CN118246926A - Accurate study and judgment and active service method for client side power failure - Google Patents
Accurate study and judgment and active service method for client side power failure Download PDFInfo
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Abstract
The application provides a method for precisely studying and judging power failure and actively serving a client side, which comprises the following steps: the power failure detection method comprises the steps that a main acquisition station acquires power consumption information of each transmission node of a power grid, and when power failure fault information is monitored, a repeated detection mode is started, and high-priority repeated detection acquisition is carried out on the power consumption information of the associated transmission nodes; the power outage checking center performs check matching with a preset power outage fault model according to the acquired information, and generates power outage node information according to a matching result and a power grid topological graph; the client association module is used for generating a power outage sheet by matching the association area and/or the client file based on the power outage node information; and the monitoring feedback module is associated with the mobile terminal, receives the work order result feedback and transmits the work order result feedback to the power failure checking center. The application automatically confirms the power failure node and the associated area and customer, improves the processing speed of the power failure fault and the satisfaction degree of the customer, repeatedly recalls the test mode, avoids the problems of missing report, delayed report and false report of the power failure fault information, and improves the performance and accuracy of the active research and judgment of the power failure fault model.
Description
Technical Field
The application relates to the technical field of power grid informatization, in particular to a client side power failure accurate research and judgment and active service method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The customer electricity consumption experience is continuously improved as a stand point of marketing service work, and the power failure event relates to customer perception and enterprise image, which is a serious problem. The traditional rush-repair service mode has the problems that the power failure information is not timely enough, the power failure fault positioning is not accurate enough, the power failure information can only be passively accepted, the post-treatment is carried out, the service is low-efficiency, and the like, and the urgent requirements that a customer wants to know the power failure reason, the treatment progress and the re-electricity time are difficult to meet.
Based on the above requirements, the company needs to actively develop a software system for actively performing power outage research and judgment, and finds that, in the actual development and test operation process, due to the collection of the mass information of the load-bearing power grid, the system has the problems of missing report and delayed report of power outage fault information caused by data congestion, and the problem of false report of power outage fault information caused by various reasons on the client side cannot be avoided, thus bringing about the problem of accurate research and judgment of power outage faults.
Disclosure of Invention
In order to solve the problems, the application provides a client-side power failure accurate research and judgment and active service method, which actively researches and judges collected related fault information through a power failure fault model, automatically confirms power failure nodes, associated areas and clients, improves the processing speed of power failure faults and the satisfaction degree of the clients, actively collects the power failure fault information with high priority through repeated calling modes, avoids the problems of missing report and delayed report of the power failure fault information caused by communication congestion and the false report of the power failure fault information caused by various reasons, and improves the performance and accuracy of the active research and judgment of the power failure fault model.
The application provides a client side power failure accurate research and judgment and active service method, which is based on a power failure active service system consisting of an acquisition master station, a power failure checking center, a client association module and a monitoring feedback module, and comprises the following specific steps:
Step 100: the power failure detection method comprises the steps that a main acquisition station acquires power consumption information of each transmission node of a power grid, when power failure fault information is monitored, a repeated detection mode is started, high-priority repeated detection acquisition is carried out on the power consumption information of the associated transmission nodes, and the acquired information is transmitted to a power failure check center;
Step 200: the power outage checking center performs check matching with a preset power outage fault model according to the acquired information, generates power outage node information according to a matching result by combining a power grid topological graph, and transmits the power outage node information to the client association module;
Step 300: the customer association module is used for matching the associated area and/or the customer file based on the power failure node information, removing the area and/or the customer file related to the existing power failure work order and generating a power failure work order;
Step 400: and the monitoring feedback module is associated with the mobile terminal of the maintainer, receives the work order result feedback and transmits the work order result feedback to the power failure checking center, and the power failure checking center optimizes the power failure fault model based on the work order result feedback.
Preferably, the collecting main station and the power failure checking center are embedded in the power consumption information collecting system, the client association module is embedded in the marketing service center, and the monitoring feedback module is embedded in the comprehensive business digitizing platform of the power supply station; the electricity consumption information comprises basic electricity consumption parameters and fault monitoring information.
Preferably, in the step 100, the collecting main station starts a repeated calling mode, and the specific method for performing repeated calling collection with high priority on the power consumption information of the associated transmission node includes:
S101: the acquisition master station comprises an accounting generation module and a retrieval transmission module, wherein the accounting generation module is used for opening A queues to be transmitted according to the number of the associated nodes, each queue corresponds to one power grid transmission node, each transmission node corresponds to one reporting delay Td_i, the accounting generation module is used for acquiring power failure fault information in real time to generate a calling data packet of the corresponding transmission node and filling the calling data packet into each transmission queue, I is the number of the queues to be transmitted, and the value is 1,2 and I;
S102: the searching and transmitting module searches and acquires the data packet of each queue to be transmitted, generates a current transmission set CurrentSendData, generates corresponding priority transmission time periods [ T_st, T_et ] based on a preset priority transmission rate V, and ends the repeated calling mode when each queue to be transmitted is searched to be empty;
S103, the searching and transmitting module freely transmits the data in the set CurrentSendData from the current moment of the current acquisition period to the T_st time period, and the data which are not transmitted in the set CurrentSendData are transmitted by adopting the priority transmission rate V after the T_st time period;
s104: the retrieval transmission module acquires conventional electricity information after completing data transmission in the set CurrentSendData until the current acquisition period is finished, and jumps to step S102;
The collection master station repeatedly calls the collection nodes in N continuous collection periods aiming at the fault information related nodes in each power failure, and only collects the fault information related nodes in each power failure once in each collection period.
Preferably, in the step S102, the generating method of the priority transmission period [ t_st, t_et ] is as follows:
S121: confirming the generation time Ta_ij, the data packet size M_ij, the queue reporting delay Td_i and the current time Tc of corresponding data packets of each transmission queue, calculating the pre-transmission time Ttr_ij, ttr_ij=M_ij/V based on the priority transmission rate V, wherein j is the number of the data packet in the queue to be transmitted, the value is 1,2, I, and the basic transmission time of each data packet is Tto_ij=Td_i+Ttr_ij;
s122: the data packets of each transmission queue are integrated and ordered according to the front and back of the generation time, the data packets are grabbed according to the following formula,
，
Wherein Tend is the end time point of the current acquisition period, tnor is the reserved basic time interval for the conventional electricity consumption information acquisition, and Tre is the preset free transmission redundancy time of the data packet operation;
S123: generating a current transmission set CurrentSendData of the captured data packet, wherein the end time point T_et of the priority transmission period is set to be Tend-Tnor, and the start time point T_st is set to be T_et- 。
Preferably, in step S102, the data packets of each queue to be transmitted are ordered according to the generation time, the data packets not transmitted in the current transmission period are transmitted in the next transmission period, and before the number of times of transmission of the data packets transmitted in the current transmission period is not N, the corresponding queues to be transmitted are inserted from the tail of the queue in the next period.
Preferably, in step 200, the power failure fault model is a neural network model, and the power failure fault model receives the power failure fault information collected by repeated calling to determine whether the power failure is a power failure fault and outputs a power failure fault type;
The power failure fault type specifically comprises:
The failure A, the independent failure of the node, does not influence the lower root node;
And (3) a fault B, and associating the faults of the lower nodes.
Preferably, in step 200, the specific method for generating the outage node information according to the matching result in combination with the power grid topological graph includes:
S201: storing power grid topology nodes in a multi-tree structure, marking fault nodes and generating a node list to be marked;
S202: checking and detecting each fault node in turn from one side close to the tree root, if the power failure fault type of the corresponding node is fault A, performing secondary marking on the corresponding node, if the corresponding node is fault B, performing secondary marking on all descendant nodes of the lower level of the corresponding node, searching a node list to be marked, and deleting elements which are descendant nodes of the corresponding node;
s203: and after the search is completed, outputting the power failure node information of the secondary mark.
Preferably, in the step 300, the specific method for the client association module to match the associated platform area and/or the client profile based on the outage node information is as follows:
the customer association module captures the association platform region and the customer relation with the acquisition interruption attribute in the information flow of the marketing service center based on the big data real-time flow algorithm, generates a temporary comparison library, firstly eliminates the existing outage service list from the temporary comparison library, then matches the temporary comparison library with the association node in the outage node information, and matches the association node with the association platform region and the customer through the marketing service center database if the corresponding association node is not completely matched.
Preferably, in the step 300, the existing power outage sheet includes at least a planned power outage, a fault power outage, a temporary power outage, an arrearage power outage, and an existing 95598 fault repair sheet.
Preferably, in step 400, the monitoring feedback module associates with a mobile terminal of an maintainer, the maintainer receives the work order through the mobile terminal and then automatically uploads the locking information, and the monitoring feedback module locks the corresponding work order and prohibits other maintainers from taking and checking.
Compared with the prior art, the application has the beneficial effects that:
according to the application, the collected relevant fault information is actively researched and judged through the power failure fault model, and the power failure node, the relevant platform area and the clients are automatically confirmed, so that the processing speed of the power failure fault is improved, the labor intensity of maintenance personnel is reduced, the maintenance personnel can answer the relevant problems of the clients, and the satisfaction degree of the clients is improved.
The application carries out high-priority active collection on the power failure fault information through repeated calling mode, thereby avoiding the problems of missing report and delayed report of the power failure fault information caused by communication congestion and the false report of the power failure fault information caused by various reasons, and improving the performance and accuracy of active research and judgment of the power failure fault model.
The application confirms the current transmission set CurrentSendData, the corresponding priority transmission time period [ T_st, T_et ] and the corresponding priority transmission rate V through repeated calling of the measurement mode, and collects the conventional electricity information after completing the data transmission in the set CurrentSendData, thereby avoiding the data congestion in the information collection peak period, ensuring the effective transmission of the power failure fault information, avoiding the reduction of the collection efficiency in the data collection trough period and reducing the influence on the conventional electricity information collection as far as possible.
According to the application, the association area and the client relationship with the acquisition interruption attribute in the information flow of the marketing service center are captured through the big data real-time flow algorithm, a temporary comparison library is generated, the confirmation speed of the association area and the client relationship is improved, and the overall performance of power failure research and judgment is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.
Figure 1 is a schematic diagram of the system composition of the present application,
Figure 2 is a schematic flow chart of the method of the application,
Figure 3 is a schematic diagram of a repeated recall mode implementation of the present application,
Fig. 4 is a schematic diagram of power grid topology node verification according to the present application.
Detailed Description
The application will be further described with reference to the drawings and examples.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, are merely relational terms determined for convenience in describing structural relationships of the various components or elements of the present disclosure, and do not denote any one of the components or elements of the present disclosure, and are not to be construed as limiting the present disclosure.
Example 1
As shown in fig. 1 to 4, the application provides a client side power failure accurate research and judgment and active service system, which comprises a collecting main station, a power failure checking center, a client association module and a monitoring feedback module, wherein the functions of each module are as follows:
the power failure detection system comprises an acquisition main station, a power failure verification center and a power failure verification center, wherein the acquisition main station is used for acquiring power consumption information of each transmission node of a power grid, starting a repeated calling mode when power failure fault information is monitored, carrying out repeated calling acquisition with high priority on the power consumption information of the associated transmission nodes, and transmitting the acquired information to the power failure verification center;
the power outage checking center performs check matching according to the acquired information and a preset power outage fault model, generates power outage node information according to a matching result by combining a power grid topological graph, and transmits the power outage node information to the client association module;
the customer association module is used for matching and associating the areas and/or the customer files based on the power outage node information, removing the areas and/or the customer files related to the existing power outage work orders and generating power outage work orders;
And the monitoring feedback module is used for associating the mobile terminals of the maintenance personnel, distributing the power failure check list, receiving the work list result feedback and transmitting the work list result feedback to the power failure check center, and the power failure check center optimizes the power failure fault model based on the work list result feedback.
According to the application, the collected related fault information is actively researched and judged through the power failure fault model, the power failure node, the relevant area and the clients are automatically confirmed, the processing speed of the power failure fault and the satisfaction degree of the clients are improved, the power failure fault information is actively collected with high priority through repeated recall modes, the problems of missing report and delayed report of the power failure fault information caused by communication congestion and the false report of the power failure fault information caused by various reasons are avoided, and the performance and the accuracy of the active research and judgment of the power failure fault model are improved.
The transmission node comprises various levels of private transformers, a station area, a household meter, an ammeter and the like, and the power failure fault information comprises power failure related fault information of the node, auxiliary circuit breakers, protection equipment, monitoring equipment and other equipment.
Specifically, the collection main station and the power failure checking center are embedded in the electricity consumption information collection system, the client association module is embedded in the marketing service center, the monitoring feedback module is embedded in the comprehensive business digital platform of the power supply station, and the electricity consumption information comprises basic electricity consumption parameters and fault monitoring information.
Based on the accurate studying and judging and active service system of the client side power failure, the application also provides a method for accurately studying and judging the client side power failure and active service, which comprises the following specific steps:
Step 100: the power failure detection method comprises the steps that a main acquisition station acquires power consumption information of each transmission node of a power grid, when power failure fault information is monitored, a repeated detection mode is started, high-priority repeated detection acquisition is carried out on the power consumption information of the associated transmission nodes, and the acquired information is transmitted to a power failure check center;
Step 200: the power outage checking center performs check matching with a preset power outage fault model according to the acquired information, generates power outage node information according to a matching result by combining a power grid topological graph, and transmits the power outage node information to the client association module;
Step 300: the customer association module is used for matching the associated area and/or the customer file based on the power failure node information, removing the area and/or the customer file related to the existing power failure work order and generating a power failure work order;
Step 400: and the monitoring feedback module is associated with the mobile terminal of the maintainer, receives the work order result feedback and transmits the work order result feedback to the power failure checking center, and the power failure checking center optimizes the power failure fault model based on the work order result feedback.
Specifically, in step 100, the collecting main station starts a repeated calling mode, and the specific method for carrying out repeated calling collection with high priority on the power consumption information of the associated transmission node includes:
S101: the acquisition master station comprises an accounting generation module and a retrieval transmission module, wherein the accounting generation module is used for opening A queues to be transmitted according to the number of the associated nodes, each queue corresponds to one power grid transmission node, each transmission node corresponds to one reporting delay Td_i, the accounting generation module is used for acquiring power failure fault information in real time to generate a calling data packet of the corresponding transmission node and filling the calling data packet into each transmission queue, I is the number of the queues to be transmitted, and the value is 1,2 and I;
S102: the searching and transmitting module searches and acquires the data packet of each queue to be transmitted, generates a current transmission set CurrentSendData, generates corresponding priority transmission time periods [ T_st, T_et ] based on a preset priority transmission rate V, and ends the repeated calling mode when each queue to be transmitted is searched to be empty;
S103, the searching and transmitting module freely transmits the data in the set CurrentSendData from the current moment of the current acquisition period to the T_st time period, and the data which are not transmitted in the set CurrentSendData are transmitted by adopting the priority transmission rate V after the T_st time period;
s104: the retrieval transmission module acquires conventional electricity information after completing data transmission in the set CurrentSendData until the current acquisition period is finished, and jumps to step S102;
Preferably, the collecting main station repeatedly calls the information related node of each power failure in N continuous collecting periods, and only collects the information related node of each power failure once in each collecting period.
In the step S102, the generating method of the priority transmission period [ t_st, t_et ] is as follows:
S121: confirming the generation time Ta_ij, the data packet size M_ij, the time Td_i between the queue reporting time and the current time Tc of corresponding data packets of each transmission queue, calculating the pre-transmission time Ttr_ij, ttr_ij=M_ij/V based on the priority transmission rate V, wherein j is the number of the data packet in the queue to be transmitted, the value is 1, 2 and I, and the basic transmission time of each data packet is Tto_ij=Td_i+Ttr_ij;
s122: the data packets of each transmission queue are integrated and ordered according to the front and back of the generation time, the data packets are grabbed according to the following formula,
，
Wherein Tend is the end time point of the current acquisition period, tnor is the reserved basic time interval for the conventional electricity consumption information acquisition, and Tre is the preset free transmission redundancy time of the data packet operation;
S123: generating a current transmission set CurrentSendData of the captured data packet, wherein the end time point T_et of the priority transmission period is set to be Tend-Tnor, and the start time point T_st is set to be T_et- 。
In the embodiment shown in fig. 3, assuming that there are two associated nodes, the accounting generation module of the acquisition master station generates two queues Q1 and Q2 to be transmitted, the reporting delay is td_1 and td_2 respectively, when the searching transmission module searches and obtains the data packets of each queue to be transmitted, two data packets exist in the queue Q1, three data packets exist in the queue Q2, based on step S121, the pre-transmission time ttr_11, ttr_12, ttr_21, ttr_22 and ttr_23 of each data packet are calculated according to the priority transmission rate V and the size of each data packet, ttr_11 is obtained through ttr_11+td_1, and the basic transmission time consumed by the rest data packets tto_12, tto_21, tto_22 and tto_23 is calculated as the actual transmission time consumed by the same calculation; based on the step S122, the data packets are integrated, and assuming that (tto_11+tto_12+tto_21+tto_22+tto_23) is smaller than Tend-Tnor-Tre-Tc, all the data packets in the queues Q1 and Q2 can be grabbed to the current transmission set CurrentSendData and transmitted according to the generation time sequence of the data packets, as shown in the top horizontal axis in fig. 3, the end time t_et of the priority transmission period is set to Tend-Tnor, the start time t_st is set to t_et- (tto_11+tto_12+tto_21+tto_22+tto_23), and according to the steps S102 and S103, the search transmission module freely transmits the data in the set CurrentSendData from the current time of the current acquisition period to the time t_st, and after the time t_st, uses the priority transmission rate V to transmit the data which is not transmitted in the set CurrentSendData, and the search transmission module performs the conventional power consumption information after completing the data transmission in the set CurrentSendData until the new acquisition period is completed and a new set CurrentSendData is generated after the current acquisition period is completed.
Specifically, in step S102, the data packets of each queue to be transmitted are ordered according to the generation time, the data packets not transmitted in the current transmission period are transmitted in the next transmission period, and before the number of times of transmission of the data packets transmitted in the current transmission period is not N, the corresponding queues to be transmitted are inserted from the tail of the queue in the next period.
The application confirms the current transmission set CurrentSendData, the corresponding priority transmission time period [ T_st, T_et ] and the corresponding priority transmission rate V through repeated calling of the measurement mode, and collects the conventional electricity information after completing the data transmission in the set CurrentSendData, thereby avoiding the data congestion in the information collection peak period, ensuring the effective transmission of the power failure fault information, avoiding the reduction of the collection efficiency in the data collection trough period and reducing the influence on the conventional electricity information collection as far as possible.
Specifically, in step 200, the power failure fault model is a neural network model, and the power failure fault model receives power failure fault information collected by repeated recall to determine whether the power failure is a power failure fault and output a power failure fault type, and the power failure fault type specifically includes:
The failure A, the independent failure of the node, does not influence the lower root node;
And (3) a fault B, and associating the faults of the lower nodes.
In step 200, the specific method for generating the power outage node information according to the matching result and combining the power grid topological graph is as follows:
S201: storing power grid topology nodes in a multi-tree structure, marking fault nodes and generating a node list to be marked;
S202: checking and detecting each fault node in turn from one side close to the tree root, if the power failure fault type of the corresponding node is fault A, performing secondary marking on the corresponding node, if the corresponding node is fault B, performing secondary marking on all descendant nodes of the lower level of the corresponding node, searching a node list to be marked, and deleting elements which are descendant nodes of the corresponding node;
s203: and after the search is completed, outputting the power failure node information of the secondary mark.
As shown in fig. 4, if it is determined that the power failure has occurred in the nodes P3 and P5 according to the power failure fault model, but there is an automatic switching backup line between the node P3 and the lower node P6, but there is no backup line between the node P5 and the lower node, it is determined that the node P3 is the fault a, the node P5 is the fault B, and according to steps S201 and S202, the node P3 is marked twice, and then the node P5 and its child node P7 are marked twice, and the output power failure contact information includes P3, P5, and P7.
Preferably, in the step 300, the specific method for the client association module to match the associated platform area and/or the client profile based on the outage node information is as follows:
the customer association module captures the association platform region and the customer relation with the acquisition interruption attribute in the information flow of the marketing service center based on the big data real-time flow algorithm, generates a temporary comparison library, firstly eliminates the existing outage service list from the temporary comparison library, then matches the temporary comparison library with the association node in the outage node information, and matches the association node with the association platform region and the customer through the marketing service center database if the corresponding association node is not completely matched.
The big data real-time stream means that data continuously enter the system in a stream form in the data processing process, and the system needs to process the data in real time, and the advantages of the big data real-time stream include high real-time performance, scalability, high performance, high accuracy, instant response and the like, the main stream architecture of the big data real-time stream comprises Lambda architecture, kappa architecture, data lake architecture and the like, the application does not relate to the improvement of the big data real-time stream algorithm, and the application is not repeated here; according to the application, the association area and the client relationship with the acquisition interruption attribute in the information flow of the marketing service center are captured through the big data real-time flow algorithm, a temporary comparison library is generated, the confirmation speed of the association area and the client relationship is improved, and the overall performance of power failure research and judgment is further improved.
Specifically, in the step 300, the existing power outage sheet at least includes a planned power outage, a fault power outage, a temporary power outage, an arrearage power outage, and an existing 95598 fault repair sheet.
Preferably, in step 400, the monitoring feedback module associates with a mobile terminal of an maintainer, the maintainer receives a work order through the mobile terminal and then automatically uploads locking information, and the monitoring feedback module locks the corresponding work order, prohibits other maintainers from taking and checking, prevents a plurality of maintainers from contacting clients, and reduces user experience.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
While the foregoing description of the embodiments of the present application has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the application, but rather, it is intended to cover all modifications or variations within the scope of the application as defined by the claims of the present application.
Claims (10)
1. The accurate study and judgment and active service method for the power failure of the client side is characterized by comprising the following specific steps based on a power failure active service system consisting of an acquisition master station, a power failure checking center, a client association module and a monitoring feedback module:
Step 100: the power failure detection method comprises the steps that a main acquisition station acquires power consumption information of each transmission node of a power grid, when power failure fault information is monitored, a repeated detection mode is started, high-priority repeated detection acquisition is carried out on the power consumption information of the associated transmission nodes, and the acquired information is transmitted to a power failure check center;
Step 200: the power outage checking center performs check matching with a preset power outage fault model according to the acquired information, generates power outage node information according to a matching result by combining a power grid topological graph, and transmits the power outage node information to the client association module;
Step 300: the customer association module is used for matching the associated area and/or the customer file based on the power failure node information, removing the area and/or the customer file related to the existing power failure work order and generating a power failure work order;
Step 400: and the monitoring feedback module is associated with the mobile terminal of the maintainer, receives the work order result feedback and transmits the work order result feedback to the power failure checking center, and the power failure checking center optimizes the power failure fault model based on the work order result feedback.
2. The method for precisely studying and judging power outage and active service on the client side according to claim 1, wherein the method comprises the following steps:
The system comprises a power consumption information acquisition system, a customer association module, a monitoring feedback module, a power supply station comprehensive business digital platform, a power failure check center, a power supply station comprehensive business digital platform and a power supply station comprehensive business digital platform, wherein the power consumption information acquisition system is embedded with the power consumption information acquisition system;
The electricity consumption information comprises basic electricity consumption parameters and fault monitoring information.
3. The method for precisely studying and judging power outage and active service on the client side according to claim 1, wherein the method comprises the following steps:
In the step 100, the collecting main station starts a repeated calling mode, and the specific method for carrying out repeated calling collection with high priority on the power consumption information of the associated transmission node comprises the following steps:
S101: the acquisition master station comprises an accounting generation module and a retrieval transmission module, wherein the accounting generation module is used for opening A queues to be transmitted according to the number of the associated nodes, each queue corresponds to one power grid transmission node, each transmission node corresponds to one reporting delay Td_i, the accounting generation module is used for acquiring power failure fault information in real time to generate a calling data packet of the corresponding transmission node and filling the calling data packet into each transmission queue, I is the number of the queues to be transmitted, and the value is 1,2 and I;
S102: the searching and transmitting module searches and acquires the data packet of each queue to be transmitted, generates a current transmission set CurrentSendData, generates corresponding priority transmission time periods [ T_st, T_et ] based on a preset priority transmission rate V, and ends the repeated calling mode when each queue to be transmitted is searched to be empty;
S103, the searching and transmitting module freely transmits the data in the set CurrentSendData from the current moment of the current acquisition period to the T_st time period, and the data which are not transmitted in the set CurrentSendData are transmitted by adopting the priority transmission rate V after the T_st time period;
s104: the retrieval transmission module acquires conventional electricity information after completing data transmission in the set CurrentSendData until the current acquisition period is finished, and jumps to step S102;
The collection master station repeatedly calls the collection nodes in N continuous collection periods aiming at the fault information related nodes in each power failure, and only collects the fault information related nodes in each power failure once in each collection period.
4. The method for precisely studying and judging power outage and active service on the client side according to claim 3, wherein the method comprises the following steps:
In the step S102, the generating method of the priority transmission period [ t_st, t_et ] is as follows:
S121: confirming the generation time Ta_ij, the data packet size M_ij, the queue reporting delay Td_i and the current time Tc of corresponding data packets of each transmission queue, calculating the pre-transmission time Ttr_ij, ttr_ij=M_ij/V based on the priority transmission rate V, wherein j is the number of the data packet in the queue to be transmitted, the value is 1,2, I, and the basic transmission time of each data packet is Tto_ij=Td_i+Ttr_ij;
s122: the data packets of each transmission queue are integrated and ordered according to the front and back of the generation time, the data packets are grabbed according to the following formula,
，
Wherein Tend is the end time point of the current acquisition period, tnor is the reserved basic time interval for the conventional electricity consumption information acquisition, and Tre is the preset free transmission redundancy time of the data packet operation;
S123: generating a current transmission set CurrentSendData of the captured data packet, wherein the end time point T_et of the priority transmission period is set to be Tend-Tnor, and the start time point T_st is set to be T_et- 。
5. The method for precisely studying and judging power outage and active service on the client side according to claim 4, wherein the method comprises the following steps:
In step S102, the data packets of each queue to be transmitted are ordered according to the generation time, the data packets not transmitted in the current transmission period are transmitted in the next transmission period, and the corresponding queues to be transmitted are inserted from the tail of the queue in the next period before the number of times of transmission of the data packets transmitted in the current transmission period is not N.
6. A method for accurate determination and active service of a customer side outage according to any one of claims 1 or 3, wherein:
In step 200, the power failure fault model is a neural network model, and the power failure fault model receives the power failure fault information collected by repeated calling to determine whether the power failure is a power failure and outputs a power failure type;
The power failure fault type specifically comprises:
The failure A, the independent failure of the node, does not influence the lower root node;
And (3) a fault B, and associating the faults of the lower nodes.
7. The method for precisely studying and judging power outage and active service on the client side according to claim 6, wherein the method comprises the following steps:
in step 200, the specific method for generating the power outage node information according to the matching result and combining the power grid topological graph is as follows:
S201: storing power grid topology nodes in a multi-tree structure, marking fault nodes and generating a node list to be marked;
S202: checking and detecting each fault node in turn from one side close to the tree root, if the power failure fault type of the corresponding node is fault A, performing secondary marking on the corresponding node, if the corresponding node is fault B, performing secondary marking on all descendant nodes of the lower level of the corresponding node, searching a node list to be marked, and deleting elements which are descendant nodes of the corresponding node;
s203: and after the search is completed, outputting the power failure node information of the secondary mark.
8. The method for precisely studying and judging power outage and active service on the client side according to claim 2, wherein the method comprises the following steps:
in the step 300, the specific method of the client association module matching the associated platform area and/or the client file based on the power failure node information is as follows:
the customer association module captures the association platform region and the customer relation with the acquisition interruption attribute in the information flow of the marketing service center based on the big data real-time flow algorithm, generates a temporary comparison library, firstly eliminates the existing outage service list from the temporary comparison library, then matches the temporary comparison library with the association node in the outage node information, and matches the association node with the association platform region and the customer through the marketing service center database if the corresponding association node is not completely matched.
9. The method for precisely studying and judging power outage and active service on the client side according to claim 8, wherein the method comprises the following steps:
in the step 300, the existing power outage sheet at least includes a planned power outage, a fault power outage, a temporary power outage, an arrearage power outage, and an existing 95598 fault repair sheet.
10. The method for precisely studying and judging power outage and active service on the client side according to claim 1, wherein the method comprises the following steps:
in step 400, the monitoring feedback module is associated with a mobile terminal of an maintainer, the maintainer receives the work order through the mobile terminal and then automatically uploads locking information, and the monitoring feedback module locks the corresponding work order and prohibits other maintainers from taking and checking.
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