CN117780446A - Safety performance monitoring method and system for coal mine support - Google Patents
Safety performance monitoring method and system for coal mine support Download PDFInfo
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Abstract
The application provides a safety performance monitoring method and system for coal mine support, and relates to the technical field of safety monitoring, wherein the method comprises the following steps: obtaining a roadway support object and a working face support object; obtaining monitoring data of the roadway support object and monitoring data of the working face support object; acquiring the safety performance index of the roadway support object; acquiring the safety performance index of the working surface supporting object; acquiring coupling safety performance indexes; based on the coupling safety performance indexes, a supporting safety early warning signal is generated, the technical problems that in the prior art, due to the fact that coupling influence analysis on supports at different positions is lacking, further safety performance analysis is inaccurate and safety early warning is difficult to accurately perform are solved, and through the fact that independent safety performance analysis is performed on roadway supporting objects and working face supporting objects respectively, safety performance coupling analysis is performed, safety performance analysis accuracy is improved, and further safety early warning accuracy is improved.
Description
Technical Field
The application relates to the technical field of safety monitoring, in particular to a safety performance monitoring method and system for coal mine support.
Background
Most of coal mining is underground operation, mining conditions are complex and changeable, unsafe factors are more, such as collapse of surrounding rocks, so that when coal mining is performed, operation safety is guaranteed by arranging supports, brackets and the like on the top and around. However, the support is subject to pressure of surrounding rock, so that the phenomena such as inclination and the like can occur, and the safety performance of the support is reduced, so that the real-time safety performance monitoring of the support is of great significance to the safety of coal mine operation. In the prior art, safety performance analysis is mostly carried out on a single supporting structure, but mutual influence can be generated between supports at different positions, so that the safety performance analysis result is inaccurate, and further, the coal mining has a large risk.
In summary, in the prior art, due to the lack of analysis of coupling influence between supports at different positions, the safety performance analysis is inaccurate, and the technical problem of difficulty in accurately carrying out safety early warning is solved.
Disclosure of Invention
The application provides a safety performance monitoring method and system for coal mine supports, which are used for solving the technical problems that in the prior art, coupling influence analysis between supports at different positions is lacking, so that the safety performance analysis is inaccurate, and safety early warning is difficult to accurately perform.
According to a first aspect of the present application, there is provided a method of monitoring safety performance for coal mine support, comprising: recognizing coal mine supports in the current area to obtain roadway support objects and working face support objects; monitoring the roadway support object and the working face support object through a support monitoring device respectively to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters; performing independent safety performance identification on the monitoring data of the roadway support object to acquire the safety performance index of the roadway support object; performing independent safety performance identification on the monitoring data of the working surface supporting object to acquire the safety performance index of the working surface supporting object; inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into a coupling safety performance identification module for coupling influence analysis, and obtaining a coupling safety performance index; and generating a support safety early warning signal based on the coupling safety performance index.
According to a second aspect of the present application there is provided a safety performance monitoring system for a coal mine support comprising: the coal mine support identification unit is used for identifying coal mine supports in the current area to obtain roadway support objects and working face support objects; the support object monitoring unit is used for respectively monitoring the roadway support object and the working face support object through a support monitoring device to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprises support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters; the first safety performance identification unit is used for carrying out independent safety performance identification on the monitoring data of the roadway support object and acquiring the safety performance index of the roadway support object; the second safety performance identification unit is used for carrying out independent safety performance identification on the monitoring data of the working surface supporting object and acquiring the safety performance index of the working surface supporting object; the coupling influence analysis unit is used for inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into the coupling safety performance identification module for coupling influence analysis, and obtaining the coupling safety performance index; and the safety early warning unit is used for generating a supporting safety early warning signal based on the coupling safety performance index.
According to one or more technical schemes adopted by the application, the beneficial effects which can be achieved are as follows:
the method comprises the steps of identifying coal mine supports in a current area to obtain roadway support objects and working face support objects, respectively monitoring the roadway support objects and the working face support objects through support monitoring devices to obtain monitoring data of the roadway support objects and monitoring data of the working face support objects, wherein the monitoring data of the support monitoring devices comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters, performing independent safety performance identification on the monitoring data of the roadway support objects to obtain safety performance indexes of the roadway support objects, performing independent safety performance identification on the monitoring data of the working face support objects to obtain safety performance indexes of the working face support objects, inputting the safety performance indexes of the roadway support objects and the safety performance indexes of the working face support objects into a coupling safety performance identification module to perform coupling influence analysis, obtaining coupling safety performance indexes, and generating support safety early warning signals based on the coupling safety performance indexes. Therefore, after independent safety performance analysis is carried out on the roadway support object and the working face support object respectively, coupling analysis of safety performance is carried out, so that the accuracy of safety performance analysis is improved, and the technical effect of safety early warning accuracy is further improved.
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In order to more clearly illustrate the technical solutions of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which form a part hereof, illustrate embodiments of the present application and, together with the description, serve to explain the present application and not to limit the application unduly, and to enable a person skilled in the art to make and use other drawings without the benefit of the present inventive subject matter.
Fig. 1 is a schematic flow chart of a method for monitoring safety performance of coal mine support according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a safety performance monitoring system for coal mine support according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a coal mine support identification unit 11, a support object monitoring unit 12, a first safety performance identification unit 13, a second safety performance identification unit 14, a coupling influence analysis unit 15 and a safety early warning unit 16.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the application. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of a method for monitoring safety performance of coal mine support according to an embodiment of the present application, where the method includes:
recognizing coal mine supports in the current area to obtain roadway support objects and working face support objects;
the coal mine support is used for guaranteeing safety and stability of coal mining, and supporting supports are arranged on various structures of a mine so as to control surrounding rocks and reduce roof fall accidents. The roadway support object is a structure for protecting a roadway of a coal mine and preventing the roadway from collapsing, and comprises equipment structures such as wood struts and metal brackets.
The working face support object is a top plate support structure, and the roadway support object is a support structure positioned on the side face and around. The working face support object and the roadway support object may have a connection relationship, and the two may affect each other when deformed. Thereby identifying roadway support objects and work surface support objects within the current area.
Monitoring the roadway support object and the working face support object through a support monitoring device respectively to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters;
It can be understood that the support monitoring device comprises a plurality of existing sensors for detecting geometric dimensions, pressure and space conditions, wherein the geometric dimensions are parameters such as dimensions and shapes of the support, for example, deformation of a cross rod causes bending; the pressure is the pressure given by surrounding rock borne by the support, that is, the support is set up to control the surrounding rock, and excessive pressure can lead to the failure of support in payment and needs to be early-warned in time; the space state refers to the overall shape of the support, for example, the top plate is a complete support, and is formed by a plurality of struts, for example, the support itself is in a cuboid structure, one surface, for example, the upper surface is wholly sunken and deformed downwards, or the side surface is inclined, and the like, so that the support supporting force of the support is likely to be reduced. Based on this, the support monitoring device is composed of a person skilled in the art in combination with the actual selection of the corresponding sensor, such as a size sensor, a shape sensor, a pressure sensor, etc. And arranging a support monitoring device on the roadway support object and the working face support object.
The roadway support object and the working face support object are monitored through the support monitoring device respectively to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters.
Performing independent safety performance identification on the monitoring data of the roadway support object to acquire the safety performance index of the roadway support object;
in a preferred embodiment, further comprising:
collecting a historical working resistance sample of the roadway support object; establishing a risk analysis module, wherein the risk analysis module is used for carrying out risk analysis on the roadway support object according to the historical working resistance sample of the roadway support object; a first working resistance sample is initially screened from the historical working resistance samples, wherein the first working resistance sample is a resistance sample set which is larger than a preset occurrence frequency; invoking the risk analysis module to evaluate the support force adaptability of the first working resistance sample according to the monitoring data of the roadway support object to obtain a first risk index; and acquiring the safety performance index of the roadway support object according to the first risk index.
In a preferred embodiment, further comprising:
a second working resistance sample is initially screened from the historical working resistance samples, wherein the second working resistance sample is a resistance sample with the maximum resistance value; invoking the risk analysis module, and evaluating the support force adaptability of the second working resistance sample according to the monitoring data of the roadway support object to obtain a second risk index; and acquiring the safety performance index of the roadway support object according to the second risk index and the first risk index.
The monitoring data of the roadway support object is subjected to independent safety performance identification, and the safety performance index of the roadway support object is obtained, wherein the method comprises the following steps:
collecting a historical working resistance sample of the roadway support object, wherein the historical working resistance sample is the resistance of the roadway support object, which is given by surrounding rock of the roadway support object in the past time, namely the surrounding rock can apply pressure to the roadway support object, the roadway support object can block the pressure to form the resistance for blocking the surrounding rock, and the resistance is generally detected through a pressure sensor when coal mining construction is carried out, so that the pressure sensor can be used for storing records for calling. And establishing a risk analysis module, wherein the risk analysis module is used for carrying out risk analysis on the roadway support object according to the historical working resistance sample of the roadway support object, the risk analysis module is an existing machine learning model, such as a neural network model, that is, the historical working resistance sample can be understood as the resistance possibly suffered by the roadway support object during coal mining operation, and the resistance required to be resisted by the roadway support object is analyzed by the risk analysis module.
Specifically, historical roadway support object monitoring data can be called through the prior art, supporting force marking is conducted on the historical roadway support object monitoring data by a person skilled in the art, the historical roadway support object monitoring data is taken as input, output supervision adjustment is conducted on marking results, an existing neural network model is trained, a supporting force analysis layer which is trained to be converged is obtained, the supporting force analysis layer is embedded into a risk analysis module, then the risk analysis module compares supporting force output by the supporting force analysis layer with a historical working resistance sample, if the output supporting force is greater than or equal to the historical working resistance sample, a corresponding risk index is lower, it is stated that the roadway support object can bear resistance corresponding to the historical working resistance sample, otherwise, if the output supporting force is smaller than the historical working resistance sample, the difference degree between the supporting force and the historical working resistance sample can be taken as the risk index, and the larger the difference degree is, and the risk index is larger. Thus, a risk analysis module is obtained.
And (3) primarily screening a first working resistance sample from the historical working resistance samples, wherein the first working resistance sample is a resistance sample set with the frequency larger than the preset occurrence frequency, wherein the preset occurrence frequency is set by a person skilled in the art, that is, the historical working resistance sample contains resistance samples with different sizes, which are experienced by a roadway support object in the past time, and the higher the frequency of occurrence of the same resistance sample is, so that the first working resistance sample with the higher occurrence frequency is extracted, and risk analysis of frequent operation is performed.
Invoking the risk analysis module to evaluate the adaptability of the supporting force of the first working resistance sample according to the monitoring data of the roadway supporting object, specifically, analyzing the monitoring data of the roadway supporting object through the risk analysis module to obtain the current supporting force of the roadway supporting object, and comparing the supporting force with the first working resistance sample, if the supporting force is greater than all the resistance samples in the first working resistance sample, the output first risk index is higher, can be a minimum value of the risk index, and can be specifically set by a person skilled in the art, so that the risk at the moment is smaller, and the risk index is generally between 0 and 1; if the supporting force is smaller than the first working resistance sample, the degree of difference between the supporting force and the first working resistance sample can be used as a first risk index, and the larger the degree of difference is, the larger the first risk index is. Finally, according to the first risk index, the safety performance index of the roadway support object is obtained, the higher the risk index is, the lower the safety is, namely the safety performance index is inversely proportional to the first risk index, so that the safety performance index of the roadway support object is obtained, the safety performance analysis of the roadway support object is realized, support is provided for support safety early warning, and the roadway support object is ensured to cope with frequently occurring resistance.
Further, a second working resistance sample is initially screened from the historical working resistance samples, wherein the second working resistance sample is a resistance sample with the maximum resistance value. In colloquially speaking, the supporting safety performance analysis is performed on the resistance sample set with the frequency larger than the preset occurrence frequency, so that only the roadway support object is ensured to cope with the frequently occurring resistance, but if the larger resistance happens accidentally, whether the roadway support object can cope with the resistance is difficult to judge, and therefore, the second working resistance sample is called for analysis. And calling the risk analysis module, and evaluating the support force adaptability of the second working resistance sample according to the monitoring data of the roadway support object to obtain a second risk index. Specifically, the monitoring data of the roadway support object is firstly analyzed through a risk analysis module to obtain the current supporting force of the roadway support object, then the supporting force is compared with a second working resistance sample, and a second risk index is obtained by adopting the same method as that of obtaining the first risk index.
Finally, according to the second risk index and the first risk index, the safety performance index of the roadway support object is obtained, specifically, the weighted average calculation can be performed on the second risk index and the first risk index, the greater the calculation result is, the smaller the safety performance index is, so that the safety performance index of the roadway support object is obtained, meanwhile, the difference analysis can be performed on the second risk index and the first risk index, the calculation result is compensated according to the difference degree of the second risk index and the first risk index, and then the safety performance index is obtained. Therefore, the safety performance analysis accuracy of the roadway support object is improved, and the safety early warning accuracy is improved.
Performing independent safety performance identification on the monitoring data of the working surface supporting object to acquire the safety performance index of the working surface supporting object;
in a preferred embodiment, further comprising:
acquiring a historical working resistance sample of the working face support object; judging whether the working surface supporting object comprises a plurality of layers of working surfaces or not, and if the working surface supporting object is a single-layer working surface; predicting the sinking rate according to the monitoring data of the working face supporting object and the historical working resistance sample, and obtaining a sinking rate index; and acquiring the safety performance index of the working surface support object according to the sinking rate index.
In a preferred embodiment, further comprising:
if the working surface supporting object comprises a plurality of layers of working surfaces, supporting feature identification is carried out based on the layers of working surfaces, and a plurality of supporting features of the layers of working surfaces are obtained; classifying the historical working resistance samples by utilizing the supporting features to obtain a plurality of historical working resistance sample groups, wherein each historical working resistance sample group corresponds to a layer of working surface; respectively carrying out sinking rate analysis on the multi-layer working surface according to the monitoring data of the working surface supporting object and the plurality of historical working resistance sample groups to obtain a plurality of risk indexes; and fusing the multiple risk indexes to obtain the safety performance indexes of the working face support object.
The monitoring data of the working face supporting object is subjected to independent safety performance identification, and the safety performance index of the working face supporting object is obtained, wherein the method comprises the following steps:
the working face support is a top plate, the top plate can be subjected to pressure of surrounding rock at the top to generate resistance, the resistance given by the surrounding rock of the working face support object in the past time is the resistance given by the surrounding rock to the working face support object, the working face support object can block the pressure to form the resistance for blocking the surrounding rock, and the resistance detection is generally carried out through a pressure sensor when coal mining construction is carried out, so that a historical working resistance sample of the working face support object can be called through a storage record of the pressure sensor. Whether the working face supporting object comprises a plurality of layers of working faces or not is further judged, for example, a waterproof layer and a supporting layer are achieved, and the number of layers contained in the working face supporting object can be uploaded through a user side by a worker, and then judgment of the plurality of layers of working faces is conducted.
If the working surface supporting object is a single-layer working surface, i.e. only comprises a layer of working surface, such as a supporting layer, the sinking rate is predicted according to the monitoring data of the working surface supporting object and the historical working resistance sample, so as to obtain the sinking rate index, that is, the top plate moves downwards due to the resistance of the surrounding rock, if the sinking rate is too fast, the risk is higher, and the safety accident is easy to cause. Specifically, the existing machine learning model can be trained by calling the historical monitoring data, the historical working resistance recording data and the corresponding historical sinking rate of the working face support object, so that the sinking rate prediction model trained to be converged is obtained for carrying out sinking rate prediction, and the training of the machine learning model is a common technical means for a person skilled in the art without unfolding. And inputting the monitoring data of the working face support object and the historical working resistance sample into a sinking rate prediction model, and outputting the sinking rate index. And finally, acquiring the safety performance index of the working surface support object by using the sinking rate index, wherein the higher the sinking rate index is, namely the higher the sinking rate of the working surface support object is, the lower the safety performance index is, specifically, the preset sinking rate meeting the safety standard can be set by a person skilled in the art in combination with the actual situation, then the sinking rate index and the preset sinking rate are subjected to difference, the safety performance analysis is carried out based on the difference result, namely the difference result and the safety performance index are inversely proportional, the larger the difference result is, the greater the safety risk is indicated, and the lower the safety performance index is. Therefore, the safety performance index analysis of the single-layer working surface is realized, and a foundation is provided for the subsequent support safety performance coupling influence analysis.
If the working surface supporting object comprises a plurality of layers of working surfaces, supporting feature identification is carried out on the basis of the plurality of layers of working surfaces, so that a plurality of supporting features of the plurality of layers of working surfaces are obtained, that is, supporting structures of the plurality of layers of working surfaces are different, for example, supporting structures of waterproof layers are continuous steel sheet piles, supporting layers are common supporting columns and supporting frames, manual identification is carried out after the supporting structures are combined with actual determination by workers, and an identification result is used as a plurality of supporting features of the plurality of layers of working surfaces. The plurality of support characteristics are utilized to classify the historical working resistance samples, namely the support characteristics corresponding to each layer of working surface are obtained, and the existing classification method, such as a KNN algorithm, can be adopted to classify the historical working resistance samples, so that a plurality of historical working resistance sample groups are obtained, and each historical working resistance sample group corresponds to one layer of working surface.
Further, based on the same method as the above-mentioned method for obtaining the sinking rate index, the monitoring data of the working face support object is used to perform the sinking rate analysis on the multi-layer working face according to the plurality of historical working resistance sample sets, so as to obtain the sinking rate index corresponding to the multi-layer working face respectively, the larger the sinking rate index is, that is, the faster the sinking rate of the working face support object is, the higher the risk is, specifically, the preset sinking rate meeting the safety standard can be set by a person skilled in the art in combination with the actual situation, and then deviation analysis is performed on the sinking rate index corresponding to the multi-layer working face respectively and the preset sinking rate, so as to obtain the degree of increase of the sinking rate index corresponding to the multi-layer working face respectively relative to the preset sinking rate as a plurality of risk indexes.
And fusing the multiple risk indexes, namely carrying out weighted average calculation on the multiple risk indexes, wherein the higher the calculation result is, the higher the existing safety risk is, the lower the safety performance index is, namely, the safety performance index is inversely proportional to the fusion result of the multiple risk indexes, so that the safety performance index of the working surface support object is obtained, the safety performance analysis of the multi-layer working surface is realized, and the safety performance analysis precision of the working surface is improved.
Inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into a coupling safety performance identification module for coupling influence analysis, and obtaining a coupling safety performance index;
in a preferred embodiment, further comprising:
establishing a safety performance index sample of the roadway support object and a safety performance index sample of the working face support object in the same time sequence section; training a first coupling network layer according to the safety performance index sample of the roadway support object and the change relation of the safety performance index sample of the working face support object, wherein when the data error obtained by testing the first coupling network layer is smaller than a preset threshold value, the first coupling network layer is in a convergence state; and carrying out module encapsulation on the first coupling network layer to construct the coupling security performance identification module.
In a preferred embodiment, further comprising:
inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a first coupling influence degree, wherein the first coupling influence degree is the influence degree of the safety performance index of the roadway support object on the safety performance index of the working surface support object; inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a second coupling influence degree, wherein the second coupling influence degree is the influence degree of the safety performance index of the working surface support object on the safety performance index of the roadway support object; feeding back the safety performance index of the working surface supporting object according to the first coupling influence degree to obtain the safety performance index fed back by the working surface supporting object; feeding back the safety performance index of the roadway support object according to the second coupling influence degree to obtain the fed-back safety performance index of the roadway support object; and fusing the safety performance index fed back by the working face support object and the safety performance index fed back by the roadway support object, and outputting the coupling safety performance index.
The method comprises the steps of inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into a coupling safety performance identification module for coupling influence analysis, and obtaining the coupling safety performance index, namely, the roadway support object and the working face support object can influence each other, for example, the working face, namely, a top plate deforms to increase pressure on the roadway support object, so that the overall safety performance of the support is reduced, and the concrete implementation method is as follows:
firstly, the coupling safety performance identification module needs to be constructed, and a safety performance index sample of the roadway support object and a safety performance index sample of the working surface support object in the same time sequence period are established, namely the same time sequence period comprises a plurality of time nodes, and the safety performance index sample of the roadway support object and the safety performance index sample of the working surface support object corresponding to the same time node are obtained by a person skilled in the art based on the prior art through analysis of historical data.
According to the security performance index sample of the roadway support object and the change relation of the security performance index sample of the working surface support object, namely the change trend of the security performance index sample of the roadway support object and the change trend of the security performance index sample of the working surface support object are analyzed, correlation analysis is carried out on the security performance index sample of the analyzed roadway support object and the security performance index sample of the working surface support object, the mutual influence and the coupling effect between the two are known, a coupling network layer is trained, specifically, a correlation analysis method in the prior art can be adopted, the influence degree sample of the security performance index sample of the roadway support object on the security performance index sample of the working surface support object and the influence degree sample of the security performance index sample of the working surface support object on the security performance index sample of the working surface support object are analyzed, so that the first coupling network layer is trained, and the input of the first coupling network layer is the security performance index sample of the roadway support object, and the security performance index sample of the working surface support object is output as the security performance index of the roadway support object, and the security performance index of the working surface support object is influenced by the security performance index of the roadway support object. Training and testing the first coupling network layer by using the influence degree sample obtained by the analysis until the data error obtained by testing the first coupling network layer is smaller than a preset threshold value, wherein the first coupling network layer is in a convergence state, and the preset threshold value is the error rate meeting the requirement and is set by a person skilled in the art in combination with the actual setting.
And finally, the first coupling network layer is packaged in a module manner, namely, the trained first coupling network layer is packaged based on the prior art to form a reusable software module, and the existing software development tool and framework can be selected for packaging operation, so that the coupling safety performance identification module is constructed, and model support is provided for coupling influence analysis.
Further, the safety performance index of the roadway support object and the safety performance index of the working face support object are input into a coupling safety performance identification module, and a first coupling influence degree is obtained, wherein the first coupling influence degree is the influence degree of the safety performance index of the roadway support object on the safety performance index of the working face support object. And inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a second coupling influence degree, wherein the second coupling influence degree is the influence degree of the safety performance index of the working surface support object on the safety performance index of the roadway support object. The first coupling influence degree and the second coupling influence degree are both analyzed and output by the coupling safety performance identification module.
And feeding back the safety performance index of the working surface supporting object according to the first coupling influence degree, namely, compensating the safety performance index of the working surface supporting object by the first coupling influence degree, namely, multiplying the first coupling influence degree by the calculation result of the safety performance index, and performing superposition calculation on the original safety performance index to obtain the calculation result as the safety performance index fed back by the working surface supporting object. And feeding back the safety performance index of the roadway support object according to the second coupling influence degree, namely compensating the safety performance index of the roadway support object by the second coupling influence degree, namely multiplying the calculation result of the safety performance index by the second coupling influence degree, and performing superposition calculation on the original safety performance index to obtain the calculation result as the safety performance index fed back by the roadway support object.
And finally, fusing the safety performance index fed back by the working surface support object and the safety performance index fed back by the roadway support object, namely performing weighted average calculation on the two fed back safety performance indexes, and taking a calculation result as the coupling safety performance index.
Therefore, the safety performance coupling analysis of the working face supporting object and the roadway supporting object is realized, and the safety performance analysis accuracy is improved.
And generating a support safety early warning signal based on the coupling safety performance index.
And finally, judging based on the coupling safety performance index, and generating a support safety early warning signal when the coupling safety performance index is smaller than a preset safety performance index, wherein the preset safety performance index is set by a person skilled in the art in combination with reality, so that a worker is conveniently reminded of overhauling the coal mine support, and the safety of coal mining is ensured.
Based on the above analysis, the one or more technical solutions provided in the present application can achieve the following beneficial effects:
the method comprises the steps of identifying coal mine supports in a current area to obtain roadway support objects and working face support objects, respectively monitoring the roadway support objects and the working face support objects through support monitoring devices to obtain monitoring data of the roadway support objects and monitoring data of the working face support objects, wherein the monitoring data of the support monitoring devices comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters, performing independent safety performance identification on the monitoring data of the roadway support objects to obtain safety performance indexes of the roadway support objects, performing independent safety performance identification on the monitoring data of the working face support objects to obtain safety performance indexes of the working face support objects, inputting the safety performance indexes of the roadway support objects and the safety performance indexes of the working face support objects into a coupling safety performance identification module to perform coupling influence analysis, obtaining coupling safety performance indexes, and generating support safety early warning signals based on the coupling safety performance indexes. Therefore, after independent safety performance analysis is carried out on the roadway support object and the working face support object respectively, coupling analysis of safety performance is carried out, so that the accuracy of safety performance analysis is improved, and the technical effect of safety early warning accuracy is further improved.
Example two
Based on the same inventive concept as the method for monitoring the safety performance of the coal mine support in the foregoing embodiment, as shown in fig. 2, the present application further provides a system for monitoring the safety performance of the coal mine support, where the system includes:
the coal mine support identification unit 11 is used for identifying coal mine supports in the current area to obtain roadway support objects and working face support objects;
the supporting object monitoring unit 12 is configured to monitor the roadway supporting object and the working surface supporting object through a supporting monitoring device, so as to obtain monitoring data of the roadway supporting object and monitoring data of the working surface supporting object, where the monitoring data of the supporting monitoring device includes a supporting geometry monitoring parameter, a supporting pressure monitoring parameter and a space state monitoring parameter;
the first safety performance identification unit 13 is used for carrying out independent safety performance identification on the monitoring data of the roadway support object, and acquiring the safety performance index of the roadway support object;
the second safety performance recognition unit 14, where the second safety performance recognition unit 14 is configured to perform independent safety performance recognition on the monitored data of the working surface support object, and obtain a safety performance index of the working surface support object;
The coupling influence analysis unit 15 is configured to input the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module for coupling influence analysis, so as to obtain a coupling safety performance index;
the safety pre-warning unit 16, the safety pre-warning unit 16 is configured to generate a supporting safety pre-warning signal based on the coupling safety performance index.
Further, the first security performance recognition unit 13 further includes:
collecting a historical working resistance sample of the roadway support object;
establishing a risk analysis module, wherein the risk analysis module is used for carrying out risk analysis on the roadway support object according to the historical working resistance sample of the roadway support object;
a first working resistance sample is initially screened from the historical working resistance samples, wherein the first working resistance sample is a resistance sample set which is larger than a preset occurrence frequency;
invoking the risk analysis module to evaluate the support force adaptability of the first working resistance sample according to the monitoring data of the roadway support object to obtain a first risk index;
and acquiring the safety performance index of the roadway support object according to the first risk index.
Further, the first security performance recognition unit 13 further includes:
a second working resistance sample is initially screened from the historical working resistance samples, wherein the second working resistance sample is a resistance sample with the maximum resistance value;
invoking the risk analysis module, and evaluating the support force adaptability of the second working resistance sample according to the monitoring data of the roadway support object to obtain a second risk index;
and acquiring the safety performance index of the roadway support object according to the second risk index and the first risk index.
Further, the second security performance recognition unit 14 further includes:
acquiring a historical working resistance sample of the working face support object;
judging whether the working surface supporting object comprises a plurality of layers of working surfaces or not, and if the working surface supporting object is a single-layer working surface;
predicting the sinking rate according to the monitoring data of the working face supporting object and the historical working resistance sample, and obtaining a sinking rate index;
and acquiring the safety performance index of the working surface support object according to the sinking rate index.
Further, the second security performance recognition unit 14 further includes:
If the working surface supporting object comprises a plurality of layers of working surfaces, supporting feature identification is carried out based on the layers of working surfaces, and a plurality of supporting features of the layers of working surfaces are obtained;
classifying the historical working resistance samples by utilizing the supporting features to obtain a plurality of historical working resistance sample groups, wherein each historical working resistance sample group corresponds to a layer of working surface;
respectively carrying out sinking rate analysis on the multi-layer working surface according to the monitoring data of the working surface supporting object and the plurality of historical working resistance sample groups to obtain a plurality of risk indexes;
and fusing the multiple risk indexes to obtain the safety performance indexes of the working face support object.
Further, the coupling influence analysis unit 15 further includes:
establishing a safety performance index sample of the roadway support object and a safety performance index sample of the working face support object in the same time sequence section;
training a first coupling network layer according to the safety performance index sample of the roadway support object and the change relation of the safety performance index sample of the working face support object, wherein when the data error obtained by testing the first coupling network layer is smaller than a preset threshold value, the first coupling network layer is in a convergence state;
And carrying out module encapsulation on the first coupling network layer to construct the coupling security performance identification module.
Further, the coupling influence analysis unit 15 further includes:
inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a first coupling influence degree, wherein the first coupling influence degree is the influence degree of the safety performance index of the roadway support object on the safety performance index of the working surface support object;
inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a second coupling influence degree, wherein the second coupling influence degree is the influence degree of the safety performance index of the working surface support object on the safety performance index of the roadway support object;
feeding back the safety performance index of the working surface supporting object according to the first coupling influence degree to obtain the safety performance index fed back by the working surface supporting object;
feeding back the safety performance index of the roadway support object according to the second coupling influence degree to obtain the fed-back safety performance index of the roadway support object;
And fusing the safety performance index fed back by the working face support object and the safety performance index fed back by the roadway support object, and outputting the coupling safety performance index.
The specific example of the safety performance monitoring method for coal mine support in the first embodiment is also applicable to the safety performance monitoring system for coal mine support in the present embodiment, and the safety performance monitoring system for coal mine support in the present embodiment is clearly known to those skilled in the art from the foregoing detailed description of the safety performance monitoring method for coal mine support, so that the description is omitted herein for brevity.
It should be understood that the various forms of flow shown above, reordered, added, or deleted steps may be used, as long as the desired results of the presently disclosed technology are achieved, and are not limited herein.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. Those skilled in the art will appreciate that the present application is not limited to the particular embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, the scope of which is defined by the scope of the appended claims.
Claims (8)
1. The safety performance monitoring method for the coal mine support is characterized by comprising the following steps of:
recognizing coal mine supports in the current area to obtain roadway support objects and working face support objects;
monitoring the roadway support object and the working face support object through a support monitoring device respectively to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprise support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters;
performing independent safety performance identification on the monitoring data of the roadway support object to acquire the safety performance index of the roadway support object;
performing independent safety performance identification on the monitoring data of the working surface supporting object to acquire the safety performance index of the working surface supporting object;
inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into a coupling safety performance identification module for coupling influence analysis, and obtaining a coupling safety performance index;
and generating a support safety early warning signal based on the coupling safety performance index.
2. The method of claim 1, wherein performing independent security performance identification on the monitored data of the roadway support object comprises:
collecting a historical working resistance sample of the roadway support object;
establishing a risk analysis module, wherein the risk analysis module is used for carrying out risk analysis on the roadway support object according to the historical working resistance sample of the roadway support object;
a first working resistance sample is initially screened from the historical working resistance samples, wherein the first working resistance sample is a resistance sample set which is larger than a preset occurrence frequency;
invoking the risk analysis module to evaluate the support force adaptability of the first working resistance sample according to the monitoring data of the roadway support object to obtain a first risk index;
and acquiring the safety performance index of the roadway support object according to the first risk index.
3. The method of claim 2, wherein after the risk analysis module is established, the method further comprises:
a second working resistance sample is initially screened from the historical working resistance samples, wherein the second working resistance sample is a resistance sample with the maximum resistance value;
Invoking the risk analysis module, and evaluating the support force adaptability of the second working resistance sample according to the monitoring data of the roadway support object to obtain a second risk index;
and acquiring the safety performance index of the roadway support object according to the second risk index and the first risk index.
4. The method of claim 1, wherein performing independent safety performance identification on the monitored data of the worksurface support object to obtain a safety performance index of the worksurface support object comprises:
acquiring a historical working resistance sample of the working face support object;
judging whether the working surface supporting object comprises a plurality of layers of working surfaces or not, and if the working surface supporting object is a single-layer working surface;
predicting the sinking rate according to the monitoring data of the working face supporting object and the historical working resistance sample, and obtaining a sinking rate index;
and acquiring the safety performance index of the working surface support object according to the sinking rate index.
5. The method of claim 4, wherein determining whether the work surface support object comprises a multi-layer work surface, the method further comprising:
If the working surface supporting object comprises a plurality of layers of working surfaces, supporting feature identification is carried out based on the layers of working surfaces, and a plurality of supporting features of the layers of working surfaces are obtained;
classifying the historical working resistance samples by utilizing the supporting features to obtain a plurality of historical working resistance sample groups, wherein each historical working resistance sample group corresponds to a layer of working surface;
respectively carrying out sinking rate analysis on the multi-layer working surface according to the monitoring data of the working surface supporting object and the plurality of historical working resistance sample groups to obtain a plurality of risk indexes;
and fusing the multiple risk indexes to obtain the safety performance indexes of the working face support object.
6. The method of claim 1, wherein constructing the coupling security performance identification module comprises:
establishing a safety performance index sample of the roadway support object and a safety performance index sample of the working face support object in the same time sequence section;
training a first coupling network layer according to the safety performance index sample of the roadway support object and the change relation of the safety performance index sample of the working face support object, wherein when the data error obtained by testing the first coupling network layer is smaller than a preset threshold value, the first coupling network layer is in a convergence state;
And carrying out module encapsulation on the first coupling network layer to construct the coupling security performance identification module.
7. The method of claim 6, wherein inputting the safety performance index of the roadway support object and the safety performance index of the worksurface support object into a coupling safety performance recognition module for coupling impact analysis, comprising:
inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a first coupling influence degree, wherein the first coupling influence degree is the influence degree of the safety performance index of the roadway support object on the safety performance index of the working surface support object;
inputting the safety performance index of the roadway support object and the safety performance index of the working surface support object into a coupling safety performance identification module to obtain a second coupling influence degree, wherein the second coupling influence degree is the influence degree of the safety performance index of the working surface support object on the safety performance index of the roadway support object;
feeding back the safety performance index of the working surface supporting object according to the first coupling influence degree to obtain the safety performance index fed back by the working surface supporting object;
Feeding back the safety performance index of the roadway support object according to the second coupling influence degree to obtain the fed-back safety performance index of the roadway support object;
and fusing the safety performance index fed back by the working face support object and the safety performance index fed back by the roadway support object, and outputting the coupling safety performance index.
8. A safety performance monitoring system for coal mine support, the system comprising:
the coal mine support identification unit is used for identifying coal mine supports in the current area to obtain roadway support objects and working face support objects;
the support object monitoring unit is used for respectively monitoring the roadway support object and the working face support object through a support monitoring device to obtain monitoring data of the roadway support object and monitoring data of the working face support object, wherein the monitoring data of the support monitoring device comprises support geometric monitoring parameters, support pressure monitoring parameters and space state monitoring parameters;
the first safety performance identification unit is used for carrying out independent safety performance identification on the monitoring data of the roadway support object and acquiring the safety performance index of the roadway support object;
The second safety performance identification unit is used for carrying out independent safety performance identification on the monitoring data of the working surface supporting object and acquiring the safety performance index of the working surface supporting object;
the coupling influence analysis unit is used for inputting the safety performance index of the roadway support object and the safety performance index of the working face support object into the coupling safety performance identification module for coupling influence analysis, and obtaining the coupling safety performance index;
and the safety early warning unit is used for generating a supporting safety early warning signal based on the coupling safety performance index.
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