CN115796582A - Operation risk assessment method and device based on multidimensional data - Google Patents
Operation risk assessment method and device based on multidimensional data Download PDFInfo
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- CN115796582A CN115796582A CN202211471911.3A CN202211471911A CN115796582A CN 115796582 A CN115796582 A CN 115796582A CN 202211471911 A CN202211471911 A CN 202211471911A CN 115796582 A CN115796582 A CN 115796582A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses an operation risk assessment method and device based on multidimensional data, wherein the method comprises the following steps: acquiring operation information of target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information; judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information; and if so, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and the preset operation evaluation condition. Therefore, the method and the device can intelligently realize the function of evaluating the running risk of the equipment, are favorable for improving the comprehensiveness and the scientificity of a running risk evaluation mode of the equipment, and are further favorable for improving the accuracy and the reliability of the determined running risk evaluation result, so that the accuracy and the reliability of the evaluation of the running risk of the equipment are improved, the determination efficiency and the determination convenience of the running risk evaluation result are improved, and the efficiency and the convenience of the evaluation of the running risk of the equipment are improved.
Description
Technical Field
The invention relates to the technical field of risk assessment, in particular to an operation risk assessment method and device based on multidimensional data.
Background
With the enlargement of the scale of the power grid assets, the number of the operating devices is gradually increased, and the operating association exists between the devices, so that the operating devices need to be subjected to operating risk assessment operation, and the devices with high operating risk are determined and eliminated, so that the continuous and ordered operation of the power grid devices is ensured.
Currently, the operation risk assessment mode related to equipment is that the staff carries out operation risk assessment operation each time and needs to collect the operation data of the equipment off-line, and the staff carries out artificial subjective risk assessment on the operation data by autonomously referring to a preset assessment rule to obtain the risk assessment result of the equipment, the artificial assessment operation is easily influenced by various factors such as mental state, environmental atmosphere, subjective consciousness and the like, the existing equipment operation risk assessment mode lacks an information system support, the above conditions can influence the operation risk assessment to a certain extent, and therefore the existing equipment operation risk assessment operation has the problems of low assessment accuracy and assessment efficiency. Therefore, it is very important to provide an equipment operation risk assessment method capable of improving assessment accuracy and assessment efficiency.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an operation risk assessment method and device based on multidimensional data, which can improve the assessment accuracy and assessment efficiency of the equipment operation risk.
In order to solve the technical problem, a first aspect of the present invention discloses an operation risk assessment method based on multidimensional data, including:
acquiring operation information of target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information;
judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information;
and when the target equipment is judged to meet the basic operation evaluation condition, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and a preset operation evaluation condition.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the operation information and a preset operation evaluation condition, an operation risk evaluation result corresponding to the target device includes:
determining a health index evaluation result corresponding to the target equipment according to the basic attribute information, the real-time state information and a preset health index evaluation condition;
determining an aging index evaluation result corresponding to the target equipment according to the loss operation and maintenance information and a preset aging index evaluation condition;
and determining an operation risk evaluation result corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a preset index risk evaluation condition.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the basic attribute information, the real-time status information, and a preset health index evaluation condition, a health index evaluation result corresponding to the target device includes:
determining a first health index evaluation result corresponding to the target equipment according to the basic attribute information and a preset first sub-evaluation condition;
determining a second health index evaluation result corresponding to the target equipment according to the real-time state information and a preset second sub-evaluation condition;
and calculating to obtain a health index evaluation result corresponding to the target equipment according to the first health index evaluation result, the second health index evaluation result and a preset health index weight calculation condition.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the health index evaluation result, the aging index evaluation result, and a preset index risk evaluation condition, an operation risk evaluation result corresponding to the target device includes:
calculating an operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a set risk weight evaluation condition;
and determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition, and taking the operation risk level as the operation risk evaluation result corresponding to the target equipment.
As an optional implementation manner, in the first aspect of the present invention, before the calculating an operational risk index corresponding to the target device according to the health index evaluation result, the aging index evaluation result, and a risk weight evaluation condition, the method further includes:
judging whether the health index evaluation result is matched with the aging index evaluation result;
when the health index evaluation result is judged to be matched with the aging index evaluation result, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition;
when the health index evaluation result is judged to be not matched with the aging index evaluation result, analyzing the basic attribute information, the real-time state information and the loss operation and maintenance information to obtain an operation association degree, and judging whether the operation association degree is greater than or equal to a preset operation association degree threshold value or not;
when the operation association degree is judged to be greater than or equal to the operation association degree threshold value, obtaining received evaluation feedback information corresponding to the target equipment, and screening a target index evaluation result from the health index evaluation result and the aging index evaluation result according to the evaluation feedback information; calculating an operation risk index corresponding to the target equipment according to the target index evaluation result and the risk weight evaluation condition; executing the operation of determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition as the operation of the operation risk evaluation result corresponding to the target equipment;
and when the operation association degree is judged to be smaller than the operation association degree threshold value, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition.
As an optional implementation manner, in the first aspect of the present invention, the determining whether the health index evaluation result matches the aging index evaluation result includes:
analyzing the health index evaluation result to obtain a first prediction risk category corresponding to the target equipment, and analyzing the aging index evaluation result to obtain a second prediction risk category corresponding to the target equipment;
determining corresponding risk similarity according to the first predicted risk category and the second predicted risk category, and judging whether the risk similarity is greater than or equal to a preset risk similarity threshold;
when the risk similarity is judged to be greater than or equal to the risk similarity threshold, determining that the health index evaluation result is matched with the aging index evaluation result;
when the risk similarity is judged to be smaller than the risk similarity threshold value, determining that the health index evaluation result is not matched with the aging index evaluation result;
the first predicted risk category and the second predicted risk category both include one or more of a predicted risk degree condition, a predicted risk type attribute, and equipment information corresponding to the predicted risk.
As an alternative implementation, in the first aspect of the present invention, the method further includes:
determining the condition that the risk corresponding to the target equipment needs to be processed according to the operation risk evaluation result;
when the risk condition needing to be processed is used for indicating that the target equipment meets a preset risk condition needing to be processed, determining a target risk processing type corresponding to the target equipment according to the operation risk evaluation result and set risk processing analysis information;
determining risk processing information corresponding to the target equipment according to the target risk processing type, the operation information and the operation risk evaluation result;
and executing operation risk processing operation on the target equipment based on the risk processing information to obtain the target equipment after operation risk processing.
The invention discloses a running risk assessment device based on multidimensional data in a second aspect, which comprises:
the acquisition module is used for acquiring the operation information of the target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information;
the judging module is used for judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information;
and the risk evaluation module is used for determining an operation risk evaluation result corresponding to the target equipment according to the operation information and a preset operation evaluation condition when the judgment module judges that the target equipment meets the basic operation evaluation condition.
As an optional implementation manner, in the second aspect of the present invention, a manner of determining, by the risk assessment module, an operation risk assessment result corresponding to the target device according to the operation information and a preset operation assessment condition specifically includes:
determining a health index evaluation result corresponding to the target equipment according to the basic attribute information, the real-time state information and a preset health index evaluation condition;
determining an aging index evaluation result corresponding to the target equipment according to the loss operation and maintenance information and a preset aging index evaluation condition;
and determining an operation risk evaluation result corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a preset index risk evaluation condition.
As an optional implementation manner, in the second aspect of the present invention, the manner that the risk assessment module determines the health index assessment result corresponding to the target device according to the basic attribute information, the real-time status information, and a preset health index assessment condition specifically includes:
determining a first health index evaluation result corresponding to the target equipment according to the basic attribute information and a preset first sub-evaluation condition;
determining a second health index evaluation result corresponding to the target equipment according to the real-time state information and a preset second sub-evaluation condition;
and calculating to obtain a health index evaluation result corresponding to the target equipment according to the first health index evaluation result, the second health index evaluation result and a preset health index weight calculation condition.
As an optional implementation manner, in the second aspect of the present invention, the manner of determining the operation risk assessment result corresponding to the target device by the risk assessment module according to the health index assessment result, the aging index assessment result, and a preset index risk assessment condition specifically includes:
calculating an operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a set risk weight evaluation condition;
and determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition, and taking the operation risk level as the operation risk evaluation result corresponding to the target equipment.
As an optional implementation manner, in the second aspect of the present invention, the risk assessment module is further configured to determine whether the health index assessment result matches the aging index assessment result before the operation risk index corresponding to the target device is calculated according to the health index assessment result, the aging index assessment result and a risk weight assessment condition;
when the health index evaluation result is judged to be matched with the aging index evaluation result, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition;
when the health index evaluation result is judged to be not matched with the aging index evaluation result, analyzing the basic attribute information, the real-time state information and the loss operation and maintenance information to obtain an operation association degree, and judging whether the operation association degree is greater than or equal to a preset operation association degree threshold value or not;
when the operation association degree is judged to be greater than or equal to the operation association degree threshold value, obtaining received evaluation feedback information corresponding to the target equipment, and screening a target index evaluation result from the health index evaluation result and the aging index evaluation result according to the evaluation feedback information; calculating an operation risk index corresponding to the target equipment according to the target index evaluation result and the risk weight evaluation condition; executing the operation of determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition as the operation of the operation risk evaluation result corresponding to the target equipment;
and when the operation association degree is judged to be smaller than the operation association degree threshold value, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition.
As an optional implementation manner, in the second aspect of the present invention, the manner that the risk assessment module determines whether the health index assessment result matches the aging index assessment result specifically includes:
analyzing the health index evaluation result to obtain a first prediction risk category corresponding to the target equipment, and analyzing the aging index evaluation result to obtain a second prediction risk category corresponding to the target equipment;
determining corresponding risk similarity according to the first predicted risk category and the second predicted risk category, and judging whether the risk similarity is greater than or equal to a preset risk similarity threshold value;
when the risk similarity is judged to be greater than or equal to the risk similarity threshold, determining that the health index evaluation result is matched with the aging index evaluation result;
when the risk similarity is judged to be smaller than the risk similarity threshold, determining that the health index evaluation result is not matched with the aging index evaluation result;
the first predicted risk category and the second predicted risk category both include one or more of a predicted risk degree condition, a predicted risk type attribute, and equipment information corresponding to the predicted risk.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:
the determining module is used for determining the condition that the risk corresponding to the target equipment needs to be processed according to the operation risk evaluation result; when the risk condition needing to be processed is used for indicating that the target equipment meets a preset risk condition needing to be processed, determining a target risk processing type corresponding to the target equipment according to the operation risk evaluation result and set risk processing analysis information; determining risk processing information corresponding to the target equipment according to the target risk processing type, the operation information and the operation risk evaluation result;
and the risk processing module is used for executing operation risk processing operation on the target equipment based on the risk processing information to obtain the target equipment after operation risk processing.
The invention discloses another operation risk assessment device based on multidimensional data in a third aspect, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program codes stored in the memory to execute the multidimensional data-based operation risk assessment method disclosed by the first aspect of the invention.
The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer instructions are used for executing the multidimensional data-based operation risk assessment method disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the operation information of the target equipment is obtained, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information; judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information; and when the target equipment is judged to meet the basic operation evaluation condition, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and a preset operation evaluation condition. Therefore, the method and the device can determine the operation risk evaluation result of the equipment according to the operation information and the operation evaluation condition of the equipment, intelligently realize the operation risk evaluation function of the equipment, are favorable for improving the comprehensiveness and the scientificity of the operation risk evaluation mode of the equipment, and further are favorable for improving the accuracy and the reliability of the determined operation risk evaluation result, so that the evaluation accuracy and the evaluation reliability of the operation risk of the equipment are improved, the determination efficiency and the determination convenience of the operation risk evaluation result are improved, and the evaluation efficiency and the evaluation convenience of the operation risk of the equipment are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for evaluating operational risk based on multidimensional data according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another multidimensional data-based operational risk assessment method disclosed in the embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an operation risk assessment apparatus based on multidimensional data according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another multidimensional data-based operational risk assessment device disclosed in the embodiment of the present invention;
FIG. 5 is a schematic structural diagram of another multi-dimensional data-based operational risk assessment apparatus according to an embodiment of the present disclosure;
fig. 6 is an evaluation flow diagram of an operation risk evaluation method based on multidimensional data according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses an operation risk assessment method and device based on multidimensional data, which can determine an operation risk assessment result of equipment according to operation information and operation assessment conditions of the equipment, intelligently realize an equipment operation risk assessment function, are beneficial to improving the comprehensiveness and scientificity of an equipment operation risk assessment mode, and are further beneficial to improving the accuracy and reliability of the determined operation risk assessment result, so that the assessment accuracy and the assessment reliability of the equipment operation risk are improved, the determination efficiency and the determination convenience of the operation risk assessment result are improved, and the assessment efficiency and the assessment convenience of the equipment operation risk are improved. The following are detailed descriptions.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for evaluating an operational risk based on multidimensional data according to an embodiment of the present disclosure. The method described in fig. 1 may be applied to an operation risk assessment device based on multidimensional data, where the device may include a server, where the server includes a local server or a cloud server, and the embodiment of the present invention is not limited. As shown in fig. 1, the operation risk assessment method based on multidimensional data includes the following operations:
101. and acquiring the operation information of the target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information.
Optionally, the basic attribute information may be basic ledger information of the device, such as rated voltage information, rated current information, operation age information, and the like, and the embodiment of the present invention is not limited.
Optionally, the real-time state information may be real-time operation information of the device, such as temperature information of an operation environment of the device, a state of a component of the device (e.g., whether the device has a defect, etc.), track information of real-time operation stability of the device, and the like, and the embodiment of the present invention is not limited.
Optionally, the loss operation and maintenance information may be historical operation information of the device, such as overload information of the device during operation, overexcitation information of the device during operation, historical defect information of a device component, historical operation and maintenance fault information of the device, and the embodiment of the present invention is not limited.
102. And judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information.
Optionally, the basic operation evaluation condition may be understood as whether the device exists or sends an operation fault signal, whether the device cannot operate normally, whether the device has a critical condition fault, and the like, and the embodiment of the present invention is not limited.
Further optionally, when it is determined that the target device does not satisfy the basic operation evaluation condition, the operation information of the target device is continuously monitored, and step 102 is executed.
103. And when the target equipment is judged to meet the basic operation evaluation condition, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and the preset operation evaluation condition.
Optionally, an application flow for determining an apparatus operation risk assessment result may be as shown in fig. 6, which is not limited in the embodiment of the present invention.
Therefore, the operation risk assessment method based on the multidimensional data, which is described by the embodiment of the invention, can determine the operation risk assessment result of the equipment according to the operation information and the operation assessment conditions of the equipment, intelligently realize the operation risk assessment function of the equipment, and is beneficial to improving the comprehensiveness and scientificity of the operation risk assessment mode of the equipment, and further beneficial to improving the accuracy and reliability of the determined operation risk assessment result, so that the assessment accuracy and the assessment reliability of the operation risk of the equipment are improved, the determination efficiency and the determination convenience of the operation risk assessment result are improved, and the assessment efficiency and the assessment convenience of the operation risk of the equipment are improved.
In an optional embodiment, the determining an operation risk assessment result corresponding to the target device according to the operation information and the preset operation assessment condition may include:
determining a health index evaluation result corresponding to the target equipment according to the basic attribute information, the real-time state information and a preset health index evaluation condition;
determining an aging index evaluation result corresponding to the target equipment according to the loss operation and maintenance information and a preset aging index evaluation condition;
and determining an operation risk evaluation result corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a preset index risk evaluation condition.
Optionally, the health index evaluation result, the aging index evaluation result, and the operation risk evaluation result may be represented in a numerical form, a grade degree form, a matching degree form with a set evaluation index, or a position form of the target device in the evaluation index range, which is not limited in the embodiment of the present invention.
Therefore, the optional embodiment can determine the health index evaluation result and the aging index evaluation result to further determine the operation risk evaluation result, different equipment information types are matched with the corresponding index evaluation conditions, comprehensiveness, scientificity and pertinence of the operation risk evaluation result determination mode are improved, accuracy and reliability of the determined index evaluation result are improved, and accuracy and reliability of the determined operation risk evaluation result are improved.
In another optional embodiment, the determining the health index evaluation result corresponding to the target device according to the basic attribute information, the real-time status information, and the preset health index evaluation condition may include:
determining a first health index evaluation result corresponding to the target equipment according to the basic attribute information and a preset first sub-evaluation condition;
determining a second health index evaluation result corresponding to the target equipment according to the real-time state information and a preset second sub-evaluation condition;
and calculating to obtain a health index evaluation result corresponding to the target equipment according to the first health index evaluation result, the second health index evaluation result and a preset health index weight calculation condition.
Optionally, the parameters determined for different health indexes may be matched with different evaluation conditions, or may be matched with different evaluation conditions, which is not limited in the embodiment of the present invention.
Optionally, when the first health index evaluation result is not matched with the second health index evaluation result, determining a third health index evaluation result by combining historical operating health data of the target device, normalized health change data of a device type corresponding to the target device, device health evaluation data of a worker/user using the target device, and the like, and executing the operation of calculating the health index evaluation result corresponding to the target device according to the first health index evaluation result, the second health index evaluation result, and a preset health index weight calculation condition based on the third health index evaluation result.
Therefore, the optional embodiment can determine the first health index evaluation result and the second health index evaluation result to further calculate the health index evaluation result of the equipment, and respectively perform the sub-health index evaluation result determination operation on the basic attribute information and the real-time state information according to the matched sub-evaluation conditions, so that the comprehensiveness, the reasonability and the scientificity of the health index evaluation result determination mode are favorably improved, the accuracy and the reliability of the determined first health index evaluation result and the determined second health index evaluation result are favorably improved, and the accuracy and the reliability of the determined health index evaluation result of the equipment are favorably improved.
In yet another optional embodiment, the determining the operation risk assessment result corresponding to the target device according to the health index assessment result, the aging index assessment result, and the preset index risk assessment condition may include:
calculating an operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the set risk weight evaluation condition;
and determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition, and taking the operation risk level as the operation risk evaluation result corresponding to the target equipment.
Optionally, the operation risk index may indicate a smooth operation degree of the target device, may also indicate a possibility degree of a failure of the target device, and may also indicate an operation safety degree of the target device, which is not limited in the embodiment of the present invention.
Therefore, the optional embodiment can determine the operation risk evaluation result of the equipment by combining the risk weight evaluation condition and the risk grade analysis condition, is favorable for improving the comprehensiveness and the reasonability of the operation risk evaluation result, and is further favorable for improving the observability, the visualization and the conciseness of the operation risk evaluation result, thereby being favorable for improving the practicability and the reusability of the operation risk evaluation result.
In yet another optional embodiment, before the calculating of the operational risk index corresponding to the target device according to the health index evaluation result, the aging index evaluation result, and the risk weight evaluation condition, the method may further include the following operations:
judging whether the health index evaluation result is matched with the aging index evaluation result or not;
when the health index evaluation result is matched with the aging index evaluation result, executing the operation of calculating the running risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition;
when the health index evaluation result is judged to be not matched with the aging index evaluation result, analyzing the basic attribute information, the real-time state information and the loss operation and maintenance information to obtain an operation association degree, and judging whether the operation association degree is greater than or equal to a preset operation association degree threshold value or not;
when the operation association degree is judged to be larger than or equal to the operation association degree threshold value, obtaining evaluation feedback information corresponding to the received target equipment, and screening a target index evaluation result from the health index evaluation result and the aging index evaluation result according to the evaluation feedback information; calculating an operation risk index corresponding to the target equipment according to the target index evaluation result and the risk weight evaluation condition; executing the operation risk grade corresponding to the target equipment according to the operation risk index and the set risk grade analysis condition, and taking the operation risk grade corresponding to the target equipment as the operation of the operation risk evaluation result corresponding to the target equipment;
and when the operation association degree is judged to be smaller than the operation association degree threshold value, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition.
Optionally, the evaluation feedback information of the target device may include, but is not limited to, one or more of operation evaluation information of the target device, user experience evaluation information of the target device, self-monitoring failure and wear feedback information of the target device, maintenance feedback information of the target device, and predicted operation information corresponding to the target device, and the like.
Therefore, the optional embodiment can perform similarity verification on the health index evaluation result and the aging index evaluation result and introduce evaluation feedback information to determine the operation risk evaluation result, more influence factors for determining the operation risk evaluation result are considered, the comprehensiveness, the reasonability and the scientificity of the operation risk evaluation mode based on the multidimensional data are improved, the diversity, the flexibility and the selectivity of the operation risk evaluation result determination mode are improved, the accuracy and the reliability of the determined operation risk evaluation result are improved, and unnecessary evaluation resource waste is reduced.
In yet another alternative embodiment, the determining whether the health index evaluation result matches the aging index evaluation result may include:
analyzing the health index evaluation result to obtain a first prediction risk category corresponding to the target equipment, and analyzing the aging index evaluation result to obtain a second prediction risk category corresponding to the target equipment;
determining corresponding risk similarity according to the first predicted risk category and the second predicted risk category, and judging whether the risk similarity is greater than or equal to a preset risk similarity threshold value;
when the risk similarity is judged to be greater than or equal to the risk similarity threshold, determining that the health index evaluation result is matched with the aging index evaluation result;
when the risk similarity is judged to be smaller than the risk similarity threshold value, determining that the health index evaluation result is not matched with the aging index evaluation result;
the first predicted risk category and the second predicted risk category both include one or more of a predicted risk degree condition, a predicted risk type attribute, and equipment information corresponding to the predicted risk.
Optionally, the device information corresponding to the predicted risk may be understood as position information of a part in the target device, where an operation risk exists specifically, position information of an operation program, where an operation risk exists specifically, and the like, and the embodiment of the present invention is not limited.
Therefore, the optional embodiment can determine the prediction risk categories corresponding to the health index evaluation result and the aging index evaluation result respectively, determine the risk similarities corresponding to different prediction risk categories, determine the matching situation corresponding to the health index evaluation result and the aging index evaluation result according to the magnitude comparison relation between the risk similarities and the risk similarity threshold, and is beneficial to improving the rationality and the scientificity of the evaluation result matching situation determination mode, further beneficial to improving the accuracy and the reliability of the determined evaluation result matching situation, and further beneficial to improving the determination efficiency and the determination convenience of the evaluation result matching situation.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another operation risk assessment method based on multidimensional data according to an embodiment of the present disclosure. The method described in fig. 2 may be applied to an operation risk assessment device based on multidimensional data, where the device may include a server, where the server includes a local server or a cloud server, and the embodiment of the present invention is not limited. As shown in fig. 2, the operation risk assessment method based on multidimensional data includes the following operations:
201. and acquiring the operation information of the target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information.
202. And judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information.
203. And when the target equipment is judged to meet the basic operation evaluation condition, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and the preset operation evaluation condition.
204. And determining the risk condition to be processed corresponding to the target equipment according to the operation risk evaluation result.
205. And when the risk processing requirement condition is used for indicating that the target equipment meets the preset risk processing requirement, determining a target risk processing type corresponding to the target equipment according to the operation risk evaluation result and the set risk processing analysis information.
Optionally, the target risk processing type may be type information reflecting a specific risk location of the target device, or type information reflecting a risk severity of the target device, or type information reflecting a risk processing configuration of the target device, or type information reflecting a risk attribute of the target device, or type information reflecting a risk processing policy of the target device, and the like, and the embodiment of the present invention is not limited.
206. And determining risk processing information corresponding to the target equipment according to the target risk processing type, the operation information and the operation risk evaluation result.
207. And executing operation risk processing operation on the target equipment based on the risk processing information to obtain the target equipment after operation risk processing.
In the embodiment of the present invention, for other descriptions of step 201 to step 203, please refer to other detailed descriptions of step 101 to step 103 in the first embodiment, which is not described again in the embodiment of the present invention.
Therefore, the operation risk assessment result of the equipment can be determined according to the operation information and the operation assessment condition of the equipment, the operation risk assessment function of the equipment is intelligently realized, the comprehensiveness and the scientificity of the operation risk assessment mode of the equipment are improved, the accuracy and the reliability of the determined operation risk assessment result are improved, the assessment accuracy and the assessment reliability of the operation risk of the equipment are improved, the determination efficiency and the determination convenience of the operation risk assessment result are improved, and the assessment efficiency and the assessment convenience of the operation risk of the equipment are improved; and, can also provide the equipment risk processing function, richen the intelligent function based on the operation risk assessment mode of multidimension data, be favorable to improving the comprehensiveness and the rationality based on the operation risk assessment mode of multidimension data, and then be favorable to improving the risk monitoring real-time and the operation and maintenance promptness of equipment to improve the operational stability and the reliability of equipment.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an operation risk assessment apparatus based on multidimensional data according to an embodiment of the present disclosure. The apparatus depicted in fig. 3 may include a server, where the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. As shown in fig. 3, the operation risk assessment device based on multidimensional data may include:
the obtaining module 301 is configured to obtain operation information of the target device, where the operation information includes basic attribute information, real-time status information, and loss operation and maintenance information.
The determining module 302 is configured to determine whether the target device meets a preset basic operation evaluation condition according to the operation information.
And a risk evaluation module 303, configured to determine an operation risk evaluation result corresponding to the target device according to the operation information and a preset operation evaluation condition when the determination module 302 determines that the target device meets the basic operation evaluation condition.
It can be seen that, by implementing the operation risk assessment device based on the multidimensional data described in fig. 3, the operation risk assessment result of the device can be determined according to the operation information and the operation assessment conditions of the device, the operation risk assessment function of the device can be intelligently realized, the comprehensiveness and the scientificity of the operation risk assessment mode of the device can be improved, the accuracy and the reliability of the determined operation risk assessment result can be improved, the assessment accuracy and the assessment reliability of the operation risk of the device can be improved, the determination efficiency and the determination convenience of the operation risk assessment result can be improved, and the assessment efficiency and the assessment convenience of the operation risk of the device can be improved.
In an optional embodiment, the mode of determining the operation risk assessment result corresponding to the target device by the risk assessment module 303 according to the operation information and the preset operation assessment condition specifically includes:
determining a health index evaluation result corresponding to the target equipment according to the basic attribute information, the real-time state information and a preset health index evaluation condition;
determining an aging index evaluation result corresponding to the target equipment according to the loss operation and maintenance information and a preset aging index evaluation condition;
and determining an operation risk evaluation result corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a preset index risk evaluation condition.
It can be seen that the device described in fig. 4 can determine the health index evaluation result and the aging index evaluation result to determine the operation risk evaluation result, and different device information types match the corresponding index evaluation conditions, so that the comprehensiveness, scientificity and pertinence of the operation risk evaluation result determination mode are improved, the accuracy and reliability of the determined index evaluation result are improved, and the accuracy and reliability of the determined operation risk evaluation result are improved.
In another optional embodiment, the manner of determining the health index evaluation result corresponding to the target device by the risk evaluation module 303 according to the basic attribute information, the real-time status information, and the preset health index evaluation condition specifically includes:
determining a first health index evaluation result corresponding to the target equipment according to the basic attribute information and a preset first sub-evaluation condition;
determining a second health index evaluation result corresponding to the target equipment according to the real-time state information and a preset second sub-evaluation condition;
and calculating to obtain a health index evaluation result corresponding to the target equipment according to the first health index evaluation result, the second health index evaluation result and a preset health index weight calculation condition.
It can be seen that the implementation of the apparatus described in fig. 4 can also determine the first health index evaluation result and the second health index evaluation result to further calculate the health index evaluation result of the device, and perform sub-health index evaluation result determination operation on the basic attribute information and the real-time status information according to the matched sub-evaluation conditions, which is beneficial to improving the comprehensiveness, rationality and scientificity of the health index evaluation result determination mode, and further beneficial to improving the accuracy and reliability of the determined first health index evaluation result and second health index evaluation result, thereby being beneficial to improving the accuracy and reliability of the determined health index evaluation result of the device.
In yet another optional embodiment, the mode of determining the operation risk assessment result corresponding to the target device by the risk assessment module 303 according to the health index assessment result, the aging index assessment result, and the preset index risk assessment condition specifically includes:
calculating an operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the set risk weight evaluation condition;
and determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition, and taking the operation risk level as the operation risk evaluation result corresponding to the target equipment.
It can be seen that the device described in fig. 4 can also be implemented to determine the operation risk assessment result of the device by combining the risk weight assessment condition and the risk level analysis condition, which is favorable for improving the comprehensiveness and rationality of the operation risk assessment result, and further favorable for improving the observability, visualization and conciseness of the operation risk assessment result, thereby being favorable for improving the practicability and the reusability of the operation risk assessment result.
In yet another optional embodiment, the risk assessment module 303 is further configured to determine whether the health index assessment result matches the aging index assessment result before calculating the operation risk index corresponding to the target device according to the health index assessment result, the aging index assessment result and the risk weight assessment condition;
when the health index evaluation result is judged to be matched with the aging index evaluation result, the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition is executed;
when the health index evaluation result is judged to be not matched with the aging index evaluation result, analyzing the basic attribute information, the real-time state information and the loss operation and maintenance information to obtain an operation association degree, and judging whether the operation association degree is greater than or equal to a preset operation association degree threshold value or not;
when the operation association degree is judged to be larger than or equal to the operation association degree threshold value, obtaining evaluation feedback information corresponding to the received target equipment, and screening a target index evaluation result from the health index evaluation result and the aging index evaluation result according to the evaluation feedback information; calculating an operation risk index corresponding to the target equipment according to the target index evaluation result and the risk weight evaluation condition; executing the operation risk grade corresponding to the target equipment according to the operation risk index and the set risk grade analysis condition, and taking the operation risk grade corresponding to the target equipment as the operation of the operation risk evaluation result corresponding to the target equipment;
and when the operation association degree is judged to be smaller than the operation association degree threshold value, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition.
It can be seen that, by implementing the apparatus described in fig. 4, similarity verification can be performed on the health index evaluation result and the aging index evaluation result, and the evaluation feedback information is introduced to determine the operation risk evaluation result, so that more influence factors for determining the operation risk evaluation result are considered, the comprehensiveness, the rationality and the scientificity of the operation risk evaluation mode based on the multidimensional data are improved, and further the diversity, the flexibility and the selectivity of the operation risk evaluation result determination mode are improved, thereby the accuracy and the reliability of the determined operation risk evaluation result are improved, and unnecessary evaluation resource waste is reduced.
In another optional embodiment, the manner of determining, by the risk assessment module 303, whether the health index assessment result matches the aging index assessment result specifically includes:
analyzing the health index evaluation result to obtain a first prediction risk category corresponding to the target equipment, and analyzing the aging index evaluation result to obtain a second prediction risk category corresponding to the target equipment;
determining corresponding risk similarity according to the first predicted risk category and the second predicted risk category, and judging whether the risk similarity is greater than or equal to a preset risk similarity threshold value;
when the risk similarity is judged to be greater than or equal to the risk similarity threshold, determining that the health index evaluation result is matched with the aging index evaluation result;
when the risk similarity is judged to be smaller than the risk similarity threshold value, determining that the health index evaluation result is not matched with the aging index evaluation result;
the first predicted risk category and the second predicted risk category both include one or more of a predicted risk degree condition, a predicted risk type attribute, and equipment information corresponding to the predicted risk.
It can be seen that the device described in fig. 4 can also determine the predicted risk categories corresponding to the health index evaluation result and the aging index evaluation result respectively, determine the risk similarities corresponding to different predicted risk categories, determine the matching situation corresponding to the health index evaluation result and the aging index evaluation result according to the magnitude comparison relationship between the risk similarities and the risk similarity threshold, and is beneficial to improving the rationality and the scientificity of the evaluation result matching situation determination mode, further beneficial to improving the accuracy and the reliability of the determined evaluation result matching situation, and further beneficial to improving the determination efficiency and the determination convenience of the evaluation result matching situation.
In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:
a determining module 304, configured to determine, according to the operation risk assessment result, a risk condition that needs to be handled corresponding to the target device; when the risk processing requirement condition is used for indicating that the target equipment meets the preset risk processing requirement, determining a target risk processing type corresponding to the target equipment according to the operation risk evaluation result and the set risk processing analysis information; and determining risk processing information corresponding to the target equipment according to the target risk processing type, the operation information and the operation risk evaluation result.
And the risk processing module 305 is configured to execute an operation risk processing operation on the target device based on the risk processing information, so as to obtain the target device after the operation risk processing.
Therefore, the device described in the embodiment of fig. 4 can provide an equipment risk processing function, enriches the intelligent function of the operation risk assessment mode based on the multidimensional data, is beneficial to improving the comprehensiveness and rationality of the operation risk assessment mode based on the multidimensional data, and is further beneficial to improving the risk monitoring real-time property and the operation and maintenance timeliness of the equipment, thereby improving the operation stability and the reliability of the equipment.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of another operation risk assessment apparatus based on multidimensional data according to an embodiment of the present disclosure. The apparatus depicted in fig. 5 may include a server, where the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
further, an input interface 403 and an output interface 404 coupled to the processor 402 may be included;
the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the multidimensional data-based operation risk assessment method described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the operation risk assessment method based on multidimensional data described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps of the multidimensional data-based operation risk assessment method described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.
Finally, it should be noted that: the operation risk assessment method and apparatus based on multidimensional data disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An operational risk assessment method based on multidimensional data, the method comprising:
acquiring operation information of target equipment, wherein the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information;
judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information;
and when the target equipment is judged to meet the basic operation evaluation condition, determining an operation risk evaluation result corresponding to the target equipment according to the operation information and a preset operation evaluation condition.
2. The operational risk assessment method based on multidimensional data according to claim 1, wherein determining the operational risk assessment result corresponding to the target device according to the operational information and a preset operational assessment condition comprises:
determining a health index evaluation result corresponding to the target equipment according to the basic attribute information, the real-time state information and a preset health index evaluation condition;
determining an aging index evaluation result corresponding to the target equipment according to the loss operation and maintenance information and a preset aging index evaluation condition;
and determining an operation risk evaluation result corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a preset index risk evaluation condition.
3. The operational risk assessment method based on multidimensional data according to claim 2, wherein determining the health index assessment result corresponding to the target device according to the basic attribute information, the real-time status information and a preset health index assessment condition comprises:
determining a first health index evaluation result corresponding to the target equipment according to the basic attribute information and a preset first sub-evaluation condition;
determining a second health index evaluation result corresponding to the target equipment according to the real-time state information and a preset second sub-evaluation condition;
and calculating to obtain a health index evaluation result corresponding to the target equipment according to the first health index evaluation result, the second health index evaluation result and a preset health index weight calculation condition.
4. The operational risk assessment method based on multidimensional data according to claim 3, wherein determining the operational risk assessment result corresponding to the target device according to the health index assessment result, the aging index assessment result and a preset index risk assessment condition comprises:
calculating an operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and a set risk weight evaluation condition;
and determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition, and taking the operation risk level as the operation risk evaluation result corresponding to the target equipment.
5. The method according to claim 4, wherein before calculating the operational risk index corresponding to the target device according to the health index assessment result, the aging index assessment result and the risk weight assessment condition, the method further comprises:
judging whether the health index evaluation result is matched with the aging index evaluation result or not;
when the health index evaluation result is judged to be matched with the aging index evaluation result, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition;
when the health index evaluation result is judged to be not matched with the aging index evaluation result, analyzing the basic attribute information, the real-time state information and the loss operation and maintenance information to obtain an operation association degree, and judging whether the operation association degree is greater than or equal to a preset operation association degree threshold value or not;
when the operation association degree is judged to be greater than or equal to the operation association degree threshold value, obtaining received evaluation feedback information corresponding to the target equipment, and screening a target index evaluation result from the health index evaluation result and the aging index evaluation result according to the evaluation feedback information; calculating an operation risk index corresponding to the target equipment according to the target index evaluation result and the risk weight evaluation condition; executing the operation of determining the operation risk level corresponding to the target equipment according to the operation risk index and the set risk level analysis condition as the operation of the operation risk evaluation result corresponding to the target equipment;
and when the operation association degree is judged to be smaller than the operation association degree threshold value, executing the operation of calculating the operation risk index corresponding to the target equipment according to the health index evaluation result, the aging index evaluation result and the risk weight evaluation condition.
6. The operational risk assessment method based on multidimensional data as claimed in claim 5, wherein said determining whether the health index assessment result matches the aging index assessment result comprises:
analyzing the health index evaluation result to obtain a first prediction risk category corresponding to the target equipment, and analyzing the aging index evaluation result to obtain a second prediction risk category corresponding to the target equipment;
determining corresponding risk similarity according to the first predicted risk category and the second predicted risk category, and judging whether the risk similarity is greater than or equal to a preset risk similarity threshold value;
when the risk similarity is judged to be greater than or equal to the risk similarity threshold, determining that the health index evaluation result is matched with the aging index evaluation result;
when the risk similarity is judged to be smaller than the risk similarity threshold value, determining that the health index evaluation result is not matched with the aging index evaluation result;
the first predicted risk category and the second predicted risk category both include one or more of a predicted risk degree condition, a predicted risk type attribute, and equipment information corresponding to the predicted risk.
7. The operational risk assessment method based on multidimensional data according to claim 6, wherein the method further comprises:
determining the condition that the risk corresponding to the target equipment needs to be processed according to the operation risk evaluation result;
when the risk condition needing to be processed is used for indicating that the target equipment meets a preset risk condition needing to be processed, determining a target risk processing type corresponding to the target equipment according to the operation risk evaluation result and set risk processing analysis information;
determining risk processing information corresponding to the target equipment according to the target risk processing type, the operation information and the operation risk evaluation result;
and executing operation risk processing operation on the target equipment based on the risk processing information to obtain the target equipment after operation risk processing.
8. An operational risk assessment apparatus based on multidimensional data, the apparatus comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring operation information of target equipment, and the operation information comprises basic attribute information, real-time state information and loss operation and maintenance information;
the judging module is used for judging whether the target equipment meets a preset basic operation evaluation condition or not according to the operation information;
and the risk evaluation module is used for determining an operation risk evaluation result corresponding to the target equipment according to the operation information and a preset operation evaluation condition when the judgment module judges that the target equipment meets the basic operation evaluation condition.
9. An operational risk assessment apparatus based on multidimensional data, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the multidimensional data-based operational risk assessment method according to any one of claims 1 to 7.
10. A computer storage medium storing computer instructions for performing the method for risk assessment based on multidimensional data according to any of claims 1 to 7 when the computer instructions are invoked.
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| CN116342088B (en) * | 2023-03-29 | 2023-10-13 | 中建三局集团有限公司 | Efficient filter replacement strategy method based on intelligent operation and maintenance platform |
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