CN117780445A - Mine comprehensive management and control system and management and control platform based on intelligent Internet of things - Google Patents
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Abstract
The invention relates to the technical field of mine intelligent management and control, and discloses a mine comprehensive management and control system and a management and control platform based on an intelligent Internet of things.
Description
Technical Field
The invention relates to the technical field of mine intelligent management and control, in particular to a mine comprehensive management and control system and management and control platform based on an intelligent Internet of things.
Background
Mines are an important source of mining resources and present numerous challenges in the work management of them. Traditional mine work management often relies on manual experience and a scattered monitoring system, and has the problems of low production efficiency, large potential safety hazard, unsmooth information communication and the like. In addition, mine work management involves a number of critical workflows including drainage, power supply, transportation, ventilation, air compression, gas drainage, mining, intelligent coal washing, etc., which need to be interrelated, work in concert with each other to ensure safe production and efficient operation of the mine. However, in the traditional management mode, the cooperativity and intelligence of these critical workflows are limited, resulting in potential problems in the production process that cannot be found and resolved in time.
Therefore, how to realize comprehensive intelligent management of key workflows of mines is a problem to be solved at present.
Disclosure of Invention
In view of the above, the invention aims to provide an intelligent internet of things-based mine comprehensive management and control system and management and control platform, which can realize the work flow intercommunication among subsystems of a mine and realize comprehensive intelligent management and control of the mine.
The invention discloses a mine comprehensive management and control system based on an intelligent Internet of things, which comprises a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module;
the communication integration module is used for connecting the mine subsystem according to a preset communication protocol and a communication interface configured based on an adaptive interface mechanism; the mine subsystem comprises one or more of a drainage subsystem, an electronic system, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem;
the monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; the operation state data of the mine subsystem are communicated with each other through the communication integration module;
the data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data;
the centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized manner through the control instruction;
the user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system.
Further, the self-adaptive interface mechanism comprises an identification strategy, wherein the identification strategy comprises the steps of identifying a current communication protocol, sending a protocol identification request in a mine subsystem communication initialization stage, receiving a protocol identification response of a mine subsystem, and determining the communication protocol of the current mine subsystem according to the protocol identification response;
after determining the communication protocol of the current mine subsystem, the communication integration module dynamically adjusts the communication parameters of the interface according to the determined communication protocol, wherein the communication parameters comprise data transmission rate, data format and communication port;
the self-adaptive interface mechanism also comprises a monitoring strategy, wherein the monitoring strategy is used for monitoring the communication state of the communication interface according to a preset period, and when the communication state is monitored to be not in accordance with a preset standard, the communication integration module is used for self-adaptively adjusting the communication parameters of the interface according to the communication state.
Further, the self-adaptive interface mechanism further comprises a dynamic configuration strategy, and when a new subsystem exists in the mine subsystem, the communication integration module extracts the communication characteristics of the new subsystem according to the dynamic configuration strategy and automatically configures communication parameters conforming to the communication interface of the new subsystem according to the communication characteristics.
Further, the monitoring interconnection module performs initial configuration on the monitoring network according to the mine structure and the first characteristic information of the mine subsystem, the initial configuration of the monitoring network comprises determining the topology structure of the monitoring network, determining the layout mode of monitoring network nodes, the monitoring network nodes comprise sensors, monitoring equipment and communication equipment, determining the types of the sensors and determining parameter settings of the monitoring network nodes; the first characteristic information of the mine subsystem comprises position information and system attribute information;
the monitoring interconnection module is configured with a dynamic adjustment strategy, judges whether the monitoring index of the operation state data of the mine subsystem acquired by the monitoring network according to the initial configuration parameters meets the preset monitoring index requirement, and adjusts the parameters of the corresponding monitoring network access node under the condition that the monitoring index requirement is not met;
the dynamic adjustment strategy further comprises the steps of judging whether second characteristic information of a middling mountain subsystem of the monitoring network is changed or not, and executing automatic configuration adjustment operation under the condition that the second characteristic information of the middling mountain subsystem of the monitoring network is judged to be changed, wherein the automatic configuration adjustment operation comprises one or more of adding monitoring network nodes, reducing the monitoring network nodes, temporarily disabling the monitoring network nodes and adjusting sampling frequency; the second characteristic information of the mine subsystem comprises system performance and new equipment access.
Further, the monitoring interconnection module is further configured with an energy consumption sensing monitoring strategy, the monitoring interconnection module configures an energy consumption sensor for the mine subsystem based on the energy consumption sensing monitoring strategy, gathers monitoring data of the energy consumption sensor, and establishes an energy consumption data set according to the gathered monitoring data of the energy consumption sensor;
extracting energy consumption characteristics from the energy consumption data set, wherein the energy consumption characteristics comprise average energy consumption, energy consumption peaks and energy efficiency ratios; wherein the energy consumption data set is established by taking a subsystem as a unit;
processing the energy consumption data set through a clustering algorithm, dividing the subsystems into different energy consumption mode groups, and detecting whether each subsystem has an abnormality in the energy consumption mode group to which the subsystem belongs through a Z score statistical algorithm;
and under the condition that the abnormality exists, performing equipment optimization or subsystem operation optimization according to the abnormality.
Further, the data fusion module performs fusion processing on the running state data of the mine subsystem and generates comprehensive index data specifically includes:
the data fusion module executes standardized processing operation on the running state data, executes data quality inspection operation on the running state data after standardized processing, eliminates abnormal data with quality problems, and obtains first quality data;
performing data fusion operation on the first quality data based on a data fusion strategy to obtain first fusion data, wherein the data fusion strategy comprises weighted average, time sequence fusion and association analysis;
and inputting the first fusion data into an index generation model to generate comprehensive index data.
Further, the training process of the index generation model includes:
determining the type and weight of the comprehensive index to be output;
determining parameters for determining the comprehensive index based on the type of the comprehensive index to be output as input variables;
collecting historical operation state data and operation state experiment data of each subsystem, and carrying out data preprocessing on the collected data;
and training by taking the data after the data preprocessing operation as training data of the index generation model.
Further, the centralized control module processes the comprehensive index data according to a centralized control algorithm and generates a control instruction specifically includes:
determining an optimization target for comprehensive mine control, wherein the optimization target comprises an efficiency target, an energy consumption target and a safety target;
defining constraint conditions;
generating a control instruction based on the comprehensive index data, the optimization target and the constraint condition through an optimization algorithm;
and packaging and transmitting the generated control instruction to a communication integration module in a form of a communication interface, and transmitting the control instruction to the mine subsystem through the communication integration module.
Further, the user interaction module charts the mine subsystem running state data and the comprehensive index data based on a chart generation strategy;
the user interaction module performs data monitoring on the operation state data and the comprehensive index data of the mine subsystem based on a monitoring strategy;
the user interaction module comprises an operation button, and a user realizes real-time data viewing, chart page viewing and monitoring page viewing of the mine subsystem running state data and the comprehensive index data through the operation button;
the operation button can be used for a user to remotely control the mine subsystem through the operation button.
The invention discloses a mine comprehensive management and control platform based on intelligent Internet of things, which comprises a control console, a local server and a cloud server, wherein a mine comprehensive management and control system is carried on the platform, and the platform specifically comprises a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module;
the communication integration module is used for connecting the communication interface configured based on the self-adaptive interface mechanism with the mine subsystem according to a preset communication protocol; the mine subsystem comprises one or more of a drainage subsystem, an electronic system, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem;
the monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; the operation state data of the mine subsystem are communicated with each other through the communication integration module;
the data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data;
the centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized manner through the control instruction;
the user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system.
Compared with the prior art, the invention has the beneficial effects that:
the system is provided with a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module, wherein information interconnection and data intercommunication among subsystems of the mine are realized through the communication integration module, the operation efficiency and stability of the subsystems are improved, and in addition, the comprehensive acquisition and the comprehensive analysis of the data of the subsystems of the mine can be realized through the interaction of the modules, and the comprehensive intelligent management and control of the mine can be realized based on the operation condition of the subsystems.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
fig. 1 is a schematic structural diagram of a mine comprehensive management and control system based on intelligent internet of things, which is disclosed in the embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments.
Example 1
Referring to fig. 1, fig. 1 is a schematic structural diagram of a mine comprehensive management and control system based on intelligent internet of things, which is disclosed in the embodiment of the invention, and comprises a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module;
the communication integration module is used for connecting the mine subsystem according to a preset communication protocol and a communication interface configured based on an adaptive interface mechanism.
In an embodiment of the invention, the mine subsystem comprises one or more of a drainage subsystem, an electric power supply subsystem, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem.
The monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; and the running state data of the mine subsystem are communicated with each other through the communication integration module.
Specifically, each subsystem of the mine in the embodiment of the invention is integrated with an automatic intelligent control module, and based on the automatic intelligent control module, each subsystem can realize relative intelligent operation.
The drainage subsystem is large in mine underground water level change, the drainage subsystem is required to be provided with self-adaptive control, and a dynamic drainage scheme based on mine depth and precipitation conditions is realized by specifically adopting a real-time water level monitoring and automatic regulating and controlling pump, so that the drying and safety of underground work of a mine are ensured.
For the power supply system, mine power demand setting correspondingly changes along with mining activities, and the power consumption data are monitored in real time, so that the power energy is optimally distributed at the time of high load, and the stability of power supply is ensured.
For the transportation subsystem, mine transportation designs underground roadway and surface road transportation, so that a vehicle sensor is required to sense underground conditions in real time, and a navigation system is combined to plan a transportation route so as to improve the transportation efficiency of mine materials and the safety in the transportation process.
For the ventilation subsystem, the air quality in the mine is directly related to the safety of workers and the operation of equipment, the ventilation subsystem adopts a sensor for monitoring underground air components in real time, and the operation parameters of a fan are intelligently adjusted by combining the geological structure of the mine and the mining progress, so that the efficient operation of the mine ventilation system is ensured.
For the air compression subsystem, complicated geological pressure conditions exist in the underground mine, and an intelligent air compression system is required to ensure the stability of a working surface. The stratum change is monitored through the real-time pressure sensor, the flow and the pressure of the compressed air system are adjusted, and the safety mining of the working face is guaranteed.
For a gas drainage subsystem, mine gas generation is a potential safety hazard, gas drainage needs to be executed, the concentration of the gas is monitored in real time through a gas sensor, and drainage equipment is adjusted in real time, so that the gas is safely discharged.
For the mining subsystem, the mine mining work needs to adapt to diversified ores, and mining parameters are dynamically adjusted by using advanced mining machinery and real-time ore analysis sensors to adapt to the ore characteristics of different strata.
For the coal washing subsystem, raw coal quality generated by a coal mine is uneven, an intelligent coal washing factory is required to effectively sort, the raw coal quality and components are monitored by utilizing an intelligent sensor, the intelligent coal washing equipment can adjust working parameters in real time, the coal washing efficiency is improved, and the coal quality is ensured.
The embodiment of the invention uses advanced open standards and protocols, such as the standard of the internet of things standardization organization (IoT-SO), to ensure interoperability among all mine subsystems, and introduces an adaptive interface mechanism, SO that the system can automatically adapt to interfaces according to different communication protocols. The running state data of each subsystem can realize data interconnection based on a communication interface and a communication protocol, for example, the ventilation subsystem and the drainage subsystem are mutually matched to improve the mine ventilation and drainage efficiency, but it is to be noted that the main purpose of the invention is to comprehensively control each subsystem of the mine, so the embodiment of the invention does not describe the intelligent control of each subsystem of the mine in detail.
The data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data.
The centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized mode through the control instruction.
The user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system.
Further, the self-adaptive interface mechanism comprises an identification strategy, the identification strategy comprises the steps of identifying the current communication protocol, sending a protocol identification request in the communication initialization stage of the mine subsystem, receiving a protocol identification response of the mine subsystem, and determining the communication protocol of the current mine subsystem according to the protocol identification response.
After determining the communication protocol of the current mine subsystem, the communication integration module dynamically adjusts communication parameters of the interface according to the determined communication protocol, wherein the communication parameters comprise, but are not limited to, data transmission rate, data format and communication port.
The self-adaptive interface mechanism also comprises a monitoring strategy, wherein the monitoring strategy is used for monitoring the communication state of the communication interface according to a preset period, and when the communication state is monitored to be not in accordance with a preset standard, the communication integration module self-adaptively adjusts the communication parameters of the interface according to the communication state.
Further, the self-adaptive interface mechanism also comprises a dynamic configuration strategy, when a new subsystem exists in the mine subsystem, the communication integration module extracts the communication characteristics of the new subsystem according to the dynamic configuration strategy, and automatically configures the communication parameters of the communication interface conforming to the new subsystem according to the communication characteristics.
Further, the monitoring interconnection module performs initial configuration on the monitoring network according to the mine structure and the first characteristic information of the mine subsystem, the initial configuration of the monitoring network comprises determining the topology structure of the monitoring network, determining the layout mode of monitoring network nodes, the monitoring network nodes comprise sensors, monitoring equipment and communication equipment, determining the types of the sensors, and determining parameter settings of the monitoring network nodes. Wherein the first characteristic information of the mine subsystem includes location information and system attribute information. The system attribute information is the type of the mine subsystem, such as a drainage subsystem, an electric power subsystem and the like, and corresponding monitoring sensors are arranged based on the attribute of the subsystem, and the electric power subsystem is provided with an electric quantity monitoring sensor. The monitoring network node in this embodiment is not only set by taking the subsystem as a unit, but also includes a configuration monitoring device for monitoring the dangerous road conditions of the current mine and a configuration harmful gas concentration detection sensor for monitoring the air condition of the mine based on the mine structure and the corresponding setting of the whole subsystem.
The monitoring interconnection module is configured with a dynamic adjustment strategy, judges whether the monitoring index of the operation state data of the mine subsystem acquired by the monitoring network according to the initial configuration parameters meets the preset monitoring index requirement, and adjusts the parameters of the corresponding monitoring network access node under the condition that the monitoring index requirement is not met. The monitoring index includes, but is not limited to, data acquisition frequency, resolution of the monitoring device, etc.
The dynamic adjustment strategy further comprises the steps of judging whether second characteristic information of a middling mountain subsystem of the monitoring network is changed or not, and executing automatic configuration adjustment operation under the condition that the second characteristic information of the middling mountain subsystem of the monitoring network is changed, wherein the automatic configuration adjustment operation comprises one or more of adding monitoring network nodes, reducing the monitoring network nodes, temporarily disabling the monitoring network nodes and adjusting sampling frequency. The second characteristic information of the mine subsystem includes, but is not limited to, system performance, new device access.
Further, the monitoring interconnection module is further configured with an energy consumption sensing monitoring strategy, the monitoring interconnection module configures the energy consumption sensor for the mine subsystem based on the energy consumption sensing monitoring strategy, collects monitoring data of the energy consumption sensor, and establishes an energy consumption data set according to the collected monitoring data of the energy consumption sensor.
Extracting energy consumption characteristics from the energy consumption data set, wherein the energy consumption characteristics comprise average energy consumption, energy consumption peak value and energy efficiency ratio; wherein the energy consumption data set is established in units of subsystems.
Processing an energy consumption data set through a clustering algorithm, dividing the subsystems into different energy consumption mode groups, and detecting whether each subsystem has an abnormality in the energy consumption mode group to which the subsystem belongs through a Z score statistical algorithm;
and under the condition that the abnormality exists, performing equipment optimization or subsystem operation optimization according to the abnormality.
Specifically, analysis is performed by using the energy consumption data collected in real time, potential optimization spaces in each subsystem are identified, including equipment with low energy efficiency, working states with poor operation efficiency and the like, advice of parameter adjustment is generated for the equipment with low energy efficiency, such as adjusting the working temperature, pressure and the like of the equipment, and an optimization operation strategy is executed for the mine subsystem, such as adjusting the opening and closing time of the equipment, adjusting a production plan and the like.
Further, the data fusion module performs fusion processing on the running state data of the mine subsystem and generates comprehensive index data specifically including:
the data fusion module executes standardized processing operation on the running state data, executes data quality inspection operation on the running state data after standardized processing, eliminates abnormal data with quality problems, and obtains first quality data. Specifically, the operation state data collected from different subsystems are subjected to standardized processing, so that the consistency of data formats is ensured, and the unit unification, the time stamp synchronization and the like are included.
And carrying out data fusion operation on the first quality data based on a data fusion strategy to obtain first fusion data, wherein the data fusion strategy comprises weighted average, time sequence fusion and association analysis.
Specifically, for the data of the same index, a weighted average method can be adopted for fusion, and importance or priority of different subsystems is considered. For time series data, a time sequence fusion algorithm, such as a time interpolation or filtering algorithm, is adopted to obtain smoother running state trend. And for the relevance among different indexes, a relevance analysis method is adopted to identify the mutual influence relationship among different subsystems, so that data fusion is more accurately carried out.
And inputting the first fusion data into an index generation model to generate comprehensive index data, and analyzing the comprehensive index data result to know the influence degree of each variable on the comprehensive index.
Further, the training process of the index generation model includes:
determining the type and weight of the comprehensive index to be output; the types of the comprehensive indexes include, but are not limited to, key performance indexes, overall operation state indexes, energy efficiency indexes, production benefit indexes and equipment utilization indexes.
The parameters determining the comprehensive index are determined based on the type of the comprehensive index to be output, such as the flow rate, water level, drainage pump state and the like of the drainage subsystem, and the current, voltage, equipment power and the like of the power supply system, and the environmental factors such as the temperature, humidity, air pressure and the like of the external environment can be used as the input variables.
Collecting historical operation state data and operation state experiment data of each subsystem, and carrying out data preprocessing on the collected data;
and training by taking the data after the data preprocessing operation as training data of the index generation model.
Further, the centralized control module processes the comprehensive index data according to a centralized control algorithm and generates a control instruction specifically includes:
determining optimization targets for comprehensive mine management and control, wherein the optimization targets comprise, but are not limited to, efficiency targets, energy consumption targets and safety targets;
and defining constraint conditions, such as the operation range of equipment, safety regulations and the like, and ensuring that the generated control instruction meets various requirements of mine operation.
Generating a control instruction based on the comprehensive index data, the optimization target and the constraint condition through an optimization algorithm; in this embodiment, a particle swarm algorithm is adopted to generate corresponding control parameters under a plurality of input variables and constraints.
And packaging and transmitting the generated control instruction to a communication integration module in a form of a communication interface, and transmitting the control instruction to the mine subsystem through the communication integration module.
Further, the user interaction module charts the running state data and the comprehensive index data of the mine subsystem based on a chart generation strategy;
and performing data monitoring on the mine subsystem operation state data and the comprehensive index data based on the monitoring strategy. Specifically, the real-time running state data of each subsystem of the mine and the comprehensive index data obtained based on the running state data can be displayed based on the user interaction module, wherein the comprehensive index comprises index data of each subsystem and index data of the whole system of the mine, and the comprehensive index data is displayed in the forms of charts, digital display and the like. The monitoring strategy in the embodiment of the invention also comprises the steps of setting the alarm rule, carrying out system alarm by combining the alarm rule in the monitoring process, and sending alarm notification to the user in the modes of interface popup window, mail, short message and the like so as to ensure that the user can respond in time.
The user interaction module comprises an operation button, and a user realizes real-time data viewing, chart page viewing and monitoring page viewing of the mine subsystem running state data and the comprehensive index data through the operation button.
The operation button can be used for a user to remotely control the mine subsystem through the operation button, and remote adjustment equipment parameters, start-stop equipment and other operations can be set based on a communication protocol of the standard of the Internet of things.
Example two
The invention discloses a mine comprehensive management and control platform based on intelligent Internet of things, which comprises a control console, a local server and a cloud server, wherein a mine comprehensive management and control system is carried on the platform, and the mine comprehensive management and control system comprises a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module.
The communication integration module is used for connecting the mine subsystem according to a preset communication protocol and a communication interface configured based on an adaptive interface mechanism; the mine subsystem comprises one or more of a drainage subsystem, an electric power supply subsystem, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem.
The monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; and the running state data of the mine subsystem are communicated with each other through the communication integration module.
The data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data.
The centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized mode through the control instruction.
The user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system, and in the embodiment, the specific function of the user interaction module is realized through the display interface of the console.
It should be noted that, the implementation process of the second embodiment is similar to that of the first embodiment, and will not be described in detail in the second embodiment.
Finally, it should be noted that: the embodiment of the invention discloses a mine comprehensive management and control system and a management and control platform based on an intelligent Internet of things, which are disclosed by the embodiment of the invention only as a preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The mine comprehensive management and control system based on the intelligent Internet of things is characterized by comprising a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module;
the communication integration module is used for connecting the communication interface configured based on the self-adaptive interface mechanism with the mine subsystem according to a preset communication protocol; the mine subsystem comprises one or more of a drainage subsystem, an electronic system, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem;
the monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; the operation state data of the mine subsystem are communicated with each other through the communication integration module;
the data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data;
the centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized manner through the control instruction;
the user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system.
2. The intelligent internet of things-based mine comprehensive management and control system according to claim 1, wherein the adaptive interface mechanism comprises an identification strategy, the identification strategy comprises identifying a current communication protocol, a protocol identification request is sent in a mine subsystem communication initialization stage, a protocol identification response of a mine subsystem is received, and the communication protocol of the current mine subsystem is determined according to the protocol identification response;
after determining the communication protocol of the current mine subsystem, the communication integration module dynamically adjusts the communication parameters of the interface according to the determined communication protocol, wherein the communication parameters comprise data transmission rate, data format and communication port;
the self-adaptive interface mechanism also comprises a monitoring strategy, wherein the monitoring strategy is used for monitoring the communication state of the communication interface according to a preset period, and when the communication state is monitored to be not in accordance with a preset standard, the communication integration module is used for self-adaptively adjusting the communication parameters of the interface according to the communication state.
3. The intelligent internet of things-based mine comprehensive control system according to claim 2, wherein the adaptive interface mechanism further comprises a dynamic configuration policy, and when a new subsystem exists in the mine subsystem, the communication integration module extracts the communication characteristics of the new subsystem according to the dynamic configuration policy, and automatically configures communication parameters conforming to the communication interface of the new subsystem according to the communication characteristics.
4. The mine comprehensive management and control system based on the intelligent internet of things according to claim 1, wherein the monitoring interconnection module performs initial configuration on the monitoring network according to the mine structure and first characteristic information of the mine subsystem, the initial configuration of the monitoring network comprises determining a topology structure of the monitoring network, determining a layout mode of monitoring network nodes, the monitoring network nodes comprise sensors, monitoring equipment and communication equipment, determining types of the sensors, and determining parameter settings of the monitoring network nodes; the first characteristic information of the mine subsystem comprises position information and system attribute information;
the monitoring interconnection module is configured with a dynamic adjustment strategy, judges whether the monitoring index of the operation state data of the mine subsystem acquired by the monitoring network according to the initial configuration parameters meets the preset monitoring index requirement, and adjusts the parameters of the corresponding monitoring network access node under the condition that the monitoring index requirement is not met;
the dynamic adjustment strategy further comprises the steps of judging whether second characteristic information of a middling mountain subsystem of the monitoring network is changed or not, and executing automatic configuration adjustment operation under the condition that the second characteristic information of the middling mountain subsystem of the monitoring network is judged to be changed, wherein the automatic configuration adjustment operation comprises one or more of adding monitoring network nodes, reducing the monitoring network nodes, temporarily disabling the monitoring network nodes and adjusting sampling frequency; the second characteristic information of the mine subsystem comprises system performance and new equipment access.
5. The mine comprehensive management and control system based on the intelligent internet of things according to claim 4, wherein the monitoring interconnection module is further configured with an energy consumption sensing monitoring strategy, the monitoring interconnection module configures an energy consumption sensor for a mine subsystem based on the energy consumption sensing monitoring strategy, gathers monitoring data of the energy consumption sensor, and establishes an energy consumption data set according to the gathered monitoring data of the energy consumption sensor;
extracting energy consumption characteristics from the energy consumption data set, wherein the energy consumption characteristics comprise average energy consumption, energy consumption peaks and energy efficiency ratios; wherein the energy consumption data set is established by taking a subsystem as a unit;
processing the energy consumption data set through a clustering algorithm, dividing the subsystems into different energy consumption mode groups, and detecting whether each subsystem has an abnormality in the energy consumption mode group to which the subsystem belongs through a Z score statistical algorithm;
and under the condition that the abnormality exists, performing equipment optimization or subsystem operation optimization according to the abnormality.
6. The mine comprehensive control system based on the intelligent internet of things according to claim 1, wherein the data fusion module performs fusion processing on the operation state data of the mine subsystem and generates comprehensive index data specifically comprises:
the data fusion module executes standardized processing operation on the running state data, executes data quality inspection operation on the running state data after standardized processing, eliminates abnormal data with quality problems, and obtains first quality data;
performing data fusion operation on the first quality data based on a data fusion strategy to obtain first fusion data, wherein the data fusion strategy comprises weighted average, time sequence fusion and association analysis;
and inputting the first fusion data into an index generation model to generate comprehensive index data.
7. The intelligent internet of things-based mine comprehensive control system of claim 6, wherein the training process of the index generation model comprises:
determining the type and weight of the comprehensive index to be output;
determining parameters for determining the comprehensive index based on the type of the comprehensive index to be output as input variables;
collecting historical operation state data and operation state experiment data of each subsystem, and carrying out data preprocessing on the collected data;
and training by taking the data after the data preprocessing operation as training data of the index generation model.
8. The mine comprehensive control system based on the intelligent internet of things according to claim 7, wherein the centralized control module processes the comprehensive index data and generates a control instruction according to a centralized control algorithm specifically comprises:
determining an optimization target for comprehensive mine control, wherein the optimization target comprises an efficiency target, an energy consumption target and a safety target;
defining constraint conditions;
generating a control instruction based on the comprehensive index data, the optimization target and the constraint condition through an optimization algorithm;
and packaging and transmitting the generated control instruction to a communication integration module in a form of a communication interface, and transmitting the control instruction to the mine subsystem through the communication integration module.
9. The intelligent internet of things-based mine comprehensive control system according to any one of claims 1-8, wherein the user interaction module schematizes the mine subsystem operational status data and comprehensive index data based on a graph generation strategy;
the user interaction module performs data monitoring on the operation state data and the comprehensive index data of the mine subsystem based on a monitoring strategy;
the user interaction module comprises an operation button, and a user realizes real-time data viewing, chart page viewing and monitoring page viewing of the mine subsystem running state data and the comprehensive index data through the operation button;
the operation button can be used for a user to remotely control the mine subsystem through the operation button.
10. The mine comprehensive management and control platform based on the intelligent Internet of things comprises a control console, a local server and a cloud server, and the mine comprehensive management and control system based on the intelligent Internet of things according to any one of claims 1-9 is carried by the platform, and is characterized by comprising a communication integration module, a monitoring interconnection module, a data fusion module, a centralized control module and a user interaction module;
the communication integration module is used for connecting the communication interface configured based on the self-adaptive interface mechanism with the mine subsystem according to a preset communication protocol; the mine subsystem comprises one or more of a drainage subsystem, an electronic system, a transportation subsystem, a ventilation subsystem, a compressed air subsystem, a gas drainage subsystem, a mining subsystem and a coal washing subsystem;
the monitoring interconnection module is used for configuring a monitoring network for monitoring the mine subsystem, monitoring the running state data of the mine subsystem in real time through the monitoring network, and transmitting the running state data of the mine subsystem to the data fusion module; the operation state data of the mine subsystem are communicated with each other through the communication integration module;
the data fusion module is used for receiving the running state data of the mine subsystem and carrying out fusion processing on the running state data of the mine subsystem to generate comprehensive index data;
the centralized control module is used for processing the comprehensive index data according to a centralized control algorithm and generating a control instruction, and the mine subsystem is controlled in a centralized manner through the control instruction;
the user interaction module is used for a user to operate, monitor and manage the mine comprehensive management and control system.
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