CN115755738A - Mining intelligent power monitoring system - Google Patents
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Abstract
The invention discloses a mining intelligent power monitoring system, relates to the technical field of power monitoring, and solves the technical problem of monitoring of mining electrical equipment; collecting operating parameters and environmental parameters of power equipment in a park through a data collection module; the data processing module acquires an operation coefficient and an environment coefficient by using a calculation formula, acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient, and compares the monitoring reminding coefficient with a monitoring reminding coefficient threshold value; when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module; the equipment monitoring module monitors the running state of the power equipment in the park; the alarm module informs a manager to check and maintain the power equipment according to the abnormal data; the purposes of no fault, advanced maintenance and repair and timely maintenance reminding when a fault occurs are achieved, and production loss and time waste caused by shutdown due to electrical equipment faults are reduced.
Description
Technical Field
The invention belongs to the field of coal mine application, relates to an electric power monitoring technology, and particularly relates to an intelligent electric power monitoring system for a mine.
Background
With the continuous improvement of the national requirements on the safety production of coal mine enterprises and the development requirements of coal enterprises, each large, medium and small coal mine in China is provided with a mine monitoring system in succession, and the equipment of the system can greatly improve the safety production level and the safety production management efficiency of the mine. In current electrical monitoring system, carry out simple statistics that gathers to electrical equipment's working parameter mostly, and the equipment breaks down the back and carries out later stage maintenance mostly, lacks a feasible detection mode for can combine electrical equipment's operational environment and the working parameter under operational environment, and then carry out equipment early warning in advance and shut down the maintenance.
Therefore, the mining intelligent power monitoring system is provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a mining intelligent power monitoring system, which solves the problem of monitoring of mining electrical equipment.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a mining intelligent power monitoring system, which includes a cloud platform, and a data acquisition module, a data processing module, an equipment monitoring module, and an alarm module connected thereto; information interaction is carried out among all modules based on digital signals;
the data acquisition module is used for acquiring the operating parameters and the environmental parameters of the power equipment in the park; wherein the operating parameters include voltage values and current values; the environmental parameters include temperature data and humidity data;
sending the operating parameters and the environment parameters to the cloud platform;
the data processing module is used for processing the received operation parameters and environment parameters, and comprises the following steps:
the data processing module acquires the operating parameters and marks the current value and the voltage value as I respectively n And U n (ii) a Wherein n represents the number of the operation parameter acquisition period;
the data processing module obtains an operation coefficient by using a calculation formula, and marks the operation coefficient as YX n ;
The data processing module receives the environmental parameters and respectively marks the temperature data and the humidity data as W n And S n (ii) a In the formula, n represents the number of the environment parameter acquisition period;
the data processing module obtains an environment coefficient by using a calculation formula, and marks the environment coefficient as HJ n ;
The data processing module acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient, and marks the monitoring reminding coefficient as JC n ;
The data processing module sets a monitoring reminding coefficient threshold value and compares the monitoring reminding coefficient with the monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module;
when the monitoring reminding coefficient is smaller than or equal to the monitoring reminding coefficient threshold value, the data processing module does not process the data;
the equipment monitoring module is used for monitoring the running state of the power equipment in the park;
and the alarm module is used for informing a manager to check and maintain the power equipment according to the abnormal data.
Preferably, the data acquisition module adopts a periodic acquisition mode when acquiring the operating parameters and the environmental parameters, and the acquisition period is set by a cloud platform; when the operation parameters are sent to the cloud platform, the collected periods are numbered, and the number of the operation parameter collection period is marked as n; wherein, the value of N is 1,2,3, 8230, N is the total number of the acquisition period.
wherein ε represents a state modifier, and ε ∈ (0, 1).
in the formula, α and β are a temperature correction coefficient and a humidity correction coefficient, respectively, and both α and β are real numbers greater than zero.
Preferably, the calculation formula of the monitoring reminding coefficient is as follows: JC n =a*YX n +b*HJ n ;
Where a and b are both real numbers greater than zero, and a + b =1.
Preferably, the device monitoring module comprises a detection sensor; wherein the detection sensor includes a temperature sensor, a noise sensor, and a vibration sensor.
Preferably, the equipment monitoring module monitors the operating state of the power equipment in the park, and comprises the following steps:
the detection sensor detects the current working state information of the corresponding power equipment and sends the working state information to the equipment detection module;
the equipment detection module compares the working state information with a safety criterion which is prestored in a database and corresponds to the electric equipment, and determines the current safety condition of the park equipment; wherein the safety conditions include safety and exception;
and when the current safety condition of the park equipment is abnormal, the equipment detection module sends an equipment abnormal signal to the alarm module.
Preferably, the alarm module notifies a manager to check and maintain the power equipment according to the abnormal data, and includes the following steps:
after the alarm module receives the maintenance signal, generating data abnormal information to the associated intelligent terminal so as to remind a manager of the intelligent terminal; the data exception information comprises a maintenance instruction, and corresponding exception operation parameters and environment parameters;
after the alarm module receives the equipment abnormal signal, equipment abnormal information is generated to the associated intelligent terminal so as to remind a manager of the intelligent terminal; the equipment abnormal information comprises a maintenance instruction and a corresponding abnormal working state.
Preferably, the intelligent terminal comprises an intelligent mobile phone and a computer.
Preferably, the cloud platform is in communication and/or electrical connection with the data acquisition module;
the data acquisition module is in communication and/or electrical connection with the data processing module;
the data processing module is in communication and/or electrical connection with the alarm module;
the cloud platform is in communication and/or electrical connection with the equipment monitoring module;
the device monitoring module is in communication and/or electrical connection with the alarm module.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps that the operating parameters and the environmental parameters of the power equipment in the park are collected through a data collection module; the operation parameters and the environment parameters are sent to the cloud platform; the data processing module acquires the operation parameters and acquires the operation coefficients by using a calculation formula; the data processing module receives the environment parameters, the data processing module acquires an environment coefficient by using a calculation formula, the data processing module acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient, the data processing module sets a monitoring reminding coefficient threshold value, and the monitoring reminding coefficient is compared with the monitoring reminding coefficient threshold value; when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module; the equipment monitoring module monitors the running state of the power equipment in the park; the alarm module informs a manager to check and maintain the power equipment according to the abnormal data; the purposes of no-fault advanced maintenance and timely maintenance reminding when a fault occurs are achieved, production loss and time waste caused by shutdown caused by electrical equipment faults are reduced, and the safety of the mining electrical equipment is improved.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1, the mining intelligent power monitoring system comprises a cloud platform, and a data acquisition module, a data processing module, an equipment monitoring module and an alarm module which are connected with the cloud platform; information interaction is carried out among all modules based on digital signals;
the data acquisition module is used for acquiring the operating parameters and the environmental parameters of the power equipment in the park; wherein the operating parameters include voltage values and current values; the environmental parameters include temperature data and humidity data;
sending the operating parameters and the environment parameters to the cloud platform;
the data processing module is used for processing the received operation parameters and environment parameters;
the equipment monitoring module is used for monitoring the running state of the power equipment in the park;
and the alarm module is used for informing a manager to check and maintain the power equipment according to the abnormal data.
In this embodiment, the data acquisition module adopts a periodic acquisition mode when acquiring the operating parameters and the environmental parameters, and the acquisition period is set by the cloud platform; when the operation parameters are sent to the cloud platform, the collected periods are numbered, and the number of the operation parameter collection period is marked as n; wherein, the value of N is 1,2,3, 8230, N is the total number of the collection period.
The data processing module processes the received operation parameters and environment parameters, and comprises the following steps:
the data processing module acquires the operating parameters and marks the current value and the voltage value as I respectively n And U n (ii) a Wherein n represents the number of the operation parameter acquisition period;
the data processing module obtains an operation coefficient by using a calculation formula, and marks the operation coefficient as YX n ;
wherein epsilon is a state correction factor, and epsilon is (0, 1);
the data processing module receives the environmental parameters and marks the temperature data and the humidity data as W respectively n And S n (ii) a In the formula, n represents the number of the environment parameter acquisition period;
the data processing module obtains an environment coefficient by using a calculation formula, and marks the environment coefficient as HJ n ;
in the formula, alpha and beta are respectively a temperature correction coefficient and a humidity correction coefficient, and both alpha and beta are real numbers larger than zero;
the data processing module acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient, and marks the monitoring reminding coefficient as JC n ;
Calculation formula of monitoring reminding coefficientComprises the following steps: JC n =a*YX n +b*HJ n ;
Wherein a and b are both real numbers greater than zero, and a + b =1;
the data processing module sets a monitoring reminding coefficient threshold value and compares the monitoring reminding coefficient with the monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module;
and when the monitoring reminding coefficient is less than or equal to the monitoring reminding coefficient threshold value, the data processing module does not process.
In this embodiment, the device monitoring module includes a detection sensor; wherein the detection sensor includes a temperature sensor, a noise sensor, and a vibration sensor.
The equipment monitoring module monitors the running state of the power equipment in the park, and comprises the following steps:
the detection sensor detects the current working state information of the corresponding power equipment and sends the working state information to the equipment detection module;
the equipment detection module compares the working state information with a safety criterion which is prestored in a database and corresponds to the electric equipment, and determines the current safety condition of the park equipment; wherein the safety conditions include safety and exception;
and when the current safety condition of the equipment in the park is abnormal, the equipment detection module sends an equipment abnormal signal to the alarm module.
The alarm module informs a manager to check and maintain the power equipment according to the abnormal data, and comprises the following steps:
after receiving the maintenance signal, the alarm module generates data abnormal information to an associated intelligent terminal so as to remind a manager of the intelligent terminal; the data exception information comprises a maintenance instruction, and corresponding abnormal operation parameters and environment parameters;
after receiving the equipment abnormal signal, the alarm module generates equipment abnormal information to an associated intelligent terminal so as to remind a manager of the intelligent terminal; the equipment abnormal information comprises a maintenance instruction and a corresponding abnormal working state.
In this embodiment, the intelligent terminal includes intelligent devices such as a smart phone and a computer.
In this embodiment, the cloud platform is in communication and/or electrical connection with the data acquisition module;
the data acquisition module is in communication and/or electrical connection with the data processing module;
the data processing module is in communication and/or electrical connection with the alarm module;
the cloud platform is in communication and/or electrical connection with the equipment monitoring module;
the equipment monitoring module is in communication and/or electrical connection with the alarm module.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the data acquisition module is used for acquiring the operating parameters and the environmental parameters of the power equipment in the park; the operation parameters and the environment parameters are sent to the cloud platform;
the data processing module acquires the operation parameters, and the data processing module acquires the operation coefficients by using a calculation formula; the data processing module receives the environment parameters, and the data processing module obtains environment coefficients by using a calculation formula; the data processing module acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient; the data processing module sets a monitoring reminding coefficient threshold value and compares the monitoring reminding coefficient with the monitoring reminding coefficient threshold value; when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module; when the monitoring reminding coefficient is less than or equal to the monitoring reminding coefficient threshold value, the data processing module does not process the data;
the detection sensor detects the current working state information of the corresponding power equipment and sends the working state information to the equipment detection module; the equipment detection module compares the working state information with the safety criterion corresponding to the power equipment prestored in the database to determine the current safety condition of the park equipment; when the current safety condition of the equipment in the park is abnormal, the equipment detection module sends an equipment abnormal signal to the alarm module;
after receiving the maintenance signal, the alarm module generates data abnormal information to the associated intelligent terminal so as to remind a manager of the intelligent terminal; and after receiving the equipment abnormal signal, the alarm module generates equipment abnormal information to the associated intelligent terminal so as to remind a manager of the intelligent terminal.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (10)
1. The mining intelligent power monitoring system is characterized by comprising a cloud platform, and a data acquisition module, a data processing module, an equipment monitoring module and an alarm module which are connected with the cloud platform; information interaction is carried out among all modules based on digital signals;
the data acquisition module is used for acquiring the operating parameters and the environmental parameters of the power equipment in the park; wherein the operating parameters include voltage values and current values; the environmental parameters include temperature data and humidity data;
sending the operating parameters and the environment parameters to the cloud platform;
the data processing module is used for processing the received operation parameters and environment parameters, and comprises the following steps:
the data processing module acquires the operating parameters and marks the current value and the voltage value as I respectively n And U n (ii) a WhereinN represents the number of the operation parameter acquisition period;
the data processing module obtains an operation coefficient by using a calculation formula, and marks the operation coefficient as YX n ;
The data processing module receives the environmental parameters and marks the temperature data and the humidity data as W respectively n And S n (ii) a In the formula, n represents the number of the environment parameter acquisition period;
the data processing module obtains an environment coefficient by using a calculation formula, and marks the environment coefficient as HJ n ;
The data processing module acquires a monitoring reminding coefficient according to the operation coefficient and the environment coefficient, and marks the monitoring reminding coefficient as JC n ;
The data processing module sets a monitoring reminding coefficient threshold value and compares the monitoring reminding coefficient with the monitoring reminding coefficient threshold value;
when the monitoring reminding coefficient is larger than the monitoring reminding coefficient threshold value, the data processing module sends a maintenance signal to the alarm module;
when the monitoring reminding coefficient is smaller than or equal to the monitoring reminding coefficient threshold value, the data processing module does not process the data;
the equipment monitoring module is used for monitoring the running state of the power equipment in the park;
and the alarm module is used for informing a manager to check and maintain the power equipment according to the abnormal data.
2. The mining intelligent power monitoring system according to claim 1, wherein the data acquisition module adopts a periodic acquisition mode when acquiring the operating parameters and the environmental parameters, and the acquisition period is set by a cloud platform; when the operation parameters are sent to the cloud platform, the collected periods are numbered, and the number of the operation parameter collection period is marked as n; wherein, the value of N is 1,2,3, 8230, N is the total number of the collection period.
4. The mining intelligent power monitoring system of claim 1, wherein the environmental coefficient is calculated by the formula:
in the formula, α and β are a temperature correction coefficient and a humidity correction coefficient, respectively, and both α and β are real numbers greater than zero.
5. The mining intelligent power monitoring system of claim 1, wherein the calculation formula of the monitoring reminding coefficient is as follows: JC n =a*YX n +b*HJ n ;
Where a and b are both real numbers greater than zero, and a + b =1.
6. The mining intelligent power monitoring system of claim 1, wherein the equipment monitoring module comprises a detection sensor; wherein the detection sensor includes a temperature sensor, a noise sensor, and a vibration sensor.
7. The mining intelligent power monitoring system of claim 6, wherein the equipment monitoring module monitors the operating state of power equipment on the campus, comprising the steps of:
the detection sensor detects the current working state information of the corresponding power equipment and sends the working state information to the equipment detection module;
the equipment detection module compares the working state information with a safety criterion which is prestored in a database and corresponds to the electric equipment, and determines the current safety condition of the park equipment; wherein the safety conditions include safety and exception;
and when the current safety condition of the equipment in the park is abnormal, the equipment detection module sends an equipment abnormal signal to the alarm module.
8. The mining intelligent power monitoring system of claim 1, wherein the alarm module notifies a manager to check and maintain power equipment according to abnormal data, comprising the steps of:
after receiving the maintenance signal, the alarm module generates data abnormal information to an associated intelligent terminal so as to remind a manager of the intelligent terminal; the data exception information comprises a maintenance instruction, and corresponding exception operation parameters and environment parameters;
after the alarm module receives the equipment abnormal signal, equipment abnormal information is generated to the associated intelligent terminal so as to remind a manager of the intelligent terminal; the equipment abnormal information comprises a maintenance instruction and a corresponding abnormal working state.
9. The mining intelligent power monitoring system of claim 8, wherein the intelligent terminal comprises a smartphone and a computer.
10. The mining intelligent power monitoring system of claim 1, wherein the cloud platform is in communication and/or electrical connection with the data acquisition module;
the data acquisition module is in communication and/or electrical connection with the data processing module;
the data processing module is in communication and/or electrical connection with the alarm module;
the cloud platform is in communication and/or electrical connection with the equipment monitoring module;
the device monitoring module is in communication and/or electrical connection with the alarm module.
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CN117289745A (en) * | 2023-11-27 | 2023-12-26 | 湖北华中电力科技开发有限责任公司 | Operation monitoring method for digital power distribution room |
CN117791868A (en) * | 2023-12-27 | 2024-03-29 | 国网湖北省电力有限公司 | Temperature online monitoring method and system for intelligent power distribution cabinet |
CN118569832A (en) * | 2024-05-16 | 2024-08-30 | 北京蓝海达信科技有限公司 | System for intelligent campus laboratory |
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CN117791868A (en) * | 2023-12-27 | 2024-03-29 | 国网湖北省电力有限公司 | Temperature online monitoring method and system for intelligent power distribution cabinet |
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