CN112668772B - State development trend prediction method, device, equipment and storage medium - Google Patents
State development trend prediction method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a state development trend prediction method, a state development trend prediction device, state development trend prediction equipment and a computer-readable storage medium, wherein the state development trend prediction method comprises the following steps: determining target equipment to be subjected to state development trend prediction and an index representing the state of the target equipment; acquiring historical values of all indexes, and correspondingly calculating standard change rates of all indexes according to the historical values of all indexes; acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index; determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index; and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time. According to the technical scheme, the state development trend of the target equipment is determined, so that whether abnormal conditions such as overrun and the like occur in the target equipment or not can be known in advance according to the state development trend of the target equipment, and measures can be taken in advance to process the abnormal conditions.
Description
Technical Field
The present disclosure relates to the field of thermal power generating unit monitoring technologies, and in particular, to a state development trend prediction method, apparatus, device, and computer readable storage medium.
Background
When important power generation equipment such as a thermal power generating unit is monitored, the conventional method is to acquire the state parameters of the equipment in real time, and compare the real-time state parameters with set alarm values so as to find out important information such as abnormal parameters of the equipment in time, thereby providing time margin for operation adjustment or event handling of the equipment.
However, the above process only characterizes the current state of the device, so that abnormal conditions such as overrun of the device cannot be known in advance.
In summary, how to know abnormal conditions such as overrun of the device in advance is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the foregoing, an object of the present application is to provide a state development trend prediction method, apparatus, device, and computer-readable storage medium, for enabling to know in advance abnormal conditions such as overrun of the device.
In order to achieve the above object, the present application provides the following technical solutions:
a state development trend prediction method comprises the following steps:
determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment;
acquiring historical values of the indexes, and correspondingly calculating standard change rates of the indexes according to the historical values of the indexes;
acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index;
determining the quantity of inflection points of each index in preset time according to the real-time change rate of each index and the corresponding standard change rate;
and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
Preferably, after calculating the standard change rate of each index according to the historical value correspondence of each index, the method further comprises:
and receiving a user correction instruction, and correcting the standard change rate of the selected index according to the user correction instruction.
Preferably, before determining the target device to be subjected to the state development trend prediction, the method further includes:
establishing a database corresponding to the equipment; wherein the database contains basic information of the equipment;
accordingly, determining the target device to be subjected to state development trend prediction includes:
and retrieving the target equipment from the database according to the basic information of the target equipment.
Preferably, establishing a database corresponding to the device includes:
establishing a device tree by taking a large area, a company, a unit and a system as nodes; the node corresponding to the large area is a father node of the node corresponding to the company, the node corresponding to the company is a father node of the node corresponding to the unit, the node corresponding to the unit is a father node of the node corresponding to the system, and the node corresponding to the system contains the equipment and basic information of the equipment.
Preferably, after determining the number of inflection points of each index in the preset time according to the real-time change rate and the corresponding standard change rate of each index, the method further includes:
and determining the state development trend of the target unit according to the quantity of inflection points of the indexes corresponding to the target devices contained in the target unit in a preset time.
Preferably, according to the number of inflection points of each index of the target device in the preset time, the state development trend of the target device is obtained, including:
and obtaining a radar chart corresponding to the target equipment according to the quantity of inflection points corresponding to the indexes in the target equipment, and determining the state development trend of the target equipment according to the radar chart.
Preferably, after determining the state development trend of the target device according to the radar chart, the method further includes:
and performing overall view display on the target equipment, wherein the overall view display content comprises a radar chart of the target equipment, a state development trend result of the target equipment, an index list of the target equipment, acceleration of each index at an inflection point, inflection point occurrence time of each index, standard change rate of each index and deviation degree of each index.
A state development trend prediction apparatus, comprising:
the first determining module is used for determining target equipment to be subjected to state development trend prediction and determining an index representing the state of the target equipment;
the first acquisition module is used for acquiring the historical values of the indexes and correspondingly calculating the standard change rate of the indexes according to the historical values of the indexes;
the second acquisition module is used for acquiring the current value of each index and correspondingly calculating the real-time change rate of each index according to the current value of each index;
the second determining module is used for determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index;
the state development trend obtaining module is used for obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
A state development trend prediction apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the state development trend prediction method according to any one of the above when executing the computer program.
A computer readable storage medium having a computer program embodied therein, which when executed by a processor, performs the steps of the state development trend prediction method according to any one of the preceding claims.
The application provides a state development trend prediction method, a state development trend prediction device and a computer readable storage medium, wherein the state development trend prediction method comprises the following steps: determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment; acquiring historical values of all indexes, and correspondingly calculating standard change rates of all indexes according to the historical values of all indexes; acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index; determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index; and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
According to the technical scheme, the target equipment to be subjected to state development trend prediction and the index for representing the state of the target equipment are determined, then, the standard change rate of each index is correspondingly calculated according to the obtained historical value of each index, the real-time change rate of each index is correspondingly calculated according to the obtained current value of each index, the quantity of inflection points of each index in the preset time is respectively determined according to the real-time change rate of each index and the corresponding standard change rate of each index, and then, the state development trend of the target equipment is determined according to the quantity of inflection points of each equipment of the target equipment in the preset time, so that the state development condition and the fluctuation condition of the target equipment can be obtained in advance according to the state development trend of the target equipment, whether abnormal conditions such as overrun and the like can occur in advance can be conveniently obtained, and related personnel can take measures to conduct treatment before abnormal conditions such as overrun occur in the target equipment, and the stability and the reliability of equipment operation can be conveniently improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings may be obtained according to the provided drawings without inventive effort to a person skilled in the art.
Fig. 1 is a flowchart of a state development trend prediction method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a state development trend prediction apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a state-development trend prediction apparatus according to an embodiment of the present application.
Detailed Description
At present, the power industry of China monitors important power generation equipment through various information and control systems, and conventionally, equipment state parameters are acquired in real time by installing sensors, on-line meters and the like on important power generation equipment such as thermal power units and the like, basic data are formed by accessing the information systems, and then important information such as abnormal equipment parameters and the like is found in time by configuring limit value alarms or rule alarms on the basic data, and generally, alarm values are often lower than the allowable value or normal value range of the equipment so as to find the abnormal equipment parameters in advance, so that a time margin is provided for operation adjustment or event treatment. On one hand, the real-time indicator overrun warning of the equipment is usually transient, random and deterministic events, the current state of the equipment can be represented only, for specific operation or supervision personnel, the indicator overrun warning information can be only passively received, the problem correction can be passively carried out, various problems such as untimely adjustment, insufficient maintenance period, insufficient spare parts and the like often occur, so that part of important equipment or parts are forced to operate with defects, the states of the equipment are uncontrollable, the risk level of a unit is obviously improved, on the other hand, the conventional equipment monitoring system cannot be combined with the historical state of the equipment indicator, the quantitative calculation and display of the indicator stability can not be carried out when the indicator is not overrun, and the pre-judgment of the equipment indicator overrun can not be carried out.
Therefore, the technical scheme can predict the state development trend of the equipment so as to know abnormal conditions such as overrun of the equipment in advance.
In order to make the technical solution more clearly understood by those skilled in the art, the technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, which is a flowchart illustrating a state development trend prediction method provided by an embodiment of the present application, the state development trend prediction method provided by the embodiment of the present application may include:
s11: and determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment.
When the state development trend prediction is performed, the target device to be performed with the state development trend prediction may be determined first, and an index capable of representing the state of the target device may be determined.
The method comprises the steps of configuring indexes of target equipment through a management page, specifically, managing the indexes of newly added target equipment or configured target equipment, performing basic operations such as adding, deleting, refreshing, searching and the like on the indexes, and selecting required indexes in an index database through searching, page turning and the like after clicking an 'adding' button, wherein the index database contains information such as index names, codes, classification names, classification codes and the like, and the associated index parameter area of the index management page displays detailed information of the configured indexes. After the indexes are configured, the equipment nodes can be selected, the indexes are edited, and all indexes representing the states of the target equipment are filtered according to the power generation company.
S12: and acquiring the historical values of the indexes, and correspondingly calculating the standard change rate of the indexes according to the historical values of the indexes.
After the indexes representing the states of the target devices are configured and determined, the historical values of the indexes can be obtained, and the standard change rate of the indexes is correspondingly calculated according to the historical values of the indexes.
In calculating the standard change rate, the start time, the end time and the calculation mode of the rate calculation (specifically, selecting the minimum value, the maximum value or the average value according to the index type to calculate) may be selected, and then, the standard change rate calculation may be performed by using the obtained historical value according to the calculation mode mentioned above.
In addition, a corresponding index data table may be established for the index, and the calculated standard change rate may be displayed in a corresponding cell in the index data table after the standard change rate calculation is completed. Meanwhile, a trigger for adding index insertion, index updating and index deletion to the index data table can be used, whether the change of the index data needs to be recalculated or not is judged through the trigger, and if not, the operation is stopped. And re-acquiring the current data and the next data for index insertion and index updating, re-calculating the next data when the index is deleted, and calculating the time interval recorded before and after, wherein the missing data can be automatically simulated and generated in consideration of the abnormal condition that the data is missing in the middle.
S13: and obtaining the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index.
After determining the index of the target device, the current value of each index at each time point in the selected time range can be obtained, and the real-time change rate of each index is calculated according to the current value of each index in the selected time range.
S14: and determining the quantity of inflection points of each index in preset time according to the real-time change rate of each index and the corresponding standard change rate.
After the real-time change rate of each index is calculated, the real-time change rate of each index can be compared with the corresponding standard change rate, whether inflection points are generated or not is judged, and the number of inflection points of each index in preset time is counted.
When judging whether to generate the inflection point, judging from three aspects of absolute rate, positive rate and negative rate, namely judging the index degradation trend from the aspects of absolute value, positive value and negative value, wherein for the index for judging the inflection point by utilizing the absolute rate, the inflection point is the inflection point if the real-time change rate is larger or smaller than the absolute value of the standard change rate, for the index for judging the inflection point by utilizing the positive rate, the inflection point is the inflection point if the real-time change rate is larger than the standard change rate, and for the index for judging the inflection point by utilizing the negative rate, the inflection point is the inflection point if the real-time change rate is smaller than the standard change rate.
After the number of inflection points of each index in the preset time is determined, a list and a statistical graph of the inflection points can be displayed, whether the change of each index data needs to be recalculated or not can be judged according to the time type, two data before and after are acquired, the time interval recorded before and after is calculated, and the calculation of the real-time change rate is carried out according to the time interval, wherein if the abnormal condition of data missing exists in the middle, the simulation generation of the missing data can be automatically carried out.
It should be noted that, after comparing the real-time change rate of the index with the corresponding standard change rate, the real-time standard rate and the comparison result may be stored in the index rate library, so as to facilitate subsequent viewing and obtaining of the relevant information.
S15: and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
After step S14 is performed, the state development trend of the target device may be predicted according to the number of inflection points of each index of the target device in a preset time, so as to determine whether the state of the target device develops in a good direction or in a degradation direction according to the state development trend of the target device, so that a user can determine the overrun condition of the target device according to the state development trend of the target device in time, and can take measures to delay and process before the overrun of the target device occurs.
According to the technical scheme, the target equipment to be subjected to state development trend prediction and the index for representing the state of the target equipment are determined, then, the standard change rate of each index is correspondingly calculated according to the obtained historical value of each index, the real-time change rate of each index is correspondingly calculated according to the obtained current value of each index, the quantity of inflection points of each index in the preset time is respectively determined according to the real-time change rate of each index and the corresponding standard change rate of each index, and then, the state development trend of the target equipment is determined according to the quantity of inflection points of each equipment of the target equipment in the preset time, so that the state development condition and the fluctuation condition of the target equipment can be obtained in advance according to the state development trend of the target equipment, whether abnormal conditions such as overrun and the like can occur in advance can be conveniently obtained, and related personnel can take measures to conduct treatment before abnormal conditions such as overrun occur in the target equipment, and the stability and the reliability of equipment operation can be conveniently improved.
The state development trend prediction method provided in the embodiment of the present application may further include, after correspondingly calculating a standard change rate of each index according to the historical value of each index:
and receiving a user correction instruction, and correcting the standard change rate of the selected index according to the user correction instruction.
After the standard change rate of each index is correspondingly calculated according to the historical value of each index, a user revision instruction sent by a user can be received, and the standard change rate of the selected index (determined according to the user revision instruction when the index is selected) can be revised according to the user revision instruction, so that the accuracy of the standard change rate is improved, the accuracy of inflection point judgment is improved conveniently, and the accuracy of equipment state development trend prediction is improved conveniently.
The method for predicting the state development trend provided in the embodiment of the present application may further include, before determining the target device to be subjected to state development trend prediction:
establishing a database corresponding to the equipment; wherein, the database contains the basic information of the equipment;
accordingly, determining the target device to be subjected to the state development trend prediction may include:
and retrieving the target device from the database according to the basic information of the target device.
Before determining the target device to be subjected to state development trend prediction, a database corresponding to multiple devices can be established, wherein the established database contains basic information of the multiple devices, and the basic information of the devices can specifically include power generation companies, device codes, device descriptions (specifically, selection can be performed on interfaces), device names, universal device names and the like. When the database is built, the devices in the database can be classified so as to facilitate the management and retrieval of the devices. In addition, the established database can be configured with indexes corresponding to the equipment, the index configuration information can specifically comprise names of power generation companies, units, systems, equipment and the like to which the equipment belongs, common equipment names, object codes, the number of associated indexes, serial numbers and the like, and the configuration information of the selected single equipment index can be operated, wherein the operation mode at least comprises basic functions such as adding, storing, refreshing and the like, and the retrieval by the equipment names and the common equipment names is supported. It should be noted that after the database is built, the device may be newly added, and when the device is newly added, the original power generation company, the unit and the device classification information may be automatically brought into the database, where the newly added device may be derived from the device catalog, and when the device is newly added, the power generation company (default), the device code and the device description (selection on the interface) retrieve the target device, classify the generic device, store and display the generic device in the database synchronously, and when the generic device is selected, determine whether to repeat, and perform the next operation according to the determination prompt, and the configured device information may be multiplexed to other units.
After the database is established, the target device may be retrieved from the database according to the basic information of the target device for which the state development trend prediction is to be performed, so as to predict the state development trend of the target device.
The method for predicting the state development trend provided by the embodiment of the application, which establishes a database corresponding to the equipment, may include:
establishing a device tree by taking a large area, a company, a unit and a system as nodes; the nodes corresponding to the large area are father nodes of nodes corresponding to the company, the nodes corresponding to the company are father nodes of nodes corresponding to the unit, the nodes corresponding to the unit are father nodes of nodes corresponding to the system, and the nodes corresponding to the system contain equipment and basic information of the equipment.
When a database corresponding to the equipment is built, an equipment tree can be built by taking a large area, a company, a unit and a system as nodes, in the equipment tree, the node corresponding to the large area is a father node of the node corresponding to the company, the node corresponding to the company is a father node of the node corresponding to the unit, the node corresponding to the unit is a father node of the node corresponding to the system, the node corresponding to the system comprises the equipment and basic information of the equipment, namely, the corresponding equipment tree can be built by four layers of the large area, the company, the unit and the system, the system layer comprises target equipment for state development trend prediction, the catalog level is clicked, corresponding detailed pages can be entered, the equipment names can be modified, equipment index configuration information can be synchronously displayed on a right page, and after general equipment class classification and storage are carried out, the equipment index configuration information can be displayed in the equipment number.
The method for predicting the state development trend provided by the embodiment of the application may further include, after determining the number of inflection points of each index in a preset time according to the real-time change rate and the corresponding standard change rate of each index, respectively:
and determining the state development trend of the target unit according to the quantity of inflection points of each index corresponding to each target device contained in the target unit in a preset time.
After the number of inflection points of each index in the preset time is determined according to the real-time change rate of each index and the corresponding standard change rate, the state development trend of the target unit can be determined according to the number of inflection points of each index corresponding to each target device (namely, each device contained in the target unit) contained in the target unit in the preset time, so that the state development condition of the target unit can be determined according to the state development trend of the target unit, the user can find abnormal conditions such as unit overrun in advance, and measures can be taken to cope with the abnormal conditions such as overrun of the unit.
After the state development trend of the target unit is generated, a device state development table of the unit can be generated, wherein an abscissa can be a name of a power generation company and a unit to which specific devices belong, an ordinate can be a common name of the devices to be monitored, display content is the number of index degradation inflection points to which the devices belong, and the number of clicking inflection points can jump to a detail display page, and a development result can be retrieved according to the company name, the device name and a time interval. The device name list can be obtained from a general device list, the public column is arranged behind the unit and exists as a fixed column, the power generation company, the unit and the device are displayed for distinguishing, and the quantity of inflection points in specific cells is displayed. It should be noted that if the generic device is not associated with the group, it is displayed with "-" to be distinguished from 0 (no inflection point), and the click number may jump to the device detail presentation page.
In addition, the application can also perform data isolation, namely, set data viewing authority so that the corresponding organization can only view the relevant data of the units and the equipment and the corresponding state development trend within the authority range, and particularly, see table 1, which shows a data isolation table:
table 1 data isolation table
Meanwhile, personnel can be authorized, so that the personnel can view data in the authorized range, in particular, ordinary personnel can view a device state development table of an affiliated organization, and an authorized user can configure state development function devices, index types, calculation modes and the like.
According to the state development trend prediction method provided by the embodiment of the application, according to the number of inflection points of each index of the target equipment in the preset time, the state development trend of the target equipment can be obtained, which can include:
and obtaining a radar chart corresponding to the target equipment according to the quantity of inflection points corresponding to each index in the target equipment, and determining the state development trend of the target equipment according to the radar chart.
When the state development trend of the target equipment is obtained according to the number of inflection points of each index of the target equipment in the preset time, a radar chart corresponding to the target equipment can be obtained according to the number of inflection points corresponding to each index in the target equipment and the corresponding index, and the state development trend of the target equipment can be determined according to the radar chart.
The state development trend prediction method provided by the embodiment of the present application may further include, after determining the state development trend of the target device according to the radar chart:
and performing overall display on the target equipment, wherein the overall display content can comprise a radar chart of the target equipment, a state development trend result of the target equipment, an index list of the target equipment, acceleration of each index at an inflection point, inflection point occurrence time of each index, standard change rate of each index and deviation degree of each index.
After determining the state development trend of the target device according to the radar map, the target device may be subjected to overall display, where the overall display content may include information such as the radar map of the target device, the state development trend result of the target device, the time type of the target device index, the evaluation time range, the index list of the target device, the number of inflection points, the acceleration at the inflection points, the occurrence time, the standard change rate, the deviation degree, and the like, and may be arranged in order and attribution correspondence.
In the above-mentioned display content, the time types of the indexes at least include year, quarter, month, week, day, irregular and other types, support multi-condition selection, the index list contains all indexes associated with the equipment, and the number of inflection points of each index in a selected time range, and displays the current state development trend and degradation condition of the equipment in the form of a radar graph, wherein the radar graph uses the actual number of inflection points of the indexes as key factors, and each time one type of index inflection point is added, the index dimension can be automatically increased. And the index basic information is automatically displayed, the inflection point quantity statistics can be carried out according to indexes, the larger the radar area is, the more serious the equipment degradation condition is, and the worse the equipment state is. The specific index is selected, the equipment associated index details can be checked, the specific index comprises the past degradation time, inflection point speed, degradation degree and the like of the selected index in the selected time range, and meanwhile, the change trend display of the index in the selected time period is realized. The above-mentioned deviation degree is calculated by the following method: the (value at inflection point-standard change rate)/standard change rate is 100%, inflection point detailed information can be generated in a coordinate graph form according to the actual inflection point quantity, 3 curves are statistically displayed according to the index inflection point quantity, the curves comprise a speed upper limit curve, a speed curve and an original data curve, and the curves can be distinguished according to different colors, wherein the abscissa unit time and the ordinate of the curves are target index units.
When the overall display is performed on the target device, the query of the device state development related information according to the index time type and the time range can be supported.
The embodiment of the application also provides a state development trend prediction device, referring to fig. 2, which shows a schematic structural diagram of the state development trend prediction device provided by the embodiment of the application, and may include:
a first determining module 21, configured to determine a target device to be subjected to state development trend prediction, and determine an index that characterizes a state of the target device;
a first obtaining module 22, configured to obtain a history value of each index, and correspondingly calculate a standard change rate of each index according to the history value of each index;
a second obtaining module 23, configured to obtain a current value of each index, and correspondingly calculate a real-time change rate of each index according to the current value of each index;
the second determining module 24 is configured to determine the number of inflection points of each index in a preset time according to the real-time change rate and the corresponding standard change rate of each index;
the state development trend obtaining module 25 is configured to obtain a state development trend of the target device according to the number of inflection points of each index of the target device in a preset time.
The state development trend prediction device provided in the embodiment of the present application may further include:
and the receiving module is used for receiving a user correction instruction after correspondingly calculating the standard change rate of each index according to the historical value of each index, and correcting the standard change rate of the selected index according to the user correction instruction.
The state development trend prediction device provided in the embodiment of the present application may further include:
the establishing module is used for establishing a database corresponding to the equipment before determining the target equipment to be subjected to state development trend prediction; wherein, the database contains the basic information of the equipment;
accordingly, the first determining module 21 may include:
and the retrieval unit is used for retrieving the target equipment from the database according to the basic information of the target equipment.
The embodiment of the present application provides a state development trend prediction apparatus, and the establishing module may include:
the building unit is used for building a device tree by taking a large area, a company, a unit and a system as nodes; the nodes corresponding to the large area are father nodes of nodes corresponding to the company, the nodes corresponding to the company are father nodes of nodes corresponding to the unit, the nodes corresponding to the unit are father nodes of nodes corresponding to the system, and the nodes corresponding to the system contain equipment and basic information of the equipment.
The state development trend prediction device provided in the embodiment of the present application may further include:
and the third determining module is used for determining the state development trend of the target unit according to the quantity of inflection points of each index corresponding to each target device contained in the target unit in the preset time after determining the quantity of inflection points of each index in the preset time according to the real-time change rate of each index and the corresponding standard change rate.
The state development trend prediction device provided in the embodiment of the present application, the obtained state development trend module 25 may include:
and the state development trend unit is used for obtaining a radar chart corresponding to the target equipment according to the quantity of inflection points corresponding to each index in the target equipment and determining the state development trend of the target equipment according to the radar chart.
The state development trend prediction device provided in the embodiment of the present application, the obtained state development trend module 25 may further include:
the display unit is used for displaying the overall view of the target equipment after determining the state development trend of the target equipment according to the radar chart, wherein the content of the overall view display can comprise the radar chart of the target equipment, the state development trend result of the target equipment, an index list of the target equipment, the acceleration of each index at the inflection point, the inflection point occurrence time of each index, the standard change rate of each index and the deviation degree of each index.
The embodiment of the application also provides a state development trend prediction device, referring to fig. 3, which shows a schematic structural diagram of the state development trend prediction device provided by the embodiment of the application, and may include:
a memory 31 for storing a computer program;
the processor 32, when executing the computer program stored in the memory 31, may implement the following steps:
determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment; acquiring historical values of all indexes, and correspondingly calculating standard change rates of all indexes according to the historical values of all indexes; acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index; determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index; and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium contains a computer program, and the computer program can realize the following steps when being executed by a processor:
determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment; acquiring historical values of all indexes, and correspondingly calculating standard change rates of all indexes according to the historical values of all indexes; acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index; determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index; and obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The description of the relevant parts in the state development trend prediction device, the device and the computer readable storage medium provided in the embodiments of the present application may refer to the detailed description of the corresponding parts in the state development trend prediction method provided in the embodiments of the present application, which is not repeated here.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements is inherent to. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. In addition, the parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of the corresponding technical solutions in the prior art, are not described in detail, so that redundant descriptions are avoided.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. The state development trend prediction method is characterized by comprising the following steps of:
determining target equipment to be subjected to state development trend prediction, and determining an index representing the state of the target equipment;
acquiring historical values of the indexes, and correspondingly calculating standard change rates of the indexes according to the historical values of the indexes;
acquiring the current value of each index, and correspondingly calculating the real-time change rate of each index according to the current value of each index;
determining the quantity of inflection points of each index in preset time according to the real-time change rate of each index and the corresponding standard change rate;
obtaining a state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time;
the determining the number of inflection points of each index in a preset time according to the real-time change rate and the corresponding standard change rate of each index respectively includes: comparing the real-time change rate of each index with the standard change rate corresponding to the real-time change rate, judging whether to generate inflection points, and counting the number of the inflection points of each index in preset time;
the determining whether to generate an inflection point includes: judging from three aspects of absolute rate, positive rate and negative rate; the index for inflection point judgment by using the absolute rate is as follows: if the real-time change rate is larger or smaller than the absolute value of the standard change rate, the real-time change rate is an inflection point; the index for inflection point judgment by using the forward rate is as follows: if the real-time change rate is larger than the standard change rate, the real-time change rate is an inflection point; the index for inflection point judgment by utilizing the negative speed is as follows: and if the real-time change rate is smaller than the standard change rate, the inflection point is obtained.
2. The state-of-development trend prediction method according to claim 1, further comprising, after correspondingly calculating a standard change rate of each of the indices from the historical value of each of the indices:
and receiving a user correction instruction, and correcting the standard change rate of the selected index according to the user correction instruction.
3. The state-of-development trend prediction method according to claim 1, further comprising, before determining the target device to be subjected to state-of-development trend prediction:
establishing a database corresponding to the equipment; wherein the database contains basic information of the equipment;
accordingly, determining the target device to be subjected to state development trend prediction includes:
and retrieving the target equipment from the database according to the basic information of the target equipment.
4. The state development trend prediction method according to claim 3, wherein establishing a database corresponding to the device comprises:
establishing a device tree by taking a large area, a company, a unit and a system as nodes; the node corresponding to the large area is a father node of the node corresponding to the company, the node corresponding to the company is a father node of the node corresponding to the unit, the node corresponding to the unit is a father node of the node corresponding to the system, and the node corresponding to the system contains the equipment and basic information of the equipment.
5. The state development trend prediction method according to claim 1, wherein after determining the number of inflection points of each of the indices within a preset time according to the real-time change rate of each of the indices and the corresponding standard change rate, respectively, further comprises:
and determining the state development trend of the target unit according to the quantity of inflection points of the indexes corresponding to the target devices contained in the target unit in a preset time.
6. The state development trend prediction method according to claim 1, wherein obtaining the state development trend of the target device according to the number of inflection points of each index of the target device in the preset time includes:
and obtaining a radar chart corresponding to the target equipment according to the quantity of inflection points corresponding to the indexes in the target equipment, and determining the state development trend of the target equipment according to the radar chart.
7. The state-of-development trend prediction method according to claim 6, further comprising, after determining the state-of-development trend of the target device from the radar chart:
and performing overall view display on the target equipment, wherein the overall view display content comprises a radar chart of the target equipment, a state development trend result of the target equipment, an index list of the target equipment, acceleration of each index at an inflection point, inflection point occurrence time of each index, standard change rate of each index and deviation degree of each index.
8. A state development trend prediction apparatus, characterized by comprising:
the first determining module is used for determining target equipment to be subjected to state development trend prediction and determining an index representing the state of the target equipment;
the first acquisition module is used for acquiring the historical values of the indexes and correspondingly calculating the standard change rate of the indexes according to the historical values of the indexes;
the second acquisition module is used for acquiring the current value of each index and correspondingly calculating the real-time change rate of each index according to the current value of each index;
the second determining module is used for determining the quantity of inflection points of each index in preset time according to the real-time change rate and the corresponding standard change rate of each index;
the state development trend obtaining module is used for obtaining the state development trend of the target equipment according to the quantity of inflection points of each index of the target equipment in the preset time;
the determining the number of inflection points of each index in a preset time according to the real-time change rate and the corresponding standard change rate of each index respectively includes: comparing the real-time change rate of each index with the standard change rate corresponding to the real-time change rate, judging whether to generate inflection points, and counting the number of the inflection points of each index in preset time;
the determining whether to generate an inflection point includes: judging from three aspects of absolute rate, positive rate and negative rate; the index for inflection point judgment by using the absolute rate is as follows: if the real-time change rate is larger or smaller than the absolute value of the standard change rate, the real-time change rate is an inflection point; the index for inflection point judgment by using the forward rate is as follows: if the real-time change rate is larger than the standard change rate, the real-time change rate is an inflection point; the index for inflection point judgment by utilizing the negative speed is as follows: and if the real-time change rate is smaller than the standard change rate, the inflection point is obtained.
9. A state development trend prediction apparatus, characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the state development trend prediction method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein a computer program is contained in the computer-readable storage medium, and the computer program realizes the steps of the state development trend prediction method according to any one of claims 1 to 7 when executed by a processor.
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| CN114418138B (en) * | 2021-12-06 | 2023-07-04 | 羲和能慧(苏州)科技股份有限公司 | Multi-equipment combined self-checking intelligent power grid operation and maintenance method and system |
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