A wireless positioning system based on data processing

Abstract

This invention belongs to the field of wireless positioning and relates to data processing technology. It addresses the problem of comprehensively analyzing factory equipment location data and equipment application data in existing data processing-based wireless positioning systems. Specifically, it is a data processing-based wireless positioning system, including a data processing platform. This platform is communicatively connected to a factory management module, a layout analysis module, an equipment positioning module, an application analysis module, and a storage module. The factory management module manages and analyzes the monitored areas of industrial plants, marking these areas as managed objects. This invention allows for the management and analysis of monitored areas within industrial plants through the factory management module. By classifying these areas according to their application types and obtaining the volume coefficients of the classified areas, several sets of area simulation data are obtained. These area simulation data can then be used to optimize the selection of marked objects.

Description

Technical Field

[0001] This invention belongs to the field of wireless positioning and relates to data processing technology, specifically a wireless positioning system based on data processing. Background Technology

[0002] Equipment layout and production scheduling have a significant impact on the production efficiency of manufacturing systems and the overall benefits of enterprises. 20% to 50% of operating costs can be attributed to layout and production scheduling schemes. Obtaining equipment distribution information through wireless positioning technology can improve equipment layout.

[0003] Existing wireless positioning systems based on data processing lack the function of comprehensively analyzing equipment location data and equipment application data in factories, which leads to a lack of rational basis for equipment layout optimization. At the same time, the method of optimizing equipment layout solely through location information simulation is not suitable for all factory buildings.

[0004] Please propose a solution to the above-mentioned technical problems. Summary of the Invention

[0005] The purpose of this invention is to provide a data processing-based wireless positioning system to solve the problem of comprehensive analysis of factory equipment location data and equipment application data in existing data processing-based wireless positioning systems;

[0006] The technical problem to be solved by this invention is: how to provide a data processing-based wireless positioning system that can comprehensively analyze factory equipment location data and equipment application data.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A wireless positioning system based on data processing includes a data processing platform, which is communicatively connected to a factory management module, a layout analysis module, an equipment positioning module, an application analysis module, and a storage module.

[0009] The factory management module performs management analysis on the supervised areas of industrial plants: it marks the supervised areas of industrial plants as management objects, marks the type data of management objects according to their uses, and obtains the volume coefficient TL of the management objects; the type data and volume coefficient TL of the management objects are sent to the application analysis module through the data processing platform.

[0010] The layout analysis module is used to perform layout management analysis on key equipment in the industrial plant supervision area. The layout analysis module includes an equipment positioning unit and a feature analysis unit.

[0011] The device positioning unit collects location information of key devices within the monitored area and sends the collected location information of the analysis points to the feature analysis unit;

[0012] The feature analysis unit analyzes the distribution characteristics of key equipment in the regulated area and obtains the feature data of the managed objects. The feature data of the managed objects is then sent to the application analysis module through the data processing platform.

[0013] The application analysis module monitors and analyzes the application status of key equipment in the industrial plant's monitored area: It establishes a management set for management objects with the same data type; based on the object's purpose, it uses corresponding application analysis methods to obtain the application coefficient YY; the maximum and minimum volume coefficients of the management objects in the management set constitute a volume range; this volume range is divided into several volume intervals; the volume coefficients of the management objects in the management set are allocated to these intervals to obtain several volume sets, which are subsets of the management set; the element with the smallest application coefficient value in each volume set is marked as the standard object of the volume set; and the feature data of the standard object is matched with the volume set.

[0014] The layout optimization module is used to perform optimization analysis and obtain selected data when laying out key equipment, and to install key equipment in the optimization area according to the position data of preset points in the selected data.

[0015] In a preferred embodiment of the present invention, the process of obtaining the volume coefficient of the managed object includes: obtaining the land area data ZD, equipment data SB, and labor data RG of the managed object; and obtaining the volume coefficient TL of the managed object by numerically calculating the land area data ZD, equipment data SB, and labor data RG of the managed object; the land area data ZD of the managed object is the total land area of ​​the managed object, the equipment coefficient SB of the managed object is the total number of automated equipment in the managed object, and the labor data RG of the managed object is the total number of staff in the managed object.

[0016] As a preferred embodiment of the present invention, the process of acquiring the location information of the analysis points includes: taking an image of the managed object at a height of L1 meters above the ground of the monitored area and marking the captured image as an analysis image; collecting the location information of key equipment in the managed object through WIFI positioning technology; marking several analysis points in the analysis image based on the collected location information; and sending the location information of all analysis points to the feature analysis unit.

[0017] In a preferred embodiment of the present invention, the process of acquiring the characteristic data of the managed object includes: marking the sum of the distance values ​​between the analysis point and the remaining analysis points as the concentration value of the analysis points; marking the analysis point with the smallest concentration value as the concentration point; connecting the concentration point with all remaining analysis points to obtain several line segments; marking the analysis point with the smallest distance value from the concentration point as the standard point; marking the distribution data of the analysis points one by one in a counterclockwise direction; the distribution data of the analysis points includes distance data and angle data; the distance data is the length value of the line segment connecting the analysis point and the concentration point; the angle data is the angle value of the angle formed by the line segment connecting the analysis point and the concentration point and the line segment connecting the standard point and the concentration point; marking the ratio of the sum of the distance data of all analysis points to the number of analysis points as density data; and marking the distribution data of the analysis points, the location data of the concentration points, and the density data as the characteristic data of the managed object.

[0018] In a preferred embodiment of the present invention, the process of obtaining selected data includes: marking the regulatory area that needs to be optimized as the optimization object; obtaining the type data and volume coefficient of the optimization object; obtaining the expected corresponding volume set through the type data and volume coefficient of the optimization object; obtaining the feature data that matches the volume set; simulating the layout of key equipment for the optimization object through the feature data and obtaining the selected data of the optimization object.

[0019] As a preferred embodiment of the present invention, the process of simulating the layout of key equipment in the optimization object includes: establishing a center point in the optimization object based on the location information of the concentration point; establishing several reference points in the optimization object according to the distribution data of the analysis points; drawing circles with the reference points as the center and r1 as the radius to obtain several reference areas; generating several sets of simulation data based on the center point and the reference areas; the generation process of simulation data includes: randomly selecting an installation point in each reference area and marking it as a preset point; the location data of all preset points constitute a set of simulation data; after the simulation data is generated, obtaining the distance value between the preset point and the center point and marking it as the installation value of the preset point; marking the ratio of the sum of the installation values ​​of all preset points to the number of installation points as the installation data of the simulation data; marking the absolute value of the difference between the installation data and the density data as the adaptation coefficient; judging the installation feasibility of the simulation data in ascending order of adaptation coefficient: if the installation feasibility of all preset points in the simulation data meets the requirements, the corresponding simulation data is marked as selected data; if there are preset points in the simulation data whose installation feasibility does not meet the requirements, the installation feasibility of the next set of simulation data is judged until the simulation data is marked as selected data.

[0020] The present invention has the following beneficial effects:

[0021] 1. The factory management module can manage and analyze the regulatory areas of industrial plants. It can classify the regulatory areas by application type and obtain the volume coefficient of the classified regulatory areas to obtain several sets of regional simulation data. Based on the regional simulation data, the target objects for optimization can be screened. The regulatory areas with the best application effect in the regulatory areas with similar uses and volumes to the optimization objects are matched with the optimization objects to improve the applicability of equipment layout methods.

[0022] 2. The layout analysis module can perform layout management and analysis on key equipment in the industrial plant supervision area, and represent the equipment layout of all supervision areas in the form of feature data. This makes it easier to determine the location of preset points when optimizing the layout in the future. The equipment layout is displayed in a data format, and the adaptation priority of equipment optimization is marked by density data. This ensures that the layout optimization effect reaches the best state on the basis of meeting the installation feasibility of equipment optimization.

[0023] 3. The application analysis module can monitor and analyze the application status of key equipment in the supervised area. By using the corresponding application analysis method to obtain the application coefficient of the managed object, the application effect of the key equipment can be analyzed. The application analysis method can be adaptively selected according to the application type, so that the equipment layout optimization can be applied to multiple industrial safety fields such as equipment monitoring and security monitoring, thereby improving the applicability of equipment layout optimization.

[0024] 4. The layout optimization module can perform optimization analysis when laying out key equipment. It simulates the layout of key equipment based on feature data, ensuring the consistency between the installation data and density data of the optimized equipment layout while meeting installation feasibility requirements. This avoids the problem of some installation points being unable to be installed due to indiscriminate copying of equipment location data based on standard objects. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a flowchart of the method in Embodiment 2 of the present invention. Detailed Implementation

[0028] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Example 1

[0030] like Figure 1 As shown, a wireless positioning system based on data processing includes a data processing platform, which is communicatively connected to a factory management module, a layout analysis module, a layout optimization module, an application analysis module, and a storage module.

[0031] The factory management module is used to manage and analyze the supervised areas of industrial plants. It marks the supervised areas of industrial plants as managed objects, and labels the type data of the managed objects according to their purpose. It obtains the land area data ZD, equipment data SB, and labor data RG for each managed object. ZD represents the total land area of ​​the managed object, SB represents the total number of automated devices within the managed object, and RG represents the total number of workers within the managed object. The volume coefficient TL of the managed object is obtained using the formula TL = α1*ZD + α2*SB + α3*RG. It should be noted that the volume coefficient is a value reflecting the scale of the managed object; the larger the volume coefficient, the greater the management scope. The larger the scale of the object, the greater the proportion of the object. α1, α2, and α3 are all proportionality coefficients, with α1 > α2 > α3 > 1. The type data and volume coefficient TL of the managed object are sent to the data processing platform. After receiving the type data and volume coefficient TL, the data processing platform sends them to the application analysis module. Management analysis is performed on the industrial plant's regulatory area. The regulatory area is classified according to its application type. The volume coefficient TL of the classified regulatory area is obtained, resulting in several sets of regional simulation data. Based on the regional simulation data, the marked objects for optimization are selected. The regulatory area with the best application effect among those with similar uses, volumes, and optimization objects is matched with the optimization object, improving the applicability of the equipment layout method.

[0032] The layout analysis module is used to perform layout management analysis on key equipment in the industrial plant's monitored area. This module includes an equipment positioning unit and a feature analysis unit. The equipment positioning unit collects location information of key equipment within the monitored area: it takes images of the managed objects at a height L1 meters above the ground and marks the captured images as analysis images; it collects the location information of key equipment within the managed objects using WIFI positioning technology; it marks several analysis points on the analysis image based on the collected location information and sends the location information of all analysis points to the feature analysis unit; the feature analysis unit analyzes the distribution characteristics of key equipment in the monitored area after receiving the analysis points: it marks the sum of the distances between the analysis point and the remaining analysis points as the setpoint value; it marks the analysis point with the smallest setpoint value as the setpoint; it connects the setpoint to all remaining analysis points to obtain several line segments; it marks the analysis point with the smallest distance to the setpoint as the standard point; and it counts the distribution of analysis points one by one in a counter-clockwise direction. According to the marking, the distribution data of the analysis points includes distance data and angle data. The distance data is the length of the line segment connecting the analysis point and the concentration point, and the angle data is the angle formed by the line segment connecting the analysis point and the concentration point and the line segment connecting the standard point and the concentration point. The ratio of the sum of the distance data of all analysis points to the number of analysis points is marked as density data. The distribution data of analysis points, the location data of concentration points, and the density data are marked as feature data of the managed objects. The feature data of the managed objects is sent to the data processing platform. After receiving the feature data, the data processing platform sends the feature data to the application analysis module. The layout management analysis of key equipment in the industrial plant supervision area is carried out. The layout of all equipment in the supervision area is represented by feature data. This facilitates the determination of the location of preset points when optimizing the layout in the future. The equipment layout is displayed in a data format. At the same time, the density data is used to mark the adaptation priority of equipment optimization. On the basis of meeting the installation feasibility of equipment optimization, the layout optimization effect is guaranteed to reach the best state.

[0033] The application analysis module is used to monitor and analyze the application status of key equipment in the industrial plant's monitored area. It establishes a management set for management objects with the same data type, and obtains the application coefficient YY of each object based on its purpose using the corresponding application analysis method. The maximum and minimum volume coefficients of the management objects in the management set constitute a volume range, which is then divided into several volume intervals. The volume coefficients of the management objects in the management set are then allocated to these intervals to obtain several volume sets, which are subsets of the management set. The element with the smallest application coefficient in each volume set is marked as the standard object of that volume set. The feature data of the standard object is matched with the volume set. The module monitors and analyzes the application status of key equipment in the monitored area, using the application coefficients of the management objects obtained through corresponding application analysis methods to analyze the application effect of the key equipment. The application analysis method can be adaptively selected according to the application type, allowing equipment layout optimization to be applied to multiple industrial safety fields such as equipment monitoring and security monitoring, thereby improving the applicability of equipment layout optimization.

[0034] It should be noted that the application coefficient YY is a numerical value reflecting the effectiveness of the application of key equipment in the managed object. The smaller the application coefficient YY, the better the application effect of the key equipment in the managed object. The method of obtaining the application coefficient YY is different in different application fields. For example, when the key equipment layout optimization is applied to the monitoring of industrial production safety, the key equipment is the monitoring sensors for various types of equipment operation. The corresponding application coefficient YY can be obtained by: obtaining the number of times equipment failures occur in the managed object and marking them as failure values; obtaining the time when a safety accident occurs in the managed object and marking it as an accident value; and calculating the application coefficient YY of the key equipment in the managed object by weighting the failure values ​​and accident values ​​accordingly. Similarly, when the key equipment layout optimization is applied to the monitoring of industrial resource security, the key equipment is various types of security monitoring equipment, and its application coefficient YY can be obtained by weighting parameters such as resource loss data.

[0035] The layout optimization module is used for optimization analysis during the layout of critical equipment: The monitored area requiring optimization analysis is marked as the optimization object; the type data and volume coefficient of the optimization object are obtained; the expected corresponding volume set is obtained through the type data and volume coefficient of the optimization object; feature data matching the volume set is obtained; and critical equipment layout simulation is performed on the optimization object using the feature data: a center point is established in the optimization object based on the location information of the concentration point; several reference points are established in the optimization object according to the distribution data of the analysis points; several reference areas are obtained by drawing circles with the reference points as the center and r1 as the radius, where r1 is a numerical constant set by the administrator; several sets of simulation data are generated based on the center point and the reference areas. The simulation data generation process includes: randomly selecting an installation point in each reference area and marking it as a preset point; the location data of all preset points constitute a set of simulation data; after the simulation data is generated, the distance value between the preset point and the center point is obtained and marked as the installation point of the preset point. The installation data of the simulation data is the sum of the installation values ​​of all preset points and the ratio of the number of installation points. The absolute value of the difference between the installation data and the density data is marked as the adaptation coefficient. The installation feasibility of the simulation data is judged in ascending order of adaptation coefficient: if the installation feasibility of all preset points in the simulation data meets the requirements, the corresponding simulation data is marked as selected data; if there are preset points in the simulation data whose installation feasibility does not meet the requirements, the installation feasibility of the next set of simulation data is judged until the simulation data is marked as selected data. The key equipment in the optimization area is installed according to the location data of the preset points in the selected data. Optimization analysis is performed when the key equipment is laid out. The key equipment layout is simulated by using feature data. On the basis of meeting the installation feasibility, the simulation overlap between the installation data of the optimized equipment layout and the density data is ensured, avoiding the problem that some installation points cannot be installed due to copying the equipment location data of the standard object.

[0036] Example 2

[0037] like Figure 2 As shown, a wireless positioning method based on data processing includes the following steps:

[0038] Step 1: Management analysis of the industrial plant's regulatory area: Mark the industrial plant's regulatory area as a management object, obtain the management object's type data and volume coefficient, and send them to the application analysis module;

[0039] Step 2: Collect location information of key equipment within the regulatory area, analyze the distribution characteristics of key equipment within the regulatory area by analyzing the location information of the analysis points, obtain the characteristic data of the managed objects, and send the characteristic data of the managed objects to the application analysis module;

[0040] Step 3: Monitor and analyze the application status of key equipment in the industrial plant supervision area and obtain the marked objects of the volume set; match the feature data of the marked objects with the volume set.

[0041] Step 4: Optimize the layout of key equipment and obtain the selected data of the optimization objects. Install the key equipment in the optimization area according to the position data of the preset points in the selected data.

[0042] A data processing-based wireless positioning system performs management analysis on a monitored area of ​​an industrial plant during operation: The monitored area is marked as a managed object; the type data and volume coefficient of the managed object are acquired and sent to an application analysis module; location information of key equipment within the monitored area is collected; the distribution characteristics of key equipment within the monitored area are analyzed using the location information of analysis points to obtain characteristic data of the managed objects, which is then sent to the application analysis module; the application status of key equipment within the monitored area of ​​the industrial plant is monitored and analyzed to obtain marked objects of a volume set; the characteristic data of the marked objects is matched with the volume set; optimization analysis is performed during the layout of key equipment to obtain selected data of optimized objects; and key equipment within the optimized area is installed according to the location data of preset points in the selected data.

[0043] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0044] The above formulas are all derived from software simulation using a large amount of data, and are selected to be close to the true values. The coefficients in the formulas are set by those skilled in the art according to the actual situation; for example, the formula TL=α1*ZD+α2*SB+α3*RG; those skilled in the art collect multiple sets of sample data and set corresponding volume coefficients for each set of sample data; substitute the set volume coefficients and the collected sample data into the formulas, and any three formulas form a system of three linear equations; the calculated coefficients are filtered and the average is taken, and the values ​​of α1, α2 and α3 are 5.47, 3.65 and 2.14 respectively;

[0045] The size of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding harmful coefficient initially set by those skilled in the art for each set of sample data. As long as it does not affect the proportional relationship between the parameter and the quantified value, it is acceptable. For example, the volume coefficient is proportional to the value of the land area data.

[0046] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0047] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A wireless positioning system based on data processing, comprising a data processing platform, characterized in that, The data processing platform is communicatively connected to a factory management module, a layout analysis module, an equipment positioning module, an application analysis module, and a storage module. The factory management module performs management analysis on the supervised areas of industrial factories: it marks the supervised areas of industrial factories as management objects, marks the type data of management objects according to their uses, and obtains the volume coefficient TL of the management objects. The type data and volume coefficient TL of the managed objects are sent to the application analysis module through the data processing platform; The process of obtaining the volume coefficient of the managed object includes: obtaining the land area data ZD, equipment data SB, and labor data RG of the managed object; and obtaining the volume coefficient TL of the managed object by numerically calculating the land area data ZD, equipment data SB, and labor data RG of the managed object. The land area data ZD of the managed object is the total land area of ​​the managed object, the equipment coefficient SB of the managed object is the total number of automated equipment in the managed object, and the labor data RG of the managed object is the total number of staff in the managed object. The layout analysis module is used to perform layout management analysis on key equipment in the industrial plant supervision area. The layout analysis module includes an equipment positioning unit and a feature analysis unit. The device positioning unit collects location information of key devices within the monitored area and sends the collected location information of the analysis points to the feature analysis unit; The feature analysis unit analyzes the distribution characteristics of key equipment in the regulated area and obtains the feature data of the managed objects. This feature data is then sent to the application analysis module via a data processing platform. The process of obtaining the feature data of the managed objects includes: marking the sum of the distance values ​​between the analysis point and the remaining analysis points as the central value of the analysis points; marking the analysis point with the smallest central value as the central point; connecting the central point to all remaining analysis points to obtain several line segments; marking the analysis point with the smallest distance value from the central point as the standard point; marking the distribution data of the analysis points one by one in a counter-clockwise direction; the distribution data of the analysis points includes distance data and angle data. The distance data is the length of the line segment connecting the analysis point and the central point, and the angle data is the angle formed by the line segment connecting the analysis point and the central point and the line segment connecting the standard point and the central point; marking the ratio of the sum of the distance data of all analysis points to the number of analysis points as density data; and marking the distribution data of the analysis points, the location data of the central points, and the density data as the feature data of the managed objects. The application analysis module monitors and analyzes the application status of key equipment in the industrial plant's monitored area: It establishes a management set for management objects with the same data type; based on the purpose of the management object, it uses corresponding application analysis methods to obtain the application coefficient of the management object. The application coefficient is a numerical value reflecting the effectiveness of the application of key equipment within the management object; the smaller the application coefficient, the better the application effect of the key equipment within the management object. The module then uses the maximum and minimum volume coefficient values ​​of the management objects in the management set to form a volume range, which is divided into several volume intervals. The volume coefficients of the management objects in the management set are then allocated to these volume intervals to obtain several volume sets, which are subsets of the management set. The element with the smallest application coefficient value in each volume set is marked as the standard object of the volume set. Finally, the feature data of the standard object is matched with the volume set. The layout optimization module is used to perform optimization analysis and obtain selected data when laying out key equipment, and to install key equipment in the optimization area according to the position data of preset points in the selected data.

2. The wireless positioning system based on data processing according to claim 1, characterized in that, The process of acquiring the location information of the analysis points includes: taking pictures of the managed object at a height of L1 meters above the ground of the monitored area and marking the pictures as analysis images; collecting the location information of key equipment in the managed object through WIFI positioning technology; marking several analysis points in the analysis image based on the collected location information; and sending the location information of all analysis points to the feature analysis unit.

3. The wireless positioning system based on data processing according to claim 1, characterized in that, The process of obtaining selected data includes: marking the regulatory area that needs to be optimized as the optimization object, obtaining the type data and volume coefficient of the optimization object, obtaining the expected corresponding volume set through the type data and volume coefficient of the optimization object, obtaining the feature data that matches the volume set, simulating the layout of key equipment for the optimization object through the feature data, and obtaining the selected data of the optimization object.

4. A wireless positioning system based on data processing according to claim 3, characterized in that, The process of simulating the layout of key equipment in the optimization object includes: establishing a center point in the optimization object based on the location information of the central point; establishing several reference points in the optimization object according to the distribution data of the analysis points; drawing circles with the reference points as the center and r1 as the radius to obtain several reference areas; generating several sets of simulation data based on the center point and the reference areas. The process of generating simulation data includes: randomly selecting an installation point in each reference area and marking it as a preset point; the location data of all preset points constitute a set of simulation data; after the simulation data is generated, obtaining the distance value between the preset point and the center point and marking it as the installation value of the preset point; marking the ratio of the sum of the installation values ​​of all preset points to the number of installation points as the installation data of the simulation data; marking the absolute value of the difference between the installation data and the density data as the adaptation coefficient; judging the installation feasibility of the simulation data in ascending order of adaptation coefficient: if the installation feasibility of all preset points in the simulation data meets the requirements, the corresponding simulation data is marked as selected data; if there are preset points in the simulation data whose installation feasibility does not meet the requirements, the installation feasibility of the next set of simulation data is judged until the simulation data is marked as selected data.

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