CN112070249A - Intelligent database system and method for evaluating total life of power equipment - Google Patents
Intelligent database system and method for evaluating total life of power equipment Download PDFInfo
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Abstract
The invention relates to a method for evaluating the whole service life of power equipment, which comprises the following steps: acquiring current use data; obtaining prediction data according to the current use data; the method and the device have the effect of improving the working efficiency.
Description
Technical Field
The invention relates to the technical field of power equipment, in particular to an intelligent database system and an evaluation method for evaluating the whole service life of power equipment.
Background
Since the second industrial revolution, power equipment is becoming an indispensable part of industrial production and daily life, most of the power equipment is expensive in cost and plays an important role in a power system, and when the power equipment is damaged, the whole power system is subjected to large economic loss. Therefore, it is necessary for economic efficiency and safety to be able to grasp the detailed states of the respective electric devices and to evaluate the service lives of the electric devices based on the states of the electric devices.
According to the current service life assessment method for the power equipment, after the equipment is assessed, a worker can only obtain the current remaining service life of the power equipment, the worker cannot timely know the maintenance condition of the equipment, more inconvenience is brought in the actual use process, and the working efficiency is low.
Disclosure of Invention
The invention aims to provide a method for evaluating the whole service life of power equipment, which has the characteristic of improving the working efficiency.
The above object of the present invention is achieved by the following technical solutions:
a power equipment life expectancy assessment method comprises the following steps:
acquiring current use data;
obtaining prediction data according to the current use data;
and determining the equipment information to be overhauled according to the prediction data.
By adopting the technical scheme, when the power equipment needs to be detected, the current use data of the equipment is firstly acquired, the prediction data of the equipment in the current state is acquired according to the current use data, the state of the equipment is identified according to the prediction data, when the prediction data is in a certain condition, the equipment information corresponding to the prediction data is defined as the equipment information to be overhauled, and a worker can know whether the equipment corresponding to the equipment information needs to be overhauled after the service life of the equipment is evaluated, so that the working efficiency is improved.
Preferably, the method for acquiring the current usage data includes:
presetting a plurality of equipment type information and data types of current use data corresponding to each equipment type information one by one;
presetting an input device and a first detection trigger signal;
selecting current equipment type information;
a plurality of input areas corresponding to the equipment type information one by one are preset on the input device;
sampling and detecting from the device to form a plurality of current detailed usage data;
presetting a detection preset time period;
and taking the moment when the first detection trigger signal is sent out as the starting point of a detection preset time period, and inputting the current detailed use data into an input area corresponding to the current equipment type information in the detection preset time period to form the current use data.
By adopting the technical scheme, the service life of the equipment of various types can be evaluated by presetting the equipment type information and the data type of the current use data corresponding to each equipment type information one by one, so that the use convenience of the method is improved. After the first detection trigger signal is sent out, the moment when the first detection trigger signal is sent out is used as the starting point of the detection preset time period, the current detailed use data are input through the plurality of input areas to form the current use data, and the data are input in the preset time period, so that the timeliness of the input of the current use data can be well guaranteed.
Preferably, the method for selecting the current device category information includes:
presetting device identification information corresponding to the device type information one by one;
acquiring selection information;
matching the selection information with the equipment identification information;
and defining the equipment type information corresponding to the successfully matched equipment identification information as the current equipment type information.
By adopting the technical scheme, the equipment identification information and the selection information which correspond to the equipment type information one to one are set, when the selection information is sent out, the selection information is matched with the equipment identification information, the equipment type information corresponding to the equipment identification information which is successfully matched with the selection information is defined as the current equipment type information, so that a worker can conveniently select the equipment type which needs to be detected, and the current detailed use data can be conveniently input and evaluated.
Preferably, the method for acquiring the current usage data includes:
each device type information is correspondingly preset with a plurality of device information;
setting equipment information corresponding to the current equipment type information in batches;
and randomly selecting equipment information in each batch of equipment information, and sampling and detecting a plurality of key parts corresponding to the equipment information to form a plurality of current detailed use data.
By adopting the technical scheme, the equipment of the same type is arranged in batches, one equipment in each batch is extracted for detection, and the current use data is recorded, so that the detection workload is reduced, and the working efficiency is improved.
Preferably, the method for setting the same equipment in batches comprises the following steps:
numbering a plurality of pieces of equipment information in the current equipment type information according to preset priorities to form equipment number information;
arranging the equipment numbering information according to an ascending order to form an equipment numbering sequence;
and dividing the equipment number sequence into a plurality of equipment number subsequences according to the preset quantity of the equipment number information contained in each batch.
By adopting the technical scheme, the equipment information in the current equipment type information is numbered according to the preset priority to form the equipment number information, then the equipment number information is arranged in an ascending order to form the equipment number sequence, the dust numbering subsequences of the equipment number sequence are numbered according to the number of the preset equipment number information of each batch, the equipment information in the current equipment type information can be sequenced according to the preset conditions and set in batches, and the working efficiency is improved.
Preferably, the method for selecting one type of equipment information from each batch of equipment type information includes:
randomly selecting equipment number information from each equipment number subsequence;
and determining the equipment information corresponding to the equipment number information according to the equipment number information.
By adopting the technical scheme, one piece of equipment number information is randomly selected from each equipment number subsequence, and the equipment information corresponding to the equipment number information is selected according to the equipment number information, so that all equipment does not need to be detected, the working steps are reduced, and the working efficiency is improved.
Preferably, the method for determining the equipment to be overhauled according to the prediction data comprises,
presetting a life threshold;
comparing the value of the forecast data derived from the selected equipment information for the batch with a life threshold;
if the value of the predicted data obtained by the selected equipment information in the batch is smaller than the life threshold, obtaining the predicted data of the equipment corresponding to all the equipment information in the batch, and comparing the predicted data of the equipment corresponding to all the equipment information in the batch with the life threshold;
and defining the equipment type information of which the value of the predicted data is smaller than the service life threshold value as the equipment information to be overhauled.
By adopting the technical scheme, if the predicted data of the equipment of the batch which is randomly inspected is smaller than the service life threshold, the residual service life of the equipment is not in accordance with the standard, the possibility that the equipment of the same batch is in an out-of-standard state is high, the batch is inspected and evaluated in detail, the equipment of which the predicted data value is smaller than the service life threshold is defined as the equipment to be overhauled, and the use convenience is improved.
Preferably, the method further comprises the following steps:
presetting part information corresponding to the current detailed use data;
presetting a threshold range corresponding to current detailed use data corresponding to each type of equipment information;
comparing the current detailed use data of the equipment information to be overhauled with a threshold range;
defining current detailed usage data that is not within a threshold range as abnormal usage data;
and acquiring the number of the part information corresponding to each abnormal use data according to the type of the abnormal use data.
By adopting the technical scheme, when the current detailed use data are all in the threshold range, the value of the predicted data is certainly larger than the service life threshold, and when the service life threshold is larger than the value of the predicted data, at least one item of the current detailed use data is out of the threshold range, at the moment, the current detailed use data are detected, and the type and the quantity of abnormal use data are counted, so that corresponding parts can be processed and replaced more specifically.
Preferably, the first and second liquid crystal materials are,
and counting the number of the parts corresponding to each abnormal use data according to the type of the abnormal use data.
By adopting the technical scheme, the number of the parts corresponding to the abnormal use data is counted according to the type and the number of the abnormal use data, the parts are convenient to replace, and the use convenience is improved.
Preferably, the first and second liquid crystal materials are,
presetting prompt information corresponding to the part information one by one;
comparing the number of different types of part information corresponding to the abnormal use data with the preset number of corresponding part information;
and if the number of the different types of part information corresponding to the abnormal use data is larger than the number of the stored corresponding part information, feeding back the prompt information corresponding to the part information.
By adopting the technical scheme, each part corresponds to corresponding prompt information, the number of the parts corresponding to the abnormal use data is compared with the number of the stored parts, when the number of the stored parts is smaller than the number of the parts corresponding to the abnormal use data, the number of the stored parts is insufficient, the parts need to be supplemented in time, the prompt information is sent at the moment, and the use convenience is improved.
The invention also aims to provide an intelligent database system for evaluating the whole service life of the power equipment, which has the characteristic of improving the working efficiency.
The second aim of the invention is realized by the following technical scheme: an intelligent database system for evaluating the service life of electric power equipment comprises,
the data acquisition module is used for acquiring the current use data of the equipment and feeding back the current use data;
the prediction module receives the current use data and obtains prediction data according to the current use data; and the number of the first and second groups,
and the data processing module is used for receiving the prediction data, analyzing and comparing the prediction data and feeding back the prompt information according to the comparison result.
By adopting the technical scheme, when the power equipment needs to be detected, the current use data of the equipment is firstly acquired, the prediction data of the equipment in the current state is acquired according to the current use data, the state of the equipment is identified according to the prediction data, when the prediction data is in a certain condition, the equipment information corresponding to the prediction data is defined as the equipment information to be overhauled, and a worker can know whether the equipment corresponding to the equipment information needs to be overhauled after the service life of the equipment is evaluated, so that the working efficiency is improved.
In summary, the invention includes at least one of the following beneficial technical effects:
1. the current use data are obtained, the prediction data are obtained according to the current use data, and the equipment information needing to be overhauled is determined according to the prediction data, so that the working efficiency is improved;
2. by carrying out batch detection on the same equipment, the working steps are reduced, so that the working efficiency is improved;
3. through presetting the prompt messages corresponding to the part information one by one, the prompt messages corresponding to the part information with insufficient quantity are fed back when the inventory is insufficient, and the working efficiency is improved.
Drawings
FIG. 1 is a block diagram of the overall architecture of one embodiment of the present invention;
FIG. 2 is a schematic flow chart of obtaining current usage data according to one embodiment of the present invention;
FIG. 3 is a flowchart illustrating a process of selecting information of a current device category according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of acquiring current detailed usage data according to one embodiment of the present invention;
FIG. 5 is a flowchart illustrating batch setting of device information corresponding to current device category information according to an embodiment of the present invention;
FIG. 6 is a flow chart illustrating the process of selecting one piece of equipment information from each batch of equipment information according to an embodiment of the present invention;
FIG. 7 is a flow chart illustrating the process of obtaining forecast data based on current usage data according to one embodiment of the present invention;
FIG. 8 is a flow chart illustrating the process of determining information about equipment to be serviced based on forecast data according to an embodiment of the present invention;
FIG. 9 is a flowchart illustrating an embodiment of obtaining forecast data for equipment corresponding to information of all equipment in the lot;
FIG. 10 is a flow chart illustrating the feedback of the prompt message according to an embodiment of the present invention;
fig. 11 is a schematic diagram of the overall structure of the system of the present invention.
In the figure, 1, a data acquisition module, 2 and a prediction module; 3. and a data processing module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The embodiment of the invention provides a method for evaluating the whole service life of power equipment, which comprises the following steps: acquiring current use data; obtaining prediction data according to the current use data; and determining the equipment information to be overhauled according to the prediction data.
In the embodiment of the invention, different prediction models corresponding to a plurality of pieces of equipment type information are preset in the database, when the service life of the equipment needs to be evaluated, the equipment type information corresponding to the equipment is selected, then the current use data of the equipment is obtained, the current use data is input into the prediction model corresponding to the equipment use information, and the prediction data corresponding to the current use data is output. And comparing the value of the predicted data with a preset service life threshold, and if the value of the predicted data is smaller than the service life threshold, determining that the service life of the equipment reaches a set period and further processing the equipment is required.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present invention will be described in further detail with reference to the drawings attached hereto.
The embodiment of the invention provides a method for evaluating the total life of power equipment.
As shown in fig. 1:
step 1000: current usage data is obtained.
The current usage data may vary from device to device, and may include a variety of different current detailed usage data including, but not limited to, various current detailed usage data obtained by sampling a representative portion of the device, performing appropriate performance tests on the sample, and performing tissue port condition analysis, chemical composition analysis, and carbide analysis, among others. The representative parts of the equipment refer to parts which are important for the operation of the equipment and parts which have high influence on the service life of the equipment.
With reference to figure 2 of the drawings,
step 1100: a plurality of pieces of equipment category information and a data type of current usage data one-to-one corresponding to each piece of equipment category information are preset.
The variety of the power equipment is various, and the data required to be collected for service life evaluation of each different power equipment is different. And the data types of the current detailed use data required by the current use data corresponding to the various kinds of equipment are in one-to-one correspondence and stored in a database.
Step 1200: presetting an input device and a first detection trigger signal.
The input device may be an intelligent input terminal, such as an electronic screen with touch function or an input device with a keyboard. The first detection trigger signal is an external trigger, and can be a trigger by clicking a mouse or a selection by a touch screen.
Step 1300: current device class information is selected.
With reference to figure 3 of the drawings,
the method for selecting the current equipment category information comprises the following steps:
step 1310: and presetting device identification information corresponding to the device type information one by one.
Step 1320: and acquiring selection information.
Step 1330: and matching the selection information with the equipment identification information.
The selection information is externally triggered, and can be triggered by clicking a mouse or selected through a touch screen.
Step 1340: and defining the equipment type information corresponding to the successfully matched equipment identification information as the current equipment type information.
Step 1400: a plurality of input areas corresponding to the equipment type information one by one are preset on the input device.
Step 1500: samples are taken from the device and tested to form a plurality of current detailed usage data.
With reference to figure 4 of the drawings,
the method for acquiring the current detailed use data comprises the following steps:
step 1510: a plurality of pieces of equipment information are preset correspondingly to each piece of equipment type information.
Step 1520: and setting the equipment information corresponding to the current equipment type information in batches.
With reference to figure 5 of the drawings,
the method for setting the equipment information corresponding to the current equipment type information in batches comprises the following steps:
step 1521: and numbering the plurality of pieces of equipment information in the current equipment type information according to a preset priority to form equipment number information.
And recording the time of the equipment entering the factory building into the equipment information, using the time as a sequencing basis of the priority, and numbering the time in the equipment information according to an ascending sequence or a descending sequence to form equipment numbering information.
Step 1522: the device number information is arranged in ascending order to form a device number sequence.
Step 1523: and dividing the equipment number sequence into a plurality of equipment number subsequences according to the preset quantity of the equipment number information contained in each batch.
And when the number of the equipment number information contained in each batch is preset, setting according to the number corresponding to the equipment information corresponding to the current equipment type information prestored in the database, wherein the number of the equipment number information contained in each batch is set to be ten.
Step 1530: and randomly selecting equipment information from each batch of equipment information, and sampling and detecting parts of equipment corresponding to the equipment information to form a plurality of current detailed use data.
Referring to fig. 6, the method of selecting one piece of equipment information from each batch of equipment information includes:
step 1531: randomly selecting one piece of equipment number information from each equipment number subsequence.
Step 1532: and determining the equipment information corresponding to the equipment number information according to the equipment number information.
Step 1600: and presetting a detection preset time period.
Step 1700: and taking the moment when the first detection trigger signal is sent out as the starting point of a detection preset time period, and inputting the current detailed use data into an input area corresponding to the current equipment type information in the detection preset time period to form the current use data.
After the first detection trigger signal is sent out, a user needs to input the current detailed use data corresponding to the equipment type into the corresponding input area within a detection preset time period, and the current detailed use data is transmitted to the database in a wired and/or wireless transmission mode to be stored and form the current use data.
Step 2000: prediction data is obtained from the current usage data.
With reference to figure 7 of the drawings,
the method for obtaining the prediction data according to the current use data comprises the following steps:
step 2100: and constructing a prediction model corresponding to the equipment type information one by one.
The evaluation means adopted when the life evaluation is performed is different for different types of equipment. Taking a power transformer as an example, six aspects of state parameters of gas chromatography analysis, electrical test characteristics, insulating oil analysis, insulating paper polymerization degree, furfural content analysis and winding mechanical strength analysis need to be carried out on the power transformer so as to evaluate the service life of the power transformer. And when the first detection trigger signal is sent out, the type information of the equipment to be evaluated can be determined according to the selection of the user on the selection area, and then the prediction model corresponding to the type information of the equipment is called.
Step 2200: the current usage data is input into the predictive model and the predictive data is output.
After the current use data is input into the database through the input device, the current use data is transmitted into a prediction model corresponding to the equipment type information in a wired and/or wireless transmission mode, and the prediction model processes the input current use data according to self setting and outputs the prediction data. The predicted data refers to the remaining life of the equipment analyzed and evaluated according to the current use data.
Step 3000: and determining the equipment information to be overhauled according to the prediction data.
With reference to figure 8 of the drawings,
step 3100: a preset life threshold.
The life threshold refers to the minimum time remaining in the life of the equipment, and when the life of the equipment is less than or equal to the life threshold, the equipment needs to be replaced by parts and the like so as not to affect the normal use of the equipment.
Step 3200: the value of the forecast data derived from the equipment information selected for the lot is compared to a life threshold.
Step 3210: if the value of the prediction data is equal to or greater than the lifetime threshold, the equipment information of the lot in which the equipment information is located is determined as qualified equipment information.
Step 3220: if the value of the predicted data obtained from the selected equipment information in the batch is smaller than the life threshold, obtaining the predicted data of the equipment corresponding to all the equipment information in the batch, and comparing the predicted data of the equipment corresponding to all the equipment information in the batch with the life threshold.
With reference to figure 9 of the drawings,
the method for acquiring the prediction data of the equipment corresponding to all the equipment information in the batch comprises the following steps:
step 3221: presetting a second detection trigger signal and inputting a termination signal.
Step 3222: and inputting the current use data of the equipment corresponding to the batch of equipment information through an input device.
The second detection trigger signal and the input termination signal are external triggers, and can be triggered by clicking a mouse or selecting through a touch screen. The second detection trigger signal is used for switching when all the current detailed use data of the batch are input. When the predicted data of all the devices corresponding to the device information in the batch needs to be acquired, the second detection trigger signal is output to indicate that the input of the current detailed use data of the device is finished, the input device transmits the input current detailed use data of the device corresponding to the device information to the database in a wired and/or wireless transmission mode and stores the data, and the input state of the current detailed use data of the device corresponding to the next device information is automatically switched to. And when the current detailed use data of the equipment corresponding to the equipment information in the batch are completely input, sending an input termination signal to indicate that the current use data of the equipment corresponding to the equipment information in the batch are completely input, and stopping inputting.
Step 3223: and inputting the current use data of the equipment corresponding to the information of all the equipment in the batch into a prediction model to obtain prediction data.
Step 3230: and if the value of the predicted data is smaller than the service life threshold value, defining the equipment information corresponding to the predicted data as the equipment information needing to be overhauled.
Step 4000: and feeding back preset prompt information corresponding to the part information one by one according to the equipment information to be overhauled and the preset part information.
With reference to figure 10 of the drawings,
step 4100: the part information corresponding to the current detailed usage data is preset.
Step 4200: a threshold range corresponding to the current detailed usage data corresponding to each device type information is preset.
The current detailed use data corresponding to each kind of equipment is preset with a normal use range, and when the value of the current detailed use data is within the threshold range, the value of the predicted data of the equipment is certainly greater than or equal to the life threshold. When the value of the predicted data of the device is less than the lifetime threshold, at least one item of the current detailed usage data is not within the threshold range.
Step 4300: and comparing each current detailed use data of the equipment information to be overhauled with a threshold range, and if the current detailed use data is not in the threshold range, defining the current detailed use data as abnormal use data.
Step 4400: and acquiring the number of the part information corresponding to each abnormal use data according to the type of the abnormal use data.
Step 4500: and presetting prompt information corresponding to the part information one by one.
Step 4600: and comparing the type and the number of the part information corresponding to the abnormal use data with the type and the number of the preset corresponding part information.
Step 4700: and if the number of the different types of part information corresponding to the abnormal use data is larger than the number of the stored corresponding part information, feeding back the prompt information corresponding to the part information.
If the value of a certain current detailed use data is out of the threshold range, the part corresponding to the current detailed use data can be judged to have a quality problem and needs to be replaced. And counting the types and the number of the parts prestored in the warehouse and prestoring the number of each type of part into part information.
The prompt information comprises prompt voice information, the prompt information corresponds to each part one by one, and the corresponding relation of the prompt information and each part is preset in the database and used for reminding that the number of the parts stored in the warehouse is insufficient. The feedback mode is to feed back through a voice playing mode, and the feedback device is a device capable of playing voice information, including but not limited to other playing devices such as a sound, a mobile phone, a speaker, and the like.
Based on the same invention concept, the embodiment of the invention provides an intelligent database system for evaluating the whole service life of power equipment, which comprises a data acquisition module 1, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring current use data of the equipment and feeding back the current use data; the prediction module 2 receives the current use data and obtains prediction data according to the current use data; and the data processing module 3 is used for receiving the prediction data, analyzing and comparing the prediction data and feeding back the prompt information according to the comparison result.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present invention, and should not be construed as limiting the present invention. Those skilled in the art should also appreciate that they can easily conceive of various changes and substitutions within the technical scope of the present disclosure.
Claims (10)
1. A method for assessing the total life of an electric power device is characterized by comprising the following steps:
acquiring current use data;
obtaining prediction data according to the current use data;
and determining the equipment information to be overhauled according to the prediction data.
2. The method for assessing the full life of an electric power device according to claim 1, wherein the method for acquiring the current usage data comprises:
presetting a plurality of equipment type information and data types of current use data corresponding to each equipment type information one by one;
presetting an input device and a first detection trigger signal;
selecting current equipment type information;
a plurality of input areas corresponding to the equipment type information one by one are preset on the input device;
sampling and detecting from the device to form a plurality of current detailed usage data;
presetting a detection preset time period;
and taking the moment when the first detection trigger signal is sent out as the starting point of a detection preset time period, and inputting the current detailed use data into an input area corresponding to the current equipment type information in the detection preset time period to form the current use data.
3. The method for evaluating the service life of the power equipment according to claim 2, wherein the method for selecting the current equipment category information comprises:
presetting device identification information corresponding to the device type information one by one;
acquiring selection information;
matching the selection information with the equipment identification information;
and defining the equipment type information corresponding to the successfully matched equipment identification information as the current equipment type information.
4. The method for assessing the full life of the power equipment according to claim 2, wherein the method for acquiring the current detailed usage data comprises:
each device type information is correspondingly preset with a plurality of device information;
setting equipment information corresponding to the current equipment type information in batches;
and randomly selecting equipment information in each batch of equipment information, and sampling and detecting a plurality of key parts corresponding to the equipment information to form a plurality of current detailed use data.
5. The method for assessing the full life of an electric power equipment according to claim 4, wherein the method for setting the same equipment in batches comprises:
numbering a plurality of pieces of equipment information in the current equipment type information according to preset priorities to form equipment number information;
arranging the equipment numbering information according to an ascending order to form an equipment numbering sequence;
and dividing the equipment number sequence into a plurality of equipment number subsequences according to the preset quantity of the equipment number information contained in each batch.
6. The method for assessing the full-life of electric power equipment according to claim 5, wherein the method for selecting one piece of equipment information from each batch of equipment information comprises:
randomly selecting equipment number information from each equipment number subsequence;
and determining the equipment information corresponding to the equipment number information according to the equipment number information.
7. The power equipment life expectancy assessment method according to claim 4, characterized in that the method for determining the equipment information to be overhauled according to the forecast data comprises,
presetting a life threshold;
comparing the value of the forecast data derived from the selected equipment information for the batch with a life threshold;
if the value of the predicted data obtained by the selected equipment information in the batch is smaller than the life threshold, obtaining the predicted data of the equipment corresponding to all the equipment information in the batch, and comparing the predicted data of the equipment corresponding to all the equipment information in the batch with the life threshold;
and defining the equipment type information of which the value of the predicted data is smaller than the service life threshold value as the equipment information to be overhauled.
8. The method for assessing the full life of the power equipment according to claim 2, further comprising:
presetting part information corresponding to the current detailed use data;
presetting a threshold range corresponding to current detailed use data corresponding to each type of equipment information;
comparing the current detailed use data of the equipment information to be overhauled with a threshold range;
defining current detailed usage data that is not within a threshold range as abnormal usage data;
and acquiring the number of the part information corresponding to each abnormal use data according to the type of the abnormal use data.
9. The method for assessing the full life of an electric power device according to claim 8, further comprising:
presetting prompt information corresponding to the part information one by one;
comparing the number of different types of part information corresponding to the abnormal use data with the preset number of corresponding part information;
and if the number of the different types of part information corresponding to the abnormal use data is larger than the number of the stored corresponding part information, feeding back the prompt information corresponding to the part information.
10. An intelligent database system for evaluating the service life of electric power equipment is characterized by comprising,
the data acquisition module (1) is used for acquiring the current use data of the equipment and feeding back the current use data;
the prediction module (2) receives the current use data and obtains prediction data according to the current use data; and the number of the first and second groups,
and the data processing module (3) is used for receiving the prediction data, analyzing and comparing the prediction data and feeding back the prompt information according to the comparison result.
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Application publication date: 20201211 |