CN115796845A - Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system - Google Patents
Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system Download PDFInfo
- Publication number
- CN115796845A CN115796845A CN202211617931.7A CN202211617931A CN115796845A CN 115796845 A CN115796845 A CN 115796845A CN 202211617931 A CN202211617931 A CN 202211617931A CN 115796845 A CN115796845 A CN 115796845A
- Authority
- CN
- China
- Prior art keywords
- equipment
- running time
- starting
- power plant
- stopping times
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses an intelligent electric power plant equipment regular inspection auxiliary decision method and system, which comprises the following steps: acquiring the accumulated running time and the starting and stopping times of each device which needs to be checked by the power plant at regular intervals; comparing the obtained accumulated running time of each device with respective running time threshold values, and comparing the start-stop times of each device with respective start-stop times threshold values; when the accumulated running time of the equipment is larger than or equal to the running time threshold or the starting and stopping times of the equipment are larger than or equal to the starting and stopping times threshold, an early warning signal is sent out, each equipment list needing to be checked periodically is obtained, the content, the scheduled inspection period, the responsibility specialty and the team group of the scheduled inspection item of the equipment are defined, the method counts the accumulated running time of the equipment and the starting and stopping times of the equipment through communication with a PI database, the maintenance task of the corresponding equipment is automatically triggered, and related maintenance personnel are reminded in a to-do manner.
Description
Technical Field
The invention belongs to the field of electric power enterprise equipment maintenance, and relates to an intelligent electric power plant equipment scheduled inspection auxiliary decision making system.
Background
The equipment regular maintenance of the power plant is divided into two categories: firstly, the operation of totalizing is overhauld after a certain period of time, if rotating equipment such as coal pulverizer, slurry circulating pump, air compressor machine, secondly, overhauls for a fixed time length, if equipment such as valve, thermal control electrical components and parts. The equipment that the power plant regularly need overhaul or change is huge in quantity, and the cycle of each equipment overhaul is inconsistent, and traditional artifical statistics is examined regularly and is examined inefficiently, appears missing item easily, neglected examination, influences the safe, the steady operation of equipment.
The method is characterized in that the maintenance time of accumulated operation time equipment such as a coal mill, a slurry circulating pump and the like is determined by calling curves such as current, voltage, power and the like of an SIS system to carry out operation time subsection statistics, and because the rotating equipment needs to be started and stopped frequently under different load states, some coal mills can only operate for 2 hours if the coal mills operate 24 hours a day. The equipment maintenance performed in a fixed time length usually adopts manual and annual plan. Because of equipment quantity is too huge, and each equipment regular inspection time is different, very easily causes equipment regular inspection omission statistics, leads to breaking down in the operation, causes the influence to unit safety and stability operation.
An auxiliary decision making system for regular inspection and inspection of intelligent power plant equipment is lacked.
The power plant equipment quantity is many, and the cycle of each overhaul of the equipments is inconsistent, and most equipment need do the periodic overhaul according to operating time, and traditional manual statistics examines the inefficiency regularly, appears missing item easily, neglects to examine, influences the safe, the steady operation of equipment. Two types of tip equipment currently have problems:
the statistics of the running time of the accumulated running time regular inspection equipment is that the running time is calculated in a segmented mode by calling analog quantities such as SIS system current and power curves, and due to the fact that the rotating equipment is frequently started and stopped in different load states, the required workload is huge and calculation errors exist when the running time is accumulated by manually counting hundreds of bench mills in 1 month.
The equipment for overhauling in fixed time is completely counted by the professional every year, and a manual and annual plan is adopted. Because of too huge equipment quantity, and each equipment is examined regularly the time difference, very easily cause equipment to examine regularly to miss statistics, lead to breaking down in the operation, cause the influence to unit safety and stability operation.
Disclosure of Invention
In order to solve the above problems, the present invention provides the following technical solutions: an intelligent electric power plant equipment regular-check auxiliary decision-making method comprises the following steps:
acquiring the accumulated running time and the starting and stopping times of each device of the power plant, which needs to be checked regularly;
comparing the obtained accumulated running time of each device with respective running time threshold values, and comparing the start-stop times of each device with respective start-stop times threshold values;
and when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold, sending out an early warning signal.
Further: the method comprises the steps of obtaining a list of each device needing regular inspection, and defining the content, the regular inspection period, the responsibility specialty and the team of the scheduled inspection item of the device.
Further: the method comprises the steps of obtaining the accumulated running time and the starting and stopping times of each device which needs to be checked regularly by the power plant, reading the switching value and the analog quantity through an interface of a PI database and a point table, and counting the accumulated running time and the starting and stopping times of the device.
Further, the method comprises the following steps: and the list of each device required to be checked regularly is acquired, and a list of the items to be checked regularly is generated according to the device period.
Further, the method comprises the following steps: and displaying the alarm signal.
An intelligent electric power plant equipment regular inspection assistant decision-making method device comprises the following steps:
an acquisition module: the system is used for acquiring the accumulated running time and the starting and stopping times of each device which needs to be checked regularly in the power plant;
a comparison module: the system comprises a control unit, a storage unit and a control unit, wherein the control unit is used for comparing the acquired accumulated running time of each device with respective running time threshold values and comparing the start-stop times of each device with respective start-stop time threshold values;
a judging module: and sending out an early warning signal when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold.
The alarm display module: and the display module is used for displaying the alarm signal.
The intelligent power plant equipment regular inspection auxiliary decision making system provided by the invention has the following advantages that 1) a regular inspection information input interface and an equipment ledger input interface are supported, a corresponding module has a function of reading excel form data, a function of importing batch data into a system is supported, and a function of inputting one piece of equipment data is supported; the method has the advantages that the method supports the importing of equipment codes and equipment ledger information, reduces the implementation workload of personnel in our factory, and inquires historical maintenance records of the equipment;
2) Establishing an equipment regular-inspection maintenance module, recording the coding information of the road inspection equipment, simultaneously inputting initial data of the equipment, supporting the recording of equipment inspection items and inspection time, and realizing the management of an inspection ledger;
3) And accumulating the running time and the starting and stopping times of the equipment by calling the analog quantity and the switching quantity of the early warning measuring point, and comparing the two indexes with the set time limit to carry out regular inspection and early warning on the equipment. The maintenance early warning management is realized, and the maintenance personnel can check the maintenance task which needs to be processed currently only by logging in the regular inspection system. Counting the accumulated running time length of the equipment and the starting and stopping times of the equipment by communicating with a PI (proportional integral) database, automatically triggering maintenance tasks of the corresponding equipment, and reminding related maintenance personnel in a to-be-handled transaction mode;
4) And checking the number of completed maintenance tasks, the number of maintenance tasks in execution, the number of maintenance tasks in an overdue period and the number of abandoned maintenance tasks according to days, weeks and months. Establishing an equipment scheduled inspection standard library, and defining the content, scheduled inspection period, responsibility departments and the like of equipment scheduled inspection projects;
5) And establishing equipment scheduled inspection statistics and realizing graphical display of the equipment scheduled inspection statistics, namely displaying the number of overhaul tasks finished every day, every week and every month, the number of overhaul tasks executed, the number of overhaul tasks in an overdue period, the number of overhaul tasks with the highest number of hung overhaul tasks and the number of abandoned overhaul tasks to a user through statistics and calculation of an equipment scheduled inspection assistant decision-making system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method;
FIG. 2 is a review order information entry interface diagram;
FIG. 3 is a diagram of a device ledger attachment import interface;
FIG. 4 is a diagram of a device information maintenance interface;
FIG. 5 is a weekly scheduled review plan push reminder cross-sectional view;
FIG. 6 is a cross-sectional view of the scheduled inspection equipment for each team;
FIG. 7 is a cross-sectional view of a device start-stop monitoring;
FIG. 8 is a cross-sectional view of a cumulative operating equipment library;
FIG. 9 is a cross-sectional view of statistics for each specialty, team, and machine inspection period;
FIG. 10 is a sectional view of the division ratio of professional and team equipment.
Detailed Description
It should be noted that, in the case of conflict, the embodiments and features of the embodiments of the present invention may be combined with each other, and the present invention will be described in detail with reference to the accompanying drawings and embodiments.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus that are known by one of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. Any specific values in all examples shown and discussed herein are to be construed as exemplary only and not as limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present invention, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the absence of any contrary indication, these directional terms are not intended to indicate and imply that the device or element so referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore should not be considered as limiting the scope of the present invention: the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
For ease of description, spatially relative terms such as "over 8230 \ 8230;,"' over 8230;, \8230; upper surface "," above ", etc. may be used herein to describe the spatial relationship of one device or feature to another device or feature as shown in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary terms "at 8230; \8230; above" may include both orientations "at 8230; \8230; above" and "at 8230; \8230; below". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and unless otherwise stated, the terms have no special meaning, and therefore, the scope of the present invention should not be construed as being limited.
FIG. 1 is a flow chart of a method;
an intelligent electric power plant equipment regular inspection assistant decision-making method comprises the following steps:
s1, acquiring each equipment list needing to be checked regularly, establishing an equipment scheduled inspection standard library, and defining the content, scheduled inspection period, responsibility specialty and team of equipment scheduled inspection items;
s2, acquiring the accumulated running time and the starting and stopping times of each device which needs to be checked regularly in the power plant;
s3, comparing the acquired accumulated running time of each device with respective running time threshold values, and comparing the starting and stopping times of each device with respective starting and stopping time threshold values;
s4, when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold, sending an early warning signal; performing equipment regular inspection and early warning according to the two indexes and the set time limit;
comparing the accumulated running time or the starting and stopping times early warning threshold of the equipment, automatically triggering the scheduled inspection task of the corresponding equipment when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment is more than or equal to the starting and stopping times threshold, and reminding relevant maintainers in a to-be-handled matter mode;
the accumulated running time and the starting and stopping times of each device, which need to be regularly checked by the power plant, are acquired through definition, the switching value and the analog quantity are read through an interface of a PI database, and the accumulated running time and the starting and stopping times of the device are counted.
The method is characterized in that the operation duration is calculated in a segmented mode by calling analog quantities such as SIS system current and power curves, the rotating equipment is started and stopped frequently in different load states, and the required workload is huge and calculation errors exist when the operation duration is accumulated by manually counting hundreds of benches for 1 month.
The early warning measuring points can detect analog quantity and switching quantity of equipment such as current and power curves, the equipment needing to be subjected to the regular inspection is subjected to the regular inspection and early warning according to comparison between the two indexes and set time limit by calling the analog quantity and the switching quantity of the early warning measuring points, accumulating the running time of the equipment and the starting and stopping times of the equipment.
And comparing the running accumulated time and the starting and stopping times with a set early warning threshold, if the accumulated running time a is greater than or equal to the set threshold b, executing the program, correspondingly triggering and pushing the scheduled inspection information of the corresponding equipment, and reminding related maintenance personnel in a to-be-handled transaction mode.
And S5, displaying the alarm signal, and carrying out scheduled inspection and inspection on the equipment by related maintainers according to the alarm signal and recording a scheduled inspection result so as to facilitate corresponding inquiry.
The steps S1/S2/S3/S4/S5 are executed in sequence;
the equipment comprises static equipment and dynamic equipment;
the method comprises the steps of obtaining the accumulated running time and the starting and stopping times of each device which needs to be regularly checked by the power plant, reading the switching value and the analog quantity through an interface of a PI database and a point table, and counting the accumulated running time and the starting and stopping times of the device.
And the list of each device needing to be checked regularly is obtained, and a list of the scheduled inspection items of the device to be executed by the relevant responsibility department is generated according to the device period.
Further, the method also comprises the step of providing an equipment ledger entry interface, fully utilizing basic data of the existing SAP, and enabling the decision-making assistant decision-making system to support importing equipment codes and equipment ledger information in a fixed format of an EXCLE table.
Furthermore, the method also comprises the step of supporting the inquiry of early warning information of the early warning measuring points, wherein the early warning information comprises early warning measuring point codes, early warning measuring point names, running accumulated time and equipment starting and stopping times. The running accumulated time length and the starting and stopping times of the equipment of one or more early warning measuring points in a certain date range can be inquired. The double-click recording supports the display of the detailed running accumulated time length of the early warning measuring point and the starting and stopping times of the equipment.
Further, the method also comprises the steps of coding the equipment according to a certain rule according to each equipment list which needs to be checked regularly;
further, generating a standing book according to the basic information of each equipment list needing to be checked regularly;
furthermore, according to the equipment coding information, simultaneously inputting equipment initial data, supporting recording of equipment maintenance items and maintenance time, and realizing management of maintenance ledgers;
furthermore, the method also comprises the steps of checking the number of completed maintenance tasks, the number of maintenance tasks in execution, the number of maintenance tasks in expiration and the number of abandoned maintenance tasks according to days, weeks and months. Establishing an equipment scheduled inspection standard library, and defining the content of equipment scheduled inspection projects, a scheduled inspection period, responsibility departments and the like to carry out equipment scheduled inspection;
and further, the method also comprises the step of displaying the number of the overhaul tasks finished every day, every week and every month, the number of the overhaul tasks in execution, the number of the overhaul tasks in an overdue period, the number of the overhaul tasks with the highest suspended overhaul number and the number of the abandoned overhaul tasks to a user through the statistics and calculation of the scheduled equipment inspection.
An intelligent electric power plant equipment regular inspection assistant decision-making method device is characterized in that: the method comprises the following steps:
an acquisition module: the system is used for acquiring the accumulated running time and the starting and stopping times of each device which needs to be checked regularly in the power plant;
a comparison module: the system comprises a control unit, a storage unit and a control unit, wherein the control unit is used for comparing the acquired accumulated running time of each device with respective running time threshold values and comparing the start-stop times of each device with respective start-stop time threshold values;
a judging module: and sending out an early warning signal when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold.
The device encoding module: the device list is used for coding the devices according to a certain rule according to the obtained list of each device which needs to be checked regularly;
standing book maintenance module: the system comprises a machine account generation module, a machine account generation module and a machine account checking module, wherein the machine account generation module is used for generating a machine account according to basic information of each equipment list needing to be checked regularly;
the equipment regular inspection maintenance module: the system is used for simultaneously inputting initial data of equipment according to the equipment coding information, supporting recording of equipment maintenance items and maintenance time and realizing management of maintenance ledgers;
the scheduled inspection plan function module: the system is used for checking the number of completed maintenance tasks, the number of maintenance tasks in execution, the number of overdue maintenance tasks and the number of abandoned maintenance tasks according to days, weeks and months, establishing an equipment scheduled inspection standard library, and defining the content of equipment scheduled inspection projects, scheduled inspection periods, responsibility departments and the like to carry out equipment scheduled inspection;
the equipment regular checking statistical module: the system is used for displaying the number of the overhaul tasks finished every day, every week and every month, the number of the overhaul tasks in execution, the number of the overhaul tasks in an overdue period, the number of the overhaul tasks with the highest suspended overhaul number and the abandoned overhaul task number to a user through the statistics and calculation of the scheduled equipment inspection.
The alarm display module: and the display module is used for displaying the alarm signal.
FIG. 2 is a review interface diagram of the system;
FIG. 3 is a diagram of the system equipment ledger attachment import interface;
FIG. 4 is a diagram of the system equipment information maintenance interface;
FIG. 5 is a cross-sectional view of the system pushing reminders for weekly scheduled exams;
FIG. 6 is a cross-sectional view of the scheduled inspection equipment of each team of the system;
FIG. 6 is a cross-sectional view of the system for monitoring start-stop of the device;
FIG. 7 is a cross-sectional view of the system rollup library;
FIG. 8 is a cross-sectional view of statistics of the system at each specialty, team, and machine inspection period;
FIG. 9 is a sectional view of the division ratio of professional and team equipment of the system.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the 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 scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. An intelligent electric power plant equipment regular inspection assistant decision-making method is characterized by comprising the following steps: the method comprises the following steps:
acquiring the accumulated running time and the starting and stopping times of each device of the power plant, which needs to be checked regularly;
comparing the obtained accumulated running time of each device with respective running time threshold values, and comparing the start-stop times of each device with respective start-stop times threshold values;
and when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold, sending out an early warning signal.
2. The intelligent electric power plant equipment scheduled inspection assistant decision method as claimed in claim 1, wherein: the method comprises the steps of obtaining each equipment list needing periodic inspection, and defining the content, the periodic inspection period, the responsibility specialty and the team of equipment periodic inspection items.
3. The intelligent electric power plant equipment scheduled inspection assistant decision method as claimed in claim 1, wherein: the method comprises the steps of obtaining the accumulated running time and the starting and stopping times of each device which needs to be checked regularly by the power plant, reading the switching value and the analog quantity through an interface of a PI database and a point table, and counting the accumulated running time and the starting and stopping times of the device.
4. The intelligent power plant equipment scheduled inspection assistant decision method as claimed in claim 1, wherein: and the list of each device required to be checked regularly is acquired, and a list of the items to be checked regularly is generated according to the device period.
5. The intelligent electric power plant equipment scheduled inspection assistant decision method as claimed in claim 1, wherein: and displaying the alarm signal.
6. The utility model provides an intelligent power plant equipment is examined regularly and is assisted decision-making system which characterized in that: the method comprises the following steps:
an acquisition module: the system is used for acquiring the accumulated running time and the starting and stopping times of each device which needs to be checked regularly in the power plant;
a comparison module: the system comprises a control unit, a storage unit and a control unit, wherein the control unit is used for comparing the acquired accumulated running time of each device with respective running time threshold values and comparing the start-stop times of each device with respective start-stop time threshold values;
a judging module: and sending out an early warning signal when the accumulated running time of the equipment is more than or equal to the running time threshold or the starting and stopping times of the equipment are more than or equal to the starting and stopping times threshold.
The alarm display module: and the display module is used for displaying the alarm signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211617931.7A CN115796845A (en) | 2022-12-15 | 2022-12-15 | Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211617931.7A CN115796845A (en) | 2022-12-15 | 2022-12-15 | Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115796845A true CN115796845A (en) | 2023-03-14 |
Family
ID=85425219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211617931.7A Pending CN115796845A (en) | 2022-12-15 | 2022-12-15 | Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115796845A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116436098A (en) * | 2023-06-12 | 2023-07-14 | 日照市银海电器有限公司 | Multi-equipment intermodal control method and system for power equipment |
-
2022
- 2022-12-15 CN CN202211617931.7A patent/CN115796845A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116436098A (en) * | 2023-06-12 | 2023-07-14 | 日照市银海电器有限公司 | Multi-equipment intermodal control method and system for power equipment |
| CN116436098B (en) * | 2023-06-12 | 2023-09-08 | 日照市银海电器有限公司 | Multi-equipment intermodal control method and system for power equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111553494B (en) | Wireless transmission's intelligent point is examined system | |
| CN111259334B (en) | Abnormal water consumption monitoring and early warning method for large users of industrial enterprises | |
| CN111754113A (en) | Automatic control method, system and medium for scheduling and scheduling in production process | |
| CN112307003B (en) | Power grid data multidimensional auxiliary analysis method, system, terminal and readable storage medium | |
| CN115796845A (en) | Intelligent electric power plant equipment regular inspection auxiliary decision-making method and system | |
| CN105573892A (en) | Business data batch processing method and system | |
| CN108460541A (en) | Harbour intelligence maintenance system and method | |
| CN110855012A (en) | Real-time line loss intelligent analysis system for transformer area | |
| CN106682741A (en) | Equipment maintenance method and equipment maintenance device | |
| CN212365028U (en) | Electric power fire safety integrated management platform | |
| CN116451910B (en) | Full life cycle management method and system for ship equipment | |
| DE212018000273U1 (en) | System and device for online monitoring of rack storage | |
| CN110659747B (en) | Vehicle maintenance method and system based on process implementation and cost control | |
| CN116596463A (en) | Intelligent management and control system for aviation heat meter processing workshop | |
| CN116308494A (en) | Supply chain demand prediction method | |
| CN115358336A (en) | Power utilization abnormity detection method and device and electronic equipment | |
| CN114167342A (en) | Evaluation method for running health state of relay protection device | |
| CN113379314B (en) | Intelligent annual production plan supervision method based on reasoning algorithm | |
| Vijaya et al. | Monitoring the stability of the processes in defined level software companies using control charts with three sigma limits | |
| CN114693188A (en) | Risk supervision method, system and equipment for drug retail industry | |
| CN114757482A (en) | Method, system, device and medium for analyzing electric quantity use trend of user group | |
| CN110794792B (en) | Statistical method applied to automatic statistical system for production line shutdown faults of stamping workshop | |
| CN111768090A (en) | Method and system for monitoring commodity tariff configuration risk | |
| CN111061920A (en) | Signal description correctness checking method for equipment parameter inheritance | |
| Drożdż et al. | The use of IT systems in the power industry on the example of the Polish Electricity Distribution System Operator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |