An abnormal cover opening intelligent alarm system for underground mine maintenance

Abstract

The present invention relates to the technical field of abnormal alarm, and specifically discloses an abnormal cover opening intelligent alarm system for underground mine maintenance, comprising: a live detection module: responsible for detecting the electrical state of equipment and judging whether the equipment is live; a deviation determination module: setting a standard dust concentration value and obtaining a critical value of the live detection module under the concentration; setting a plurality of different dust concentration values, collecting critical value data of the live detection module under the dust concentration value, and establishing a data set; using the data set to train a neural network model to obtain a simulation measurement model; a calibration module: real-time monitoring of the dust concentration of the current environment, and calculating a simulation critical value using a simulation measurement model; by comparing the difference between the current simulation critical value and the standard critical value, calibrating the standard critical value to obtain a calibration critical value; an alarm module: combining the live condition and cover opening state of the equipment to monitor whether the equipment has an abnormal cover opening.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal alarms, and in particular to an abnormal cover opening intelligent alarm system for underground mine maintenance. Background Art

[0002] Due to the complex environment of mines, errors are prone to occur during equipment operation, so regular underground maintenance is carried out to promptly discover and eliminate hidden dangers, protect the lives of miners, and reduce the possibility of accidents. At the same time, timely inspection and maintenance can ensure that the equipment is in the best condition, which can improve production efficiency and increase the amount of mineral resources mined.

[0003] There are many regulations on the safety management of electrical equipment in the mining industry, including live detection. Live cover opening detection is designed to monitor the open status of the equipment in real time to ensure that the cover is not opened when the equipment is energized, thereby avoiding the risk of electric shock, short circuit, fire and other safety accidents. This detection is particularly important for coal mines, chemical plants and other environments involving flammable and explosive substances.

[0004] In the prior art, detection of live cover opening is usually implemented with sensors and monitoring systems. The sensor is installed on the cover or key parts of the equipment, and can monitor the open and closed status of the cover and whether the equipment is live in real time. Once the live cover opening behavior is detected, the sensor will immediately send a signal to the monitoring system to trigger an alarm or take other safety measures. However, in actual use, dust particles are easily accumulated on the surface of the sensor in dusty environments such as mines, resulting in low detection accuracy and failure to send alarms to the monitoring system in a timely manner. Summary of the invention

[0005] The purpose of the present invention is to provide an abnormal cover opening intelligent alarm system for underground mine maintenance to solve the above technical problems.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] An abnormal cover opening intelligent alarm system for underground mine maintenance, comprising:

[0008] Power detection module: used to detect the power status of the equipment, which includes the power status and the non-power status;

[0009] Deviation determination module: set a standard dust concentration, obtain a critical value when the charged detection module is at the standard dust concentration, and record it as a standard critical value; the critical value is the minimum electrical value when the charged detection module determines that the device is in a charged state;

[0010] Setting a number of dust concentration values, obtaining the critical value of the charged detection module when it is at each dust concentration value, and obtaining a data set; establishing a neural network model, and training the neural network model according to the data set to obtain a simulation measurement model;

[0011] Calibration module: including an environment measurement unit and a deviation calibration unit; the environment measurement unit obtains the current dust concentration of the current environment in real time; obtains the critical value of the charged detection module under the current dust concentration through the simulation measurement model, recorded as the current simulation critical value; obtains the difference between the current critical value and the standard critical value; and calibrates the standard critical value according to the difference to obtain the calibration critical value;

[0012] Alarm module: The power detection module detects the device to obtain the current power value; based on the calibration critical value and the current power value, the power status of the device is determined, and the cover opening status of the device is monitored, and the cover opening status includes open cover and unopened cover; based on the power status and cover opening status of the device, monitor whether the device is in an abnormal cover opening.

[0013] As a further solution of the present invention: the process of setting the standard dust concentration includes:

[0014] The dust concentration is the amount of floating dust contained in a unit volume of air, and the unit is mg / m 3 Or grain / m 3 ; The numerical setting range of the standard dust concentration is [0.01, 0.1].

[0015] As a further solution of the present invention: the process of obtaining the electrical value includes:

[0016] When the charged detection module is based on an electromagnetic induction sensor, the electrical value is the change value caused by the electric field or magnetic field around the conductor; when the charged detection module is based on a capacitive sensor, the electrical value is the change value of the capacitance formed between the electromagnetic induction sensor and the device; when the charged detection module is based on electric field induction, the electrical value is the induced charge of the electrode in the electric field.

[0017] As a further solution of the present invention: the process of setting the dust concentration value includes:

[0018] An interval threshold is set, and a numerical setting range of the interval threshold is [0.001, 0.005]. The standard dust concentration is increased or decreased according to the interval threshold to obtain a plurality of dust concentration values.

[0019] As a further solution of the present invention: the process of obtaining the difference between the current critical value and the standard critical value includes recording the current critical value as Ld, recording the standard critical value as Lb, and obtaining the difference C=Ld-Lb.

[0020] As a further solution of the present invention: the process of calibrating the standard critical value according to the difference includes:

[0021] A simulation number threshold n is set, and n simulations are performed through the simulation measurement model to obtain n differences, and a difference mean Cave of the n differences is obtained, and the calibration critical value Lj=Lb+Cave.

[0022] As a further solution of the present invention: the process of determining the charged state of the equipment includes:

[0023] If the current power value is less than or equal to the calibration critical value, the device is in a non-charged state; if the current power value is greater than the calibration critical value, the device is in a charged state.

[0024] As a further solution of the present invention: the process of monitoring whether the device is in an abnormal cover opening includes:

[0025] If and only if the device's charged state is the charged state and the device's cover-opening state is the cover-opening state, the device is in abnormal cover-opening, and the alarm module sends an alarm to the user; otherwise, the device is not in abnormal cover-opening.

[0026] Beneficial effects of the present invention:

[0027] The present invention can timely detect abnormal opening of the cover by real-time monitoring of the charged state and cover opening state of the equipment, thereby preventing possible safety risks. This is particularly important for underground working environments, because any electrical failure or improper operation may lead to serious safety accidents. The relationship between dust concentration and the charged state of the equipment is learned and simulated using a neural network model, so that the system can automatically adjust the judgment standard to adapt to different working environments. This intelligent management method reduces the need for human intervention and improves work efficiency. By repeatedly measuring and calibrating the critical value of the charged detection module under different dust concentrations, a more accurate judgment result can be obtained. It helps to reduce false alarms and missed alarms and ensure that each alarm is based on reliable data. The standard critical value is adjusted according to the actual situation, which can be applied to various working environments with different dust concentrations. Whether in an environment with high dust concentration or low dust concentration, efficient monitoring capabilities can be maintained. The problem of low detection accuracy caused by the accumulation of dust particles on the sensor surface in dusty environments such as mines is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be further described below in conjunction with the accompanying drawings.

[0029] Figure 1 The present invention is a flow chart of an abnormal cover opening intelligent alarm system for underground mine maintenance. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 As shown, the present invention is an abnormal cover opening intelligent alarm system for underground mine maintenance, comprising:

[0032] Power detection module: used to detect the power status of the equipment, which includes the power status and the non-power status;

[0033] It should be noted that the live detection module usually uses highly sensitive sensors to detect the presence of current or voltage; these sensors can accurately sense tiny current changes to determine whether the device is live;

[0034] Deviation determination module: set a standard dust concentration, obtain a critical value when the charged detection module is at the standard dust concentration, and record it as a standard critical value; the critical value is the minimum electrical value when the charged detection module determines that the device is in a charged state;

[0035] Setting a number of dust concentration values, obtaining the critical value of the charged detection module when it is at each dust concentration value, and obtaining a data set; establishing a neural network model, and training the neural network model according to the data set to obtain a simulation measurement model;

[0036] It should be noted that first, a standard dust concentration value is determined as a reference point. This standard concentration is known and is used as the basis for subsequent comparison and calibration. Under the standard dust concentration, the charged detection module is tested and the minimum electrical value when the device is in a charged state is recorded, that is, the standard critical value, which represents the minimum threshold at which the device is considered to be charged under a specific dust concentration. In addition to the standard concentration, a series of different dust concentration values ​​are set to cover various situations that may be encountered in the actual working environment. For each set dust concentration value, several identical charged detection modules are selected as samples, and step 2 is repeated to measure and record the critical values ​​of all charged detection modules under the dust concentration. This will give a value. A set of data is prepared, which includes the critical electrical values ​​corresponding to each charged detection module at different dust concentrations; all dust concentrations and their corresponding critical values ​​are aggregated into a data set, which includes the relationship information between dust concentration and the response of the charged detection module; the data set is used to train a neural network model, which is a powerful machine learning tool that can learn the complex relationship between input (here, dust concentration) and output (critical value); through training, the neural network can learn how to predict the corresponding critical value based on a given dust concentration; the trained neural network forms a simulation measurement model, which can be used to estimate the critical electrical value under unknown dust concentration;

[0037] As a preferred embodiment of the present invention, the process of setting the standard dust concentration includes:

[0038] The dust concentration is the amount of floating dust contained in a unit volume of air, and the unit is mg / m 3 Or grain / m 3 ; The numerical setting range of the standard dust concentration is [0.01, 0.1];

[0039] It should be noted that in a normal environment without special pollution sources, the indoor dust density is relatively low, about 0.01 g / cm3 to 0.1 g / cm3; therefore, the numerical setting range of the standard dust concentration is set here as [0.01, 0.1]; however, this value will vary depending on the region, environment and specific conditions; for example, in some industrial areas or areas close to deserts, the dust concentration may be higher; the detection of dust concentration can be carried out by a variety of methods, including direct measurement and indirect measurement; the direct measurement method is usually to directly read the dust concentration through an instrument, while the indirect measurement method requires the capture of particles and then weighing or microscopic counting to determine;

[0040] As a preferred embodiment of the present invention, the process of obtaining the electrical value includes:

[0041] When the charged detection module is based on an electromagnetic induction sensor, the electrical value is a change value caused by an electric field or a magnetic field around a conductor; when the charged detection module is based on a capacitive sensor, the electrical value is a change value of capacitance formed between the electromagnetic induction sensor and the device; when the charged detection module is based on an electric field induction type, the electrical value is the amount of induced charge of the electrode in the electric field;

[0042] It should be noted that there are many types of sensors based on the charged detection module, including electromagnetic induction, capacitance, and electric field induction. Electromagnetic induction sensors determine whether there is voltage by detecting changes caused by the electric field or magnetic field around the conductor. An induction coil is usually used to measure these changes and convert the results into visible or audible signals. Capacitive sensors determine whether an object is charged by measuring changes in the capacitance value formed between the sensor and the object being measured. When an object is charged, the electric field around it will change, resulting in changes in the capacitance value. Electric field induction sensors use the amount of induced charge on the electrode in the electric field to determine the charged state. When the sensor is close to or in contact with a charged object, an induced charge will be generated on the sensor's electrode due to electrostatic induction. Therefore, due to the different types of sensors based on which the charged sensor is based, the physical quantities represented by the electrical values ​​are different.

[0043] As a preferred embodiment of the present invention, the process of setting the dust concentration value includes:

[0044] An interval threshold is set, and the value setting range of the interval threshold is [0.001, 0.005]; the standard dust concentration is increased or decreased according to the interval threshold to obtain a plurality of dust concentration values;

[0045] It can be understood that first, an interval threshold is determined, which defines the step size of each adjustment of the dust concentration. Here, the numerical range of the interval threshold is set to [0.001, 0.005], which means that the amount of dust concentration increased or decreased each time will be between 0.001 and 0.005; based on the initial standard dust concentration, it is incremented or decremented according to the set interval threshold; for example, if the initial standard dust concentration is 0.01 mg / m³, and 0.003 is selected as the interval threshold, then the new dust concentration value may be 0.013 mg / m³ (increase) or 0.007 mg / m³ (decrease); by repeating the above increment or decrement process, a series of different dust concentration values ​​can be obtained; these values ​​cover a range from the lowest to the highest, depending on the selected interval threshold and the original standard dust concentration; the principle of this method is to explore the charged state of the equipment under different dust concentrations by controlling variables;

[0046] Calibration module: including an environment measurement unit and a deviation calibration unit; the environment measurement unit obtains the current dust concentration of the current environment in real time; obtains the critical value of the charged detection module under the current dust concentration through the simulation measurement model, recorded as the current simulation critical value; obtains the difference between the current critical value and the standard critical value; and calibrates the standard critical value according to the difference to obtain the calibration critical value;

[0047] It can be understood that the current dust concentration provided by the environmental measurement unit is used as input, substituted into the simulation measurement model, and the critical value of the charged detection module under the dust concentration, that is, the current simulation critical value, is calculated; the standard critical value is adjusted according to the difference to obtain the calibration critical value; this step is to ensure that the charged detection module makes more accurate judgments under different dust concentrations; if the current dust concentration is higher than the standard concentration, the charged detection module may trigger an alarm prematurely; conversely, if the dust concentration is low, the alarm may be delayed; through calibration, the charged detection module can accurately reflect the charged state of the device at any dust concentration;

[0048] As a preferred embodiment of the present invention, the process of obtaining the difference between the current critical value and the standard critical value includes: recording the current critical value as Ld, recording the standard critical value as Lb, and obtaining the difference C=Ld-Lb;

[0049] The process of calibrating the standard critical value according to the difference includes:

[0050] Set a simulation number threshold n, perform n simulations through the simulation measurement model, obtain n differences, obtain the difference mean Cave of the n differences, and then the calibration critical value Lj=Lb+Cave;

[0051] It can be understood that the setting of the simulation number threshold is to reduce the error of a single measurement through multiple simulations, thereby improving the accuracy of calibration; the difference mean is obtained based on the geometric mean of all n differences; this difference mean is added to the standard critical value to obtain the calibrated critical value, so that the charged detection module can more accurately reflect the charged state of the device under different dust concentrations;

[0052] Alarm module: The power detection module detects the device to obtain the current power value; determines the power status of the device according to the calibration critical value and the current power value, and monitors the cover opening status of the device, which includes cover opening and cover not opening; monitors whether the device is in abnormal cover opening according to the power status and cover opening status of the device;

[0053] As a preferred embodiment of the present invention, the process of determining the charged state of the device includes:

[0054] If the current power value is less than or equal to the calibration critical value, the device is in a non-charged state; if the current power value is greater than the calibration critical value, the device is in a charged state;

[0055] It can be understood that the current power value is recorded as Vc. If Vc ≥ Lj, the device is determined to be in a powered state; otherwise, the device is determined to be in a non-powered state;

[0056] As a preferred embodiment of the present invention, the process of monitoring whether the device is in an abnormal cover opening includes:

[0057] If and only if the device's charged state is in the charged state and the device's cover-opening state is in the cover-opening state, the device is in the abnormal cover-opening state, and the alarm module sends an alarm to the user at this time; otherwise, the device is not in the abnormal cover-opening state;

[0058] It is worth noting that the abnormal cover-opening state usually refers to the cover being opened when the device is powered on, which may bring safety risks; the cover-opening state can be determined by sensors or other detection mechanisms, which will not be elaborated here; when the device has several covers, as long as any one of the covers is open, the device is in the cover-opening state.

[0059] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An abnormal cover opening intelligent alarm system for underground mine maintenance, characterized in that: include: Power detection module: used to detect the power status of the equipment, which includes the power status and the non-power status; Deviation determination module: set a standard dust concentration, obtain a critical value when the charged detection module is at the standard dust concentration, and record it as a standard critical value; the critical value is the minimum electrical value when the charged detection module determines that the device is in a charged state; Setting a number of dust concentration values, obtaining the critical value of the charged detection module when it is at each dust concentration value, and obtaining a data set; establishing a neural network model, and training the neural network model according to the data set to obtain a simulation measurement model; Calibration module: including an environment measurement unit and a deviation calibration unit; the environment measurement unit obtains the current dust concentration of the current environment in real time; obtains the critical value of the charged detection module under the current dust concentration through the simulation measurement model, which is recorded as the current simulation critical value; obtains the difference between the current simulation critical value and the standard critical value; and calibrates the standard critical value according to the difference to obtain the calibration critical value; Alarm module: The live detection module detects the equipment and obtains the current power value; According to the calibration critical value and the current power value, the charged state of the device is determined, and the cover opening state of the device is monitored, wherein the cover opening state includes the cover opening and the cover not opening; according to the charged state and the cover opening state of the device, whether the device is in an abnormal cover opening state is monitored; The process of obtaining the difference between the current simulation critical value and the standard critical value includes: recording the current simulation critical value as Ld, recording the standard critical value as Lb, and obtaining the difference C=Ld-Lb; The process of calibrating the standard critical value according to the difference includes: A simulation number threshold n is set, and n simulations are performed through the simulation measurement model to obtain n differences, and a difference mean Cave of the n differences is obtained, and the calibration critical value Lj=Lb+Cave.

2. The abnormal cover opening intelligent alarm system for underground mine maintenance according to claim 1 is characterized in that: The process of setting the standard dust concentration includes: The dust concentration is the amount of floating dust contained in a unit volume of air, and the unit is mg / m 3 Or grain / m 3 ; The numerical setting range of the standard dust concentration is [0.01, 0.1].

3. The abnormal cover opening intelligent alarm system for underground mine maintenance according to claim 1 is characterized in that: The process of obtaining the electric value includes: When the charged detection module is based on an electromagnetic induction sensor, the electrical value is the change value caused by the electric field or magnetic field around the conductor; when the charged detection module is based on a capacitive sensor, the electrical value is the change value of the capacitance formed between the electromagnetic induction sensor and the device; when the charged detection module is based on electric field induction, the electrical value is the induced charge of the electrode in the electric field.

4. The abnormal cover opening intelligent alarm system for underground mine maintenance according to claim 1 is characterized in that: The dust concentration value setting process includes: An interval threshold is set, and a numerical setting range of the interval threshold is [0.001, 0.005]. The standard dust concentration is increased or decreased according to the interval threshold to obtain a plurality of dust concentration values.

5. The abnormal cover opening intelligent alarm system for underground mine maintenance according to claim 1 is characterized in that: The process of determining the energized status of the equipment includes: If the current power value is less than or equal to the calibration critical value, the device is in a non-charged state; if the current power value is greater than the calibration critical value, the device is in a charged state.

6. The abnormal cover opening intelligent alarm system for underground mine maintenance according to claim 1 is characterized in that: The process of monitoring whether the device is in an abnormal cover opening includes: If and only if the device's charged state is the charged state and the device's cover-opening state is the cover-opening state, the device is in abnormal cover-opening, and the alarm module sends an alarm to the user; otherwise, the device is not in abnormal cover-opening.

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