CN111242643B - A real-time update system for manufacturing service information of micro ring parts - Google Patents

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

A real-time update system for manufacturing service information of micro ring parts

technical field

The invention relates to the technical field of cloud manufacturing, in particular to a real-time update system for manufacturing service information of micro-ring parts.

Background technique

With the development of manufacturing technology, although many enterprises have advanced manufacturing technology, they have the problem of idle resources, and have not realized coordinated development and resource sharing. As a result, a new manufacturing model - cloud manufacturing has emerged. The advantage of cloud manufacturing is to revitalize and integrate scattered resources, publish heterogeneous resources in the form of services on the industrial cloud platform, and provide general, standard and standardized manufacturing services for service demanders.

At present, service matching, as an important part of industrial cloud platform management services, can significantly improve the efficiency of efficient sharing of manufacturing services. In addition, the real-time update of manufacturing service information provides reference for service matching, reconfiguration, etc., and prevents service anomalies. In order to track the dynamic information of manufacturing services in real time, it is necessary to collect data from the on-site processing equipment in real time. If all collected data is transmitted to the industrial cloud platform for processing, the pressure on the network transmission bandwidth will be high, and data security cannot be guaranteed. Moreover, there is a certain time delay between analyzing and processing data and making decisions on the industrial cloud platform, which makes it difficult to guarantee real-time response requirements. A lot of data loses its effect soon after collection and analysis, so there is no need to store it on the industrial cloud platform to consume the storage capacity of the industrial cloud platform. The current method is to send all on-site data collection to the industrial cloud platform for processing, and the industrial cloud platform only informs the service demander that the current task is executed of the service dynamic information, which cannot meet the needs of resource sharing.

In order to solve the above technical problems, related patents have also carried out some research, such as:

Patent application CN107018160A (a method based on hierarchical manufacturing resources and cloudification) discloses a method for cloud-based manufacturing resources and capabilities. The main steps include: describing the attributes, behaviors and states of manufacturing resources through numbers, data and models And online access to the industrial cloud platform, then the industrial cloud platform performs standardized description and management of resources at different levels, and finally performs service-oriented packaging of the standardized manufacturing resources to support user search. However, this method does not realize real-time collection of manufacturing service processing data, and users cannot view the current status of manufacturing services in real time.

Patent application CN106200572A (flexible intelligent manufacturing method using cloud service platform) discloses a method for realizing flexible manufacturing through an industrial cloud platform, and its main steps include: human-computer interaction equipment collects or receives field data, and sends the data to the industrial cloud platform, Then the industrial cloud platform processes these data to obtain a new production plan, and finally the user queries the new production plan through the human-computer interaction device and modifies it. This patent is to send all field data to the industrial cloud platform for processing after collection, which increases the pressure on the bandwidth of the data transmission network and increases the computing load of the industrial cloud platform.

Patent CN104468778B (a cloud service-based cloud manufacturing execution system and its manufacturing execution method) discloses a cloud service-based cloud manufacturing execution system and its execution method. The manufacturing cloud service system is deployed on the industrial cloud platform to provide services for the business requests of the cloud client; the cloud client application is deployed on the computer or mobile terminal to collect data during the manufacturing execution in real time; trigger control instructions or re-request services according to event rules, The results are fed back to the user interface interface, etc. This patent provides virtualized and distributed computing resources and computing capabilities to users as a service, rather than service-oriented manufacturing resources—manufacturing services. The invocation of cloud manufacturing services also needs to consider the actual manufacturing service status, implement It looks more complicated.

Patent application CN108632275A (an intelligent access method for cloud manufacturing services based on the Internet of Things) discloses an intelligent access method for cloud manufacturing services based on the Internet of Things, the main steps of which are: storing the basic information of intelligent manufacturing equipment in the cloud manufacturing server and functional information, and obtain the dynamic information of intelligent manufacturing equipment for users to access; users can remotely access and select manufacturing services through several ports, view the status and process of manufacturing services in real time, and perform intelligent dynamic scheduling according to dynamic information; intelligent manufacturing equipment evaluation Its own manufacturing capacity and load capacity, realize information sharing and collaborative work, and optimize its own configuration. This patent sends the dynamic information of the manufacturing service to the users being served, but does not consider the impact of the dynamic information of the manufacturing service on the service demander waiting for the service and the service provider performing the joining task, and the service demander waiting for the service cannot timely To adjust their own service choices, service providers who perform joining tasks cannot dynamically adjust their own service plans, and the real-time and adaptability are not enough.

Contents of the invention

The object of the present invention is to provide a real-time update system for manufacturing service information of miniature annular parts in order to overcome the above-mentioned defects in the prior art.

The purpose of the present invention can be achieved through the following technical solutions:

A real-time update system for manufacturing service information of micro ring parts, including an industrial cloud platform, a service provider terminal and a service demander terminal, the industrial cloud platform includes:

The storage module is used to store the manufacturing service information issued by the service provider terminal, the manufacturing service information includes static information and dynamic information, and the dynamic information includes evaluation information, status information and price information;

The demand information acquisition module is used to receive the demand information issued by the terminal of the service demander;

A real-time service matching module, configured to match the demand information with the static information to obtain a matching result;

The demand-side communication module is used to communicate with the service demander terminal, and the communication content includes matching results, first selection information for the matching results, real-time dynamic information, and second selection information for the real-time dynamic information;

The service price generation module, in response to the first selection information, is used to call the real-time evaluation information and status information of the manufacturing service corresponding to the service provider terminal according to the first selection information, generate the price information of the manufacturing service, and form a real-time dynamic information;

A manufacturing service selection module, configured to update the status of the service demander according to the second selection information.

Further, the static information includes basic information and function information of the manufacturing service.

Further, the evaluation information is generated after the manufacturing service completes a certain task.

Further, the status information includes idle, joining and executing tasks and executing tasks.

Further, the price information is obtained through the following formula:

对应服务的评价等级；t_md表示服务需求商愿意等待的最大时间；t_w表示新加入的服务需求商的等待时间。In the formula, w _e and w _w represent service evaluation information and the impact ratio of the waiting time of new service demanders on service price; P _base represents the basic price of service;

The evaluation level of the corresponding service; t _md represents the maximum time that the service demander is willing to wait; t _w represents the waiting time of the newly joined service demander.

Further, the status of the service demander includes a newly joined service demander, a service demander waiting for a service, and a service demander whose task is executed.

Further, the communication content also includes notification information about the waiting service sent to the service demander waiting for the service.

Further, the notification information includes emergency notifications and general notifications.

Further, the service provider terminal includes:

The edge computing device, in response to the call instruction of the industrial cloud platform, is used to detect whether the dynamic information of the manufacturing service changes, and when a change occurs, real-time evaluation information and status information are generated and transmitted to the industrial cloud platform.

Further, the specific acquisition process of the real-time evaluation information and status information is as follows:

Obtain the current status of manufacturing services, if the current status is idle, there will be no update information;

If the current state is the state of executing ordinary tasks, only the state information is updated by the following formula:

t _w ＝t _c +t _o +t _r

In the formula, t _w represents the waiting time of the newly added service demander, t _c , t _o , t _r represent the completion time of the current task of the service, the processing time of the scheduled task and the maintenance time of the service respectively;

If the current state is the state of executing the joining task, the state information is only updated by the following formula:

t _w ′=t _co +t _t

In the formula, t _w ′ represents the waiting time of the franchised supplier, and t _co and t _t represent the time for the cooperative supplier to perform the task and the time for the transmission task respectively;

If the current state is the state of just completing the task, update the evaluation information and state information at the same time, and the state information is the sum of the processing time and maintenance time of the scheduled task of the service.

Further, 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 an abnormality occurs, and the industrial cloud platform generates an emergency notification and publishes it.

Compared with the prior art, the present invention has the following beneficial effects:

1) The present invention introduces edge computing equipment, embodying the idea of "where to produce and where to consume". The industrial cloud platform does not need to have a detailed understanding of the specific operating parameters of the manufacturing service. It only needs to obtain the dynamic information of the manufacturing service from the edge computing device in real time, and inform all relevant service providers and service demanders. The notification sent by the industrial cloud platform received by the relevant object is related to itself, rather than redundant and useless. This reduces the pressure on network broadband and improves the utility of both parties. After the service demanders who join the industrial cloud platform perform the first matching of manufacturing services based on the static information of manufacturing services, they adjust the manufacturing services again according to the received real-time updated service information to ensure high-quality tasks, low prices as much as possible, and processing The time is as short as possible to complete.

2) Update the dynamic information of the service and send a notification. When a manufacturing service performs a task, the edge computing device updates the dynamic information of the service, and sends a general notification to the relevant objects through the industrial cloud platform: the demander who is served, the demander waiting for the service, and the service provider who joined the task execution. The serviced demander knows the implementation progress of the manufacturing service and plays a supervisory role. The demanders waiting for the service have a deeper understanding of the service situation, predict the results of their task execution in advance, and adjust the choice of service providers in a timely manner. The service provider who joins the task execution adjusts its production plan according to the progress of the task execution, which greatly improves the completion time and quality of the task. The industrial cloud platform also sends emergency notifications. Emergency notifications are prioritized over general notifications. The edge computing device detects a service anomaly and reports it to the industrial cloud platform, and the industrial cloud platform needs to send an emergency notification to the relevant object for emergency treatment.

3) Improve the satisfaction of service demanders. The industrial cloud platform can dynamically adjust the service price paid by the service demander according to the waiting time of the service demander and the service evaluation level, so as to protect the interests and satisfaction of the service demander.

Description of drawings

FIG. 1 is a schematic diagram of the manufacturing service update architecture of the present invention;

Fig. 2 is a schematic diagram of the service updating process in the service matching process of the present invention;

FIG. 3 is a schematic flowchart of service update and service notification during task execution in the present invention.

Detailed ways

The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

Example 1

Referring to FIG. 1 , this embodiment implements a real-time update system for manufacturing service information of micro-ring parts, including an industrial cloud platform, a service provider terminal and a service demander terminal.

The service provider terminal publishes relevant information on the manufacturing resources it owns on the industrial cloud platform, such as equipment scale, product type and production capacity, etc. The service demander terminal publishes relevant information on manufacturing tasks on the industrial cloud platform, such as the type of products required, quality requirements, and delivery dates. After receiving the demand information, the industrial cloud platform searches and matches the manufacturing services, and distributes the appropriate services to the demanders.

The service provider terminal is located on the cloud service supply side, and the service provider virtualizes its own processing equipment and connects it to the industrial cloud platform to form manufacturing services. According to the current status of the service provider, it can be divided into three categories: idle, joining to perform tasks, and performing tasks. When a certain manufacturing service is in the idle state, the next stage is in the join execution task or execution task state. The service update notifications sent by the industrial cloud platform are different for service providers in different states. The edge computing device detects whether the dynamic information of the service (evaluation information and status information) has changed through the collection, preprocessing and calculation of the data of the on-site processing equipment, 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.

The service demander terminals on the cloud service demand side can be divided into three categories: newly joined service demanders, demanders waiting for services, and service demanders whose tasks are executed. After the service demander joins the industrial cloud platform, the next stage is waiting for the service or task execution. Service demanders at different stages care about different service information, and the industrial cloud platform selectively sends notifications to service demanders.

The industrial cloud platform includes a storage module, a demand information acquisition module, a real-time service matching module, a service price generation module, a demand-side communication module and a manufacturing service selection module. Wherein, the storage module is used to store the manufacturing service information released by the service provider terminal, the manufacturing service information includes static information and dynamic information, and the static information includes the basic information of the manufacturing service (service number, service name, service type, etc. ) and functional information (machinable part category, precision, size, etc.), the dynamic information includes evaluation information, status information and price information, the evaluation information is generated after the manufacturing service completes a task, and the status information includes idle, joining execution Tasks and Executing Tasks. The demand information acquisition module is used to receive the demand information released by the service demander, including the type of the required product, quality requirements and delivery date, etc. The service real-time matching module is used to match the demand information with the static information to obtain a matching result. The demand-side communication module is used to communicate with the service demander terminal, and the communication content includes matching results, first selection information for the matching results, real-time dynamic information, and second selection information for the real-time dynamic information. The service price generation module, in response to the first selection information, is used to call the real-time evaluation information and status information of the manufacturing service corresponding to the service provider terminal according to the first selection information, generate the price information of the manufacturing service, and form a real-time dynamic information. A manufacturing service selection module, configured to update the status of the service demander according to the second selection information.

The price information is obtained by the following formula:

对应服务的评价等级；t_md表示服务需求商愿意等待的最大时间；t_w表示新加入的服务需求商的等待时间。In the formula, w _e and w _w represent service evaluation information and the impact ratio of the waiting time of new service demanders on service price; P _base represents the basic price of service;

The evaluation level of the corresponding service; t _md represents the maximum time that the service demander is willing to wait; t _w represents the waiting time of the newly joined service demander.

The status of the service demander includes a newly joined service demander, a service demander waiting for a service, and a service demander whose task is executed. The communication content also includes notification information about the waiting service sent to the service demander waiting for the service.

The service provider terminal includes edge computing equipment, which is used to detect whether the dynamic information of manufacturing services has changed in response to the calling instructions of the industrial cloud platform, and generate real-time evaluation information and status information to the industrial cloud platform when changes occur.

The specific acquisition process of the real-time evaluation information and status information is as follows:

Obtain the current status of manufacturing services, if the current status is idle, there will be no update information;

If the current state is the state of executing ordinary tasks, only the state information is updated by the following formula:

t _w ＝t _c +t _o +t _r

In the formula, t _w represents the waiting time of the newly added service demander, t _c , t _o , t _r represent the completion time of the current task of the service, the processing time of the scheduled task and the maintenance time of the service respectively;

If the current state is the state of executing the joining task, the state information is only updated by the following formula:

t _w ′=t _co +t _t

In the formula, t _w ′ represents the waiting time of the franchised supplier, and t _co and t _t represent the time for the cooperative supplier to perform the task and the time for the transmission task respectively;

If the current state is the state of just completing the task, update the evaluation information and state information at the same time, and the state information is the sum of the processing time and maintenance time of the scheduled task of the service.

As shown in Figure 2 and Figure 3, the information update process of the above-mentioned real-time update system for manufacturing services of miniature ring parts is as follows:

S101: The service provider logs in to the industrial cloud platform and publishes services. The extensible markup language (eXtensibleMarkup Language, XML) is used to describe the model to express the basic information and functional information of the service. The evaluation information, status information, and price information of manufacturing services belong to the dynamic information of the service, which is supplemented and updated in real time as the service performs tasks. Since this patent focuses on the real-time update of manufacturing services, its static information will not be discussed in detail.

S102: The service demander logs into the industrial cloud platform, and publishes its manufacturing tasks and technical requirements.

S103: The industrial cloud platform matches the appropriate service and pushes it to the service demander according to the basic information and functional information of the service.

S104: The service demander selects the service pushed by the industrial cloud platform for the first time.

S105: According to the service selection result of the service demander, the industrial cloud platform sends it to the edge computing device of each service, and requests the edge computing device to obtain the evaluation information and status information of each service according to the real-time data analysis of the processing site.

S106: After receiving the request from the industrial cloud platform, the edge computing device first detects whether the service is working.

S107: If the service is in the idle stage, the edge computing device informs the industrial cloud platform that the service dynamic information has reached the latest and does not need to be updated.

S108: If the edge computing device detects that the service is working, continue to detect whether the service has finished executing the current task.

S109: If the edge computing device detects that the service is executing the current task, the edge computing device updates the status information of the service. Status information is quantified by the waiting time of newly joined service demanders. At this time, the edge computing device updates the completion time of the current task of the service and the completion time of the scheduled task of the service, and then determines the waiting time of the newly added service demander. However, the evaluation information is still the evaluation information when the last task of the service is completed, and has not been updated. The status information of the service can be expressed by formula (1).

t _w ＝t _c +t _o +t _r (1)

In the formula, t _w represents the waiting time of the newly added service demander, t _c , t _o , t _r represent the completion time of the current task of the service, the processing time of the scheduled task and the maintenance time of the service respectively.

S110: If the edge computing device detects that the service has just completed the current task, it needs to update the evaluation information and status information of the service. The service evaluation is divided into five grades: excellent, good, medium, pass, and poor, corresponding to the intervals (0.8,1], (0.6,0.8], (0.4,0.6], (0.2,0.4], (0, 0.2]. The state information is quantified by the waiting time of the newly added service demander, that is, the sum of the processing time and maintenance time of the scheduled task of the service.

S111: The edge computing device sends the updated evaluation information and status information to the industrial cloud platform.

S112: The industrial cloud platform dynamically determines the price of the service according to the evaluation information and status information of the service. The dynamic change of price takes into account the fairness concerns of service demanders, and can adjust service demand to avoid task blocking. Service price can be determined according to formula (2).

对应服务的评价等级，其取值范围为(0,1]；t_md表示服务需求商愿意等待的最大时间，超过该时间，服务需求商会产生不满情绪；t_w表示由步骤S109或S110确定的新加入的服务需求商的等待时间。In the formula, w _e and w _w represent service evaluation information and the impact ratio of the waiting time of new service demanders on service price; P _be represents the basic price of service;

Corresponding to the evaluation level of the service, its value range is (0,1]; t _md represents the maximum time that the service demander is willing to wait, beyond this time, the service demander will feel dissatisfied; t _w represents the value determined by step S109 or S110 The waiting time for newly added service demanders.

S113: The industrial cloud platform sends the updated service evaluation information, status information and price information to the newly joined service demander.

S114: According to the service dynamic information sent by the industrial cloud platform, the newly joined service demander selects the service for the second time in the service set selected for the first time.

S115: After the newly added service demander makes a choice for the service, it will enter the stage of task execution or waiting for task execution.

S116: If the task of the newly added service demander is executed, the edge computing device updates the status information of the service according to the data collected on site. The status information covers the time when the current task has been executed and the waiting time for the demander being served.

S117: The edge computing device detects whether the status information of the service is normal. If there is an exception, the edge computing device analyzes the fault and reports it to the industrial cloud platform.

S118: The industrial cloud platform sends a notification to relevant objects: the demander being served, the demander waiting for the service, the service provider performing the task, and the franchised supplier providing subsequent services. The notifications sent at this time are urgent notifications, which have priority over general notifications.

S119: The industrial cloud platform and the service provider performing the task take corresponding measures. The service provider performing the task conducts a timely status assessment of the service. If the service cannot return to normal in a short period of time, the industrial cloud platform will reconfigure and schedule the service to minimize losses.

S120: If the edge computing device detects that the status information of the service is normal, the industrial cloud platform will inform the service provider of the service status information, the service provider waiting for the service, the service provider performing the task, and the service provider joining the task execution business. The industrial cloud platform informs the corresponding demander of the waiting time and price of the demander who has booked the service, so that the demander who is waiting for the service can predict the result of being served and adjust the scheduled service in time. The waiting time and service price of the demanders waiting for the service can be calculated by formulas (1) and (2) respectively. Complex tasks require multiple service providers to complete. The franchised suppliers keep abreast of the service progress and adjust the service plan. The waiting time for joining suppliers to perform tasks includes the time for performing tasks and the time for transmitting tasks of previous cooperative suppliers, 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 relevant objects, invalid update notifications are avoided.

t _w '=t _co +t _t (3)

In the formula, t _w ′ represents the waiting time of the joining supplier, and t _co and t _t represent the time for the cooperative supplier to perform the task and the time to transmit the task, respectively.

S121: After the task order is completed, the industrial cloud platform evaluates the service according to the task execution status, and determines the price that the service demander should pay according to the formula (2). The service demander pays according to the price information.

S122: The merchant waiting for the service will receive a general notification and an emergency notification about the waiting service sent by the industrial cloud platform. The information included in the general notification has been discussed in step S120. Urgent notification means that the service is abnormal.

S123: The demander waiting for the service will predict the result of his task execution according to the notification sent by the industrial cloud platform, and negotiate and adjust the selected service.

Example 2

A manufacturer needs to process miniature ring parts. The processing steps of such parts include: laser engraving, light profile and quality inspection. According to the basic information and functional information of each manufacturing service, the industrial cloud platform automatically matches {A, B, C} services that can complete laser engraving, {D, E} services that complete light cutting, and {D, E} that complete quality inspection services. {F}. It is assumed that the information of each service is shown in Table 1.

Table 1 Information of each service

Note: Service C is a new service released by the service provider, and currently there is no evaluation information. The service needs to perform maintenance every time it completes a task.

The industrial cloud platform first requests the edge computing devices of services A, B, and C to detect the dynamic information of services A, B, and C.

1) The edge computing device detects that service A is not currently performing tasks, and the edge computing device informs the industrial cloud platform that the dynamic information of 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 hours left to complete the current task, and there are currently 2 tasks waiting for service B to execute. According to formula (1), if the manufacturer chooses service B, the waiting time is:

t _w =2+0.5×3+3×2=9.5h

At this time, the evaluation information of service B has not changed. Assuming that the maximum time t _md that the manufacturer is willing to wait in the laser engraving stage is 5h, the evaluation level and the waiting time are equally important to the manufacturer, that is, w _e =w _w =0.5h. The industrial cloud platform uses the formula (2) to calculate the price of service B at this time according to the status information (the waiting time of the manufacturer) 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 one task to execute. If a newly joined service demander chooses service C, the waiting time according to formula (1):

t _w =2+0.3×2=2.6h

The industrial cloud platform determines the evaluation level of service C to be 0.6 according to the product qualification rate, etc., and the price of service C at this time can be calculated by formula (2):

P=0.5×600×0.6+0.5×600=480

Table 2 Updated information for each service of laser engraving

Table 2 shows the updated information of laser engraving services A, B, and C.

The manufacturer chooses service A to complete the laser engraving according to the updated information of each laser engraving service sent by the industrial cloud platform. The selection of laser engraving and quality inspection services is the same as the selection process of laser engraving services, and will not be introduced in detail. The manufacturer finally chooses service A, D, and F to complete the laser engraving, light profile and fine processing of the part respectively. Assume that the transit time of WIP between services A, D, and F is t _AD =2h, t _DF =2.5h, respectively.

When the part is laser engraved, the edge computing device updates the status information of Service A in real time. It takes 4 hours for service A to complete the laser engraving. If it has been completed for 2 hours, the manufacturer needs to wait for the laser engraving to complete for 2 hours. If a new service demander joins the industrial cloud platform at this time and chooses service A, the waiting time and service price to be paid are:

It can be seen from Table 1 that the time for service D and service F to enter the part profile and fine processing is 6h and 8h respectively. Calculate the waiting time for service D and service F to enter the profile and quality inspection according to the formula (3):

The industrial cloud platform will inform manufacturers that the time to wait for laser engraving to be completed is 2 hours, the time for new service demanders to join is 2.2 hours and the expected price to be paid is 360, the waiting time for service D to enter the laser engraving is 4 hours, and service F The waiting time for entering 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 completes the payment for service A, it will enter the stage of cutting and quality inspection in turn. The service update process is similar to the laser engraving process, and will not be introduced in detail.

The preferred specific embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make many modifications and changes according to the concept of the present invention without creative efforts. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning or limited experiments on the basis of the prior art 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:

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;

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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