type according to the data type; and according to the abnormal event type, determining a corresponding target processing scheme in pre-stored processing schemes to be selected, and determining the control instruction based on the target processing scheme.
Optionally, the processing module 330 is further configured to send the control instruction to a target electrical device and/or a target scheduling center associated with the to-be-processed service data, so as to process the abnormal data through the target electrical device and/or the target scheduling center.
On the basis of the technical schemes, the data monitoring device further comprises a storage module.
And the storage module is used for storing the abnormal data in a processed abnormal data unit of the data storage module after the abnormal data is detected to be processed, carrying out repeated detection on the abnormal data based on the processed abnormal data unit when the abnormal data is determined again, and sending prompt information to the terminal equipment when the abnormal data is detected to be repeated with the data in the processed abnormal data unit.
According to the technical scheme provided by the embodiment, to-be-processed service data is obtained firstly, namely at least one of electric power service data, electricity utilization data and power supply service quality data is obtained; the method comprises the steps of determining abnormal data from service data to be processed according to prestored reference data, feeding the abnormal data back to terminal equipment associated with the service data to be processed, further receiving a control instruction fed back by the terminal equipment, processing the abnormal data according to the control instruction, determining the abnormal data from collected data in a convenient and efficient mode, and feeding the abnormal data back to corresponding terminal equipment, so that inspection personnel can know data change conditions of electric marketing services in time.
The data monitoring device provided by the embodiment of the invention can execute the data monitoring method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
EXAMPLE five
Fig. 8 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. FIG. 8 illustrates a block diagram of an exemplary electronic device 40 suitable for use in implementing embodiments of the present invention. The electronic device 40 shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 8, electronic device 40 is embodied in the form of a general purpose computing device. The components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 that couples the various system components (including the system memory 402 and the processing unit 401).
Bus 403 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 40 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 40 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)404 and/or cache memory 405. The electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interface 411. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 412. As shown, the network adapter 412 communicates with the other modules of the electronic device 40 over the bus 403. It should be appreciated that although not shown in FIG. 8, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 401 executes various functional applications and data processing by executing programs stored in the system memory 402, for example, to implement the data monitoring method provided by the embodiment of the present invention.
EXAMPLE six
An embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to perform a data monitoring method.
The method comprises the following steps:
acquiring to-be-processed service data, wherein the to-be-processed service data comprises at least one item of power service data, electricity utilization data and power supply service quality data;
determining abnormal data from the service data to be processed according to prestored reference data, and feeding the abnormal data back to the terminal equipment associated with the service data to be processed;
and receiving a control instruction fed back by the terminal equipment, and processing the abnormal data according to the control instruction.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable item code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
The item code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer project code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The project code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method of data monitoring, comprising:
acquiring to-be-processed service data, wherein the to-be-processed service data comprises at least one item of power service data, electricity utilization data and power supply service quality data;
determining abnormal data from the service data to be processed according to prestored reference data, and feeding the abnormal data back to the terminal equipment associated with the service data to be processed;
and receiving a control instruction fed back by the terminal equipment, and processing the abnormal data according to the control instruction.
2. The method according to claim 1, wherein the obtaining the service data to be processed comprises:
acquiring the to-be-processed business data from the electric big data platform according to the data acquisition instruction; and/or
Receiving the to-be-processed service data uploaded by the data acquisition equipment according to the detected trigger operation; and/or
And acquiring the to-be-processed service data based on the pre-deployed distributed data monitoring equipment.
3. The method according to claim 1, wherein the determining abnormal data from the to-be-processed service data according to pre-stored reference data and feeding the abnormal data back to the terminal device associated with the to-be-processed service data comprises:
comparing the reference data with the to-be-processed service data, taking data which does not meet preset requirements in the to-be-processed data as abnormal data, and storing the abnormal data in a to-be-processed abnormal data unit of a data storage module;
and constructing a corresponding abnormal data chart for the abnormal data based on the abnormal data unit to be processed, and feeding the abnormal data chart back to the terminal equipment.
4. The method according to claim 1, wherein after the feeding back the abnormal data to the terminal device associated with the pending traffic data, further comprising:
and the terminal equipment displays the abnormal data in a target interface and determines a corresponding control instruction based on the abnormal data.
5. The method of claim 4, wherein displaying the abnormal data in a target interface and determining a corresponding control command based on the abnormal data comprises:
displaying the abnormal data in a target interface, and generating the control instruction according to the trigger operation when the trigger operation is detected within a preset time length;
when the trigger operation is not detected within a preset time, determining the data type of the abnormal data, and determining the corresponding abnormal event type according to the data type;
and according to the abnormal event type, determining a corresponding target processing scheme in pre-stored processing schemes to be selected, and determining the control instruction based on the target processing scheme.
6. The scheme according to claim 1, wherein the processing the exception data according to the control instruction comprises:
and sending the control instruction to target electrical equipment and/or a target scheduling center associated with the to-be-processed service data so as to process the abnormal data through the target electrical equipment and/or the target scheduling center.
7. The method of claim 1, further comprising:
and when the abnormal data are detected to be processed completely, storing the abnormal data in a processed abnormal data unit of a data storage module, performing repeated detection on the abnormal data based on the processed abnormal data unit when the abnormal data are determined again, and sending prompt information to the terminal equipment when the abnormal data are detected to be repeated with the data in the processed abnormal data unit.
8. A data monitoring device, comprising:
the system comprises a to-be-processed business data acquisition module, a data processing module and a data processing module, wherein the to-be-processed business data acquisition module is used for acquiring to-be-processed business data, and the to-be-processed business data comprises at least one item of power business data, electricity consumption data and power supply service quality data;
the abnormal data determining module is used for determining abnormal data from the service data to be processed according to prestored reference data and feeding the abnormal data back to the terminal equipment associated with the service data to be processed;
and the processing module is used for receiving the control instruction fed back by the terminal equipment and processing the abnormal data according to the control instruction.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a data monitoring method as claimed in any one of claims 1-7.
10. A storage medium containing computer executable instructions for performing the data monitoring method of any one of claims 1-7 when executed by a computer processor.
CN202210005036.3A 2022-01-05 2022-01-05 Data monitoring method and device, electronic equipment and storage medium Pending CN114398354A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115065508A (en) * 2022-05-27 2022-09-16 青岛海尔科技有限公司 Method and apparatus for processing device twin data, storage medium, and electronic apparatus
CN115640285A (en) * 2022-10-24 2023-01-24 北京国电通网络技术有限公司 Power abnormality information transmission method, device, electronic apparatus, and medium
CN115759734A (en) * 2022-10-19 2023-03-07 国网物资有限公司 Index-based power service supply chain monitoring method, device, equipment and medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115065508A (en) * 2022-05-27 2022-09-16 青岛海尔科技有限公司 Method and apparatus for processing device twin data, storage medium, and electronic apparatus
CN115759734A (en) * 2022-10-19 2023-03-07 国网物资有限公司 Index-based power service supply chain monitoring method, device, equipment and medium
CN115759734B (en) * 2022-10-19 2024-01-12 国网物资有限公司 Index-based power service supply chain monitoring method, device, equipment and medium
CN115640285A (en) * 2022-10-24 2023-01-24 北京国电通网络技术有限公司 Power abnormality information transmission method, device, electronic apparatus, and medium
CN115640285B (en) * 2022-10-24 2023-10-27 北京国电通网络技术有限公司 Power abnormality information transmission method, device, electronic equipment and medium

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