CN113052555A - Method and system for managing loss parts - Google Patents
Method and system for managing loss parts Download PDFInfo
- Publication number
- CN113052555A CN113052555A CN202110328392.4A CN202110328392A CN113052555A CN 113052555 A CN113052555 A CN 113052555A CN 202110328392 A CN202110328392 A CN 202110328392A CN 113052555 A CN113052555 A CN 113052555A
- Authority
- CN
- China
- Prior art keywords
- health degree
- loss
- lease
- data
- health
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 230000036541 health Effects 0.000 claims abstract description 277
- 230000008859 change Effects 0.000 claims abstract description 44
- 230000004044 response Effects 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims description 67
- 230000007613 environmental effect Effects 0.000 claims description 41
- 238000013210 evaluation model Methods 0.000 claims description 29
- 238000003062 neural network model Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 14
- 238000012790 confirmation Methods 0.000 claims description 14
- 238000012549 training Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 description 23
- 239000002184 metal Substances 0.000 description 8
- 238000012360 testing method Methods 0.000 description 6
- 239000003153 chemical reaction reagent Substances 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000002699 waste material Substances 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000005452 bending Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000003889 chemical engineering Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Finance (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Evolutionary Computation (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Geometry (AREA)
- Data Mining & Analysis (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method and a system for managing loss parts, wherein the method comprises the following steps: in response to the lease request, determining a part combination comprising a plurality of worn parts according to the lease request; if a lease ending message is received, acquiring the health degree of each loss part after the lease is ended; and determining the leasing cost of the part combination according to the change of the health degree of each worn part during the leasing period, the leasing period and the initial health degree. The method and the system for managing the loss parts, provided by the embodiment of the invention, have the advantages that the loss parts are managed based on the change of the health degree of each loss part during the lease period, the sharing of the loss parts can be realized in a lease mode, the transportation and purchase cost of customers can be reduced, the resources can be saved, and the management efficiency and the use efficiency of the loss parts can be improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a system for managing loss parts.
Background
For the loss parts used by the operation machinery such as the crane boom and the like, the existing method is mainly used for evaluating whether the parts are healthy or not by judging whether the difference between the parameters such as the natural vibration frequency and the deformation of the parts and the predetermined reference value is larger than the preset threshold value or not. However, the existing method can only qualitatively evaluate whether the parts are healthy or not, and is difficult to quantitatively evaluate.
For users of the crawler crane, in order to realize various working conditions, the users usually purchase lost parts such as the boom and the like, which brings about large purchase cost and transportation cost, resulting in resource waste. In addition, the existing method is difficult to quantitatively evaluate the health degree of the loss parts such as the crane boom and the like, so that the utilization rate of the parts is low, and resource waste exists.
Disclosure of Invention
The invention provides a method and a system for managing loss parts, which are used for solving the defect of resource waste of the loss parts in the prior art and realizing the efficient use of the loss parts.
The invention provides a method for managing loss parts, which comprises the following steps:
in response to a lease request, determining a part combination comprising a number of worn parts according to the lease request;
if a lease ending message is received, acquiring the health degree of each loss part after lease ending;
determining the leasing cost of the part combination according to the change of the health degree of each loss part during the leasing period, the leasing period and the initial health degree.
According to the method for managing the worn parts provided by the invention, the specific steps of acquiring the health degree of each worn part after the rental is finished comprise:
for each worn part, acquiring a first evaluation result of the health degree of the worn part under a non-working condition after leasing is finished based on a preset method;
acquiring the health degree of the worn parts after the leasing is finished based on the first evaluation result and/or the acquired second evaluation results;
and the second evaluation result is the evaluation result of the health degree of the worn parts obtained under the working condition during the leasing.
According to the method for managing the worn parts provided by the invention, if the rental end message is received, before the health degree of each worn part after the rental is obtained, the method further comprises the following steps:
obtaining each second evaluation result of each loss part;
the specific step of obtaining the second evaluation result of the loss component includes:
for each loss part, acquiring environmental data, working condition data and stress data of the loss part at a target moment under a working condition;
inputting environmental data, working condition data and stress data of the loss part at the target moment into a health degree evaluation model, and outputting the second evaluation result of the loss part at the target moment;
the health degree evaluation model is obtained by training based on the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the environmental data, the working condition data and the stress data of the part sample which are determined in advance.
According to the method for managing the worn components provided by the present invention, before the obtaining of the second evaluation result of each worn component, the method further includes:
analyzing the environmental data, the working condition data and the stress data of the part sample and the predetermined health degree corresponding to the environmental data, the working condition data and the stress data of the part sample according to a rough set theory to obtain a classification rule;
training a neural network model according to the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the predetermined environmental data, the working condition data and the stress data of the part sample to obtain the health degree evaluation model with the evaluation accuracy rate larger than a target threshold value;
wherein the neural network model is constructed according to the classification rule.
According to the method for managing the loss part provided by the invention, the stress data comprises: at least one of mechanical data, duration of operation data, and load.
According to the method for managing the worn parts provided by the invention, the specific step of determining the rental cost of the part combination according to the change of the health degree, the rental period and the initial health degree of each worn part during the rental period comprises the following steps:
for each loss part, acquiring the service time of each loss part at each health degree grade according to each second evaluation result of each loss part;
determining the lease cost of each loss part according to the service time and the initial health degree of each loss part at each health degree grade;
determining the lease cost of the part combination according to the lease cost of each loss part;
wherein the rental period is composed of the use time of each health degree grade.
According to the method for managing the worn parts provided by the invention, the specific step of acquiring the rental cost of each worn part according to the use time and the initial health degree of each worn part at each health degree level comprises the following steps:
determining the lease cost of each loss part at each health degree grade according to the use time and the initial health degree of each loss part at each health degree grade, and determining the health change cost corresponding to each change of the health degree grade to which the health degree of each loss part belongs;
and determining the leasing cost of each loss part according to the leasing cost of each loss part at each health degree grade and the health change cost.
According to the method for managing the worn parts provided by the invention, the specific step of determining the part combination comprising a plurality of worn parts according to the lease request comprises the following steps:
and determining the part combination based on the project condition, the working condition requirement, the load size and the lease period in the lease request.
According to the method for managing the worn parts provided by the invention, the specific steps of determining the part combination based on the project condition, the working condition requirement, the load size and the lease period in the lease request comprise:
determining a plurality of candidate combinations based on the project condition, the working condition requirement, the load size and the lease period in the lease request;
pushing the candidate combinations to a user terminal;
receiving confirmation information sent by a user terminal, and determining one candidate combination in the plurality of candidate combinations as the part combination based on the confirmation information;
wherein the candidate combination comprises a number of lossy components.
According to the method for managing the worn parts provided by the invention, before determining the part combination comprising a plurality of worn parts according to the lease request in response to the lease request, the method further comprises the following steps:
and determining each loss part in the target warehouse based on the type and the construction period of each project in the target area corresponding to the target warehouse.
The present invention also provides a system for managing a worn component, comprising:
the combination determining module is used for responding to a leasing request and determining a part combination comprising a plurality of loss parts according to the leasing request;
the health degree evaluation module is used for acquiring the health degree of each loss part after leasing is finished if a leasing finishing message is received;
and the sharing management module is used for determining the rental cost of the part combination according to the change of the health degree of each lost part during the rental period, the rental period and the initial health degree.
The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the above-mentioned wear part management methods when executing the computer program.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for wear part management as described in any one of the above.
The method and the system for managing the loss parts, provided by the invention, can be used for managing the loss parts based on the change of the health degree of each loss part during the lease period, can realize the sharing of the loss parts in a lease mode, can reduce the transportation and purchase cost of customers, can save resources, and can improve the management efficiency and the use efficiency of the loss parts.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a method for managing worn components provided by the present invention;
FIG. 2 is a schematic diagram of a wear part management system provided by the present invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the embodiments of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have specific orientations, be configured in specific orientations, and operate, and thus, should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, and not order.
In the description of the embodiments of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. Specific meanings of the above terms in the embodiments of the present invention can be understood in specific cases by those of ordinary skill in the art.
Fig. 1 is a schematic flow chart of a method for managing a worn component according to the present invention. The method for managing the worn components according to the embodiment of the present invention is described below with reference to fig. 1. As shown in fig. 1, the method includes: step 101, responding to a leasing request, and determining a part combination comprising a plurality of worn parts according to the leasing request.
A user input or a lease request sent through a user terminal is received.
The lease request may carry information required by the user. User requirements may include, but are not limited to, application project conditions, operating conditions requirements, load size, lease time, and the like.
After receiving the lease request, a plurality of part combinations matched with the user requirements can be generated according to the information of the user requirements and the information of each loss part in stock.
For example: under the condition that the loss part is the arm support, the heavy-load recommendation user rents the arm support with higher health degree, so that the safety is ensured; the lightly loaded recommended user rents the arm support with lower health degree, and the cost is reduced.
Several kinds refer to one or more.
Each component combination comprises a plurality of loss components.
Several, one or more.
The plurality of component combinations may be recommended to the user by a lease confirmation request carrying information using the plurality of component combinations.
If only one combination of the parts is generated, the renting confirmation information or the renting abandoning information input by the user or sent by the user terminal can be received; if the generated part combination is multiple, the user input or the confirmed lease information for confirming one part combination or the release lease information sent by the user terminal can be received.
After receiving the confirmed rental information, a rental order can be generated, and a plurality of worn parts included in the confirmed part combination are taken out of the warehouse for the user to use.
The user can also check the quotation and health degree of the stocked parts, the allocation cycle of the stockless parts and the like through the app or the webpage, freely select and allocate in the combination rule of the parts, and input or send a lease request carrying the information of the part combination through the user terminal. After receiving the lease request, determining a part combination comprising a plurality of worn parts according to the information of the part combination carried by the lease request, generating a lease order, and taking the plurality of worn parts comprised by the part combination out of the warehouse for the user to use.
For example, in the case that the loss component is an arm rest, the combination rule of the arm rest may include, but is not limited to: the arm head required for specific working conditions, specific length combinations of several types and the like.
And 102, if the lease ending message is received, acquiring the health degree of each loss part after the lease is ended.
Specifically, after the rental is finished, a rental finish message input by the user or sent through the user terminal, or a rental finish message input by the staff or sent through the terminal may be received.
After receiving the lease end message, the use of each worn component is ended, and the health degree of each worn component in this case can be acquired.
The health degree of each worn part after the rental can be acquired based on any one of an S-N metal stress fatigue analysis method, a method using a metal detector, reagent detection, appearance observation, and the like.
Such methods may include, but are not limited to, the use of metal detectors, reagent detection, or visual inspection.
And 103, determining the rental cost of the part combination according to the change of the health degree of each lost part during the rental period, the rental period and the initial health degree.
Wherein the initial health of the plurality of worn parts is obtained prior to receiving the lease request.
Specifically, the conventional management method for the shared device (such as a car, a bicycle, or a charger, etc.) generally determines the rental fee based on the length of the rental period.
In the embodiment of the invention, the leasing cost is determined and flexible charging is realized based on the leasing duration (namely the leasing period) and the change condition of the health degree of the worn parts during the leasing.
For example: the higher the initial health degree, the longer the rental time, or the greater the change in health degree before and after rental, the higher the rental fee.
For each worn part, the health of the worn part during the rental period can be determined based on the health of the worn part before and after the rental.
The change of the health degree of the worn parts during the leasing can include that the health degree grade before the leasing is higher than the health degree grade after the leasing.
The loss parts work in a severe environment for a long time, and the evaluation of the health degree of the loss parts is a key problem which is full of challenges and needs to be solved urgently, and is also a core technical problem for realizing the loss parts. Knowing the health degree of the worn parts, the method can take measures in a targeted manner to realize zero inventory and light inventory.
According to the method for managing the loss parts, provided by the embodiment of the invention, the user can rent the loss parts of the shared warehouse near the working point, and the loss parts do not need to be transported any more during transfer, but rent near the working point.
After a lease contract is signed with a user or a lease order is generated, estimating the loss degree of the loss parts according to the future workload, and collecting a certain proportion of fixed money; and after the leasing is finished, final evaluation is carried out, and the rest is collected.
Before leasing, that is, before receiving a lease request, the health of each worn component in the component assembly may be obtained as the initial health of the worn component.
For any worn part in the part combination, in the case where the worn part is leased before the worn part is leased, the initial health degree of the worn part obtained before lease may be the health degree of the worn part obtained after the last lease of the worn part is finished; when the worn component has not been leased before, the health degree of the worn component may be acquired as the initial health degree of the worn component by any of a S — N metal stress fatigue analysis method, a method using a metal detector, reagent detection, appearance observation, and the like.
The embodiment of the invention manages the loss parts based on the change of the health degree of each loss part during the lease period, can realize the sharing of the loss parts in a lease mode, can reduce the transportation and purchase cost of customers, can save resources, and can improve the management efficiency and the use efficiency of the loss parts.
Based on the content of any embodiment, the specific step of obtaining the health degree of each worn part after the rental includes: for each worn part, a first evaluation result of the health degree of the worn part under the non-working condition after leasing is finished is obtained based on a preset method.
Specifically, for each lossy member, after the operating condition is over, the lossy member is in the inoperative condition.
In this case, the degree of health of the worn component may be evaluated by a detection instrument (e.g., a metal detector or a reagent) and/or by visual observation, and a first evaluation result of the worn component may be obtained.
And acquiring the health degree of the worn parts after the leasing is finished based on the first evaluation result and/or the acquired second evaluation results.
And the second evaluation result is the evaluation result of the health degree of the worn parts obtained under the working condition during the leasing.
Specifically, after obtaining the first evaluation result, the first evaluation result and each evaluation result (i.e., the second evaluation result) of the health degree of the worn component under the operating condition are fused as the final health degree evaluation result (i.e., the health degree after the rental is finished).
During the lease period of each loss part, the health degree of the loss part under the working condition can be evaluated at each target time in the lease period, and a second evaluation result of the loss part at the target time can be obtained.
Optionally, after obtaining the first evaluation result, the first evaluation result may be used as the health of the worn component after the rental is finished.
Optionally, for each worn-out part, the health degree of the worn-out part after the rental is finished may be further obtained according to the second evaluation result of the worn-out part.
For example, the second evaluation results may be fused to obtain the health degree of the worn component after the rental is finished; the second evaluation result of the last target time may also be used as the health of the worn component after the rental is finished.
According to the embodiment of the invention, the health degree evaluation result of the loss part under the non-working condition after the working condition is finished is obtained by integrating the health degree evaluation result of the loss part under the non-working condition and the health degree evaluation result under the non-working condition, so that the health degree of the loss part can be more accurately evaluated.
Based on the content of any of the above embodiments, if the rental end message is received, before acquiring the health degree of each worn component after the rental end, the method further includes: and acquiring second evaluation results of each loss part.
Specifically, during the rental period of each worn component, the health of the worn component under the operating condition may be evaluated at each target time during the rental period, and a second evaluation result of the worn component at the target time may be obtained.
The target time may be each time and the use termination time determined according to a preset condition, may be each time and the use termination time at which any environmental data or any operating condition data changes, and may include only the use termination time.
The use termination time may refer to the end time of the last operation of the worn part during rental.
The respective times determined according to the preset conditions may be respective times determined according to a preset time interval or one time selected for each job.
And acquiring the health degree of each worn part at each target moment during the lease period, so that the change of the health degree of the worn parts can be acquired in time.
After the health degree of each worn part at each target moment in the rental period is obtained, the real-time health degree of the worn part at the target moment can be sent to the user terminal to inform the user.
It should be noted that, after obtaining the second evaluation result, the method may further include: and at each target moment in the lease period, if judging that the health degree of any lost part at the target moment is lower than a preset health degree threshold value, sending alarm information to a user terminal to prompt a user that the health degree of the lost part falls to disqualification.
The health degree threshold value can be set according to actual conditions, and specific values of the health degree threshold value are not limited in the embodiment of the invention.
For example, the health degree threshold may be set to 60, 50, 40, or the like, with the number of percentage points corresponding to the ratio of the remaining usage time to the theoretical usage life as the health degree.
The specific steps of obtaining the second evaluation result of the loss component part comprise: and for each loss part, acquiring environmental data, working condition data and stress data of the loss part at the target moment under the working condition.
And particularly, the environmental data is used for describing the environmental characteristics of the hoisting operation of the worn parts.
The environmental data may include at least one of temperature, humidity, wind speed of the work site, and data of whether the work site is a special area (e.g., a chemical region, a desert, a plateau, an island of a sea, etc.).
Depending on the actual situation, the current temperature, humidity, and wind speed may be real-time values at the time of work, or may be an average value (for example, a yearly average value or a monthly average value) of a certain time period to which the work time belongs at the work site.
The operating condition data indicates the combination condition of the loss components, and may include the use of only the main arm, the use of the main arm and the sub-arm, and the like.
And the stress data is used for describing the mechanical characteristics of the loss part in the process of carrying out lifting operation.
The operating condition data may include load, etc.
And inputting the environmental data, the working condition data and the stress data of the loss part at the target moment into the health degree evaluation model, and outputting a second evaluation result of the loss part at the target moment.
The health degree evaluation model is obtained after training based on the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the environmental data, the working condition data and the stress data of the predetermined part sample.
Specifically, the current environmental data, the current working condition data, and the current stress data of the loss component may be used as inputs of a health degree evaluation model, and the inputs may be input to the health degree evaluation model, and the health degree evaluation model may output an evaluation value of the health degree of the loss component as an evaluation result of the current health degree of the loss component.
In the embodiment of the invention, the health degree can be the remaining life or the grade of the remaining life.
In the embodiment of the invention, the residual service life can represent the ratio of the residual service time to the theoretical service life. The ratio may be directly used as the health degree, or the number of percentage points corresponding to the ratio may be used as the health degree, but the present invention is not limited to the above case.
For example, if the ratio of the remaining service time to the theoretical service life is 0.75, the health degree may be 0.75 or 75.
The level of the remaining life may be determined according to the section to which the remaining life belongs. Each grade of the remaining life corresponds to one section of the remaining life.
The health degree evaluation model may be a model constructed based on any one of machine learning methods such as a neural network and an artificial intelligence method.
It can be understood that, before step 102, the environmental data, the operating condition data, and the stress data of the component sample may be used as sample data, and the health degree corresponding to the environmental data, the operating condition data, and the stress data of the component sample may be used as a label corresponding to the sample data, so as to train the health degree evaluation model, and obtain a trained health degree evaluation model.
The health degree corresponding to the environmental data, the working condition data and the stress data of the part sample can be obtained by any one of methods such as an S-N metal stress fatigue analysis method, a metal detector, reagent detection, appearance observation and the like.
The trained health degree evaluation model can be used for evaluating the current health degree of the loss part.
The health degree corresponding to the environmental data, the working condition data and the stress data of the part sample refers to the health degree of the part sample when the environmental data and the working condition data of the part sample are obtained.
According to the embodiment of the invention, the current environmental data, the working condition data and the stress data of the loss part under the working condition are input into the health degree evaluation model, so that the evaluation result of the current health degree of the loss part under the working condition is obtained, the quantitative evaluation of the health degree of the loss part can be realized, and the health degree of the loss part can be more accurately evaluated.
Based on the content of any of the above embodiments, before obtaining the second evaluation result of each loss component, the method further includes: and analyzing the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the predetermined environmental data, the working condition data and the stress data of the part sample according to a rough set theory to obtain a classification rule.
Specifically, a rough set theory may be adopted, the component sample is used as an object, the environment data, the working condition data and the stress data of the component sample, and the health degree corresponding to the environment data, the working condition data and the stress data of the component sample are used as attributes of the object (wherein, the health degree is a decision attribute), and data analysis is performed on the environment data, the working condition data and the stress data of the component sample, and the health degree corresponding to the predetermined environment data, the working condition data and the stress data of the component sample.
The specific methods of the data analysis can include rule reduction, attribute reduction, kernel calculation and the like.
And performing data analysis on the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the predetermined environmental data, the working condition data and the stress data of the part sample, so as to obtain a minimum decision rule, wherein the obtained minimum decision rule can be used as a classification rule.
The classification rule can be used for classifying the health degree of the loss part, so that the health degree of the loss part can be evaluated.
And training the neural network model according to the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the predetermined environmental data, the working condition data and the stress data of the part sample to obtain a health degree evaluation model with evaluation accuracy rate greater than a target threshold value.
Wherein, the neural network model is constructed according to the classification rule.
Specifically, after the classification rule is obtained, the structure of the neural network model can be designed according to the classification rule, and the neural network model is constructed.
After the neural network model is constructed, the environment data, the working condition data and the stress data of the part sample can be used as sample data, the health degree corresponding to the environment data, the working condition data and the stress data of the part sample can be used as a label corresponding to the sample data, the neural network model is trained, and the trained neural network model is obtained and used as a health degree evaluation model to be checked.
It should be noted that the sample data may be divided into a training sample and a test sample according to a preset ratio.
For the test sample, to ensure the diversity and typicality of the sample, the weight distribution of the training sample and the test sample is calculated by adopting a rough set theory, and the test sample can be determined to have sufficient diversity if the weight distribution is basically consistent.
And comparing the decision attributes of the sample with the decision attributes predicted by the neural network model, and if the decision attributes are basically consistent and the deviation value is not large, determining that the neural network model is accurate and can be used for evaluating the health degree of the target loss part.
After training is finished, testing the health degree evaluation model to be tested based on the test sample, and obtaining the evaluation accuracy of the health degree evaluation model to be tested.
And if the evaluation accuracy of the health degree evaluation model to be tested is greater than a preset target threshold, taking the health degree evaluation model to be tested as the health degree evaluation model.
And if the evaluation accuracy of the health degree evaluation model to be tested is not greater than the preset target threshold, redesigning the structure of the neural network model based on the classification rules and training the redesigned neural network model according to the training samples until the health degree evaluation model to be tested with the evaluation accuracy greater than the preset target threshold is obtained and used as the health degree evaluation model.
According to the embodiment of the invention, the classification rule is obtained based on the rough set theory, the health degree evaluation model is constructed according to the classification rule, and the health degree of the loss part can be more accurately evaluated through the health degree evaluation model.
Based on the content of any one of the above embodiments, the stress data includes: at least one of mechanical data, duration of operation data, and load.
In particular, the mechanical data, the working duration data and the load can reflect the influence of the working on the residual life of the worn parts from a certain angle, and therefore, the mechanical data, the working duration data and the load can be used for evaluating the health degree of the worn parts. The mechanical data may include at least one of wind load data, tension data, pressure data, vibration data, and angle data.
The tension data may include the tension of the hoist rope.
The pressure data may include at least one of a pressure of the work machine against the ground and a pressure of the wear part bending.
The vibration data may include at least one of vibration data of the worn component and vibration data of the work machine body.
The angle data may include the angle between the lossy member rack and the horizontal, etc.
The job duration data may include at least one of a total number of jobs, a total job duration, a maximum duration of a single job, and an average duration of past jobs.
The force data can be acquired through the acquisition module.
The acquisition modules may include, but are not limited to, strain sensors, vibration sensors, angle sensors, pressure sensors, GPS locators, wind speed sensors, and the like. Through the sensor, the current environmental data and partial working condition data of the loss part can be acquired.
The tension sensor can be used for acquiring tension data such as tension of the lifting rope.
The vibration sensor can be used for acquiring vibration data of loss parts and/or vibration data of a crane body and the like.
The angle sensor can be used for collecting angle data such as an included angle between the loss part and a horizontal plane.
The pressure sensor can be used for collecting pressure data such as pressure of the working machine on the ground and/or pressure of bending of the loss part.
The GPS locator may be configured to collect geographic location information of the work site, so as to obtain environmental data such as temperature, humidity, and whether the work site is a special area (e.g., a chemical engineering area, a desert, a plateau, an island, etc.) according to the location information of the work site.
And the wind speed sensor can be used for acquiring wind speed data of a working place.
The acquisition module can also acquire the working condition type, the operation duration data, the load data and other data acquired by a vehicle body control unit arranged on the machine body of the operation machine.
The acquisition module can upload environmental data, working condition data and stress data acquired by the sensors and the vehicle body control unit to the cloud platform through the T-BOX.
According to the embodiment of the invention, at least one of the mechanical data, the working condition type, the working duration data and the load is used as the working condition data, so that the evaluation result of the current health degree of the loss part can be obtained by using the health degree evaluation model based on the current environmental data, the working condition data and the stress data of the loss part, the quantitative evaluation of the health degree of the loss part can be realized, and the health degree can be evaluated more accurately.
Based on the content of any of the above embodiments, the specific step of determining the rental cost of the component combination according to the change of the health degree of each worn component during the rental period, the rental period and the initial health degree includes: and acquiring the service time of each worn part at each health level according to the second evaluation result of each worn part.
Wherein the rental term is composed of the use time of each health degree grade.
The health of the worn component may be divided into a plurality of levels in advance.
For example, the health degrees may be represented by 100 to 95, 95 to 90, …, 65 to 60, respectively, in the number of percentage points corresponding to the ratio of the remaining use time to the theoretical use life.
According to the pre-divided grades and the health degree of each worn part at each target moment during the rental period, the independent use time of each health degree grade during the rental period of the worn part can be acquired, and the rental period of the worn part can be divided into the use time of each health degree grade.
If the number of the health degree grades of the worn parts during the leasing period is more than 1, the health degree of the worn parts during the leasing period is changed; otherwise, the health of the worn part is unchanged during the rental period.
And determining the rental fee of each worn part according to the use time and the initial health degree of each worn part at each health degree grade.
Specifically, for each worn component, the individual usage time for each health level of the worn component may be based on the component. And the use time period of the health degree grade is separately charged, so that the lease fee of the loss part is acquired.
The lease unit price corresponding to each health degree grade can be determined according to the initial health degree.
The rental unit price refers to the rental fee per unit time.
And determining the lease cost of the part combination according to the lease cost of each lost part.
Specifically, the rental fees of the component combinations can be obtained by adding the rental fees of the respective worn components included in the component combinations.
According to the embodiment of the invention, the lease cost of each loss part is determined according to the service time of each loss part in each health degree grade, the charge is more reasonable, so that the loss parts with different health degrees can be used in scenes with more adaptive health degrees, the service efficiency of the loss parts can be improved, and the resource waste can be reduced.
Based on the content of any of the above embodiments, the specific step of obtaining the rental cost of each worn part according to the usage time and the initial health degree of each worn part at each health degree level includes: and determining the lease cost of each loss part at each health degree grade according to the using time and the initial health degree of each loss part at each health degree grade, and determining the health change cost corresponding to each change of the health degree grade to which the health degree of each loss part belongs.
In particular, in addition to separate billing for the time period of use and the initial health for each health level, additional charges may be made for significant changes in health.
According to the use rule of the machine, the change of the health degree during the leasing period is reduced.
The obvious change of the health degree can be judged by the reduction of the health degree grade.
Every time the health grade decreases, a significant change in health can be considered.
The same or different health change costs may be set for different changes in the health rating.
Preferably, the higher the health grade before descent, the higher the health change cost of the health grade change; the lower the health grade before the decline, the less the health change cost of the health grade change.
For example: the health degree grade is reduced from the grade corresponding to 100-95 to the grade corresponding to 95-90, and the health change cost is the highest.
It is understood that the higher the health level, the higher the health; the lower the health level, the lower the health.
And determining the leasing cost of each loss part according to the leasing cost and the health change cost of each loss part at each health degree level.
Specifically, for each worn part, the rental cost of the worn part can be obtained by adding the rental cost of each health level of the worn part and the health change cost of the change of the health level of the previous time.
According to the embodiment of the invention, the health change cost is determined according to the change of the health degree grade, the lease cost of the loss parts is obtained according to the lease cost of each health degree grade and the health change cost of the change of the health degree grade at the previous time, the charge is more reasonable, the loss parts with different health degrees can be used in scenes with more adaptive health degrees, the use efficiency of the loss parts can be improved, and the resource waste can be reduced.
Based on the content of any of the above embodiments, the specific step of determining the component combination including the plurality of worn components according to the rental request includes: and determining the combination of the parts based on the project condition, the working condition requirement, the load size and the lease period in the lease request.
Specifically, the lease request may carry information such as engineering conditions, operating condition requirements, load size, lease period, and the like.
Based on the engineering condition, the working condition requirement, the load size and the lease period, the part combination matched with the engineering condition, the working condition requirement, the load size and the lease period can be determined according to the information of health degree, maximum load and the like of each loss part in stock.
The embodiment of the invention determines the combination of the parts based on the project condition, the working condition requirement, the load size and the lease period in the lease request, and can realize the matching of the health degree of the loss parts and the user requirement, thereby reducing the transportation and purchase cost of customers, saving resources, and improving the management efficiency and the use efficiency of the loss parts.
Based on the content of any one of the embodiments, the specific step of determining the combination of the parts based on the project condition, the working condition requirement, the load size and the lease period in the lease request includes: based on the project conditions, the working condition requirements, the load size and the lease period in the lease request, a plurality of candidate combinations are determined.
Wherein the candidate combination comprises a number of lossy components.
Specifically, based on the above-mentioned engineering condition, working condition demand, load size, and lease term, according to the health degree of each worn component in inventory, maximum load, and other information, several component combinations matching the above-mentioned engineering condition, working condition demand, load size, and lease term may be determined as several candidate combinations.
And pushing the candidate combinations to the user terminal.
Specifically, the lease acknowledgement request carrying the information of the candidate combinations may be sent to the user terminal.
And receiving confirmation information sent by the user terminal, and determining one candidate combination in the plurality of candidate combinations as a part combination based on the confirmation information.
Specifically, the user may determine one of the candidate combinations based on a lease confirmation request displayed on the user terminal, generate confirmation information, and transmit the confirmation information to the loss component management system.
Confirmation information indicating a candidate combination determined by the user.
After the lossy-component management system receives the confirmation information, a candidate combination determined by the user may be determined as a component combination based on the confirmation information.
According to the embodiment of the invention, the candidate combinations are pushed to the user, one of the candidate combinations is determined to be used as the part combination based on the operation of the user, and the matching of the part combination and the user requirement can be realized, so that the transportation and purchase cost of the client can be reduced, the resource can be saved, and the management efficiency and the use efficiency of the lost parts can be improved.
Based on the content of any of the above embodiments, before determining, in response to the lease request, a component combination including a plurality of worn components according to the lease request, the method further includes: and determining each loss part in the target warehouse based on the type and the construction period of each project in the target area corresponding to the target warehouse.
In particular, the target warehouse is used to store the worn parts. The target area corresponding to the target warehouse may be an area formed by points whose distance to the target warehouse is smaller than a preset distance threshold.
The distance threshold may be set according to practical situations, for example, 3-10 km. The embodiment of the present invention is not particularly limited to a specific value of the distance threshold.
The type and construction period of each project in the target area can be obtained.
And determining the type and health degree of each loss part to be stored in the target warehouse according to the type and construction period of each project in the target area, so that the type and health degree of each loss part can meet the requirements of the type and construction period of each project.
According to the embodiment of the invention, each loss part in the target warehouse is determined based on the type and the construction period of each project in the target area corresponding to the target warehouse, so that the management efficiency of the loss part and the use efficiency of the loss part can be improved.
The following describes the loss component management system provided by the present invention, and the loss component management system described below and the loss component management method described above may be referred to correspondingly.
Fig. 2 is a schematic structural diagram of a wear part management system according to the present invention. Based on the content of any of the above embodiments, as shown in fig. 2, the system includes: a combination determination module 201, a health assessment module 202, and a sharing management module 203, wherein:
a combination determining module 201, configured to determine, in response to the lease request, a component combination including a plurality of worn components according to the lease request;
the health degree evaluation module 202 is configured to, if a lease end message is received, obtain the health degree of each worn component after the lease is ended;
and the sharing management module 203 is used for determining the rental cost of the part combination according to the change of the health degree of each worn part during the rental period, the rental period and the initial health degree.
Specifically, the combination determination module 201, the health degree evaluation module 202, and the sharing management module 203 are electrically connected in sequence.
The combination determination module 201 may receive a lease request input by a user or transmitted through a user terminal; after receiving the lease request, a plurality of part combinations matched with the user requirements can be generated according to the information of the user requirements and the information of each loss part in stock.
After the rental is finished, the health evaluation module 202 may receive a rental finish message input by the user or sent through the user terminal, or a rental finish message input by the staff or sent through the terminal.
After the health degree evaluation module 202 receives the lease end message, the use of each worn component is ended, and the health degree evaluation module 202 may obtain the health degree of each worn component in this case.
The sharing management module 203 can calculate the rental fee of the component combination according to the health degree of each worn component during the rental period and perform rental settlement.
The embodiment of the invention manages the loss parts based on the change of the health degree of each loss part during the lease period, can realize the sharing of the loss parts in a lease mode, can reduce the transportation and purchase cost of customers, can save resources, and can improve the management efficiency and the use efficiency of the loss parts.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions stored in the memory 330 and executable on the processor 310 to perform the worn component management method provided by the above-described method embodiments, the method comprising: in response to the lease request, determining a part combination comprising a plurality of worn parts according to the lease request; if a lease ending message is received, acquiring the health degree of each loss part after the lease is ended; determining the lease cost of the part combination according to the change of the health degree, the lease period and the initial health degree of each lost part during the lease period; wherein the initial health of the plurality of worn parts is obtained prior to receiving the lease request.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The processor 310 in the electronic device according to the embodiment of the present invention may call the logic instruction in the memory 330, and the implementation manner of the processor is consistent with the implementation manner of the method for managing a wear-leveling component according to the embodiment of the present invention, and the same beneficial effects may be achieved, and details are not described here.
In another aspect, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the worn component management method provided by the above-mentioned method embodiments, where the method includes: in response to the lease request, determining a part combination comprising a plurality of worn parts according to the lease request; if a lease ending message is received, acquiring the health degree of each loss part after the lease is ended; determining the lease cost of the part combination according to the change of the health degree, the lease period and the initial health degree of each lost part during the lease period; wherein the initial health of the plurality of worn parts is obtained prior to receiving the lease request.
When the computer program product provided by the embodiment of the present invention is executed, the method for managing a lossy component is implemented, and the specific implementation manner of the method is consistent with the implementation manner described in the embodiment of the foregoing method, and the same beneficial effects can be achieved, and details are not described here again.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to execute the method for managing a worn component provided in the foregoing embodiments, and the method includes: in response to the lease request, determining a part combination comprising a plurality of worn parts according to the lease request; if a lease ending message is received, acquiring the health degree of each loss part after the lease is ended; determining the lease cost of the part combination according to the change of the health degree, the lease period and the initial health degree of each lost part during the lease period; wherein the initial health of the plurality of worn parts is obtained prior to receiving the lease request.
When the computer program stored on the non-transitory computer-readable storage medium provided in the embodiments of the present invention is executed, the method for managing a wear component is implemented, and the specific implementation manner of the method is consistent with the implementation manner described in the embodiments of the foregoing method, and the same beneficial effects can be achieved, which is not described herein again.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (13)
1. A method for managing a worn component, comprising:
in response to a lease request, determining a part combination comprising a number of worn parts according to the lease request;
if a lease ending message is received, acquiring the health degree of each loss part after lease ending;
determining the rental cost of the part combination according to the change of the health degree of each lost part during the rental period, the rental period and the initial health degree;
wherein the initial health of the number of worn parts is obtained prior to receiving the lease request.
2. The method of claim 1, wherein the step of obtaining the health of each of the worn components after the rental is complete comprises:
for each worn part, acquiring a first evaluation result of the health degree of the worn part under a non-working condition after leasing is finished based on a preset method;
acquiring the health degree of the worn parts after the leasing is finished based on the first evaluation result and/or the acquired second evaluation results;
and the second evaluation result is the evaluation result of the health degree of the worn parts obtained under the working condition during the leasing.
3. The method of claim 2, wherein if the end-of-rental message is received, before obtaining the health of each of the worn components after the end of rental, the method further comprises:
obtaining each second evaluation result of each loss part;
the specific step of obtaining the second evaluation result of the loss component includes:
for each loss part, acquiring environmental data, working condition data and stress data of the loss part at a target moment under a working condition;
inputting environmental data, working condition data and stress data of the loss part at the target moment into a health degree evaluation model, and outputting the second evaluation result of the loss part at the target moment;
the health degree evaluation model is obtained by training based on the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the environmental data, the working condition data and the stress data of the part sample which are determined in advance.
4. The method according to claim 3, wherein before the obtaining the second evaluation result of each of the lossy components, the method further comprises:
analyzing the environmental data, the working condition data and the stress data of the part sample and the predetermined health degree corresponding to the environmental data, the working condition data and the stress data of the part sample according to a rough set theory to obtain a classification rule;
training a neural network model according to the environmental data, the working condition data and the stress data of the part sample and the health degree corresponding to the predetermined environmental data, the working condition data and the stress data of the part sample to obtain the health degree evaluation model with the evaluation accuracy rate larger than a target threshold value;
wherein the neural network model is constructed according to the classification rule.
5. The method of claim 3, wherein the force data comprises: at least one of mechanical data, duration of operation data, and load.
6. The method of claim 2, wherein the step of determining the rental cost of the component assembly based on the health of each of the consumable components during the rental period, and the initial health comprises:
for each loss part, acquiring the service time of each loss part at each health degree grade according to each second evaluation result of each loss part;
determining the lease cost of each loss part according to the service time and the initial health degree of each loss part at each health degree grade;
determining the lease cost of the part combination according to the lease cost of each loss part;
wherein the rental period is composed of the use time of each health degree grade.
7. The method of claim 6, wherein the step of obtaining the rental cost of each consumable part according to the usage time and the initial health of each consumable part at each health level comprises:
determining the lease cost of each loss part at each health degree grade according to the use time and the initial health degree of each loss part at each health degree grade, and determining the health change cost corresponding to each change of the health degree grade to which the health degree of each loss part belongs;
and determining the leasing cost of each loss part according to the leasing cost of each loss part at each health degree grade and the health change cost.
8. The method of claim 1, wherein the step of determining a combination of parts including a number of worn parts based on the lease request comprises:
and determining the part combination based on the project condition, the working condition requirement, the load size and the lease period in the lease request.
9. The method of claim 8, wherein the step of determining the component assembly based on the engineering conditions, operating requirements, load size, and rental period of the rental request comprises:
determining a plurality of candidate combinations based on the project condition, the working condition requirement, the load size and the lease period in the lease request;
pushing the candidate combinations to a user terminal;
receiving confirmation information sent by a user terminal, and determining one candidate combination in the plurality of candidate combinations as the part combination based on the confirmation information;
wherein the candidate combination comprises a number of lossy components.
10. The method of any of claims 1 to 9, wherein the step of determining a component combination including a number of worn components in response to a lease request further comprises, prior to determining a component combination including a number of worn components based on the lease request:
and determining each loss part in the target warehouse based on the type and the construction period of each project in the target area corresponding to the target warehouse.
11. A wear part management system, comprising:
the combination determining module is used for responding to a leasing request and determining a part combination comprising a plurality of loss parts according to the leasing request;
the health degree evaluation module is used for acquiring the health degree of each loss part after leasing is finished if a leasing finishing message is received;
the sharing management module is used for determining the rental cost of the part combination according to the change of the health degree of each loss part during the rental period, the rental period and the initial health degree;
wherein the initial health of the number of worn parts is obtained prior to receiving the lease request.
12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of wear part management according to any one of claims 1 to 10 when executing the program.
13. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for managing a wearing part of any one of claims 1 to 10.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110328392.4A CN113052555A (en) | 2021-03-26 | 2021-03-26 | Method and system for managing loss parts |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110328392.4A CN113052555A (en) | 2021-03-26 | 2021-03-26 | Method and system for managing loss parts |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113052555A true CN113052555A (en) | 2021-06-29 |
Family
ID=76515812
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110328392.4A Pending CN113052555A (en) | 2021-03-26 | 2021-03-26 | Method and system for managing loss parts |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113052555A (en) |
Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1388937A (en) * | 2000-06-29 | 2003-01-01 | 松下电器产业株式会社 | Commodity recycling method |
CN1451144A (en) * | 2000-03-31 | 2003-10-22 | 日立建机株式会社 | System for determining rental of construction machine |
JP2011150564A (en) * | 2010-01-22 | 2011-08-04 | Masatoshi Baba | Rental secondary battery charging system for electric automobile |
CN102768115A (en) * | 2012-06-27 | 2012-11-07 | 华北电力大学 | Method for dynamically monitoring health status of wind turbine gearbox in real time |
KR20150055649A (en) * | 2013-11-13 | 2015-05-22 | (주)마루엠씨에스 | System and method for charging rental fee of electric engine and battery |
US20150149367A1 (en) * | 2013-11-27 | 2015-05-28 | Thacker Caskets Inc. | Rental casket distribution system and method |
CN106022875A (en) * | 2016-05-17 | 2016-10-12 | 贵州省哇通了工程机械服务有限公司 | Method, device and system for managing engineering machine equipment leasing platform |
US20170004570A1 (en) * | 2014-03-26 | 2017-01-05 | Mitsubishi Hitachi Power Systems, Ltd. | Estimate presentation device, estimate presentation method, program, and recording medium |
CN206236154U (en) * | 2016-08-26 | 2017-06-09 | 佛山华平勇创能源科技有限公司 | A kind of battery rent system of the stroke metering based on dynamic lithium battery |
CN107016235A (en) * | 2017-03-21 | 2017-08-04 | 西安交通大学 | The equipment running status health degree appraisal procedure adaptively merged based on multiple features |
CN108765184A (en) * | 2018-06-04 | 2018-11-06 | 太仓秦风广告传媒有限公司 | A kind of forestry machinery intelligent management system based on Internet of Things |
CN109685603A (en) * | 2018-11-30 | 2019-04-26 | 芜湖茂坤网络科技有限公司 | A kind of we rent tools method, system and terminal |
CN109872207A (en) * | 2017-12-04 | 2019-06-11 | 南京天朝机网络科技有限公司 | The method and device of leasing of construction machinery expense is set for intelligence |
CN109886720A (en) * | 2018-12-20 | 2019-06-14 | 四机赛瓦石油钻采设备有限公司 | Pressure break equipment lease charging method, equipment and storage equipment based on Internet of Things |
CN110378622A (en) * | 2019-07-31 | 2019-10-25 | 华中科技大学 | A kind of lifetime estimation method and management of leasing method of reusable steel member |
CN111797815A (en) * | 2020-07-22 | 2020-10-20 | 安徽三禾一信息科技有限公司 | Complex equipment health assessment method and system based on deep learning |
CN112365186A (en) * | 2020-11-27 | 2021-02-12 | 中国电建集团海外投资有限公司 | Health degree evaluation method and system for electric power information system |
-
2021
- 2021-03-26 CN CN202110328392.4A patent/CN113052555A/en active Pending
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1451144A (en) * | 2000-03-31 | 2003-10-22 | 日立建机株式会社 | System for determining rental of construction machine |
CN1388937A (en) * | 2000-06-29 | 2003-01-01 | 松下电器产业株式会社 | Commodity recycling method |
JP2011150564A (en) * | 2010-01-22 | 2011-08-04 | Masatoshi Baba | Rental secondary battery charging system for electric automobile |
CN102768115A (en) * | 2012-06-27 | 2012-11-07 | 华北电力大学 | Method for dynamically monitoring health status of wind turbine gearbox in real time |
KR20150055649A (en) * | 2013-11-13 | 2015-05-22 | (주)마루엠씨에스 | System and method for charging rental fee of electric engine and battery |
US20150149367A1 (en) * | 2013-11-27 | 2015-05-28 | Thacker Caskets Inc. | Rental casket distribution system and method |
US20170004570A1 (en) * | 2014-03-26 | 2017-01-05 | Mitsubishi Hitachi Power Systems, Ltd. | Estimate presentation device, estimate presentation method, program, and recording medium |
CN106022875A (en) * | 2016-05-17 | 2016-10-12 | 贵州省哇通了工程机械服务有限公司 | Method, device and system for managing engineering machine equipment leasing platform |
CN206236154U (en) * | 2016-08-26 | 2017-06-09 | 佛山华平勇创能源科技有限公司 | A kind of battery rent system of the stroke metering based on dynamic lithium battery |
CN107016235A (en) * | 2017-03-21 | 2017-08-04 | 西安交通大学 | The equipment running status health degree appraisal procedure adaptively merged based on multiple features |
CN109872207A (en) * | 2017-12-04 | 2019-06-11 | 南京天朝机网络科技有限公司 | The method and device of leasing of construction machinery expense is set for intelligence |
CN108765184A (en) * | 2018-06-04 | 2018-11-06 | 太仓秦风广告传媒有限公司 | A kind of forestry machinery intelligent management system based on Internet of Things |
CN109685603A (en) * | 2018-11-30 | 2019-04-26 | 芜湖茂坤网络科技有限公司 | A kind of we rent tools method, system and terminal |
CN109886720A (en) * | 2018-12-20 | 2019-06-14 | 四机赛瓦石油钻采设备有限公司 | Pressure break equipment lease charging method, equipment and storage equipment based on Internet of Things |
CN110378622A (en) * | 2019-07-31 | 2019-10-25 | 华中科技大学 | A kind of lifetime estimation method and management of leasing method of reusable steel member |
CN111797815A (en) * | 2020-07-22 | 2020-10-20 | 安徽三禾一信息科技有限公司 | Complex equipment health assessment method and system based on deep learning |
CN112365186A (en) * | 2020-11-27 | 2021-02-12 | 中国电建集团海外投资有限公司 | Health degree evaluation method and system for electric power information system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP4060599A1 (en) | Battery service providing system and method | |
KR20190055264A (en) | Providing per-application resource usage information | |
CN106934720A (en) | Equipment insurance intelligent pricing method and system based on Internet of Things | |
CN111553633A (en) | Engineering cost management system and method | |
CN110866770A (en) | Prediction method and prediction system for vehicle maintenance scheme | |
CN115115303A (en) | Bulk cargo management and control integrated system and method based on intelligent port | |
CN112101738A (en) | Task information generation method and device, electronic equipment and readable storage medium | |
CN113697670B (en) | Intelligent management and control method and system for crane equipment | |
CN105528669B (en) | Load prediction system for electric system | |
CN114812984A (en) | Movable rapid monitoring system for railway bridge | |
CN114360222A (en) | State early warning method, device, equipment and medium for rental equipment | |
CN113052555A (en) | Method and system for managing loss parts | |
CN116523498A (en) | AI-based power facility inspection method, system, device and storage medium | |
CN108961037B (en) | Vehicle loan wind control method and device based on vehicle use condition evaluation algorithm | |
CN113205391B (en) | Historical order matching degree based order dispatching method, electronic equipment and computer readable medium | |
CN115825791A (en) | Battery health state detection method and system, electronic equipment and storage medium | |
CN113554517A (en) | Risk assessment method and device for truck insurance market and storage medium | |
CN106682828A (en) | Communication tower maintenance operation progress monitoring method and communication tower maintenance operation progress monitoring system | |
CN111027831A (en) | Investment decision method and system based on economic evaluation model | |
WO2019182027A1 (en) | Management system, program, management method and management server | |
CN111709623A (en) | High-performance computing environment evaluation method and device, electronic equipment and storage medium | |
CN111433807A (en) | Block chain link point service and mining method, device, equipment, system and medium | |
CN112351105B (en) | Cloud service evaluation method and device | |
CN117236920A (en) | Equipment inspection method and device based on data driving | |
Junming et al. | Bayesian estimation of a power law process with incomplete data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |