An intelligent monitoring system for underground power supply in coal mines

Abstract

The present invention discloses an intelligent monitoring system for underground power supply in a coal mine. After a corresponding set monitoring time interval is reached, the present invention collects the operating parameters of the corresponding transformer within the set time period, and performs analysis to obtain the electrical hidden danger index, thermal state hidden danger index and abnormal sound hidden danger index of each group of transformers within the set time period. The present invention can comprehensively monitor the electrical parameters, temperature parameters and sound parameters of the transformer, overcomes the limitation of the traditional monitoring method that only focuses on basic electrical parameters, thereby more accurately evaluating the health status of the transformer, providing intuitive quantitative indicators for maintenance personnel, and facilitating timely discovery of potential problems.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply monitoring, and in particular to an intelligent power supply monitoring system for underground coal mines. Background Art

[0002] In the underground power supply system of coal mines, the transformer is a key equipment and its stable operation is crucial to the entire underground production activities.

[0003] However, the existing coal mine underground power supply monitoring method still has the following shortcomings:

[0004] The monitoring of transformer operation status is not comprehensive and accurate enough. Usually, only some basic electrical parameters are simply monitored. It is impossible to obtain detailed temperature and sound information in real time to comprehensively evaluate the health of the transformer, and the monitoring is one-sided.

[0005] At the same time, the existing technology lacks an effective mechanism for handling alarms when an alarm is triggered during the monitoring process. It is unable to distinguish alarm signals according to the severity of the abnormality and take targeted measures according to the specific alarm signals triggered.

[0006] Therefore, an intelligent monitoring system for underground power supply in coal mines is introduced. Summary of the invention

[0007] In view of this, the present invention provides an intelligent monitoring system for underground power supply in a coal mine to solve the problems raised by the above background technology.

[0008] The purpose of the present invention can be achieved through the following technical solutions: An intelligent monitoring system for underground power supply in a coal mine, comprising:

[0009] Power supply collection module: divide the substation area of ​​the current coal mine underground, and after the area division is completed, number each group of transformers in the substation area. The number is represented by x, where x=1,2...,k, k represents the total number of transformers in the substation area of ​​the coal mine underground. After the numbering is completed, the monitoring time interval corresponding to each group of transformers is set. After the corresponding set monitoring time interval is reached, the operating parameters of the corresponding transformer within the set time period are collected and sent to the status analysis module; the operating parameters include electrical parameters, temperature parameters and sound parameters;

[0010] State analysis module: receiving the operating parameters of each group of transformers within a set time period and analyzing them, thereby obtaining the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within the set time period;

[0011] Alarm generation module: receives the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within a set time period, and executes corresponding steps to generate corresponding alarm signals; wherein the alarm signals include primary alarm signals and secondary alarm signals;

[0012] Alarm processing module: receives the corresponding alarm signal and executes the corresponding steps.

[0013] In some embodiments, the electrical hazard index Rtx of each group of transformers within a set time period is obtained, specifically:

[0014] Extracting electrical parameters from the operating parameters of each group of transformers within a set time period, wherein the electrical parameters include current and voltage;

[0015] The voltage and current values ​​of each group of transformers at each time point in the set time period are extracted, and the voltage and current values ​​at each time point are calculated using the standard deviation formula to obtain the voltage fluctuation value and current fluctuation value of each group of transformers in the set time period, which are recorded as Dx and Lx;

[0016] The voltage reference fluctuation value and the current reference fluctuation value of the voltage fluctuation value Dx and the current fluctuation value Lx are respectively preset and recorded as and ;

[0017] The voltage fluctuation value Dx and current fluctuation value Lx of each group of transformers in the set time period are compared with the voltage reference fluctuation value and current reference fluctuation value ;

[0018] If Dx> , then the highest voltage value is extracted from the voltage values ​​at each time point in the set time period as the voltage evaluation value; if Dx < , then the voltage values ​​at each time point in the set time period are averaged and used as the voltage evaluation value;

[0019] If Lx> , then the highest current value is extracted from the current values ​​at each time point in the set time period as the current evaluation value; if Lx< , then the current values ​​at each time point within the set time period are averaged and used as the current evaluation value;

[0020] The voltage and current evaluation values ​​of each group of transformers in the set time period are marked as Cax and Cbx respectively, and substituted into the formula A weighted calculation is performed to obtain the electrical hazard index Rtx of each group of transformers within the set time period; wherein Cux and Crx represent the maximum allowable thresholds of the voltage assessment value and the current assessment value of each group of transformers respectively; a1 and a2 are the influence weight factors of the voltage assessment value Cax and the current assessment value Cbx respectively.

[0021] In some embodiments, the thermal state hidden danger index Ftx of each group of transformers in a set time period is obtained, specifically:

[0022] Extracting temperature parameters from the operating parameters of each group of transformers within a set time period, wherein the temperature parameters include oil temperature and winding temperature;

[0023] Extract the oil temperature value and winding temperature value of each group of transformers at each time point within the set time period, and preset the reference oil temperature value and reference winding temperature value corresponding to the oil temperature value and winding temperature value of each group of transformers respectively;

[0024] The oil temperature values ​​of each group of transformers at each time point within the set time period are averaged to obtain the average oil temperature, and the maximum oil temperature value and the minimum oil temperature value are extracted from the oil temperature values ​​at each time point;

[0025] The average oil temperature, the highest oil temperature and the lowest oil temperature of each group of transformers are respectively calculated with the preset reference oil temperature value to obtain the average ratio, the highest ratio and the lowest ratio, that is, the average oil temperature / reference oil temperature value, the highest oil temperature / reference oil temperature value and the lowest oil temperature / reference oil temperature value;

[0026] Based on the obtained mean ratio, maximum ratio and minimum ratio, a three-dimensional rectangular model is constructed, and the mean ratio, maximum ratio and minimum ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the oil temperature evaluation value of each group of transformers;

[0027] Construct a method for calculating the average value of the winding temperature values ​​of each group of transformers at each time point within a set time period to obtain the winding temperature average value, and extract the highest winding temperature value and the lowest winding temperature value from the winding temperature values ​​at each time point, and calculate the ratio of the winding average value, the highest winding temperature value and the lowest winding temperature value of each group of transformers to the preset reference winding temperature value, respectively, to obtain the winding average ratio, the winding high ratio and the winding low ratio, that is, through the winding average value / reference winding temperature value, the highest winding temperature value / reference winding temperature value and the lowest winding temperature value / reference winding temperature value;

[0028] Based on the obtained average winding ratio, high winding ratio and low winding ratio, a three-dimensional rectangular model is constructed, and the average winding ratio, high winding ratio and low winding ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the winding temperature evaluation value of each group of transformers;

[0029] The weight coefficients corresponding to the oil temperature assessment value and the winding temperature assessment value are set respectively, and the oil temperature assessment value and the winding temperature assessment value of each group of transformers in the set time period are multiplied by the corresponding set weight coefficients respectively, and then the sum is obtained to obtain the thermal state hidden danger index Ftx of each group of transformers in the set time period.

[0030] In some embodiments, the abnormal noise hidden danger index Gtx of each group of transformers within a set time period is obtained, specifically:

[0031] Extracting sound parameters from the operating parameters of each group of transformers within a set time period, and preprocessing the sound parameters of each group of transformers within the set time period;

[0032] The abnormal sound reference value corresponding to the preset sound parameter is compared with the preset abnormal sound reference value in the set time period after the preprocessing is completed. If the sound parameter at a certain time point is higher than the preset abnormal sound reference value, the time point is marked as the starting point, and the timing starts from the starting point until the sound parameter is lower than the preset abnormal sound reference value, and the timing ends, and the duration after the timing ends is marked as the abnormal sound segment; after the abnormal sound segments of each group of transformers in the set time period are identified, the duration of the abnormal sound segments is accumulated to obtain the cumulative abnormal duration of each group of transformers in the set time period;

[0033] Preset the time value ranges of each group corresponding to the accumulated abnormal time, set each time value range to correspond to an abnormal sound risk value, match the accumulated abnormal time of each group of transformers in the set time period with the corresponding time value range, so as to obtain the abnormal sound risk value of each group of transformers in the set time period;

[0034] The abnormal noise risk value of each group of transformers is used as the abnormal noise hidden danger index Gtx of each group of transformers within a set time period.

[0035] In some embodiments, corresponding steps are performed to generate corresponding alarm signals, specifically:

[0036] M1: Preset the threshold indexes corresponding to the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within the set time period. , as well as Marking, where , as well as They represent the electrical hidden danger threshold index, thermal state hidden danger threshold index and abnormal noise hidden danger threshold index respectively;

[0037] M2: Compare the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx of each group of transformers within the set time period with the corresponding preset threshold index. If a group of indexes among the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx is greater than the corresponding preset threshold index, calculate the difference between the group index and the threshold index as the alarm difference;

[0038] M3: Preset the weight coefficients corresponding to the electrical hazard index Rtx, thermal state hazard index Ftx and abnormal sound hazard index Gtx respectively, multiply the alarm differences calculated for each group of transformers by the corresponding weight coefficients, and sum them up to obtain the alarm evaluation value of each group of transformers within the set time period, set the first-level alarm signal and the second-level alarm signal to correspond to a value range of the alarm evaluation value respectively, match the alarm evaluation value of each group of transformers within the set time period with the corresponding value range, and generate the corresponding alarm signal.

[0039] In some embodiments, a corresponding alarm signal is received, thereby executing corresponding steps, specifically:

[0040] Level 1 alarm signal: The triggered level 1 alarm signal is sent to the maintenance personnel who are on duty at the current time point. A maintenance personnel who is on duty is randomly selected. After receiving the triggered level 1 alarm signal, the maintenance personnel analyzes the signal. After the analysis is completed, it is determined whether it is necessary to stop the equipment associated with the transformer from continuing to operate. After the operation is completed, if the maintenance personnel needs to go to the location of the transformer for further inspection, the retrieval signal is triggered with one key. After the retrieval signal is triggered, the surrounding environmental parameters of the location of the transformer are analyzed to obtain the environmental status index Hjz of the location of the transformer. Based on the environmental status index Hjz of the location of the transformer, the environmental status level is fed back to the maintenance personnel. The maintenance personnel receives the environmental status level of the location of the transformer and decides whether to go to the location of the transformer at the current time point. If they refuse to go, the surrounding environmental parameters of the location of the transformer are continuously analyzed and pushed to the maintenance personnel.

[0041] Level 2 alarm signal: directly stop the operation of the equipment associated with the transformer, and draw a circle with the location of the transformer as the center and the set distance as the radius. Select the maintenance personnel on duty within the circle as candidates, analyze the protection effectiveness value of each candidate, select the candidate with the largest protection effectiveness value, and send the triggered level 2 alarm signal to the personnel. At the same time, send the environmental status level of the transformer's location to the personnel. After receiving the environmental status level, the personnel decides whether to wear protective equipment and immediately goes to the location of the transformer for inspection.

[0042] In some embodiments, the surrounding environment parameters of the location of the transformer are analyzed to obtain the environmental state index Hjz of the location of the transformer, which is specifically:

[0043] Obtain the dust concentration, gas concentration, carbon monoxide concentration, and carbon dioxide concentration of the surrounding environment of the transformer at the current time point, and mark them as m1, m2, m3, and m4 respectively;

[0044] According to the formula The dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4 of the environment around the transformer are weightedly calculated to obtain the environmental status index Hjz of the transformer; wherein d1, d2, d3 and d4 are respectively the preset allowable dust concentration, allowable gas concentration, allowable carbon monoxide concentration and allowable carbon dioxide concentration; v1, v2, v3 and v4 are respectively the influence weight factors of the dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4;

[0045] The three groups of index value ranges corresponding to the preset environmental status index Hjz are set to correspond to an environmental status level respectively; the environmental status level includes a good status level, a general status level and a poor status level.

[0046] In some embodiments, the protection effectiveness value of each candidate is analyzed, specifically:

[0047] Extract the working hours of each candidate from their work log, and convert the working hours into working experience scores based on preset conversion rules;

[0048] Set the working time range for each group, and each working time range corresponds to a working experience score, and convert the working time of each candidate into the working experience score;

[0049] Obtain the number of times each candidate was processed last month, and extract the duration of each processing; set a reference duration for a single processing, and compare the duration of each processing of each candidate last month with the set reference duration. If the duration of a certain processing is lower than the set reference duration, mark the processing as early processing; count the number of early processing times of each candidate last month as the number of early processing times;

[0050] Set the weight coefficients corresponding to the work experience score and the number of advance times respectively, multiply the work experience score and the number of advance times of each candidate by the corresponding weight coefficient respectively, and then add them up as the protection effectiveness value of each candidate.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] After reaching the corresponding set monitoring time interval, the present invention collects the operating parameters of the corresponding transformer within the set time period, and analyzes them to obtain the electrical hidden danger index, thermal state hidden danger index and abnormal sound hidden danger index of each group of transformers within the set time period, and can comprehensively monitor the electrical parameters, temperature parameters and sound parameters of the transformer, overcoming the limitation of the traditional monitoring method that only focuses on basic electrical parameters, thereby more accurately evaluating the health status of the transformer, providing intuitive quantitative indicators for maintenance personnel, and helping to discover potential problems in a timely manner;

[0053] The present invention presets threshold indices corresponding to electrical hidden danger index, thermal state hidden danger index and abnormal sound hidden danger index, compares each hidden danger index with the threshold index, calculates an alarm evaluation value based on the comparison result, generates a corresponding alarm signal according to the matching of the alarm evaluation value with the value range corresponding to the first-level alarm signal and the second-level alarm signal, and takes corresponding processing measures for alarm signals of different levels, thereby improving the pertinence and efficiency of alarm processing;

[0054] The present invention calculates the protection effectiveness value by analyzing the working experience score and the number of advance processing times of the candidate personnel in the secondary alarm signal processing process, thereby selecting the most suitable maintenance personnel, and fully considering the ability and efficiency of the maintenance personnel;

[0055] The present invention analyzes the surrounding environment parameters of the transformer location when processing the first-level alarm signal, obtains the environmental status index and feeds back the environmental status level, so that maintenance personnel can make reasonable decisions according to environmental conditions, thereby ensuring the safety of maintenance personnel when handling faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0057] Figure 1It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0058] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0059] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0060] See also Figure 1 As shown, an intelligent monitoring system for underground power supply in a coal mine includes a power supply acquisition module, a state analysis module, an alarm generation module and an alarm processing module;

[0061] The power supply collection module is used to divide the substation area of ​​the current coal mine. After the area division is completed, each group of transformers in the substation area is numbered. The number is represented by x, where x=1, 2..., k, and k represents the total number of transformers in the substation area of ​​the coal mine. After the numbering is completed, the monitoring time interval corresponding to each group of transformers is set. After the corresponding set monitoring time interval is reached, the operating parameters of the corresponding transformer within the set time period are collected and sent to the state analysis module; the operating parameters include electrical parameters, temperature parameters, and sound parameters;

[0062] The division areas include mining area, transportation area, ventilation area, drainage area and substation area. The division of the areas is carried out according to the installation locations of mining equipment, transportation equipment, ventilation equipment, drainage equipment and substation equipment in the coal mine.

[0063] The state analysis module is used to receive the operating parameters of each group of transformers within a set time period and analyze them, thereby obtaining the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx of each group of transformers within the set time period;

[0064] Specifically:

[0065] S1: extracting electrical parameters from the operating parameters of each group of transformers within a set time period, where the electrical parameters include current and voltage, and collecting data through pre-deployed voltage sensors and current sensors;

[0066] The voltage and current values ​​of each group of transformers at each time point in the set time period are extracted, and the voltage and current values ​​at each time point are calculated using the standard deviation formula to obtain the voltage fluctuation value and current fluctuation value of each group of transformers in the set time period, which are recorded as Dx and Lx;

[0067] The voltage reference fluctuation value and the current reference fluctuation value of the voltage fluctuation value Dx and the current fluctuation value Lx are respectively preset and recorded as and ;

[0068] The voltage fluctuation value Dx and current fluctuation value Lx of each group of transformers in the set time period are compared with the voltage reference fluctuation value and current reference fluctuation value ;

[0069] If Dx> , then the highest voltage value is extracted from the voltage values ​​at each time point in the set time period as the voltage evaluation value; if Dx < , then the voltage values ​​at each time point in the set time period are averaged and used as the voltage evaluation value;

[0070] If Lx> , then the highest current value is extracted from the current values ​​at each time point in the set time period as the current evaluation value; if Lx< , then the current values ​​at each time point within the set time period are averaged and used as the current evaluation value;

[0071] The voltage and current evaluation values ​​of each group of transformers in the set time period are marked as Cax and Cbx respectively, and substituted into the formula A weighted calculation is performed to obtain the electrical hazard index Rtx of each group of transformers within a set time period; wherein Cux and Crx represent the highest allowable thresholds of the voltage assessment value and current assessment value corresponding to each group of transformers, respectively; a1 and a2 are the influence weight factors of the voltage assessment value Cax and the current assessment value Cbx, respectively;

[0072] The maximum allowable thresholds of the voltage evaluation value and the current evaluation value are introduced, and the electrical hazard index is obtained through weighted calculation, which can more comprehensively reflect the electrical hazard status of the transformer in the set time period.

[0073] S2: extracting temperature parameters from the operating parameters of each group of transformers within a set time period, where the temperature parameters include oil temperature and winding temperature, and collecting data through pre-deployed temperature sensors;

[0074] Extract the oil temperature value and winding temperature value of each group of transformers at each time point within the set time period, and preset the reference oil temperature value and reference winding temperature value corresponding to the oil temperature value and winding temperature value of each group of transformers respectively;

[0075] The oil temperature values ​​of each group of transformers at each time point within the set time period are averaged to obtain the average oil temperature, and the maximum oil temperature value and the minimum oil temperature value are extracted from the oil temperature values ​​at each time point;

[0076] The average oil temperature, the highest oil temperature and the lowest oil temperature of each group of transformers are respectively calculated with the preset reference oil temperature value to obtain the average ratio, the highest ratio and the lowest ratio, that is, the average oil temperature / reference oil temperature value, the highest oil temperature / reference oil temperature value and the lowest oil temperature / reference oil temperature value;

[0077] Based on the obtained mean ratio, maximum ratio and minimum ratio, a three-dimensional rectangular model is constructed, and the mean ratio, maximum ratio and minimum ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the oil temperature evaluation value of each group of transformers;

[0078] The winding temperature values ​​of each group of transformers at each time point within a set time period are averaged to obtain the winding temperature average value, and the highest winding temperature value and the lowest winding temperature value are extracted from the winding temperature values ​​at each time point, and the winding average value, the highest winding temperature value and the lowest winding temperature value of each group of transformers are respectively calculated with the preset reference winding temperature value to obtain the winding average ratio, the winding high ratio and the winding low ratio, that is, the winding average value / reference winding temperature value, the highest winding temperature value / reference winding temperature value and the lowest winding temperature value / reference winding temperature value;

[0079] Based on the obtained average winding ratio, high winding ratio and low winding ratio, a three-dimensional rectangular model is constructed, and the average winding ratio, high winding ratio and low winding ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the winding temperature evaluation value of each group of transformers;

[0080] Set the weight coefficients corresponding to the oil temperature assessment value and the winding temperature assessment value, respectively, multiply the oil temperature assessment value and the winding temperature assessment value of each group of transformers in the set time period by the corresponding set weight coefficients, and then sum them up to obtain the thermal state hidden danger index Ftx of each group of transformers in the set time period;

[0081] By setting the weight coefficient and summing up the thermal state hidden danger index, an intuitive quantitative indicator is provided for maintenance personnel. The higher the thermal state hidden danger index, the more unstable the thermal state of the transformer is, and closer attention and corresponding maintenance measures need to be taken;

[0082] S3: extracting sound parameters from the operating parameters of each group of transformers within a set time period, and collecting data through pre-deployed sound sensors;

[0083] Preprocessing the sound parameters of each group of transformers within a set time period; the preprocessing includes but is not limited to filtering, amplification and analog-to-digital conversion;

[0084] The abnormal sound reference value corresponding to the preset sound parameter is compared with the preset abnormal sound reference value after the preprocessing is completed. If the sound parameter at a certain time point is higher than the preset abnormal sound reference value, the time point is marked as the starting point, and the timing starts from the starting point until the sound parameter is lower than the preset abnormal sound reference value, and the timing ends, and the duration after the timing ends is marked as the abnormal sound segment;

[0085] After the abnormal sound segments of each group of transformers in the set time period are identified, the duration of the abnormal sound segments is accumulated to obtain the cumulative abnormal duration of each group of transformers in the set time period;

[0086] Preset the time value ranges of each group corresponding to the accumulated abnormal time, set each time value range to correspond to an abnormal sound risk value, match the accumulated abnormal time of each group of transformers in the set time period with the corresponding time value range, so as to obtain the abnormal sound risk value of each group of transformers in the set time period; the longer the accumulated abnormal time, the higher the abnormal sound risk value obtained by matching;

[0087] The abnormal noise risk value of each group of transformers is used as the abnormal noise hidden danger index Gtx of each group of transformers within the set time period;

[0088] The duration value range corresponding to the cumulative abnormal duration is preset, and an abnormal sound risk value is set for each range. By matching the cumulative abnormal duration with the duration value range, the abnormal sound hidden danger index of the transformer can be obtained, which is convenient for maintenance personnel to intuitively understand the abnormal sound risk level of the transformer;

[0089] The alarm generation module is used to receive the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx of each group of transformers within a set time period, and execute corresponding steps to generate corresponding alarm signals; wherein the alarm signals include primary alarm signals and secondary alarm signals;

[0090] Specifically:

[0091] M1: Preset the threshold indexes corresponding to the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within the set time period. , as well as Marking, where , as well as They represent the electrical hidden danger threshold index, thermal state hidden danger threshold index and abnormal noise hidden danger threshold index respectively;

[0092] M2: Compare the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx of each group of transformers within the set time period with the corresponding preset threshold index. If a group of indexes among the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx is greater than the corresponding preset threshold index, calculate the difference between the group index and the threshold index as the alarm difference;

[0093] M3: Preset the weight coefficients corresponding to the electrical hidden danger index Rtx, the thermal state hidden danger index Ftx and the abnormal sound hidden danger index Gtx respectively, multiply the alarm difference values ​​of each group of transformers calculated by the corresponding weight coefficients, and sum them up to obtain the alarm evaluation value of each group of transformers within the set time period, set the first-level alarm signal and the second-level alarm signal to correspond to a value range of the alarm evaluation value respectively, match the alarm evaluation value of each group of transformers within the set time period with the corresponding value range, and generate the corresponding alarm signal;

[0094] The alarm processing module is used to receive the corresponding alarm signal and execute the corresponding steps;

[0095] Specifically:

[0096] Level 1 alarm signal: The triggered level 1 alarm signal is sent to the maintenance personnel who are on duty at the current time point. A maintenance personnel who is on duty is randomly selected. After receiving the triggered level 1 alarm signal, the maintenance personnel analyzes the signal. After the analysis is completed, it is determined whether it is necessary to stop the equipment associated with the transformer from continuing to operate. After the operation is completed, if the maintenance personnel needs to go to the location of the transformer for further inspection, the retrieval signal is triggered with one key. After the retrieval signal is triggered, the surrounding environmental parameters of the location of the transformer are analyzed to obtain the environmental status index Hjz of the location of the transformer. Based on the environmental status index Hjz of the location of the transformer, the environmental status level is fed back to the maintenance personnel. The maintenance personnel receives the environmental status level of the location of the transformer and decides whether to go to the location of the transformer at the current time point. If they refuse to go, the surrounding environmental parameters of the location of the transformer are continuously analyzed and pushed to the maintenance personnel.

[0097] The environmental status index Hjz of the transformer location is obtained, which is:

[0098] Obtain the dust concentration, gas concentration, carbon monoxide concentration, and carbon dioxide concentration of the surrounding environment of the transformer at the current time point, and mark them as m1, m2, m3, and m4 respectively;

[0099] According to the formula The dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4 of the environment around the transformer are weightedly calculated to obtain the environmental status index Hjz of the transformer; wherein d1, d2, d3 and d4 are respectively the preset allowable dust concentration, allowable gas concentration, allowable carbon monoxide concentration and allowable carbon dioxide concentration; v1, v2, v3 and v4 are respectively the influence weight factors of the dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4;

[0100] The three groups of index value ranges corresponding to the preset environmental state index Hjz are set to correspond to an environmental state level respectively; the environmental state level includes a good state level, a general state level and a poor state level;

[0101] For example, if the transformer supplies power to an important mining equipment, the operation of the mining equipment should be stopped immediately to avoid equipment damage or safety accidents caused by transformer failure;

[0102] Secondary alarm signal: directly stop the operation of the equipment associated with the transformer, and draw a circle with the location of the transformer as the center and the distance as the radius. Select the maintenance personnel on duty within the circle as candidates, analyze the protection effectiveness value of each candidate, select the candidate with the largest protection effectiveness value, and send the triggered secondary alarm signal to the personnel. At the same time, send the environmental status level of the location of the transformer to the personnel. After receiving the environmental status level, the personnel decides whether to wear protective equipment and immediately goes to the location of the transformer for inspection;

[0103] Specifically:

[0104] Extract the working hours of each candidate from their work log, and convert the working hours into a work experience score based on a preset conversion rule; the work experience score range is set to 1-10 and is an integer;

[0105] Set the working time range for each group, and each working time range corresponds to a working experience score, and convert the working time of each candidate into the working experience score;

[0106] Get the number of times each candidate processed last month, and extract the time taken for each processing; the time taken starts from the time when the maintenance personnel is selected and ends when the inspection is completed; set a reference time for a single processing, and compare the time taken for each processing time of each candidate last month with the set reference time. If the time taken for a certain processing is lower than the set reference time, mark the processing as early processing; count the number of early processing times of each candidate last month as the number of early processing times;

[0107] Set the weight coefficients corresponding to the work experience score and the number of advance appointments, multiply the work experience score and the number of advance appointments of each candidate by the corresponding weight coefficient, and then add them up as the nursing effectiveness value of each candidate;

[0108] In summary, when the transformer triggers the corresponding alarm signal, effective measures can be taken quickly, which improves the efficiency and safety of alarm processing. At the same time, the ability of maintenance personnel and on-site environmental factors are fully considered, providing a strong guarantee for the stable operation of the underground power supply system in coal mines.

[0109] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring system for underground power supply in coal mines, characterized in that: include: Power supply collection module: divide the substation area of ​​the current coal mine underground, and after the area division is completed, number each group of transformers in the substation area. The number is represented by x, where x=1,2...,k, k represents the total number of transformers in the substation area of ​​the coal mine underground. After the numbering is completed, the monitoring time interval corresponding to each group of transformers is set. After the corresponding set monitoring time interval is reached, the operating parameters of the corresponding transformer within the set time period are collected and sent to the status analysis module; the operating parameters include electrical parameters, temperature parameters and sound parameters; State analysis module: receiving the operating parameters of each group of transformers within a set time period and analyzing them, thereby obtaining the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within the set time period; Alarm generation module: receiving the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within a set time period, and executing corresponding steps to generate corresponding alarm signals; wherein the alarm signals include primary alarm signals and secondary alarm signals; Execute the corresponding steps to generate the corresponding alarm signal, specifically: M1: Preset the threshold indexes corresponding to the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal noise hidden danger index Gtx of each group of transformers within the set time period. , as well as Marking, where , as well as They represent the electrical hidden danger threshold index, thermal state hidden danger threshold index and abnormal noise hidden danger threshold index respectively; M2: Compare the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx of each group of transformers within the set time period with the corresponding preset threshold index. If a group of indexes among the electrical hidden danger index Rtx, thermal state hidden danger index Ftx and abnormal sound hidden danger index Gtx is greater than the corresponding preset threshold index, calculate the difference between the group index and the threshold index as the alarm difference; M3: Preset the weight coefficients corresponding to the electrical hidden danger index Rtx, the thermal state hidden danger index Ftx and the abnormal sound hidden danger index Gtx respectively, multiply the alarm difference values ​​of each group of transformers calculated by the corresponding weight coefficients, and sum them up to obtain the alarm evaluation value of each group of transformers within the set time period, set the first-level alarm signal and the second-level alarm signal to correspond to a value range of the alarm evaluation value respectively, match the alarm evaluation value of each group of transformers within the set time period with the corresponding value range, and generate the corresponding alarm signal; Alarm processing module: receives the corresponding alarm signal and executes the corresponding steps.

2. The intelligent monitoring system for underground power supply in coal mines according to claim 1, characterized in that: The electrical hazard index Rtx of each group of transformers in the set time period is obtained, specifically: Extracting electrical parameters from the operating parameters of each group of transformers within a set time period, wherein the electrical parameters include current and voltage; The voltage and current values ​​of each group of transformers at each time point in the set time period are extracted, and the voltage and current values ​​at each time point are calculated using the standard deviation formula to obtain the voltage fluctuation value and current fluctuation value of each group of transformers in the set time period, which are recorded as Dx and Lx; The voltage reference fluctuation value and the current reference fluctuation value of the voltage fluctuation value Dx and the current fluctuation value Lx are respectively preset and recorded as and ; The voltage fluctuation value Dx and current fluctuation value Lx of each group of transformers in the set time period are compared with the voltage reference fluctuation value and current reference fluctuation value ; If Dx> , then the highest voltage value is extracted from the voltage values ​​at each time point in the set time period as the voltage evaluation value; If Dx< , then the voltage values ​​at each time point in the set time period are averaged and used as the voltage evaluation value; If Lx> , then the highest current value is extracted from the current values ​​at each time point within the set time period as the current evaluation value; If Lx< , then the current values ​​at each time point within the set time period are averaged and used as the current evaluation value; The voltage and current evaluation values ​​of each group of transformers in the set time period are marked as Cax and Cbx respectively, and substituted into the formula A weighted calculation is performed to obtain the electrical hazard index Rtx of each group of transformers within the set time period; wherein Cux and Crx represent the maximum allowable thresholds of the voltage assessment value and the current assessment value of each group of transformers respectively; a1 and a2 are the influence weight factors of the voltage assessment value Cax and the current assessment value Cbx respectively.

3. The intelligent monitoring system for underground power supply in coal mines according to claim 1 is characterized in that: The thermal state hidden danger index Ftx of each group of transformers in the set time period is obtained, specifically: Extracting temperature parameters from the operating parameters of each group of transformers within a set time period, wherein the temperature parameters include oil temperature and winding temperature; Extract the oil temperature value and winding temperature value of each group of transformers at each time point within the set time period, and preset the reference oil temperature value and reference winding temperature value corresponding to the oil temperature value and winding temperature value of each group of transformers respectively; The oil temperature values ​​of each group of transformers at each time point within the set time period are averaged to obtain the average oil temperature, and the maximum oil temperature value and the minimum oil temperature value are extracted from the oil temperature values ​​at each time point; The average oil temperature, the highest oil temperature and the lowest oil temperature of each group of transformers are respectively calculated with the preset reference oil temperature value to obtain the average ratio, the highest ratio and the lowest ratio, that is, the average oil temperature / reference oil temperature value, the highest oil temperature / reference oil temperature value and the lowest oil temperature / reference oil temperature value; Based on the obtained mean ratio, maximum ratio and minimum ratio, a three-dimensional rectangular model is constructed, and the mean ratio, maximum ratio and minimum ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the oil temperature evaluation value of each group of transformers; Construct a method for calculating the average value of the winding temperature values ​​of each group of transformers at each time point within a set time period to obtain the winding temperature average value, and extract the highest winding temperature value and the lowest winding temperature value from the winding temperature values ​​at each time point, and calculate the ratio of the winding average value, the highest winding temperature value and the lowest winding temperature value of each group of transformers to the preset reference winding temperature value, respectively, to obtain the winding average ratio, the winding high ratio and the winding low ratio, that is, through the winding average value / reference winding temperature value, the highest winding temperature value / reference winding temperature value and the lowest winding temperature value / reference winding temperature value; Based on the obtained average winding ratio, high winding ratio and low winding ratio, a three-dimensional rectangular model is constructed, and the average winding ratio, high winding ratio and low winding ratio are used as the length value, width value and height value of the three-dimensional rectangular model respectively, thereby constructing the three-dimensional rectangular model, and calculating the volume of the constructed three-dimensional rectangular model as the winding temperature evaluation value of each group of transformers; The weight coefficients corresponding to the oil temperature assessment value and the winding temperature assessment value are set respectively, and the oil temperature assessment value and the winding temperature assessment value of each group of transformers in the set time period are multiplied by the corresponding set weight coefficients respectively, and then the sum is obtained to obtain the thermal state hidden danger index Ftx of each group of transformers in the set time period.

4. The intelligent monitoring system for underground power supply in coal mines according to claim 1, characterized in that: The abnormal noise hidden danger index Gtx of each group of transformers in the set time period is obtained, which is specifically: Extracting sound parameters from the operating parameters of each group of transformers within a set time period, and preprocessing the sound parameters of each group of transformers within the set time period; The abnormal sound reference value corresponding to the preset sound parameter is compared with the preset abnormal sound reference value in the set time period after the preprocessing is completed. If the sound parameter at a certain time point is higher than the preset abnormal sound reference value, the time point is marked as the starting point, and the timing starts from the starting point until the sound parameter is lower than the preset abnormal sound reference value, and the timing ends, and the duration after the timing ends is marked as the abnormal sound segment; after the abnormal sound segments of each group of transformers in the set time period are identified, the duration of the abnormal sound segments is accumulated to obtain the cumulative abnormal duration of each group of transformers in the set time period; Preset the time value ranges of each group corresponding to the accumulated abnormal time, set each time value range to correspond to an abnormal sound risk value, match the accumulated abnormal time of each group of transformers in the set time period with the corresponding time value range, so as to obtain the abnormal sound risk value of each group of transformers in the set time period; The abnormal noise risk value of each group of transformers is used as the abnormal noise hidden danger index Gtx of each group of transformers within a set time period.

5. The intelligent monitoring system for underground power supply in coal mines according to claim 1, characterized in that: Receive the corresponding alarm signal, and then execute the corresponding steps, specifically: Level 1 alarm signal: The triggered level 1 alarm signal is sent to the maintenance personnel who are on duty at the current time point. A maintenance personnel who is on duty is randomly selected. After receiving the triggered level 1 alarm signal, the maintenance personnel analyzes the signal. After the analysis is completed, it is determined whether it is necessary to stop the equipment associated with the transformer from continuing to operate. After the operation is completed, if the maintenance personnel needs to go to the location of the transformer for further inspection, the retrieval signal is triggered with one key. After the retrieval signal is triggered, the surrounding environmental parameters of the location of the transformer are analyzed to obtain the environmental status index Hjz of the location of the transformer. Based on the environmental status index Hjz of the location of the transformer, the environmental status level is fed back to the maintenance personnel. The maintenance personnel receives the environmental status level of the location of the transformer and decides whether to go to the location of the transformer at the current time point. If they refuse to go, the surrounding environmental parameters of the location of the transformer are continuously analyzed and pushed to the maintenance personnel. Level 2 alarm signal: directly stop the operation of the equipment associated with the transformer, and draw a circle with the location of the transformer as the center and the set distance as the radius. Select the maintenance personnel on duty within the circle as candidates, analyze the protection effectiveness value of each candidate, select the candidate with the largest protection effectiveness value, and send the triggered level 2 alarm signal to the personnel. At the same time, send the environmental status level of the transformer's location to the personnel. After receiving the environmental status level, the personnel decides whether to wear protective equipment and immediately goes to the location of the transformer for inspection.

6. The intelligent monitoring system for underground power supply in coal mines according to claim 5, characterized in that: The surrounding environment parameters of the transformer are analyzed to obtain the environmental status index Hjz of the transformer, which is: Obtain the dust concentration, gas concentration, carbon monoxide concentration, and carbon dioxide concentration of the surrounding environment of the transformer at the current time point, and mark them as m1, m2, m3, and m4 respectively; According to the formula The dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4 of the environment around the transformer are weightedly calculated to obtain the environmental status index Hjz of the transformer; wherein d1, d2, d3 and d4 are respectively the preset allowable dust concentration, allowable gas concentration, allowable carbon monoxide concentration and allowable carbon dioxide concentration; v1, v2, v3 and v4 are respectively the influence weight factors of the dust concentration m1, gas concentration m2, carbon monoxide concentration m3 and carbon dioxide concentration m4; The three groups of index value ranges corresponding to the preset environmental status index Hjz are set to correspond to an environmental status level respectively; the environmental status level includes a good status level, a general status level and a poor status level.

7. The intelligent monitoring system for underground power supply in coal mines according to claim 5, characterized in that: Analyze the protection effectiveness value of each candidate, specifically: Extract the working hours of each candidate from their work log, and convert the working hours into working experience scores based on preset conversion rules; Set the working time range for each group, and each working time range corresponds to a working experience score, and convert the working time of each candidate into the working experience score; Get the number of times each candidate was processed last month, and extract the duration of each processing; set a reference duration for a single processing, and compare the duration of each processing of each candidate last month with the set reference duration. If the duration of a processing is lower than the set reference duration, mark the processing as early processing; The number of advance processing times of each candidate last month is counted as the advance processing times; Set the weight coefficients corresponding to the work experience score and the number of advance times respectively, multiply the work experience score and the number of advance times of each candidate by the corresponding weight coefficient respectively, and then add them up as the protection effectiveness value of each candidate.

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