CN117092968A - System, method and storage medium for data management of coal preparation plant - Google Patents
System, method and storage medium for data management of coal preparation plant Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
Abstract
A coal preparation plant data management system, method and storage medium, the coal preparation plant data management system includes: the device comprises a data acquisition module, a data storage module and a data reading module; the data acquisition module is used for acquiring production data generated by production equipment of all production systems in the coal-selecting factory in real time and monitoring data generated by monitoring equipment for monitoring the production equipment, storing data with acquisition time and current time within a preset time length and corresponding acquisition time, and storing the data with the acquisition time exceeding the preset time length and corresponding acquisition time in the data storage module; the data storage module is used for storing the data from the data acquisition module; and the data reading module is used for reading corresponding data from the data acquisition module or the data storage module according to the data acquisition request of the terminal equipment. Because the data acquisition, storage and reading modules are integrated, the data acquisition, storage and reading functions can be integrated, so that the data management of the coal preparation plant is convenient.
Description
Technical Field
The present disclosure relates to data processing technology, and more particularly, to a system, a method, and a storage medium for data management in a coal preparation plant.
Background
The production system of coal preparation plants is operated by the earliest manual transmission and washing equipment, is subjected to relay logic control and programmable control of conductor elements and small-scale digital integrated circuits, and gradually develops into an automatic production system based on the programmable logic controller (Programmable Logic Controller, PLC) technology.
Along with the continuous improvement of the informatization level of the whole coal preparation industry, the current automatic production system exposes a plurality of problems, and the main appearance is that a unified data center is lacking to complete the collection, storage and reading of the data.
Disclosure of Invention
The embodiment of the application provides a coal preparation plant data management system, a method and a storage medium, which can integrate the functions of data acquisition, storage and reading together, thereby realizing convenient data management of a coal preparation plant.
The application provides a coal preparation plant data management system, which comprises:
the device comprises a data acquisition module, a data storage module and a data reading module;
the data acquisition module is used for acquiring production data generated by production equipment of all production systems in the coal preparation plant in real time and monitoring data generated by monitoring equipment for monitoring the production equipment, storing data with the data acquisition time being within a preset time length from the current time and the corresponding acquisition time, and storing the data with the acquisition time being longer than the preset time length from the current time and the corresponding acquisition time in the data storage module;
The data storage module is used for storing data from the data acquisition module;
the data reading module is used for reading corresponding data from the data acquisition module or the data storage module according to a data acquisition request of the terminal equipment.
Compared with the related art, the data management system for the coal preparation plant integrates the data acquisition module, the data storage module and the data reading module, so that the data acquisition, storage and reading functions can be integrated, and the data management of the coal preparation plant is convenient to realize.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. Other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The accompanying drawings are included to provide an understanding of the principles of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the principles of the application.
FIG. 1 is a schematic diagram of a data management system of a coal preparation plant according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another data management system for a coal preparation plant according to an embodiment of the present application;
fig. 3 is a schematic illustration of a monitoring video according to an embodiment of the present application;
fig. 4 is a schematic illustration of another monitoring video according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a data management system of a coal preparation plant according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of a method for managing data in a coal preparation plant according to an embodiment of the present application;
FIG. 7 is a schematic flow chart of another method for managing data in a coal preparation plant according to an embodiment of the present application;
fig. 8 is a diagram showing ton coal power consumption of a production apparatus according to an embodiment of the present application.
Detailed Description
There is provided herein a coal preparation plant data management system, as shown in fig. 1, comprising:
the data acquisition module 11 is configured to acquire production data generated by production devices of all production systems in the coal-separating plant in real time, and monitor data generated by a monitor device monitoring the production devices, store data with a data acquisition time within a preset time period from a current time and an acquisition time corresponding to the data, and store data with the acquisition time exceeding the preset time period from the current time and the acquisition time corresponding to the data in the data storage module.
The data storage module 12 is used for storing data from the data acquisition module.
And the data reading module 13 is used for reading corresponding data from the data acquisition module or the data storage module according to the data acquisition request of the terminal equipment.
In one illustrative example, the acquisition time of a portion of the data stored in the data acquisition module 11 will change from not exceeding the preset duration to exceeding the preset duration over time, so that this portion of the data will be stored in the data storage module 12 once the preset duration is exceeded. The data in the data acquisition module can be checked periodically by setting time intervals, and the set time intervals can be set according to specific situations.
In one illustrative example, a coal preparation plant may employ a combination process of non-classification, non-desliming, pressureless three-product heavy media cyclone, slime flotation, tailing filter pressing. The coal preparation plant can comprise a dry separation system, a flotation system, a distributed control system (Distributed Control System, DCS) control system, a coal quality system, a slime water dosing system and the like; the production equipment comprises a gravity separation equipment, a main separation equipment, a flotation equipment, a control equipment and the like.
The data management system for the coal preparation plant, provided by the embodiment of the application, integrates the data acquisition module, the data storage module and the data reading module, so that the acquisition, storage and reading functions of the data can be integrated, and the data management of the coal preparation plant is convenient to realize.
In one illustrative example, the production data includes: the amount of coal processed during operation of the production facility.
In one illustrative example, the monitoring data includes: the equipment starting time, the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment.
In one illustrative example, the coal preparation plant data management system further comprises: a data analysis module; the data analysis module is used for acquiring production analysis information according to at least one of the processed coal amount during the operation of the production equipment, the equipment starting time and the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment.
In one illustrative example, the data analysis module includes one or more of the following: the system comprises a production performance analysis sub-module, an operation load analysis sub-module and a production fault analysis module.
In one illustrative example, the production analysis information includes one or more of the following: production performance analysis information, operation condition analysis information and production fault analysis information in one illustrative example,
in one illustrative example, the production performance analysis sub-module is configured to obtain production performance analysis information based on the amount of processed coal, equipment start-up time, and equipment shut-down time during operation of each production facility.
And the running condition analysis sub-module is used for acquiring running condition analysis information according to the equipment starting time and the equipment closing time of each production equipment.
And the production fault analysis sub-module is used for acquiring production fault analysis information according to the alarm starting time and the alarm releasing time of each production device.
In one illustrative example, the production performance analysis sub-module includes, based on the amount of processed coal during operation of each production facility, a facility start-up time, a facility shut-down time, and obtaining production performance analysis information:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device, and calculating the power consumption according to the acquired running time and rated power; acquiring a coal-to-electricity ratio according to the obtained power consumption and the processed coal amount during the operation of the production equipment; and acquiring ton coal electricity consumption as production performance analysis information of the production equipment according to the obtained coal electricity ratio.
In one illustrative example, the runtime analysis information includes one or more of the following: boot timing analysis information, boot frequency analysis information, and operational load analysis information.
In an exemplary embodiment, the operation condition analysis sub-module obtains start-up time sequence analysis information of each production system according to the equipment start time and the equipment shut-down time of each production equipment, and includes:
sequencing all production equipment in each production system according to equipment starting time to obtain a starting time sequence of the production system; comparing the obtained starting time sequence with a preset standard starting time sequence to obtain a comparison result as starting time sequence analysis information of the production system.
In an exemplary embodiment, the operation condition analysis sub-module obtains the start-up frequency analysis information of each production device according to the device start-up time and the device shut-down time of each production device, including:
for each production device, acquiring the starting times in a preset time period according to the device starting time and the device closing time of the production device; acquiring starting frequency according to the starting times and a preset time period; and comparing the obtained starting frequency with a preset standard starting frequency to obtain a comparison result which is used as starting frequency analysis information of the production equipment.
In one illustrative example, the run-condition analysis sub-module obtains run-load analysis information for each production device based on a device start-up time and a device shut-down time for each production device, comprising:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device; and comparing the obtained running time with a preset standard running time to obtain a comparison result, and converting the obtained comparison result into a load degree to obtain the running load analysis information of the production equipment.
In one illustrative example, the production failure analysis information includes one or more of the following: fault alarm frequency analysis information and fault light and heavy condition analysis information.
In one illustrative example, the production fault analysis sub-module obtains alarm frequency analysis information for each production device based on an alarm start time and an alarm release time for each production device, comprising:
for each production device, acquiring the alarm times in a preset time period according to the alarm starting time and the alarm releasing time; acquiring alarm frequency according to the acquired alarm times and a preset time period; and comparing the obtained alarm frequency with a preset standard alarm frequency to obtain a comparison result as alarm frequency analysis information of the production equipment.
In an exemplary embodiment, the production fault analysis sub-module obtains fault light and heavy condition analysis information of each production device according to an alarm start time and an alarm release time of each production device, including:
for each production device, acquiring the alarm time length of the production device according to the alarm starting time and the alarm releasing time; and comparing the obtained alarm time length with a preset standard alarm time length to obtain a comparison result, and converting the comparison result into a light and heavy degree to obtain the analysis information of the fault light and heavy conditions of the production equipment.
In one illustrative example, interactions between the data acquisition module and the data storage module, between the data reading module and the data acquisition module, between the data reading module and the data storage module, between the data analysis module and the data acquisition module, between the data acquisition modules, and between the data storage modules are all through a unified data interface headgateway.
Also provided herein is a coal preparation plant data management system, as shown in fig. 2, comprising: the system comprises a video acquisition server, a data acquisition server, a history database and an intelligent control server, wherein the video acquisition server, the data acquisition server, the history database and the intelligent control server can interact with a unified data interface total gateway, and the intelligent control server is used for interacting with each terminal device.
The video acquisition server is used for acquiring various monitoring video data of each production system in the coal-selecting factory in real time, temporarily storing the monitoring video data with the time difference from the current moment in a preset time period in the video acquisition server, and storing the monitoring video data with the time difference from the current moment exceeding the preset time period in the history database through the unified data interface total gateway.
The data acquisition server is used for acquiring equipment production parameters of all production systems in the coal-dressing plant in real time, temporarily storing the equipment production parameters with the time difference from the current moment in a preset time period in the data acquisition server, and storing the equipment production parameters with the time difference from the current moment exceeding the preset time period in the history database through the unified data interface total gateway.
The intelligent control server is used for reading data from other servers or databases through the unified data interface total gateway according to the request of the terminal equipment.
In one illustrative example, a coal preparation plant may employ a combination process of non-classification, non-desliming, pressureless three-product heavy media cyclone, slime flotation, tailing filter pressing. The coal preparation plant can comprise a dry separation system, a flotation system, a distributed control system (Distributed Control System, DCS) control system, a coal quality system, a slime water dosing system and the like; the production equipment comprises a gravity separation equipment, a main separation equipment, a flotation equipment, a control equipment and the like.
In an exemplary embodiment, the device production parameters may include relational data, where the data collection server may be further configured to obtain, in real time, the relational data of each production system in the coal-dressing plant, temporarily store the relational data within a preset time period from the current time in the data collection server, and store the relational data exceeding the preset time period from the current time in the relational database through the unified data interface total gateway.
In one illustrative example, the system includes a data awareness layer, a data interface and transport layer, and a data traffic and presentation layer. The data perception layer is used as a data source of the whole system and mainly comprises a video acquisition server for acquiring monitoring video data in real time, a data acquisition server for acquiring production parameters of equipment in real time and a history database for storing non-real-time data. The functions of the data interface and the transmission layer are completed by a unified data interface total gateway, the gateway functionally supports various control process object connection and embedded (Object Linking and Embedding for Process Control, OPC) connection, the hardware interface supports various data standard output interfaces of the programmable logic controller (Programmable Logic Controller, PLC), the gateway realizes unified management of various data interfaces for the lower layer, and provides unified data interfaces for service functions of the upper layer. The data service and display layer realizes intelligent control of the production process of the coal preparation plant and intelligent management of production process data on one hand, and realizes remote monitoring of the production process through the mobile terminal and various client systems on the other hand. The system provides a unified interface gateway for connecting each business body, and also provides a unified history database as a data center for completing the storage and reading of various data. The system realizes the collection, storage and calling of various data types, performs unified management on the data of the intelligent coal preparation plant, and is beneficial to the standardized construction of the intelligent coal preparation plant.
In one illustrative example, equipment monitoring cameras and personnel monitoring cameras are installed within each production system in a coal preparation plant. The device monitoring camera and the personnel monitoring camera may be hard disk cameras or network cameras. The equipment monitoring cameras are used for acquiring production operation condition video data of each production equipment in each production system in real time, such as video data of a transportation adhesive tape, video data of an underground substation, video data of an underground overhead man-vehicle, video data of an underground roadway and the like. When a manager needs to observe the current running condition of a certain production device, a reading request can be initiated through the terminal device, and video data of the corresponding production device are read out from the video acquisition server or the history database for viewing. The personnel monitoring cameras are used for acquiring personnel work video data of the positions of all personnel in all production systems in real time. When a manager needs to observe whether a person is in place at the present time at a certain person post, a reading request can be initiated through a terminal device, and the person working video data of the corresponding person position is read from the video acquisition server or the history database for viewing.
In an exemplary embodiment, a certain video data may be separately presented on a terminal device used by an administrator, as shown in fig. 3; meanwhile, a plurality of video data can be simultaneously displayed on the terminal device used by the manager, as shown in fig. 4.
In one illustrative example, the facility production parameters include production operating parameters of each production facility provided to each production system in the coal preparation plant and alarm parameters generated by monitoring facilities corresponding to each production facility.
In one illustrative example, the production facility includes a gravity separation facility, a main separation facility, a flotation facility, a control facility, and the like. The monitoring device includes various digital sensors, such as level monitors, gas monitors, thermometers, etc., that monitor the production device during the production process. The production operation parameters comprise each starting time and shutdown time of each production device, and the alarm parameters comprise each alarm starting time and alarm releasing time of the monitoring device corresponding to each production device. The production fault analysis file comprises operation load content and fault analysis content, wherein the operation load content comprises a starting time sequence judgment item, a starting frequency judgment item and an operation fatigue judgment item, and the fault analysis content comprises an alarm frequency judgment item and a serious fault judgment item.
In one illustrative example, the terminal device that interacts with the intelligent control server may include a PC terminal device or a mobile terminal device.
The present invention also provides a coal preparation plant data management system, as shown in fig. 5, on the basis of the coal preparation plant data management system provided in fig. 2, further comprising: the intelligent analysis server can interact with the unified data interface total gateway, and can generate corresponding analysis conclusion according to the production condition of the coal preparation plant so as to be convenient for reading of other terminal equipment. Under the whole framework of the construction of the intelligent coal preparation plant, based on the information fusion and mobile interconnection technology, the high integration and automation of multiple monitoring management functions of the coal preparation plant are realized, and the safety, reliability and management efficiency are further improved. The intelligent analysis server comprises a production performance analysis module and a production fault analysis module; the production performance analysis module is used for analyzing production parameters of each device to obtain a production performance analysis file; the production fault analysis module is used for analyzing production parameters of each device to obtain a production fault analysis file.
In one illustrative example, the production failure analysis file includes operational load content including a startup timing judgment item, a startup frequency judgment item, and an operational fatigue judgment item, and failure analysis content including an alarm frequency judgment item and a severe failure judgment item.
In an exemplary embodiment, the equipment production parameters include production operation parameters of each production equipment of each production system in the coal preparation plant and alarm parameters generated by monitoring equipment corresponding to each production equipment, the production operation parameters include each starting time and shutdown time of each production equipment, and the alarm parameters include each alarm starting time and alarm releasing time of the monitoring equipment corresponding to each production equipment.
In one illustrative example, the production facility includes a gravity separation facility, a main separation facility, a flotation facility, a control facility, and the like. The monitoring device includes various digital sensors, such as level monitors, gas monitors, thermometers, etc., that monitor the production device during the production process.
The invention also provides a coal preparation plant data management method which is applied to the coal preparation plant data management system provided by any one of the embodiments, wherein the coal preparation plant data management system comprises a data acquisition module, a data storage module and a data reading module, as shown in fig. 6, the method comprises the following steps:
step 201, a data acquisition module acquires production data generated by production equipment of all production systems in a coal-selecting factory in real time, and monitoring data generated by monitoring equipment for monitoring the production equipment, stores data with the acquisition time of the data within a preset time length from the current time and corresponding acquisition time thereof, and stores data with the acquisition time of the data exceeding the preset time length from the current time and corresponding acquisition time thereof in a data storage module.
Step 202, a data storage module stores data from a data acquisition module.
And 203, the data reading module reads corresponding data from the data acquisition module or the data storage module according to the data acquisition request of the terminal equipment.
In one illustrative example, the production data includes: the amount of coal processed during operation of the production facility; the monitoring data includes: start time, shut down time of the production equipment, alarm start time and alarm release time of the production equipment.
In one illustrative example, the coal preparation plant data management system further comprises: and a data analysis module. The data analysis module obtains production analysis information according to at least one of the processed coal amount during the operation of the production equipment, the equipment starting time and the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment.
In one illustrative example, the production analysis information includes one or more of the following: production performance analysis information, operation condition analysis information, and production failure analysis information.
In an illustrative example, obtaining production analysis information based on at least one of an amount of processed coal during operation of the production facility, a facility start time of the production facility, a facility shut-down time, and an alarm start time and an alarm release time of the production facility, includes:
And acquiring production performance analysis information according to the processed coal amount, the equipment starting time and the equipment closing time during the operation of each production equipment.
And acquiring operation condition analysis information according to the equipment start time and the equipment shut-down time of each production equipment.
And acquiring production fault analysis information according to the alarm starting time and the alarm releasing time of each production device.
In one illustrative example, obtaining production performance analysis information based on a processed coal amount, a plant start-up time, and a plant shut-down time during operation of each production plant includes:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device, and calculating the power consumption according to the acquired running time and rated power; acquiring a coal-to-electricity ratio according to the obtained power consumption and the processed coal amount during the operation of the production equipment; and acquiring ton coal electricity consumption as production performance analysis information of the production equipment according to the obtained coal electricity ratio.
In one illustrative example, the runtime analysis information includes one or more of the following: boot timing analysis information, boot frequency analysis information, and operational load analysis information.
In an exemplary embodiment, obtaining power-on timing analysis information for each production system based on a device start-up time and a device shut-down time for each production device includes:
Sequencing all production equipment in each production system according to equipment starting time to obtain a starting time sequence of the production system; comparing the obtained starting time sequence with a preset standard starting time sequence to obtain a comparison result as starting time sequence analysis information of the production system.
In an exemplary embodiment, obtaining the start-up frequency analysis information of each production device according to the device start-up time and the device shut-down time of each production device includes:
for each production device, acquiring the starting times in a preset time period according to the device starting time and the device closing time of the production device; acquiring starting frequency according to the starting times and a preset time period; and comparing the obtained starting frequency with a preset standard starting frequency to obtain a comparison result which is used as starting frequency analysis information of the production equipment.
In one illustrative example, obtaining operational load analysis information for each production facility based on a facility start-up time and a facility shut-down time for each production facility includes:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device; and comparing the obtained running time with a preset standard running time to obtain a comparison result, and converting the obtained comparison result into a load degree to obtain the running load analysis information of the production equipment.
In one illustrative example, the production failure analysis information includes one or more of the following: fault alarm frequency analysis information and fault light and heavy condition analysis information.
In one illustrative example, obtaining production failure analysis information for each production device based on an alarm start time and an alarm release time for each production device includes:
for each production device, acquiring the alarm times in a preset time period according to the alarm starting time and the alarm releasing time; acquiring alarm frequency according to the acquired alarm times and a preset time period; and comparing the obtained alarm frequency with a preset standard alarm frequency to obtain a comparison result as alarm frequency analysis information of the production equipment.
In an exemplary example, for each production apparatus, the fault light-heavy condition analysis information of the production apparatus is acquired in the following manner, respectively: acquiring the alarm time length of the production equipment according to the alarm starting time and the alarm releasing time; comparing the obtained alarm time length with a preset standard alarm time length to obtain a comparison result, and converting the comparison result into a light and heavy degree to obtain fault light and heavy condition analysis information of the production equipment
Acquiring fault light and heavy condition analysis information of each production device according to the alarm starting time and the alarm releasing time of each production device, wherein the fault light and heavy condition analysis information comprises the following steps:
for each production device, the fault light and heavy condition analysis information of the production device is acquired in the following manner: acquiring the alarm time length of the production equipment according to the alarm starting time and the alarm releasing time; and comparing the obtained alarm time length with a preset standard alarm time length to obtain a comparison result, and converting the comparison result into a light and heavy degree to obtain the analysis information of the fault light and heavy conditions of the production equipment.
According to the coal preparation plant data management method provided by the embodiment of the application, the data acquisition module, the data storage module and the data reading module are integrated, so that the data acquisition, storage and reading functions can be integrated, and the data management of the coal preparation plant is convenient.
Also provided herein is a coal preparation plant data management method, as shown in fig. 7, comprising:
301. and acquiring a data reading request from the terminal equipment through the intelligent control server, wherein the data reading request comprises a target data type and a target time period.
302. And under the condition that the target time period exceeds the preset time period, the intelligent control server reads data corresponding to the target data type from the historical database through the unified data interface total gateway.
303. And under the condition that the target time period is within the preset time period range, the intelligent control server reads corresponding data from the server corresponding to the target data type through the unified data interface total gateway.
The coal preparation plant data management method provided by the embodiment of the application can be used for conveniently reading any type of data from any server or database in time by the integrated intelligent coal preparation plant data management system. When the real-time data is required to be read, the corresponding data is read from the server corresponding to the target data type through the unified data interface total gateway; when the older historical data needs to be read, the corresponding data is read from the server corresponding to the target data type through the unified data interface total gateway.
In one illustrative example, the method further comprises:
firstly, analyzing each production operation parameter through a production performance analysis module of an intelligent analysis server to obtain a production performance analysis file.
And secondly, analyzing each production operation parameter through a production fault analysis module of the intelligent analysis server to obtain operation load content.
And finally, analyzing each alarm parameter through a production fault analysis module of the intelligent analysis server to obtain fault analysis contents.
In an exemplary embodiment, the analyzing, by the production performance analysis module of the intelligent analysis server, each production operation parameter to obtain a production performance analysis file includes:
firstly, calculating the running time of each production equipment according to the starting time and the shutdown time of each production equipment.
And secondly, calculating the power consumption of the corresponding production equipment according to the running time.
In one illustrative example, the power consumption for a single operation of the production facility may be calculated by multiplying the average power consumption during the operational state of the production facility by the duration of the single operation time.
And thirdly, calculating the ratio of the processed coal quantity and the power consumption of the corresponding production equipment in each operation, and recording the ratio as the coal-to-power ratio.
In one illustrative example, the production run parameters further include the amount of processed coal after each run of the respective production facility.
Finally, calculating ton coal power consumption of corresponding production equipment according to the coal power ratio; the ton coal power consumption is logged into a production performance analysis file as shown in fig. 8.
In one illustrative example, the power consumption per ton of coal is the amount of electricity that the coal mine consumes per ton of coal produced.
In one exemplary embodiment, analyzing each production operation parameter by a production fault analysis module of the intelligent analysis server to obtain operation load content includes:
Firstly, sequencing all production equipment in the same production system according to starting time by a production fault analysis module to obtain a starting time sequence diagram; and judging that the starting time sequence of the corresponding production system is wrong under the condition that the starting time sequence diagram is inconsistent with the standard time sequence diagram, and recording a starting time sequence judging item of the operation load content.
Secondly, calculating the starting times of each production device in a standard time period through a production fault analysis module, and marking the starting times as the starting frequency of the corresponding production device; and judging the frequency of starting corresponding production equipment under the condition that the starting frequency exceeds the standard starting frequency, and recording a starting frequency judgment item of the running load content.
Finally, calculating the running time of each production equipment according to the starting time and the shutdown time of each production equipment by using a production fault analysis module; and judging the operation fatigue of the corresponding production equipment under the condition that the operation time exceeds the corresponding standard operation time, and recording an operation fatigue judgment item of the operation load content.
In one illustrative example, the operational fatigue judgment term may count the number of operational fatigues of the target production facility over a period of time.
In an exemplary embodiment, the analyzing, by the production fault analysis module of the intelligent analysis server, the alarm parameters to obtain the fault analysis content includes:
firstly, calculating the alarm times of monitoring equipment corresponding to each production equipment in a standard time period through a production fault analysis module, and recording the alarm times as the alarm frequency of each production equipment; and judging the frequency of the corresponding production equipment alarm under the condition that the alarm frequency exceeds the standard alarm frequency, and recording an alarm frequency judgment item of the fault analysis content.
Secondly, calculating the alarm time length corresponding to each production equipment according to the alarm starting time and the alarm releasing time corresponding to each production equipment through a production fault analysis module; and judging that the corresponding production equipment has serious faults under the condition that the alarm time length exceeds the corresponding standard alarm time length, and recording serious fault judgment items of fault analysis contents.
In one illustrative example, the alarm parameters for each production facility within the central pump room may include motor front axle temperature alarm parameters, evacuation timeout alarm parameters, drain gate valve shut-down failure alarm parameters, water pressure timeout alarm parameters, and the like.
Also provided herein is a computer-readable storage medium having stored thereon computer-executable instructions for performing any of the coal preparation plant data management methods described in the embodiments described below.
The present application has been described in terms of several embodiments, but the description is illustrative and not restrictive, and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the described embodiments. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or in place of any other feature or element of any other embodiment unless specifically limited.
The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The disclosed embodiments, features and elements of the present application may also be combined with any conventional features or elements to form a unique inventive arrangement as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive arrangements to form another unique inventive arrangement as defined in the claims. It is therefore to be understood that any of the features shown and/or discussed in the present application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not to be restricted except in light of the attached claims and their equivalents. Further, various modifications and changes may be made within the scope of the appended claims.
Furthermore, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other sequences of steps are possible as will be appreciated by those of ordinary skill in the art. Accordingly, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Furthermore, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, functional modules/units in the apparatus, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the 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 cooperatively by several physical components. 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 both 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 known to those skilled 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 be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, 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.
Claims (14)
1. A coal preparation plant data management system, comprising: the device comprises a data acquisition module, a data storage module and a data reading module;
the data acquisition module is used for acquiring production data generated by production equipment of all production systems in the coal preparation plant in real time and monitoring data generated by monitoring equipment for monitoring the production equipment, storing data with the data acquisition time being within a preset time length from the current time and the corresponding acquisition time, and storing the data with the acquisition time being longer than the preset time length from the current time and the corresponding acquisition time in the data storage module;
the data storage module is used for storing data from the data acquisition module;
the data reading module is used for reading corresponding data from the data acquisition module or the data storage module according to a data acquisition request of the terminal equipment.
2. The system of claim 1, wherein the production data comprises: a processed coal amount during operation of the production facility;
the monitoring data includes: the equipment starting time and the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment;
The coal preparation plant data management system further comprises: a data analysis module;
the data analysis module is used for acquiring production analysis information according to at least one of the processed coal amount during the operation of the production equipment, the equipment starting time and the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment.
3. The system of claim 2, wherein the data analysis module comprises one or more of: a production performance analysis sub-module, an operation load analysis sub-module and a production fault analysis mold module; the production analysis information includes one or more of the following: production performance analysis information, operation condition analysis information and production fault analysis information;
the production performance analysis sub-module is used for acquiring production performance analysis information according to the processed coal quantity, the equipment starting time and the equipment closing time of each production equipment in the operation period;
the operation condition analysis submodule is used for acquiring operation condition analysis information according to the equipment starting time and the equipment closing time of each production equipment;
the production fault analysis sub-module is used for acquiring production fault analysis information according to the alarm starting time and the alarm releasing time of each production device.
4. The system of claim 3, wherein the production performance analysis sub-module includes, based on the amount of processed coal during operation of each production facility, facility start-up time, facility shut-down time, and obtaining production performance analysis information:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device, and calculating the power consumption according to the acquired running time and rated power; acquiring a coal-to-electricity ratio according to the obtained power consumption and the processed coal amount during the operation of the production equipment; and acquiring ton coal electricity consumption as production performance analysis information of the production equipment according to the obtained coal electricity ratio.
5. A system according to claim 3, wherein the operational situation analysis information comprises one or more of: boot timing analysis information, boot frequency analysis information, and operational load analysis information;
the operation condition analysis sub-module obtains the start time sequence analysis information of each production system according to the equipment start time and the equipment close time of each production equipment, and the operation condition analysis sub-module comprises the following steps:
sequencing all production equipment in each production system according to equipment starting time to obtain a starting time sequence of the production system; comparing the obtained starting time sequence with a preset standard starting time sequence to obtain a comparison result as starting time sequence analysis information of the production system;
The running condition analysis sub-module obtains starting frequency analysis information of each production device according to the device starting time and the device closing time of each production device, and the running condition analysis sub-module comprises the following steps:
for each production device, acquiring the starting times in a preset time period according to the device starting time and the device closing time of the production device; acquiring starting frequency according to the starting times and the preset time period; comparing the obtained starting frequency with a preset standard starting frequency to obtain a comparison result as starting frequency analysis information of the production equipment;
the operation condition analysis sub-module obtains operation load analysis information of each production device according to the device start time and the device close time of each production device, and the operation condition analysis sub-module comprises the following steps:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device; and comparing the obtained running time with a preset standard running time to obtain a comparison result, and converting the obtained comparison result into a load degree to obtain the running load analysis information of the production equipment.
6. The system of claim 3, wherein the production failure analysis information includes one or more of: fault alarm frequency analysis information and fault light and heavy condition analysis information;
The production fault analysis sub-module obtains alarm frequency analysis information of each production device according to the alarm starting time and the alarm releasing time of each production device, and the production fault analysis sub-module comprises the following steps:
for each production device, acquiring the alarm times in a preset time period according to the alarm starting time and the alarm releasing time; acquiring alarm frequency according to the acquired alarm times and the preset time period; comparing the obtained alarm frequency with a preset standard alarm frequency to obtain a comparison result as alarm frequency analysis information of the production equipment;
the production fault analysis sub-module obtains fault light and heavy condition analysis information of each production device according to the alarm starting time and the alarm releasing time of each production device, and comprises the following steps:
for each production device, acquiring the alarm time length of the production device according to the alarm starting time and the alarm releasing time; and comparing the obtained alarm time length with a preset standard alarm time length to obtain a comparison result, and converting the comparison result into a light and heavy degree to obtain the analysis information of the fault light and heavy conditions of the production equipment.
7. The system of claim 3, wherein interactions between the data acquisition module and the data storage module, between the data reading module and the data acquisition module, between the data reading module and the data storage module, between the data analysis module and the data acquisition module, between the data acquisition modules, and between the data storage modules are all through a unified data interface headquarters gateway.
8. A coal preparation plant data management method applied to the coal preparation plant data management system as claimed in any one of claims 1 to 7, wherein the coal preparation plant data management system comprises a data acquisition module, a data storage module and a data reading module, and is characterized by comprising the following steps:
the data acquisition module acquires production data generated by production equipment of all production systems in the coal preparation plant in real time, monitors the production equipment, stores data with the acquisition time being within a preset time length from the current time and corresponding acquisition time, and stores the data with the acquisition time being longer than the preset time length from the current time and corresponding acquisition time in the data storage module;
the data storage module stores data from the data acquisition module;
and the data reading module reads corresponding data from the data acquisition module or the data storage module according to a data acquisition request of the terminal equipment.
9. The method of claim 8, wherein the production data comprises: a processed coal amount during operation of the production facility;
the monitoring data includes: the starting time and the closing time of the production equipment and the alarm starting time and the alarm releasing time of the production equipment;
The coal preparation plant data management system further comprises: a data analysis module;
the data analysis module obtains production analysis information according to at least one of the processed coal amount during the operation of the production equipment, the equipment starting time and the equipment closing time of the production equipment, and the alarm starting time and the alarm releasing time of the production equipment.
10. The method of claim 9, wherein the production analysis information includes one or more of: production performance analysis information, operation condition analysis information and production fault analysis information;
the obtaining production analysis information according to at least one of the amount of processed coal during the operation of the production equipment, the equipment start time and the equipment shut-down time of the production equipment, and the alarm start time and the alarm release time of the production equipment, includes:
acquiring production performance analysis information according to the processed coal amount, equipment starting time and equipment closing time of each production equipment in the operation period;
acquiring operation condition analysis information according to the equipment starting time and the equipment closing time of each production equipment;
and acquiring production fault analysis information according to the alarm starting time and the alarm releasing time of each production device.
11. The method of claim 10, wherein obtaining production performance analysis information based on the amount of processed coal, equipment start-up time, and equipment shut-down time during operation of each production equipment comprises:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device, and calculating the power consumption according to the acquired running time and rated power; acquiring a coal-to-electricity ratio according to the obtained power consumption and the processed coal amount during the operation of the production equipment; and acquiring ton coal electricity consumption as production performance analysis information of the production equipment according to the obtained coal electricity ratio.
12. The method of claim 10, wherein the operational situation analysis information includes one or more of: boot timing analysis information, boot frequency analysis information, and operational load analysis information;
acquiring startup time sequence analysis information of each production system according to equipment startup time and equipment shutdown time of each production equipment, wherein the startup time sequence analysis information comprises the following steps:
sequencing all production equipment in each production system according to equipment starting time to obtain a starting time sequence of the production system; comparing the obtained starting time sequence with a preset standard starting time sequence to obtain a comparison result as starting time sequence analysis information of the production system;
Acquiring startup frequency analysis information of each production device according to the device startup time and the device shutdown time of each production device, including:
for each production device, acquiring the starting times in a preset time period according to the device starting time and the device closing time of the production device; acquiring starting frequency according to the starting times and the preset time period; comparing the obtained starting frequency with a preset standard starting frequency to obtain a comparison result as starting frequency analysis information of the production equipment;
acquiring operation load analysis information of each production device according to the device start time and the device shut-down time of each production device, wherein the operation load analysis information comprises the following steps:
for each production device, acquiring the running time according to the device starting time and the device closing time of the production device; and comparing the obtained running time with a preset standard running time to obtain a comparison result, and converting the obtained comparison result into a load degree to obtain the running load analysis information of the production equipment.
13. The method of claim 10, wherein the production failure analysis information includes one or more of: fault alarm frequency analysis information and fault light and heavy condition analysis information;
Acquiring production fault analysis information of each production device according to the alarm starting time and the alarm releasing time of each production device, wherein the production fault analysis information comprises the following steps:
for each production device, acquiring the alarm times in a preset time period according to the alarm starting time and the alarm releasing time; acquiring alarm frequency according to the acquired alarm times and the preset time period; comparing the obtained alarm frequency with a preset standard alarm frequency to obtain a comparison result as alarm frequency analysis information of the production equipment;
acquiring fault light and heavy condition analysis information of each production device according to the alarm starting time and the alarm releasing time of each production device, wherein the fault light and heavy condition analysis information comprises the following steps:
for each production device, the fault light and heavy condition analysis information of the production device is acquired in the following manner: acquiring the alarm time length of the production equipment according to the alarm starting time and the alarm releasing time; and comparing the obtained alarm time length with a preset standard alarm time length to obtain a comparison result, and converting the comparison result into a light and heavy degree to obtain the analysis information of the fault light and heavy conditions of the production equipment.
14. A storage medium having stored thereon computer executable instructions for performing a coal preparation plant data management method as claimed in any one of claims 8-13 below.
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