Power production data interaction method and system based on networked asynchronous interaction

Abstract

The present disclosure relates to a power production data interaction method and system based on networked asynchronous interaction, and relates to the technical field of power production interaction. The power production data interaction method comprises: acquiring multi-source abnormal data, fault data and on-site reported defect data and respectively processing to obtain abnormal events, fault events and defect events; based on a production business handling model and the running state of the equipment corresponding to the re-acquired abnormal events, fault events and defect events, generating business work orders for the abnormal events, fault events and defect events; and issuing the generated business work orders to the corresponding units to realize power production data interaction. The present disclosure can realize intelligent research and judgment according to the equipment state, and achieve a system dispatch mode based on data decision.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of power production data interaction, in particular to a power production data interaction method and system based on networked asynchronous interaction. BACKGROUND

[0002] In recent years, power supply companies have been targeting good quality service, optimizing the electricity business environment, and solving customer electricity problems. Abnormalities, failures or defects that occur when users use electricity need to be addressed, and various types of work orders are generally generated and then disposed of. However, manual business work orders have problems such as non-standard work order operation, inaccurate fault judgment, work order filling errors, and incomplete and unrealistic treatment result feedback.

[0003] In the prior art, electronic work orders are also used to solve the above problems, but there are still different unit work order processing rules that are difficult to manage uniformly, and the generated work orders cannot solve all abnormalities, failures or defects, the problem is not comprehensive, and the customer experience is poor. SUMMARY

[0004] The present disclosure proposes a power production data interaction method and system based on networked asynchronous interaction. To solve the problem of different unit work order processing rules that are difficult to manage uniformly in the background technology mentioned above, the generated work orders cannot solve all abnormalities, failures or defects, the problem is not comprehensive, and the customer experience is poor. The problem occurs from time to time, and the system dispatch mode based on data decision is realized according to the intelligent research and judgment of the equipment state.

[0005] According to an aspect of the present disclosure, a power production data interaction method based on networked asynchronous interaction is provided, comprising the following steps:

[0006] Obtain multi-source abnormal data, failure data and on-site reported defect data and process to obtain abnormal events, failure events and defect events respectively;

[0007] Based on the production business disposal model and the running state of the equipment corresponding to the abnormal events, failure events and defect events reacquired, generate business work orders for the abnormal events, failure events and defect events; the production business disposal model acquires production data of corresponding units of each link of power production through network asynchronous, and forms a knowledge base according to the production data, decomposes the tasks of the abnormal events, failure events and defect events, calls the production data in the knowledge base and generates business work orders according to the decomposed tasks and the corresponding units that meet the conditions;

[0008] The generated business work order is sent to the corresponding unit to realize the interaction of power production data, the corresponding unit including one or more of the following: command center, regulation center, substation operation and maintenance department, substation maintenance department, transmission operation and maintenance department, or transmission maintenance department.

[0009] Preferably, multi-source abnormal data, fault data and on-site reported defect data are obtained and processed to obtain abnormal events, fault events and defect events, respectively, including the following steps:

[0010] The multi-source abnormal data, fault data and on-site reported defect data are compared with the range corresponding to the preset event level, and if they fall within the range corresponding to the corresponding event level, the abnormal data, fault data and on-site reported defect data are converted into abnormal events, fault events and defect events of the corresponding level, the abnormal events, fault events or defect events including one or more of the following: substation operation and maintenance, substation maintenance, cable maintenance, line maintenance or regulation maintenance;

[0011] Or,

[0012] The multi-source abnormal data, fault data and on-site reported defect data are screened and classified, the screening refers to falling within the preset range of abnormality, fault and defect, and the abnormality, fault and defect are classified according to the equipment type and position to obtain different types of abnormal events, fault events and defect events, the abnormal event, fault event or defect event classification including one or more of the following: substation operation and maintenance, substation maintenance, cable maintenance, line maintenance or regulation maintenance;

[0013] Preferably, based on the production business handling model and the running state of the equipment corresponding to the abnormal event, fault event and defect event reacquired, a business work order for the abnormal event, fault event and defect event is generated, including:

[0014] Obtain a plurality of production business handling models;

[0015] Based on the abnormal event, fault event and defect event, the running state of the equipment corresponding to the abnormal event, fault event and defect event is asynchronously obtained through the network;

[0016] The plurality of abnormal events, fault events and defect events are respectively decomposed into multi-level tasks according to the power operation nodes involved in the running state of the corresponding equipment by using the plurality of production business handling models;

[0017] According to the multi-level task, the production data in the knowledge base is called to filter the corresponding unit that meets the condition to generate a business work order.

[0018] Preferably, the plurality of abnormal events, fault events and defect events are decomposed into a plurality of levels of tasks according to power operation nodes involved in the operation state of the corresponding equipment by using a plurality of production business handling models respectively, including the following steps:

[0019] Each of the plurality of abnormal events, fault events and defect events is synchronously decomposed by using the production business handling model to obtain a plurality of task nodes of each event;

[0020] Task nodes involving the same equipment or power operation node in the plurality of task nodes of each event are merged to obtain a same level of task;

[0021] The same level of task is combined with task nodes of other levels to obtain a plurality of levels of tasks.

[0022] Preferably, after the generated business order is issued to the corresponding unit, the following steps are further included:

[0023] After the time limit defined in the business order, the order handling situation is asynchronously acquired, and after all order handling situations are collected, a comprehensive evaluation is performed;

[0024] Or,

[0025] After the time limit defined in the business order, the state of the power operation node corresponding to the plurality of levels of tasks corresponding to the business order is asynchronously acquired and fed back to the corresponding unit, and the order handling situation of all business orders is acquired in combination with the state of the power operation node to perform a comprehensive evaluation.

[0026] Preferably, after the comprehensive evaluation of the order handling situation is performed, the following steps are further included:

[0027] The comprehensive evaluation information and the order handling situation are pushed to the mobile operation terminal of the corresponding unit through the intelligent operation and inspection management platform.

[0028] Preferably, after the generated business order is issued to the corresponding unit to realize the interaction of power production data, the following steps are further included:

[0029] The business order characteristics are issued to the corresponding unit;

[0030] According to the handling process of the corresponding unit, different order handling process implementation process nodes are interacted with the corresponding unit; the process node interaction includes the following:

[0031] Fault original collection, production information initial report, fault information report, detailed report and tracking control; and / or,

[0032] Report handling, state application, permission work, acceptance confirmation, switching operation to form a handling opinion; and / or,

[0033] determining power safety measures, substation repair; and / or,

[0034] application status, license work, power transmission repair; and / or,

[0035] status adjustment, mode recovery and acceptance confirmation.

[0036] According to another aspect of the present disclosure, a power production data interaction system based on networked asynchronous interaction is provided, comprising:

[0037] An event acquisition module acquires multi-source abnormal data, fault data and defect data filled on site and processes the abnormal events, fault events and defect events respectively;

[0038] A work order generation module generates business work orders for the abnormal events, fault events and defect events based on a production business handling model and the running states of the corresponding equipment of the abnormal events, fault events and defect events reacquired; the production business handling model acquires production data of corresponding units of each link of power production through network asynchronous, forms a knowledge base according to the production data, decomposes the abnormal events, fault events and defect events into tasks, calls the production data in the knowledge base and generates business work orders of the corresponding units meeting the conditions according to the decomposed tasks;

[0039] A work order issuing module issues the generated business work orders to the corresponding units to realize power production data interaction, the corresponding units including one or more of the following: command center, control center, substation operation and maintenance department, substation repair department, power transmission operation and maintenance department or power transmission repair department.

[0040] According to an aspect of the present disclosure, a power production data interaction system based on networked asynchronous interaction is provided, comprising: a processor;

[0041] a memory for storing processor executable instructions;

[0042] The processor is configured to call the instructions stored in the memory to execute the above-mentioned power production data interaction method based on networked asynchronous interaction.

[0043] According to an aspect of the present disclosure, a power production data interaction system based on networked asynchronous interaction is provided, comprising: a computer readable storage medium having computer program instructions stored thereon, the computer program instructions being executed by a processor to implement the above-mentioned power production data interaction method based on networked asynchronous interaction.

[0044] In the embodiments of the present disclosure, a system dispatch mode based on data decision can be implemented. The business work order runs through the whole process of power transmission and transformation maintenance, patrol, operation and maintenance, defect elimination, defect elimination, test, countermeasures, special investigation and other production and business, realizes the real-time, quality and efficiency of integrated operation interaction of superior and subordinate dispatch, main and distribution network, monitoring and plant station operation and maintenance, so that a large number of work needing cooperation of multiple parties can be efficiently connected in a tacit and orderly manner, greatly improving the work efficiency and operation safety level; promote the "work order driven business" control mode, dig the value of work order, improve the efficiency of work order dispatch, improve the professional management ability, and improve the technical level and work quality of personnel.

[0045] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, but not limiting the present disclosure.

[0046] Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0047] The drawings incorporated into the specification and forming a part thereof, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure.

[0048] Figure 1 A flowchart of a power production data interaction method based on networked asynchronous interaction according to an embodiment of the present disclosure is shown;

[0049] Figure 2 A flowchart of a business work order generation step according to an embodiment of the present disclosure is shown;

[0050] Figure 3 A flowchart of a fault handling process involved in a business work order according to an embodiment of the present disclosure is shown;

[0051] Figure 4 A flowchart of an abnormality handling process involved in a business work order according to an embodiment of the present disclosure is shown;

[0052] Figure 5 A flowchart of a defect reporting handling process involved in a business work order according to an embodiment of the present disclosure is shown;

[0053] Figure 6 A comprehensive evaluation effect diagram according to an embodiment of the present disclosure is shown;

[0054] Figure 7 A block diagram of a power production data interaction system based on networked asynchronous interaction according to an embodiment of the present disclosure is shown;

[0055] Figure 8 is a block diagram of an electronic device 800 according to an exemplary embodiment;

[0056] Figure 9 is a block diagram of an electronic device 1900 according to an exemplary embodiment. DETAILED DESCRIPTION

[0057] Various exemplary embodiments, features, and aspects of the present disclosure will be described below in detail with reference to the accompanying drawings. The same reference numbers in different drawings denote the same or similar elements. Although various aspects of embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless specifically noted.

[0058] The term "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0059] The term "and / or" used herein is merely used to describe association relationship of associated objects, and means that three relationships can exist, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the term "at least one" herein means any one of multiple or any combination of at least two of multiple, for example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0060] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following detailed description. Those skilled in the art should understand that the present disclosure can also be implemented without some specific details. In some examples, methods, means, elements and circuits that are well known to those skilled in the art are not described in detail in order to highlight the main idea of the present disclosure.

[0061] It can be understood that the above-mentioned various method embodiments of the present disclosure can be combined with each other to form combined embodiments without violating the principle logic. Due to the limited space, the present disclosure will not be described again.

[0062] In addition, the present disclosure also provides a power production data interaction device based on networked asynchronous interaction, an electronic device, a computer readable storage medium, and a program, which can be used to implement any power production data interaction method based on networked asynchronous interaction provided by the present disclosure. The corresponding technical solutions and descriptions are described in the method part and are not described again.

[0063] Figure 1 A flowchart of a power production data interaction method based on networked asynchronous interaction according to an embodiment of the present disclosure is shown. As shown in FIG. 1, the method includes the following steps. Figure 1As shown, the power production data interaction method based on networked asynchronous interaction comprises the following steps: S10, acquiring multi-source abnormal data, fault data and defect data filled in the field and processing the abnormal events, fault events and defect events respectively; S20, generating a business order for the abnormal events, fault events and defect events based on a production business handling model and the running state of the equipment corresponding to the abnormal events, fault events and defect events re-acquired; the production business handling model acquires production data of corresponding units at each link of power production through network asynchronous, forms a knowledge base according to the production data, decomposes the abnormal events, fault events and defect events, calls the production data in the knowledge base and generates a business order according to the decomposed task; S30, the generated business order is sent to the corresponding unit to realize power production data interaction, the corresponding unit includes one or more of the following: command center, control center, county (district) company, substation operation and maintenance department, substation maintenance department, power transmission operation and maintenance department or power transmission maintenance department, etc. The health level of the power equipment can be automatically graded, the system dispatching mode based on data decision can be realized, the business order runs through the whole process of power transmission and transformation maintenance, inspection, operation and maintenance, defect elimination, defect elimination, test, countermeasures, special investigation and other production and other businesses, realizes the real-time, quality and efficiency of integrated operation and interaction of upper and lower dispatching, main and distribution network, monitoring and plant station operation and maintenance, so that a large number of work needing cooperation of multiple parties can be efficiently connected in a tacit and orderly manner, greatly improving the work efficiency and operation safety level.

[0064] S10, acquiring multi-source abnormal data, fault data and defect data filled in the field and processing the abnormal events, fault events and defect events respectively.

[0065] In the embodiments and other possible embodiments of the present disclosure, the multi-source abnormal data, fault data and defect data filled in the field include but are not limited to: DC system grounding fault / abnormal / defect, capacitor fault / abnormal / defect, mutual inductor fault / abnormal / defect, bus fault / abnormal / defect or lightning arrester fault / abnormal / defect, etc. Wherein, the fault refers to a condition where there is a problem, the abnormality refers to a problem that occurs but it is not determined what kind of fault, and the defect refers to a condition where there is a problem caused by lack of some devices or equipment or design problem. The above conditions are common conditions for personnel in the field to carry out power maintenance, and under the condition of power big data, the above conditions will usually occur, but may occur alone. The present disclosure will not be described in detail.

[0066] In the embodiments and other possible embodiments of the present disclosure, the multi-source may include data sources collected by multiple different devices or regions or positions, wherein the devices include but are not limited to one or more of the following: transformer, bus, capacitor, mutual inductor, circuit breaker, knife switch and other power mechanisms.

[0067] Preferably, the multi-source abnormal data, fault data and defect data filled in the field are acquired and processed to obtain abnormal events, fault events and defect events, respectively, including the following steps:

[0068] The multi-source abnormal data, fault data and defect data filled in the field are compared with the range corresponding to the preset event level, and if it falls into the range corresponding to the corresponding event level, the abnormal data, fault data and defect data filled in the field are converted into abnormal events, fault events and defect events of the corresponding level, which include one or more of the following: substation operation and maintenance, substation maintenance, cable maintenance, line maintenance or control maintenance; for example, when the corresponding event is transformer failure, the preset range corresponding to the corresponding event level includes, but is not limited to, the following cases: the oil temperature of the transformer is too high, exceeding 105℃, the transformer core grounding current is greater than 0.1A, the voltage value exceeds 2-4.5 times of the rated voltage, etc. The case is the highest level of event level, and the level close to the normal use range is the medium risk event level.

[0069] Preferably, the multi-source abnormal data, fault data and defect data filled in the field are screened and classified, the screening refers to falling into the abnormal, fault and defect preset range, and the abnormal, fault and defect are classified according to the equipment type and position to obtain different types of abnormal events, fault events and defect events, and the abnormal event, fault event or defect event classification includes one or more of the following: substation operation and maintenance, substation maintenance, cable maintenance, line maintenance or control maintenance. For example, the reported data is screened and classified, and the abnormal events, fault events and defect events of the same category or the same maintenance position are allocated to the same department for unified processing to reasonably provide disposal services, improve service quality and save maintenance resources.

[0070] Step S20: Based on the production business disposal model and the running state of the equipment corresponding to the abnormal events, fault events and defect events reacquired, a business work order for the abnormal events, fault events and defect events is generated; the production business disposal model acquires the production data of the corresponding units of each link of power production through network asynchronous, forms a knowledge base according to the production data, decomposes the tasks of the abnormal events, fault events and defect events, calls the production data in the knowledge base and generates a business work order according to the decomposed tasks.

[0071] In the embodiments and other possible embodiments of the present disclosure, the production business handling model can be trained by collecting domain knowledge collected by various units such as a command center, a control center, a county (district) company, a substation operation and maintenance department, a substation repair department, a transmission operation and maintenance department, or a transmission repair department, etc. The domain knowledge includes, but is not limited to, common terms of power systems, technical manuals of power equipment, technical manuals of power operation, technical manuals of power failure, relevant national standards (local standards) of power systems such as power transmission and transformation systems, and terms of processing procedures of various units (including, but not limited to, command centers, control centers, county (district) companies, substation operation and maintenance departments, substation repair departments, transmission operation and maintenance departments, or transmission repair departments), etc. The above domain knowledge is labeled, and then pre-trained by using pre-trained models such as Bert, Albert, Robeta, etc. The open source pre-trained model code needs to be directly used to replace the labeled data for pre-training. For example, pre-training by using Bert can include the following steps: randomly masking 20% of the above labeled text, then masking 70% of the above 20% text, randomly replacing 15% of the words in the text, and finally keeping 15% unchanged. MASK another 10% of the words in the word table are randomly replaced, and the last 10% remains unchanged. Convert the text to id, and add special marks [CLS], [SEP], [UNK], [PAD], etc. Traverse each sentence, then use random.random() to randomly generate a number, judge the size of the number and the MASK ratio to perform MASK, if a word in a word is masked, the whole word is also masked; then perform the SOP task, wherein, NOP: next sentence prediction, positive sample = 2 adjacent sentences, negative sample = 2 random sentences; SOP: sentence order prediction, positive sample = 2 adjacent sentences in normal order, negative sample = 2 adjacent sentences in reversed order; finally complete the training and building of the whole production business handling model.

[0072] The knowledge base is a domain knowledge base, which is an intelligent semantic database labeled and trained to realize data interaction with the production business handling model. The domain knowledge base can retrieve and match the content in the domain knowledge base according to the input data of the production business handling model. The domain knowledge base also contains production data of corresponding units at each link of power production.

[0073] Preferably, based on the production business handling model and the reacquired running state of the equipment corresponding to the abnormal event, the fault event and the defect event, a business work order for the abnormal event, the fault event and the defect event is generated, such as Figure 2 As shown, it includes:

[0074] S201, acquire a plurality of production business handling models; using a plurality of production business handling models can enable timely and independent processing when processing events from multiple sources, and the tasks in S203 below are divided into different multi-level tasks.

[0075] S202, based on the abnormal event, fault event and defect event, asynchronously acquire the running state of the corresponding equipment of the abnormal event, fault event and defect event through the network; for example, after acquiring the abnormal event, fault event and defect event, the equipment situation acquired through the defect reporting system, fault collection system or abnormal early warning system inside the power grid is acquired, and then the running state of the corresponding equipment is collected to verify and evaluate the current fault, abnormality or defect situation.

[0076] S203, respectively using a plurality of production business handling models, dividing a plurality of abnormal events, fault events and defect events into multi-level tasks according to the power operation nodes involved in the running state of the corresponding equipment; for example, after verifying the fault, abnormality or defect of the device state such as the running state of the transformer, the power operation nodes involved in the reported event are divided into multi-level tasks according to the handling process of different units (or departments), and the multi-level tasks have different performances according to the process characteristics of different units, for example, the multi-level tasks at the monitoring commander include: fault original collection, production information initial report, fault information report, detailed report and tracking control; the multi-level tasks at the operation and maintenance inspection include: report disposal, state application, permission work, acceptance confirmation, switching operation to form disposal opinion; the multi-level tasks at the substation repair include: determining power safety measures, substation repair; the multi-level tasks at the cable patrol or line patrol include: application state, permission work, power transmission repair; the multi-level tasks at the control center include: state adjustment, mode recovery and acceptance confirmation.

[0077] Preferably, respectively using a plurality of production business handling models, dividing a plurality of abnormal events, fault events and defect events into multi-level tasks according to the power operation nodes involved in the running state of the corresponding equipment includes the following steps:

[0078] S204, synchronously dividing each of the plurality of abnormal events, fault events and defect events using the production business handling model to obtain a plurality of task nodes of each event;

[0079] S205, merging the task nodes in the plurality of task nodes of each event that involve the same equipment or power operation node to obtain a same level task;

[0080] S206, combining the same level task with the task nodes of other levels to obtain multi-level tasks. The above preferred embodiment can make the same type or position of fault, abnormality or defect be merged and then reflected to the business work order, thereby realizing the saving of manpower.

[0081] S204, according to the multi-level task call the production data screening in the knowledge base to meet the corresponding unit to generate business work order conditions.

[0082] Step S30: the generated business work order is issued to the corresponding unit to realize the power production data interaction, the corresponding unit includes one or more of the following: command center, control center, county (district) company, substation operation and maintenance department, substation repair department, power transmission operation and maintenance department or power transmission repair department, etc.

[0083] As shown in the flow chart of the fault handling process involved in the business work order, after the task of the business work order is published, the participating departments that can be selected are selected according to the content of the business work order, and the participating departments handle the business work order. Figure 3 As shown in the flow chart of the abnormal handling process involved in the business work order, similarly, after the task of the business work order is published, the participating departments that can be selected are selected according to the content of the business work order, and the participating departments handle the business work order.

[0084] Figure 4 As shown in the flow chart of the abnormal handling process involved in the business work order, similarly, after the task of the business work order is published, the participating departments that can be selected are selected according to the content of the business work order, and the participating departments handle the business work order.

[0085] As shown in the flow chart of the abnormal handling process involved in the business work order, similarly, after the task of the business work order is published, the participating departments that can be selected are selected according to the content of the business work order, and the participating departments handle the business work order. Figure 5 In this embodiment, after the generated business work order is issued to the corresponding unit, the following steps are further included:

[0086] S40, after the time limit defined in the business work order, the work order handling situation is asynchronously acquired, and after all work order handling situations are collected, a comprehensive evaluation is performed;

[0087] Preferably, after the time limit defined in the business work order, the state of the power operation node corresponding to the multi-level task corresponding to the business work order is asynchronously acquired and fed back to the corresponding unit, and the work order handling situation of all business work orders is acquired. The state of the power operation node is comprehensively evaluated. For example, as shown in

[0088] Figure 6 ​​As shown, the comprehensive evaluation is a schematic diagram, and the disposal condition evaluation result in the power grid failure is exemplarily given. The task evaluation of the substation operation and maintenance, the substation maintenance, the power transmission maintenance and the cable maintenance is included. The evaluation items include the processing failure, the patrol completion degree, the fault description clarity, the fault processing result, the total score and the evaluation remarks, etc. Through real-time acquisition of the work order state, the "business work order, work order value, value performance" closed-loop management system is improved, and the business work order is used in the power transmission and transformation maintenance, patrol, operation and maintenance, defect elimination, elimination, test, countermeasures, special investigation and other production and other business processes. Based on the existing work order evaluation index system, the work order efficiency is automatically evaluated, sampled, and comprehensively evaluated, and the work order driven business management and control is realized, and the lean management level and the high-quality service ability of the distribution network are continuously improved. At the same time, a set of field operation personnel evaluation management standard is established to assist in standardizing the operation team personnel management and improving the technical level and work efficiency of the personnel.

[0089] Preferably, after the comprehensive evaluation of the work order disposal condition, the following steps are further included;

[0090] S50, the comprehensive evaluation information and the work order disposal condition are pushed to the mobile operation terminal of the corresponding unit through the intelligent operation and maintenance management and control platform.

[0091] Preferably, the generated business work order is issued to the corresponding unit to realize the power production data interaction, and the following steps are further included:

[0092] The business work order characteristics are issued to the corresponding unit; based on the network real-time interaction technology, the web and the mobile terminal are used to realize the real-time, quality and efficiency of the integrated operation interaction of the superior and subordinate dispatching, the main and distribution network, the monitoring and the station operation and maintenance, so that a large number of work needing cooperation of multiple parties can be efficiently connected in a tacit and orderly manner, and the work efficiency and the operation safety level are greatly improved.

[0093] According to the different work order disposal process of the corresponding unit, the process node interaction is realized; the process node interaction includes the following:

[0094] Fault original collection, production information initial report, fault information report, detailed report and tracking control; and / or,

[0095] Report disposal, state application, permission work, acceptance confirmation, switching operation to form disposal opinion; and / or,

[0096] Determine the power safety measures and substation repair; and / or,

[0097] Apply for state, permission work, power transmission repair; and / or,

[0098] State adjustment, mode recovery and acceptance confirmation.

[0099] Based on the above flow node interaction, the "work order driven business" management and control mode can be promoted, the value of the work order can be excavated, the work order dispatch efficiency can be improved, the professional management ability can be improved, the technical level and work quality of personnel can be improved. It can also combine the characteristics and requirements of fault and abnormal task work orders, combine the equipment work order disposal requirements of the city and county jurisdiction, and complete the independent design of the fault / abnormal task work order disposal process of the city / country company.

[0100] In the embodiment of the application, a power production data interaction system 100 based on networked asynchronous interaction is also proposed. As shown in Figure 7 The event acquisition module 1 acquires multi-source abnormal data, fault data and on-site reported defect data and processes them to obtain abnormal events, fault events and defect events respectively.

[0101] The event acquisition module 1 acquires multi-source abnormal data, fault data and on-site reported defect data and processes them to obtain abnormal events, fault events and defect events respectively.

[0102] In the embodiments and other possible embodiments of the present disclosure, the multi-source abnormal data, fault data and defect data reported on site include, but are not limited to, DC system grounding fault / abnormality / defect, capacitor fault / abnormality / defect, mutual inductor fault / abnormality / defect, bus fault / abnormality / defect or lightning arrester fault / abnormality / defect, etc. The fault refers to a condition determined to be problematic, the abnormality refers to a problem occurring but it is not determined what kind of fault, and the defect refers to a condition determined to be problematic due to a lack of some device or equipment or a design problem. The above conditions are common conditions for personnel in the field to perform power maintenance. Under the power big data, the above conditions will usually occur, but can occur individually. The present disclosure will not be described in detail.

[0103] In the embodiments and other possible embodiments of the present disclosure, the multi-source can include data sources collected by multiple different devices or regions or locations, wherein the devices include, but are not limited to, one or more of the following: transformer, bus, capacitor, mutual inductor, circuit breaker, knife switch and other power mechanisms.

[0104] Preferably, the event acquisition module 1 is further configured to perform the following functions: comparing the multi-source abnormal data, fault data and defect data reported on site with a range corresponding to a preset event level, and if it falls within the range corresponding to the corresponding event level, converting the abnormal data, fault data and defect data reported on site into abnormal events, fault events and defect events of the corresponding level. The abnormal events, fault events or defect events include one or more of the following: power transformation operation and maintenance, power transformation maintenance, cable maintenance, line maintenance or control and maintenance. For example, when the corresponding event is a transformer fault, the range corresponding to the preset event level includes, but is not limited to, the following conditions: the oil temperature of the transformer is too high, exceeding 105℃, the transformer core grounding current is greater than 0.1A, the voltage value exceeds 2-4.5 times the rated voltage, etc. are the highest level of event level, and the level close to the normal use range is the medium risk event level.

[0105] Preferably, the multi-source abnormal data, fault data and defect data reported on site are screened and classified. The screening refers to falling within the preset range of abnormality, fault and defect, and the abnormality, fault and defect are classified according to the device type and location to obtain different types of abnormal events, fault events and defect events. The abnormal event, fault event or defect event classification includes one or more of the following: power transformation operation and maintenance, power transformation maintenance, cable maintenance, line maintenance or control and maintenance. For example, screening and classifying the reported data will allocate abnormal events, fault events and defect events of the same category or the same maintenance location to the same department for unified processing to reasonably provide disposal services, improve service quality and save maintenance resources.

[0106] The work order generation module 2 is configured to generate a service work order for the abnormal event, the fault event and the defect event based on a production service treatment model and the reacquired running state of the equipment corresponding to the abnormal event, the fault event and the defect event. The production service treatment model acquires production data of corresponding units in each link of power generation through a network in an asynchronous manner, forms a knowledge base according to the production data, decomposes the abnormal event, the fault event and the defect event into tasks, calls the production data in the knowledge base, and generates the service work order according to the decomposed tasks and the corresponding units meeting the conditions.

[0107] In the embodiments and other possible embodiments of the present disclosure, the production service treatment model can be trained in the following manner: collecting field knowledge collected by various units such as a command center, a control center, a county (district) company, a substation operation and maintenance department, a substation repair department, a power transmission operation and maintenance department, or a power transmission repair department, etc. The field knowledge includes but is not limited to: common terms of power systems, technical manuals of power equipment, technical manuals of power operation, technical manuals of power faults, relevant national standards (local standards) of power systems such as power transmission and transformation systems, and process terms of various units (including but not limited to command centers, control centers, county (district) companies, substation operation and maintenance departments, substation repair departments, power transmission operation and maintenance departments, or power transmission repair departments), etc. The above field knowledge is labeled, and then pre-trained using a Bert, Albert, Robeta, etc. pre-training model. The open source pre-training model code needs to be directly used to replace the labeled data for pre-training. For example, pre-training using Bert can include the following steps: randomly masking 20% of the above labeled text, then masking 70% of the above 20% text, randomly replacing 15% of the words in the text, and finally keeping 15% unchanged. MASK another 10% of the words in the word table are randomly replaced, and the last 10% remains unchanged. Convert the text to id, and add special marks [CLS], [SEP], [UNK], [PAD], etc. Traverse each sentence, then use random.random() to randomly generate a number, judge the size of the number and the MASK ratio to perform MASK, if a word in a word is masked, the entire word is also masked. Then perform the SOP task, wherein, NOP: next sentence prediction, positive sample = 2 adjacent sentences in normal order, negative sample = 2 random sentences; SOP: sentence order prediction, positive sample = 2 adjacent sentences in normal order, negative sample = 2 adjacent sentences in reversed order; finally complete the training and construction of the entire production service treatment model.

[0108] The knowledge base is a domain knowledge base, which is an intelligent semantic database labeled and trained to interact with a production business handling model, and can retrieve and match the content in the domain knowledge base according to the input data of the production business handling model. The domain knowledge base also contains production data of corresponding units in each link of power generation.

[0109] Preferably, the work order generation module 2 is also used to implement: obtaining a plurality of production business handling models; using a plurality of production business handling models can enable timely and independent processing when processing events from multiple sources, and combining the following task decomposition into different multi-level tasks. Based on the abnormal event, the fault event and the defect event, the running state of the equipment corresponding to the abnormal event, the fault event and the defect event is asynchronously obtained through the network; for example, after obtaining the abnormal event, the fault event and the defect event, the equipment condition obtained through the defect reporting system, the fault collection system or the abnormal early warning system in the power grid is collected again to verify and evaluate the current fault, abnormality or defect situation. Using a plurality of production business handling models, a plurality of abnormal events, fault events and defect events are decomposed into multi-level tasks according to the power operation nodes involved in the running state of the corresponding equipment; for example, after verifying the fault, abnormality or defect of the device state such as the running state of the transformer, the power operation nodes involved in the reported event are decomposed into multi-level tasks according to the disposal process of different units (or departments), and the multi-level tasks have different performances according to the process characteristics of different units, for example, the multi-level tasks at the monitoring commander include: fault original collection, production information initial report, fault information report, detailed report and tracking control; the multi-level tasks at the operation and maintenance inspection include: report disposal, state application, permission work, acceptance confirmation, switching operation to form disposal opinion; the multi-level tasks at the substation repair include: determining power safety measures, substation repair; the multi-level tasks at the cable patrol or line patrol include: application state, permission work, power transmission repair; the multi-level tasks at the control center include: state adjustment, mode recovery and acceptance confirmation.

[0110] Preferably, using a plurality of production business handling models, a plurality of abnormal events, fault events and defect events are decomposed into multi-level tasks according to the power operation nodes involved in the running state of the corresponding equipment, including the following steps:

[0111] Each of the plurality of abnormal events, fault events and defect events is synchronously decomposed using the production business handling model to obtain a plurality of task nodes of each event;

[0112] The task nodes involved in the same device or power operation node in the plurality of task nodes of each event are merged to obtain a same level task;

[0113] The same type of task is combined with the task nodes of other levels to obtain a multi-level task. The above preferred embodiment can enable the same type of fault, anomaly or defect to be combined and reflected to a business work order, thereby saving manpower.

[0114] According to the multi-level task, production data in the knowledge base are called to filter corresponding units meeting the conditions to generate a business work order.

[0115] The work order issuing module 3 issues the generated business work order to the corresponding units to realize power production data interaction, the corresponding units including one or more of the following: a command center, a control center, a county (district) company, a substation operation and maintenance department, a substation repair department, a power transmission operation and maintenance department, or a power transmission repair department, etc. After the task of the business work order is released, the participating departments selected according to the content of the business work order are selected, and the disposal process of the business work order is performed by the participating departments.

[0116] In the embodiment, after the generated business work order is issued to the corresponding units, the following modules are further included:

[0117] The comprehensive evaluation module 4 asynchronously acquires the work order disposal situation within the time limit defined in the business work order, and performs comprehensive evaluation after collecting all work order disposal situations;

[0118] Preferably, the state of the power operation node corresponding to the multi-level task corresponding to the business work order is asynchronously acquired after the time limit defined in the business work order, and is fed back to the corresponding unit. The work order disposal situation of all business work orders is combined with the state of the power operation node to perform comprehensive evaluation. For example, as shown in Figure 6 Fig. 4 is a schematic diagram of comprehensive evaluation. The disposal situation evaluation result of the power grid fault is exemplarily given. It includes task evaluation of substation operation and maintenance, substation repair, power transmission repair and cable repair. The evaluation items include processing failure, patrol completion degree, fault description clarity, fault processing result, total score and comments, etc. By acquiring the work order state in real time, the target of perfecting the "business work order, work order value, value performance" closed-loop management system is achieved. The business work order is used throughout the whole process of production and other businesses such as substation repair, patrol, operation and maintenance, defect elimination, invisibility elimination, test, countermeasures, special investigation, etc. Based on the existing work order evaluation index system, automatic evaluation, sampling evaluation and comprehensive evaluation of work order quality and efficiency are carried out, work order driven business control is realized, and the level of lean management and high-quality service capability of distribution network are continuously improved. At the same time, a set of field operation personnel evaluation management standard is established to assist in standardizing the management of operation teams, and the technical level and work quality of personnel are improved.

[0119] Preferably, after the comprehensive evaluation of the work order disposal situation, the following steps are further included:

[0120] The network communication module 5 is used for pushing the comprehensive evaluation information and the work order processing situation to the mobile operation terminal of the corresponding unit through the intelligent operation inspection management and control platform.

[0121] Preferably, the generated business work order is issued to the corresponding unit to realize the power production data interaction, and further comprises the following steps:

[0122] The business work order characteristics are issued to the corresponding unit; based on the network real-time interaction technology, the web and the mobile terminal are used to realize the real-time, quality and efficiency of the integrated operation interaction of the superior-subordinate dispatching, main distribution network, monitoring and power station operation and maintenance, so that a large number of works requiring multi-party cooperation can be efficiently connected in a tacit and orderly manner, and the work efficiency and operation safety level are greatly improved.

[0123] According to the different work order processing process realization process node interaction of the corresponding unit, the different work order processing process realization process node interaction of the corresponding unit is realized; the process node interaction comprises the following:

[0124] Fault original collection, production information initial report, fault information report, detailed report and tracking control; and / or,

[0125] Report disposal, state application, permission work, acceptance confirmation, switching operation forms disposal opinion; and / or,

[0126] Determine the power safety measures, substation repair; and / or,

[0127] Apply for state, permission work, power transmission repair; and / or,

[0128] State adjustment, mode recovery and acceptance confirmation.

[0129] Based on the interaction of the above process nodes, the "work order driven business" management and control mode can be promoted, the value of the work order can be excavated, the work order dispatching efficiency can be improved, the professional management ability can be improved, the personnel technical level and work quality and efficiency can be improved. In combination with the fault, abnormal task work order characteristics, requirements, and in combination with the equipment work order processing requirements of the prefecture and county jurisdiction, the fault / abnormal task work order processing process of the prefecture / city company is independently designed.

[0130] In addition, the disclosure also provides a power production data interaction system based on networked asynchronous interaction, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the above method. The system dispatch mode based on data decision can be realized. The business work order runs through the whole process of power transmission and transformation maintenance, patrol, operation and maintenance, defect elimination, elimination, test, countermeasures, special investigation and other production and business, realizes the real-time, quality and efficiency of integrated operation interaction of superior and subordinate dispatching, main and distribution network, monitoring and plant station operation and maintenance, so that a large number of work needing cooperation of multiple parties can be efficiently connected in tacit and orderly manner, greatly improving the work efficiency and operation safety level; promote the "work order driven business" control mode, dig the value of work order, improve the work order dispatch efficiency, improve the professional management ability, improve the technical level of personnel and work quality and efficiency.

[0131] In addition, the disclosure also provides a power production data interaction system based on networked asynchronous interaction, comprising: a computer readable storage medium having computer program instructions stored thereon, characterized in that the computer program instructions are executed by a processor to implement the above method. The system dispatch mode based on data decision can be realized. The business work order runs through the whole process of power transmission and transformation maintenance, patrol, operation and maintenance, defect elimination, elimination, test, countermeasures, special investigation and other production and business, realizes the real-time, quality and efficiency of integrated operation interaction of superior and subordinate dispatching, main and distribution network, monitoring and plant station operation and maintenance, so that a large number of work needing cooperation of multiple parties can be efficiently connected in tacit and orderly manner, greatly improving the work efficiency and operation safety level; promote the "work order driven business" control mode, dig the value of work order, improve the work order dispatch efficiency, improve the professional management ability, improve the technical level of personnel and work quality and efficiency.

[0132] In some embodiments, the device provided by the embodiments of the disclosure has functions or includes modules that can be used to execute the methods described in the above method embodiments, and the specific implementation can refer to the description of the above method embodiments. For brevity, it will not be repeated here.

[0133] The embodiments of the disclosure also provide a computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions are executed by a processor to implement the above method. The computer readable storage medium can be a non-volatile computer readable storage medium.

[0134] The embodiments of the disclosure also provide an electronic device, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to implement the above method. The electronic device can be provided as a terminal, a server or other forms of devices.

[0135] Figure 4is a block diagram of an electronic device 800 according to an exemplary embodiment. The electronic device 800 can be, for example, a terminal such as a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0136] Referring to Figure 4 The electronic device 800 can include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0137] The processing component 802 usually controls overall operations of the electronic device 800, such as operations associated with displaying, making a phone call, data communication, camera operation and recording operation. The processing component 802 can include one or more processors 820 to execute instructions to complete all or part of steps of the above-described methods. In addition, the processing component 802 can include one or more modules to facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0138] The memory 804 is configured to store various types of data to support operations of the electronic device 800. Examples of these data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0139] The power supply component 806 supplies electric power for the various components of the electronic device 800. The power supply component 806 can include a power supply management system, one or more power supplies, and other components associated with generating, managing and distributing electric power for the electronic device 800.

[0140] The multimedia component 808 includes a screen to provide an output interface between the electronic device 800 and a user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense a touch, a slide, and a gesture on the touch panel. The touch sensor can not only sense a boundary of a touching or a sliding action, but also detect duration and intensity of the touching or sliding action. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a camera mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have a focal length and optical zooming capability.

[0141] The audio component 810 is configured to output and / or input an audio signal. For example, the audio component 810 includes a microphone (MIC) to receive an external audio signal when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 further includes a speaker to output an audio signal.

[0142] The I / O interface 812 provides an interface for the processing component 802 and peripheral interface modules, which can be a keypad, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0143] The sensor component 814 includes one or more sensors to provide various state assessments for the electronic device 800. For example, the sensor component 814 can detect an open / closed state of the electronic device 800, relative positioning of components, such as a display and a keypad of the electronic device 800, a change in position of the electronic device 800 or a component of the electronic device 800, presence or absence of user contact with the electronic device 800, an orientation or acceleration / deceleration of the electronic device 800, and a temperature change of the electronic device 800. The sensor component 814 can include a proximity sensor configured to detect presence of a nearby object without any physical touch. The sensor component 814 can further include a light sensor such as a CMOS or CCD image sensor for use in an imaging application. In some embodiments, the sensor component 814 can further include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0144] The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on Radio Frequency Identification (RFID) techniques, infrared data association (IrDA) techniques, ultra-wideband (UWB) techniques, Bluetooth (BT) techniques, and other techniques.

[0145] In an exemplary embodiment, the electronic device 800 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic elements, for performing the above-described methods.

[0146] In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804 including computer program instructions, is also provided, which can be executed by the processor 820 of the electronic device 800 to complete the above-described methods.

[0147] Figure 5 is a block diagram of an electronic device 1900 according to an exemplary embodiment. For example, the electronic device 1900 can be provided as a server. Referring to Figure 5 , the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932, for storing instructions, such as application programs, executable by the processing component 1922. The application programs stored in the memory 1932 can include one or more than one module each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute the instructions to perform the above-described methods.

[0148] The electronic device 1900 can also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output (I / O) interface 1958. The electronic device 1900 can operate based on an operating system stored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0149] In an example embodiment, a non-transitory computer-readable storage medium, such as the memory 1932 including computer program instructions, is also provided, which can be executed by the processing component 1922 of the electronic device 1900 to complete the above method.

[0150] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

[0151] The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or punched tape, a

[0152] The computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0153] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0154] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0155] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can include random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other data storage device. When the computer readable program instructions are loaded into the computer and other programmable data processing apparatus, a series of operational steps are implemented that provide processes such that the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0156] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0157] The flow diagrams and the block diagrams in the drawings are presented to illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flow diagrams and the block diagrams can represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logic functions. In some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and / or flow diagrams, and combinations thereof, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and

[0158] Embodiments of the present disclosure have been described above, and the description is intended to be illustrative of the embodiments and not restrictive. Many modifications and variations of the described embodiments are possible and are within the scope of the disclosure. The selection of the terms to be used in the description is not intended to limit the scope of the embodiments described herein, but rather to best describe the principles of the embodiments in the context of the specific application.

Claims

1. A power production data interaction method based on networked asynchronous interaction, characterized in that, Includes the following steps: Acquire multi-source anomaly data, fault data, and on-site reported defect data, and process them respectively to obtain anomaly events, fault events, and defect events; Based on the production business processing model and the reacquired operating status of the corresponding equipment for abnormal events, fault events, and defect events, a business work order is generated for the abnormal events, fault events, and defect events. The production business processing model obtains the production data of the corresponding units in each link of power production asynchronously through the network, forms a knowledge base based on the production data, decomposes the abnormal events, fault events, and defect events into tasks, calls the production data in the knowledge base, and generates business work orders by filtering the corresponding units that meet the conditions according to the decomposed tasks. Based on the production business handling model and the re-acquired operating status of the corresponding equipment for the abnormal events, fault events, and defect events, a business work order is generated for the abnormal events, fault events, and defect events, including: Obtain multiple production business processing models; Based on the aforementioned abnormal events, fault events, and defect events, the operating status of the corresponding devices is obtained asynchronously via the network. Using multiple production business processing models, the multiple abnormal events, fault events and defect events are decomposed into multi-level tasks based on the power operation nodes involved in the operating status of the corresponding equipment. Based on the multi-level task, production data in the knowledge base is used to filter and generate business work orders from corresponding units that meet the conditions. Specifically, multiple production operation handling models are used to decompose multiple abnormal events, fault events, and defect events into multi-level tasks based on the power operation nodes involved in the operating status of the corresponding equipment, including the following steps: Each of the multiple abnormal events, fault events, and defect events is synchronously decomposed using the production business handling model to obtain multiple task nodes for each event; Merge the task nodes that involve the same device or power operation node from multiple task nodes of each event to obtain the same level of task; The same level of task is combined with task nodes of other levels to obtain multi-level tasks; The generated work orders are sent to the corresponding units to realize the interaction of power production data. The corresponding units include one or more of the following: command center, control center, substation operation and maintenance department, substation maintenance department, transmission line operation and maintenance department, or transmission line maintenance department.

2. The power production data interaction method based on networked asynchronous interaction according to claim 1, characterized in that, The process of acquiring multi-source anomaly data, fault data, and on-site reported defect data, and processing them separately to obtain anomaly events, fault events, and defect events, includes the following steps: The abnormal data, fault data, and defect data reported on-site are compared with the range corresponding to the preset event level. If they fall within the range corresponding to the event level, the abnormal data, fault data, and defect data reported on-site are converted into abnormal events, fault events, and defect events of the corresponding level. The abnormal events, fault events, or defect events include one or more of the following: substation operation and maintenance, substation repair, cable repair, line repair, or control repair.

3. The power production data interaction method based on networked asynchronous interaction according to claim 1, characterized in that, The process of acquiring multi-source anomaly data, fault data, and on-site reported defect data, and processing them separately to obtain anomaly events, fault events, and defect events, includes the following steps: Multi-source abnormal data, fault data, and on-site reported defect data are filtered and classified. The filtering refers to data falling within the preset range of abnormalities, faults, and defects. Abnormalities, faults, and defects are classified according to equipment type and location to obtain different types of abnormal events, fault events, and defect events. The classification of abnormal events, fault events, or defect events includes one or more of the following: substation operation and maintenance, substation repair, cable repair, line repair, or control repair.

4. The power production data interaction method based on networked asynchronous interaction according to claim 1, characterized in that, After the generated work order is sent to the corresponding unit, the following steps are also included: The status of work order processing is asynchronously retrieved after the time limit specified in the work order, and a comprehensive evaluation is performed after all work order processing statuses are collected.

5. The power production data interaction method based on networked asynchronous interaction according to claim 1, characterized in that, After the generated work order is sent to the corresponding unit, the following steps are also included: After the time limit specified in the business work order, the status of the power operation node corresponding to the multi-level task of the business work order is asynchronously obtained and fed back to the corresponding unit. The work order processing status of all business work orders is obtained and comprehensively evaluated in combination with the status of the power operation node.

6. The power production data interaction method based on networked asynchronous interaction according to claim 5, characterized in that, After a comprehensive evaluation of the work order processing, the following steps are also included: The comprehensive evaluation information and work order handling status will be pushed to the mobile operation terminal of the corresponding unit through the intelligent operation and maintenance management platform.

7. The power production data interaction method based on networked asynchronous interaction according to any one of claims 1-6, characterized in that, The process of sending the generated work orders to the corresponding units to achieve power production data exchange also includes the following steps: Distribute the characteristics of the work order to the corresponding departments; Based on the corresponding unit's handling procedures, the system enables interaction between different work order handling procedures within the corresponding unit, and the process node interactions include the following: Original fault collection, initial production information reporting, fault information reporting, detailed reporting, and tracking and control; and / or, Reporting on handling, status application, work permitting, acceptance confirmation, switching operations, and forming handling opinions; and / or, Determine power safety measures, substation emergency repairs; and / or, Application status, work permit, power transmission repair; and / or, Status adjustment, method restoration, and acceptance confirmation.

8. A power production data interaction system based on networked asynchronous interaction, characterized in that, include: The event acquisition module acquires multi-source abnormal data, fault data, and defect data reported on-site, and processes them to obtain abnormal events, fault events, and defect events respectively. The work order generation module generates work orders for the abnormal, fault, and defective events based on the production business processing model and the re-acquired operating status of the corresponding equipment. The production business processing model asynchronously acquires production data of corresponding units in each stage of power production through the network, forms a knowledge base based on the production data, decomposes the abnormal, fault, and defective events into tasks, calls the production data in the knowledge base, and generates work orders by selecting the corresponding units that meet the conditions according to the decomposed tasks. The work order distribution module distributes the generated business work orders to the corresponding units to realize the interaction of power production data. The corresponding units include one or more of the following: command center, control center, substation operation and maintenance department, substation maintenance department, transmission line operation and maintenance department, or transmission line maintenance department. Based on the production business handling model and the re-acquired operating status of the corresponding equipment for the abnormal events, fault events, and defect events, a business work order is generated for the abnormal events, fault events, and defect events, including: Obtain multiple production business processing models; Based on the aforementioned abnormal events, fault events, and defect events, the operating status of the corresponding devices is obtained asynchronously via the network. Using multiple production business processing models, the multiple abnormal events, fault events and defect events are decomposed into multi-level tasks based on the power operation nodes involved in the operating status of the corresponding equipment. Based on the multi-level task, production data in the knowledge base is used to filter and generate business work orders from corresponding units that meet the conditions. Specifically, multiple production operation handling models are used to decompose multiple abnormal events, fault events, and defect events into multi-level tasks based on the power operation nodes involved in the operating status of the corresponding equipment, including the following steps: Each of the multiple abnormal events, fault events, and defect events is synchronously decomposed using the production business handling model to obtain multiple task nodes for each event; Merge the task nodes that involve the same device or power operation node from multiple task nodes of each event to obtain the same level of task; The same level of task is combined with task nodes of other levels to obtain multi-level tasks.

9. A power production data interaction system based on networked asynchronous interaction, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to invoke instructions stored in the memory to execute the method according to any one of claims 1 to 7.

10. A power production data interaction system based on networked asynchronous interaction, comprising: A computer-readable storage medium having stored thereon computer program instructions, characterized in that, when executed by a processor, the computer program instructions implement the method described in any one of claims 1 to 7.

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