CN111105048A - Early warning method for state of power transmission and transformation Internet of things equipment - Google Patents
Early warning method for state of power transmission and transformation Internet of things equipment Download PDFInfo
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Abstract
The invention belongs to the technical field of power transmission and transformation equipment monitoring, and provides a power transmission and transformation Internet of things equipment state early warning method, which comprises the following steps: collecting and storing state data of the power transmission and transformation equipment; processing the state data of the power transmission and transformation equipment and outputting early warning information of the power transmission and transformation equipment; checking whether new early warning information exists; the state evaluation center audits the early warning information and issues an early warning processing list; filtering abnormal information according to the voltage level of the equipment in a hierarchical manner, and analyzing the change trend of abnormal data; summarizing equipment data, and judging whether equipment parameter verification and analysis are needed or not; verifying and analyzing the parameter data of the power transmission and transformation equipment, and feeding back the abnormal reason; checking whether the running state of the whole network power transmission and transformation equipment is normal; filing and recording; and carrying out fault positioning and defect elimination of the device, and carrying out fault feedback. The early warning method for the state of the power transmission and transformation Internet of things equipment has the advantages of improving early warning processing efficiency, reducing cost and reducing manpower and material resources.
Description
Technical Field
The invention relates to the technical field of power transmission and transformation equipment monitoring, in particular to a power transmission and transformation Internet of things equipment state early warning method.
Background
With the comprehensive change of the power grid from technology, thinking, concept, mode and the like by the internet, the production, working and operation modes of the power grid are changed in a brand-new intelligent ecological mode, mobile informatization gradually becomes the 'standard allocation' of power grid informatization construction, the fusion of 'internet + power grid operation inspection' needs to be deeply analyzed and applied by combining the operation inspection professional characteristics and future development requirements, the traditional operation inspection management mode and working mode are comprehensively changed, an operation inspection professional intelligent system is constructed, the 'online' is gradually popularized and applied, and the whole business is handled on the network.
The traditional monitoring mode of the power transmission and transformation equipment can only maintain, inspect or collect part of parameters of the power transmission and transformation equipment through a mode of overhauling under lines or part of parameters of the power transmission and transformation equipment, cannot collect and check the change condition of the parameters of the power transmission and transformation equipment in the whole network in real time, and is lack of the capability of recording fault information and historical fault processing results and analyzing on the basis of the fault information and the historical fault processing results, so that manpower and material resources are wasted.
Disclosure of Invention
Aiming at the defects in the prior art, the early warning method for the state of the power transmission and transformation Internet of things equipment has the advantages of improving the early warning processing efficiency, reducing the cost and reducing the manpower and material resources by acquiring the change condition of the power transmission and transformation equipment parameters in real time and combining online monitoring and offline maintenance.
In order to solve the technical problems, the invention provides the following technical scheme:
a pre-warning method for states of power transmission and transformation Internet of things equipment comprises the following steps:
s01: collecting and storing state data of the power transmission and transformation equipment: collecting state data of the power transmission and transformation equipment through a data collecting module, and storing the collected data in a data storage module;
s02: processing the state data of the electric transmission and transformation equipment and outputting early warning information of the electric transmission and transformation equipment: the data processing module edits and processes the acquired state data of the power transmission and transformation equipment and sends the data to the early warning module, and the early warning module judges the power transmission and transformation equipment and the parameter type of which the early warning occurs according to a preset judgment standard;
s03: checking whether new early warning information exists: checking whether new early warning information exists or not through an early warning module of the visualization platform, if the new early warning information exists, timely reporting the early warning information to a state evaluation center by monitoring personnel, and simultaneously executing the step S04, if the new early warning information does not exist, executing the step S05;
s04: the state evaluation center checks the early warning information and issues an early warning processing list, and the step S09 is carried out;
s05: filtering abnormal information according to the voltage levels of the equipment in a hierarchical mode, and analyzing the change trend of abnormal data: dividing the equipment voltage into four levels of more than 750KV, 220KV, 330KV and 110KV, filtering the equipment data and analyzing the change trend of abnormal data by twice a day for the equipment with more than 750KV, filtering the equipment data and analyzing the change trend of the abnormal data by once a day for the equipment with 220KV and 330KV, and filtering the equipment data and analyzing the trend of the abnormal data by once a week for the equipment with 110 KV;
s06: summarizing equipment data, and judging whether equipment parameter verification and analysis are needed: summarizing data of different voltage level devices by taking every three days as a period, summarizing and reporting the data to a state evaluation center in time if parameter change is abnormal or the data is in a continuous increase trend, and executing a step S07, otherwise, executing a step S08;
s07: the transportation and inspection responsible persons in various cities verify and analyze the parameter data of the power transmission and transformation equipment, feed back abnormal reasons and transfer to the step S09;
s08: the main station maintenance personnel check whether the running state of the whole network power transmission and transformation equipment is normal, if so, the step S09 is executed, otherwise, the step S10 is executed;
s09: filing and recording;
s10: and the main station maintainer performs device fault positioning and defect elimination work, performs fault feedback and goes to the step S09.
Further, the power transmission and transformation equipment monitoring device in step S01 includes: icing monitoring devices, wire temperature monitoring devices, little meteorological monitoring devices, breeze vibration monitoring devices, the filthy monitoring devices of environment, shaft tower slope monitoring devices and wire sag monitoring devices, power transmission and transformation equipment state data include: ambient temperature, humidity, wind direction, wind speed, equivalent icing thickness, comprehensive load and unbalanced tension difference of the icing monitoring device; the wire temperature monitoring device comprises a wire temperature I and a wire temperature II; the microclimate monitoring device is used for monitoring the temperature, air pressure, humidity, rainfall intensity and light radiation intensity of the microclimate monitoring device; the vibration frequency and the dynamic bending strain value of a ground wire of the breeze vibration monitoring device; the on-site salt density and ash density values of the environmental pollution monitoring device; the tower inclination and the cross arm inclination of the tower inclination monitoring device are monitored; the wire sag and the distance to the ground of the wire sag monitoring device.
Further, the process of the state evaluation center auditing the warning information and issuing the warning processing list in step S04 includes:
s0401: judging the consistency of the early warning information of the power transmission and transformation equipment and the acquired state information of the power transmission and transformation equipment, if so, executing a step S0403, and if not, executing a step S0402;
s0402: feeding back the inconsistency between the early warning information of the power transmission and transformation equipment and the collected state information of the power transmission and transformation equipment, waiting for new early warning information, and returning to the starting state;
s0403: issuing the early warning processing work order to a relevant maintenance department;
s0404: and collecting processing information fed back by the relevant maintenance departments, and filing.
Further, the method for filtering the device data in step S05 is a Bloom Filter (Bloom Filter) algorithm.
Further, the process of verifying and analyzing the parameter data of the power transmission and transformation equipment by each of the local transportation and inspection responsible persons in step S07 includes:
s0701: judging the consistency of the parameter change of the electric transmission and transformation equipment and the state change of the collected electric transmission and transformation equipment, if so, executing a step S0703, and if not, executing a step S0702;
s0702: feeding back the inconsistency between the parameter change of the electric transmission and transformation equipment and the acquired state change of the electric transmission and transformation equipment, waiting for new data with abnormal parameter change, and returning to the starting state;
s0703: and the continuous supervision of the power transmission and transformation equipment is enhanced, the parameter change in the supervision time period is compared with the acquired parameter change condition of the power transmission and transformation equipment, the reason for the abnormal parameter change is analyzed, and the parameter change is fed back and filed.
Further, the process of the master station maintenance personnel performing device fault location and defect elimination in step S10 includes:
s1001: collecting fault information and defect information of the power transmission and transformation equipment;
s1002: carrying out on-site inspection on the power transmission and transformation equipment according to the fault information and the defect information of the power transmission and transformation equipment;
s1003: judging the reasons of the faults and the defects according to the field inspection condition;
s1004: and performing fault processing and defect processing, feeding back fault and defect occurrence reasons and processing results, and filing.
Further comprises a data acquisition module, a data storage module, a data processing module, an application support module and an early warning module,
the data acquisition module is used for acquiring state data of the power transmission and transformation equipment through an offline mode, a real-time mode, a manual input mode, a Web acquisition uploading mode and a protocol mode;
the data storage module is used for storing state data of the power transmission and transformation equipment;
the data processing module is used for carrying out data exchange, data comparison and data cleaning conversion on the state data of the power transmission and transformation equipment;
the early warning module is used for receiving the state data processed by the data processing module and judging early warning information according to a preset standard.
According to the technical scheme, the invention has the beneficial effects that: the real-time whole-network power transmission and transformation equipment parameter acquisition and early warning module is used for judging acquisition equipment parameters and outputting early warning information, so that workers can conveniently monitor the operation condition of the power transmission and transformation equipment in real time, analyze the reason of early warning according to the early warning information and historical early warning information, and issue an early warning processing list to relevant maintenance departments at the same time, thereby realizing a mode of combining online scheduling and offline maintenance, and having the advantages of improving the early warning processing efficiency, reducing the cost and reducing manpower and material resources.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a flow chart of the present invention;
fig. 2 is a flowchart of the state evaluation center checking the warning information and issuing the warning processing list in step S04 in the present invention;
fig. 3 is a flowchart illustrating the verification and analysis of the parameter data of the power transmission and transformation equipment performed by each of the local transportation and inspection responsible persons in step S07 according to the present invention;
fig. 4 is a flowchart of the device fault location and defect elimination performed by the main station maintenance worker in step S10 in the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
Referring to fig. 1, a method for early warning of a state of a power transmission and transformation internet of things device includes the following steps:
s01: collecting and storing state data of the power transmission and transformation equipment: collecting state data of the power transmission and transformation equipment through a data collecting module, and storing the collected data in a data storage module;
s02: processing the state data of the electric transmission and transformation equipment and outputting early warning information of the electric transmission and transformation equipment: the data processing module edits and processes the acquired state data of the power transmission and transformation equipment and sends the data to the early warning module, the early warning module judges the power transmission and transformation equipment and the parameter type of the early warning according to a preset judgment standard, wherein the preset judgment range of the parameter data of the power transmission and transformation equipment is divided into a normal value range, an early warning value range and an alarm value range, when the acquired parameters of the power transmission and transformation equipment are compared with the preset judgment range of the parameter data of the power transmission and transformation equipment, if the parameters of the power transmission and transformation equipment fall within the early warning value range of the parameters of the power transmission and transformation equipment, the types of the power transmission and transformation equipment and the parameters are output.
S03: checking whether new early warning information exists: checking whether new early warning information exists or not through an early warning module of the visualization platform, if the new early warning information exists, timely reporting the early warning information to a state evaluation center by monitoring personnel, and simultaneously executing the step S04, if the new early warning information does not exist, executing the step S05;
s04: the state evaluation center checks the early warning information and issues an early warning processing list, and the step S09 is carried out;
s05: filtering abnormal information according to the voltage levels of the equipment in a hierarchical mode, and analyzing the change trend of abnormal data: dividing the equipment voltage into four levels of more than 750KV, 220KV, 330KV and 110KV, filtering the equipment data and analyzing the change trend of abnormal data by twice a day for the equipment with more than 750KV, filtering the equipment data and analyzing the change trend of the abnormal data by once a day for the equipment with 220KV and 330KV, and filtering the equipment data and analyzing the trend of the abnormal data by once a week for the equipment with 110 KV;
s06: summarizing equipment data, and judging whether equipment parameter verification and analysis are needed: summarizing data of different voltage level devices by taking every three days as a period, summarizing and reporting the data to a state evaluation center in time if parameter change is abnormal or the data is in a continuous increase trend, and executing a step S07, otherwise, executing a step S08;
s07: the transportation and inspection responsible persons in various cities verify and analyze the parameter data of the power transmission and transformation equipment, feed back abnormal reasons and transfer to the step S09;
s08: the main station maintenance personnel check whether the running state of the whole network power transmission and transformation equipment is normal, if so, the step S09 is executed, otherwise, the step S10 is executed;
s09: filing and recording;
s10: and the main station maintainer performs device fault positioning and defect elimination work, performs fault feedback and goes to the step S09.
In actual use, the real-time whole-network power transmission and transformation equipment parameter acquisition and early warning module judges the acquisition equipment parameters and outputs early warning information, so that workers can conveniently monitor the operation condition of the power transmission and transformation equipment in real time, analyze the reason of early warning according to the early warning information and historical early warning information, and issue an early warning processing list to a related maintenance department, thereby realizing a mode of combining online scheduling and offline maintenance, and having the advantages of improving the early warning processing efficiency, reducing the cost and reducing manpower and material resources.
In this embodiment, the power transmission and transformation equipment monitoring device in step S01 includes: icing monitoring devices, wire temperature monitoring devices, little meteorological monitoring devices, breeze vibration monitoring devices, the filthy monitoring devices of environment, shaft tower slope monitoring devices and wire sag monitoring devices, power transmission and transformation equipment state data include: ambient temperature, humidity, wind direction, wind speed, equivalent icing thickness, comprehensive load and unbalanced tension difference of the icing monitoring device; the wire temperature monitoring device comprises a wire temperature I and a wire temperature II; the microclimate monitoring device is used for monitoring the temperature, air pressure, humidity, rainfall intensity and light radiation intensity of the microclimate monitoring device; the vibration frequency and the dynamic bending strain value of a ground wire of the breeze vibration monitoring device; the on-site salt density and ash density values of the environmental pollution monitoring device; the tower inclination and the cross arm inclination of the tower inclination monitoring device are monitored; the wire sag and the distance to the ground of the wire sag monitoring device.
In practical use, taking the equivalent icing thickness (mm) of the monitoring parameter of the icing monitoring device as an example, the range of the normal value is as follows: 0-0.2D, an early warning value of 0.2D, an alarm value of 1.0D, wherein D is the designed ice thickness (mm), and when the monitoring value of the equivalent ice coating thickness is within the range of 0.2D-1.0D, early warning information is sent out.
Referring to fig. 2, the process of the state evaluation center auditing the warning information and issuing the warning processing list in step S04 includes:
s0401: judging the consistency of the early warning information of the power transmission and transformation equipment and the acquired state information of the power transmission and transformation equipment, if so, executing a step S0403, and if not, executing a step S0402;
s0402: feeding back the inconsistency between the early warning information of the power transmission and transformation equipment and the collected state information of the power transmission and transformation equipment, waiting for new early warning information, and returning to the starting state;
s0403: issuing the early warning processing work order to a relevant maintenance department;
s0404: and collecting processing information fed back by the relevant maintenance departments, and filing.
In actual use, the state evaluation center firstly checks the consistency of the early warning information of the power transmission and transformation equipment and the acquired state information of the power transmission and transformation equipment, eliminates the condition that the actual state information of the power transmission and transformation equipment is deviated from the early warning information due to the fault of a monitoring system of the power transmission and transformation equipment, and manpower and material resources are wasted due to dispatching of the early warning processing work order, and meanwhile, the early warning processing work order can conveniently record the early warning information and the processing information to carry out closed-loop management.
In this embodiment, the method for filtering the device data in step S05 is a bloom filter (BloomFilter) algorithm, and has a high processing rate.
Referring to fig. 3, the process of verifying and analyzing the power transmission and transformation equipment parameter data by each of the local transportation and inspection responsible persons in step S07 includes:
s0701: judging the consistency of the parameter change of the electric transmission and transformation equipment and the state change of the collected electric transmission and transformation equipment, if so, executing a step S0703, and if not, executing a step S0702;
s0702: feeding back the inconsistency between the parameter change of the electric transmission and transformation equipment and the acquired state change of the electric transmission and transformation equipment, waiting for new data with abnormal parameter change, and returning to the starting state;
s0703: and the continuous supervision of the power transmission and transformation equipment is enhanced, the parameter change in the supervision time period is compared with the acquired parameter change condition of the power transmission and transformation equipment, the reason for the abnormal parameter change is analyzed, and the parameter change is fed back and filed.
In actual use, each region of city transportation inspection responsible persons firstly check consistency of parameter change of the power transmission and transformation equipment and acquired state change of the power transmission and transformation equipment, and eliminate the condition that human and material resources are wasted due to deviation between actual state information and early warning information of the power transmission and transformation equipment caused by faults of a power transmission and transformation equipment monitoring system and errors of manual checking of a state evaluation center; when carrying out parameter anomaly analysis, the transportation inspection responsible persons in various regions carry out difference comparison on the current latest monitoring parameter data and the previous parameter data, if the comparison value is larger than the standard value, the current latest monitoring parameter data is judged to be mutated once, if the current latest monitoring parameter data exceeds 10 times of continuous mutation, the current latest monitoring parameter data is judged to be abnormal, if the current latest monitoring parameter data exceeds 20 times of continuous mutation, the current latest monitoring parameter data is judged to be hidden danger, if the current latest monitoring parameter data exceeds 30 times of continuous mutation, the current latest monitoring parameter data is judged to be fault, and personnel.
Referring to fig. 4, the process of the master station maintenance worker performing device fault location and defect elimination in step S10 includes:
s1001: collecting fault information and defect information of the power transmission and transformation equipment;
s1002: carrying out on-site inspection on the power transmission and transformation equipment according to the fault information and the defect information of the power transmission and transformation equipment;
s1003: judging the reasons of the faults and the defects according to the field inspection condition;
s1004: and performing fault processing and defect processing, feeding back fault and defect occurrence reasons and processing results, and filing.
In actual use, the main station maintenance personnel check the field equipment according to the fault information and the defect information of the power transmission and transformation equipment, so that the maintenance time is saved, and meanwhile, the fault reason and the processing result are fed back, so that the subsequent parameter data analysis is facilitated.
In the embodiment, the system at least comprises a data acquisition module, a data storage module, a data processing module, an application support module and an early warning module,
the data acquisition module is used for acquiring state data of the power transmission and transformation equipment through an offline mode, a real-time mode, a manual input mode, a Web acquisition uploading mode and a protocol mode;
the data storage module is used for storing state data of the power transmission and transformation equipment, and the data storage module is a relational database, a distributed database and a memory database;
the data processing module is used for carrying out data exchange, data comparison and data cleaning conversion on the state data of the power transmission and transformation equipment;
the early warning module is used for receiving the state data processed by the data processing module and judging early warning information according to a preset standard.
In actual use, the data acquisition module realizes the real-time collection of parameter data between monitoring devices and the monitored equipment through multiple modes, is convenient for the full-coverage collection of parameter data, and guarantees the comprehensiveness of the collected data and the accuracy of early warning information through the cooperation of the data acquisition module, the data storage module, the data processing module and the early warning module.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (7)
1. The early warning method for the state of the power transmission and transformation Internet of things equipment is characterized by comprising the following steps:
s01: collecting and storing state data of the power transmission and transformation equipment: collecting state data of the power transmission and transformation equipment through a data collecting module, and storing the collected data in a data storage module;
s02: processing the state data of the electric transmission and transformation equipment and outputting early warning information of the electric transmission and transformation equipment: the data processing module edits and processes the acquired state data of the power transmission and transformation equipment and sends the data to the early warning module, and the early warning module judges the power transmission and transformation equipment and the parameter type of which the early warning occurs according to a preset judgment standard;
s03: checking whether new early warning information exists: checking whether new early warning information exists or not through an early warning module of the visualization platform, if the new early warning information exists, timely reporting the early warning information to a state evaluation center by monitoring personnel, and simultaneously executing the step S04, if the new early warning information does not exist, executing the step S05;
s04: the state evaluation center checks the early warning information and issues an early warning processing list, and the step S09 is carried out;
s05: filtering abnormal information according to the voltage levels of the equipment in a hierarchical mode, and analyzing the change trend of abnormal data: dividing the equipment voltage into four levels of more than 750KV, 220KV, 330KV and 110KV, filtering the equipment data and analyzing the change trend of abnormal data by twice a day for the equipment with more than 750KV, filtering the equipment data and analyzing the change trend of the abnormal data by once a day for the equipment with 220KV and 330KV, and filtering the equipment data and analyzing the trend of the abnormal data by once a week for the equipment with 110 KV;
s06: summarizing equipment data, and judging whether equipment parameter verification and analysis are needed: summarizing data of different voltage level devices by taking every three days as a period, summarizing and reporting the data to a state evaluation center in time if parameter change is abnormal or the data is in a continuous increase trend, and executing a step S07, otherwise, executing a step S08;
s07: the transportation and inspection responsible persons in various cities verify and analyze the parameter data of the power transmission and transformation equipment, feed back abnormal reasons and transfer to the step S09;
s08: the main station maintenance personnel check whether the running state of the whole network power transmission and transformation equipment is normal, if so, the step S09 is executed, otherwise, the step S10 is executed;
s09: filing and recording;
s10: and the main station maintainer performs device fault positioning and defect elimination work, performs fault feedback and goes to the step S09.
2. The early warning method for the state of the power transmission and transformation internet of things equipment according to claim 1, wherein the power transmission and transformation equipment monitoring device in the step S01 comprises: icing monitoring devices, wire temperature monitoring devices, little meteorological monitoring devices, breeze vibration monitoring devices, the filthy monitoring devices of environment, shaft tower slope monitoring devices and wire sag monitoring devices, power transmission and transformation equipment state data include: ambient temperature, humidity, wind direction, wind speed, equivalent icing thickness, comprehensive load and unbalanced tension difference of the icing monitoring device; the wire temperature monitoring device comprises a wire temperature I and a wire temperature II; the microclimate monitoring device is used for monitoring the temperature, air pressure, humidity, rainfall intensity and light radiation intensity of the microclimate monitoring device; the vibration frequency and the dynamic bending strain value of a ground wire of the breeze vibration monitoring device; the on-site salt density and ash density values of the environmental pollution monitoring device; the tower inclination and the cross arm inclination of the tower inclination monitoring device are monitored; the wire sag and the distance to the ground of the wire sag monitoring device.
3. The early warning method for the state of the power transmission and transformation internet of things equipment according to claim 1, wherein the process of the state evaluation center auditing the early warning information and issuing the early warning processing list in the step S04 comprises the following steps:
s0401: judging the consistency of the early warning information of the power transmission and transformation equipment and the acquired state information of the power transmission and transformation equipment, if so, executing a step S0403, and if not, executing a step S0402;
s0402: feeding back the inconsistency between the early warning information of the power transmission and transformation equipment and the collected state information of the power transmission and transformation equipment, waiting for new early warning information, and returning to the starting state;
s0403: issuing the early warning processing work order to a relevant maintenance department;
s0404: and collecting processing information fed back by the relevant maintenance departments, and filing.
4. The early warning method for the state of the transmission and transformation internet of things equipment according to claim 1, wherein the method for filtering the equipment data in the step S05 is a Bloom Filter (Bloom Filter) algorithm.
5. The early warning method for the state of the power transmission and transformation internet of things equipment according to claim 1, wherein the process of verifying and analyzing the parameter data of the power transmission and transformation equipment by each municipal transportation and inspection responsible person in the step S07 comprises:
s0701: judging the consistency of the parameter change of the electric transmission and transformation equipment and the state change of the collected electric transmission and transformation equipment, if so, executing a step S0703, and if not, executing a step S0702;
s0702: feeding back the inconsistency between the parameter change of the electric transmission and transformation equipment and the acquired state change of the electric transmission and transformation equipment, waiting for new data with abnormal parameter change, and returning to the starting state;
s0703: and the continuous supervision of the power transmission and transformation equipment is enhanced, the parameter change in the supervision time period is compared with the acquired parameter change condition of the power transmission and transformation equipment, the reason for the abnormal parameter change is analyzed, and the parameter change is fed back and filed.
6. The early warning method for the state of the power transmission and transformation internet of things equipment according to claim 1, wherein the process of performing device fault location and defect elimination work by main station maintenance personnel in the step S10 comprises the following steps:
s1001: collecting fault information and defect information of the power transmission and transformation equipment;
s1002: carrying out on-site inspection on the power transmission and transformation equipment according to the fault information and the defect information of the power transmission and transformation equipment;
s1003: judging the reasons of the faults and the defects according to the field inspection condition;
s1004: and performing fault processing and defect processing, feeding back fault and defect occurrence reasons and processing results, and filing.
7. The early warning method for the state of the power transmission and transformation Internet of things equipment according to any one of claims 1 to 6, which is characterized by at least comprising a data acquisition module, a data storage module, a data processing module, an application support module and an early warning module,
the data acquisition module is used for acquiring state data of the power transmission and transformation equipment through an offline mode, a real-time mode, a manual input mode, a Web acquisition uploading mode and a protocol mode;
the data storage module is used for storing state data of the power transmission and transformation equipment;
the data processing module is used for carrying out data exchange, data comparison and data cleaning conversion on the state data of the power transmission and transformation equipment;
the early warning module is used for receiving the state data processed by the data processing module and judging early warning information according to a preset standard.
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