A power quality data processing method for dividing working conditions of coal mine tunneling equipment

Abstract

The present application belongs to the field of coal mine tunneling equipment power quality monitoring and evaluation, in order to realize the automatic correspondence of power quality data and tunneling equipment working condition, a power quality data processing method for dividing the working condition of coal mine tunneling equipment is provided, by establishing the action execution flow table of the tunneling machine; the electrical characteristic index data of the tunneling machine is collected, each electrical characteristic index is taken as the data of the first electrical characteristic sequence, and the second electrical characteristic sequence is constructed based on the sliding time window algorithm; the electrical condition is divided based on the second electrical characteristic sequence, and the first working condition sequence is obtained; the working condition sequence is shaped according to the first working condition sequence and the action execution flow table of the tunneling machine, and the second working condition sequence is obtained, the second working condition sequence is taken as the final automatic division result of the working condition, so as to correspond the power quality index data and the actual different working conditions of the tunneling equipment, which is convenient for optimizing the electrical system design of the tunneling equipment and the power quality management of underground power supply.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of coal mine tunneling equipment power quality monitoring and evaluation, in particular to a power quality data processing method for dividing the working conditions of coal mine tunneling equipment. BACKGROUND

[0002] With the advancement of intelligent construction of coal mines, more and more large-capacity coal machine equipment appears in the underground mine. These devices are equipped with a large number of electrical power components. Taking the tunneling complete equipment as an example, the electrical power of the complete equipment reaches the megawatt level. At the same time, the large-power nonlinear electrical load forms a challenge to the power quality of the underground power supply, and there are problems such as large changes in voltage deviation, frequency deviation, voltage fluctuation, and voltage harmonic distortion rate. These affect the performance and function of the tunneling equipment and the safety and stability of the underground power supply system. Therefore, it is necessary to evaluate the power quality of the power supply of the tunneling equipment.

[0003] The current power quality evaluation object is mostly for micro-grid or power distribution network system, and the recorded data mostly uses the 95% probability value selection method. This method takes into account the characteristics of high load and strong periodicity of the power grid, and is a data processing method that does not distinguish between electrical load working conditions. However, if this data processing method is used to deal with the large-power tunneling equipment in the coal mine, the rapidly changing power quality data in a period of time will be represented by a single value, ignoring the dynamic changes of the power quality indicators of each working condition, and cannot accurately reflect the power quality problems of the tunneling equipment under the key working conditions such as cutting, machine adjustment, and temporary support. The coal mine tunneling equipment belongs to non-continuous and impact electrical load, and the user is particularly concerned about the power quality of specific working conditions, so the power quality data needs to be one-to-one corresponding to the specific working conditions.

[0004] At present, there is a lack of a method for automatically corresponding the power quality data continuously detected at the load switch of the tunneling face to the working conditions of the tunneling equipment. If manpower is used to divide the working conditions, it will not only be slow, but also lead to operation errors. Therefore, a method for automatically dividing the working conditions of the power quality data of the tunneling equipment is needed to realize one-to-one corresponding analysis of the power quality data and the working conditions. SUMMARY

[0005] The present application provides a power quality data processing method for dividing the working conditions of coal mine tunneling equipment.

[0006] The present application adopts the following technical solution: a power quality data processing method for dividing the working conditions of coal mine tunneling equipment, comprising:

[0007] S1: establishing a tunneling machine action execution flow table, wherein the tunneling machine action at least includes oil pump motor action and cutting motor action;

[0008] S2: collecting electrical characteristic index data of the heading machine, the electrical characteristic index data including voltage index data and current index data, constructing a first electrical characteristic sequence according to at least one index data in the electrical characteristic index data, and constructing a second electrical characteristic sequence based on the first electrical characteristic sequence and a sliding time window algorithm;

[0009] S3: performing electrical condition division based on the second electrical characteristic sequence and preset electrical characteristic estimation bases corresponding to different working conditions, and obtaining a first condition sequence;

[0010] S4: performing condition sequence shaping according to the first condition sequence and the heading machine action execution flow table, and obtaining a second condition sequence, the second condition sequence being taken as a final automatic condition division result.

[0011] Preferably, step S1 comprises:

[0012] obtaining a heading action of the heading machine and an actual operation sequence;

[0013] determining a corresponding condition type according to the heading action, sequentially marking the corresponding condition type according to the actual operation sequence, and establishing a heading machine action execution flow table according to a marking result.

[0014] Preferably, after the corresponding condition type is sequentially marked, the method further comprises: uniformly marking a condition type corresponding to a combined action of the oil pump motor and the cutting motor when the combined action is consistent, and recombining the uniformly marked condition type to form the heading machine action execution flow table.

[0015] Preferably, in step S2, the second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and the sliding time window algorithm, comprising:

[0016] constructing a sliding time window of the first electrical characteristic sequence;

[0017] assigning the initialized second electrical characteristic sequence to the first electrical characteristic sequence;

[0018] comparing a value of the first electrical characteristic sequence at any time with values in the sliding time window, when the value of the first electrical characteristic sequence is equal to a minimum value in the sliding time window sequence, assigning a value of the second electrical characteristic sequence at the i-th time to a value in the first electrical characteristic sequence, otherwise, assigning a value of the second electrical characteristic sequence at the i-th time to a maximum value in the sliding time window sequence.

[0019] Preferably, step S3 comprises:

[0020] According to a preset judgment condition, an interval in which a value of the second electrical characteristic sequence is located is judged, a working condition corresponding to the second electrical characteristic sequence is divided according to the interval in which the value of the second electrical characteristic sequence is located and the electrical characteristic estimation basis corresponding to different working conditions, and a first working condition sequence is obtained.

[0021] Preferably, the step S4 comprises:

[0022] According to the working condition of the second working condition sequence at the i moment, the working condition at the i+1 moment in the action execution flow table of the tunneling machine is matched, and the working condition of the first working condition sequence at the i+1 moment is matched with the working condition in the action execution flow table of the tunneling machine at the i+1 moment, if there is the same working condition, the working condition of the second working condition sequence at the i+1 moment is assigned as the working condition of the first working condition sequence at the i+1 moment, if there is no same working condition, the working condition of the second working condition sequence at the i+1 moment is assigned as the working condition of the second working condition sequence at the i moment.

[0023] Compared with the prior art, the beneficial effects of the present application are:

[0024] The present application provides a kind of electrical energy quality data processing method of dividing coal mine tunneling equipment working condition, by establishing tunneling machine action execution flow table, based on the flow table, electrical energy quality index data and tunneling equipment actual different working condition are one-to-one corresponding, to better analyze the electrical energy quality problem of tunneling equipment or evaluate the pros and cons of the electrical energy quality of tunneling equipment, facilitate optimization tunneling equipment electrical system design and underground power supply electrical energy quality management. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0026] Figure 1 An algorithm flowchart of the electrical energy quality data processing method for dividing the working condition of coal mine tunneling equipment provided by the present application is shown in the figure.

[0027] Figure 2 The first working condition sequence change diagram before shaping in the embodiment of the present application is shown in the figure.

[0028] Figure 3 The second working condition sequence change diagram after shaping in the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0029] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0030] It should be noted that the structures, proportions, sizes, etc. shown in the drawings of the specification are only used to understand and read the disclosed content by those skilled in the art, and are not used to limit the conditions for implementing the present application, and therefore do not have technical significance. Any modification of the structure, change of the proportional relationship, or adjustment of the size, without affecting the effects and purposes that can be achieved by the present application, should fall within the scope of the technical content disclosed by the present application. It should be noted that in the specification, relationship terms such as first and second are only used to distinguish one entity from another entity, and do not necessarily require or imply any actual relationship or order between the entities.

[0031] The collected data of the present application is the electrical characteristics of the tunneling equipment in all working conditions within a period of time, including three-phase voltage, three-phase current electrical characteristic index data, and voltage deviation, frequency deviation, voltage fluctuation, voltage harmonic distortion rate, and other power quality index data. In the process of working condition division, the collected electrical characteristic index data is a continuous change quantity, and there may be a case where the electrical characteristics of different working conditions are consistent within a period of time, which causes the system to be unable to clearly determine the actual working condition currently in. Therefore, the present application provides a power quality data processing method for dividing the working conditions of coal mine tunneling equipment, which can correspond the collected electrical characteristics to the actual working conditions one by one, so as to obtain the power quality indexes of the tunneling equipment under each working condition, provide evaluation basis and results for the power quality of the tunneling equipment under each working condition, and facilitate the optimization of the electrical system design of the tunneling equipment and the power quality management of the underground power supply.

[0032] As shown in Figure 1 The present application provides a power quality data processing method for dividing the working conditions of coal mine tunneling equipment, which comprises:

[0033] S1: establishing a tunneling machine action execution flow table, wherein the tunneling machine action at least includes oil pump motor action and cutting motor action;

[0034] S2: collecting electrical characteristic indexes of the tunneling machine, wherein the electrical characteristic index data includes voltage index data and current index data, a first electrical characteristic sequence is constructed according to at least one index data in the electrical characteristic index data, and a second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and a sliding time window algorithm;

[0035] S3: performing electrical condition division based on the second electrical characteristic sequence and electrical characteristic estimation basis preset corresponding to different conditions, and obtaining a first condition sequence;

[0036] S4: performing condition sequence shaping according to the first condition sequence and the action execution flow table of the tunneling machine, and obtaining a second condition sequence, which is taken as a final automatic condition division result.

[0037] In the embodiment, an action execution flow table of the tunneling equipment is established. According to the actual operation sequence of the tunneling equipment on the tunneling face, the condition types are finely divided, and the possible successive conditions before and after each condition are indicated, so as to establish the correlation between each condition of the tunneling equipment.

[0038] The electrical characteristic index data of the tunneling machine is collected. In the embodiment of the present application, the current index data is taken as an example. The collected current index data is filtered by N-point maximum value of sliding time window, and the length of the sliding time window is fixed as N. The half-window length is M=(N-1) / 2, and the electrical characteristic index sequence is x i If x i is the minimum value in the time sliding window, the second electrical characteristic sequence u i =x i . Otherwise, the maximum value in the i-th sliding time window is taken to construct the second electrical characteristic sequence. The second electrical characteristic sequence in this case is: Wherein, x k is the first electrical characteristic sequence.

[0039] The automatic division of the conditions is realized on the basis of the electrical characteristic estimation of each condition based on the second electrical characteristic sequence. If u i satisfies the judgment condition of a certain condition j, y i =j is set; otherwise, the judgment conditions of other conditions are continued until the judgment conditions of all conditions are met.

[0040] The condition sequence shaping is performed on the first condition sequence based on the action execution flow table of the tunneling machine, and the second condition sequence is obtained. If the second condition sequence y i+1 of the next moment does not satisfy the front and rear action execution constraints of the action execution flow table with the second condition sequence y i of the current moment, y i+1 =y i is set; otherwise, y i+1 does not perform other operations.

[0041] The embodiment is based on the actual action execution flow of the tunneling machine, and when a large amount of electrical characteristic data and corresponding working conditions are divided, a conservative strategy of maintaining the previous state according to the working condition is adopted when the current and next working conditions are discontinuous, so that the conclusion does not deviate from the actual situation. Meanwhile, when the data is processed, the maximum value filtering method is adopted, and the difficult-to-identify data in the first electrical characteristic sequence is replaced by the maximum value in the sliding time window, thereby increasing the range of working condition division.

[0042] Optionally, step S1 comprises: obtaining the tunneling action and the actual operation sequence of the tunneling machine; determining the corresponding working condition type according to the tunneling action, and sequentially marking the corresponding working condition type according to the actual operation sequence; and establishing the tunneling machine action execution flow table according to the marking result.

[0043] Optionally, after the corresponding working condition type is sequentially marked, it further comprises: unifying the working condition types corresponding to the combined actions of the oil pump motor and the cutting motor when the combined actions are consistent, and recombining the unified working condition types to form the tunneling machine action execution flow table.

[0044] Optionally, the second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and the sliding time window algorithm in step S2, comprising: constructing a sliding time window of the first electrical characteristic sequence; assigning the initialized second electrical characteristic sequence to the first electrical characteristic sequence; comparing the value of the first electrical characteristic sequence at any time with the values in the sliding time window, and when the value of the first electrical characteristic sequence is equal to the minimum value in the sliding time window sequence, assigning the value of the second electrical characteristic sequence at the i time to the value in the first electrical characteristic sequence, otherwise, assigning the value of the second electrical characteristic sequence at the i time to the maximum value in the sliding time window sequence.

[0045] Optionally, step S3 comprises: judging the interval where the value of the second electrical characteristic sequence is located according to a preset judgment condition, and dividing the working condition corresponding to the second electrical characteristic sequence according to the interval where the value of the second electrical characteristic sequence is located and the electrical characteristic estimation basis corresponding to different working conditions, to obtain the first working condition sequence.

[0046] Optionally, step S4 comprises: matching the working condition of the i+1 time in the tunneling machine action execution flow table according to the working condition of the second working condition sequence at the i time, and matching the working condition of the first working condition sequence at the i+1 time with the working condition in the tunneling machine action execution flow table at the i+1 time, if there is the same working condition, assigning the working condition of the second working condition sequence at the i+1 time to the working condition of the first working condition sequence at the i+1 time, if there is no same working condition, assigning the working condition of the second working condition sequence at the i+1 time to the working condition of the second working condition sequence at the i time.

[0047] In this embodiment, the coal mine tunneling machine belongs to discontinuous and impact large capacity load, and the high power device is taken as an example of oil pump motor and cutting motor. The automatic division of any working condition can be realized by collecting three-phase voltage and three-phase current and establishing the action execution flow table of the tunneling machine.

[0048] Firstly, the action execution flow table of the tunneling machine is established according to the tunneling action and the actual operation sequence. The complete action execution flow of the tunneling working face equipment can be composed of the oil pump motor action and the cutting motor action, as shown in Table 1, wherein the Roman numerals such as I, II, etc. are both the working condition representation and the action sequence.

[0049] Table 1

[0050]

[0051] Among them, VII and V are the oil pump motor no-load and the cutting motor no-load, VIII and III are the oil pump motor no-load and the cutting motor stop, IX and I are the oil pump motor stop and the cutting motor stop. Therefore, the working conditions of the tunneling machine can be combined into six kinds: I (oil pump motor stop, cutting motor stop), II (oil pump motor start, cutting motor stop), III (oil pump motor no-load, cutting motor stop), IV (oil pump motor no-load, cutting motor start), V (oil pump motor no-load, cutting motor no-load), VI (oil pump motor no-load, cutting motor cutting).

[0052] The electrical characteristic index sequence x i is composed of the collected electrical characteristic index data of the tunneling machine, and the sliding time window is used for 3-point maximum value filtering, wherein i=1, …, T represents the electrical characteristic data collection time.

[0053] In this embodiment, the sliding time window is constructed as [x i-1 ,x i ,x i+1 ], if i=1, then the sliding time window is [-1000, x1, x2]; if i=T, then the sliding time window is [x T-2 ,x T-1 ,-1000]. The second electrical characteristic sequence is initialized, and the initialized second electrical characteristic sequence is judged according to the sliding time window. If x i is the minimum value of the sliding time window [x i-1 ,x i ,x i+1 ], then u i =x i ; otherwise, u i =max([x i-1 ,x i ,x i+1 ]).

[0054] In this embodiment, the second electrical characteristic sequence u i Based on the electrical characteristic estimation corresponding to different working conditions of the tunneling machine, the second electrical characteristic sequence is judged according to the judgment conditions corresponding to the six working condition combinations of the tunneling machine. In actual work, taking current index data as an example, the actual working condition of the tunneling equipment and the current characteristics under the actual corresponding working condition are compared to obtain the electrical characteristic estimation basis and the distribution interval of the corresponding working condition. The distribution interval is judged according to the distribution interval, and the judgment conditions are as follows:

[0055] 1) If u i <10, it belongs to working condition I, that is, y i =1;

[0056] 2) If u i ≥10 and u i <60, it belongs to working condition III, that is, y i =3;

[0057] 3) If u i ≥90 and u i <110, it belongs to working condition V, that is, y i =5;

[0058] 4) If u i ≥110 and u i <300, it belongs to working condition VI, that is, y i =6;

[0059] 5) If u i ≥300 and u i <450, it belongs to working condition II, that is, y i =2;

[0060] 6) If ui≥600, it belongs to working condition IV, that is, yi=4;

[0061] According to the above judgment conditions, the second electrical characteristic sequence is judged, and the first working condition sequence y i is obtained according to the combination of the judgment results.

[0062] In this embodiment, the first working condition sequence is shaped according to the tunneling machine action execution flow table, and the shaping rules are as follows:

[0063] 1) When the working condition is I, the next working condition is working condition I or working condition II. That is, when y i =1, y i+1 =1 or 2; otherwise y i =1;

[0064] 2) When the working condition is II, the next working condition is working condition II or working condition III. That is, when y i = 2, y i+1 = 2 or 3; otherwise y i = 2;

[0065] 3) When the working condition is III, the next working condition is working condition III or working condition IV or working condition I. That is, when y i = 3, y i+1 = 3 or 4 or 1; otherwise y i = 3;

[0066] 4) When the working condition is IV, the next working condition is working condition IV or working condition V. That is, when y i = 4, y i+1 = 4 or 5; otherwise y i = 4;

[0067] 5) When the working condition is V, the next working condition is working condition V or working condition VI or working condition III. That is, when y i = 5, y i+1 = 5 or 6 or 3; otherwise y i = 5;

[0068] 6) When the working condition is VI, the next working condition is working condition VI or working condition V or working condition III. That is, when y i = 6, y i+1 = 6 or 5 or 3; otherwise y i = 6.

[0069] According to the above shaping rules, the first working condition sequence is shaped to obtain a second working condition sequence, and the collected electrical characteristic index data of the tunneling machine is divided according to the second working condition sequence, so as to analyze the electrical energy quality index problem of the tunneling equipment under a specific working condition or evaluate the electrical energy quality of the tunneling equipment under a specific working condition. The first working condition sequence before shaping is as shown in Figure 2 , and the second working condition sequence after shaping is as shown in Figure 3 .

[0070] According to Figure 2 , the first working condition sequence has appeared from working condition 6 to working condition 3, which is contrary to the actual situation, and after the tunneling machine action execution flow table is shaped, Figure 3 , the second working condition sequence in , the tunneling machine action execution flow table can constrain the algorithm to identify the working condition and the actual load working condition consistent with the previous and subsequent flow, and will not appear contrary to the actual situation.

[0071]

[0071] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any changes or replacements within the technical scope disclosed by the present application, which can be easily thought by those skilled in the art, should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A power quality data processing method for classifying working conditions of coal mine tunneling equipment, characterized in that, The method comprises the following steps: S1: establishing a tunneling machine action execution flow table, wherein the tunneling machine action at least comprises an oil pump motor action and a cutting motor action; S2: collecting electrical characteristic index data of the tunneling machine, wherein the electrical characteristic index data comprises voltage index data and current index data, a first electrical characteristic sequence is constructed according to at least one index data in the electrical characteristic index data, and a second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and a sliding time window algorithm; The second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and the sliding time window algorithm, which comprises: constructing a sliding time window of the first electrical characteristic sequence; assigning the initialized second electrical characteristic sequence to the first electrical characteristic sequence; comparing the value of the first electrical characteristic sequence at any r moment with the values in the sliding time window, when the value of the first electrical characteristic sequence is equal to the minimum value in the sliding time window sequence, assigning the value of the second electrical characteristic sequence at the r moment to the value in the first electrical characteristic sequence, otherwise, assigning the value of the second electrical characteristic sequence at the r moment to the maximum value in the sliding time window sequence; S3: dividing the electrical condition based on the second electrical characteristic sequence and the preset electrical characteristic estimation basis corresponding to different working conditions, and obtaining a first working condition sequence; S4: shaping the working condition sequence according to the first working condition sequence and the tunneling machine action execution flow table, and obtaining a second working condition sequence, wherein the second working condition sequence is used as the final automatic working condition division result; According to the working condition matching the tunneling machine action execution flow table at the i moment, the working condition of the first working condition sequence at the i+1 moment is matched, if there is the same working condition, the working condition of the second working condition sequence at the i+1 moment is assigned to the working condition of the first working condition sequence at the i+1 moment, if there is no same working condition, the working condition of the second working condition sequence at the i+1 moment is assigned to the working condition of the second working condition sequence at the i moment.

2. The method for processing power quality data for classifying working conditions of coal mine tunneling equipment according to claim 1, characterized in that, Step S1 comprises: obtaining the tunneling action and the actual operation sequence of the tunneling machine; determining the corresponding working condition type according to the tunneling action, sequentially marking the corresponding working condition type according to the actual operation sequence, and establishing the tunneling machine action execution flow table according to the marking result.

3. The method for processing power quality data for classifying working conditions of coal mine tunneling equipment according to claim 2, characterized in that, After sequentially marking the corresponding working condition type, the method further comprises unifying the working condition type corresponding to the consistent combination action of the oil pump motor and the cutting motor, recombining the unified working condition type, and forming the tunneling machine action execution flow table.

4. The method for processing power quality data of coal mine tunneling equipment operation condition classification according to claim 1, characterized in that, Step S3 comprises: determining the interval where the value of the second electrical characteristic sequence is located according to the preset judgment condition, dividing the working condition corresponding to the second electrical characteristic sequence according to the interval where the value of the second electrical characteristic sequence is located and the electrical characteristic estimation basis corresponding to different working conditions, and obtaining the first working condition sequence.

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