CN111242643B - Real-time updating system for manufacturing service information of miniature annular part - Google Patents

Real-time updating system for manufacturing service information of miniature annular part Download PDF

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CN111242643B
CN111242643B CN202010044366.4A CN202010044366A CN111242643B CN 111242643 B CN111242643 B CN 111242643B CN 202010044366 A CN202010044366 A CN 202010044366A CN 111242643 B CN111242643 B CN 111242643B
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赵荣泳
陆剑峰
张�浩
丁红海
韩调娟
陶丽
钱琳
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Tongji University
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Abstract

The invention relates to a real-time updating system of manufacturing service information of miniature annular parts, wherein an industrial cloud platform comprises: a storage module for storing manufacturing service information; the demand information acquisition module is used for receiving demand information issued by the service demand business; the service real-time matching module is used for matching with the static information according to the requirement information; the service price generation module is used for calling real-time evaluation information and state information of the corresponding manufacturing service according to the matching result to generate price information of the manufacturing service; the demand side communication module is used for communicating with the service demander; and the manufacturing service selection module is used for updating the service requirement business state according to the second selection information. Compared with the prior art, the method has the advantages of small calculation load of the industrial cloud platform, timely and reliable information updating and the like.

Description

Real-time updating system for manufacturing service information of miniature annular part
Technical Field
The invention relates to the technical field of cloud manufacturing, in particular to a real-time updating system for manufacturing service information of miniature annular parts.
Background
With the development of manufacturing technology, many enterprises have advanced manufacturing technology, but have the problem of idle resources, and do not realize collaborative development and resource sharing, so that a new manufacturing mode, namely cloud manufacturing, appears. The cloud manufacturing has the advantages that the distributed resources are integrated, the heterogeneous resources are distributed on an industrial cloud platform in the form of service, and universal, standard and standard manufacturing services are provided for service requesters.
At present, service matching is used as an important component of the industrial cloud platform management service, so that the efficiency of efficient sharing of manufacturing services can be remarkably improved. In addition, real-time updating of manufacturing service information provides references for service matching, reconfiguration, etc., and prevents service anomalies. In order to track the dynamic information of the manufacturing service in real time, real-time data acquisition is required for the on-site processing equipment. If all the collected data are transmitted to the industrial cloud platform for processing, the network transmission bandwidth is high in pressure, and the data safety cannot be guaranteed. And the industrial cloud platform has a certain time delay from analyzing and processing data to making decisions, so that the real-time response requirement is difficult to ensure. Many data will lose effect soon after collection and analysis and therefore there is no need to store on the industrial cloud platform to consume the storage capacity of the industrial cloud platform. The existing method is that the field data are all sent to the industrial cloud platform for processing after being collected, and the industrial cloud platform only informs service demander of the current task to be executed of the dynamic information of the service, so that the requirement of resource sharing cannot be met.
In order to solve the above technical problems, related patents have also been studied, such as:
patent application CN107018160a (a layering-based manufacturing resource and clouding method) discloses a method for clouding manufacturing resources and capabilities, which mainly comprises the following steps: and describing the attribute, behavior and state of the manufacturing resources through numbers, data and models, accessing the manufacturing resources to an industrial cloud platform on line, carrying out standardized description and management on the resources of different levels by the industrial cloud platform, and finally carrying out service packaging on the standardized manufacturing resources to support user searching. However, the method does not realize real-time acquisition of manufacturing service processing data, and a user cannot view the state of the current manufacturing service in real time.
Patent application CN106200572a (flexible smart manufacturing method using cloud service platform) discloses a method for realizing flexible manufacturing by industrial cloud platform, which mainly comprises the following steps: the man-machine interaction equipment collects or receives field data and sends the data to the industrial cloud platform, the industrial cloud platform processes the data to obtain a new production scheme, and finally a user inquires the new production scheme through the man-machine interaction equipment and modifies the new production scheme. The patent is to send the acquired field data to the industrial cloud platform for processing, which increases the pressure of the broadband of the data transmission network and increases the calculation load of the industrial cloud platform.
Patent CN104468778B (a cloud manufacturing execution system based on cloud service and a manufacturing execution method thereof) discloses a cloud manufacturing execution system based on cloud service and an execution method thereof. The manufacturing cloud service system is deployed on the industrial cloud platform and provides service for service requests of cloud clients; the cloud client application is deployed on a computer or a mobile terminal and collects data in the manufacturing execution process in real time; triggering a control instruction or re-requesting service according to the event rule, and feeding back the result to a user interface and the like. The patent provides virtualized, distributed computing resources and computing power to users as a service, rather than a service-a manufacturing service, which is a manufacturing resource that is a service, and the invocation of cloud manufacturing services also requires consideration of the actual manufacturing service state and is relatively complex to implement.
Patent application CN108632275a (an intelligent cloud manufacturing service access method based on the internet of things) discloses an intelligent cloud manufacturing service access method based on the internet of things, which mainly comprises the following steps: the cloud manufacturing server stores basic information and functional information of the intelligent manufacturing equipment, and acquires dynamic information of the intelligent manufacturing equipment for a user to access; the user can remotely access and select the manufacturing service through a plurality of ports, view the state and the process of the manufacturing service in real time, and conduct intelligent dynamic scheduling according to the dynamic information; the intelligent manufacturing equipment evaluates the manufacturing capacity and the load capacity of the intelligent manufacturing equipment, realizes information sharing and cooperative work, and optimizes self configuration. The patent transmits dynamic information of the manufacturing service to a user being served, but does not consider the influence of the dynamic information of the manufacturing service on a service demander waiting for the service and a service provider executing an allied task, the service demander waiting for the service cannot adjust own service selection in time, the service provider executing the allied task cannot dynamically adjust own service plan, and instantaneity and adaptability are insufficient.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a real-time updating system for manufacturing service information of miniature annular parts.
The aim of the invention can be achieved by the following technical scheme:
the utility model provides a miniature annular part makes service information real-time update system, includes industry cloud platform, service provider terminal and service demand merchant terminal, industry cloud platform includes:
the storage module is used for storing manufacturing service information issued by the service provider terminal, wherein the manufacturing service information comprises static information and dynamic information, and the dynamic information comprises evaluation information, state information and price information;
the demand information acquisition module is used for receiving demand information issued by the service demand business terminal;
the service real-time matching module is used for matching the demand information with the static information to obtain a matching result;
the system comprises a demand side communication module, a service provider terminal and a service provider terminal, wherein the demand side communication module is used for communicating with the service provider terminal, and the communication content comprises a matching result, first selection information aiming at the matching result, real-time dynamic information and second selection information aiming at the real-time dynamic information;
the service price generation module is used for responding to the first selection information, calling real-time evaluation information and state information of the manufacturing service corresponding to the service provider terminal according to the first selection information, and generating price information of the manufacturing service to form real-time dynamic information;
and the manufacturing service selection module is used for updating the service requirement business state according to the second selection information.
Further, the static information includes basic information and functional information of the manufacturing service.
Further, the evaluation information is generated after the manufacturing service has completed a task.
Further, the status information includes idle, joined execution tasks and execution tasks.
Further, the price information is obtained by the following formula:
Figure BDA0002368853760000031
wherein w is e And w w The influence proportion of the waiting time of the service evaluation information and the newly added service demander on the service price is respectively represented; p (P) base Representing a base price for the service;
Figure BDA0002368853760000032
the evaluation grade of the corresponding service; t is t md Indicating a maximum time that the service requester is willing to wait; t is t w Representing the waiting time of the newly joined service demander.
Further, the service demander status includes a newly joined service demander, a service demander waiting for a service, and a service demander for which a task is performed.
Further, the communication content further includes notification information about the waiting service sent to a service requester of the waiting service.
Further, the notification information includes an emergency notification and a general notification.
Further, the service provider terminal includes:
and the edge computing equipment responds to the calling instruction of the industrial cloud platform and is used for detecting whether the dynamic information of the manufacturing service changes or not, and generating real-time evaluation information and state information to be transmitted to the industrial cloud platform when the dynamic information of the manufacturing service changes.
Further, the specific acquisition process of the real-time evaluation information and the state information is as follows:
acquiring the current state of the manufacturing service, and if the current state is an idle state, not updating information;
if the current state is a state of executing a common task, the state information is updated only by the following formula:
t w ＝t c +t o +t r
wherein t is w Representing the waiting time of a newly joined service demander, t c 、t o 、t r Respectively representing the current task completion time of the service, the processing time of the scheduled task and the maintenance time of the service;
if the current state is the state of executing the allied task, the state information is updated only by the following formula:
t w ′＝t co +t t
wherein t is w ' represents the latency of the federation provider, t co 、t t Respectively representing the time of executing the task and the time of transmitting the task of the pre-collaboration provider;
if the current state is the state of just completing the task, the evaluation information and the state information are updated at the same time, wherein the state information is the sum of the processing time and the maintenance time of the task scheduled by the service.
Further, the edge computing device detects whether the manufacturing service is normal in real time, and feeds abnormal information back to the industrial cloud platform when the manufacturing service is abnormal, and the industrial cloud platform generates emergency notification and issues the emergency notification.
Compared with the prior art, the invention has the following beneficial effects:
1) The invention introduces edge computing equipment and embodies the idea of 'where to produce and where to consume'. The industrial cloud platform does not have to have detailed knowledge of the specific operating parameters of the manufacturing service, but only needs to know the dynamic information of the manufacturing service from the edge computing device in real time and inform all relevant service providers and service requesters. The notification sent by the industrial cloud platform and received by the related object is related to the related object, and is not redundant and useless. The method reduces the pressure of network broadband and improves the use utility of both parties. After the service demander added into the industrial cloud platform performs first matching of the manufacturing service according to the static information of the manufacturing service, the manufacturing service is adjusted again according to the received service information updated in real time, so that the task is guaranteed to be finished with high quality, low price and short processing time.
2) Update dynamic information of the service and send notification. When a certain manufacturing service executes a task, the edge computing device updates the dynamic information of the service and sends a general notification to related objects through the industrial cloud platform: a requestor of a service, a requestor of a waiting service, and a service provider of an affiliated task execution. The served demander knows the execution progress of the manufacturing service and plays a role of supervision. The service demander can know the service condition more deeply, predict the task execution result of himself in advance, and adjust the selection of the service provider in time. The service provider for executing the allied task adjusts the production scheme of the service provider according to the progress of executing the task, thereby greatly improving the task completion time and the completion quality. The industrial cloud platform also sends emergency notification. The priority of the emergency notification is higher than the general notification. The edge computing equipment detects that the service abnormality is reported to the industrial cloud platform, and the industrial cloud platform needs to send emergency notification to related objects to make emergency treatment.
3) And the satisfaction degree of service demander is improved. The industrial cloud platform can dynamically adjust the service price paid by the service consumer according to the waiting time and the service evaluation level of the service consumer so as to ensure the benefit and satisfaction of the service consumer.
Drawings
FIG. 1 is a schematic diagram of a manufacturing service update architecture according to the present invention;
FIG. 2 is a schematic diagram of a service update flow in a service matching process according to the present invention;
FIG. 3 is a flow chart of the present invention for service update and service notification during task execution.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
Example 1
Referring to fig. 1, the embodiment realizes a real-time updating system for manufacturing service information of a micro annular part, which comprises an industrial cloud platform, a service provider terminal and a service demander terminal.
The service provider terminal issues relevant information of owned manufacturing resources, such as equipment scale, product type and production capacity, etc., on the industrial cloud platform. The service demander terminal issues relevant information of manufacturing tasks such as types of required products, quality requirements, delivery date and the like on the industrial cloud platform. After receiving the demand information, the industrial cloud platform searches and matches the manufacturing service and distributes the proper service to the demand providers.
The service provider terminal is located at the cloud service supply side, and the service provider virtualizes and accesses own processing equipment to the industrial cloud platform to form manufacturing service. Depending on the current state of the service provider, three categories can be distinguished: idle, allied executing tasks, executing tasks. When a certain manufacturing service is in an idle state, the next stage is in a state of being joined to execute a task or execute a task. The service update notifications sent by the industrial cloud platform received by the service providers of different states are different. The edge computing equipment detects whether dynamic information (evaluation information and state information) of the service changes or not through acquisition, preprocessing and calculation of field processing equipment data, and sends the changed service information to the industrial cloud platform. The interaction between the industrial cloud platform and the edge computing device is bidirectional, and the industrial cloud platform can request the edge computing device to detect and update the service information.
Service demander terminals on the cloud service demand side can be classified into three types: newly joined service demander, demander waiting for service, service demander for task to be performed. After joining the industrial cloud platform, the service demander is in the waiting service or task execution stage in the next stage. The service information concerned by the service demander in different stages is different, and the industrial cloud platform selectively sends a notification for the service demander.
The industrial cloud platform comprises a storage module, a demand information acquisition module, a service real-time matching module, a service price generation module, a demand side communication module and a manufacturing service selection module. The storage module is used for storing manufacturing service information issued by the service provider terminal, the manufacturing service information comprises static information and dynamic information, the static information comprises basic information (service number, service name, service type and the like) and functional information (processable part type, precision, size and the like) of the manufacturing service, the dynamic information comprises evaluation information, state information and price information, the evaluation information is generated after the manufacturing service completes a task, and the state information comprises idle and allied execution tasks and execution tasks. The demand information acquisition module is used for receiving demand information issued by the service demander, and the demand information comprises types, quality requirements, delivery date and the like of required products. And the service real-time matching module is used for matching with the static information according to the requirement information to obtain a matching result. The demand side communication module is used for communicating with the service demander terminal, and the communication content comprises a matching result, first selection information aiming at the matching result, real-time dynamic information and second selection information aiming at the real-time dynamic information. And the service price generation module is used for responding to the first selection information, calling the real-time evaluation information and the state information of the manufacturing service corresponding to the service provider terminal according to the first selection information, and generating price information of the manufacturing service to form real-time dynamic information. And the manufacturing service selection module is used for updating the service requirement business state according to the second selection information.
The price information is obtained by the following formula:
Figure BDA0002368853760000061
wherein w is e And w w The influence proportion of the waiting time of the service evaluation information and the newly added service demander on the service price is respectively represented; p (P) base Representing a base price for the service;
Figure BDA0002368853760000062
the evaluation grade of the corresponding service; t is t md Indicating a maximum time that the service requester is willing to wait; t is t w Representing the waiting time of the newly joined service demander.
The service demander status includes a newly joined service demander, a service demander waiting for a service, and a service demander for which a task is performed. The communication content also includes notification information regarding the waiting service sent to a service requester of the waiting service.
The service provider terminal comprises edge computing equipment, responds to a calling instruction of the industrial cloud platform and is used for detecting whether the dynamic information of the manufacturing service changes, and real-time evaluation information and state information are generated when the dynamic information of the manufacturing service changes and transmitted to the industrial cloud platform.
The real-time evaluation information and state information specific acquisition process comprises the following steps:
acquiring the current state of the manufacturing service, and if the current state is an idle state, not updating information;
if the current state is a state of executing a common task, the state information is updated only by the following formula:
t w ＝t c +t o +t r
wherein t is w Representing the waiting time of a newly joined service demander, t c 、t o 、t r Respectively representing the current task completion time of the service, the processing time of the scheduled task and the maintenance time of the service;
if the current state is the state of executing the allied task, the state information is updated only by the following formula:
t w ′＝t co +t t
wherein t is w ' represents the latency of the federation provider, t co 、t t Respectively representing the time of executing the task and the time of transmitting the task of the pre-collaboration provider;
if the current state is the state of just completing the task, the evaluation information and the state information are updated at the same time, wherein the state information is the sum of the processing time and the maintenance time of the task scheduled by the service.
As shown in fig. 2 and 3, the information update flow of the real-time update system for the micro annular part manufacturing service specifically includes:
s101, a service provider logs in an industrial cloud platform to release services. The basic information and the functional information of the service are expressed by using an extensible markup language (eXtensible Markup Language, XML) description model. The evaluation information, state information and price information of the manufacturing service belong to the dynamic information of the service, and are supplemented and updated in real time along with the execution task of the service. Since this patent focuses on real-time updates of manufacturing services, its static information is not discussed in detail.
S102, a service demander logs in an industrial cloud platform and issues manufacturing tasks and technical requirements of the industrial cloud platform.
And S103, matching proper services by the industrial cloud platform according to the basic information and the functional information of the services and pushing the services to service requesters.
And S104, the service demander performs first selection on the service pushed by the industrial cloud platform.
And S105, the industrial cloud platform sends the service selection result of the service demander to the edge computing equipment of each service, and requests the edge computing equipment to acquire the evaluation information and the state information of each service according to the real-time data analysis of the processing site.
And S106, after the edge computing equipment receives the request of the industrial cloud platform, firstly detecting whether the service is working.
And S107, if the service is in an idle stage, the edge computing equipment informs the industrial cloud platform that the service dynamic information is up to date and does not need to be updated.
And S108, if the edge computing equipment detects that the service is working, continuing to detect whether the service completes the current task.
And S109, if the edge computing device detects that the service is executing the current task, the edge computing device updates the state information of the service. The status information is quantified by the latency of the newly joined service demander. At this time, the edge computing device updates the completion time of the service executing the current task and the completion time of the task scheduled by the service, so as to determine the waiting time of the newly added service demander. The rating information is still the rating information when the last task of the service is completed, and no update occurs. The status information of the service can be represented by formula (1).
t w ＝t c +t o +t r (1)
Wherein t is w Representing the waiting time of a newly joined service demander, t c 、t o 、t r The current task completion time of the service, the processing time of the scheduled task and the maintenance time of the service are respectively represented.
And S110, if the edge computing equipment detects that the service just completes the current task, the evaluation information and the state information of the service need to be updated. The evaluation of the service was classified into five classes: the excellent, good, medium, and grade, and bad, respectively, correspond to intervals (0.8,1), (0.6,0.8), (0.4,0.6), (0.2, 0.4), (0,0.2).
And S111, the edge computing equipment sends the updated evaluation information and state information to the industrial cloud platform.
And S112, the industrial cloud platform dynamically determines the price of the service according to the evaluation information and the state information of the service. The dynamic change of the price takes into account the fairness Guan Qiedu of the service demander and can adjust the service demand to avoid task blocking. The price of the service may be determined according to equation (2).
Figure BDA0002368853760000081
Wherein w is e And w w The influence proportion of the waiting time of the service evaluation information and the newly added service demander on the service price is respectively represented; p (P) be Representing a base price for the service;
Figure BDA0002368853760000082
corresponding to the evaluation grade of the service, the value range is (0, 1)]；t md Indicating a maximum time that the service requester is willing to wait beyond which the service requester may create an discontent emotion; t is t w Representing the waiting time of the newly joined service demander determined by step S109 or S110.
And S113, the industrial cloud platform sends the updated service evaluation information, state information and price information to the newly added service demander.
And S114, the newly added service demander performs second selection on the service in the first selected service set according to the service dynamic information sent by the industrial cloud platform.
S115, after the newly added service demander makes a selection for the service, the new service demander enters a stage of executing the task or waiting for the task to be executed.
And S116, if the task of the newly added service demander is executed, the edge computing equipment updates the state information of the service according to the data acquired on site. The status information covers the time that the task has been performed, the time that the consumer being serviced needs to wait.
The edge computing device detects whether the state information of the service is normal or not S117. If the fault occurs, the edge computing equipment analyzes the fault and reports the fault to the industrial cloud platform.
S118, the industrial cloud platform sends a notification to related objects: a served consumer, a consumer waiting for the service, a service provider performing the task, and a subsequent affiliated provider providing the service. The notification sent at this time is an emergency notification, which takes precedence over a general notification.
And S119, the industrial cloud platform and a service provider for executing the tasks take corresponding measures. The service provider performing the task performs a timely state assessment of the service. If the service cannot be recovered to be normal in a short period of time, the industrial cloud platform reconfigures and schedules the service, so that the loss is reduced as much as possible.
And S120, if the edge computing equipment detects that the state information of the service is normal, the industrial cloud platform informs the state information of the service to a served requester, a service requester waiting for the service, a service provider executing the task and a service provider joining the execution task. The industrial cloud platform informs the corresponding demander of the waiting time and the price of the demander which has reserved the service, so that the demander waiting for the service predicts the result of the service, and timely adjusts the reserved service. The waiting time and the service price of the demander waiting for the service can be calculated by equations (1) and (2), respectively. Complex tasks require multiple service providers to cooperatively accomplish. The allied suppliers know the service progress in time and adjust the service scheme. The time for the affiliated provider to wait for the task to be executed includes the time for the pre-collaboration provider to execute the task and the time for the task to be transmitted, which can be determined according to formula (3). At this time, the notification sent by the industrial cloud platform is a general notification, and by selectively notifying the relevant object, invalid update notification is avoided.
t w ′＝t co +t t (3)
Wherein t is w ' represents the latency of the federation provider, t co 、t t Respectively, the time of task execution and the time of task transmission of the pre-collaboration provider.
And S121, after the task order is completed, the industrial cloud platform evaluates the service according to the task execution condition and determines the price to be paid by the service demander according to the formula (2). The service demander pays according to the price information.
And S122, the demand merchant waiting for the service receives the general notification and the emergency notification about the waiting service sent by the industrial cloud platform. The general notification includes information already discussed in step S120. Emergency notification refers to the service exception.
S123, the demander waiting for the service predicts the execution result of the task according to the notification sent by the industrial cloud platform, and negotiates and adjusts the selected service.
Example 2
Some manufacturers need to process miniature annular parts, and the processing steps of the parts include: laser engraving, polishing and quality inspection. The industrial cloud platform automatically matches { A, B, C } of the services capable of completing laser engraving { D, E } of the services capable of completing light splitting { F } of the services capable of completing quality inspection { F } according to the basic information and the functional information of each manufacturing service. The information of each service is assumed to be shown in table 1.
TABLE 1 information of services
Figure BDA0002368853760000101
Note that: service C is a service newly released by a service provider, and no evaluation information exists at present. The service needs to be maintained once after executing a task once.
The industrial cloud platform first requests the edge computing device of service A, B, C to detect the dynamic information of service A, B, C.
1) The edge computing device detects that the service A does not currently execute the task, and the edge computing device informs the industrial cloud platform that the dynamic information of the service A does not need to be updated.
2) The edge computing device detects that service B is executing a certain task, and there are 2 more hours to complete the current task, and there are 2 tasks currently waiting for service B to execute. According to formula (1), if the vendor selects service B, the waiting time is:
t w ＝2+0.5×3+3×2＝9.5h
the evaluation information of service B is not changed at this time. Assume that the manufacturer is willing to wait for a maximum time t during the laser engraving phase md For 5h, the rating and latency are equally important to the manufacturer, i.e., w e ＝w w =0.5 h. The industrial cloud platform calculates the price of the service B at this time by using the formula (2) according to the state information (vendor waiting time) and the evaluation information (evaluation level) updated by the edge computing device:
P＝0.5×500×0.9+0.5×500×9.5/5＝700
3) The edge computing device detects that service C has just completed a certain task, and service C currently has 1 task to perform. If the newly added service demander selects service C, the waiting time is required according to formula (1):
t w ＝2+0.3×2＝2.6h
the industrial cloud platform determines that the evaluation grade of the service C is 0.6 according to the product percent of pass and the like, and can calculate the price of the service C at the moment as follows:
P＝0.5×600×0.6+0.5×600＝480
table 2 updated information for each service of laser engraving
Figure BDA0002368853760000102
Figure BDA0002368853760000111
The updated information of the laser engraved service A, B, C is shown in table 2.
And the manufacturer selects the service A to finish the laser engraving according to the updated information of each service of the laser engraving sent by the industrial cloud platform. The process of selecting the polishing and quality inspection service is the same as the process of selecting the laser engraving service, and will not be described in detail. The manufacturer finally selects service A, D, F to finish laser engraving, polishing and finishing of the part, respectively. Assume that the transit times of the work in process between services A, D, F are t respectively AD ＝2h,t DF ＝2.5h。
And when the part is laser engraved, the edge computing equipment updates the state information of the service A in real time. Service A needs 4 hours to finish laser engraving, if the service A is finished for 2 hours, manufacturers need to wait for the laser engraving to finish for 2 hours. If a new service consumer joins the industrial cloud platform and selects the service A, waiting time and paid service price are as follows:
Figure BDA0002368853760000112
from Table 1, it is clear that the times for service D and service F to enter the part for finishing and finishing are 6h and 8h, respectively. Calculating waiting time of service D and service F entering the polishing and quality inspection according to a formula (3):
Figure BDA0002368853760000113
the industrial cloud platform will inform the manufacturer that the waiting time for laser engraving is 2 hours, the waiting time for newly added service demander is 2.2 hours, the price to be paid is 360, the waiting time for service D to enter the profile is 4 hours, and the waiting time for service F to enter the quality inspection is 20.5 hours.
After the laser engraving is completed, the manufacturer determines the price to be paid to service a according to formula (2):
P＝0.5×400×0.8+0.5×400＝360
after the manufacturer finishes the payment of the service A, the manufacturer sequentially enters a polishing and quality inspection stage, and the service updating process is similar to the laser engraving process and is not described in detail.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.

Claims (8)

1. The utility model provides a miniature annular part makes service information real-time update system which characterized in that includes industry cloud platform, service provider terminal and service demand merchant terminal, industry cloud platform includes:
the storage module is used for storing manufacturing service information issued by the service provider terminal, wherein the manufacturing service information comprises static information and dynamic information, and the dynamic information comprises evaluation information, state information and price information;
the demand information acquisition module is used for receiving demand information issued by the service demand business terminal;
the service real-time matching module is used for matching the demand information with the static information to obtain a matching result;
the system comprises a demand side communication module, a service provider terminal and a service provider terminal, wherein the demand side communication module is used for communicating with the service provider terminal, and the communication content comprises a matching result, first selection information aiming at the matching result, real-time dynamic information and second selection information aiming at the real-time dynamic information;
the service price generation module is used for responding to the first selection information, calling real-time evaluation information and state information of the manufacturing service corresponding to the service provider terminal according to the first selection information, and generating price information of the manufacturing service to form real-time dynamic information;
the manufacturing service selection module is used for updating the service requirement business state according to the second selection information;
the service provider terminal includes:
the edge computing equipment responds to a calling instruction of the industrial cloud platform and is used for detecting whether the dynamic information of the manufacturing service changes or not, and real-time evaluation information and state information are generated when the dynamic information of the manufacturing service changes and transmitted to the industrial cloud platform;
the real-time evaluation information and state information specific acquisition process comprises the following steps:
acquiring the current state of the manufacturing service, and if the current state is an idle state, not updating information;
if the current state is a state of executing a common task, the state information is updated only by the following formula:
t w ＝t c +t o +t r
wherein t is w Representing the waiting time of a newly joined service demander, t c 、t o 、t r Respectively representing the current task completion time of the service, the processing time of the scheduled task and the maintenance time of the service;
if the current state is the state of executing the allied task, the state information is updated only by the following formula:
t w ′ ＝t co +t t
wherein t is w ′ Representing the latency of the affiliated provider, t co 、t t Respectively representing the time of executing the task and the time of transmitting the task of the pre-collaboration provider;
if the current state is the state of just completing the task, the evaluation information and the state information are updated at the same time, wherein the state information is the sum of the processing time and the maintenance time of the task scheduled by the service.
2. The micro ring part manufacturing service information real time updating system according to claim 1, wherein the static information includes basic information and functional information of the manufacturing service.
3. The real-time updating system of manufacturing service information of micro annular parts according to claim 1, wherein the evaluation information is generated after the manufacturing service has completed a certain task.
4. The real-time updating system of manufacturing service information of micro-ring parts according to claim 1, wherein the status information comprises idle, joined execution tasks and execution tasks.
5. The micro ring part manufacturing service information real-time updating system according to claim 1, wherein the price information is obtained by the following formula:
Figure FDA0004149267270000021
wherein w is e And w w The influence proportion of the waiting time of the service evaluation information and the newly added service demander on the service price is respectively represented; p (P) base Representing a base price for the service;
Figure FDA0004149267270000022
the evaluation grade of the corresponding service; t is t md Indicating a maximum time that the service requester is willing to wait; t is t w Representing the waiting time of the newly joined service demander.
6. The micro ring part manufacturing service information real time updating system according to claim 1, wherein the service demander status includes a newly added service demander, a service demander waiting for a service, and a service demander whose task is performed.
7. The micro ring part manufacturing service information real-time updating system according to claim 1, wherein the communication content further includes notification information about waiting service sent to a service requester of waiting service.
8. The real-time updating system of manufacturing service information of miniature ring parts according to claim 1, wherein the edge computing device detects whether the manufacturing service is normal in real time, and feeds back abnormal information to the industrial cloud platform when abnormality occurs, and the industrial cloud platform generates emergency notification and issues the emergency notification.
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