Parameter data analysis method and device, equipment and medium

Abstract

The invention provides a parameter data analysis method and device, equipment and a medium, and relates to the technical field of data processing, the parameter data analysis method and device are applied to terminal equipment, the terminal equipment comprises a display interface, and the method comprises the steps that according to a parameter data analysis request initiated by a user in the display interface, the request type of the parameter data analysis request is determined; determining a target analysis standard according to a selection operation of a user on the data analysis standard in the display interface; obtaining to-be-analyzed data submitted by a user in the display interface; based on the request type of the parameter data analysis request and a preset analysis rule corresponding to the target analysis standard, determining an analysis result corresponding to the to-be-analyzed data; and displaying the analysis result in the display interface. According to the method and the device, the problem that whether the obtained parameter data meets the related standard requirements is difficult to accurately and efficiently judge in the prior art can be effectively solved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a parameter data analysis method, a parameter data analysis device, an electronic device, and a machine-readable storage medium. Background Art

[0002] Parameter measurement is crucial in industry, involving product quality control, equipment maintenance, energy saving and consumption reduction, safety assurance, etc. Accurate and efficient parameter measurement helps improve production efficiency, product quality and equipment reliability.

[0003] In the related art, after the parameter values ​​of some parameters (such as hardness) are measured by measuring equipment, it is necessary to manually judge whether they meet the requirements of relevant standards. If the professional ability of the on-site personnel is insufficient or the data is not fully prepared, or even when the unit of the measuring equipment is inconsistent with the requirements of the relevant standards, the on-site personnel still need to manually convert or refer to the comparison table. This manual judgment method reduces the accuracy and efficiency of the judgment. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a parameter data analysis method, a parameter data analysis device, equipment and medium to solve the problem in the prior art that it is difficult to accurately and efficiently determine whether the acquired parameter data meets the requirements of relevant standards.

[0005] In order to achieve the above-mentioned object, the first aspect of the present application provides a parameter data analysis method, which is applied to a terminal device, wherein the terminal device includes a display interface, and the method includes:

[0006] Determining a request type of the parameter data analysis request according to a parameter data analysis request initiated by a user in the display interface;

[0007] Determining a target analysis standard according to a selection operation of a data analysis standard by a user in the display interface;

[0008] Acquire the data to be analyzed submitted by the user in the display interface;

[0009] Determining an analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and a preset analysis rule corresponding to the target analysis standard;

[0010] The analysis result is displayed in the display interface.

[0011] In an embodiment of the present application, the display interface includes an analysis type selection interface, and the analysis type selection interface includes a first selection control and a second selection control;

[0012] Determining, according to a parameter data analysis request initiated by a user in the display interface, a request type of the parameter data analysis request, including:

[0013] When the user triggers the first selection control in the analysis type selection interface, determining that the request type of the parameter data analysis request is a data analysis request;

[0014] When the user triggers the second selection control in the analysis type selection interface, it is determined that the request type of the parameter data analysis request is a data conversion request.

[0015] In the embodiment of the present application, the display interface includes a standard selection interface and a data submission interface;

[0016] Determining a target analysis standard according to a user's selection operation of a data analysis standard in the display interface includes:

[0017] Determine the target analysis standard based on the user's selection operation of the data analysis standard in the standard selection interface; wherein the standard selection interface displays a data analysis standard library, and the data analysis standard library includes multiple data analysis standards;

[0018] Acquiring the data to be analyzed submitted by the user in the display interface, including:

[0019] Based on the data submission request of the user in the data submission interface, the data to be analyzed added by the user in the data collection area of ​​the data submission interface is obtained.

[0020] In an embodiment of the present application, based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard, determining the analysis result corresponding to the data to be analyzed includes:

[0021] Identifying the data to be analyzed to obtain target data to be analyzed;

[0022] Based on the request type of the parameter data analysis request, and according to preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, an analysis result corresponding to the data to be analyzed is determined.

[0023] In an embodiment of the present application, based on the request type of the parameter data analysis request, according to the preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, determining the analysis result corresponding to the data to be analyzed includes:

[0024] If the request type of the parameter data analysis request is a data analysis request, statistical analysis is performed on the target data to be analyzed according to a preset analysis strategy corresponding to the parameter to which the data to be analyzed belongs, to obtain a statistical analysis result, and data analysis is performed on the statistical analysis result according to a preset analysis rule corresponding to the target analysis standard, to obtain an analysis result corresponding to the data to be analyzed;

[0025] If the request type of the parameter data analysis request is a data conversion request, data conversion is performed on the target data to be analyzed according to the preset analysis rule corresponding to the target analysis standard to determine the analysis result corresponding to the data to be analyzed.

[0026] In the embodiment of the present application, the display interface includes a data display page, and the data display page includes a data determination control;

[0027] After identifying the data to be analyzed and obtaining the target data to be analyzed, the method further includes:

[0028] Displaying the target data to be analyzed in the data display interface and making the target data to be analyzed editable so that a user can modify the target data to be analyzed;

[0029] In response to the user's triggering operation on the data determination control in the data display page, the data currently displayed in the data display interface is determined as the target data to be analyzed, and the request type based on the parameter data analysis request is executed. According to the preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, the analysis result step corresponding to the data to be analyzed is determined.

[0030] In an embodiment of the present application, if the request type of the parameter data analysis request is a data analysis request, the method further includes:

[0031] Displaying the statistical analysis results in the display interface; and / or

[0032] Determine whether to execute an alarm operation according to the analysis result corresponding to the data to be analyzed.

[0033] A second aspect of the present application provides a parameter data analysis device, which is configured in a terminal device, the terminal device includes a display interface, and the device includes:

[0034] A request type determination module, configured to determine a request type of the parameter data analysis request according to a parameter data analysis request initiated by a user in the display interface;

[0035] An analysis standard determination module, used to determine a target analysis standard according to a user's selection operation of a data analysis standard in the display interface;

[0036] A parameter data acquisition module, used to acquire the data to be analyzed submitted by the user in the display interface;

[0037] A parameter data analysis module, used to determine the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard;

[0038] The analysis result display module is used to display the analysis result in the display interface.

[0039] A fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configures the processor to execute the parameter data analysis method described in the first aspect above.

[0040] The parameter data analysis method, device, equipment and medium provided in the present application provide data analysis type selection (i.e., selecting the request type for initiating parameter data analysis request), data analysis standard selection and data submission functions on the front-end display interface, so that users can easily submit data to be analyzed and select target analysis standards; based on the selected data analysis type, automatically analyze data according to preset analysis rules corresponding to the target analysis standard, and directly display the analysis results. Users do not need to manually analyze the acquired data to be analyzed, and can quickly determine whether the data meets the requirements of relevant standards, so as to make corresponding decisions or take measures, thereby improving the accuracy and decision-making efficiency of determining whether the data meets the requirements of relevant standards.

[0041] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:

[0043] Figure 1 The following is a schematic diagram showing a process flow of a parameter data analysis method according to an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a parameter data analysis device according to an embodiment of the present application is shown;

[0045] Figure 3 The internal structure diagram of the computer device according to the embodiment of the present application is schematically shown.

[0046] Description of Reference Numerals

[0047] A01-processor; A02-network interface; A03-internal memory; A04-display screen; A05-input device; A06-non-volatile storage medium; B01-operating system; B02-computer program. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0049] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0050] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0051] In view of the problem in the related art that it is difficult to accurately and efficiently determine whether the acquired parameter data meets the requirements of relevant standards, the present application provides a parameter data analysis method, device, equipment and medium. The parameter data analysis method, device, equipment and medium provided in the present application are described in detail through specific examples and implementation methods in conjunction with the accompanying drawings.

[0052] Figure 1 The following is a schematic diagram showing the process flow of the parameter data analysis method of the embodiment of the present application. Figure 1 As shown, in one embodiment of the present application, a parameter data analysis method is provided, which is applied to a terminal device, and the terminal device includes a display interface. The method may include the following steps.

[0053] Step 100: Determine the request type of the parameter data analysis request according to the parameter data analysis request initiated by the user in the display interface.

[0054] In an embodiment of the present application, the display interface includes an analysis type selection interface.

[0055] Specifically, the analysis type selection interface includes a first selection control and a second selection control, the first selection control is used to request data analysis of the data to determine whether the data conforms to corresponding preset analysis rules, and the second selection control is used to request data conversion of the data to obtain data conversion results.

[0056] In the embodiment of the present application, step 100 includes the following steps:

[0057] Step 110: When the user triggers the first selection control in the analysis type selection interface, it is determined that the request type of the parameter data analysis request is a data analysis request.

[0058] Step 120: When the user triggers the second selection control in the analysis type selection interface, it is determined that the request type of the parameter data analysis request is a data conversion request.

[0059] The embodiment of the present application provides a variety of data analysis type selection functions in the analysis type selection interface, and users can select and trigger corresponding controls according to actual needs, thereby achieving flexible customization and ensuring that diversified analysis services are provided to users.

[0060] Step 200: determining a target analysis standard according to a user's selection operation of a data analysis standard in the display interface.

[0061] In an embodiment of the present application, the display interface includes a standard selection interface, wherein the standard selection interface displays a data analysis standard library, and the data analysis standard library includes a plurality of data analysis standards.

[0062] In the embodiment of the present application, step 200 includes the following steps:

[0063] Step 210: determining a target analysis standard based on the user's selection operation on the data analysis standard in the standard selection interface.

[0064] The target analysis standard is one of the data analysis standards included in the data analysis standard library.

[0065] Specifically, after the user initiates a parameter data analysis request in the analysis type selection interface, the terminal device displays the standard selection interface. In the standard selection interface, each data analysis standard is presented in the form of a control, and the user triggers the corresponding control to select the target analysis standard. If the user triggers the controls corresponding to multiple data analysis standards in the standard selection interface, the data analysis standard corresponding to the control triggered last is used as the target analysis standard.

[0066] In addition, the standard selection interface also includes a jump control for controlling entry into the data submission interface. When the user triggers the jump control, the interface displayed by the terminal device jumps from the standard selection interface to the data submission interface.

[0067] Furthermore, in the embodiment of the present application, the terminal device includes a communication module, and the terminal device is connected to a background database through the communication module. The background database stores preset analysis rules corresponding to a plurality of data analysis standards.

[0068] The embodiment of the present application stores the preset analysis rules corresponding to each data analysis standard in the background database, which not only facilitates the centralized management and maintenance of each preset analysis rule, but also reduces the storage space required for the terminal device to execute the method provided by the embodiment of the present application.

[0069] Step 300: Acquire the data to be analyzed submitted by the user in the display interface.

[0070] In an embodiment of the present application, the display interface includes a data submission interface, wherein the data submission interface includes a data collection area.

[0071] In the embodiment of the present application, step 300 includes the following steps:

[0072] Step 310: based on the data submission request of the user in the data submission interface, obtaining the data to be analyzed added by the user in the data collection area of ​​the data submission interface.

[0073] Among them, in the data collection area, adding data to be analyzed includes two methods: manual input and image upload.

[0074] Specifically, for the picture uploading method, the data submission interface provides an image shooting function, through which the user can take and upload pictures, and then trigger the image recognition control in the data submission interface to enable the terminal device to recognize the uploaded picture and obtain the numerical data corresponding to the picture.

[0075] In addition, the data submission interface also includes a data submission control for controlling entry into the data display interface. When the user triggers the data submission control, the interface displayed by the terminal device jumps from the data submission interface to the data display interface.

[0076] It should be understood that in the embodiment of the present application, after receiving a parameter data analysis request initiated by the user in the display interface, the terminal device may display the standard selection interface or the data submission interface, or may display the standard selection interface and the data submission interface at the same time. In other words, the execution order between step 200 and step 300 can be interchanged. In the standard selection interface and the data submission interface, the interface displayed first includes a jump control for controlling entry into the other interface of the two, and when the user triggers the jump control, the terminal device will jump to the page.

[0077] Step 400: Determine the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard.

[0078] In the embodiment of the present application, step 400 includes the following steps:

[0079] Step 410: Identify the data to be analyzed to obtain target data to be analyzed.

[0080] The data to be analyzed is text data or image data, and the target data to be analyzed is numerical data.

[0081] Specifically, when the user chooses to manually input the data to be analyzed, the input data to be analyzed is text data, which includes one or more numerical data, and the numerical data are separated by a comma, a space or other separators; when the user chooses to upload a picture to add the data to be analyzed, the input data to be analyzed is image data. By identifying the data to be analyzed added in the data collection area, the target data to be analyzed can be obtained.

[0082] It can be understood that the number of the identified target data to be analyzed is one or more, and the number of the target data to be analyzed is specifically determined by the data to be analyzed added by the user in the data collection area.

[0083] Step 430 , based on the request type of the parameter data analysis request and according to preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, determine the analysis result corresponding to the data to be analyzed.

[0084] Specifically, step 430 includes the following steps:

[0085] Step 431, if the request type of the parameter data analysis request is a data analysis request, statistical analysis is performed on the target data to be analyzed according to the preset analysis strategy corresponding to the parameters of the data to be analyzed to obtain statistical analysis results, and data analysis is performed on the statistical analysis results according to the preset analysis rules corresponding to the target analysis standard to obtain analysis results corresponding to the data to be analyzed.

[0086] Step 432: If the request type of the parameter data analysis request is a data conversion request, data conversion is performed on the target data to be analyzed according to the preset analysis rules corresponding to the target analysis standard to determine the analysis result corresponding to the data to be analyzed.

[0087] Specifically, if the request type of the parameter data analysis request is a data analysis request, the analysis result corresponding to the data to be analyzed is normal or abnormal. If the analysis result corresponding to the data to be analyzed is normal, it indicates that the data to be analyzed complies with the preset analysis rules corresponding to the target analysis standard. Otherwise, if the analysis result corresponding to the data to be analyzed is abnormal, it indicates that the data to be analyzed does not comply with the preset analysis rules corresponding to the target analysis standard.

[0088] In order to avoid misidentification of the data to be analyzed and thus affect the accuracy of the analysis result corresponding to the data to be analyzed, optionally, in an embodiment of the present application, the display interface includes a data display page, and the data display page includes a data determination control. After step 410, the method further includes the following steps:

[0089] Step 421 : displaying the target data to be analyzed in the data display interface, and making the target data to be analyzed editable so that the user can modify the target data to be analyzed.

[0090] Step 422 , in response to the user triggering the data determination control in the data display page, the data currently displayed in the data display interface is determined as the target data to be analyzed, and step 430 is executed.

[0091] Specifically, for the target data to be analyzed displayed in the interface, if the user confirms that the identified target data to be analyzed is correct, the data confirmation control can be immediately triggered to execute the step 430, so that the terminal device analyzes the target data to be analyzed, and then obtains the analysis results corresponding to the data to be analyzed; if the user confirms that the identified target data to be analyzed is incorrect, it can be directly adjusted in the data display interface, and then the data confirmation control can be triggered to execute the step 430.

[0092] The embodiment of the present application further ensures the accuracy of the analysis result by setting an operation step of confirming whether the identified target data to be analyzed is incorrect.

[0093] Step 500: display the analysis result in the display interface.

[0094] Wherein, the display interface includes an analysis result display interface for displaying the analysis result.

[0095] Optionally, if the request type of the parameter data analysis request is a data analysis request, the step 500 further includes: displaying the statistical analysis results in the display interface; and / or determining whether to perform an alarm operation based on the analysis results corresponding to the data to be analyzed.

[0096] Specifically, when the analysis result corresponding to the data to be analyzed is normal, the alarm operation is not performed; when the analysis result corresponding to the data to be analyzed is abnormal, the alarm operation is performed.

[0097] Among them, the alarm operation can be implemented by visual alarm (such as popping up a prompt box containing abnormal information in the display interface, highlighting the final analysis result, and vibrating the terminal device), sound alarm (such as prompt sound), etc. The embodiment of the present application does not specifically limit the implementation method of executing the alarm operation.

[0098] The embodiment of the present application displays the statistical analysis results so that relevant personnel can quickly obtain key data information of this data analysis; by performing an alarm operation when the analysis results are abnormal, problem information can be quickly transmitted to relevant personnel or systems, thereby ensuring that response measures are taken in a timely manner.

[0099] In addition, when the terminal device displays the analysis results in the display interface, it can also display the preset analysis rules corresponding to the target analysis criteria, so that the user can know the conditions under which the analysis results are obtained, helping the user to understand the logic behind the data.

[0100] It should be noted that in the embodiment of the present application, the display interfaces of the terminal device can return to the previous interface by triggering the return control in the interface or other methods to enhance the user experience, improve operational flexibility, and reduce erroneous operations.

[0101] The method provided in this application is described in detail below through a specific application example.

[0102] Hardness is mainly used to evaluate the mechanical properties of metal materials. In the field of metals, hardness testing is not only related to the physical properties of materials, but also directly affects the performance and life of materials in various application environments. For example, hardness testing can promptly detect whether the metal has hardened or softened due to corrosion, fatigue and other factors, so that corresponding treatment measures can be taken to ensure the safe use of the material.

[0103] The software program developed based on the above method is published as a WeChat applet. After the user enters the WeChat applet, an analysis type selection interface is displayed. In the analysis type selection interface, two selection controls are displayed, namely hardness range query and calculation (corresponding to the first selection control) and hardness value conversion (corresponding to the second selection control).

[0104] After triggering the "Hardness Range Query and Calculation" control, enter the hardness value query calculation interface (i.e., standard selection interface). In the hardness value query calculation interface, the displayed data analysis standard library includes 12Cr1MoVG, T / P91, T / P92, T23, 20G, 15CrMoG, TP347, and TP304 data analysis standards. After triggering the control corresponding to 12Cr1MoVG, enter the data submission interface. In the data submission interface, there is a data collection area and a control named "Click to Shoot". The user triggers the control to enable the terminal device to call the camera to take pictures, and the pictures taken are displayed in the data collection area. After the user triggers the data submission control, the picture in the data collection area (i.e., the data to be analyzed) is identified to obtain the target data to be analyzed. The target data to be analyzed is displayed in the data display page. The target data to be analyzed includes 155, 162, 158, 154, and 164, and each target data to be analyzed is in an editable state. In the data display page, when the user triggers the data confirmation control, the target data to be analyzed is analyzed. The specific analysis process is as follows.

[0105] According to the preset analysis strategy corresponding to the hardness, the target data to be analyzed is statistically analyzed to obtain the statistical analysis results, which include the maximum value, minimum value, average value, and the difference between the maximum value and the minimum value in the target data to be analyzed. According to the preset analysis rules corresponding to the target analysis standard, the statistical analysis results are analyzed to obtain the analysis results. The specific operation is to determine whether the maximum value and the minimum value in the statistical analysis results are both within the normal hardness range corresponding to the target analysis standard, and whether the difference between the maximum value and the minimum value is less than or equal to the preset difference threshold (the value can be 10). If both are satisfied, the analysis result is determined to be normal, otherwise it is abnormal.

[0106] When the target data to be analyzed include 155, 162, 158, 154 and 164, the preset difference threshold is 10, and the normal hardness range corresponding to 12Cr1MoVG is 135-195HB, the analysis result display interface displays the relevant words indicating that the data is normal, the maximum value 164, the minimum value 154, the difference between the maximum and minimum values ​​10, the average value 158, and the normal hardness range corresponding to 12Cr1MoVG 135-195HB. Of course, if there is data that is not in the normal hardness range corresponding to 12Cr1MoVG among the maximum and minimum values, the analysis result display interface, in addition to displaying the relevant words indicating that the data is abnormal, also highlights the maximum value and / or minimum value that is not in the normal hardness range corresponding to 12Cr1MoVG to indicate that the data is abnormal.

[0107] After triggering the "hardness value conversion" control, enter the hardness value conversion selection interface (i.e., standard selection interface). In the hardness value conversion selection interface, the displayed data analysis standard library includes the data analysis standards of Leeb to Vickers, Leeb to Brinell, Leeb to Rockwell, and Brinell to Rockwell. After triggering the control corresponding to Leeb to Vickers, enter the data submission interface. In the data submission interface, a data collection area is displayed, and the user enters a value of 300 (i.e., the data to be analyzed) in the data collection area. After the user triggers the data submission control, the data in the data collection area is identified to obtain the target data to be analyzed, which is displayed in the data display page. The target data to be analyzed is 300, and the target data to be analyzed is in an editable state. In the data display page, when the user triggers the data confirmation control, the target data to be analyzed is analyzed, that is, according to the preset analysis rules corresponding to Leeb to Vickers, the linear interpolation method is used to convert the target data to be analyzed, and the data conversion result, i.e., the analysis result, is 83HV. Finally, the analysis result is displayed through the analysis result display interface.

[0108] It can be seen that the parameter data analysis method provided in the embodiment of the present application enables the user to quickly determine whether the data meets the relevant standard requirements without manually analyzing the acquired data to be analyzed, thereby making corresponding decisions or taking measures, thereby improving the accuracy of determining whether the data meets the relevant standard requirements and the decision-making efficiency.

[0109] Figure 1 FIG. 1 is a flow chart of a parameter data analysis method in one embodiment. It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0110] Figure 2 The structure block diagram of the parameter data analysis device of the embodiment of the present application is schematically shown. Figure 2 As shown, in one embodiment of the present application, a parameter data analysis device is provided, which is configured in a terminal device, and the terminal device includes a display interface. The parameter data analysis device may include the following functional modules.

[0111] The request type determination module is used to determine the request type of the parameter data analysis request according to the parameter data analysis request initiated by the user in the display interface.

[0112] The analysis standard determination module is used to determine the target analysis standard according to the user's selection operation on the data analysis standard in the display interface.

[0113] The parameter data acquisition module is used to acquire the data to be analyzed submitted by the user in the display interface.

[0114] The parameter data analysis module is used to determine the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard.

[0115] The analysis result display module is used to display the analysis result in the display interface.

[0116] In an embodiment of the present application, the display interface includes an analysis type selection interface, and the analysis type selection interface includes a first selection control and a second selection control.

[0117] In the embodiment of the present application, the request type determination module is specifically used to:

[0118] When the user triggers the first selection control in the analysis type selection interface, determining that the request type of the parameter data analysis request is a data analysis request;

[0119] When the user triggers the second selection control in the analysis type selection interface, it is determined that the request type of the parameter data analysis request is a data conversion request.

[0120] In an embodiment of the present application, the display interface includes a standard selection interface and a data submission interface.

[0121] In the embodiment of the present application, the analysis standard determination module is specifically used for:

[0122] Based on the user's selection operation on the data analysis standard in the standard selection interface, the target analysis standard is determined. Wherein, the standard selection interface displays a data analysis standard library, and the data analysis standard library includes multiple data analysis standards.

[0123] In the embodiment of the present application, the parameter data acquisition module is specifically used for:

[0124] Based on the data submission request of the user in the data submission interface, the data to be analyzed added by the user in the data collection area of ​​the data submission interface is obtained.

[0125] In the embodiment of the present application, the parameter data analysis module includes:

[0126] The data to be analyzed identifying unit is used to identify the data to be analyzed to obtain target data to be analyzed.

[0127] The parameter data analysis unit is used to determine the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and according to the preset analysis rules corresponding to the target data to be analyzed and the target analysis standard.

[0128] In the embodiment of the present application, the parameter data analysis unit includes:

[0129] The first data analysis sub-unit is used for, if the request type of the parameter data analysis request is a data analysis request, performing statistical analysis on the target data to be analyzed according to a preset analysis strategy corresponding to the parameter to which the data to be analyzed belongs, to obtain a statistical analysis result, and performing data analysis on the statistical analysis result according to a preset analysis rule corresponding to the target analysis standard, to obtain an analysis result corresponding to the data to be analyzed.

[0130] The second data analysis subunit is used to perform data conversion on the target data to be analyzed according to the preset analysis rules corresponding to the target analysis standard to determine the analysis result corresponding to the data to be analyzed if the request type of the parameter data analysis request is a data conversion request.

[0131] In an embodiment of the present application, the display interface includes a data display page, and the data display page includes a data determination control.

[0132] In the embodiment of the present application, the device further includes:

[0133] The data display module is used to display the target data to be analyzed in the data display interface and make the target data to be analyzed editable so that the user can modify the target data to be analyzed.

[0134] The data analysis trigger module is used to respond to the trigger operation of the user on the data determination control in the data display page, determine the data currently displayed in the data display interface as the target data to be analyzed, and execute the parameter data analysis unit.

[0135] In the embodiment of the present application, the analysis result display module is also used for:

[0136] If the request type of the parameter data analysis request is a data analysis request, the statistical analysis result is displayed in the display interface.

[0137] In the embodiment of the present application, the device further includes:

[0138] The alarm determination module is used to determine whether to perform an alarm operation according to the analysis result corresponding to the data to be analyzed if the request type of the parameter data analysis request is a data analysis request.

[0139] Since the parameter data analysis device provided in the embodiment of the present application is a virtual device corresponding to the parameter data analysis method of the above embodiment, it can also solve the problem in the prior art that it is difficult to accurately and efficiently determine whether the acquired parameter data meets the requirements of relevant standards.

[0140] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the parameter data analysis method described in the above embodiment when executing the computer program.

[0141] The electronic device provided in the embodiment of the present application, since it includes a processor capable of running the parameter data analysis method of the aforementioned embodiment, can also solve the problem in the prior art that it is difficult to accurately and efficiently determine whether the acquired parameter data meets the requirements of relevant standards.

[0142] An embodiment of the present application provides a machine-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the processor is configured to execute the parameter data analysis method described in the above embodiment.

[0143] The machine-readable storage medium provided in the embodiment of the present application stores instructions for enabling the machine to execute the parameter data analysis method of the above embodiment, and therefore can also solve the problem in the prior art that it is difficult to accurately and efficiently determine whether the acquired parameter data meets the requirements of relevant standards.

[0144] Figure 3 The internal structure diagram of the computer device of the embodiment of the present application is schematically shown. Figure 3 As shown, in one embodiment of the present application, a computer device is provided, which may be a terminal. The computer device includes a processor A01, a network interface A02, a display screen A04, an input device A05 and a memory (not shown in the figure) connected via a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor A01, a parameter data analysis method is implemented. The display screen A04 of the computer device may be a liquid crystal display or an electronic ink display, and the input device A05 of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0145] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0146] In one embodiment, the parameter data analysis device provided by the present application can be implemented in the form of a computer program. The computer program can be Figure 3 The computer device is run on the computer device shown. The memory of the computer device can store various program modules constituting the parameter data analysis device, and the computer program composed of various program modules enables the processor to execute the steps of the parameter data analysis method of each embodiment of the present application described in this specification.

[0147] Figure 3 The computer device shown can be Figure 2 The request type determination module in the parameter data analysis device shown executes step 100, the analysis standard determination module executes step 200, the parameter data acquisition module executes step 300, the parameter data analysis module executes step 400 and the analysis result display module executes step 500.

[0148] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0149] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0150] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0151] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0152] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0153] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0154] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0155] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0156] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A parameter data analysis method, characterized in that: Applied to a terminal device, the terminal device includes a display interface, and the method includes: Determining a request type of the parameter data analysis request according to a parameter data analysis request initiated by a user in the display interface; Determining a target analysis standard according to a selection operation of a data analysis standard by a user in the display interface; Acquire the data to be analyzed submitted by the user in the display interface; Determining an analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and a preset analysis rule corresponding to the target analysis standard; The analysis result is displayed in the display interface.

2. The method according to claim 1, characterized in that The display interface includes an analysis type selection interface, and the analysis type selection interface includes a first selection control and a second selection control; Determining, according to a parameter data analysis request initiated by a user in the display interface, a request type of the parameter data analysis request, including: When the user triggers the first selection control in the analysis type selection interface, determining that the request type of the parameter data analysis request is a data analysis request; When the user triggers the second selection control in the analysis type selection interface, it is determined that the request type of the parameter data analysis request is a data conversion request.

3. The method according to claim 1, characterized in that The display interface includes a standard selection interface and a data submission interface; Determining a target analysis standard according to a user's selection operation of a data analysis standard in the display interface includes: Determine the target analysis standard based on the user's selection operation of the data analysis standard in the standard selection interface; wherein the standard selection interface displays a data analysis standard library, and the data analysis standard library includes multiple data analysis standards; Acquiring the data to be analyzed submitted by the user in the display interface, including: Based on the data submission request of the user in the data submission interface, the data to be analyzed added by the user in the data collection area of ​​the data submission interface is obtained.

4. The method according to claim 1, characterized in that: Determining the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard includes: Identifying the data to be analyzed to obtain target data to be analyzed; Based on the request type of the parameter data analysis request, and according to preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, an analysis result corresponding to the data to be analyzed is determined.

5. The method according to claim 4, characterized in that Based on the request type of the parameter data analysis request, and according to the preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, determining the analysis result corresponding to the data to be analyzed, including: If the request type of the parameter data analysis request is a data analysis request, statistical analysis is performed on the target data to be analyzed according to a preset analysis strategy corresponding to the parameter to which the data to be analyzed belongs, to obtain a statistical analysis result, and data analysis is performed on the statistical analysis result according to a preset analysis rule corresponding to the target analysis standard, to obtain an analysis result corresponding to the data to be analyzed; If the request type of the parameter data analysis request is a data conversion request, data conversion is performed on the target data to be analyzed according to the preset analysis rule corresponding to the target analysis standard to determine the analysis result corresponding to the data to be analyzed.

6. The method according to claim 4, characterized in that The display interface includes a data display page, and the data display page includes a data determination control; After identifying the data to be analyzed and obtaining the target data to be analyzed, the method further includes: Displaying the target data to be analyzed in the data display interface and making the target data to be analyzed editable so that a user can modify the target data to be analyzed; In response to the user's triggering operation on the data determination control in the data display page, the data currently displayed in the data display interface is determined as the target data to be analyzed, and the request type based on the parameter data analysis request is executed. According to the preset analysis rules corresponding to the target data to be analyzed and the target analysis standard, the analysis result step corresponding to the data to be analyzed is determined.

7. The method according to claim 5, characterized in that If the request type of the parameter data analysis request is a data analysis request, the method further includes: Displaying the statistical analysis results in the display interface; and / or Determine whether to execute an alarm operation according to the analysis result corresponding to the data to be analyzed.

8. A parameter data analysis device, characterized in that: Configured in a terminal device, the terminal device includes a display interface, and the device includes: A request type determination module, configured to determine a request type of the parameter data analysis request according to a parameter data analysis request initiated by a user in the display interface; An analysis standard determination module, used to determine a target analysis standard according to a user's selection operation of a data analysis standard in the display interface; A parameter data acquisition module, used to acquire the data to be analyzed submitted by the user in the display interface; A parameter data analysis module, used to determine the analysis result corresponding to the data to be analyzed based on the request type of the parameter data analysis request and the preset analysis rule corresponding to the target analysis standard; The analysis result display module is used to display the analysis result in the display interface.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the parameter data analysis method according to any one of claims 1 to 7 is implemented.

10. A machine-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by a processor, the processor is configured to perform the parameter data analysis method according to any one of claims 1 to 7.

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