Method and device for evaluating antiskid performance of equipment

Abstract

The invention discloses an equipment antiskid performance evaluation method and device, and relates to the antiskid performance test related field, and the method comprises the steps: reading a preset evaluation dimension, carrying out the multi-dimensional characteristic collection of target equipment, and obtaining the target characteristic information; performing traversal analysis in an anti-skid device database to obtain a target initial anti-skid performance value of the target device; obtaining a target historical use record in a preset time, and extracting a first historical record; reading an anti-skid loss evaluation function, and performing loss analysis on the target initial anti-skid performance value to obtain a first anti-skid performance loss value; and adding the first anti-skid performance loss value, and subtracting the target initial anti-skid performance value to obtain a target actual anti-skid performance value. The technical problem that the evaluation result of the antiskid performance evaluation of the existing equipment is inaccurate is solved, and the technical effect of comprehensively and accurately evaluating the antiskid performance of the equipment under different conditions is achieved.

Description

Technical Field

[0001] The present application relates to the field of anti-skid performance testing, and in particular to a method and device for evaluating the anti-skid performance of equipment. Background Art

[0002] In modern industry, sports and daily life, the anti-slip performance of equipment plays a vital role in ensuring personnel safety, improving equipment efficiency and extending equipment life. At present, the common method for evaluating the anti-slip performance of equipment is laboratory testing, which is usually carried out under standard environmental conditions and evaluates the anti-slip performance of equipment by simulating various possible usage scenarios. However, this method often cannot fully simulate the complex environment and conditions in actual use, resulting in certain deviations in the evaluation results.

[0003] In the current related technologies, there is a technical problem in the evaluation of the anti-slip performance of equipment, which is that the evaluation results are inaccurate. Summary of the invention

[0004] The present application provides a method and device for evaluating the anti-skid performance of equipment, adopts the method of reading predetermined evaluation dimensions, collects multi-dimensional characteristics of target equipment, traverses and analyzes the anti-skid equipment database to obtain the target initial anti-skid performance value, combines the historical usage records of the target equipment at a predetermined time, uses an anti-skid loss evaluation function to perform a loss analysis on the target initial anti-skid performance value to obtain the anti-skid performance loss value, and obtains the target actual anti-skid performance value at a predetermined time by calculation, thereby achieving the technical effect of comprehensively and accurately evaluating the anti-skid performance of equipment under different conditions.

[0005] The present application provides a method for evaluating the anti-slip performance of equipment, comprising: Read a predetermined evaluation dimension, and collect multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain target characteristic information; traverse and analyze the target characteristic information in the anti-slip equipment database to obtain the target initial anti-slip performance value of the target equipment; obtain the target historical usage record of the target equipment at a predetermined time, and extract the first historical record in the target historical usage record, wherein the first historical record includes first historical usage environment information, first historical usage condition information and first historical usage scenario information; read an anti-slip loss evaluation function, and perform a loss analysis on the target initial anti-slip performance value in combination with the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information to obtain a first anti-slip performance loss value; add the first anti-slip performance loss value to obtain a target anti-slip performance total loss value, and subtract it from the target initial anti-slip performance value to obtain the target actual anti-slip performance value at the predetermined time.

[0006] In a possible implementation, the following processing is performed: The predetermined evaluation dimensions include material dimensions and design dimensions, wherein the material dimensions include friction coefficient, hardness, roughness and water absorption, and the design dimensions include structural pattern depth and structural pattern area ratio.

[0007] In a possible implementation, the following processing is performed: A first equipment data set of a first equipment in the anti-slip equipment database is randomly extracted, wherein the first equipment data set includes first equipment characteristic information and a first equipment anti-slip performance value; a predetermined labeling strategy is read, and based on the predetermined labeling strategy, the target characteristic information and the first equipment characteristic information are labeled in sequence to obtain a target characteristic label vector and a first equipment characteristic label vector, respectively; the target characteristic label vector is compared with the first equipment characteristic label vector to obtain a first comparison result; when the first comparison result meets the traversal matching constraint, the first equipment anti-slip performance value is used as the target initial anti-slip performance value.

[0008] In a possible implementation, the following processing is performed: Extracting first historical usage environment characteristic parameters from the first historical usage environment information based on predetermined environmental characteristics; extracting first historical usage condition characteristic parameters from the first historical usage condition information based on predetermined condition characteristics; extracting first historical usage scene characteristic parameters from the first historical usage scene information based on predetermined scene characteristics; performing loss analysis on the first historical usage environment characteristic parameters, the first historical usage condition characteristic parameters and the first historical usage scene characteristic parameters according to the anti-skid loss evaluation function to obtain the first anti-skid performance loss value; wherein the predetermined environmental characteristics include temperature, humidity and air quality index, the predetermined condition characteristics include load, friction speed and usage frequency, and the predetermined scene characteristics include scene product types and quantities.

[0009] In a possible implementation, the following processing is performed: The expression of the anti-skid loss evaluation function is as follows: ; in, Characterizing the Target Device The first anti-slip performance loss value, Characterizing the target initial anti-slip performance value, Characterizing the effect of the first historical usage environment characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage environment characteristic parameter The use environment characteristic parameters, Characterizing the Environmental characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage condition characteristic parameter on the target initial anti-skid performance value The loss rate caused, Characterizing the first historical usage condition characteristic parameter The usage condition characteristic parameters, Characterizing the Use condition characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage scenario characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage scenario characteristic parameter The usage scenario characteristic parameters, Characterizing the Use scenario characteristic parameters The weight coefficient of is an integer greater than or equal to 2, and and are the environmental loss coefficient, conditional loss coefficient, and scenario loss coefficient, respectively, and .

[0010] In a possible implementation, the following processing is performed: A training data group is formed, wherein the training data group includes training use environment information, training use condition information, training use scenario information, and training anti-slip performance loss rate; machine learning and verification are performed on the training data group to obtain a loss rate prediction model; the first historical use environment information, the first historical use condition information, and the first historical use scenario information of the target equipment are analyzed by the loss rate prediction model to obtain a first predicted loss rate; and the first anti-slip performance loss value is verified in combination with the first predicted loss rate and the target initial anti-slip performance value.

[0011] In a possible implementation, the following processing is performed: Obtain a second target actual anti-skid performance value at a second scheduled time; generate an anti-skid performance time series based on a first corresponding relationship between the scheduled time and the target actual anti-skid performance value and a second corresponding relationship between the second scheduled time and the second target actual anti-skid performance value; and perform an anti-skid warning for the target equipment through a trend analysis of the anti-skid performance time series.

[0012] The present application also provides a device for evaluating the anti-slip performance of equipment, comprising: a target characteristic information collection module, the target characteristic information collection module is used to read a predetermined evaluation dimension, and based on the predetermined evaluation dimension, perform multi-dimensional characteristic collection on the target equipment to obtain target characteristic information; a target initial anti-skid performance value acquisition module, the target initial anti-skid performance value acquisition module is used to traverse and analyze the target characteristic information in the anti-skid equipment database to obtain the target initial anti-skid performance value of the target equipment; a first history record extraction module, the first history record extraction module is used to obtain the target history usage record of the target equipment at a predetermined time, and extract the first history record in the target history usage record, the first history record including the first history record a target actual anti-skid performance value acquisition module, the target actual anti-skid performance value acquisition module being used to add the first anti-skid performance loss value to obtain a target anti-skid performance total value, and subtract it from the target initial anti-skid performance value to obtain the target actual anti-skid performance value at the predetermined time.

[0013] The anti-skid performance evaluation method and device of an equipment proposed in the present application first reads a predetermined evaluation dimension, and collects multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain target characteristic information, then traverses and analyzes the target characteristic information in the anti-skid equipment database to obtain a target initial anti-skid performance value of the target equipment, and then obtains the target historical usage record of the target equipment at a predetermined time, and extracts the first historical record in the target historical usage record, the first historical record including the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information, then reads the anti-skid loss evaluation function, and performs a loss analysis on the target initial anti-skid performance value in combination with the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information to obtain a first anti-skid performance loss value, finally adds the first anti-skid performance loss value to obtain a target anti-skid performance total loss value, and subtracts it from the target initial anti-skid performance value to obtain the target actual anti-skid performance value at the predetermined time, thereby achieving a technical effect of comprehensively and accurately evaluating the anti-skid performance of the equipment under different conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic flow chart of a method for evaluating the anti-slip performance of a device provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of the structure of an anti-slip performance evaluation device for equipment provided in an embodiment of the present application.

[0017] Description of reference numerals: target characteristic information collecting module 10 , target initial anti-skid performance value acquiring module 20 , first historical record extracting module 30 , loss analyzing module 40 , target actual anti-skid performance value acquiring module 50 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a method for evaluating the anti-slip performance of equipment, such as Figure 1 As shown, the method includes: Step S100, read the predetermined evaluation dimension, and collect multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain target characteristic information. Specifically, before the evaluation begins, according to the characteristics and usage scenarios of the target equipment, read the anti-slip performance related dimensions to be evaluated from the evaluation standards or documents, including but not limited to material type (rubber, plastic, metal, etc.), surface roughness, hardness, size, shape, weight, design structure, etc. According to the dimensions to be evaluated, prepare corresponding measuring tools and materials, such as hardness testers, roughness testers, dimension measuring tools, sample cutting tools, etc., and measure the target equipment in detail. For example, use a roughness tester to measure the surface roughness of the target equipment, use a hardness tester to measure the hardness of the target equipment, and use a dimension measuring tool to measure the size of the target equipment. The collected multi-dimensional characteristic information of the target equipment is sorted to obtain the target characteristic information.

[0022] In a possible implementation, step S100 further includes step S110, wherein the predetermined evaluation dimension includes material dimension and design dimension, wherein the material dimension includes friction coefficient, hardness, roughness and water absorption, and the design dimension includes structural pattern depth and structural pattern area ratio. Specifically, the dimensions that need to be evaluated include material dimension and design dimension. For the material dimension, the specific characteristic information that needs to be collected includes friction coefficient, hardness, roughness and water absorption, wherein the friction coefficient of the target equipment is measured using testing equipment and methods such as a friction coefficient tester, and the friction coefficient reflects the friction properties when the surface of the target equipment contacts another object, and has a direct impact on the anti-slip performance; the hardness of the target equipment is measured using a hardness tester (such as a Rockwell hardness tester, a Brinell hardness tester, etc.), and the hardness determines the wear resistance and resistance to pressure of the target equipment; the roughness of the surface of the target equipment is measured using a roughness measuring instrument (such as a profilometer), and an increase in roughness can increase friction, thereby improving the anti-slip performance; the water absorption of the target equipment is evaluated by a water absorption test, and the water absorption will affect the anti-slip performance of the target equipment in a humid environment. For the design dimension, the specific characteristic information that needs to be collected includes the depth of the structural pattern and the ratio of the structural pattern area. The depth of the structural pattern in the design of the target equipment is measured using measuring tools such as a vernier caliper or a microscope. The depth of the pattern can affect the roughness of the contact surface and the drainage performance. The ratio of the total area occupied by the structural pattern to the overall surface area is calculated using image analysis software or manual measurement. This ratio reflects the density of the pattern design and has an important impact on the anti-slip performance. This implementation method combines multiple dimensions of materials and design when evaluating the anti-slip performance. The characteristic information under each dimension reflects the anti-slip performance of the target equipment from different angles, achieving the technical effect of collecting comprehensive anti-slip characteristics of the target equipment.

[0023] Step S200, traverse and analyze the target characteristic information in the anti-skid equipment database to obtain the target initial anti-skid performance value of the target equipment. Specifically, the anti-skid equipment database is a database system that stores various equipment characteristic information and corresponding anti-skid performance values, which is used to provide a reference and comparison platform for evaluators to quickly obtain anti-skid performance data of similar equipment. The collected multi-dimensional characteristic information of the target equipment is imported into the anti-skid equipment database, or the query conditions used when searching in the anti-skid equipment database are prepared, and the database query function is used to search and traverse the anti-skid equipment database based on the target characteristic information. During the traversal process, the entries in the anti-skid equipment database are compared and matched with the target characteristic information. According to the preset matching rules and thresholds, the data entries closest to the target equipment characteristics are found from the traversal results. If there are multiple matching items, they can be sorted and filtered according to factors such as matching degree and data quality. The initial anti-skid performance value of the target equipment is extracted from the selected data entry, and the target initial anti-skid performance value is obtained based on the anti-skid performance data of similar equipment under the same or similar conditions.

[0024] In a possible implementation, step S200 further includes step S210, randomly extracting a first equipment data set of a first equipment in the anti-slip equipment database, wherein the first equipment data set includes first equipment characteristic information and the anti-slip performance value of the first equipment. Specifically, a piece of equipment is randomly selected from the anti-slip equipment database as the first equipment, and the first equipment data set of the first equipment is extracted, including the characteristic information of the first equipment and its corresponding anti-slip performance value. Step S220, reading a predetermined labeling strategy, and labeling the target characteristic information and the first equipment characteristic information in turn based on the predetermined labeling strategy, to obtain a target characteristic label vector and a first equipment characteristic label vector respectively. Specifically, a predetermined labeling strategy is read, wherein the labeling strategy is a method or rule for converting characteristic information into a label vector. Using the labeling strategy, the characteristic information of the target equipment and the characteristic information of the first equipment are labeled, that is, these characteristic information are converted into a vector form. Step S230, comparing the target characteristic label vector with the first equipment characteristic label vector to obtain a first comparison result. Specifically, a similarity or distance measurement method (such as cosine similarity, Euclidean distance, etc.) is used to compare the target characteristic label vector and the first equipment characteristic label vector to obtain a first comparison result, which reflects the similarity between the two label vectors. Step S240: When the first comparison result meets the traversal matching constraint, the anti-slip performance value of the first equipment is used as the target initial anti-slip performance value. Specifically, a traversal matching constraint is set, such as a similarity threshold. When the first comparison result (i.e., the similarity) reaches or exceeds this threshold, it is considered that the first equipment and the target equipment are very similar in characteristics. In this case, the anti-slip performance value of the first equipment is used as the initial anti-slip performance value of the target equipment. This implementation method effectively searches for equipment similar to the target equipment in the anti-slip equipment database through labeling processing and similarity comparison, thereby achieving the technical effect of improving the efficiency and accuracy of obtaining the target initial anti-slip performance value.

[0025] Step S300, obtaining the target historical usage record of the target equipment at a predetermined time, and extracting the first historical record in the target historical usage record, wherein the first historical record includes the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information. Specifically, the predetermined time refers to the specific time when the anti-slip performance of the target equipment is evaluated, such as June 20, 2024. The target historical usage record refers to the detailed information record when the target equipment is used within a preset time range before the predetermined time based on the predetermined time, including the use time, use location, user, use method, etc., wherein the preset time range is a time period interval, such as the past few weeks or months, etc. By querying sources such as databases, log files, and usage reports, the historical usage records of the target equipment within the preset time range are obtained, and the obtained target historical usage records are sorted so that each target historical usage record contains complete information and has a unified format. From the sorted target historical usage records, any historical record is extracted as the starting point of the analysis, namely the first historical record, which contains the information of one use of the target equipment within the preset time range. The first historical record is analyzed in detail to extract the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information. The first historical usage environment information is information related to the usage environment described in the first historical record, including temperature, humidity, ground conditions, etc.; the first historical usage condition information is information related to the usage conditions described in the first historical record, including load size, speed, frequency, etc.; the first historical usage scenario information is information related to the usage scenario described in the first historical record, including usage location, usage purpose, etc.

[0026] Step S400, read the anti-skid loss evaluation function, and analyze the loss of the target initial anti-skid performance value in combination with the first historical use environment information, the first historical use condition information and the first historical use scenario information to obtain the first anti-skid performance loss value. Specifically, the anti-skid loss evaluation function is a mathematical model or algorithm for estimating the loss of the anti-skid performance of the target equipment due to changes in the use environment, conditions and scenarios. It is established based on experimental data, theoretical analysis and expert experience, and can reflect the degree of influence of different factors on the anti-skid performance. Read the anti-skid loss evaluation function from the database or file storing the anti-skid loss evaluation function, convert the first historical use environment information, the first historical use condition information and the first historical use scenario information into units or adjust the format, and organize them into the input parameters required by the anti-skid loss evaluation function. Input the organized input parameters into the anti-skid loss evaluation function, and the anti-skid loss evaluation function calculates the anti-skid performance loss value of the target equipment under specific historical use conditions according to these parameters and the internal algorithm, that is, the first anti-skid performance loss value, which represents the degree of anti-skid performance loss of the target equipment in the first historical record.

[0027] In a possible implementation, step S400 further includes step S410, extracting the first historical use environment characteristic parameter in the first historical use environment information based on the predetermined environment characteristic, extracting the first historical use condition characteristic parameter in the first historical use condition information based on the predetermined condition characteristic, and extracting the first historical use scene characteristic parameter in the first historical use scene information based on the predetermined scene characteristic; wherein step S410 further includes step S411, the predetermined environment characteristic includes temperature, humidity and air quality index, the predetermined condition characteristic includes load, friction speed and use frequency, and the predetermined scene characteristic includes the type and quantity of scene products. Specifically, the temperature, humidity and air quality index in the predetermined environment characteristic represent the influence of the external environment on the anti-slip performance. For example, low temperature will cause the material to harden and affect the anti-slip performance; high humidity will cause the surface to be wet and increase the risk of slipping; the air quality index indirectly reflects the concentration of pollutants in the environment, and these pollutants will have a corrosive effect on the anti-slip material. The load, friction speed and use frequency in the predetermined condition characteristic represent the conditions that the target equipment is subjected to during use. The size of the load will affect the pressure distribution between the anti-slip material and the contact surface; the friction speed will affect the generation of frictional heat, and thus affect the anti-slip performance; the frequency of use reflects the aging rate of the anti-slip material. The types and quantities of scene products in the predetermined scene features describe the specific scene in which the target equipment is located. For example, in a factory workshop, there are products such as oil stains and water stains, which will affect the anti-slip performance. Read the first historical usage environment information, the first historical usage condition information, and the first historical usage scene information, and extract corresponding feature parameters from these information according to the predetermined feature classification.

[0028] Step S420, according to the anti-skid loss evaluation function, loss analysis is performed on the first historical use environment characteristic parameter, the first historical use condition characteristic parameter and the first historical use scenario characteristic parameter to obtain the first anti-skid performance loss value. Specifically, the anti-skid loss evaluation function is loaded, and the extracted characteristic parameters are used as inputs to the anti-skid loss evaluation function. The anti-skid loss evaluation function is calculated according to the input characteristic parameters and outputs the first anti-skid performance loss value. The higher the first anti-skid performance loss value, the more serious the anti-skid performance is reduced. This implementation method achieves the technical effect of obtaining comprehensive and accurate evaluation results by extracting key characteristic parameters.

[0029] In a possible implementation, step S420 further includes step S421, and the anti-skid loss evaluation function is expressed as follows: ; in, Characterizing the Target Device The first anti-slip performance loss value, Characterizing the target initial anti-slip performance value, Characterizing the effect of the first historical usage environment characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage environment characteristic parameter The use environment characteristic parameters, Characterizing the Environmental characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage condition characteristic parameter on the target initial anti-skid performance value The loss rate caused, Characterizing the first historical usage condition characteristic parameter The usage condition characteristic parameters, Characterizing the Use condition characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage scenario characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage scenario characteristic parameter The usage scenario characteristic parameters, Characterizing the Use scenario characteristic parameters The weight coefficient of is an integer greater than or equal to 2, and and are the environmental loss coefficient, conditional loss coefficient, and scenario loss coefficient, respectively, and This implementation method constructs a specific anti-skid loss evaluation function and comprehensively analyzes the impact of multiple aspects on the anti-skid performance, thereby achieving a technical effect of more comprehensively and accurately evaluating the anti-skid performance loss of the target equipment.

[0030] In a possible implementation, step S400 further includes step S430, forming a training data group, the training data group including training use environment information, training use condition information, training use scenario information and training anti-skid performance loss rate. Specifically, the training data is collected from various sources (such as databases, files, experimental reports, etc.), and the collected data is cleaned and preprocessed, including removing erroneous data, filling missing values, converting data formats, etc. The cleaned data is organized according to the use environment information, use condition information, use scenario information and anti-skid performance loss rate to form a training data group, which is a data set for training a machine learning model, including input features (use environment information, use condition information, use scenario information) and corresponding output labels (anti-skid performance loss rate). Among them, the training use environment information is data describing the use environment characteristics in the training data, such as temperature, humidity, ground material, etc.; the training use condition information is data describing the use condition characteristics in the training data, such as use time, use frequency, load size, etc.; the training use scenario information is data describing the use scenario characteristics in the training data, such as sports type, venue type, personnel type, etc.; the training anti-skid performance loss rate is the anti-skid performance loss rate data corresponding to the training use environment information, the training use condition information and the training use scenario information. Step S440, the training data group is machine-learned and tested to obtain a loss rate prediction model. Specifically, based on a machine learning algorithm, such as a neural network, a decision tree, a random forest, etc., the training data group is used to train the machine learning algorithm to obtain a loss rate prediction model. Prepare a verification data group, the verification data group is different from the training data group but has similar characteristics, and the verification data group is used to test the loss rate prediction model to evaluate the prediction accuracy, recall rate, F1 value and other indicators of the loss rate prediction model. According to the test results, adjust the model parameters or select other algorithms for training until the performance requirements are met. Step S450, analyzing the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information of the target equipment through the loss rate prediction model to obtain a first predicted loss rate. Specifically, preprocessing the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information of the target equipment to meet the input requirements of the loss rate prediction model, inputting the preprocessed information into the loss rate prediction model to obtain the first predicted loss rate output by the loss rate prediction model. Step S460, verifying the first anti-skid performance loss value in combination with the first predicted loss rate and the target initial anti-skid performance value. Specifically, using the first predicted loss rate and the target initial anti-skid performance value to calculate a predicted anti-skid performance loss value, comparing the predicted anti-skid performance loss value with the first anti-skid performance loss value, and verifying the reliability of the first anti-skid performance loss value based on the comparison result.For example, if the verification result meets certain conditions (such as the error is within an acceptable range), the first anti-skid performance loss value is considered reliable; otherwise, the calculation method of the anti-skid performance loss value needs to be re-evaluated or adjusted. This implementation method constructs a loss rate prediction model through machine learning methods, and verifies the calculated anti-skid performance loss value through the predicted loss rate, achieving the technical effect of improving the accuracy and reliability of the anti-skid performance loss value evaluation.

[0031] Step S500, add the first anti-skid performance loss value to obtain the target anti-skid performance loss total value, and subtract it from the target initial anti-skid performance value to obtain the target actual anti-skid performance value at the predetermined time. Specifically, the anti-skid performance loss value corresponding to each historical record within the preset time range is accumulated, and the result of the accumulation is the target anti-skid performance loss total value, which represents the accumulated anti-skid performance loss of the target equipment within the preset time range due to changes in the use environment, conditions and scenes. The target initial anti-skid performance value is subtracted from the target anti-skid performance loss total value, and the result of the subtraction operation is the target actual anti-skid performance value of the target equipment at the predetermined time, which reflects the current anti-skid performance state of the target equipment after combining the historical use records. The embodiment of the present application adopts technical means such as reading predetermined evaluation dimensions, collecting multi-dimensional characteristics of target equipment, traversing and analyzing the anti-slip equipment database to obtain the target initial anti-slip performance value, combining the historical usage records of the target equipment at a predetermined time, and using the anti-slip loss evaluation function to perform loss analysis on the target initial anti-slip performance value to obtain the anti-slip performance loss value, and obtaining the target actual anti-slip performance value at a predetermined time by calculation, thereby achieving the technical effect of comprehensively and accurately evaluating the anti-slip performance of equipment under different conditions.

[0032] In a possible implementation, step S500 further includes step S510, obtaining a second target actual anti-skid performance value at a second predetermined time. Specifically, the second predetermined time is a time different from the predetermined time, used to track the change in the anti-skid performance of the target equipment, and the second target actual anti-skid performance value at the second predetermined time is obtained by the same method as the predetermined time. Step S520, generating an anti-skid performance time series according to a first correspondence between the predetermined time and the target actual anti-skid performance value, and a second correspondence between the second predetermined time and the second target actual anti-skid performance value. Specifically, two time points (predetermined time and second predetermined time) and their corresponding actual anti-skid performance values ​​(target actual anti-skid performance value and second target actual anti-skid performance value) are determined, and a time-actual anti-skid performance value relationship curve or sequence is constructed using these two time points, i.e., an anti-skid performance time series. Step S530, performing an anti-skid warning of the target equipment through trend analysis of the anti-skid performance time series. Specifically, statistical analysis or machine learning methods are used to perform trend analysis on the anti-skid performance time series, that is, to study the trend of actual anti-skid performance values ​​over time, and predict the actual anti-skid performance changes of the target equipment in the future based on the analysis results. If the prediction results show that the actual anti-skid performance will continue to decline or fall below the safety threshold, the anti-skid warning mechanism is triggered and a warning message is sent to relevant personnel so that timely measures can be taken to prevent accidents. This implementation method predicts the future anti-skid performance of the target equipment by constructing an anti-skid performance time series for trend analysis, achieving the technical effect of discovering potential anti-skid problems in advance and preventing accidents caused by the decline in anti-skid performance.

[0033] In the above, refer to Figure 1 The present invention describes in detail a method for evaluating the anti-slip performance of a device according to an embodiment of the present invention. Figure 2 A device for evaluating the anti-slip performance of equipment according to an embodiment of the present invention is described.

[0034] An anti-skid performance evaluation device for equipment according to an embodiment of the present invention is used to solve the technical problem of inaccurate evaluation results in the anti-skid performance evaluation of existing equipment, and achieve the technical effect of comprehensively and accurately evaluating the anti-skid performance of equipment under different conditions. An anti-skid performance evaluation device for equipment includes: a target characteristic information collection module 10, a target initial anti-skid performance value acquisition module 20, a first historical record extraction module 30, a loss analysis module 40, and a target actual anti-skid performance value acquisition module 50.

[0035] The target characteristic information collection module 10 is used to read the predetermined evaluation dimension, and collect multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain the target characteristic information; the target initial anti-skid performance value acquisition module 20 is used to traverse and analyze the target characteristic information in the anti-skid equipment database to obtain the target initial anti-skid performance value of the target equipment; the first history record extraction module 30 is used to obtain the target historical usage record of the target equipment at a predetermined time, and extract the first historical record in the target historical usage record, wherein the first historical record includes the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information; the loss analysis module 40 is used to read the anti-skid loss evaluation function, and perform a loss analysis on the target initial anti-skid performance value in combination with the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information to obtain the first anti-skid performance loss value; the target actual anti-skid performance value acquisition module 50 is used to add the first anti-skid performance loss value to obtain the target anti-skid performance total loss value, and subtract it from the target initial anti-skid performance value to obtain the target actual anti-skid performance value at the predetermined time.

[0036] The specific configuration of the target characteristic information collection module 10 will be described in detail below. As described above, the target characteristic information collection module 10 may further include: a predetermined evaluation dimension construction unit for the predetermined evaluation dimension including a material dimension and a design dimension, wherein the material dimension includes friction coefficient, hardness, roughness and water absorption, and the design dimension includes a structural pattern depth and a structural pattern area ratio.

[0037] The specific configuration of the target initial anti-skid performance value acquisition module 20 will be described in detail below. As described above, the target initial anti-skid performance value acquisition module 20 may further include: a first equipment data set extraction unit is used to randomly extract a first equipment data set of a first equipment in the anti-skid equipment database, wherein the first equipment data set includes first equipment characteristic information and first equipment anti-skid performance value; a labeling processing unit is used to read a predetermined labeling strategy, and label the target characteristic information and the first equipment characteristic information in turn based on the predetermined labeling strategy to obtain a target characteristic label vector and a first equipment characteristic label vector respectively; a comparison unit is used to compare the target characteristic label vector with the first equipment characteristic label vector to obtain a first comparison result; and a target initial anti-skid performance value generation unit is used to use the first equipment anti-skid performance value as the target initial anti-skid performance value when the first comparison result meets the traversal matching constraint.

[0038] The specific configuration of the loss analysis module 40 will be described in detail below. As described above, the loss analysis module 40 may further include: a feature parameter extraction unit for extracting the first historical use environment feature parameter in the first historical use environment information based on a predetermined environment feature, extracting the first historical use condition feature parameter in the first historical use condition information based on a predetermined condition feature, and extracting the first historical use scene feature parameter in the first historical use scene information based on a predetermined scene feature; a first anti-skid performance loss value calculation unit for performing loss analysis on the first historical use environment feature parameter, the first historical use condition feature parameter, and the first historical use scene feature parameter according to the anti-skid loss evaluation function to obtain the first anti-skid performance loss value; wherein the feature parameter extraction unit further includes: a predetermined feature construction subunit for the predetermined environment feature including temperature, humidity, and air quality index, the predetermined condition feature including load, friction speed, and use frequency, and the predetermined scene feature including the type and quantity of scene products.

[0039] The first anti-skid performance loss value calculation unit may further include: an anti-skid loss evaluation function construction subunit for expressing the anti-skid loss evaluation function as follows: ;in, Characterizing the Target Device The first anti-slip performance loss value, Characterizing the target initial anti-slip performance value, Characterizing the effect of the first historical usage environment characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage environment characteristic parameter The use environment characteristic parameters, Characterizing the Environmental characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage condition characteristic parameter on the target initial anti-skid performance value The loss rate caused, Characterizing the first historical usage condition characteristic parameter The usage condition characteristic parameters, Characterizing the Use condition characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage scenario characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage scenario characteristic parameter The usage scenario characteristic parameters, Characterizing the Use scenario characteristic parameters The weight coefficient of is an integer greater than or equal to 2, and and are the environmental loss coefficient, conditional loss coefficient, and scenario loss coefficient, respectively, and .

[0040] Among them, the loss analysis module 40 may further include: a training data group forming unit for forming a training data group, the training data group including training usage environment information, training usage condition information, training usage scenario information and training anti-slip performance loss rate; a machine learning unit for performing machine learning and verification on the training data group to obtain a loss rate prediction model; a first predicted loss rate output unit for analyzing the first historical usage environment information, the first historical usage condition information and the first historical usage scenario information of the target equipment through the loss rate prediction model to obtain a first predicted loss rate; a verification unit for verifying the first anti-slip performance loss value in combination with the first predicted loss rate and the target initial anti-slip performance value.

[0041] The specific configuration of the target actual anti-skid performance value acquisition module 50 will be described in detail below. As described above, the target actual anti-skid performance value acquisition module 50 may further include: a second target actual anti-skid performance value acquisition unit for acquiring a second target actual anti-skid performance value at a second predetermined time; an anti-skid performance time series generation unit for generating an anti-skid performance time series based on a first correspondence between the predetermined time and the target actual anti-skid performance value and a second correspondence between the second predetermined time and the second target actual anti-skid performance value; and an anti-skid warning unit for performing an anti-skid warning of the target equipment through a trend analysis of the anti-skid performance time series.

[0042] The anti-skid performance evaluation device for equipment provided by an embodiment of the present invention can execute the anti-skid performance evaluation method for equipment provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0043] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0044] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for evaluating the anti-slip performance of equipment, characterized in that: include: Reading a predetermined evaluation dimension, and collecting multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain target characteristic information; traversing and analyzing the target characteristic information in the anti-slip equipment database to obtain the target initial anti-slip performance value of the target equipment; Acquire a target historical usage record of the target device within a predetermined time, and extract a first historical record from the target historical usage record, wherein the first historical record includes first historical usage environment information, first historical usage condition information, and first historical usage scenario information; reading an anti-skid loss evaluation function, and performing a loss analysis on the target initial anti-skid performance value in combination with the first historical usage environment information, the first historical usage condition information, and the first historical usage scenario information to obtain a first anti-skid performance loss value; The first anti-skid performance loss value is added to obtain a target anti-skid performance loss total value, and the target initial anti-skid performance value is subtracted from the target anti-skid performance value to obtain a target actual anti-skid performance value at the predetermined time.

2. The method for evaluating the anti-slip performance of equipment according to claim 1, characterized in that: The predetermined evaluation dimensions include material dimensions and design dimensions, wherein the material dimensions include friction coefficient, hardness, roughness and water absorption, and the design dimensions include structural pattern depth and structural pattern area ratio.

3. The method for evaluating the anti-slip performance of equipment according to claim 1, characterized in that: include: Randomly extracting a first equipment data set of a first equipment in the anti-slip equipment database, wherein the first equipment data set includes first equipment characteristic information and a first equipment anti-slip performance value; Reading a predetermined labeling strategy, and performing labeling processing on the target characteristic information and the first equipment characteristic information in sequence based on the predetermined labeling strategy, to obtain a target characteristic label vector and a first equipment characteristic label vector respectively; Comparing the target characteristic label vector with the first equipment characteristic label vector to obtain a first comparison result; When the first comparison result meets the traversal matching constraint, the first equipment anti-slip performance value is used as the target initial anti-slip performance value.

4. The method for evaluating the anti-slip performance of equipment according to claim 1, characterized in that: include: extracting a first historical usage environment characteristic parameter in the first historical usage environment information based on a predetermined environment characteristic; extracting a first historical usage condition feature parameter in the first historical usage condition information based on a predetermined condition feature; Extracting a first historical usage scenario feature parameter in the first historical usage scenario information based on a predetermined scenario feature; Performing a loss analysis on the first historical usage environment characteristic parameter, the first historical usage condition characteristic parameter, and the first historical usage scenario characteristic parameter according to the anti-skid loss evaluation function to obtain the first anti-skid performance loss value; Among them, the predetermined environmental characteristics include temperature, humidity and air quality index, the predetermined condition characteristics include load, friction speed and frequency of use, and the predetermined scene characteristics include the type and quantity of scene products.

5. The method for evaluating the anti-slip performance of equipment according to claim 4, characterized in that: The expression of the anti-skid loss evaluation function is as follows: ； in, Characterizing the Target Device The first anti-slip performance loss value, Characterizing the target initial anti-slip performance value, Characterizing the effect of the first historical usage environment characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage environment characteristic parameter The use environment characteristic parameters, Characterizing the Environmental characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage condition characteristic parameter on the target initial anti-skid performance value The loss rate caused Characterizing the first historical usage condition characteristic parameter The usage condition characteristic parameters, Characterizing the Use condition characteristic parameters The weight coefficient of , Characterizing the effect of the first historical usage scenario characteristic parameter on the target initial anti-slip performance value The loss rate caused, Characterizing the first historical usage scenario characteristic parameter The usage scenario characteristic parameters, Characterizing the Use scenario characteristic parameters The weight coefficient of is an integer greater than or equal to 2, and and are the environmental loss coefficient, conditional loss coefficient, and scenario loss coefficient, respectively, and .

6. The method for evaluating the anti-slip performance of equipment according to claim 1, characterized in that: Also includes: Establishing a training data set, wherein the training data set includes training use environment information, training use condition information, training use scenario information, and training anti-slip performance loss rate; Performing machine learning and testing on the training data set to obtain a loss rate prediction model; Analyzing the first historical usage environment information, the first historical usage condition information, and the first historical usage scenario information of the target equipment through the loss rate prediction model to obtain a first predicted loss rate; The first anti-skid performance loss value is verified in combination with the first predicted loss rate and the target initial anti-skid performance value.

7. The method for evaluating the anti-slip performance of equipment according to claim 1, characterized in that: Also includes: Obtaining a second target actual anti-slip performance value at a second predetermined time; generating an anti-skid performance time series according to a first corresponding relationship between the predetermined time and the target actual anti-skid performance value and a second corresponding relationship between the second predetermined time and the second target actual anti-skid performance value; The anti-skid warning of the target equipment is performed through the trend analysis of the anti-skid performance time series.

8. A device for evaluating the anti-slip performance of equipment, characterized in that: The device is used to implement the anti-slip performance evaluation method of a device according to any one of claims 1 to 7, and the device comprises: A target characteristic information collection module, the target characteristic information collection module is used to read a predetermined evaluation dimension, and collect multi-dimensional characteristics of the target equipment based on the predetermined evaluation dimension to obtain target characteristic information; a target initial anti-skid performance value acquisition module, the target initial anti-skid performance value acquisition module is used to traverse and analyze the target characteristic information in the anti-skid equipment database to obtain the target initial anti-skid performance value of the target equipment; A first history record extraction module, the first history record extraction module is used to obtain a target history usage record of the target equipment within a predetermined time, and extract a first history record from the target history usage record, the first history record including first history usage environment information, first history usage condition information and first history usage scenario information; a loss analysis module, the loss analysis module being used to read an anti-skid loss evaluation function, and to perform a loss analysis on the target initial anti-skid performance value in combination with the first historical usage environment information, the first historical usage condition information, and the first historical usage scenario information, to obtain a first anti-skid performance loss value; A target actual anti-skid performance value acquisition module is used to add the first anti-skid performance loss value to obtain a target anti-skid performance loss total value, and subtract it from the target initial anti-skid performance value to obtain the target actual anti-skid performance value at the predetermined time.

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