Electric energy quality data processing method for dividing working conditions of coal mine tunneling equipment

Abstract

The invention belongs to the field of electric energy quality monitoring and evaluation of coal mine tunneling equipment, and provides an electric energy quality data processing method for dividing working conditions of the coal mine tunneling equipment in order to realize automatic correspondence between electric energy quality data of a tunneling working face and the working conditions of the tunneling equipment. Collecting electrical characteristic index data of the heading machine, taking each electrical characteristic index as data of the first electrical characteristic sequence, and constructing a second electrical characteristic sequence based on a sliding time window algorithm; performing electrical working condition division based on the second electrical characteristic sequence, and obtaining a first working condition sequence; working condition sequence shaping is carried out according to the first working condition sequence and a heading machine action execution flow table, a second working condition sequence is obtained, the second working condition sequence serves as a final working condition automatic division result, and therefore electric energy quality index data correspond to different actual working conditions of heading equipment; and the electrical system design of the tunneling equipment and the electric energy quality treatment of underground power supply are convenient to optimize.

Description

Technical Field

[0001] The present invention relates to the field of power quality monitoring and evaluation of coal mine excavation equipment, and in particular to a power quality data processing method for dividing operating conditions of coal mine excavation equipment. Background Art

[0002] With the advancement of intelligent construction of coal mines, more and more large-capacity coal mining equipment has appeared underground, and these equipments have a lot of electrical power components. Taking the complete set of tunneling equipment as an example, the electrical power of the whole set of equipment reaches the megawatt level. At the same time, the high-power nonlinear electrical load poses a challenge to the power quality of underground power supply, and there are problems such as large changes in indicators such as voltage deviation, frequency deviation, voltage fluctuation, and voltage harmonic distortion rate. These affect the performance and function of tunneling equipment, as well as the safety and stability of the underground power supply system. Therefore, it is necessary to evaluate the power quality of tunneling equipment power supply.

[0003] At present, the objects of power quality assessment are mostly microgrids or distribution network systems, and the recorded data are mostly selected by the 95% probability value of the measured value. This method takes into account the characteristics of large loads and strong periodicity of the power grid, and is a data processing method that does not distinguish between power load conditions. However, if this data processing method is used to deal with high-power tunneling equipment in coal mines, the power quality data that changes rapidly over a period of time will be represented by a single value, ignoring the dynamic changes of power quality indicators in various working conditions, and cannot accurately reflect the power quality problems of tunneling equipment in various key operating conditions such as cutting, machine adjustment, and temporary support. Coal mine tunneling equipment is a non-continuous and impact power load, and users are particularly concerned about the power quality under specific working conditions, so the power quality data needs to correspond to its specific operating conditions.

[0004] At present, there is a lack of a method to automatically match the power quality data continuously detected at the load switch of the tunneling working face with the operating conditions of the tunneling equipment. If the working conditions are divided manually, it will not only be inefficient but also lead to operational errors. Therefore, it is necessary to design a method to automatically divide the working conditions of the power quality data of the tunneling equipment to achieve a one-to-one correspondence analysis between the power quality data and the working conditions. Summary of the invention

[0005] In order to solve at least one of the above technical problems existing in the prior art, the present invention provides a method for processing power quality data for dividing the operating conditions of coal mine excavation equipment.

[0006] The present invention is implemented by the following technical solution: a method for processing power quality data for dividing the working conditions of coal mine excavation equipment, comprising:

[0007] S1: Establishing a roadheader action execution flow table, wherein the roadheader action at least includes an oil pump motor action and a cutting motor action;

[0008] S2: Collecting electrical characteristic index data of the roadheader, wherein the electrical characteristic index data includes 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: dividing the electrical operating conditions based on the second electrical characteristic sequence and the electrical characteristic estimation basis preset corresponding to different operating conditions, and obtaining a first operating condition sequence;

[0010] S4: shaping the working condition sequence according to the first working condition sequence and the tunnel boring machine action execution flow chart, and obtaining a second working condition sequence, and taking the second working condition sequence as the final working condition automatic division result.

[0011] Preferably, step S1 comprises:

[0012] Obtain the tunneling action and actual operation sequence of the tunnel boring machine;

[0013] The corresponding working condition type is determined according to the tunneling action, and the corresponding working condition type is sequentially marked according to the actual operation sequence, and a tunneling machine action execution flow chart is established according to the marking results.

[0014] Preferably, after the corresponding working condition types are marked in sequence, the corresponding working condition types are also unified when the combined actions of the oil pump motor and the cutting motor are consistent, and the unified working condition types are recombined to form a tunnel boring machine action execution flow chart.

[0015] Preferably, in step S2, constructing a second electrical feature sequence based on the first electrical feature sequence and a sliding time window algorithm includes:

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

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

[0018] Compare the value of the first electrical characteristic sequence at any moment with the value 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, assign the value of the second electrical characteristic sequence at moment i to the value in the first electrical characteristic sequence; otherwise, assign the value of the second electrical characteristic sequence at that moment to the maximum value in the sliding time window sequence.

[0019] Preferably, step S3 comprises:

[0020] According to preset judgment conditions, the interval in which the value of the second electrical characteristic sequence is located is determined, and the operating conditions corresponding to the second electrical characteristic sequence are divided based on the interval in which the value of the second electrical characteristic sequence is located and the electrical characteristics corresponding to different operating conditions are estimated to obtain a first operating condition sequence.

[0021] Preferably, step S4 comprises:

[0022] The working conditions of the second working condition sequence at time i are matched with the working conditions at time i+1 in the tunnel boring machine action execution flow table, and the working conditions of the first working condition sequence at time i+1 are matched with the working conditions in the tunnel boring machine action execution flow table at time i+1. If the same working conditions exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the first working condition sequence at time i+1; if the same working conditions do not exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the second working condition sequence at time i.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The present invention provides a method for processing power quality data for dividing the operating conditions of coal mine tunneling equipment. By establishing a tunneling machine action execution flow chart, the power quality index data and the actual different working conditions of the tunneling equipment are matched one by one based on the flow chart, so as to better analyze the power quality problems of the tunneling equipment or evaluate the power quality of the tunneling equipment, which is convenient for optimizing the electrical system design of the tunneling equipment and the power quality management of the underground power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 An algorithm flow chart of a method for processing power quality data for dividing the operating conditions of coal mine excavation equipment provided by the present invention;

[0027] Figure 2 Schematic diagram of the first working condition sequence change before shaping in an embodiment of the present invention;

[0028] Figure 3 Schematic diagram of the change of the second operating condition sequence after shaping in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In conjunction with the drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0030] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so that people familiar with this technology can understand and read them. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention. It should be noted that in this specification, relational terms such as first and second are only used to distinguish one entity from several other entities, and do not necessarily require or imply any actual relationship or order between these entities.

[0031] The data collected by the present invention are the electrical characteristics of all working conditions of the tunneling equipment within a period of time, including three-phase voltage, three-phase current electrical characteristic index data and power quality index data such as voltage deviation, frequency deviation, voltage fluctuation, voltage harmonic distortion rate, etc. In the process of dividing the working conditions, the collected electrical characteristic index data is a continuously changing quantity, and there may be a situation where the electrical characteristics of different working conditions have the same characteristics within a period of time, resulting in the system being unable to clearly understand the actual working conditions currently in place. For this reason, the present invention provides a method for processing power quality data 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, thereby obtaining the power quality indicators of the tunneling equipment under various working conditions, providing an evaluation basis and results for the power quality of the tunneling equipment under various working conditions, and facilitating the optimization of the electrical system design of the tunneling equipment and the power quality management of the underground power supply.

[0032] like Figure 1 As shown, an embodiment of the present invention provides a method for processing power quality data for dividing the working conditions of coal mine excavation equipment, including:

[0033] S1: Establishing a roadheader action execution flow table, wherein the roadheader action at least includes an oil pump motor action and a cutting motor action;

[0034] S2: Collecting electrical characteristic indicators of the roadheader, wherein the electrical characteristic indicator data includes voltage indicator data and current indicator data, constructing a first electrical characteristic sequence according to at least one indicator data in the electrical characteristic indicator data, and constructing a second electrical characteristic sequence based on the first electrical characteristic sequence and a sliding time window algorithm;

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

[0036] S4: shaping the working condition sequence according to the first working condition sequence and the tunnel boring machine action execution flow chart, and obtaining a second working condition sequence, and taking the second working condition sequence as the final working condition automatic division result.

[0037] In this embodiment, an action execution flow chart of the tunneling equipment is established. According to the actual operation sequence of the specific model of the tunneling equipment at the tunneling working face, the working condition types are carefully divided, and the possible subsequent working conditions before and after each working condition are marked, in order to establish the correlation between the various working conditions of the tunneling equipment.

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

[0039] The second electrical characteristic sequence is automatically divided into working conditions based on the estimation of electrical characteristics of each working condition. i If the judgment condition of a certain working condition j is met, then the first working condition sequence y i =j; otherwise, continue with the judgment conditions of other working conditions until the judgment conditions of all working conditions are met.

[0040] The first working condition sequence is shaped based on the tunnel boring machine action execution flow chart, and the second working condition sequence is obtained. If the second working condition sequence y at the next moment i+1 and the second operating sequence y at the current moment i If the previous and next action execution constraints of the action execution flow table are not satisfied, then let y i+1 =y i Otherwise, y i+1 No other actions are performed.

[0041] This embodiment divides a large amount of electrical characteristic data and corresponding working conditions according to the actual action execution process of the tunnel boring machine. It adopts a conservative strategy of maintaining the previous state according to the working conditions when the current and subsequent working conditions are discontinuous. Therefore, it will not produce a conclusion contrary to the actual situation. At the same time, when processing the data, the maximum value filtering method is adopted to replace the data that is difficult to identify in the first electrical characteristic sequence with the maximum value in the sliding time window, thereby increasing the range of distinguishing working conditions.

[0042] Optionally, step S1 includes: obtaining the tunneling action and actual working sequence of the tunnel boring machine; determining the corresponding working condition type according to the tunneling action, and sequentially marking the corresponding working condition type according to the actual working sequence, and establishing a tunnel boring machine action execution flow chart according to the marking results.

[0043] Optionally, after the corresponding working condition types are marked in sequence, the corresponding working condition types are also unified when the combined actions of the oil pump motor and the cutting motor are consistent, and the unified working condition types are recombined to form a tunnel boring machine action execution flow chart.

[0044] Optionally, in step S2, a second electrical characteristic sequence is constructed based on the first electrical characteristic sequence and a sliding time window algorithm, including: 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 moment with the numerical value 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 moment i to the value in the first electrical characteristic sequence; otherwise, assigning the value of the second electrical characteristic sequence at that moment to the maximum value in the sliding time window sequence.

[0045] Optionally, step S3 includes: judging the interval in which the value of the second electrical characteristic sequence is located according to a preset judgment condition, dividing the operating conditions corresponding to the second electrical characteristic sequence 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 operating conditions, and obtaining a first operating condition sequence.

[0046] Optionally, step S4 includes: matching the working conditions at time i+1 in the tunnel boring machine action execution flow table according to the working conditions of the second working condition sequence at time i, and matching the working conditions of the first working condition sequence at time i+1 with the working conditions in the tunnel boring machine action execution flow table at time i+1; if the same working conditions exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the first working condition sequence at time i+1; if the same working conditions do not exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the second working condition sequence at time i.

[0047] In this embodiment, the tunneling machine of the coal mine excavation working face belongs to a non-continuous, impact large-capacity load, and its high-power device is described by taking the oil pump motor and the cutting motor as examples. By collecting its three-phase voltage and three-phase current, establishing the action execution flow chart of the tunneling machine, it can realize the automatic division of any working condition.

[0048] First, the action execution flow chart of the tunnel boring machine is established according to the tunneling action and the actual operation sequence. The complete tunneling working face equipment action execution flow can be composed of the oil pump motor action and the cutting motor action, as shown in Table 1, where the Roman numerals such as "I" and "II" represent the working conditions and reflect the order of actions.

[0049] Table 1

[0050]

[0051] Among them, VII and V are both the oil pump motor no-load and the cutting motor no-load, VIII and III are both the oil pump motor no-load and the cutting motor is stopped, and IX and I are both the oil pump motor stopped and the cutting motor is stopped. Therefore, the working conditions of the roadheader can be combined into six types: I (oil pump motor stopped, cutting motor stopped), II (oil pump motor started, cutting motor stopped), III (oil pump motor no-load, cutting motor stopped), IV (oil pump motor no-load, cutting motor started), 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 formed by the collected electrical characteristic index data of the tunnel boring machine i Perform a three-point maximum value filter of a sliding time window, where i=1,...,T, representing the electrical characteristic data collection time.

[0053] In this embodiment, the constructed sliding time window is [x i-1 ,x i ,x i+1 ], if i=1, then the sliding time window is [-1000, x 1 ,x 2 ]; if i = T, then the sliding time window is [x T-2 ,x T-1 ,-1000]. Initialize the second electrical characteristic sequence, and judge the initialized second electrical characteristic sequence according to the sliding time window. If x i is the sliding time window [x i-1 ,x i ,x i+1 ] is the minimum value, then u i =x i Otherwise, u i =max([x i-1 ,xi ,x i+1 ]).

[0054] In this embodiment, the second electrical characteristic sequence u i The electrical working conditions are divided based on the electrical characteristics estimation corresponding to different working conditions of the tunnel boring machine, and the second electrical characteristic sequence is judged according to the judgment conditions corresponding to the six situations of the tunnel boring machine working condition combination. In the actual working process, taking the current index data as an example, the current characteristics under the actual working condition of the tunnel boring equipment and the actual corresponding working condition are compared to obtain the distribution range of the electrical characteristics estimation basis and the corresponding working condition, and the judgment is made according to each distribution interval. 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 ≥10andu i <60, it belongs to working condition III, that is, y i =3;

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

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

[0059] 5) If u i ≥300andu 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] The second electrical characteristic sequence is judged according to the above judgment conditions, and the first operating condition sequence y is obtained by combining the judgment results. i .

[0062] In this embodiment, the first working condition sequence is shaped according to the roadheader action execution flow chart, 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. 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. 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. 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. i =6, y i+1 =6 or 5 or 3; otherwise y i =6.

[0069] The first working condition sequence is shaped according to the above shaping rules to obtain the second working condition sequence, and the collected electrical characteristic index data of the tunnel boring machine is divided according to the second working condition sequence, so as to specifically analyze the power quality index problem of the tunnel boring equipment under specific working conditions or evaluate the power quality of the tunnel boring equipment under specific working conditions. Figure 2 As shown, the second operating sequence after shaping is as follows Figure 3 shown.

[0070] according to Figure 2 As shown in the figure, the first working condition sequence has already appeared from working condition 6 to working condition 3 which is contrary to the actual situation. After the tunnel boring machine action execution flow chart is shaped, Figure 3 The second working condition sequence in the figure is consistent with the actual situation, indicating that the roadheader action execution flow chart can constrain the algorithm to identify the working condition and the actual load condition in a consistent manner, and there will be no situation that contradicts the actual situation.

[0071] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for processing power quality data for dividing the working conditions of coal mine excavation equipment, characterized in that: include: S1: Establishing a roadheader action execution flow table, wherein the roadheader action at least includes an oil pump motor action and a cutting motor action; S2: Collecting electrical characteristic index data of the roadheader, wherein the electrical characteristic index data includes 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; S3: dividing the electrical operating conditions based on the second electrical characteristic sequence and the electrical characteristic estimation basis preset corresponding to different operating conditions, and obtaining a first operating condition sequence; S4: shaping the working condition sequence according to the first working condition sequence and the tunnel boring machine action execution flow chart, and obtaining a second working condition sequence, and taking the second working condition sequence as the final working condition automatic division result.

2. The method for processing power quality data for dividing the working conditions of coal mine excavation equipment according to claim 1 is characterized in that: Step S1 includes: Obtain the tunneling action and actual operation sequence of the tunnel boring machine; The corresponding working condition type is determined according to the tunneling action, and the corresponding working condition type is sequentially marked according to the actual operation sequence, and a tunneling machine action execution flow chart is established according to the marking results.

3. The method for processing power quality data for dividing the working conditions of coal mine excavation equipment according to claim 2 is characterized in that: After marking the corresponding working condition types in sequence, it also includes unifying the corresponding working condition types when the combined actions of the oil pump motor and the cutting motor are consistent, and recombining the unified working condition types to form a tunnel boring machine action execution flow chart.

4. The method for processing power quality data for dividing the working conditions of coal mine excavation equipment according to claim 1 is characterized in that: In step S2, a second electrical feature sequence is constructed based on the first electrical feature sequence and a sliding time window algorithm, including: constructing a sliding time window of a first electrical characteristic sequence; Assigning the initialized second electrical characteristic sequence to the first electrical characteristic sequence; Compare the value of the first electrical characteristic sequence at any moment with the value 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, assign the value of the second electrical characteristic sequence at moment i to the value in the first electrical characteristic sequence; otherwise, assign the value of the second electrical characteristic sequence at that moment to the maximum value in the sliding time window sequence.

5. The method for processing power quality data for dividing the working conditions of coal mine excavation equipment according to claim 1 is characterized in that: Step S3 includes: According to preset judgment conditions, the interval in which the value of the second electrical characteristic sequence is located is determined, and the operating conditions corresponding to the second electrical characteristic sequence are divided based on the interval in which the value of the second electrical characteristic sequence is located and the electrical characteristics corresponding to different operating conditions are estimated to obtain a first operating condition sequence.

6. The method for processing power quality data for dividing the working conditions of coal mine excavation equipment according to claim 1 is characterized in that: Step S4 includes: The working conditions of the second working condition sequence at time i are matched with the working conditions at time i+1 in the tunnel boring machine action execution flow table, and the working conditions of the first working condition sequence at time i+1 are matched with the working conditions in the tunnel boring machine action execution flow table at time i+1. If the same working conditions exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the first working condition sequence at time i+1; if the same working conditions do not exist, the working conditions of the second working condition sequence at time i+1 are assigned to the working conditions of the second working condition sequence at time i.

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