A method and system for supervising and monitoring production status of mining enterprises

Abstract

The present application provides a method and system for supervising and monitoring the production status of a mining enterprise, including: S1, collecting the basic data of the enterprise, the mine electricity consumption data and the mine personnel data; S2, judging whether the mine electricity consumption data is missing, if so, executing S3, otherwise, executing S4; S3, judging whether the production status of the enterprise is suspended and the mine personnel data is greater than the preset personnel threshold according to the production status data in the basic data, if so, judging that the enterprise has resumed work without permission, otherwise, judging the production status of the enterprise according to the personnel benchmark data and the preset mine personnel threshold; S4, judging whether the production status of the enterprise is suspended and the mine electricity consumption data is greater than the corresponding preset electricity consumption threshold according to the production status data of the enterprise in the basic data, if so, judging that the enterprise has resumed work without permission, otherwise, judging the production status of the enterprise according to the mine electricity consumption benchmark data and the preset mine electricity consumption threshold. The present application improves the timeliness and accuracy of obtaining the production status of the enterprise.

Description

Technical Field

[0001] The present application relates to the technical field of mine production status supervision and inspection, and in particular to a method and system for production status supervision and inspection of a mining enterprise. Background Art

[0002] The resumption of work and production of mining enterprises refers to the event that all or part of the mining enterprises cannot carry out normal production due to special accidents, major holidays, national macro-control and other factors. It is the process when the production status of the enterprise changes from suspension to production. After the suspension of mining enterprises, the national and local governments need to uniformly guide the enterprises to resume work and production. The integration of multi-dimensional data of mining enterprises for resumption of work and production analysis is of great significance for analyzing the resumption rate of mining enterprises, ensuring supply, and promoting people's livelihood. At the same time, it provides important technical means for regulatory and supervisory departments to accurately analyze illegal production behaviors such as the suspension of mining enterprises and the dark operation of mining enterprises, and strengthen supervision.

[0003] With the in-depth development of intelligent mining, the environmental monitoring data in the mine sensing system and the real-time monitoring data of underground personnel have realized data networking, and the data flow is transmitted from the mining enterprise to the directly affiliated supervision and inspection department and the higher-level supervision and inspection department.

[0004] Remote supervision and inspection of mine resumption of work and production mainly include: enterprises that fail to meet the conditions for resumption of work and production and illegally produce (referred to as open suspension and secret operation), enterprises that meet the conditions for resumption of work and production but do not produce normally, and enterprises that meet the conditions for resumption of work and production and produce normally.

[0005] Some researchers have also proposed some methods for monitoring the resumption of work and production of mining enterprises. By clustering the electricity consumption characteristics of mining enterprises and obtaining the industry to which the enterprises belong, analyzing and comparing the electricity consumption characteristics of different mining enterprises, and analyzing and comparing the electricity consumption characteristics of the industry as a whole with those of previous years, the overall situation of the resumption of work and production of mining enterprises can be obtained, and the resumption of work and production of mining enterprises can be monitored. At present, there is still a gap in the research on fully utilizing the underground sensing data of the mining production system and combining it with the mining power data to monitor the resumption of work and production in mines.

[0006] There are two problems with the existing supervision of the resumption of work and production of mining enterprises:

[0007] 1. Relying on manual reporting at each level for statistics cannot timely grasp the situation of enterprises’ resumption of work and production.

[0008] The current resumption of work and production monitoring system mainly relies on enterprises to report step by step. In recent years, with the rapid development of intelligent mining, the perception data of mines has been collected, transmitted and aggregated from mines to the next level of regulatory and supervisory departments. These real-time data are processed and stored in the database. However, relying on manual reporting at each level for statistics cannot timely grasp the resumption of work and production of enterprises.

[0009] 2. Failure to timely grasp illegal behaviors such as enterprises stopping in public and operating in secret, stopping during the day and operating at night, etc.

[0010] Due to the limited manpower of the supervision and inspection departments, it is impossible to implement on-site supervision and inspection of mining enterprises across the country, timely grasp the suspension of mines ordered to suspend production for rectification and maintenance, and timely grasp the illegal behaviors of enterprises such as open suspension and dark operation, daytime suspension and night operation.

[0011] Therefore, how to improve the timeliness and accuracy of mining enterprises' production status acquisition is a technical problem that needs to be solved urgently. Summary of the invention

[0012] The purpose of this application is to provide a method and system for supervising and monitoring the production status of a mining enterprise, thereby improving the timeliness and accuracy of obtaining the production status of a mining enterprise.

[0013] To achieve the above objectives, the present application provides a method for monitoring and supervising the production status of a mining enterprise, the method comprising the following steps:

[0014] Step S1, collecting basic data of mining enterprises, mining electricity consumption data and mining personnel data;

[0015] Step S2, judging whether the mine power consumption data is missing according to the collected mine power consumption data, if yes, executing step S3, otherwise, executing step S4;

[0016] Step S3, based on the production status data of the mining enterprise in the basic data, determine whether the enterprise's production status is suspended and the mine personnel data is greater than the preset personnel threshold. If so, it is determined that the enterprise has resumed work and production without permission. Otherwise, obtain the personnel benchmark data of the date type corresponding to the basic data, and determine the actual production status of the mining enterprise based on the personnel benchmark data and the preset mine personnel threshold judgment standard;

[0017] Step S4, based on the production status data of the mining enterprise in the basic data, determine whether the enterprise's production status is suspended and the mine electricity consumption data is greater than the corresponding preset electricity consumption threshold. If so, it is determined that the enterprise has resumed work and production without permission. Otherwise, obtain the mine electricity consumption benchmark data, and judge the actual production status of the mining enterprise based on the mine electricity consumption benchmark data and the preset mine electricity consumption threshold judgment standard.

[0018] As above, wherein the method further comprises the following steps:

[0019] The judgment results of the actual production status of the mining enterprise are stored in the database, and the judgment results are transmitted to the front-end display system to display the production status of the mining enterprise in real time.

[0020] As above, the method for judging the mine production status according to the personnel baseline data and the preset mine personnel threshold judgment standard includes the following steps:

[0021] Determine whether the personnel baseline data and mine personnel data are complete. If both are complete, calculate the mine's baseline period standard score and percentile, and judge the mine's current production status based on the preset mine personnel threshold judgment standard; if the personnel baseline data is missing, judge the mining enterprise's current production status based on the overall personnel threshold; if the mine personnel data is missing, issue a warning that the mine personnel data has not been reported in a timely manner.

[0022] As above, the calculation formula for the base period standard score of the mine is as follows:

[0023]

[0024] Among them, Z represents the standard score of the base period; X represents the number of mine personnel, It represents the mean number of personnel in the base period, and s represents the standard deviation of the number of personnel in the base period.

[0025] As above, the percentile calculation formula is as follows:

[0026]

[0027] Among them, P represents percentile, y represents satisfying y≤X,y∈B k The set of; X is the number of mine personnel, B k is the set of personnel numbers in the base period, and the symbol || represents the number of elements in the set.

[0028] As above, among others, the method for judging the current production status of a mine according to the preset mine personnel threshold judgment standard includes:

[0029] If the number of mine personnel is less than the preset minimum number of mine production personnel, the actual production status of the mining enterprise is determined to be suspended. Otherwise, continue to perform the following judgment:

[0030] If the percentile P∈(0,1), the actual production status of the mining enterprise is judged to be normal production;

[0031] If the percentile P = 0 and the standard score of the base period Z∈[-5.5, 4], the actual production status of the mining enterprise is judged to be normal production, otherwise the actual production status of the mining enterprise is judged to be reduced production;

[0032] If the percentile P = 1 and the base period standard score Z∈[-3, 4], the actual production status of the mining enterprise is judged to be normal production; otherwise, the actual production status of the mining enterprise is judged to be increased production.

[0033] As above, the method for judging the mine production status according to the mine electricity consumption benchmark data and the preset mine electricity consumption threshold judgment standard includes the following steps:

[0034] Determine whether the mine electricity consumption benchmark data is missing. If so, determine the current production status of the mine based on the overall electricity consumption threshold; otherwise, determine the current production status of the mine based on the preset mine electricity consumption threshold judgment standard.

[0035] As mentioned above, according to the preset mine power consumption threshold judgment standard, judging the current production status of the mine includes the following steps:

[0036] If the real-time electricity consumption data is less than the minimum electricity consumption of the mine production, the actual production status of the mining enterprise is determined to be a shutdown state. Otherwise, based on the electricity consumption data of the base period, the score S is calculated as real-time electricity consumption data / average electricity consumption of the base period.

[0037] The actual production status of the mining enterprise is judged according to the score S. The specific judgment method is as follows:

[0038] If S∈[0.9,1.1], the actual production status of the mining enterprise is judged to be normal production;

[0039] If S<0.9, the actual production status of the mining enterprise is judged to be reduced production;

[0040] If S>1.1, it is judged that the actual production status of the mining enterprise is increased production.

[0041] A production status supervision and monitoring system for a mining enterprise, which implements the above method, comprises:

[0042] Mine data collection device, used to collect basic data of mining enterprises, mine electricity consumption data and mine personnel data in real time;

[0043] The first judgment module is used to judge whether the mine power consumption data is missing according to the collected mine power consumption data;

[0044] The second judgment module, based on the production status data of the mining enterprise in the basic data, judges whether the enterprise's production status is suspended and the mine personnel data is greater than the preset personnel threshold. If so, it issues a judgment result that the enterprise has resumed work and production without permission. Otherwise, it obtains the personnel benchmark data of the corresponding date type in the basic data, and judges the actual production status of the mining enterprise based on the personnel benchmark data and the preset mine personnel threshold judgment standard;

[0045] The third judgment module judges whether the enterprise's production status is suspended and the mine electricity consumption data is greater than the corresponding preset electricity consumption threshold based on the production status data of the mining enterprise in the basic data. If so, it will issue a judgment result that the enterprise has resumed work and production without permission. Otherwise, it will obtain the mine electricity consumption benchmark data and judge the actual production status of the mining enterprise based on the mine electricity consumption benchmark data and the preset mine electricity consumption threshold judgment standard.

[0046] A production status supervision and monitoring system for a mining enterprise, the supervision and monitoring system comprising:

[0047] The front-end display system receives the judgment results of the actual production status of the mining enterprise and displays the actual production status of the mining enterprise in real time.

[0048] The beneficial effects achieved by this application are as follows:

[0049] (1) This application fully analyzes the characteristics of real-time underground personnel data and electricity consumption data of mining enterprises, integrates various types of production perception data of mines (for example: underground perception data), combines the law enforcement needs of mine supervision and inspection and the business characteristics of mining enterprises, and realizes a comprehensive analysis of the overall resumption of work and production of mining enterprises in multiple dimensions, analyzes scenarios such as enterprises stopping in the open and starting in secret, stopping during the day and starting at night, etc., improves the timeliness and accuracy of the judgment of the production status of mining enterprises, and realizes precise law enforcement, cross-regional law enforcement, guidance and supervision of the normal resumption of work and production of mining enterprises.

[0050] (2) When the mine personnel data is less than the preset personnel threshold, the present application uses the preset mine personnel threshold judgment standard to judge the production status of the mining enterprise; when the mine enterprise's electricity consumption data is less than the preset electricity consumption threshold, the present application uses the preset mine electricity consumption threshold judgment standard to judge the production status of the mining enterprise, thereby improving the timeliness and accuracy of the mine production status judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For those skilled in the art, other drawings can also be obtained based on these drawings.

[0052] Figure 1 This is a flow chart of a method for supervising and monitoring the production status of a mining enterprise according to an embodiment of the present application.

[0053] Figure 2 This is a flow chart of a method for judging the production status of a mining enterprise according to personnel baseline data and preset mine personnel threshold judgment criteria in an embodiment of the present application.

[0054] Figure 3 This is a flow chart of a method for judging the production status of a mining enterprise according to mine electricity consumption benchmark data and preset mine electricity consumption threshold judgment standards in an embodiment of the present application.

[0055] Figure 4 This is a flow chart of a method for obtaining the average number of personnel in the base period of an embodiment of the present application.

[0056] Figure 5 This is a structural diagram of a mining enterprise production status supervision and monitoring system according to an embodiment of the present application.

[0057] Figure 6 This is a flowchart of a method for supervising and monitoring the production status of a mining enterprise according to an embodiment of the present application.

[0058] Figure 7 This is a flow chart for collecting production data, mine electricity consumption data and mine personnel data of a mining enterprise in an embodiment of the present application.

[0059] Figure numerals: 10 - mine sensor; 20 - first judgment module; 30 - second judgment module; 40 - third judgment module; 50 - front-end display system; 100 - production status supervision and monitoring system for mining enterprises. DETAILED DESCRIPTION

[0060] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0061] Embodiment 1

[0062] like Figure 1 As shown, the present application provides a method for supervising and monitoring the production status of a mining enterprise, comprising the following sub-steps:

[0063] Step S1, collecting basic data of mining enterprises, mining electricity consumption data and mining personnel data.

[0064] Among them, the mine electricity consumption data is the actual electricity consumption data, that is, the electricity consumption data within one day.

[0065] Among them, the mine personnel data refers to the actual number of people underground in the mine at a certain moment of collection.

[0066] Specifically, Flume and Flink are used to develop programs to realize the transmission and aggregation of basic data of mining enterprises, mining electricity consumption data and mining personnel data.

[0067] Real-time processing of collected data and data warehouse design, including: the data warehouse is divided into four layers: ODS, DWD, DWS, and ADS. Elasticsearch stores ODS raw data, Doris stores DWD data details, DWS data summary, and ADS data application. Real-time data is processed and analyzed in real time through the Kafka queue using Flink.

[0068] Among them, the basic data of mining enterprises collected include mine code, mine name, production status (production, shutdown, construction, long-term shutdown, etc.), data time, etc.

[0069] Among them, the collected mine electricity consumption data includes mine code, mine name, date, user number, industrial and commercial unit name, user name, contract capacity, voltage level, voltage value, electricity consumption, data time, etc.

[0070] Among them, the collected mine (underground mine) personnel data also includes mine code, mine name, personnel card code, name, entry and exit mark, entry time, exit time, area code, entry time of current area, base station code, entry time of current base station, labor organization method, distance from base station, personnel working status, whether a leader, whether a special personnel, travel trajectory base station (in meters), etc.

[0071] like Figure 7 As shown in the figure, the collection process of basic data of mining enterprises, power consumption data of mines and personnel data of mines includes: the collection system of the directly affiliated supervision and inspection department collects basic data of mining enterprises, power consumption data of mines and personnel data of mines from various mines, and sends the collected data to the front-end machine Kafka (open source stream processing platform) of the directly affiliated supervision and inspection department. The Flume program of the front-end machine of the directly affiliated supervision and inspection department consumes Kafka data and performs format verification. After verification, the collected data is divided into two types of data, correct and incorrect, and sent to the first-level Kafka cluster of the upper-level supervision and inspection department. The correct data is processed by Flink (computing framework) and sent to the second-level Kafka cluster of the upper-level supervision and inspection department, and is consumed and stored by the MPP database. The incorrect data is consumed and stored by the time series database cluster as a resource for the subsequent data quality management system.

[0072] Step S2, judging whether the mine power consumption data is missing according to the collected mine power consumption data, if so, executing step S3, otherwise, executing step S4.

[0073] Step S3, based on the production status data of the mining enterprise in the basic data, determine whether the enterprise's production status is suspended and the mine personnel data is greater than the preset personnel threshold. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, obtain the preset personnel benchmark data of the date type corresponding to the basic data, and judge the actual production status of the mining enterprise based on the preset personnel benchmark data and the preset mine personnel threshold (mine personalized personnel threshold) judgment standard.

[0074] Among them, the preset mine personnel threshold judgment standard is a pre-set mine personalized personnel threshold judgment method.

[0075] Among them, the distribution of the number of mine personnel in different date types is quite different. The date types are divided into two types: holidays and non-holidays. Different mines have different mine personnel benchmark data sets under different date types.

[0076] Step S4, based on the production status data of the mining enterprise in the basic data, determine whether the enterprise's production status is suspended and the mine electricity consumption data is greater than the corresponding preset electricity consumption threshold. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, obtain the mine electricity consumption benchmark data, and judge the actual production status of the mining enterprise based on the mine electricity consumption benchmark data and the preset mine electricity consumption threshold (mine personalized electricity consumption threshold) judgment standard.

[0077] Specifically, if the production status of the mining enterprise is different between the preset power consumption thresholds for shutdown and normal production, the preset power consumption threshold for normal production is greater than the preset power consumption threshold for shutdown.

[0078] If the production status of a mining enterprise is suspended, determine whether the mine electricity consumption data is greater than the preset electricity consumption threshold at the time of suspension. If so, give a judgment result that the enterprise has resumed work and production without permission. Otherwise, obtain the mine electricity consumption benchmark data, and judge the mine production status based on the mine electricity consumption benchmark data and the mine's personalized electricity consumption threshold judgment standard.

[0079] The preset mine electricity consumption threshold (mine personalized electricity consumption threshold) judgment standard is a pre-set mine personalized electricity consumption threshold judgment method.

[0080] Step S5, storing the judgment result of the actual production status of the mining enterprise in the database, and transmitting the judgment result to the front-end display system to display the actual production status of the mining enterprise in real time.

[0081] like Figure 2 As shown, the method for obtaining the personnel benchmark data of the date type corresponding to the basic data, and judging the actual production status of the mining enterprise according to the personnel benchmark data and the preset mine personnel threshold (mine personalized personnel threshold) judgment standard includes the following steps:

[0082] Step S311, obtaining personnel benchmark data of the mine corresponding to the date type.

[0083] According to the number of mine personnel on different dates, the dates are divided into two types: holidays and non-holidays. Different mines have different mine personnel benchmark data sets for different date types. The personnel benchmark data is pre-stored in the database. From the database, the personnel benchmark data of the mine corresponding to the date type is obtained.

[0084] For example, the staff baseline data for non-holidays is set to 15 people.

[0085] Step S312, determine whether the personnel benchmark data and the mine personnel data are complete. If both the personnel benchmark data and the mine personnel data are complete, execute step S315. If at least one of the personnel benchmark data and the mine personnel data is incomplete, execute step S313 or step S314.

[0086] Step S313: If the personnel baseline data is missing, the current production status of the mining enterprise is determined based on the overall personnel threshold.

[0087] Specifically, as long as the personnel baseline data is missing, regardless of whether the mine personnel data is missing, the current production status of the mining enterprise will be judged based on the overall personnel threshold.

[0088] Among them, the overall threshold of personnel is pre-set.

[0089] Specifically, the methods for judging the current production status of mining enterprises based on the overall personnel threshold include:

[0090] If the collected mining personnel data is greater than the overall personnel threshold, it is judged that the mining enterprise has resumed work and production privately; otherwise, the mining enterprise has not resumed work and production privately.

[0091] Step S314: If the mine personnel data is missing, a warning is issued that the mine personnel data has not been reported in time.

[0092] Specifically, as long as there is missing data on mine personnel, regardless of whether the personnel baseline data is missing or not, a warning will be issued that the mine personnel data has not been reported in a timely manner.

[0093] Step S315, calculate the benchmark score and percentile of the mine, and then execute step S316.

[0094] Specifically, if both the personnel baseline data and the mine personnel data are complete, the mine's baseline period standard score and percentile are calculated based on the personnel baseline data and the mine personnel data.

[0095] The calculation formula for the base period standard score of a mine is as follows:

[0096]

[0097] Among them, Z represents the standard score of the base period; X represents the number of mine personnel, It represents the mean number of personnel in the base period, s represents the standard deviation of the number of personnel in the base period; the Z score uses the standard deviation as a ruler to measure the distance of a raw score from the mean.

[0098] like Figure 4 As shown in the figure, the average number of employees in the base period The method for obtaining the standard deviation of the number of personnel in the reference period is:

[0099] Step S3151, obtaining a set of the number of base period personnel within a base period of personnel.

[0100] The personnel base period is defined as a preset period of time (eg, 20 days) forward of the current date (personnel increment date), and the algorithm will continuously and dynamically update the benchmark data set to ensure accuracy.

[0101] Specifically, the number of people on each day in a period of time before the current date (a preset period of time, such as 20 days) is obtained to form a reference period personnel data set.

[0102] Specifically, the mine personnel data and date type are obtained from the database. The database is queried to obtain the personnel data of the base period corresponding to the date type of the mine. The mine personnel data corresponds to different base periods (pre-set according to different date types) and personnel data of different base periods under different date type conditions.

[0103] Step S3152, calculating the average value of all the reference period personnel numbers in the obtained reference period personnel number set to obtain the mean reference period personnel number.

[0104] The percentile calculation formula is as follows:

[0105]

[0106] Among them, P represents percentile, y represents satisfying y≤X,y∈B k The set of; X is the number of mine personnel, B k is the number of personnel in the base period, and the symbol || represents the number of elements in the set. |B k | represents set B k The number of elements.

[0107] Specifically, if all the base period personnel numbers y belonging to the base period personnel number set are less than or equal to the mine personnel number X, then P = 1; if all the base period personnel numbers y belonging to the base period personnel number set are greater than the mine personnel number X, then P = 0; if only a part of the base period personnel numbers y belonging to the base period personnel number set are less than or equal to the mine personnel number X, then P∈(0, 1).

[0108] Step S3153, calculate the standard deviation s of the number of personnel in the base period.

[0109] Specifically, the standard deviation of the base period personnel quantity is calculated based on all base period personnel quantities in the base period personnel quantity set.

[0110] Step S316, judging the current production status of the mining enterprise according to the preset mining personnel threshold (mine personalized personnel threshold) judgment standard.

[0111] Specifically, according to the production process, intelligent level, industry standards and specifications of the mine, and the composition of various types of work in the mine, 15 people are set as the minimum number of people for mine production. When the number of mine personnel is less than the minimum number of people for production, the mine is judged to be shut down. If the personnel base period for non-holidays is less than the preset time period (for example, 5 days), or the personnel base period for holidays is less than the preset time period (for example, 4 days), the minimum number of people for mine production is used to determine whether the mining enterprise is in normal production. Otherwise, the preset mine personnel threshold (mine personalized personnel threshold) judgment standard is used to determine whether the mining enterprise is in normal production.

[0112] Step S316 includes the following sub-steps:

[0113] Step S3161: if the number of mine personnel is less than the preset minimum number of mine production personnel (eg, 15 persons), the mining enterprise is determined to be shut down; otherwise, the next step of determination is continued.

[0114] Step S3162: If the percentile P∈(0, 1), the mining enterprise is judged to be in normal production, otherwise, the next step of judgment is executed.

[0115] Step S3163, if the percentile P=0, and the base period standard score Z∈[-5.5, 4], then the mining enterprise is judged to be in normal production, otherwise the mining enterprise is judged to be in reduced production.

[0116] Step S3164, if the percentile P=1, and the base period standard score Z∈[-3, 4], then the mining enterprise is judged to be in normal production, otherwise, the mining enterprise is judged to be in increased production.

[0117] like Figure 3As shown, according to the mine power consumption benchmark data and the preset mine power consumption threshold (mine personalized power consumption threshold) judgment standard, the method for judging the actual production status of the mining enterprise includes the following steps:

[0118] Step S410, determine whether the mine electricity consumption benchmark data is missing, if so, determine the current production status of the mine based on the overall electricity consumption threshold; otherwise, calculate the average electricity consumption in the benchmark period and execute step S420.

[0119] The overall power consumption threshold is the overall power consumption data of the mining enterprise pre-set in the database.

[0120] The method for calculating the average electricity consumption in the reference period is as follows: obtaining all electricity consumption data in the electricity consumption reference period from the database, calculating the average value of all the obtained electricity consumption data, and obtaining the average electricity consumption in the reference period.

[0121] The electricity consumption benchmark period is a period of time (preset period, such as 20 days) forward from the current date. The algorithm will continuously and dynamically update the benchmark data set to ensure accuracy.

[0122] If the electricity consumption benchmark period is less than the preset number of days (for example, 5 days), the mine electricity consumption benchmark data is missing, and the minimum production electricity consumption is used to determine whether the mine is producing normally. Otherwise, the preset mine electricity consumption threshold (mine personalized electricity consumption threshold) judgment standard is used to determine whether the mine is producing normally.

[0123] According to the electricity consumption level of the mining industry, 30,000 kWh is set as the minimum electricity consumption for mining production. When the electricity consumption of the mine is less than the minimum production electricity consumption, the actual status of the mining enterprise is determined to be suspension of production.

[0124] Step S420, judging the current production status of the mining enterprise according to the preset mine power consumption threshold (mine personalized power consumption threshold) judgment standard.

[0125] Specifically, step S420 includes the following sub-steps:

[0126] Step S421: If the real-time collected power consumption data is less than the minimum power consumption of the mine production, the mining enterprise is determined to be in a shutdown state, otherwise, the next step is executed.

[0127] Step S422: Based on the power consumption data of the base period, calculate the score S = real-time power consumption data / average power consumption of the base period. The real-time power consumption data is the power consumption data of the mining enterprise collected in real time.

[0128] The production status of the mining enterprise is judged according to the score S. The specific judgment method is as follows:

[0129] Step S423, if S∈[0.9,1.1], it is determined that the mining enterprise is in normal production, otherwise, the next step of judgment is executed.

[0130] Step S424: if S<0.9, it is determined that the mining enterprise is reducing production; if S>1.1, it is determined that the mining enterprise is increasing production.

[0131] As a specific embodiment of the present invention, the preset threshold is based on more than 2,000 mining data connected to the upper-level regulatory and supervisory department, including personnel data, electricity consumption data, and production status data. Expert experience is also taken into consideration and appropriate adjustments are made when expanding to other application scenarios.

[0132] like Figure 6 As shown, as a specific embodiment of the present invention, a method for supervising and monitoring the production status of a mining enterprise includes the following steps:

[0133] Step T1, obtaining mine status data;

[0134] Step T2, obtaining the mine electricity consumption increment data (or electricity consumption data);

[0135] Step T3, determine whether the incremental power consumption data (or power consumption data) is missing; if so, execute step T4; otherwise, execute step T11;

[0136] Step T4, obtaining the incremental data of mine personnel (or personnel quantity data);

[0137] Step T5: when the production status is shutdown, determine whether the acquired mine personnel quantity increment data (or personnel quantity data) is greater than the threshold value. If so, execute step T6 to obtain the personnel baseline data of the mine corresponding to the date type; if not, determine that the enterprise has resumed work and production without permission;

[0138] Step T7, determine whether the personnel incremental data and personnel baseline data are missing. If there is no data in the personnel incremental data, it is prompted that the data has not been reported in time. If there is no data in the personnel baseline data, step T8 is executed to determine whether the mine is in normal production according to the overall personnel threshold; if there is data in the personnel baseline and the personnel incremental data, step T9 is executed to calculate the standard score and percentile of the benchmark period;

[0139] Step T10, determining whether the enterprise is in normal production based on the mine's individual personnel threshold;

[0140] Step T11: If the enterprise is in shutdown state, determine whether the incremental power consumption data (or power consumption data) is greater than the threshold; if so, determine that the enterprise has resumed work and production without permission; otherwise, execute step T12;

[0141] Step T12, obtaining mining power consumption benchmark data;

[0142] Step T13, determining whether the power consumption benchmark data is missing, if so, executing step T14, otherwise, executing step T15;

[0143] Step T14, determining whether the mine is operating normally according to the overall power consumption threshold;

[0144] Step T15, calculating the base period mean;

[0145] Step T16, determining whether the enterprise is in normal production based on the mine's personalized electricity consumption threshold;

[0146] Step T17, storing the judgment result in the result table.

[0147] Embodiment 2

[0148] like Figure 5 As shown, the present application provides a production status supervision and monitoring system 100 for a mining enterprise, and the supervision and monitoring system 100 includes:

[0149] A mine data collection device 10 is used to collect basic data of mining enterprises, mine power consumption data and mine personnel data in real time;

[0150] The first judgment module 20 is used to judge whether the mine power consumption data is missing according to the collected mine power consumption data, and output the judgment result;

[0151] The second judgment module 30 judges whether the production status of the enterprise is suspended and the mine personnel data is greater than the preset personnel threshold according to the production status data of the mining enterprise in the basic data. If so, a judgment result that the enterprise has resumed work and production without permission is issued; otherwise, the personnel benchmark data of the date type corresponding to the basic data is obtained, and the actual production status of the mining enterprise is judged according to the personnel benchmark data and the preset mine personnel threshold judgment standard, and the judgment result is output;

[0152] The third judgment module 40 judges whether the production status of the enterprise is suspended and the mine electricity consumption data is greater than the corresponding preset electricity consumption threshold value based on the production status data of the mining enterprise in the basic data. If so, a judgment result that the enterprise has resumed work and production without permission is issued; otherwise, the mine electricity consumption benchmark data is obtained, and the actual production status of the mining enterprise is judged based on the mine electricity consumption benchmark data and the preset mine electricity consumption threshold judgment standard, and the judgment result is output.

[0153] like Figure 5 As shown, a production status supervision and inspection system 100 for a mining enterprise includes:

[0154] The front-end display system 50 receives the judgment results of the actual production status of the mining enterprise output by the second judgment module 30 and the third judgment module 40, and displays the actual production status of the mining enterprise in real time, thereby obtaining the actual production status information of the mining enterprise in a timely manner, which is conducive to guiding and supervising the production situation of the mining enterprise.

[0155] The beneficial effects achieved by this application are as follows:

[0156] (1) This application fully analyzes the characteristics of real-time underground personnel data and electricity consumption data of mining enterprises, integrates various types of production perception data of mines (for example: underground perception data), combines the law enforcement needs of mine supervision and inspection and the business characteristics of mining enterprises, and realizes a comprehensive analysis of the overall resumption of work and production of mining enterprises in multiple dimensions, analyzes scenarios such as enterprises stopping in the open and starting in secret, stopping during the day and starting at night, etc., improves the timeliness and accuracy of the judgment of the production status of mining enterprises, and realizes precise law enforcement, cross-regional law enforcement, guidance and supervision of the normal resumption of work and production of mining enterprises.

[0157] (2) When the mine personnel data is less than the preset personnel threshold, the present application uses the preset mine personnel threshold judgment standard to judge the production status of the mining enterprise; when the mine enterprise's electricity consumption data is less than the preset electricity consumption threshold, the present application uses the preset mine electricity consumption threshold judgment standard to judge the production status of the mining enterprise, thereby improving the timeliness and accuracy of the mine production status judgment.

[0158] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for supervising and monitoring the production status of a mining enterprise, characterized in that: The method comprises the following steps: Step S1, collecting basic data of mining enterprises, mining electricity consumption data and mining personnel data; Step S2, judging whether the mine power consumption data is missing according to the collected mine power consumption data, if so, executing step S3, otherwise, executing step S4; Step S3, according to the production status data of the mining enterprise in the basic data, determine whether the production status of the mining enterprise is suspended and the mining personnel data is greater than the preset personnel threshold. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, obtain the personnel benchmark data of the date type corresponding to the basic data, and judge the actual production status of the mining enterprise according to the personnel benchmark data and the preset mining personnel threshold judgment standard; Step S4, according to the production status data of the mining enterprise in the basic data, determine whether the production status of the mining enterprise is suspended and the mining power consumption data is greater than the corresponding preset power consumption threshold. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, obtain the mining power consumption benchmark data, and determine the actual production status of the mining enterprise according to the mining power consumption benchmark data and the preset mining power consumption threshold judgment standard; Among them, Flume and Flink are used to develop programs to realize the transmission and aggregation of basic data of mining enterprises, mine electricity consumption data and mine personnel data; Real-time processing of collected data and data warehouse design, including: the data warehouse is divided into four layers: ODS, DWD, DWS, and ADS. Elasticsearch stores ODS raw data, Doris stores DWD data details, DWS data summary, and ADS data application; real-time data is processed and analyzed in real time through Kafka queues, and Flink is used; The judgment results of the actual production status of the mining enterprise are stored in the database, and the judgment results are transmitted to the front-end display system to display the actual production status of the mining enterprise in real time; According to the personnel baseline data and the preset mine personnel threshold judgment standard, the method for judging the mine production status includes the following steps: Determine whether the personnel baseline data and mine personnel data are complete. If both are complete, calculate the mine's baseline standard score and percentile, and determine the mine's current production status based on the preset mine personnel threshold judgment standard; if the personnel baseline data is missing, determine the mine enterprise's current production status based on the overall personnel threshold; if the mine personnel data is missing, issue a warning that the mine personnel data has not been reported in a timely manner; The calculation formula for the mine's base period standard score is as follows: Among them, Z represents the standard score of the base period; X represents the number of mine personnel, represents the mean number of personnel in the base period, and s represents the standard deviation of the number of personnel in the base period; The percentile is calculated as follows: Where P represents percentile, y represents the number of personnel in the base period; X represents the number of personnel in the mine, B k is the set of the number of personnel in the base period, and the symbol || represents the number of elements in the set; According to the preset mine personnel threshold judgment standard, the method of judging the current production status of the mine includes: If the number of mine personnel is less than the preset minimum number of mine production personnel, the mining enterprise is judged to be suspended, otherwise, continue to perform the following judgment: If the percentile P∈(0,1), the mining enterprise is judged to be in normal production; If the percentile P = 0, and the standard score of the base period Z∈[-5.5, 4], the actual production status of the mining enterprise is judged to be normal production, otherwise the actual production status of the mining enterprise is judged to be reduced production; If the percentile P = 1, and the standard score of the base period Z∈[-3, 4], the actual production status of the mining enterprise is judged to be normal production, otherwise, the actual production status of the mining enterprise is judged to be increased production; According to the mine power consumption benchmark data and the preset mine power consumption threshold judgment standard, the method for judging the mine production status includes the following steps: Determine whether the mine power consumption benchmark data is missing. If so, determine the current production status of the mine based on the overall power consumption threshold; otherwise, determine the current production status of the mine based on the preset mine power consumption threshold judgment standard; According to the preset mine power consumption threshold judgment standard, judging the current production status of the mine includes the following steps: If the real-time electricity consumption data is less than the minimum electricity consumption of the mine production, the mining enterprise is judged to be in a shutdown state. Otherwise, based on the electricity consumption data of the base period, the score S is calculated as real-time electricity consumption data / average electricity consumption of the base period. The production status of the mining enterprise is judged according to the score S. The specific judgment method is as follows: If S∈[0.9,1.1], the actual production status of the mining enterprise is judged to be normal production; If S<0.9, the actual production status of the mining enterprise is judged to be reduced production; If S>1.1, it is judged that the actual production status of the mining enterprise is increased production.

2. A mining enterprise production status supervision and monitoring system, characterized in that: The method according to claim 1 is implemented, wherein the monitoring and supervision system comprises: Mine data collection device, used to collect basic data of mining enterprises, mine electricity consumption data and mine personnel data in real time; The first judgment module is used to judge whether the mine power consumption data is missing according to the collected mine power consumption data; The second judgment module judges whether the enterprise's production status is suspended and the mine personnel data is greater than the preset personnel threshold according to the production status data of the mining enterprise in the basic data. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, the personnel benchmark data of the corresponding date type in the basic data is obtained, and the actual production status of the mining enterprise is judged according to the personnel benchmark data and the preset mine personnel threshold judgment standard, and the judgment result is output; The third judgment module judges whether the enterprise's production status is suspended and the mine power consumption data is greater than the corresponding preset power consumption threshold according to the production status data of the mining enterprise in the basic data. If so, it is determined that the mining enterprise has resumed work and production without permission. Otherwise, the mine power consumption benchmark data is obtained, and the actual production status of the mining enterprise is judged according to the mine power consumption benchmark data and the preset mine power consumption threshold judgment standard, and the judgment result is output; The front-end display system receives the judgment results of the production status of the mining enterprise output by the second judgment module and the third judgment module, and displays the actual production status of the mining enterprise in real time.

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