A method and apparatus for assessing the health status of sintering equipment

Abstract

This invention discloses a method and apparatus for assessing the health status of sintering equipment. The method includes: acquiring sintering equipment status information; the sintering equipment status information includes at least one sintering equipment status parameter; determining the health status of the sintering equipment based on the sintering equipment status information and preset health status assessment rules; and the sintering equipment health status being used to indicate intelligent operation and maintenance of the sintering equipment. Therefore, this invention can determine the health status of the sintering equipment for indicating intelligent operation and maintenance by acquiring sintering equipment status information and then using health status assessment rules. This facilitates rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

Description

Technical Field

[0001] This invention relates to the field of equipment health assessment, and more particularly to a method and apparatus for assessing the health status of sintering equipment. Background Technology

[0002] Currently, equipment health management technology has gradually gained attention, especially in the key monitoring data of sintering equipment, where data closely related to equipment health status include temperature and vibration data. Based on sintering equipment operating data, statistical analysis methods are often used for health assessment. While this method is relatively easy to implement, it has significant limitations, relying excessively on human experience. The accuracy of the assessment results is highly correlated with the assessor's experience, making it difficult to achieve rapid and accurate assessment of the sintering equipment's health status. Therefore, providing a method and device for assessing the health status of sintering equipment to achieve rapid and accurate assessment, thereby improving fault prediction and intelligent operation and maintenance capabilities, is of paramount importance. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and apparatus for assessing the health status of sintering equipment. This method can obtain the status information of sintering equipment and then use health status assessment rules to determine the health status of sintering equipment for indicating intelligent operation and maintenance. This is beneficial to achieve rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0004] To address the aforementioned technical problems, a first aspect of the present invention discloses a method for assessing the health status of sintering equipment, the method comprising:

[0005] Acquire sintering equipment status information; the sintering equipment status information includes at least one sintering equipment status parameter;

[0006] Based on the status information of the sintering equipment and the preset health status assessment rules, the health status of the sintering equipment is determined; the health status of the sintering equipment is used to indicate the intelligent operation and maintenance of the sintering equipment.

[0007] As an optional implementation, in the first aspect of the present invention, determining the health status of the sintering equipment based on the sintering equipment status information and a preset health status assessment model includes:

[0008] Based on the status information of the sintering equipment, a set of parameter health states is determined; the set of parameter health states includes at least one deviation value corresponding to the status parameter of the sintering equipment.

[0009] The health status of the sintering equipment is determined based on the set of parameter health statuses.

[0010] As an optional implementation, in the first aspect of the present invention, determining the parameter health status set based on the sintering equipment status information includes:

[0011] For any sintering equipment state parameter, the deviation value corresponding to the sintering equipment state parameter is determined based on the sintering equipment state parameter and the preset reference value corresponding to the sintering equipment state parameter.

[0012] As an optional implementation, in the first aspect of the present invention, determining the health status of the sintering equipment based on the parameter health status set includes:

[0013] Based on the set of parameter health statuses, determine the device parameter status type;

[0014] Determine whether the device parameter status type matches the fault type to obtain the first matching result;

[0015] When the first matching result indicates that the equipment parameter status type matches the fault type, the health status of the sintering equipment is determined according to the equipment parameter status type.

[0016] When the first matching result indicates that the equipment parameter status type does not match the fault type, a parameter deviation set is determined based on the sintering equipment status information; the parameter deviation set includes the deviation change rate corresponding to at least one sintering equipment status parameter.

[0017] The health status of the sintering equipment is determined based on the set of healthy parameters and the set of deviations from the parameters.

[0018] As an optional implementation, in the first aspect of the present invention, the device parameter status type includes a device parameter fault type and / or a device parameter health type;

[0019] The step of determining the device parameter status type based on the set of parameter health statuses includes:

[0020] Based on the set of parameter health states, a set of parameter state types is determined; the set of parameter state types includes at least one parameter state type corresponding to a sintering equipment state parameter.

[0021] Match all parameter status types in the parameter status type set with the parameter fault type to obtain a second matching result;

[0022] When the second matching result indicates that there is a target parameter state type in the parameter state type set that matches the parameter fault type, the device parameter state type is determined to be a device parameter fault type.

[0023] When the second matching result indicates that there is no target parameter status type in the parameter status type set that matches the parameter fault type, the device parameter status type is determined to be the device parameter health type.

[0024] As an optional implementation, in a first aspect of the present invention, determining the health status of the sintering equipment based on the parameter health status set and the parameter deviation set includes:

[0025] Based on the parameter health status set and the parameter deviation set, a parameter health value set is determined; the parameter health value set includes parameter health values ​​corresponding to at least one sintering equipment status parameter.

[0026] Based on the set of health values ​​of the parameters and the preset weighted evaluation rules, the health status of the sintering equipment is determined.

[0027] As an optional implementation, in the first aspect of the present invention, obtaining the sintering equipment status information includes:

[0028] Obtain initial state parameter information; the initial state parameter information includes at least one initial state parameter;

[0029] Based on the initial state parameter information, the state information of the sintering equipment is determined.

[0030] As an optional implementation, in the first aspect of the present invention, determining the sintering equipment state information based on the initial state parameter information includes:

[0031] Based on the initial state parameter information, an initial state parameter type set is determined; the initial state parameter type set includes at least one parameter type corresponding to the initial state parameter.

[0032] For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter meets the processing conditions, and obtain the first judgment result;

[0033] When the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the sintering equipment state parameter corresponding to the initial state parameter is obtained according to the initial state parameter and the preset data processing rules.

[0034] A second aspect of this invention discloses a health status assessment device for sintering equipment, the device comprising:

[0035] The acquisition module is used to acquire sintering equipment status information; the sintering equipment status information includes at least one sintering equipment status parameter;

[0036] The determination module is used to determine the health status of the sintering equipment based on the status information of the sintering equipment and the preset health status assessment rules; the health status of the sintering equipment is used to indicate the intelligent operation and maintenance of the sintering equipment.

[0037] As an optional implementation, in a second aspect of the present invention, the determining module includes a first determining submodule and a second determining submodule, wherein:

[0038] The first determining submodule is used to determine a set of parameter health states based on the sintering equipment status information; the set of parameter health states includes at least one deviation value corresponding to a sintering equipment status parameter.

[0039] The second determining submodule is used to determine the health status of the sintering equipment based on the set of parameter health statuses.

[0040] As an optional implementation, in the second aspect of the present invention, the specific method by which the first determining submodule determines the parameter health status set based on the sintering equipment status information is as follows:

[0041] For any sintering equipment state parameter, the deviation value corresponding to the sintering equipment state parameter is determined based on the sintering equipment state parameter and the preset reference value corresponding to the sintering equipment state parameter.

[0042] As an optional implementation, in a second aspect of the present invention, the second determining submodule determines the health status of the sintering equipment based on the parameter health status set in the following specific manner:

[0043] Based on the set of parameter health statuses, determine the device parameter status type;

[0044] Determine whether the device parameter status type matches the fault type to obtain the first matching result;

[0045] When the first matching result indicates that the equipment parameter status type matches the fault type, the health status of the sintering equipment is determined according to the equipment parameter status type.

[0046] When the first matching result indicates that the equipment parameter status type does not match the fault type, a parameter deviation set is determined based on the sintering equipment status information; the parameter deviation set includes the deviation change rate corresponding to at least one sintering equipment status parameter.

[0047] The health status of the sintering equipment is determined based on the set of healthy parameters and the set of deviations from the parameters.

[0048] As an optional implementation, in the second aspect of the present invention, the device parameter status type includes a device parameter fault type and / or a device parameter health type;

[0049] The second determining submodule determines the device parameter status type based on the parameter health status set in the following specific way:

[0050] Based on the set of parameter health states, a set of parameter state types is determined; the set of parameter state types includes at least one parameter state type corresponding to a sintering equipment state parameter.

[0051] Match all parameter status types in the parameter status type set with the parameter fault type to obtain a second matching result;

[0052] When the second matching result indicates that there is a target parameter state type in the parameter state type set that matches the parameter fault type, the device parameter state type is determined to be a device parameter fault type.

[0053] When the second matching result indicates that there is no target parameter status type in the parameter status type set that matches the parameter fault type, the device parameter status type is determined to be the device parameter health type.

[0054] As an optional implementation, in a second aspect of the present invention, the second determining submodule determines the health status of the sintering equipment based on the parameter health status set and the parameter deviation set in the following specific manner:

[0055] Based on the parameter health status set and the parameter deviation set, a parameter health value set is determined; the parameter health value set includes parameter health values ​​corresponding to at least one sintering equipment status parameter.

[0056] Based on the set of health values ​​of the parameters and the preset weighted evaluation rules, the health status of the sintering equipment is determined.

[0057] As an optional implementation, in a second aspect of the present invention, the acquisition module includes an acquisition submodule and a third determination submodule, wherein:

[0058] The acquisition submodule is used to acquire initial state parameter information; the initial state parameter information includes at least one initial state parameter;

[0059] The third determining submodule is used to determine the sintering equipment status information based on the initial state parameter information.

[0060] As an optional implementation, in the second aspect of the present invention, the third determining submodule determines the sintering equipment status information based on the initial state parameter information in the following specific manner:

[0061] Based on the initial state parameter information, an initial state parameter type set is determined; the initial state parameter type set includes at least one parameter type corresponding to the initial state parameter.

[0062] For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter meets the processing conditions, and obtain the first judgment result;

[0063] When the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the sintering equipment state parameter corresponding to the initial state parameter is obtained according to the initial state parameter and the preset data processing rules.

[0064] A third aspect of the present invention discloses another health status assessment device for sintering equipment, the device comprising:

[0065] Memory containing executable program code;

[0066] A processor coupled to the memory;

[0067] The processor calls the executable program code stored in the memory to execute some or all of the steps in the sintering equipment health status assessment method disclosed in the first aspect of the present invention.

[0068] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the sintering equipment health status assessment method disclosed in the first aspect of the present invention.

[0069] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0070] In this embodiment of the invention, sintering equipment status information is acquired; the sintering equipment status information includes at least one sintering equipment status parameter; based on the sintering equipment status information and preset health status assessment rules, the health status of the sintering equipment is determined; the health status of the sintering equipment is used to indicate intelligent operation and maintenance of the sintering equipment. Therefore, this invention can acquire sintering equipment status information and then use health status assessment rules to determine the health status of the sintering equipment for indicating intelligent operation and maintenance, which is beneficial for achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment. Attached Figure Description

[0071] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0072] Figure 1 This is a schematic flowchart of a method for assessing the health status of sintering equipment disclosed in an embodiment of the present invention;

[0073] Figure 2 This is a flowchart illustrating another method for assessing the health status of sintering equipment disclosed in an embodiment of the present invention.

[0074] Figure 3 This is a schematic diagram of the structure of a sintering equipment health status assessment device disclosed in an embodiment of the present invention;

[0075] Figure 4 This is a schematic diagram of another sintering equipment health status assessment device disclosed in an embodiment of the present invention;

[0076] Figure 5 A schematic diagram of the structure of another sintering equipment health status assessment device disclosed in this embodiment of the invention. Detailed Implementation

[0077] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0078] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0079] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0080] This invention discloses a method and apparatus for assessing the health status of sintering equipment. By acquiring the status information of the sintering equipment and then using health status assessment rules, the method determines the health status of the sintering equipment to indicate intelligent operation and maintenance. This facilitates rapid and accurate assessment of the health status of the sintering equipment, thereby improving fault prediction and intelligent operation and maintenance capabilities. Detailed descriptions follow.

[0081] Example 1

[0082] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for assessing the health status of sintering equipment disclosed in an embodiment of the present invention. Figure 1 The described sintering equipment health status assessment method is applied to equipment health systems, such as local servers or cloud servers used for sintering equipment health status assessment and management; this embodiment of the invention is not limited to such applications. Figure 1 As shown, the health status assessment method for sintering equipment may include the following operations:

[0083] 101. Obtain the status information of the sintering equipment.

[0084] In this embodiment of the invention, the sintering equipment status information includes at least one sintering equipment status parameter.

[0085] 102. Determine the health status of the sintering equipment based on the status information of the sintering equipment and the preset health status assessment rules.

[0086] In this embodiment of the invention, the health status of the sintering equipment is used to indicate the intelligent operation and maintenance of the sintering equipment.

[0087] In this embodiment of the invention, the sintering equipment status parameters include flow rate, and / or current, and / or pressure, and / or voltage, and / or temperature, which are not limited in this embodiment of the invention.

[0088] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can obtain sintering equipment status information and then use health status assessment rules to determine the sintering equipment health status for indicating intelligent operation and maintenance of the sintering equipment. This is beneficial for achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0089] In an optional embodiment, step 102 above, which determines the health status of the sintering equipment based on the sintering equipment status information and a preset health status assessment model, includes:

[0090] Based on the status information of the sintering equipment, a set of parameter health states is determined; the set of parameter health states includes the deviation value corresponding to at least one status parameter of the sintering equipment.

[0091] The health status of the sintering equipment is determined based on the set of parameter health statuses.

[0092] In this embodiment of the invention, after obtaining all sintering equipment status parameters used to evaluate the health status of the sintering equipment, the sintering equipment status parameters are processed to obtain the deviation value corresponding to each sintering equipment status parameter, and then the health status of the sintering equipment is determined based on the deviation value.

[0093] As can be seen, the sintering equipment health status assessment method described in the embodiments of the present invention can determine the parameter health status set including the deviation values ​​corresponding to the sintering equipment status parameters based on the sintering equipment status information, and then determine the health status of the sintering equipment. This provides an implementation path for determining the health status of sintering equipment, which is conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0094] In another optional embodiment, the set of parameter health states determined based on the sintering equipment status information includes:

[0095] For any sintering equipment state parameter, the deviation value corresponding to the sintering equipment state parameter is determined based on the sintering equipment state parameter and the preset reference value corresponding to the sintering equipment state parameter.

[0096] In this embodiment of the invention, for any sintering equipment state parameter x, there is a reference value r corresponding to that sintering equipment state parameter x in the database. x The deviation value e corresponding to the state parameters of the sintering equipment x It can be represented as

[0097] e x =xr x .

[0098] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can determine the deviation value corresponding to the sintering equipment status parameters based on the sintering equipment status parameters and the reference values ​​corresponding to the sintering equipment status parameters. This is beneficial for achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0099] In yet another optional embodiment, determining the health status of the sintering equipment based on the parameter health status set includes:

[0100] Based on the set of parameter health statuses, determine the device parameter status type;

[0101] Determine whether the device parameter status type matches the fault type to obtain the first matching result;

[0102] When the first matching result indicates that the equipment parameter status type matches the fault type, the health status of the sintering equipment is determined based on the equipment parameter status type.

[0103] When the first matching result indicates that the equipment parameter status type does not match the fault type, a parameter deviation set is determined based on the sintering equipment status information; the parameter deviation set includes the deviation change rate corresponding to at least one sintering equipment status parameter.

[0104] The health status of the sintering equipment is determined based on the set of healthy parameters and the set of parameter deviations.

[0105] In an embodiment of the present invention, the equipment parameter status type is determined based on the deviation value corresponding to the status parameters of the sintering equipment.

[0106] In this embodiment of the invention, when the equipment parameter status type is the equipment parameter fault type, the first matching result indicates that the equipment parameter status type matches the fault type, and the health status of the sintering equipment is determined to be a fault state.

[0107] When the first matching result indicates that the equipment parameter status type does not match the fault type, the parameter deviation set is determined based on the sintering equipment status information. Specifically, for any sintering equipment status parameter x, its corresponding deviation value e is determined. x The deviation rate of change is obtained by performing an integral transformation over time. x It can be represented as

[0108] ec x =dr x / dt.

[0109] As can be seen, the sintering equipment health status assessment method described in the embodiments of the present invention can determine the health status of the sintering equipment by judging the status type of the equipment parameters, and then determine the parameter deviation set including the deviation change rate corresponding to the status parameters of the sintering equipment based on the status information of the sintering equipment. In addition, the health status of the sintering equipment can be determined based on the parameter health status set and the parameter deviation set. This is more conducive to achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0110] In yet another optional embodiment, the device parameter status type includes a device parameter fault type and / or a device parameter health type;

[0111] Based on the set of parameter health states, the device parameter status types are determined, including:

[0112] Based on the set of parameter health states, a set of parameter state types is determined; the set of parameter state types includes at least one parameter state type corresponding to a sintering equipment state parameter.

[0113] Match all parameter status types in the parameter status type set with the parameter fault type to obtain the second matching result;

[0114] When the second matching result indicates that there is a target parameter state type in the parameter state type set that matches the parameter fault type, the device parameter state type is determined to be the device parameter fault type.

[0115] When the second matching result indicates that there is no target parameter status type in the parameter status type set that matches the parameter fault type, the device parameter status type is determined to be the device parameter health type.

[0116] In this embodiment of the invention, a set of parameter state types is determined based on a set of parameter health states. Specifically, for any sintering equipment state parameter, the deviation value e is... x The database contains the state threshold s corresponding to the state parameter x of the sintering equipment. x The state value ee corresponding to the state parameters of the sintering equipment is calculated. x It can be represented as

[0117] ee x =|e x | / r x .

[0118] Furthermore, the state value ee corresponding to the state parameters of the sintering equipment is... x The state threshold s corresponding to the state parameters of the sintering equipment x A comparison and judgment are made based on the state value ee corresponding to the state parameter of the sintering equipment. xThe state threshold s corresponding to the state parameter of the sintering equipment is greater than or equal to the state parameter of the sintering equipment. x When the sintering equipment status parameter is determined to be a parameter fault type, the status value ee corresponding to the sintering equipment status parameter is determined to be a parameter fault type. x Less than the state threshold s corresponding to the state parameters of the sintering equipment x When the sintering equipment status parameters are determined, the parameter status type is determined to be the parameter healthy type.

[0119] Optionally, the specific method for obtaining the second matching result by matching all parameter status types and parameter fault types in the above parameter status type set is as follows:

[0120] Determine if any parameter fault type exists in the parameter status type set;

[0121] When a parameter fault type exists in the parameter status type set, the second matching result is that there is a target parameter status type in the parameter status type set that matches the parameter fault type;

[0122] When there is no parameter fault type in the parameter status type set, the second matching result is that there is no target parameter status type in the parameter status type set that matches the parameter fault type.

[0123] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can determine the parameter status type set based on the parameter health status set, and then determine the equipment parameter status type by matching, which is more conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0124] In yet another optional embodiment, determining the health status of the sintering equipment based on the parameter health status set and the parameter deviation set includes:

[0125] Based on the parameter health status set and the parameter deviation set, the parameter health value set is determined; the parameter health value set includes the parameter health value corresponding to at least one sintering equipment status parameter;

[0126] Based on the set of parameter health values ​​and the preset weighted evaluation rules, the health status of the sintering equipment is accurately determined.

[0127] In this embodiment of the invention, the specific method for determining the parameter health value set based on the parameter health status set and the parameter deviation set is as follows:

[0128] For any sintering equipment state parameter x, the deviation value e corresponding to the sintering equipment state parameter is obtained using the fuzzy membership criterion. x The deviation rate of change corresponding to the state parameters of the sintering equipment (ec) xFuzzification and fuzzy inference are performed to obtain the fuzzy health values ​​corresponding to the state parameters of the sintering equipment. Then, the fuzzy health values ​​are defuzzified to obtain the parameter health values ​​corresponding to the state parameters of the sintering equipment.

[0129] Optionally, the deviation value e corresponding to the above-mentioned state parameters of the sintering equipment x The deviation rate of change corresponding to the state parameters of the sintering equipment (ec) x The fuzzification process includes using relative values ​​to represent the deviation values ​​e corresponding to the state parameters of the sintering equipment. x The deviation rate of change corresponding to the state parameters of the sintering equipment (ec) x Perform fuzzy quantization. Specifically, the deviation value e x and deviation rate of change ec x Converted to the first deviation value e xr and the first deviation rate of change ec xr Then, the first deviation value e is... xr Second deviation rate of change ec xr Quantify it.

[0130] Optional, e xr =e x / r x .

[0131] Optional, ec xr =d(e x / r x ) / dt.

[0132] Optionally, the aforementioned first deviation value e xr Second deviation rate of change ec xr A fuzzy subset that uses the same linguistic value.

[0133] Optionally, the above fuzzy subset includes negative large, negative medium, negative small, zero, positive small, positive medium, and positive large.

[0134] Optionally, the aforementioned first deviation value e xr Second deviation rate of change ec xr The quantization level is N. Where N is a positive integer.

[0135] Optionally, the aforementioned first deviation value e xr Second deviation rate of change ec xr There are corresponding first and second domains.

[0136] Optionally, for any sintering equipment state parameter x, the first deviation value e xr Second deviation rate of change ec xrThe mapping values ​​of the first and second domains are mapped to N quantization levels, and then the first deviation value e is obtained through the membership function. xr Second deviation rate of change ec xr Assigning values ​​to the first and second membership degrees on the fuzzy subset variables.

[0137] Optionally, the membership function can be a Gaussian function.

[0138] Optionally, for any sintering equipment state parameter x, the first deviation value e xr Second deviation rate of change ec xr Based on the first and second membership assignments, and the preset fuzzy health rules, the fuzzy health value H corresponding to the state parameter x of the sintering equipment is determined. xm Then, based on the fuzzy health value H xm Determine the current health level H xr Furthermore, based on the current health level H corresponding to the sintering equipment's status parameter x. xr The fundamental domain of discourse H corresponding to the health parameter x of the sintering equipment. xx Determine the parameter health value H corresponding to the state parameter x of the sintering equipment. x .

[0139] Optionally, there is a mapping relationship between the basic domain of health and the health level mentioned above.

[0140] Optionally, the above health level is level M. Where M is a positive integer.

[0141] Optionally, the above-mentioned health fuzzy rules include a fuzzy rule table based on the assignment of a first membership degree and a second membership degree.

[0142] In this embodiment of the invention, the specific method for determining the health status of the sintering equipment based on the set of parameter health values ​​and the preset weighted evaluation rules is as follows:

[0143] The weighted health value is obtained by multiplying the health value of the sintering equipment's status parameters by their weighting coefficients. Then, all weighted health values ​​are summed to obtain the overall health value. The health status of the sintering equipment is determined based on this health value and the health status assessment rules. For example, if the sintering equipment's status parameters include temperature, pressure, and voltage, with corresponding health values ​​of 70, 80, and 90, and weighting coefficients of 0.3, 0.3, and 0.4, the calculated weighted health values ​​are 21, 24, and 36, resulting in a total health value of 81. The health status assessment rules are "healthy," "requires maintenance," and "requires repair," with corresponding health value ranges of [0, 60), [60, 80), and [80, 100], respectively. Therefore, the health status of the sintering equipment can be determined as "healthy."

[0144] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can determine the parameter health value set based on the parameter health status set and the parameter deviation set, and then accurately determine the health status of the sintering equipment according to the weighted assessment rules. This is more conducive to achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0145] Example 2

[0146] Please see Figure 2 , Figure 2 This is a schematic flowchart of another method for assessing the health status of sintering equipment disclosed in an embodiment of the present invention. Figure 2 The described sintering equipment health status assessment method is applied to equipment health systems, such as local servers or cloud servers used for sintering equipment health status assessment and management; this embodiment of the invention is not limited to such applications. Figure 2 As shown, the health status assessment method for sintering equipment may include the following operations:

[0147] 201. Obtain initial state parameter information.

[0148] In this embodiment of the invention, the initial state parameter information includes at least one initial state parameter.

[0149] 202. Determine the sintering equipment status information based on the initial state parameter information.

[0150] 203. Determine the health status of the sintering equipment based on the status information of the sintering equipment and the preset health status assessment rules.

[0151] In this embodiment of the invention, the specific technical details and explanations of technical terms for step 203 can be found in the detailed description of step 102 in Embodiment 1, and will not be repeated here.

[0152] In this embodiment of the invention, the initial state parameters include initial flow rate, and / or initial current, and / or initial pressure, and / or initial voltage, and / or initial temperature. This embodiment of the invention does not limit the parameters.

[0153] Optionally, the aforementioned initial state parameter information can be obtained through sensors or from the device health system; this embodiment of the invention does not impose any limitations.

[0154] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can determine the sintering equipment status information through initial status parameter information, and then determine the sintering equipment health status for indicating intelligent operation and maintenance of the sintering equipment using health status assessment rules. This is beneficial for achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0155] In an optional embodiment, step 202 above, which determines the sintering equipment status information based on the initial state parameter information, includes:

[0156] Based on the initial state parameter information, the initial state parameter type set is determined; the initial state parameter type set includes at least one parameter type corresponding to an initial state parameter.

[0157] For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter meets the processing conditions, and obtain the first judgment result;

[0158] When the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the sintering equipment state parameter corresponding to the initial state parameter is obtained according to the initial state parameter and the preset data processing rules.

[0159] In this embodiment of the invention, for any initial state parameter, the parameter type corresponding to the initial state parameter is determined.

[0160] Optionally, the parameter type includes numeric type and / or analog type, which is not limited in this embodiment of the invention.

[0161] Optionally, the specific method for determining whether the parameter type corresponding to any initial state parameter satisfies the processing conditions and obtaining the first judgment result is as follows:

[0162] For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter is a simulation type;

[0163] When the parameter type corresponding to the initial state parameter is a simulation type, the first judgment result is that the parameter type corresponding to the initial state parameter meets the processing conditions.

[0164] When the parameter type corresponding to the initial state parameter is not a simulation type, the first judgment result is that the parameter type corresponding to the initial state parameter does not meet the processing conditions.

[0165] Optionally, when the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the specific method for obtaining the sintering equipment state parameter corresponding to the initial state parameter based on the initial state parameter and the preset data processing rules is as follows:

[0166] The initial state parameters are filtered to obtain the first state parameters. The first state parameters are then converted into digital state parameters. Finally, the digital state parameters are filtered to obtain the sintering equipment state parameters corresponding to the initial state parameters.

[0167] Optionally, when the first judgment result indicates that the parameter type corresponding to the initial state parameter does not meet the processing conditions, the specific method for obtaining the sintering equipment state parameter corresponding to the initial state parameter based on the initial state parameter and the preset data processing rules is as follows:

[0168] The initial state parameters are filtered to obtain the sintering equipment state parameters corresponding to the initial state parameters.

[0169] It is evident that the sintering equipment health status assessment method described in the embodiments of the present invention can determine the processing method for the initial state parameters by judging whether the initial state parameters meet the processing conditions, and then process the data according to the data processing rules to obtain the sintering equipment status parameters. This is more conducive to achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0170] Example 3

[0171] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a sintering equipment health status assessment device disclosed in an embodiment of the present invention. Figure 3 The described apparatus can be applied to equipment health systems, such as local servers or cloud servers used for health status assessment and management of sintering equipment, and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:

[0172] The acquisition module 301 is used to acquire the status information of the sintering equipment; the status information of the sintering equipment includes at least one status parameter of the sintering equipment.

[0173] The determination module 302 is used to determine the health status of the sintering equipment based on the status information of the sintering equipment and the preset health status assessment rules; the health status of the sintering equipment is used to indicate the intelligent operation and maintenance of the sintering equipment.

[0174] It is evident that implementation Figure 3 The described sintering equipment health status assessment device can obtain sintering equipment status information and then use health status assessment rules to determine the health status of the sintering equipment for indicating intelligent operation and maintenance. This is conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0175] In another alternative embodiment, such as Figure 4 As shown, the determining module 302 includes a first determining submodule 3021 and a second determining submodule 3022, wherein:

[0176] The first determining submodule 3021 is used to determine a set of parameter health states based on the sintering equipment status information; the set of parameter health states includes at least one deviation value corresponding to a sintering equipment status parameter.

[0177] The second determining submodule 3022 is used to determine the health status of the sintering equipment based on the set of parameter health statuses.

[0178] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine a set of parameter health statuses, including the deviation values ​​corresponding to the sintering equipment status parameters, based on the sintering equipment status information, and then determine the health status of the sintering equipment. This provides a path for determining the health status of sintering equipment, which is conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0179] In yet another alternative embodiment, such as Figure 4 As shown, the first determining submodule 3021 determines the parameter health status set based on the sintering equipment status information in the following specific way:

[0180] For any sintering equipment state parameter, the deviation value corresponding to the sintering equipment state parameter is determined based on the sintering equipment state parameter and the preset reference value corresponding to the sintering equipment state parameter.

[0181] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine the deviation value corresponding to the sintering equipment status parameters based on the sintering equipment status parameters and the corresponding reference values. This facilitates rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0182] In yet another alternative embodiment, such as Figure 4 As shown, the second determining submodule 3021 determines the health status of the sintering equipment based on the parameter health status set in the following specific way:

[0183] Based on the set of parameter health statuses, determine the device parameter status type;

[0184] Determine whether the device parameter status type matches the fault type to obtain the first matching result;

[0185] When the first matching result indicates that the equipment parameter status type matches the fault type, the health status of the sintering equipment is determined based on the equipment parameter status type.

[0186] When the first matching result indicates that the equipment parameter status type does not match the fault type, a parameter deviation set is determined based on the sintering equipment status information; the parameter deviation set includes the deviation change rate corresponding to at least one sintering equipment status parameter.

[0187] The health status of the sintering equipment is determined based on the set of healthy parameters and the set of parameter deviations.

[0188] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine the health status of sintering equipment by judging the status type of equipment parameters, and then determine the parameter deviation set including the deviation change rate corresponding to the status parameters of sintering equipment based on the status information of sintering equipment. Finally, the health status of sintering equipment is determined based on the parameter health status set and the parameter deviation set, which is more conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0189] In yet another alternative embodiment, such as Figure 4 As shown, the device parameter status types include device parameter fault types and / or device parameter health types;

[0190] The second determining submodule 3022 determines the specific method for determining the device parameter status type based on the parameter health status set as follows:

[0191] Based on the set of parameter health states, a set of parameter state types is determined; the set of parameter state types includes at least one parameter state type corresponding to a sintering equipment state parameter.

[0192] Match all parameter status types in the parameter status type set with the parameter fault type to obtain the second matching result;

[0193] When the second matching result indicates that there is a target parameter state type in the parameter state type set that matches the parameter fault type, the device parameter state type is determined to be the device parameter fault type.

[0194] When the second matching result indicates that there is no target parameter status type in the parameter status type set that matches the parameter fault type, the device parameter status type is determined to be the device parameter health type.

[0195] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine the parameter status type set based on the parameter health status set, and then judge the equipment parameter status type by matching, which is more conducive to achieving rapid and accurate assessment of the health status of sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of sintering equipment.

[0196] In yet another alternative embodiment, such as Figure 4 As shown, the second determining submodule 3022 determines the health status of the sintering equipment based on the parameter health status set and the parameter deviation set in the following specific way:

[0197] Based on the parameter health status set and the parameter deviation set, the parameter health value set is determined; the parameter health value set includes the parameter health value corresponding to at least one sintering equipment status parameter;

[0198] Based on the set of parameter health values ​​and the preset weighted evaluation rules, the health status of the sintering equipment is accurately determined.

[0199] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine the parameter health value set based on the parameter health status set and parameter deviation set, and then determine the sintering equipment health status according to the weighted assessment rules. This is more conducive to achieving rapid and accurate assessment of the sintering equipment health status, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0200] In yet another alternative embodiment, such as Figure 4 As shown, the acquisition module 301 includes an acquisition submodule 3011 and a third determination submodule 3012, wherein:

[0201] The acquisition submodule 3011 is used to acquire initial state parameter information; the initial state parameter information includes at least one initial state parameter.

[0202] The third determining submodule 3012 is used to determine the sintering equipment status information based on the initial state parameter information.

[0203] It is evident that implementation Figure 4The described sintering equipment health status assessment device can determine the sintering equipment status information from the initial status parameter information, and then use health status assessment rules to determine the sintering equipment health status for indicating intelligent operation and maintenance of the sintering equipment. This is conducive to achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0204] In yet another alternative embodiment, such as Figure 4 As shown, the third determining submodule 3012 determines the sintering equipment status information based on the initial state parameter information in the following specific way:

[0205] Based on the initial state parameter information, the initial state parameter type set is determined; the initial state parameter type set includes at least one parameter type corresponding to an initial state parameter.

[0206] For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter meets the processing conditions, and obtain the first judgment result;

[0207] When the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the sintering equipment state parameter corresponding to the initial state parameter is obtained according to the initial state parameter and the preset data processing rules.

[0208] It is evident that implementation Figure 4 The described sintering equipment health status assessment device can determine the processing method for the initial state parameters by judging whether the initial state parameters meet the processing conditions, and then process them according to the data processing rules to obtain the sintering equipment status parameters. This is more conducive to achieving rapid and accurate assessment of the health status of the sintering equipment, thereby improving the fault prediction and intelligent operation and maintenance capabilities of the sintering equipment.

[0209] Example 4

[0210] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of another sintering equipment health status assessment device disclosed in an embodiment of the present invention. Wherein, Figure 5 The described apparatus can be applied to equipment health systems, such as local servers or cloud servers used for health status assessment and management of sintering equipment, and the embodiments of the present invention are not limited thereto. Figure 5 As shown, the device may include:

[0211] Memory 401 storing executable program code;

[0212] Processor 402 coupled to memory 401;

[0213] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the sintering equipment health status assessment method described in Embodiment 1 or Embodiment 2.

[0214] Example 5

[0215] This invention discloses a computer read storage medium that stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the steps in the sintering equipment health status assessment method described in Embodiment 1 or Embodiment 2.

[0216] Example 6

[0217] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the sintering equipment health status assessment method described in Embodiment 1 or Embodiment 2.

[0218] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0219] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0220] Finally, it should be noted that the sintering equipment health status assessment method and apparatus disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for assessing the health status of sintering equipment, characterized in that, The method includes: Acquire sintering equipment status information; the sintering equipment status information includes at least one sintering equipment status parameter; Based on the status information of the sintering equipment and the preset health status assessment rules, the health status of the sintering equipment is determined; the health status of the sintering equipment is used to indicate the intelligent operation and maintenance of the sintering equipment. The step of determining the health status of the sintering equipment based on the sintering equipment status information and a preset health status assessment model includes: Based on the status information of the sintering equipment, a set of parameter health states is determined; the set of parameter health states includes at least one deviation value corresponding to the status parameter of the sintering equipment. The health status of the sintering equipment is determined based on the set of parameter health statuses. The process of determining the health status of the sintering equipment based on the set of parameter health statuses includes: Based on the set of parameter health statuses, determine the device parameter status type; Determine whether the device parameter status type matches the fault type to obtain the first matching result; When the first matching result indicates that the equipment parameter status type matches the fault type, the health status of the sintering equipment is determined according to the equipment parameter status type. When the first matching result indicates that the equipment parameter status type does not match the fault type, a parameter deviation set is determined based on the sintering equipment status information; the parameter deviation set includes the deviation change rate corresponding to at least one sintering equipment status parameter. The health status of the sintering equipment is determined based on the set of healthy parameters and the set of deviations from the parameters.

2. The method for assessing the health status of sintering equipment according to claim 1, characterized in that, The process of determining the parameter health status set based on the sintering equipment status information includes: For any sintering equipment state parameter, the deviation value corresponding to the sintering equipment state parameter is determined based on the sintering equipment state parameter and the preset reference value corresponding to the sintering equipment state parameter.

3. The method for assessing the health status of sintering equipment according to claim 2, characterized in that, The device parameter status types include device parameter fault types and device parameter health types; The step of determining the device parameter status type based on the set of parameter health statuses includes: Based on the set of parameter health states, a set of parameter state types is determined; the set of parameter state types includes at least one parameter state type corresponding to a sintering equipment state parameter. Match all parameter status types in the parameter status type set with the parameter fault type to obtain a second matching result; When the second matching result indicates that there is a target parameter state type in the parameter state type set that matches the parameter fault type, the device parameter state type is determined to be a device parameter fault type. When the second matching result indicates that there is no target parameter status type in the parameter status type set that matches the parameter fault type, the device parameter status type is determined to be the device parameter health type.

4. The method for assessing the health status of sintering equipment according to claim 3, characterized in that, Determining the health status of the sintering equipment based on the parameter health status set and the parameter deviation set includes: Based on the parameter health status set and the parameter deviation set, a parameter health value set is determined; the parameter health value set includes parameter health values ​​corresponding to at least one sintering equipment status parameter. The health status of the sintering equipment is determined based on the set of parameter health values ​​and the preset weighted evaluation rules.

5. The method for assessing the health status of sintering equipment according to claim 1, characterized in that, The acquisition of sintering equipment status information includes: Obtain initial state parameter information; the initial state parameter information includes at least one initial state parameter; Based on the initial state parameter information, the state information of the sintering equipment is determined.

6. The method for assessing the health status of sintering equipment according to claim 5, characterized in that, The process of determining the sintering equipment status information based on the initial state parameter information includes: Based on the initial state parameter information, an initial state parameter type set is determined; the initial state parameter type set includes at least one parameter type corresponding to the initial state parameter. For any initial state parameter, determine whether the parameter type corresponding to the initial state parameter meets the processing conditions, and obtain the first judgment result; When the first judgment result indicates that the parameter type corresponding to the initial state parameter meets the processing conditions, the sintering equipment state parameter corresponding to the initial state parameter is obtained according to the initial state parameter and the preset data processing rules.

7. A health status assessment device for sintering equipment, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the sintering equipment health status assessment method as described in any one of claims 1-6.

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