CN113888349A - Electric power data analysis system - Google Patents
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Abstract
The present application relates to a power data analysis system. The method comprises the following steps: the system comprises a data caching module, a risk early warning module, a user analysis module and a visualization module; the data caching module is used for caching the power related data; the risk early warning module is used for responding to the risk early warning request, reading user power data, pushing power consumption risk early warning prompts when the power consumption of the user reaches a preset power consumption threshold value according to the user power data, reading user appeal information, determining abnormal appeal types according to the user appeal information, and pushing business risk early warning prompts according to the abnormal appeal types; the user analysis module is used for responding to the user analysis request, reading the user power data, and performing user analysis according to the user power data to obtain a user analysis result; and the visualization module is used for responding to the monitoring request, reading and carrying out visualization display according to the power grid topology, the distribution network equipment ledger, the streaming media information and the meteorological information. By adopting the system, the operation stability of the power grid can be improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a power data analysis system.
Background
With the continuous deepening and increasing of the intellectualization, informatization and integration degree of the power system, a large amount of generated power data brings new challenges and opportunities for the development of the power system.
In the whole production process of the power system, links such as sending, transmitting, changing, distributing, using, scheduling and coordinating can generate various power data in each link, namely, the power system can generate various data with various and huge quantities in actual operation, such as state monitoring data, power system operation data, operation and maintenance recording data and the like. The electric power data are analyzed and utilized, and guarantee can be provided for stable operation of the power grid.
However, in the conventional technology, since the electric power data is not sufficiently analyzed and utilized, there is a problem that the operation stability of the power grid is low.
Disclosure of Invention
In view of the above, it is necessary to provide a power data analysis system capable of improving the operation stability of the power grid.
A power data analysis system comprises a data caching module, a risk early warning module, a user analysis module and a visualization module;
the data caching module is used for caching user power data, user appeal information, power grid topology, distribution network equipment ledger, streaming media information and meteorological information in real time;
the risk early warning module is used for responding to the risk early warning request and reading user power data when receiving the risk early warning request, pushing power consumption risk early warning prompts when determining that the power consumption of a user reaches a preset power threshold according to the user power data, reading user appeal information, determining abnormal appeal types according to the user appeal information, and pushing business risk early warning prompts according to the abnormal appeal types;
the user analysis module is used for responding to the user analysis request when receiving the user analysis request, reading the user power data, and performing user analysis according to the user power data to obtain a user analysis result;
the visualization module is used for responding to the monitoring request when receiving the monitoring request, reading the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, and performing visual display according to the power utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information.
In one embodiment, the system further comprises a data security gateway module, wherein the data security gateway module is used for desensitizing and encrypting the data to be sent out.
In one embodiment, the data security gateway module is further configured to perform security authentication on the desensitized and encrypted data to be sent out, and when the security authentication passes, send out the desensitized and encrypted data to be sent out.
In one embodiment, the system further includes a data service management module, where the data service management module is configured to receive a data registration request carrying the user analysis result, and store the user analysis result in a preset data directory after the data registration request is verified.
In one embodiment, the data service management module is further configured to receive the data issuing request, and obtain and feed back the power data corresponding to the data issuing request from the preset data directory after the data issuing request is verified.
In an embodiment, the data service management module is further configured to receive a data modification request, determine, after the data modification request is verified, target data corresponding to the data modification request, modify the target data, and push a modified prompt to the target terminal after the modification is completed, where the modified prompt is used to prompt the target terminal to synchronize the modified target data.
In one embodiment, the visualization module is further configured to acquire the historical appeal information, determine the historical appeal hotspot according to the historical appeal information, and visually display the historical appeal hotspot.
In one embodiment, the visualization module is further configured to acquire user identity information, and associate and visually display the user identity information and user power data corresponding to the user.
In one embodiment, the user analysis module is further configured to extract a user outage factor according to the user power data, determine a user outage sensitive point according to the user outage factor, and push an outage prompt according to the outage information and the user outage sensitive point when the outage information is received, where the user outage factor is at least one of an outage time influence, an outage duration influence, an outage reason influence and a user outage feedback.
In one embodiment, the user analysis module is further configured to perform credit evaluation on the user according to the user power data to obtain a user credit evaluation result.
The power data analysis system responds to a risk early warning request and reads the power data of the user by caching the user power data, the user appeal information, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information in real time, can push the power consumption risk early warning prompt when the power consumption of the user reaches a preset power threshold value according to the power data of the user to realize the early warning prompt for the user, can determine the abnormal appeal type according to the user appeal information by reading the user appeal information, can timely find the service risk according to the abnormal appeal type and push the service risk early warning prompt to reduce the service risk, responds to the user analysis request when receiving the user analysis request, reads the power data of the user, performs user analysis according to the power data of the user to obtain a user analysis result, and can realize the maintenance of the power consumption user by utilizing the user analysis, when the monitoring request is received, the monitoring request is responded, and visual display is performed according to the electricity utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, so that the real-time monitoring of the power grid operation can be realized by utilizing the visual display. In the whole process, through the full analysis and utilization of electric power data, electricity utilization risk early warning, service risk early warning, user maintenance and visual monitoring can be realized, and the operation stability of a power grid is improved.
Drawings
FIG. 1 is a diagram of an exemplary implementation of a power data analysis system;
FIG. 2 is a block diagram of a power data analysis system in one embodiment;
FIG. 3 is a diagram illustrating analysis of a user in one embodiment;
FIG. 4 is a schematic flow chart illustrating operation of a data security gateway module in one embodiment;
FIG. 5 is a system architecture diagram of a power data analysis system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The power data analysis system provided by the application can be applied to the application environment shown in fig. 1. When a user 102 needs to analyze electric power data, a risk early warning request or a user analysis request or a monitoring request is sent to an electric power data analysis system in a terminal through interaction with the terminal 104, wherein the electric power data analysis system comprises a data caching module, a risk early warning module, a user analysis module and a visualization module; the data caching module is used for caching user power data, user appeal information, power grid topology, distribution network equipment ledger, streaming media information and meteorological information in real time; the risk early warning module is used for responding to the risk early warning request and reading user power data when receiving the risk early warning request, pushing power consumption risk early warning prompts when determining that the power consumption of a user reaches a preset power threshold according to the user power data, reading user appeal information, determining abnormal appeal types according to the user appeal information, and pushing business risk early warning prompts according to the abnormal appeal types; the user analysis module is used for responding to the user analysis request when receiving the user analysis request, reading the user power data, and performing user analysis according to the user power data to obtain a user analysis result; the visualization module is used for responding to the monitoring request when receiving the monitoring request, reading the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, and performing visual display according to the power utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information. The terminal 104 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
In one embodiment, as shown in fig. 2, a power data analysis system is provided, which is exemplified by the application of the system to the terminal in fig. 1, and includes a data caching module 202, a risk early warning module 204, a user analysis module 206, and a visualization module 208;
the data caching module 202 is configured to cache user power data, user appeal information, power grid topology, distribution network equipment ledger, streaming media information, and meteorological information in real time;
the risk early warning module 204 is used for responding to the risk early warning request when receiving the risk early warning request, reading user power data, pushing an electricity consumption risk early warning prompt when determining that the power consumption of the user reaches a preset power threshold according to the user power data, reading user appeal information, determining an abnormal appeal type according to the user appeal information, and pushing a service risk early warning prompt according to the abnormal appeal type;
the user analysis module 206 is configured to, when receiving a user analysis request, respond to the user analysis request, read user power data, perform user analysis according to the user power data, and obtain a user analysis result;
the visualization module 208 is configured to, when receiving the monitoring request, respond to the monitoring request, read the power grid topology, the distribution network device account, the streaming media information, and the weather information, and perform visual display according to the power consumption risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network device account, the streaming media information, and the weather information.
The user power data refers to all data generated by a user in a power utilization process, and includes user power consumption, power failure information corresponding to the user, power failure feedback information corresponding to the user, user power utilization credit information and the like. The power failure information corresponding to the user refers to power failure time, power failure duration, power failure reasons and the like associated with the user, and the power failure feedback information corresponding to the user refers to feedback of the user on the power failure condition. For example, the power failure feedback information corresponding to the user may specifically refer to feedback of the user on power failure time, power failure duration, power failure reason, and the like, and the user electricity utilization credit information is used to describe a credit condition of the user in the electricity utilization process, for example, the user electricity utilization credit information may specifically include electricity payment information, electricity utilization behavior information, contract fulfillment condition, and the like.
The user appeal information refers to appeal of a user for power supply conditions. For example, the user appeal information may specifically refer to power failure repair. In this embodiment, the user appeal information includes newly added appeal information and historical appeal information, where the newly added appeal information is appeal information in which a time interval between the appeal time and the risk early warning request is a preset time interval, and the historical appeal information is appeal information in which a time interval between the appeal time and the risk early warning request is greater than the preset time interval. The preset time interval can be set according to needs, for example, the preset time interval can be one week, and the newly added appeal information refers to appeal information of which the time interval between the appeal time and the risk early warning request is within one week.
The power grid topology refers to a graph formed by abstracting all devices, components and lines of a power grid into symbolic connection. The distribution network equipment account refers to information of distribution network equipment, including information of distribution network equipment such as a main distribution network, equipment types, areas, units and voltage levels. The streaming media information refers to information such as substation monitoring videos and operation site videos. The weather information includes thunder information, typhoon information, rainfall information and the like.
Specifically, the power data analysis system comprises a data cache module, the data cache module is used for caching user power data, user appeal information, a power grid topology distribution network equipment ledger, streaming media information and meteorological information in real time, and other modules in the power data analysis system can directly read from the data cache module when needing the information.
Specifically, when risk early warning is required, a user can send a risk early warning request to the electric power data analysis system, a risk early warning module in the electric power data analysis system can respond to the risk early warning request when receiving the risk early warning request, the electric power data of the user is read, whether the power consumption of the user in the electric power data of the user reaches a preset electric quantity threshold value or not is determined, and when the power consumption of the user reaches the preset electric quantity threshold value, a power consumption risk early warning prompt is pushed to the user to prompt that the user has insufficient available electric quantity and needs to pay electric charges. Meanwhile, the risk early warning module can also read the user appeal information, compares newly-added appeal information with historical appeal information in the user appeal information to determine the suddenly-increased appeal information, determines the corresponding abnormal appeal type according to the suddenly-increased appeal information, pushes the service risk early warning prompt to a worker according to the abnormal appeal type, and prompts the worker to maintain the power equipment corresponding to the abnormal appeal type. The demand information with the suddenly increased quantity refers to demand information with the occurrence frequency in the newly increased demand information being far larger than the occurrence frequency in the historical demand information. For example, the demand information with the suddenly increased quantity may specifically refer to fault maintenance of a specific region, which is far larger than a self-set standard as required, for example, the far larger quantity may specifically refer to that a difference between the occurrence frequency in the newly increased demand information and the occurrence frequency in the historical demand information is larger than a preset quantity threshold, and the quantity threshold may be self-set as required. For another example, the fact that the ratio of the occurrence frequency in the newly added demand information to the occurrence frequency in the historical demand information is greater than a preset ratio threshold may be specifically greater than the preset ratio threshold, and the ratio threshold may be set as needed.
Further, the risk early warning module still can generate the scatter diagram that corresponds with user's charges of electricity electric quantity according to user's power consumption to propelling movement carries out visual display to visual module, in order to show that the user's power consumption falls in which region directly perceivedly, whether at preset electric quantity threshold value edge. Meanwhile, the risk early warning module can also generate a demand comparison graph, a line graph of the trend change of the newly increased demand information along with time and a histogram corresponding to the demand information with the suddenly increased quantity according to the newly increased demand information and the historical demand information, and pushes the line graph and the histogram to the visualization module for visualization display.
Specifically, when a user needs to be analyzed, a worker sends a user analysis request to the power data analysis system, and a user analysis module in the power data analysis system responds to the user analysis request when receiving the user analysis request, reads the user power data, and analyzes and mines the user power data to obtain a user analysis result. The user analysis result specifically can be a user label, and accurate portrait of a user can be realized based on the user label. The user tags include, but are not limited to, a user grouping tag, a user channel tag, a user risk tag, a user satisfaction tag, a user credit tag, and the like. Furthermore, a label model trained in advance is included in the user analysis module, and the corresponding user label can be obtained by inputting the user power data into the label model trained in advance. For example, as shown in fig. 3, the user power data includes data such as a customer work order, a customer file, a power outage plan, a payment list, and the like, and the data is respectively input into a user grouping model, a user channel model, a user risk model, a user satisfaction model, and a user credit model, so as to obtain a corresponding user grouping tag, a user channel tag, a user risk tag, a user satisfaction tag, and a user credit tag, and after obtaining the tags, the user analysis module respectively pushes the tags into a corresponding user grouping tag library, a user channel tag library, a user risk tag library, a user satisfaction tag library, and a user credit tag library in the data cache module for caching. The channel preference conditions of different users can be visually displayed from different classifications by obtaining the corresponding user channel labels, so that support can be provided for business strategy formulation.
Further, when the user clustering label is obtained, the user analysis module extracts a key field corresponding to the preset value dimension from the user power data, extracts a characteristic variable corresponding to the preset value dimension according to the key field, inputs the characteristic variable corresponding to the preset value dimension into a pre-trained user clustering model to identify the characteristic expression of the user in the preset value dimension, and realizes user clustering through the preset value dimension. The preset value dimension and the key field corresponding to the preset value dimension can be set according to needs, for example, the preset value dimension specifically can refer to customer satisfaction, income increase, cost optimization, risk prevention and control, social responsibility and the like. The key fields corresponding to the preset value dimension may be satisfaction, cost, etc.
Specifically, when monitoring is needed, a worker can send a monitoring request to the electric power data analysis system, a visualization module in the electric power data analysis system can respond to the monitoring request when receiving the monitoring request, read the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, and perform visualization display on a preset map according to the power utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information. Further, the visualization module can display different information by using different colors of rendering.
Further, aiming at the distribution network equipment ledger, the visualization module can display the distribution network equipment ledger through an equipment resource layer and a transformer substation layer, the equipment resource layer identifies different types of equipment of the power grid through different graphs on a map, the equipment information of a main distribution network, an equipment type, an area, a unit, a voltage grade, a manufacturer and the like corresponding to the equipment can be synchronously displayed, and a worker can quickly search the equipment meeting the conditions through the equipment information and display the equipment on the map. The visualization module can also display the states of the equipment through different colors, including normal operation, failure maintenance and the like. The transformer substation map layer represents transformer substations with different voltage levels through different colors on a map, transformer substation information such as areas, units, voltage levels and transformer substation names corresponding to the transformer substations can be synchronously displayed, and workers can quickly search the transformer substations meeting the conditions through the transformer substation information and display the transformer substations on the map. The visualization module represents the voltage grade of the transformer substation through different colors.
Further, aiming at the power grid topology, the visualization module displays the power grid topology through a power grid topology layer, the power grid topology layer identifies the power grid topology on a map through connecting lines, and lines meeting conditions can be quickly found through a main distribution network, an equipment type, an area, a unit, a voltage grade, a manufacturer and the like and displayed on the map. The state of the line can be displayed on the map through different colors, and the state comprises normal operation, failure maintenance and the like.
Furthermore, the visualization module can visually display the running state of the substation equipment, the risk of field operation and other conditions by accessing the streaming media information such as the substation monitoring video and the operation field video, so that the operation risk is reduced, and the running stability of the power grid is improved. The electricity utilization risk early warning prompt, the service risk early warning prompt and the user analysis result can be specifically displayed in a pop-up window mode.
Further, the weather information includes lightning information, typhoon information, and rainfall information. Aiming at the thunder information, the thunder condition in a certain area can be identified by thunder marks on a map through a thunder layer, and the thunder condition in the certain area in certain time can be directly found through time, area, units and the like and displayed on the map. Wherein, to the thunder and lightning region that detects, visual module can show the severity level of thunder and lightning through different colours on the map, and the higher region of key control thunder and lightning level provides visual control for regional thunder and lightning early warning.
For typhoon information, a typhoon predicted travelling route can be represented on a map by a line through a typhoon map layer, and a typhoon path in a certain area in a certain time can be directly found through time, areas, units and the like and displayed on the map. The typhoon prevention state can be represented by lines of different colors on the map, and visual monitoring is provided for windproof early warning. Specifically, blue is for preventing typhoon, yellow is for entering a windproof state, orange is for entering an emergency windproof state, and red is for entering a particularly emergency windproof state.
For rainfall information, the rainfall condition in an area can be represented by colors on a map through a rainfall map layer, and the rainfall condition in a certain area in a certain time can be directly found through time, area, units and the like and displayed on the map. The different rainfall conditions of the measuring points are represented on the map through different colors, and visual monitoring is provided for regional rainfall early warning.
The power data analysis system responds to a risk early warning request and reads the power data of the user by caching the user power data, the user appeal information, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information in real time, can push the power consumption risk early warning prompt when the power consumption of the user reaches a preset power threshold value according to the power data of the user to realize the early warning prompt for the user, can determine the abnormal appeal type according to the user appeal information by reading the user appeal information, can timely find the service risk according to the abnormal appeal type and push the service risk early warning prompt to reduce the service risk, responds to the user analysis request when receiving the user analysis request, reads the power data of the user, performs user analysis according to the power data of the user to obtain a user analysis result, and can realize the maintenance of the power consumption user by utilizing the user analysis, when the monitoring request is received, the monitoring request is responded, and visual display is performed according to the electricity utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, so that the real-time monitoring of the power grid operation can be realized by utilizing the visual display. In the whole process, through the full analysis and utilization of electric power data, electricity utilization risk early warning, service risk early warning, user maintenance and visual monitoring can be realized, and the operation stability of a power grid is improved.
In one embodiment, the system further comprises a data security gateway module, wherein the data security gateway module is used for desensitizing and encrypting the data to be sent out.
The to-be-sent data refers to power data which can be sent out to other applications by the power data analysis system. For example, the data to be sent out may be the user analysis result. Desensitization refers to filtering out sensitive information in the data to be sent out. For example, the sensitive information may specifically refer to user identity information. Encryption means that original information data is changed by a special algorithm, so that even if an unauthorized user obtains encrypted information, the content of the information cannot be known because a decryption method is not known, and the information security degree can be improved through encryption.
Specifically, the electric power data analysis system further comprises a data security gateway module, when data needs to be sent out, namely, data service is provided to the outside, other modules in the electric power data analysis system can output data to be sent out to the data security gateway module, the data security gateway module can perform desensitization and encryption processing on the data to be sent out according to a preset data encryption desensitization rule, and then the data to be sent out are sent out. The preset data encryption desensitization rule can be set by itself according to needs, for example, an encryption mode and a keyword which needs to be encrypted can be set in the preset data encryption desensitization rule.
In the embodiment, by desensitizing and encrypting the data to be sent out, sensitive information can be protected, and the information security degree is improved.
In one embodiment, the data security gateway module is further configured to perform security authentication on the desensitized and encrypted data to be sent out, and when the security authentication passes, send out the desensitized and encrypted data to be sent out.
Specifically, after desensitization and encryption processing are carried out on data to be sent out, the data security gateway module can also carry out security verification on the data to be sent out after desensitization and encryption processing so as to confirm whether desensitization and encryption processing are finished on the data to be sent out after desensitization and encryption processing, when the security verification is passed, the data to be sent out after desensitization and encryption processing are sent out again, namely the data to be sent out can provide data service, when the security verification is not passed, the data security gateway module can push an external sending failure prompt to a module for outputting the data to be sent out, desensitization and encryption processing are carried out on the data to be sent out again until the data to be sent out after desensitization and encryption processing pass the security verification, the data to be sent out after desensitization and encryption processing are sent out, and the module for outputting the data to be sent out is pushed out successfully and prompted to the module for outputting the data to be sent out.
For example, as shown in fig. 4, the data security gateway module may function as shown in fig. 4, after receiving data to be sent out from the data center (i.e. other modules in the power data analysis system), desensitizes and encrypts the data to be sent out by using a preset data encryption desensitization rule, performing data security audit (namely security verification) on the desensitized and encrypted data to be sent out, sending out the data to be sent out when the data security audit is passed, the data to be sent out can provide data service, when the data safety audit is not passed, the sending out failure prompt is fed back to the data center, and carrying out desensitization and encryption processing on the data to be sent out by reusing the data encryption desensitization rule until the data to be sent out after desensitization and encryption processing passes through security audit, and pushing a successful sending prompt to the data center.
In the embodiment, safety verification is performed on the desensitized and encrypted data to be sent out, and when the safety verification is passed, the desensitized and encrypted data to be sent out are sent out, so that the safety sending out of the data can be ensured.
In one embodiment, the system further includes a data service management module, where the data service management module is configured to receive a data registration request carrying the user analysis result, and store the user analysis result in a preset data directory after the data registration request is verified.
The data service management module is a module for managing externally provided data services, and the externally provided data services are data interaction with other external application programs and the like, data publishing, management data issuing, data modification and the like. The preset data directory refers to a directory set in advance for storing registered data.
Specifically, the user analysis result needs to be stored in the preset data directory, that is, the user analysis result needs to be registered in a result library of the preset data directory, so that the user analysis result can be displayed when the preset data directory is viewed. Therefore, after obtaining the user analysis result, the user analysis module in the power data analysis system outputs a data registration request carrying the user analysis result to the data service management module, the data service management module performs authority verification on a sender of the data registration request after receiving the data registration request carrying the user analysis result, and stores the user analysis result into a preset data directory after the authority verification is passed.
It should be noted that, in addition to the user analysis result, the power data generated by other modules in the power data analysis system may also be stored in the preset data directory by means of data registration. Further, after the data registration is completed, the data service management module may issue a data registered prompt to notify other external applications that need to acquire data.
The authority verification mainly refers to verifying whether a sender of the data registration request qualifies for data registration. For example, the data service management module stores in advance a module identifier corresponding to a module having data registration qualification, when the user analysis module sends a data registration request, the data registration request carries an identifier of the user analysis module, and the data service management module can determine whether the user analysis module has the data registration qualification by comparing the pre-stored module identifier with the identifier of the user analysis module.
In this embodiment, the data registration request is verified when the data registration request carrying the user analysis result is received, and the user analysis result is stored in the preset data directory after the data registration request is verified, so that the user analysis result can be registered.
In one embodiment, the data service management module is further configured to receive the data issuing request, and obtain and feed back the power data corresponding to the data issuing request from the preset data directory after the data issuing request is verified.
Specifically, when a user using other external application program wants to acquire data in the power data analysis system, the user sends a data issuing request to the data service management module, the data service management module verifies the data issuing request according to a sender identifier in the data issuing request, and after the data issuing request is verified, the user acquires and feeds back power data corresponding to the data issuing request from a preset data directory. It should be noted that, when the power data corresponding to the data issuing request is fed back, the data service management module outputs the power data corresponding to the data issuing request to the data security gateway module, and the data security gateway module performs desensitization, encryption processing and security verification on the power data corresponding to the data issuing request and then sends the power data out.
The sender identification is used for representing the identity of the sender, and the data service management module can confirm whether the sender has the authority of acquiring the requested power data or not through the sender identification. Further, when the data issuing request is verified according to the sender identifier in the data issuing request, the data service management module displays a data issuing request verification prompt including the sender identifier, an administrator using a terminal including the power data analysis system can verify the data issuing request according to the sender identifier, and the administrator can check whether the power data requested by the sender is suitable for the sender, whether confidential matters exist, whether the demand is reasonable and the like so as to feed back a data issuing request verification result, and when the sender is confirmed to obtain the requested data, the administrator can feed back that the data issuing request is verified.
In this embodiment, the data issuing request is verified when the data issuing request is received, and after the verification is passed, the power data corresponding to the data issuing request is acquired from the preset data directory and fed back, so that the power data can be distributed.
In an embodiment, the data service management module is further configured to receive a data modification request, determine, after the data modification request is verified, target data corresponding to the data modification request, modify the target data, and push a modified prompt to the target terminal after the modification is completed, where the modified prompt is used to prompt the target terminal to synchronize the modified target data.
Specifically, when data on a preset data directory needs to be modified, a user sends a data modification request to a data service management module, the data service management module verifies the data modification request after receiving the data modification request, determines whether a sender of the data modification request has a modification right, confirms that the data modification request is verified when the sender of the data modification request has the modification right, the data service management module determines target data corresponding to the data modification request, modifies the target data, and pushes a modified prompt to a target terminal after the modification is completed, and the modified prompt is used for prompting the target terminal to synchronize the modified target data.
The data service management module is used for pushing the data modification content to a target terminal of a target user which is affected after the data modification when the target data is modified, giving an adjustment time limit for a certain time so that the target user can adjust own data or programs according to the data modification content at the target terminal, and modifying the target data according to the data modification content after the adjustment time limit. The target user affected after the data modification refers to a user performing service processing by using the target data at the target terminal. For example, the target user may specifically refer to a user using an external application.
In this embodiment, after the data modification request is verified, the target data corresponding to the data modification request is determined, the target data is modified, and the modified prompt is pushed to the target terminal after the modification is completed, so that the data modification can be realized, and the data synchronization can be realized after the modification is completed.
In one embodiment, the visualization module is further configured to acquire the historical appeal information, determine the historical appeal hotspot according to the historical appeal information, and visually display the historical appeal hotspot.
Specifically, the visualization module can determine the historical appeal hotspots according to the historical appeal information by acquiring the historical appeal information, so as to visually display the historical appeal hotspots. The historical appeal hotspot refers to a hot appeal which appears in the historical appeal information for many times. For example, the historical appeal hotspot may specifically refer to a fault repair area that appears multiple times.
Furthermore, the visualization module can visually present the historical appeal hotspots in the forms of graphs, tables and the like, so that the historical appeal hotspots can be conveniently and visually checked, the hotspots can be displayed by using graphs such as regional thermodynamic diagrams and the like from the region dimension, the historical appeal trend and the change condition can be checked by using the forms of line graphs and the like from the time dimension, or specific user numbers are input, and the historical appeal hotspots of a specific user are displayed in the forms of bar graphs and the like.
In the embodiment, the historical appeal information is obtained, the historical appeal hotspots are determined according to the historical appeal information, and the historical appeal hotspots can be visually displayed so that the historical appeal hotspots can be intuitively known.
In one embodiment, the visualization module is further configured to acquire user identity information, and associate and visually display the user identity information and user power data corresponding to the user.
The user identity information refers to information representing the identity of the user. For example, the user identity information may specifically refer to a user number.
Specifically, the user power data carries the user identifier, the visualization module acquires the user identity information, associates the user identity information with the user power data corresponding to the user according to the user identifier, and then visually displays the user identity information and the user power data. The user identifier may specifically refer to a user number. Furthermore, the user identity information and the user power data corresponding to the user can be displayed on a map through a user map layer. Different users are represented by dots with different colors on the map of the user layer, and different types of users can be quickly searched and displayed on the map through areas, stations, lines, voltage levels, addresses and the like.
In the embodiment, the user identity information and the user power data corresponding to the user are displayed in a correlated and visualized manner by acquiring the user identity information, so that the user and the power utilization condition of the user can be intuitively known.
In one embodiment, the user analysis module is further configured to extract a user outage factor according to the user power data, determine a user outage sensitive point according to the user outage factor, and push an outage prompt according to the outage information and the user outage sensitive point when the outage information is received, where the user outage factor is at least one of an outage time influence, an outage duration influence, an outage reason influence and a user outage feedback.
The user power failure sensitive point refers to a power failure factor which is relatively noticed by the user. For example, the user power failure sensitive point may specifically refer to a power failure sensitive time point, power failure sensitive time duration, a power failure sensitive reason, and the like. The power outage sensitive time point may refer to a specific time point, such as morning, noon, afternoon, or a specific time period. The outage sensitivity duration may refer to a specific time period, say more than two hours. The reason for the sensitivity to power failure is a cause of power failure, for example, temporary power failure, planned power failure, or the like.
Specifically, the user power data comprises power failure information corresponding to a user and power failure feedback information corresponding to the user, the user analysis module performs statistical analysis on the power failure information corresponding to the user and the power failure feedback information corresponding to the user, a user power failure factor can be extracted, a user power failure sensitive point can be determined according to the user power failure factor, when the user has the power failure feedback information at a time point corresponding to the power failure information, the user is sensitive, and therefore the user can obtain whether the user is interested in power failure time, power failure duration or power failure reason, therefore, when the power failure information is received, the power failure information is matched with the user power failure sensitive point, when the power failure information is successfully matched with the user power failure sensitive point, a power failure prompt is pushed to the user, and accurate prompt of the user is achieved.
In the embodiment, the user power failure factor is extracted according to the user power data, the user power failure sensitive point is determined according to the user power failure factor, and when the power failure information is received, the power failure prompt is pushed according to the power failure information and the user power failure sensitive point, so that the accurate prompt of the user can be realized, and the purpose of effectively reducing the user appeal is achieved.
In one embodiment, the user analysis module is further configured to perform credit evaluation on the user according to the user power data to obtain a user credit evaluation result.
Specifically, the user power data includes user power utilization credit information, the user power utilization credit information specifically includes power fee payment information, power utilization behavior information, contract fulfillment conditions and the like, and the user analysis module performs credit assessment on the user according to the power fee payment information, the power utilization behavior information and the contract fulfillment conditions so as to obtain a user credit assessment result. The electric charge payment information is used for describing whether the user pays the electric charge on schedule or not and whether the condition that the electric charge is not paid in due schedule exists or not. The electricity utilization behavior information is used for describing whether the user has abnormal electricity utilization behavior, and if so, whether the electricity utilization quantity is increased suddenly. The contract fulfillment condition is used for describing whether the power supply contract is normally fulfilled.
Furthermore, the user analysis module can also be used for acquiring a corresponding institution credit evaluation result from the credit evaluation system of the credit evaluation institution for the credit evaluation system of the credit evaluation institution, and performing credit evaluation on the user by combining the institution credit evaluation result and the user power data to obtain a user credit evaluation result. Specifically, the credit evaluation method for the user may be as follows: and performing feature extraction according to the electric charge payment information, the electricity consumption behavior information, the contract fulfillment condition and the institution credit evaluation result to obtain corresponding user credit evaluation features, inputting the user credit evaluation features into a pre-trained user credit evaluation model, and outputting the corresponding user credit evaluation result by using the user credit evaluation model. The pre-trained user credit evaluation model can be obtained by training sample user power data carrying a sample credit evaluation label.
In the embodiment, credit evaluation is performed on the user by using the user power data, so that the construction of a credit system in the power industry can be promoted, and a credit chain management mechanism is formed to assist the stable operation of a power grid.
In one embodiment, the power data analysis system further includes a service analysis module, and the service analysis module is configured to obtain service data from the data cache module, and perform analysis according to the service data to obtain a service analysis result.
Specifically, the power data analysis system further comprises a service analysis module, and the service analysis module can acquire service data and perform analysis according to the service data to obtain a service analysis result. The business analysis module can acquire internal data (such as business hall research data, marketing system data, file data and the like) and external data (such as economic development data and the like) of the business hall, and carries out modeling consideration on the business hall from four dimensions of moderate business, convenience and quickness of customers, controllable cost, future development and the like. For example, the index weight can be adjusted by using methods such as a variation coefficient and a delphi method, and the like, so as to perform overall evaluation on each business hall, thereby achieving the purposes of finding out business hall differences, reducing business hall cost, and improving convenience and satisfaction of customers.
The business analysis module can obtain channel income, fixed asset investment and channel service operation cost, calculate the actual income of the channel through the comprehensive comparison value of the channel income, the fixed asset investment and the channel service operation cost, calculate the single service cost of each type of business according to the calculation of each channel business volume, use the cost benefit analysis as the core element of the investment development of the service channel and provide important support for the sustainable development planning of the channel.
The business analysis module can also analyze production operation supervision data, and can perform benchmarking analysis statistics on risks, efficiencies and costs of each district and each main network unit according to a preset evaluation period, wherein the preset evaluation period can be set automatically according to needs.
In one embodiment, the power data analysis system of the present application is illustrated by a system architecture diagram, as shown in FIG. 5.
The electric power data analysis system comprises a data warehouse (namely a data caching module), a business component, a technical component (corresponding to a risk early warning module, a user analysis module and a visualization module), a data service management module, a data security gateway and a data target management module.
The data warehouse comprises a pasting source layer and a data warehouse layer which are in butt joint with a source database, and is used for acquiring and caching user power data, user appeal information, power grid topology, distribution network equipment ledger, streaming media information and meteorological information from the source database (comprising an enterprise management information system, a professional system, an external system and the like) in real time. The client appeal analysis in the service component is used for acquiring historical appeal information, determining a historical appeal hotspot according to the historical appeal information, and visually displaying the historical appeal hotspot. And the customer grouping management is used for obtaining a customer grouping label according to the customer power data. And the comprehensive performance management evaluation is used for carrying out business analysis to obtain a business analysis result. The production resource visualization and visualization module corresponds to the power grid topology and the distribution network equipment account, the streaming media information and the meteorological information, and is used for responding to the monitoring request when the monitoring request is received, reading the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, and performing visualization display according to the power utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information. The artificial intelligence assembly, the autonomous analysis assembly and the integrated prior art assembly in the technical assembly are used for realizing the function of the user analysis module, responding to the user analysis request when receiving the user analysis request, reading the user power data, and performing user analysis according to the user power data to obtain a user analysis result. Wherein, prior art subassembly mainly includes: data collection tools (e.g., OGG, Oracle golden gate, log-based structured data replication software), big data processing platforms (including batch processing, stream processing), visualization tools (e.g., Tableau), data mining visualization tools (e.g., SAP PA), on big data platforms (e.g., sophon), data mining frameworks (TensorFlow), and the like. The data service management is used for realizing data registration and release, data application service, data distribution service and data modification service, wherein the data application service and the data distribution service correspond to data issuing service. When a user initiates a data application service or a data distribution service, the data service management module receives the data issuing request, and after the data issuing request is verified, the data service management module acquires and feeds back power data corresponding to the data issuing request from a preset data directory. The data security gateway is used for desensitizing and encrypting the data to be sent out, and sending the data to be sent out after desensitization and encryption to data applications (including control services (such as services related to production data subjects and marketing data subjects) and competitive services (such as services related to power stores and power finance)).
In addition, the electric power data analysis system also comprises an operation control center which is used for realizing platform operation and maintenance monitoring, system safety control, task scheduling configuration and system log management, monitoring data services and ensuring that the data services are carried out safely, orderly and efficiently. The electric power data analysis system is integrated with a space-time big data platform, and the power grid topology, the distribution network equipment ledger, the streaming media information, the meteorological information and the like can be acquired from the space-time big data platform.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power data analysis system is characterized by comprising a data caching module, a risk early warning module, a user analysis module and a visualization module;
the data caching module is used for caching user power data, user appeal information, power grid topology, distribution network equipment ledger, streaming media information and meteorological information in real time;
the risk early warning module is used for responding to a risk early warning request when receiving the risk early warning request, reading the user power data, pushing an electricity consumption risk early warning prompt when determining that the power consumption of a user reaches a preset power threshold according to the user power data, reading the user appeal information, determining an abnormal appeal type according to the user appeal information, and pushing a service risk early warning prompt according to the abnormal appeal type;
the user analysis module is used for responding to a user analysis request when receiving the user analysis request, reading the user power data, and performing user analysis according to the user power data to obtain a user analysis result;
the visualization module is used for responding to the monitoring request when receiving the monitoring request, reading the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information, and performing visualization display according to the electricity utilization risk early warning prompt, the service risk early warning prompt, the user analysis result, the power grid topology, the distribution network equipment account, the streaming media information and the meteorological information.
2. The system of claim 1, further comprising a data security gateway module configured to desensitize and encrypt outgoing data.
3. The system of claim 2, wherein the data security gateway module is further configured to perform security authentication on the desensitized and encrypted outgoing data, and to send the desensitized and encrypted outgoing data when the security authentication is passed.
4. The system of claim 1, further comprising a data service management module, wherein the data service management module is configured to receive a data registration request carrying the user analysis result, and store the user analysis result in a preset data directory after the data registration request is verified.
5. The system of claim 4, wherein the data service management module is further configured to receive a data delivery request, and when the data delivery request is verified, obtain and feed back power data corresponding to the data delivery request from the preset data directory.
6. The system of claim 4, wherein the data service management module is further configured to receive a data modification request, determine target data corresponding to the data modification request after the data modification request is verified, modify the target data, and push a modified prompt to a target terminal after the modification is completed, where the modified prompt is used to prompt the target terminal to synchronize the modified target data.
7. The system of claim 1, wherein the visualization module is further configured to obtain historical appeal information, determine a historical appeal hotspot according to the historical appeal information, and visually display the historical appeal hotspot.
8. The system of claim 1, wherein the visualization module is further configured to obtain user identity information, and associate the user identity information with corresponding user power data for visualization.
9. The system of claim 1, wherein the user analysis module is further configured to extract a user outage factor according to the user power data, determine a user outage sensitive point according to the user outage factor, and push an outage prompt according to the outage information and the user outage sensitive point when receiving outage information, wherein the user outage factor is at least one of an outage time influence, an outage duration influence, an outage reason influence, and a user outage feedback.
10. The system of claim 1, wherein the consumer analysis module is further configured to perform a credit assessment on the consumer according to the consumer power data to obtain a consumer credit assessment result.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114881681A (en) * | 2022-03-17 | 2022-08-09 | 广西电网有限责任公司贵港供电局 | Task system is synthesized in science and technology electric power marketing |
| CN115086432A (en) * | 2022-06-10 | 2022-09-20 | 深圳云创数安科技有限公司 | Data processing method, device, equipment and storage medium based on gateway supervision |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114881681A (en) * | 2022-03-17 | 2022-08-09 | 广西电网有限责任公司贵港供电局 | Task system is synthesized in science and technology electric power marketing |
| CN115086432A (en) * | 2022-06-10 | 2022-09-20 | 深圳云创数安科技有限公司 | Data processing method, device, equipment and storage medium based on gateway supervision |
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