CN115630716A

CN115630716A - Intelligent generation method and device for equipment maintenance plan

Info

Publication number: CN115630716A
Application number: CN202211402897.1A
Authority: CN
Inventors: 温启良; 张渊渊; 温剑基; 李炎裕; 魏恩伟; 曾锡池
Original assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Current assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Priority date: 2022-11-10
Filing date: 2022-11-10
Publication date: 2023-01-20

Abstract

The invention discloses an intelligent generation method and device of an equipment maintenance plan, wherein the method comprises the following steps: acquiring a topological connection parameter of a target equipment network; acquiring a maintenance record of each target device in a target device network; determining the maintenance parameters of the target equipment network according to all the maintenance records; and generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan comprises at least one of an equipment detection plan, an equipment fault repair plan and an equipment maintenance plan. Therefore, by the aid of the method and the device, the corresponding overhaul parameters of the target equipment network can be determined according to the overhaul records of each target equipment, and the corresponding equipment overhaul plan can be generated according to the topological connection parameters and the overhaul parameters of the target equipment network, so that the accuracy of making the equipment overhaul plan can be improved, and the overhaul efficiency of the equipment can be further improved.

Description

Intelligent generation method and device for equipment maintenance plan

Technical Field

The invention relates to the technical field of equipment maintenance, in particular to an intelligent generation method and device of an equipment maintenance plan.

Background

With the continuous promotion of the strong national strategy, a great amount of engineering equipment in China is emerging, and the requirements for equipment maintenance and overhaul are increasingly promoted. The maintenance and overhaul of the equipment can keep, recover and improve the technical state of the equipment, and further the realization efficiency of the project where the equipment is located is improved.

Currently, a conventional maintenance plan for equipment is generally manually made, and maintenance, inspection, and troubleshooting of the equipment are performed regularly through the plan. However, the manually-made maintenance plan is prone to cause a situation of manual error in accounting, and further the making of the equipment maintenance plan is not accurate enough, so that the maintenance efficiency of the equipment is reduced. Therefore, it is very important to provide a method and a device capable of accurately making an equipment maintenance plan to improve the equipment maintenance efficiency.

Disclosure of Invention

The invention aims to provide a method and a device for intelligently generating an equipment maintenance plan, which can improve the accuracy of making the equipment maintenance plan and further improve the maintenance efficiency of equipment.

In order to solve the technical problem, a first aspect of the present invention discloses an intelligent generation method for an equipment maintenance plan, including:

acquiring topological connection parameters of a target device network, wherein the target device network comprises at least two target devices, and the topological connection parameters are used for indicating the incidence relation between the target devices with the incidence relation in the target device network;

acquiring a maintenance record of each target device in the target device network;

determining maintenance parameters of the target equipment network according to all the maintenance records, wherein the maintenance parameters comprise equipment maintenance risks and/or equipment maintenance benefits of each target equipment;

and generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan comprises at least one of an equipment detection plan, an equipment fault repair plan and an equipment maintenance plan.

As an optional implementation manner, in the first aspect of the present invention, after the obtaining the topology connection parameter of the target device network, the method further includes:

determining associated device information corresponding to each target device in the target device network according to the topological connection parameter, wherein the associated device information corresponding to each target device is used for indicating at least one other target device having an association relation with the target device;

and generating a device shutdown parameter of the target device network according to all the associated device information, wherein the device shutdown parameter is used for indicating and recording shutdown time and/or shutdown cost of each target device and at least one other target device having an association relationship with the target device.

As an optional implementation manner, in the first aspect of the present invention, before the generating the equipment maintenance plan of the target equipment network according to the topological connection parameter and the maintenance parameter, the method further includes:

determining the current maintenance level of each target device in the target device network according to a preset maintenance level table of the target device network and the maintenance parameters;

generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the generating of the equipment maintenance plan comprises the following steps:

and generating an equipment maintenance plan of the target equipment network according to the equipment outage parameters, the maintenance parameters and the current maintenance grade of each target equipment, wherein the equipment maintenance plan specifically comprises an equipment detection plan and/or an equipment fault repair plan of the target equipment network.

As an optional implementation manner, in the first aspect of the present invention, before the generating an equipment maintenance plan of the target equipment network according to the topological connection parameter and the maintenance parameter, the method further includes:

acquiring the service life cycle of each target device in the target device network;

determining a maintenance cycle of each target device according to the service life cycle of each target device and the corresponding maintenance record;

generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, and further comprising:

and updating the equipment maintenance plan of the target equipment network according to all the maintenance periods, the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan specifically also comprises an equipment maintenance plan.

As an alternative embodiment, in the first aspect of the present invention, the service record includes at least one of a service number, a service time, a service cost, and a service status of the target equipment;

determining the maintenance parameters of the target equipment network according to all the maintenance records, wherein the maintenance parameters comprise:

determining a load supply parameter corresponding to each target device according to the overhaul record of each target device, wherein the load supply parameter comprises the load loss amount and/or the load loss risk of the corresponding target device;

and determining the overhaul parameters of the target equipment network according to all the overhaul records, the equipment outage parameters and all the load supply parameters, wherein the overhaul parameters specifically comprise equipment overhaul risks.

As an optional implementation manner, in the first aspect of the present invention, the determining a service parameter of the target device network according to all the service records further includes:

determining the fault probability of each target device before and after overhaul according to the overhaul record of each target device, and determining the overhaul risk difference value corresponding to each target device according to the fault probability of each target device before and after overhaul;

and updating the overhaul parameters of the target equipment network according to all the overhaul records, the equipment outage parameters and all the overhaul risk difference values, wherein the overhaul parameters specifically further comprise equipment overhaul benefits.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

updating the maintenance level of each target device in the target device network according to a preset maintenance level table, a preset updating condition and the maintenance parameters of the target device network to obtain the target maintenance level of each target device;

judging whether at least one first target device exists in the target device network, wherein the current overhaul grade of the first target device is different from the target overhaul grade of the first target device;

and when judging that at least one first target device exists in the target device network, according to the topological connection parameter, the overhaul parameter, the current overhaul grade of each target device, all the first target devices and the respective pairs thereof.

The second aspect of the present invention discloses an intelligent generation apparatus for an equipment maintenance plan, comprising:

an obtaining module, configured to obtain a topology connection parameter of a target device network, where the target device network includes at least two target devices, and the topology connection parameter is used to indicate an association relationship between target devices having an association relationship in the target device network; acquiring a maintenance record of each target device in the target device network;

the determining module is used for determining the overhaul parameters of the target equipment network according to all the overhaul records, wherein the overhaul parameters comprise the equipment overhaul risk and/or the equipment overhaul income of each target equipment;

and the generating module is used for generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan comprises at least one of an equipment detection plan, an equipment fault repair plan and an equipment maintenance plan.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to:

after the acquisition module acquires the topological connection parameters of the target device network, determining associated device information corresponding to each target device in the target device network according to the topological connection parameters, wherein the associated device information corresponding to each target device is used for indicating at least one other target device having an association relationship with the target device;

the generation module is further configured to generate a device outage parameter of the target device network according to all the associated device information, where the device outage parameter is used to indicate and record outage time and/or outage cost of each target device and at least one other target device having an association relationship with the target device.

before the generating module generates an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, determining the current maintenance level of each target equipment in the target equipment network according to a preset maintenance level table of the target equipment network and the maintenance parameters;

the specific way for the generation module to generate the equipment maintenance plan of the target equipment network according to the topological connection parameter and the maintenance parameter includes:

and generating an equipment maintenance plan of the target equipment network according to the equipment outage parameters, the maintenance parameters and the current maintenance grade of each target equipment, wherein the equipment maintenance plan specifically comprises an equipment detection plan and/or an equipment fault repair plan of the target equipment network. As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to:

before the generating module generates an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, acquiring an equipment life cycle of each target equipment in the target equipment network;

the determining module is further configured to determine a maintenance cycle of each target device according to the device life cycle of each target device and the corresponding maintenance record;

the specific way of generating the equipment maintenance plan of the target equipment network by the generation module according to the topological connection parameter and the maintenance parameter further includes:

As an alternative embodiment, in the second aspect of the present invention, the service record includes at least one of a service number, a service time, a service cost, and a service status of the target equipment;

the specific mode of determining the overhaul parameters of the target equipment network by the determining module according to all the overhaul records comprises the following steps:

determining a load supply parameter corresponding to each target device according to the overhaul record of each target device, wherein the load supply parameters comprise the load loss amount and/or the load loss risk of the corresponding target device;

As an optional implementation manner, in the second aspect of the present invention, a specific manner of determining, by the determining module, the repair parameter of the target device network according to all the repair records further includes:

As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:

the updating module is used for updating the overhaul grade of each target device in the target device network according to a preset overhaul grade table, preset updating conditions and the overhaul parameters of the target device network to obtain the target overhaul grade of each target device;

the judging module is used for judging whether at least one first target device exists in the target device network, and the current overhaul grade of the first target device is different from the target overhaul grade of the first target device;

the updating module is further configured to update the equipment maintenance plan corresponding to the target equipment network according to the topology connection parameter, the maintenance parameter, the current maintenance level of each target equipment, all the first target equipment and their respective corresponding target maintenance levels when the judging module judges that at least one first target equipment exists in the target equipment network.

The third aspect of the present invention discloses another apparatus for intelligently generating an equipment overhaul plan, which includes:

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 intelligent generation method of the equipment maintenance plan 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 storage medium is used for executing the intelligent generation method of the equipment maintenance plan 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 topological connection parameters of a target equipment network are obtained, the target equipment network comprises at least two target equipment, and the topological connection parameters are used for indicating the incidence relation between the target equipment with the incidence relation in the target equipment network; acquiring a maintenance record of each target device in a target device network; determining the overhaul parameters of the target equipment network according to all the overhaul records, wherein the overhaul parameters comprise the equipment overhaul risk and/or the equipment overhaul income of each target equipment; and generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan comprises at least one of an equipment detection plan, an equipment fault repair plan and an equipment maintenance plan. Therefore, by implementing the method and the device, the overhaul parameters of the corresponding target equipment network can be determined according to the overhaul records of each target equipment, and the corresponding equipment overhaul plan can be generated according to the topological connection parameters and the overhaul parameters of the target equipment network, so that the accuracy of making the equipment overhaul plan can be improved, and the overhaul efficiency of the equipment can be further improved; the labor cost for equipment maintenance can be reduced, and the production benefit of equipment is 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 diagram illustrating a method for intelligently generating an equipment overhaul plan according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart diagram illustrating another method for intelligently generating an equipment overhaul plan, according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an intelligent generation apparatus for an equipment overhaul plan according to an embodiment of the present disclosure;

FIG. 4 is a schematic structural diagram of another apparatus for intelligently generating an equipment overhaul plan according to an embodiment of the disclosure;

fig. 5 is a schematic structural diagram of another intelligent generation device for an equipment maintenance plan according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, 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 but may alternatively include other steps or elements not expressly 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 may be combined with other embodiments.

The invention discloses an intelligent generation method and device of an equipment maintenance plan, which can determine maintenance parameters of a corresponding target equipment network according to maintenance records of each target equipment, and generate a corresponding equipment maintenance plan according to topological connection parameters and maintenance parameters of the target equipment network, thereby improving the accuracy of making the equipment maintenance plan and further improving the maintenance efficiency of the equipment; the labor cost for equipment maintenance can be reduced, and the production benefit of equipment is improved. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flowchart of an intelligent generation method of an equipment overhaul plan according to an embodiment of the present invention. The method for intelligently generating the equipment maintenance plan described in fig. 1 may be applied to daily maintenance work of engineering-related equipment, for example, daily maintenance work of a power grid and related equipment thereof, and the embodiment of the present invention is not limited thereto. Optionally, the method may be implemented by an equipment maintenance system, where the equipment maintenance system may be integrated in a power grid and related power equipment thereof, may also exist independently, and may also be a local server or a cloud server for processing an equipment maintenance process, and the embodiment of the present invention is not limited. As shown in fig. 1, the intelligent generation method of the equipment overhaul plan may include the following operations:

101. and acquiring the topological connection parameters of the target equipment network.

In the embodiment of the present invention, optionally, the target device network refers to a device group having a corresponding association relationship and composed of at least two target devices, for example, the target device network may be a power grid (target device network) composed of a plurality of power devices (target devices), where the power devices may be a utility boiler, a steam turbine, a gas turbine, a water turbine, a generator, a transformer, or a transmission line, a transformer, a contactor, or the like of various voltage classes.

In the embodiment of the present invention, optionally, the topology connection parameter may be used to indicate an association relationship between target devices having an association relationship in a target device network, for example, assuming that a transformer exists in a certain power grid and can directly connect a generator and a motor in the power grid, the association relationship between the generator and the transformer, the association relationship between the transformer and the motor, and the association relationship between the generator and the motor may all be indicated by the topology connection parameter corresponding to the power grid.

102. And acquiring the maintenance record of each target device in the target device network.

In the embodiment of the present invention, specifically, each target device in the target device network has a corresponding service record. Optionally, the overhaul record may include overhaul times of the corresponding target devices, and/or specific time and overhaul duration of each overhaul, and/or overhaul cost consumed by each overhaul, and/or device states of the corresponding target devices before and after each overhaul.

103. And determining the maintenance parameters of the target equipment network according to all the maintenance records.

In the embodiment of the present invention, optionally, the overhaul parameter includes an overhaul risk and/or an overhaul benefit of all target devices in the target device network corresponding to the overhaul parameter. Further optionally, the equipment overhaul risk refers to safety index evaluation and feasibility analysis of overhaul work of corresponding target equipment, and prediction of equipment fault probability and fault overhaul cost before and after overhaul of the target equipment; the equipment overhaul yield refers to the equipment production yield before and after the corresponding target equipment overhaul. The equipment maintenance risk is determined, the life safety of maintenance personnel is guaranteed, and the equipment maintenance efficiency is improved; and the equipment maintenance income is determined, so that the maintenance pertinence is improved, and the overall production income of the whole target equipment network is improved.

104. And generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters.

In the embodiment of the present invention, optionally, the equipment overhaul plan includes at least one of an equipment inspection plan, an equipment troubleshooting plan, and an equipment maintenance plan. Further optionally, the device detection plan refers to a plan for periodically detecting all target devices of the target device network, and a corresponding detection period is set according to different device characteristics (for example, device wear degrees and the like) of each target device, and the device detection plan can periodically detect the operating state of the device, so that the device fault problem can be timely discovered, and further the device fault degree is prevented from further expanding; the equipment fault repair plan is to plan to make the fault equipment clear, urgent and repair according to the fault degree and the fault cost (namely the production yield loss and the like caused by the fault) of each fault equipment, and can improve the repair pertinence of the fault equipment and further reduce the generated yield loss caused by the equipment fault; the equipment maintenance plan refers to setting corresponding maintenance operation (for example, adding lubricating oil and the like to specific equipment at fixed time) according to different equipment characteristics of each target equipment, and the plan can maintain different target equipment at fixed time, is beneficial to reducing the equipment failure probability and further prolongs the service life of the equipment.

Therefore, by implementing the embodiment of the invention, the maintenance parameters of the corresponding target equipment network can be determined according to the maintenance record of each target equipment, and the corresponding equipment maintenance plan can be generated according to the topological connection parameters and the maintenance parameters of the target equipment network, so that the accuracy of making the equipment maintenance plan can be improved, and the maintenance efficiency of the equipment can be further improved; the labor cost for equipment maintenance can be reduced, and the production benefit of equipment is improved.

In an optional embodiment, after the step 101 obtains the topology connection parameters of the target device network, the method further includes:

determining associated equipment information corresponding to each target equipment in the target equipment network according to the topological connection parameters;

and generating the equipment shutdown parameters of the target equipment network according to all the associated equipment information.

In this optional embodiment, optionally, the associated device information of each target device can indicate an association relationship between the target device and other target devices in the target device network where the target device is located, and each target device is associated with at least one other device. For example, assuming that a transformer exists in a power grid and can directly connect a generator and a motor in the power grid, the associated device information corresponding to the transformer can indicate the association between the transformer and the generator and between the transformer and the motor, but cannot indicate the association between the generator and the motor.

In this optional embodiment, optionally, the device outage parameter is used to indicate and record an outage time and/or an outage cost of each target device and at least one other target device associated with the target device. The above example is also taken as an example, that is, a certain transformer exists in a certain power grid and can be directly connected with a generator and a motor in the power grid, when the transformer carries out maintenance work, the equipment shutdown parameter corresponding to the power grid can instruct the transformer and the generator and the motor which are associated with the transformer to carry out shutdown operation, and the shutdown time and/or the shutdown cost corresponding to the relevant shutdown equipment are recorded.

Therefore, the optional embodiment can generate the corresponding equipment shutdown parameters according to the topological connection parameters of the target equipment network, and can comprehensively arrange shutdown of the target equipment for maintenance work and other equipment related to the target equipment, so that the repeated shutdown of the target equipment in the maintenance process is reduced; the shutdown time of the target equipment can be reasonably arranged, so that the equipment shutdown cost is reduced, and the equipment overhaul income and the equipment overhaul efficiency are improved.

In another alternative embodiment, the step 103 of determining the service parameters of the target device network according to all service records includes:

determining a load supply parameter corresponding to each target device according to the maintenance record of each target device, wherein the load supply parameter comprises the load loss amount and/or the load loss risk of the corresponding target device;

and determining the overhaul parameters of the target equipment network according to all the overhaul records, the equipment shutdown parameters and all the load supply parameters, wherein the overhaul parameters specifically comprise equipment overhaul risks.

In this alternative embodiment, optionally, the load supply parameter refers to a relevant parameter of the power load of its corresponding target device. Further alternatively, the load loss refers to that the equipment system cannot meet the load supply due to the shortage of the power generation capacity of the corresponding target equipment or other reasons, the load loss refers to the amount of load loss power that the target equipment lacks, and the load loss risk refers to the increase or decrease of the failure probability of the corresponding target equipment due to the load loss phenomenon.

In this optional embodiment, optionally, the specific determination manner of the equipment overhaul risk of the target equipment includes: and calculating corresponding equipment maintenance cost, predicted load loss, random load loss and the like according to the maintenance time and the maintenance cost in the maintenance record of the target equipment and the corresponding equipment outage parameters, and further calculating the equipment maintenance cost of the target equipment according to the calculation result.

Further optionally, the equipment overhaul risk of the target equipment further includes an equipment failure risk, where a specific determination manner of the equipment failure risk includes: and calculating the corresponding load loss amount and load loss risk according to the maintenance time and the maintenance cost in the maintenance record of the target equipment, and further calculating the equipment fault risk of the target equipment according to the equipment outage parameters of the target equipment and the calculated load loss amount and load loss risk.

Therefore, according to the optional embodiment, the load supply parameters corresponding to each target device can be determined according to the maintenance record of each target device, the equipment maintenance risks (the equipment maintenance risks also include equipment fault risks) of the corresponding target device network can be determined, the corresponding equipment maintenance risks can be determined according to different maintenance records of each target device, the evaluation accuracy of the equipment maintenance risks is effectively improved, and further, a targeted maintenance plan can be conveniently formulated according to the risk evaluation, so that the maintenance efficiency of the target devices is improved.

In yet another optional embodiment, the step 103 of determining the service parameters of the target device network according to all service records further includes:

and updating the overhaul parameters of the target equipment network according to all the overhaul records, the equipment shutdown parameters and all the overhaul risk difference values, wherein the overhaul parameters specifically comprise equipment overhaul income.

In the optional embodiment, optionally, according to the maintenance record corresponding to each target device, the failure frequency before and after each maintenance is calculated to obtain the device failure probability before and after each maintenance of the target device, and further, the maintenance risk difference value after each maintenance of the target device can be calculated, so that the average maintenance risk difference value of the target device is calculated.

In this optional embodiment, optionally, the overhaul parameter of the target device further includes a device overhaul benefit, where a specific determination manner of the device overhaul benefit includes: and calculating the equipment maintenance income of the target equipment according to the determined maintenance parameters, equipment shutdown parameters and the calculated average maintenance risk difference of the target equipment. Further optionally, the overhaul of the equipments income is used for instructing the corresponding equipment to overhaul the before and after the production income changes and/or overhaul the cost at every turn, and after determining the corresponding overhaul of the equipments income, updates it to the overhaul parameter that this equipment corresponds.

Therefore, the optional embodiment can determine the overhaul risk difference value corresponding to each target device according to the overhaul record of each target device, further update the overhaul benefit of each target device, update the corresponding overhaul parameters according to each overhaul of each target device, improve the information accuracy and the real-time performance of the overhaul parameters, and further be beneficial to improving the overhaul efficiency of the device.

Example two

Referring to fig. 2, fig. 2 is a schematic flowchart of an intelligent generation method of an equipment overhaul plan according to an embodiment of the present invention. The method for intelligently generating the equipment maintenance plan described in fig. 2 may be applied to daily maintenance of engineering-related equipment, for example, daily maintenance of a power grid and related equipment thereof, and the embodiment of the present invention is not limited thereto. Optionally, the method may be implemented by an equipment maintenance system, and the equipment maintenance system may be integrated in a power grid and related power equipment thereof, may also exist independently, and may also be a local server or a cloud server for processing an equipment maintenance process, and the embodiment of the present invention is not limited. As shown in fig. 2, the intelligent generation method of the equipment overhaul plan may include the following operations:

201. and acquiring the topological connection parameters of the target equipment network.

202. And acquiring the overhaul record of each target device in the target device network.

203. And determining the maintenance parameters of the target equipment network according to all the maintenance records.

204. And generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters.

205. And updating the overhaul grade of each target device in the target device network according to the preset overhaul grade table, the preset updating condition and the overhaul parameter of the target device network to obtain the target overhaul grade of each target device.

In the embodiment of the present invention, optionally, the preset overhaul grade table may be preset according to the overhaul scale and the shutdown time of the equipment, for example, the overhaul of the relevant power equipment in the power grid may be divided into four grades, i.e., a grade a, a grade B, a grade C, and a grade D, where the grade a is to completely remove all main equipment of the generator, overhaul, clean, lift out the stator and the rotor, and reform and replace the equipment. The maintenance worker has the longest downtime and is the most thorough; b, equipment is not dismantled, and only defects are treated in a targeted manner, and the equipment is modified and cleaned and checked; the C level is only general routine inspection, equipment cleaning and general defect handling; and the grade D is the temporary shutdown maintenance with the lightest maintenance degree. Optionally, the target overhaul level of the target device refers to an overhaul level of the target device after a certain update.

In this embodiment of the present invention, optionally, the preset update condition refers to that the maintenance level of the target device is updated at regular time according to a certain time period, where the time period may be set by a human subjectively or may be automatically generated by a target device network, and the embodiment of the present invention is not limited. Further optionally, the update period of each target device may be freely adjusted according to the difference characteristic of the target device.

206. And judging whether at least one first target device exists in the target device network.

In this embodiment of the present invention, optionally, the current overhaul level of the target device refers to the overhaul level of the target device before a certain update. Further optionally, the first target device is used to refer to a target device in the target device network whose repair level after a certain update changes, for example, if a repair level (current repair level) of a transformer in a certain power grid before the repair level is updated is class C, and an updated repair level (target repair level) is class D, the transformer may be referred to by the first target device.

207. And when at least one first target device exists in the target device network, updating the device maintenance plan corresponding to the target device network according to the topology connection parameter, the maintenance parameter, the current maintenance level of each target device, all the first target devices and the target maintenance levels corresponding to the first target devices.

In the embodiment of the present invention, optionally, when it is determined that at least one first target device whose repair level changes after a certain update exists in the target device network, a new device repair plan corresponding to the target device network is generated according to the topology connection parameter, the repair parameter, and the repair levels of all the updated target devices, and the original device repair plan is replaced by the newly generated device repair plan.

In the embodiment of the present invention, for other descriptions of steps 201 to 204, please refer to the detailed description of steps 101 to 104 in the first embodiment, and the embodiment of the present invention is not described again.

Therefore, by implementing the embodiment of the invention, the maintenance parameters of the corresponding target equipment network can be determined according to the maintenance record of each target equipment, and the corresponding equipment maintenance plan can be generated according to the topological connection parameters and the maintenance parameters of the target equipment network, so that the accuracy of making the equipment maintenance plan can be improved, and the maintenance efficiency of the equipment can be further improved; the labor cost for equipment maintenance can be reduced, and the production benefit of the equipment is improved; the maintenance levels corresponding to all the target equipment in the target equipment network can be regularly updated, the equipment maintenance plan corresponding to the target equipment network is updated, and the equipment maintenance plan can be regularly updated so as to improve the real-time performance of the corresponding plan; the accuracy and pertinence of related maintenance operation in the equipment maintenance plan can be improved to a greater extent, and further the feasibility and effectiveness of the equipment maintenance plan are improved.

In an optional embodiment, before generating the equipment servicing plan of the target equipment network according to the topology connection parameters and the servicing parameters in step 204, the method further includes:

determining the current maintenance level of each target device in the target device network according to a preset maintenance level table and maintenance parameters of the target device network;

the step 204 of generating the equipment maintenance plan of the target equipment network according to the topology connection parameter and the maintenance parameter may include the following operations:

In this alternative embodiment, the device detection plan may optionally indicate periodic detection efforts for all target devices in the network of target devices. For example, the equipment detection plan may instruct to periodically detect the relevant power equipment in a certain power grid, perform detection sequence arrangement according to the detection level corresponding to each power equipment before detection, perform shutdown operation on the detection equipment and the relevant equipment during detection according to the corresponding equipment shutdown parameters, and perform record analysis on the detection result. This is favorable to guaranteeing feasibility and the security of detection work, improves detection efficiency.

In this alternative embodiment, the device failure repair plan may optionally indicate that all failed target devices in the target device network are repaired. For example, when a transformer and a generator in a power grid fail simultaneously, the equipment failure repair plan can indicate the relevant repair operations (e.g., repair sequence, specific repair procedures, etc.) of the failed transformer and generator according to the corresponding service level, service parameters.

Therefore, the optional embodiment can generate a corresponding equipment detection plan and/or an equipment fault repair plan according to the outage parameters and the overhaul parameters of the target equipment network and the corresponding overhaul grades of each target equipment, can detect the running state of the equipment regularly, and can further find and correct possible state problems of the target equipment in time, so that the fault probability of the target equipment is reduced; the repair pertinence of the failed equipment can be improved, and the generated revenue loss caused by equipment failure is reduced.

In yet another optional embodiment, before generating the equipment servicing plan of the target equipment network according to the topological connection parameter and the servicing parameter in step 204, the method further includes:

determining the maintenance cycle of each target device according to the service life cycle of each target device and the corresponding maintenance record;

the step 204 of generating the equipment maintenance plan of the target equipment network according to the topology connection parameter and the maintenance parameter may further include the following operations:

In this alternative embodiment, the device lifecycle device optionally refers to the time that the target device has elapsed from being placed into service until being technically or economically unsuited to continue service and exiting service. Further optionally, the determination manner of the maintenance cycle of the target device may specifically be: and preliminarily dividing the corresponding maintenance period according to the service life period of the target equipment, and combining the corresponding maintenance record in the subsequent use to properly adjust the subsequent maintenance period.

In this alternative embodiment, the equipment maintenance plan is optionally used to instruct the operation of performing equipment maintenance on all target equipment in the target equipment network on a regular basis. For example, the motor oil in the generator is consumed after the generator works for a certain time, and if the generator is not replenished in time, certain abrasion is generated on the generator equipment, so that the motor oil of the generator can be replenished at regular time through the established equipment maintenance plan instruction.

Therefore, the optional embodiment can determine the corresponding maintenance cycle according to the equipment life cycle of the target equipment, further formulate the equipment maintenance plan corresponding to the target equipment network, and customize the corresponding maintenance plan according to different life characteristics of the equipment, thereby being beneficial to improving the maintenance efficiency of the target equipment and further reducing the fault probability of the target equipment; the method and the device can be beneficial to improving the pertinence of the equipment maintenance plan, and further reduce the maintenance cost of the whole target equipment network.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent generation device for an equipment maintenance plan according to an embodiment of the present invention. The device for intelligently generating the equipment maintenance plan described in fig. 3 may be applied to daily maintenance of engineering-related equipment, for example, daily maintenance of a power grid and related equipment thereof, and the embodiment of the present invention is not limited thereto. Optionally, the apparatus may be implemented by an equipment maintenance system, where the equipment maintenance system may be integrated in a power grid and related power equipment thereof, may also exist independently, and may also be a local server or a cloud server for processing an equipment maintenance process, and the embodiment of the present invention is not limited. As shown in fig. 3, the intelligent generation device of the equipment overhaul plan may include:

an obtaining module 301, configured to obtain a topology connection parameter of a target device network, where the target device network includes at least two target devices, and the topology connection parameter is used to indicate an association relationship between target devices having an association relationship in the target device network; acquiring a maintenance record of each target device in the target device network;

a determining module 302, configured to determine, according to all the maintenance records, maintenance parameters of the target device network, where the maintenance parameters include a device maintenance risk and/or a device maintenance benefit of each target device;

a generating module 303, configured to generate an equipment maintenance plan of the target equipment network according to the topology connection parameter and the maintenance parameter, where the equipment maintenance plan includes at least one of an equipment detection plan, an equipment fault repair plan, and an equipment maintenance plan.

It can be seen that the intelligent generation device implementing the equipment overhaul plan described in fig. 3 can determine the overhaul parameters of the corresponding target equipment network according to the overhaul records of each target equipment, and generate the corresponding equipment overhaul plan according to the topological connection parameters and the overhaul parameters of the target equipment network, so that the accuracy of making the equipment overhaul plan can be improved, and the overhaul efficiency of the equipment can be further improved; the labor cost for equipment maintenance can be reduced, and the production benefit of equipment is improved.

In an optional embodiment, the determining module 302 is further configured to:

after the obtaining module 301 obtains the topology connection parameter of the target device network, according to the topology connection parameter, determining associated device information corresponding to each target device in the target device network, where the associated device information corresponding to each target device is used to indicate at least one other target device having an association relationship with the target device;

the generating module 303 is further configured to generate a device outage parameter of the target device network according to all the associated device information, where the device outage parameter is used to indicate and record outage time and/or outage cost of each target device and at least one other target device having an association relationship with the target device.

It can be seen that the intelligent generation device implementing the equipment maintenance plan described in fig. 3 can generate the corresponding equipment outage parameters according to the topology connection parameters of the target equipment network, and can integrally arrange the outage of the target equipment performing maintenance work and other equipment related to the target equipment, thereby reducing the repeated outage of the target equipment in the maintenance process; the shutdown time of the target equipment can be reasonably arranged, the equipment shutdown cost is further reduced, and therefore the equipment overhaul income and the equipment overhaul efficiency are improved.

In another optional embodiment, the specific manner of determining the service parameters of the target device network by the generating module 303 according to all the service records includes:

It can be seen that the intelligent generation device for implementing the overhaul plan of the equipment described in fig. 3 can determine the respective corresponding load supply parameters according to the overhaul records of each target equipment, determine the overhaul risks of the corresponding target equipment network (the overhaul risks also include equipment failure risks), and determine the corresponding overhaul risks according to the different overhaul records of each target equipment, thereby effectively improving the evaluation accuracy of the overhaul risks, and further being beneficial to making a targeted overhaul plan according to the risk evaluation, and further improving the overhaul efficiency of the target equipment.

In another optional embodiment, the specific manner of determining the service parameters of the target device network by the generating module 303 according to all the service records further includes:

and updating the overhaul parameters of the target equipment network according to all the overhaul records, the equipment shutdown parameters and all the overhaul risk difference values, wherein the overhaul parameters specifically comprise the equipment overhaul income.

It can be seen that the intelligent generation device for implementing the overhaul plan of the equipment described in fig. 3 can determine the overhaul risk difference corresponding to each target equipment according to the overhaul records of the target equipment, so as to update the overhaul income of the target equipment, and can update the corresponding overhaul parameters according to each overhaul of the target equipment, so that the information accuracy and the real-time performance of the overhaul parameters are improved, and the overhaul efficiency of the equipment is further improved.

In another alternative embodiment, as shown in fig. 4, the apparatus for intelligently generating the equipment overhaul plan further includes:

the updating module 304 is configured to update the overhaul level of each target device in the target device network according to the preset overhaul level table, the preset updating condition, and the overhaul parameter of the target device network, so as to obtain a target overhaul level of each target device;

a determining module 305, configured to determine whether at least one first target device exists in the target device network, where a current overhaul level of the first target device is different from a target overhaul level of the first target device;

the updating module 304 is further configured to, when the determining module 305 determines that at least one first target device exists in the target device network, update the device overhaul plan corresponding to the target device network according to the topology connection parameter, the overhaul parameter, the current overhaul level of each target device, all first target devices, and their respective corresponding target overhaul levels.

It can be seen that the intelligent generation device implementing the equipment overhaul plan described in fig. 4 can periodically update the overhaul levels corresponding to all the target equipment in the target equipment network, update the equipment overhaul plan corresponding to the target equipment network, and can update the equipment overhaul plan regularly to improve the real-time performance of the corresponding plan; the accuracy and pertinence of related maintenance operations in the equipment maintenance plan can be improved to a greater extent, and further the feasibility and effectiveness of the equipment maintenance plan are improved.

In yet another alternative embodiment, the determining module 302 is further configured to:

before the generating module 303 generates the equipment maintenance plan of the target equipment network according to the topology connection parameters and the maintenance parameters, determining the current maintenance level of each target equipment in the target equipment network according to a preset maintenance level table and the maintenance parameters of the target equipment network;

the specific way for generating the equipment maintenance plan of the target equipment network by the generating module 303 according to the topology connection parameter and the maintenance parameter includes:

It can be seen that the intelligent generation device implementing the equipment overhaul plan described in fig. 4 can generate a corresponding equipment detection plan and/or an equipment fault repair plan according to the shutdown parameters and the overhaul parameters of the target equipment network and the overhaul grades of each corresponding target equipment, and can detect the running state of the equipment regularly, and further can find and correct possible state problems of the target equipment in time, thereby reducing the fault probability of the target equipment; the method can improve the repair pertinence of the failed equipment, and further reduce the generated revenue loss caused by the equipment failure.

In another optional embodiment, the obtaining module 301 is further configured to:

before the generating module 303 generates the equipment maintenance plan of the target equipment network according to the topology connection parameters and the maintenance parameters, acquiring the equipment life cycle of each target equipment in the target equipment network;

the determining module 302 is further configured to determine a maintenance cycle of each target device according to the device life cycle of each target device and the corresponding maintenance record;

the specific manner of generating the device overhaul plan of the target device network by the generating module 303 according to the topology connection parameter and the overhaul parameter further includes:

It can be seen that the intelligent generation device implementing the equipment overhaul plan described in fig. 4 can determine the corresponding maintenance cycle according to the equipment life cycle of the target equipment, and further make the equipment maintenance plan corresponding to the target equipment network, and can customize the corresponding maintenance plan according to different life characteristics of the equipment, which is beneficial to improving the maintenance efficiency of the target equipment, and further reducing the failure probability of the target equipment; the method and the device can be beneficial to improving the pertinence of the equipment maintenance plan, and further reduce the maintenance cost of the whole target equipment network.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent generation apparatus for an equipment overhaul plan according to an embodiment of the present disclosure. As shown in fig. 5, the intelligent generation device for the equipment overhaul plan may include:

a memory 401 storing executable program code;

a processor 402 coupled to a memory 401;

the processor 402 calls the executable program code stored in the memory 401 to execute the steps in the method for intelligently generating the equipment servicing plan described in the first embodiment or the second embodiment of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and the computer instructions are used for executing the steps in the intelligent generation method of the equipment maintenance plan described in the first embodiment or the second embodiment of the invention when being called.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the method for intelligently generating an equipment overhaul plan 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 the embodiments 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 method and the apparatus for intelligently generating an equipment maintenance plan disclosed in the embodiment of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solution of the present invention, rather than limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill 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

1. An intelligent generation method of an equipment overhaul plan, characterized in that the method comprises:

2. The intelligent generation method of an equipment overhaul plan according to claim 1, wherein after the obtaining of the topological connection parameters of the target equipment network, the method further comprises:

and generating a device shutdown parameter of the target device network according to all the associated device information, wherein the device shutdown parameter is used for indicating and recording shutdown time and/or shutdown cost of each target device and at least one other target device having an association relation with the target device.

3. The intelligent generation method of an equipment overhaul plan according to claim 1 or 2, wherein before the generating of the equipment overhaul plan of the target equipment network according to the topological connection parameter and the overhaul parameter, the method further comprises:

determining the current overhaul grade of each target device in the target device network according to a preset overhaul grade table of the target device network and the overhaul parameters;

and generating an equipment maintenance plan of the target equipment network according to the equipment outage parameters, the maintenance parameters and the current maintenance level of each target equipment, wherein the equipment maintenance plan specifically comprises an equipment detection plan and/or an equipment fault repair plan of the target equipment network.

4. The intelligent generation method of an equipment overhaul plan according to claim 3, wherein before the generating of the equipment overhaul plan for the target equipment network according to the topological connection parameter and the overhaul parameter, the method further comprises:

5. The intelligent generation method of an equipment overhaul plan according to claim 2, wherein the overhaul record includes at least one of the overhaul number, overhaul time, overhaul cost, and overhaul state of the target equipment;

6. The method for intelligently generating an equipment overhaul plan according to claim 5, wherein the determining overhaul parameters of the target equipment network according to all the overhaul records further comprises:

7. The intelligent generation method of an equipment overhaul plan according to any one of claims 1 to 6, further comprising:

and when at least one first target device exists in the target device network, updating a device overhaul plan corresponding to the target device network according to the topological connection parameter, the overhaul parameter, the current overhaul grade of each target device, all the first target devices and the corresponding target overhaul grades thereof.

8. An apparatus for intelligent generation of an equipment servicing plan, the apparatus comprising:

and the generating module is used for generating an equipment maintenance plan of the target equipment network according to the topological connection parameters and the maintenance parameters, wherein the equipment maintenance plan comprises at least one of an equipment detection plan, an equipment failure repair plan and an equipment maintenance plan.

9. An apparatus for intelligently generating a plant service plan, the apparatus comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor invokes the executable program code stored in the memory to perform the method for intelligently generating an equipment servicing plan as claimed in any one of claims 1 to 7.

10. A computer storage medium storing computer instructions which, when invoked, perform a method for intelligent generation of an equipment servicing plan according to any one of claims 1 to 7.