CN112508359A - Equipment management system and method - Google Patents
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Abstract
Disclosed herein are a device management system and a device management method. The equipment management system comprises a corrosion monitoring module, a corrosion diagnosis module and a control module, wherein the corrosion monitoring module is set to acquire corrosion state parameters of equipment and generate an equipment corrosion diagnosis result; the risk evaluation module is set to determine an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result; the maintenance management module is arranged for generating and issuing an equipment maintenance work order according to the equipment maintenance strategy; wherein the equipment is the static equipment on the ground of oil field.
Description
Technical Field
The present disclosure relates to, but not limited to, the field of equipment management and maintenance, and more particularly, to an equipment management system and method applied to oilfield equipment.
Background
The oil field ground static equipment mainly comprises an atmospheric storage tank, a produced water storage tank, a three-phase separator, a dehydrator, a desalter, a crude oil stabilizing tower, a pressure vessel, a buried gathering and transportation pipeline and the like. For oil fields, regardless of their size, these static devices are inevitably in widespread use. In the use process of the static equipment, as corrosive media generally flow in the static equipment, the external part is influenced by the atmosphere, soil, water vapor, temperature and the like, and the service life and the safe operation of the equipment are greatly influenced.
Statistics show that 80% of the risk loss is often caused by 20% of the critical equipment failures. The traditional inspection mode is passive and has a fixed inspection period, although the safety of equipment can be ensured, the traditional inspection mode has some defects: the inspection or overhaul finds that most of equipment is intact, and the phenomenon of excessive inspection and overhaul exists, so that the inspection and overhaul resources are wasted; for a small amount of equipment with large potential safety hazard and high risk, an effective inspection method cannot be selected for key inspection aiming at the failure mechanism, and the phenomenon of invalid inspection and maintenance exists, so that the risk is difficult to control effectively. Therefore, the excessive inspection and the ineffective inspection and maintenance not only waste limited inspection and maintenance funds and increase the production stop loss, but also have undesirable effects.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the disclosure provides a device management system and method, which can improve the intelligent level of device management and maintenance, improve management effectiveness and reduce device safety risks.
The disclosed embodiment provides a device management system, including,
the corrosion monitoring module is set to acquire corrosion state parameters of the equipment and generate an equipment corrosion diagnosis result;
the risk evaluation module is set to determine an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
the maintenance management module is arranged for generating and issuing an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
In some exemplary embodiments, the corrosion monitoring module generates a device corrosion diagnostic result, including:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
In some exemplary embodiments, the corrosion monitoring module is configured to:
determining the equipment corrosion diagnosis result according to material corrosion data, corrosion mechanism data, anticorrosion process data, collected corrosion state parameters and corrosion case data of relevant equipment in the basic configuration data of the equipment;
wherein the equipment corrosion diagnosis result comprises: equipment corrosion rate, equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
In some exemplary embodiments, the corrosion case data for the associated equipment includes: historical data of failed or overhauled equipment; the historical data includes: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
In some exemplary embodiments, the risk assessment module is configured to:
and according to the basic configuration data of the equipment and the corrosion diagnosis result of the equipment, carrying out risk-based detection (RBI) risk assessment, and determining the equipment risk level and an equipment maintenance strategy corresponding to the determined equipment risk level.
In some exemplary embodiments, the system further comprises: and the data lake is set to store basic configuration data of the equipment, the corrosion state parameters, the corrosion diagnosis result, the equipment risk level, the corresponding equipment maintenance strategy and the equipment maintenance work order.
An embodiment of the present disclosure also provides a device management method, including,
collecting corrosion state parameters of equipment and generating an equipment corrosion diagnosis result;
determining an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
generating and issuing an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
In some exemplary embodiments, the generating the device corrosion diagnostic result comprises:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.
Drawings
FIG. 1 is a block diagram of a device management system according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of another device management system in an embodiment of the present disclosure;
fig. 3 is a flowchart of a device management method in an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
Therefore, based on the existing problems of the static equipment management of the oil field at present, an equipment management system is provided. The method can be used for managing and maintaining the oil field surface static equipment. The system is based on an automation technology and a communication technology, combines an advanced information technology, faces to the operation and management requirements of the oil field ground static equipment, and forms an intelligent maintenance system suitable for the oil field enterprise ground static equipment. The equipment maintenance system is developed, professional technical management is carried out on the oil field ground static equipment, the actual production problem is solved, and the equipment maintenance system has great significance for safe and efficient production of the oil field.
Example one
The embodiment of the present disclosure provides an apparatus management system 10, a system structure of which is shown in fig. 1, including:
the corrosion monitoring module 101 is configured to acquire corrosion state parameters of the equipment and generate an equipment corrosion diagnosis result;
the risk evaluation module 102 is configured to determine an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
the maintenance management module 103 is configured to generate and issue an equipment maintenance work order according to the equipment maintenance strategy;
the data lake 104 is configured to store basic configuration data of the equipment, the corrosion state parameters, the corrosion diagnosis result, the equipment risk level, the corresponding equipment maintenance strategy, the equipment maintenance work order, and the like. That is, the data lake 104 is used to store all data entered, collected and generated by the equipment management system,
in some exemplary embodiments, each module in the device management system may adopt a separate server, or one or more modules may share a server; and is not limited to a specific hardware form of the server.
In some exemplary embodiments, the device management system further comprises an asset management module 105; the asset management module 105 is configured to collect or import device data of the surface static devices of the oilfield enterprise, and store the device data in the data lake 104, where the device data includes: basic configuration data of the device. Wherein the basic configuration data of the device comprises: material corrosivity data, corrosion mechanism data and anticorrosion process data. The asset management module 105 may collect device data in various manners, such as administrator input, file import, or external interface.
In some exemplary embodiments, the texture corrosivity data comprises at least one of: material composition and proportion, corrosion rate, working temperature and pressure and the like. The corrosion mechanism data includes at least one of: the type of corrosion that occurs, for example: such as hydrogen sulfide corrosion, carbon dioxide corrosion, etc., represent factors that cause corrosion to equipment. The corrosion protection process data includes at least one of the following data: anti-corrosion measures, anti-corrosion materials, and the like.
In some exemplary embodiments, the base configuration data of the device further comprises at least one of: equipment ledger, equipment drawings, technical data, process data, inspection data, maintenance data, operation data, management data, financial data;
in some exemplary embodiments, the device data further comprises: device operating status data; the operational status data of the device includes at least one of: operating parameters and operating states.
In some exemplary embodiments, the corrosion monitoring module 101 is configured to acquire a corrosion status parameter of the device using an information acquisition device or a sensor. In some exemplary embodiments, the corrosion state parameters include: the actual corrosion rate.
In some exemplary embodiments, the corrosion rate of the device is collected using a corrosion probe; the thickness of a certain part or a certain part of the equipment can be measured by using ultrasonic thickness measurement and the like by individual equipment, so that the actual corrosion rate of the equipment can be obtained. For example, a corrosion probe is installed in a pipe, and the corrosion rate of the pipe is measured; and carrying out ultrasonic thickness measurement on the crude oil storage tank, measuring the wall thickness of the crude oil storage tank, and calculating the actual corrosion rate.
The corrosion monitoring technology is commonly used by a hanging piece weight loss method, a resistance probe method, an inductance probe method, a linear activation resistance method and the like. Different monitoring techniques have different principles, for example, a resistance probe measures the corrosion rate according to the resistance change of the resistance probe caused by corrosion; the inductance probe method determines the corrosion rate by measuring the decrease in thickness of the sensing element based on the change in inductive reactance. Those skilled in the art can implement the method according to the related art. The specific corrosion monitoring scheme is not intended to be limiting and protected by the present application.
In some exemplary embodiments, the corrosion monitoring module 101 is configured to generate a device corrosion diagnosis result according to the basic configuration data of the device and the collected corrosion state parameters of the device, and store the collected corrosion state parameters and the generated device corrosion diagnosis result in the data lake 104.
In some exemplary embodiments, the device management system further includes: an erosion case module 106; the corrosion case module 106 is configured to collect historical data relating to corrosion of failed or replaced equipment as reference data for corrosion diagnostics.
In some exemplary embodiments, the corrosion monitoring module 101 is configured to generate a device corrosion diagnosis result according to the material corrosion data, the corrosion mechanism data, the corrosion prevention process data, and the collected corrosion state parameters of the device in the basic configuration data of the device. The equipment corrosion diagnosis result comprises: equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
In some exemplary embodiments, the corrosion monitoring module 101 is configured to measure an actual corrosion rate of the equipment on site through a corrosion probe or sensor, and to import basic configuration data of the equipment, such as material, wall thickness, working temperature and pressure, from the data lake, and then perform corrosion diagnosis, generate an equipment corrosion diagnosis result (including an equipment corrosion prevention strategy), and import the actual corrosion rate into the risk assessment module 102 through the data lake 104 for risk assessment.
In some exemplary embodiments, the corrosion monitoring module 101 is configured to generate a device corrosion diagnosis result using historical data related to corrosion collected and saved by the corrosion case module 106 based on the basic configuration data of the device and the collected corrosion state parameters of the device, and save the collected corrosion state parameters and the generated device corrosion diagnosis result in the data lake 104.
In some exemplary embodiments, the risk assessment module 102 is configured to perform an RBI risk assessment (also referred to as an RBI risk level assessment) according to the basic configuration data of the equipment and the corrosion diagnosis result, and generate a risk level of the equipment and a maintenance strategy corresponding to the risk level.
The risk assessment of the RBI (Risk Based inspection) is a general international static equipment risk management methodology and has matched domestic and foreign standards for implementation. As known by those skilled in the art, RBI risk assessment is a methodology for quiet equipment risk management, and relates to specific analysis and research of equipment in specific plant areas and specific working conditions. The protocol provided by the present disclosure performs risk assessment according to this methodology, without defining specific assessment criteria or steps.
The RBI is a set of methodology for risk management of quiet equipment, and is supported by the International standards API 581. Through the implementation of RBI, equipment in a factory can be sequenced according to the risk, so that concentrated manpower and material resources are prior to high-risk equipment, and the equipment with low risk properly prolongs the overhaul time. And indicate the defect type, detection part, monitoring method and detection period of the high-risk equipment. The implementation process of the RBI comprises the following steps: 1, collecting, sorting and recording data; 2, determination of a corrosion loop and a material flow loop; 3, risk assessment; 4, making a check plan and risk reduction measures; 5 updating and improving. The API specifies the data type to be collected, the dividing principle of the corrosion loop, the calculation method of the risk and the establishment of the maintenance strategy. The RBI technology is currently soft-formed, known as ORBIT ONSHORE developed by Norwegian classification society (DNV), RB eye of French Commission (BV), T-OCA and T-REX developed by Tischuk, UK, and PCMS developed by Soud.
In some exemplary embodiments, the risk level ranks the risk of the equipment within the plant to facilitate concentrating human and material resources over high risk equipment; it is possible to use: the risk rating is calculated as the probability of failure and the consequence of failure.
In some exemplary embodiments, the service policy includes at least one of: defect type, inspection site, inspection mode, inspection cycle.
In some exemplary embodiments, the overhaul management module 103 is configured to obtain the risk level and the overhaul strategy of the oilfield surface static equipment from the data lake for analysis, and generate a maintenance work order.
In some exemplary embodiments, the repair management module 103 performs an analysis including: and analyzing according to the risk level and the maintenance strategy of the oilfield surface static equipment obtained from the data lake, concentrating equipment with high priority risk of manpower and material resources, and reasonably arranging the manpower and material resources to determine a maintenance work order by combining maintenance strategy information.
In some exemplary embodiments, the corrosion case module 106 is configured to collect corrosion-related historical data for failed equipment or equipment replaced due to corrosion or maintained equipment, wherein the corrosion-related historical data includes at least one of: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
Since the equipment management system is a closed-loop system, taking the storage tank as an example, after the risk assessment is performed on the storage tank and the risk reduction measures (maintenance or overhaul is performed), the system collects the information of the storage tank again for risk assessment, and judges whether the executed risk reduction measures are effective or not.
For corrosion diagnosis, the historical collection records of corrosion state parameters and the equipment maintenance record of equipment at each part of a plant area are stored and collated, and a comparison standard is provided after the next corrosion state parameter collection so as to judge the correctness and rationality of collected data. In addition, after the historical maintenance record is owned, the maintenance record can be analyzed to judge the applicability and the effectiveness of the maintenance record, so that reference is provided for the generation of the next maintenance strategy. The analysis and judgment model and algorithm adopted in the method can adopt related technical schemes, for example, an intelligent learning scheme can be adopted to realize the target. The protocols provided by the present disclosure are not limited to a particular assay protocol.
In some exemplary embodiments, the device management system further includes: the device operation monitoring module 107 is used for remotely monitoring the static equipment in the oil field, and acquiring real-time operation state parameters of the equipment, basic data of the equipment, corrosion monitoring data, corrosion diagnosis results, corrosion failure cases and the like. In some exemplary embodiments, the device management system further includes: the equipment archive management module 108 is used for managing archives, data, process flows, process pipeline basic information and equipment position level information of the whole life cycle of the oil field static equipment;
in some exemplary embodiments, the device management system further includes: the inventory management module 109 is used for establishing a complete asset device and resource libraries of suppliers, servers and contractors of spare parts of the asset device in the data lake, managing inventory materials, spare parts and tools of users, and rapidly inquiring the spare parts and consumption conditions of each device. And establishing a perfect purchasing management flow and program according to the management requirements of the user to generate a purchasing plan.
In some exemplary embodiments, the device management system further includes: and the client 110 is used for interacting with the related modules to realize functions of information query, data configuration and the like.
In some exemplary embodiments, the corrosion monitoring module 101 further comprises a corrosion monitoring database configured to store the collected corrosion state parameters and/or equipment corrosion diagnostic results.
In some exemplary embodiments, the risk assessment module 102 further includes a risk assessment database configured to store the determined equipment risk level and the equipment overhaul policy corresponding to the equipment risk level.
In some exemplary embodiments, the service management module 103 further comprises a service management database configured to store the generated equipment service work order and/or service record.
In some exemplary embodiments, the asset management module 105 further comprises an asset management database configured to store the device data.
In some exemplary embodiments, the related functions of the data lake 104 can be replaced by a database corresponding to each module, and the access of data between the modules is performed through a corresponding database interface.
It can be seen that the equipment management system provided by the present disclosure collects basic information such as equipment running state parameters, equipment ledgers, drawings, data and the like by the asset management module through the data communication network and stores the basic information in the data lake; the corrosion monitoring module acquires basic configuration data of the equipment from the data lake through a data network, acquires corrosion state data of the equipment through online monitoring, utilizes the corrosion case module to evaluate effectiveness of corrosion prevention measures such as medium corrosion, process corrosion prevention and corrosion monitoring, simultaneously predicts corrosion development trend of the equipment, and formulates a corrosion prevention strategy. And the risk evaluation module acquires basic data and corrosion diagnosis results of equipment from the data lake through a data network, evaluates the risk type and the risk level and makes a maintenance strategy, and stores the evaluation result and the maintenance strategy in the data lake. The overhaul management module acquires the risk types, the risk levels and the overhaul strategies of the oil field ground static equipment from the data lake through the data network, generates a targeted maintenance mode and automatically transfers the maintenance mode to an execution department in a form of a work order to carry out scientific maintenance on the equipment, and therefore the risk level of the equipment is reduced. In addition, with the continuous accumulation of the corrosion cases and the overhaul historical data, the corrosion case module collects the historical data, so that the general corrosion mechanism, the corrosion model, the risk type and the risk level and the effective corrosion prevention strategy and maintenance mode can be counted conveniently by big data, and a basis is provided for the predictive maintenance of the key static equipment. Meanwhile, with the updating of data, secondary risk inspection and corrosion evaluation are implemented, a risk management strategy and an anti-corrosion strategy are revised in time to form closed-loop management, and digital management, flow operation, intelligent diagnosis, operation and maintenance and the like are carried out on the oil field ground static equipment by combining other management systems and technical data.
Example two
The embodiment of the present disclosure provides an apparatus management system 20, a system structure of which, as shown in fig. 2, includes:
the corrosion monitoring module 201 is set to acquire corrosion state parameters of the equipment and generate an equipment corrosion diagnosis result;
a risk evaluation module 202 configured to determine an equipment risk level and an equipment overhaul strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
the maintenance management module 203 is configured to generate and issue an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
In some exemplary embodiments, the corrosion monitoring module 201 generates a device corrosion diagnostic result, including:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
In some exemplary embodiments, the corrosion monitoring module 201 is configured to:
determining the equipment corrosion diagnosis result according to material corrosion data, corrosion mechanism data, anticorrosion process data, collected corrosion state parameters and corrosion case data of relevant equipment in the basic configuration data of the equipment;
wherein the equipment corrosion diagnosis result comprises: equipment corrosion rate, equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
In some exemplary embodiments, the corrosion case data for the associated equipment includes: historical data of failed or overhauled equipment; the historical data includes: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
In some exemplary embodiments, the risk assessment module 202 is configured to:
and performing risk-based RBI risk assessment according to the basic configuration data of the equipment and the corrosion diagnosis result of the equipment, and determining the equipment risk level and an equipment maintenance strategy corresponding to the determined equipment risk level.
In some exemplary embodiments, the system further comprises: a data lake 204 configured to store basic configuration data of the equipment, the corrosion state parameters, the corrosion diagnosis result, the equipment risk level, the corresponding equipment overhaul strategy, and the equipment overhaul work order.
EXAMPLE III
An embodiment of the present disclosure provides a device management method, a flow of which is shown in fig. 3, including,
step 301, collecting corrosion state parameters of equipment, and generating an equipment corrosion diagnosis result;
step 302, determining an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
303, generating and issuing an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
In some exemplary embodiments, the generating the device corrosion diagnostic result comprises:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
In some exemplary embodiments, the determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the collected corrosion state parameters and the corrosion case data of the relevant equipment comprises:
determining the equipment corrosion diagnosis result according to material corrosion data, corrosion mechanism data, anticorrosion process data, collected corrosion state parameters and corrosion case data of relevant equipment in the basic configuration data of the equipment;
wherein the equipment corrosion diagnosis result comprises: equipment corrosion rate, equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
In some exemplary embodiments, the corrosion case data for the associated equipment includes: historical data of failed or overhauled equipment; the historical data includes: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
The equipment management scheme provided by the disclosure comprehensively applies corrosion evaluation, an RBI (Risk Based inspection) risk inspection technology and an EAM (enterprise Asset management) enterprise Asset management technology, and proposes the concept of a data lake to establish a unified and comprehensive data set for the oil field, timely masters the corrosion and risk grade conditions of the oil field ground equipment, revises the equipment corrosion prevention strategy and the risk management strategy in real time, and effectively performs automatic and intelligent management on the oil field ground equipment from the technical aspect, so that the risk of the oil field ground equipment is controllable. In addition, the system reserves a docking port, and provides effective technical support for the integrity management of the digital/intelligent equipment of the oilfield enterprise. Wherein the enterprise asset management technique (system) comprises at least: 1. managing a work order; 2. preventive maintenance management; 3. state detection management; 4. managing equipment accounts; 5. standard operation plan and the like.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. A device management system, comprising,
the corrosion monitoring module is set to acquire corrosion state parameters of the equipment and generate an equipment corrosion diagnosis result;
the risk evaluation module is set to determine an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
the maintenance management module is arranged for generating and issuing an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
2. The system of claim 1,
the corrosion monitoring module generates a device corrosion diagnosis result, including:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
3. The system of claim 2,
the corrosion monitoring module is arranged as follows:
determining the equipment corrosion diagnosis result according to material corrosion data, corrosion mechanism data, anticorrosion process data, collected corrosion state parameters and corrosion case data of relevant equipment in the basic configuration data of the equipment;
wherein the equipment corrosion diagnosis result comprises: equipment corrosion rate, equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
4. The system of claim 2 or 3,
the corrosion case data of the associated equipment includes: historical data of failed or overhauled equipment; the historical data includes: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
5. The system of claim 1,
the risk assessment module is configured to:
and performing risk-based RBI risk assessment according to the basic configuration data of the equipment and the corrosion diagnosis result of the equipment, and determining the equipment risk level and an equipment maintenance strategy corresponding to the determined equipment risk level.
6. The system of claim 1, 2, 3 or 5,
the system further comprises: and the data lake is set to store basic configuration data of the equipment, the corrosion state parameters, the corrosion diagnosis result, the equipment risk level, the corresponding equipment maintenance strategy and the equipment maintenance work order.
7. A device management method, comprising,
collecting corrosion state parameters of equipment and generating an equipment corrosion diagnosis result;
determining an equipment risk level and an equipment maintenance strategy corresponding to the equipment risk level according to the equipment corrosion diagnosis result;
generating and issuing an equipment maintenance work order according to the equipment maintenance strategy;
wherein the equipment is the static equipment on the ground of oil field.
8. The method of claim 1,
the generating of the equipment corrosion diagnosis result comprises:
and determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment.
9. The method of claim 8,
determining the equipment corrosion diagnosis result according to the basic configuration data of the equipment, the acquired corrosion state parameters and the corrosion case data of the relevant equipment, wherein the method comprises the following steps:
determining the equipment corrosion diagnosis result according to material corrosion data, corrosion mechanism data, anticorrosion process data, collected corrosion state parameters and corrosion case data of relevant equipment in the basic configuration data of the equipment;
wherein the equipment corrosion diagnosis result comprises: equipment corrosion rate, equipment corrosion development trend, equipment residual life and equipment corrosion prevention strategy.
10. The method according to claim 8 or 9,
the corrosion case data of the associated equipment includes: historical data of failed or overhauled equipment;
the historical data includes: historical basic configuration data, historical collection records of corrosion state parameters and historical records of equipment maintenance.
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