CN115689503A - Multi-end project cooperation system and information co-construction method thereof - Google Patents

Multi-end project cooperation system and information co-construction method thereof Download PDF

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CN115689503A
CN115689503A CN202210972777.9A CN202210972777A CN115689503A CN 115689503 A CN115689503 A CN 115689503A CN 202210972777 A CN202210972777 A CN 202210972777A CN 115689503 A CN115689503 A CN 115689503A
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business
retrieval
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service unit
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孔海侠
潘丽君
刘方萍
赵丹丹
孔凡立
陈兆平
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Jiangsu Beichen Intellectual Property Firm Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The application provides a multi-terminal project cooperation system and an information co-construction method thereof. According to the method and the system, the research and development project cooperation process between enterprises is disassembled into assembly line type service steps executed by each independent service unit, and the flexible adjustment of the cooperation mode can be realized by flexibly adjusting the port connection relation between each service unit. In addition, each business unit is further arranged to push the business process data to the log storage port according to a preset rule, so that the business process data are stored in a corresponding project list to provide data backup for a subsequent research and development process and serve as a basis for related technology retrieval and pushing. According to the method and the system, the research and development process of the whole product can be realized by coordinating external mechanisms together through a relatively flexible networking cooperation mode in front of the service unit.

Description

Multi-end project cooperation system and information co-construction method thereof
Technical Field
The application relates to the technical field of digital project management, in particular to a multi-end project cooperation system and an information co-construction method thereof.
Background
The existing research and development project management technology can only adapt to certain narrow industries or subdivision fields, and supervision is carried out according to a preset specific flow. When a large enterprise covers a plurality of subsidiaries and requires the subsidiaries and external enterprise departments to cooperate with each other to realize large-scale, high-volume and cross-industry-field large research and development project management, the existing project management system often generates a large amount of resource waste due to a plurality of project coordination links and a lag management mode, and even cannot respond to special project requirements in time to restrict communication flows among all the departments.
Disclosure of Invention
Aiming at the defects of the prior art, the multi-end project cooperation system and the information co-construction method thereof are provided, the monitoring and control of the precision of each end are realized through the upstream and downstream connection of the project flow of the flexibly-networked service unit time and the overall service process state, and the management of the project in the whole stage and the whole flow is realized. The technical scheme is specifically adopted in the application.
First, to achieve the above object, a multi-end project collaboration system is provided, which includes: the system comprises a plurality of business units, a plurality of service units and a plurality of service units, wherein the business units are respectively connected with each enterprise department and are provided with a demand receiving port (D _ in), a technology extracting port (C _ in), a delivery output port (D _ out), a resource output port (C _ out) and a log storage port (M), each business unit respectively receives delivery content and business requirements output by a superior business unit through the demand receiving port, executes corresponding business processes according to the business requirements, automatically pushes business process data to the log storage port according to preset rules, pushes the delivery content and the business requirements of the business unit to the delivery output port after the business process is completed, and acquires business related technical information through the technology extracting port to assist the business process, arranges and files business resources according to the business process data, and outputs the business resource data to other business units responsible for research and development of resource management through the resource output port. The service log storage system is connected with the log storage port of each service unit in a butt joint mode, and is used for acquiring the service process data of each service unit according to the rule set by each service unit, storing the service process data into a corresponding project list according to the current service process state of each service unit, correspondingly marking the service unit identity and the storage time of each service process data in the project list during storage, and providing the corresponding service process data for each service unit according to the current service process state of each service unit. The technical database is in butt joint with technical extraction ports of all the service units and used for extracting service process data contained in all item lists in the service log storage system according to a preset period, extracting retrieval features in the service process data according to a pre-trained keyword model, constructing an extended query model according to historical query results corresponding to the retrieval features, expanding all the retrieval features according to the extended query model to obtain a target retrieval formula, querying service related technical information according to the target retrieval formula and automatically pushing the queried service related technical information to the corresponding service units. The connection relation among all the service units is dynamically switched according to the current service process state.
Optionally, in the multi-end project collaboration system as described in any of the above, a service process state of each service unit is marked by a globally visible User Visible Entity (UVE) in the system, service process state data in the User Visible Entity (UVE) is encrypted, and an encryption key corresponding to each service process state is updated to a project list corresponding to the service process state in a service log storage system according to a preset period.
Optionally, in the multi-end project collaboration system as described in any of the above, the specific steps of the technical database extracting search features in the business process data according to the pre-trained keyword model include: step a1, extracting state parameters indicating business states correspondingly according to storage rules of business process data, and determining a corresponding retrieval feature expansion library according to the state parameters; step a2, calling a conditional random field model to perform word segmentation processing on business process data, and sequentially inputting each single word obtained by word segmentation into an SBERT feature extraction algorithm according to the sentence sequence of the single word to perform semantic feature extraction to obtain a semantic feature vector; and a3, screening out search keywords from each word obtained by word segmentation according to the semantic feature vector, inputting the search keywords into a search feature expansion library, and expanding the search keywords to obtain search features.
Optionally, in the multi-end project collaboration system as described in any of the above, the specific step of the technical database constructing an expanded query model according to the historical query result corresponding to the retrieval feature includes: step b1, inputting all retrieval features into a historical retrieval library, extracting historical query results under different combination modes among the retrieval features, and screening out retrieval feature combination modes marked as negative directions in the historical query results; and b2, combining the rest retrieval characteristics according to the retrieval keywords corresponding to the rest retrieval characteristics, combining the retrieval characteristics corresponding to the same retrieval keyword with OR logic, and combining the retrieval characteristics corresponding to different retrieval keywords with AND logic to construct an expanded query model.
Optionally, in the multi-end project collaboration system as described in any of the above, the specific step of the technical database expanding each retrieval characteristic according to the expanded query model to obtain the target retrieval formula includes: according to various combination modes of respectively traversing the retrieval characteristics of the expanded query model, respectively executing the following steps for each combination mode: step c1, respectively extracting a superior feature set, a process feature set, a material feature set and a structural feature set of each retrieval feature in the combination mode; step c2, pre-searching two search features by mutually combining the superior feature set, the process feature set, the material feature set and the structural feature set, and screening the set with the most search results; and c3, expanding the retrieval characteristics by the set obtained by screening in the step c2 to obtain a target retrieval formula.
Optionally, the multi-end project collaboration system as described in any of the above, wherein the technology database is accessed to a patent, a thesis, a conference, a research institution-related website or database through a universal adaptation interface; the general adaptive interface executes the following steps based on the API interface to acquire data in relevant websites or databases of patents, treatises, meetings and research institutions: step s1, interacting with a website or a database related to a patent, a thesis, a conference and a research institution through a virtualization layer to obtain interface configuration information of the website or the database; step s2, constructing a coupling layer according to the interface configuration information, butting the coupling layer with corresponding patent, thesis, conference and related websites or databases of research institutions, and acquiring corresponding data according to interaction rules specified by the interface configuration information; and step s3, converting the data obtained in the step s2 into a transmission format matched with the service unit, and pushing the service related technology information obtained by inquiry to the corresponding service unit.
Meanwhile, the present application also provides an information co-construction method for the multi-end project collaboration system, which includes the steps of: step one, constructing the connection relation among a demand receiving port (D _ in), a delivery output port (D _ out) and a resource output port (C _ out) among service units corresponding to each enterprise department according to the superior and inferior butt-joint parties of each enterprise department in a project, and setting the service process state of each service unit according to the content of the project; secondly, each service unit correspondingly receives the delivery content and the service requirement output by the superior service unit through a requirement receiving port according to the current service process state, executes the corresponding service process according to the service requirement, automatically pushes the service process data to a log storage port according to a preset rule, pushes the service related technical information to each service unit through a technical extraction port according to the service process data contained in each item list in a service log storage system to assist the service process, and pushes the delivery content and the service requirement of the service unit to a delivery output port after the service process is finished; thirdly, triggering each service unit to arrange and file service resources synchronously according to the service process data when outputting the delivery content, and outputting the service resource data to other service units responsible for researching and developing resource management through a resource output port; and fourthly, triggering to close the corresponding service process state after the project is finished, and correspondingly triggering each service unit to switch the service process state according to a preset progress index during the project.
Optionally, in the information co-construction method, different service process states are respectively matched with connection relationships between corresponding service units; in the service log storage system, the service process data are stored into a corresponding project list according to the current service process state of each service unit, and the service unit identity and the storage time of each service process data are correspondingly marked and uploaded in the project list during storage; and the service log storage system is also used for providing corresponding service process data which is stored in the service log storage system and is matched with the current service process state of the service unit to the service unit when the last-stage service unit of the service unit is in another service process state according to the current service process state of each service unit.
Optionally, in the information co-construction method, an internal globally visible User Visible Entity (UVE) is marked, service process state data in the User Visible Entity (UVE) is stored in a secret document after encryption processing, and an encryption key corresponding to each service process state is updated to an item list corresponding to the service process state in a service log storage system according to a preset period; when each service unit calls corresponding service process data matched with the current service process state from the service log storage system, the service log storage system calls each encryption key according to a sequence from new to old until the service process state of the service unit is decrypted, and then sends the corresponding service process data stored before the encryption key to the service unit.
Optionally, in the information co-construction method, the service process state of each service unit is dynamically switched according to a preset time limit, historical completion time, and an industry completion period, and before switching, a time limit reminder is pushed to the device to which the corresponding service unit belongs according to a predetermined mode.
Advantageous effects
The application provides a multi-end project cooperation system and an information co-construction method thereof, which are used for disassembling a research and development project cooperation process between enterprises into pipeline type service steps executed by independent service units, and realizing flexible adjustment of a cooperation mode by flexibly adjusting port connection relations between the service units. In addition, each business unit is further arranged to push the business process data to the log storage port according to a preset rule, so that the business process data are stored in a corresponding project list to provide data backup for a subsequent research and development process and serve as a basis for related technology retrieval and pushing. According to the method and the system, the whole product research and development process can be realized by coordinating external mechanisms together through a relatively flexible networking cooperation mode in front of the service unit. The method and the system can automatically check and compare with the published related technologies of the existing products in the initial stage of product research and development by monitoring the business process data, automatically push the data to related research and development personnel, determine the correlation of the technologies, and correspondingly trigger and modify the establishment according to the infringement early warning condition. The method and the system can realize the cooperative management of a complete project of a product from research and development establishment to product change into a physical product.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the present application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not limit the application. In the drawings:
FIG. 1 is a schematic diagram illustrating a connection relationship between unit modules in a multi-end project collaboration system according to the present application;
FIG. 2 is a schematic illustration of a project collaboration management process for which the present application is directed;
FIG. 3 is a schematic diagram of a storage schema in the log data storage system of the present application;
Detailed Description
In order to make the purpose and technical solutions of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings of the embodiments of the present application. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the application without any inventive step, are within the scope of protection of the application.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The meaning of "and/or" as used herein is intended to include both the individual components or both.
The term "connected" as used herein may mean either a direct connection between components or an indirect connection between components via other components.
FIG. 1 is a multi-end project collaboration system according to the present application, including:
and each business unit is respectively connected with different enterprise departments. Each service unit is respectively provided with a demand receiving port (D _ in), a technology extraction port (C _ in), a delivery output port (D _ out), a resource output port (C _ out) and a log storage port (M). Therefore, each business unit receives the delivery content and the business requirement output by the superior business unit through the requirement receiving port respectively, executes the corresponding business process according to the business requirement, automatically pushes the business process data to the log storage port according to the preset rule, pushes the delivery content and the business requirement of the business unit to the delivery output port after the business process is finished, acquires the business related technical information through the technical extraction port respectively in the corresponding business process to assist the business process, arranges and files the business resources according to the business process data, and outputs the business resource data to other business units in charge of resource research and development management through the resource output port;
the service log storage system is butted with a log storage port of each service unit, is used for acquiring service process data of each service unit according to a rule set by each service unit, stores the service process data into a corresponding project list according to the current service process state of each service unit, correspondingly marks the service unit identity and the storage time of each service process data in the project list during storage, and is also used for providing the corresponding service process data for each service unit according to the current service process state of each service unit; in the storage process, the service log storage system can realize the protection of data security through a block chain technology, for example, a stored public address is used as a public key for asymmetric encryption, and private keys are respectively stored in corresponding service units in a service process state, so that each service unit encrypts data description, key data and sensitive characters through the private key when uploading service process data, and all service process data can be directly encrypted through the private key for projects with higher security level. In the data transmission process, the service unit encrypts a storage address request by a public key periodically, the service log storage system encrypts an address fed back to the service unit by using a private key of the service unit after receiving a correctly encrypted storage address, and the corresponding service unit directly packages and uploads the service process data obtained by encrypting the same encryption rule as the encrypted address in a blank frame after the address after receiving the encrypted address, so that the transmission process of each service process data is confirmed, and authentication marking is realized on two interactive parties in a secret key mode.
A technical database which is connected with technical extraction ports of all the service units and is used for extracting service process data contained in all item lists in the service log storage system according to a preset period, extracting retrieval features in the service process data according to a pre-trained keyword model, constructing an expansion query model according to historical query results corresponding to the retrieval features, expanding all the retrieval features according to the expansion query model to obtain a target retrieval formula, querying service related technical information according to the target retrieval formula and automatically pushing the queried service related technical information to the corresponding service units
For the development project shown in fig. 2, the system described above may be arranged to operate as follows:
firstly, before setting up items, a business unit to which a customer manager belongs collects customer requirements, writes customer research materials and submits the customer research materials to a research and development department to set up an item report, the research and development department and a corresponding partner receive the item report through the business unit, after the corresponding research and development items are set up, a project manager business unit is triggered to correspondingly establish the connection relation of a requirement receiving port (D _ in), a delivery output port (D _ out) and a resource output port (C _ out) among the business units corresponding to each enterprise department according to the superior and inferior butt-joint parties of each enterprise department in the project, and independent business process states are respectively set for each project and are transmitted to the corresponding business units. The connection relation between the service units can be set to be dynamically switched in real time according to the current service process state of the service unit.
Secondly, in the research and development process of the project entity, the system correspondingly operates in a coordinated mode as follows to meet the project requirements:
each business unit of each unit or department receives the delivery content and the business requirement output by the corresponding superior business unit in the project through the requirement receiving port according to the current business process state, executes the corresponding business process according to the business requirement, automatically pushes the business process data to the log storage port according to the preset rule, pushes the business related technical information to each business unit through the technical extraction port according to the business process data contained in each project list in the business log storage system to assist the business process, and pushes the delivery content and the business requirement of the business unit to the delivery output port after the business process is finished;
thirdly, triggering each service unit to arrange and file service resources synchronously according to the service process data when outputting the delivery content, and outputting the service resource data to other service units responsible for researching and developing resource management through a resource output port;
and fourthly, triggering to close the corresponding service process state after the project is finished, and correspondingly triggering each service unit to switch the service process state according to a preset progress index during the project.
Therefore, the system can manage various projects in the enterprise research and development process. In some application scenarios, a large enterprise has many subsidiaries, and one project needs each subsidiary company or an external organization to cooperate with each other for research and development.
For the initial development and development process of the product and the entity development and development process of the product, the disclosed related technologies of the existing product, including patent technologies, or documents, or papers, which are retrieved from the technology database can be automatically received through the technology extraction port (C _ in) of the corresponding service unit, and the related technologies are automatically searched, compared and duplicated at one time. If the system automatically inquires the relevant index documents to be pushed, the exact relevance of the technology is determined after the research personnel manually compares the relevant index documents for the second time, and then the infringement risk prompt can be realized, the research and development direction can be timely updated, and the research and development means can be improved. If the correlation between the prepared product and the technology for system to check is not large or is lower than a certain standard, the product is considered to be feasible without early warning. In this way, the research personnel or research and development responsible personnel of each business unit can correspondingly feed back the business units the superior or the direct feedback is triggered to carry out the re-modification of the project by the system management department.
The retrieval of the prior art can be directly based on the service process data automatically updated and stored in the service log storage system to realize automatic retrieval and pushing.
Firstly, extracting retrieval characteristics in business process data according to a pre-trained keyword model by a technical database in the following mode: step a1, extracting state parameters indicating business states correspondingly according to storage rules of business process data, for example, obtaining corresponding business process data corresponding to retrieval data information or obtained by software simulation according to the storage rules of the business process data, and then determining a retrieval feature expansion library matched with the retrieval data information or the software simulation process according to the state parameters, for example, setting the retrieval feature expansion library as an alias, a name, an abbreviation and English containing corresponding academic terms through pre-training when retrieving the data information; when the software is simulated, the corresponding retrieval feature expansion library is set to contain judgment rules corresponding to different error reporting types or different debugging directions through model training so as to obtain the expected effect in the software simulation process through the data record of the software simulation process; step a2, calling a conditional random field model to perform word segmentation processing on business process data, sequentially inputting each single word obtained by word segmentation into an SBERT feature extraction algorithm according to the sentence sequence of the single word to perform semantic feature extraction, and obtaining a semantic feature vector, wherein the SBERT feature extraction algorithm can be set to train only system errors, log contents formed by repeated adjustment and question sentences in a pre-training process, so that only semantic features representing problems occurring in the research and development process are extracted during the semantic feature extraction, thereby screening the interference of transaction data records on a retrieval model and only retrieving the question in the business process; step a3, screening out search keywords from each word obtained by word segmentation processing according to the semantic feature vector, inputting the search keywords into a search feature expansion library, and expanding each search keyword to obtain search features;
then, the technical database continues to construct an extended query model according to the historical query result corresponding to the retrieval characteristics in the following manner: step b1, inputting all retrieval features into a historical retrieval library, extracting historical query results under different combination modes among the retrieval features, screening out a retrieval feature combination mode marked as negative in the historical query results, and marking the retrieval results automatically in a log mode according to the processing condition of a specific service unit on pushed technical information, for example, when the browsing time of the certain service unit on the certain technical information obtained through service process data is longer or more times, marking the historical query results corresponding to the technical information as positive, otherwise, when the browsing time of the certain service unit on the certain technical information obtained through the service process data is shorter or less times, marking the historical query results corresponding to the technical information as negative; b2, combining the rest retrieval characteristics according to the retrieval keywords corresponding to the retrieval characteristics, combining the retrieval characteristics corresponding to the same retrieval keywords with OR logic, combining the retrieval characteristics corresponding to different retrieval keywords with AND logic, and constructing an expansion query model to correspondingly expand the retrieval characteristics according to the adoption condition of historical query results so as to extract the required retrieval direction from each database as much as possible;
finally, the technical database further expands each retrieval characteristic according to the expansion query model to obtain a target retrieval formula according to the following modes, so that the service related technical information is queried according to the target retrieval formula and the queried service related technical information is automatically pushed to a corresponding service unit: according to various combination modes of the expanding query model respectively traversing the retrieval characteristics, the following steps are respectively executed for each combination mode: step c1, respectively extracting a superior feature set, a process feature set, a material feature set and a structure feature set of each retrieval feature obtained by pre-training in the combination mode; step c2, pre-searching any two search features according to the mutual combination of an upper feature set, a process feature set, a material feature set and a structure feature set, traversing all the modes of pairwise combination among the search features, and screening a plurality of sets with the most reserved search results; and c3, expanding the retrieval characteristics by the set obtained by screening in the step c2 to obtain a target retrieval formula, and inputting the target retrieval formula into each database for relevant retrieval. In the step, the expansion sets of the retrieval characteristics are arranged and combined in the target retrieval formula, so that the retrieval surface can be expanded as much as possible through the retrieval formula, and the missing of the retrieval is avoided.
In order to ensure the comprehensiveness of the retrieval, the system of the application can further access the technical database to relevant websites or databases of patents, articles, meetings and research institutions through a universal adaptive interface. The universal adaptation interface provided by the application is based on an API interface and can be set to acquire data in relevant websites or databases of patents, treatises, meetings and research institutions in the following ways:
step s1, setting a virtualization layer at the rear end of an API interface, and correspondingly obtaining interface configuration information of each website or database according to the receiving or processing process of a data stream by the AIP interface when the AIP interface is used for interacting with the corresponding websites or databases related to patents, articles, meetings and research institutions;
step s2, constructing a coupling layer matched with interface configuration information of a website or a database on an API interface according to the interface configuration information, butting the coupling layer with corresponding websites or databases related to patents, papers, meetings and research institutions, and acquiring corresponding data according to interaction rules specified by the interface configuration information;
and step s3, converting the data obtained in the steps into a transmission format matched with the service unit in a corresponding information processing unit in the technical database, inquiring the identity of the service unit corresponding to the data according to the service process data based on retrieval, pushing the service related technical information obtained by inquiry to the service unit, and comprehensively studying and judging the service unit of a management side of the service unit.
In consideration of the fact that a plurality of projects may be crossed and pushed in parallel in the common development process. The method and the system also set the schedule time limit requirements of different projects marked by the service process states in each service unit, and carry out overall supervision on the overall conditions of the projects. Under the mechanism, the service process state of each service unit is marked by a globally visible User Visible Entity (UVE) in the system, the service process state data can be added with a plurality of continuous '0's or a plurality of '1's at regular intervals as a check mark according to a certain rule at the tail part or a plurality of fixed bits of the byte, and after the service process state data is encrypted in the User Visible Entity (UVE), whether the decryption is accurate is judged by checking the number of the '0' bits or the '1' bit position of the data obtained by decryption. And the encryption keys corresponding to the business process states are updated to the business log storage system together with the business process data according to a preset period, the keys can be provided with independent pointers to identify the storage sequence of the keys, and the keys of the business process state data corresponding to the business units and the business process data of the business units are stored to the item list corresponding to the business states in a matching mode. The different service process states of each service unit are respectively matched with the service cooperation connection relation between the corresponding service units, namely, the connection relation of ports between different service units in the system is switched depending on the service process states of each service unit.
In order to distinguish respective research and development process data of each parallel project in a service log storage system, the service log storage system stores the service process data of each service unit into a corresponding project list according to the current service process state of each service unit, and correspondingly marks the service unit identity and the storage time of each service process data in the project list during storage.
In order to ensure data security, the service log storage system further performs decryption verification on the service process state data corresponding to each service unit, so as to verify the service process data reading authority in the system. The service log storage system may be specifically configured to provide, to a service unit, corresponding service process data stored in the service log storage system and matching the current service process state of the service unit when the service unit needs to obtain service data of a previous stage while the service unit is in another service process state according to the current service process state of each service unit. Therefore, referring to fig. 3, the service log storage system stores the service process data of each service unit and the key corresponding to the status of each service process according to different projects and the time sequence uploaded by different service units in each project.
When each service unit calls corresponding service process data matched with the current service process state from the service log storage system, the service log storage system firstly calls each encryption key one by one according to a new-to-old sequence to try to decrypt the service process state until the correct decrypted service process state is obtained according to the judgment of the coding rule of continuous '0' or interval '1' of a specific position corresponding to the service process state data. Therefore, after the business process state data value accords with the preset value judgment index, the business process data matched with the key used for decryption can be packaged to the business unit sending the business process state data. Generally, to ensure service continuity and avoid unauthorized access of data by a service unit, the packaged service process data may be set to limit the corresponding service process data stored in the entry list before the decryption key update time. If the business data is updated afterwards, the business unit needing to call the business process data can be prompted in a notification mode, so that business personnel can actively contact other business units to confirm the update information and obtain the calling authority.
Each business unit can also upload the business process data to the business log storage system according to a preset interval period, and simultaneously, regularly update the encryption key of the business process state data, and correspondingly mark the update sequence of the data according to the update sequence. Therefore, the system can supervise the working progress of each service unit according to the service process state data of the service units: according to a preset time period T e Historical completion time T h And an industry completion period T d When the duration of a certain service process state is monitored or the number of times of updating secret key exceeds or approaches to a preset value, an instruction for triggering the service unit to dynamically update the state of the service process switching is sent to the corresponding service unit, and the preset value T of the state of the service process switching can be set to be a preset value T
Figure BDA0003797438780000161
Wherein w e 、w h 、w d Respectively representing the weights of a preset time limit, historical completion time and an industry completion period, wherein alpha is the proportion of the tasks required to be executed by the service unit to the service volume of the whole project; thereby. After each service unit obtains the instruction, the service unit firstly pushes the deadline prompt to the equipment to which the corresponding service unit belongs for multiple times before 1 week, 1 day and 1 hour before the deadline is ended according to a preset mode before executing the switching operation, and then correspondingly updates the previous service to the service log storage system when the service process state is actually executed and switchedAfter the data backup work is done, the service unit is switched to other service process states in dependence so as to change the butt-joint party of each port of the service unit and start to execute another task.
Therefore, the connection relation among the ports of the business units can be switched in due time through monitoring the business state data, so that the monitoring, the regulation and the control of different research and development projects are realized through a flexible butt joint mode, and the overall research and development efficiency of a team is improved.
The above are merely embodiments of the present application, and the description is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the protection scope of the present application.

Claims (10)

1. A multi-end project collaboration system, comprising:
the system comprises a plurality of business units, a plurality of service units and a plurality of service units, wherein the business units are respectively connected with each enterprise department and are provided with a demand receiving port (D _ in), a technology extracting port (C _ in), a delivery output port (D _ out), a resource output port (C _ out) and a log storage port (M), each business unit respectively receives delivery content and business requirements output by a superior business unit through the demand receiving port, executes corresponding business processes according to the business requirements, automatically pushes business process data to the log storage port according to preset rules, pushes the delivery content and the business requirements of the business unit to the delivery output port after the business processes are finished, acquires business related technical information through the technology extracting port to assist the business processes, arranges and files business resources according to the business process data, and outputs the business resource data to other business units responsible for researching and developing resource management through the resource output port;
the service log storage system is butted with a log storage port of each service unit, is used for acquiring service process data of each service unit according to a rule set by each service unit, stores the service process data into a corresponding project list according to the current service process state of each service unit, correspondingly marks the service unit identity and the storage time of each service process data in the project list during storage, and is also used for providing the corresponding service process data for each service unit according to the current service process state of each service unit;
the technical database is in butt joint with technical extraction ports of all the service units and is used for extracting service process data contained in all item lists in the service log storage system according to a preset period, extracting retrieval features in the service process data according to a pre-trained keyword model, constructing an expanded query model according to historical query results corresponding to the retrieval features, expanding all the retrieval features according to the expanded query model to obtain a target retrieval formula, querying service related technical information according to the target retrieval formula and automatically pushing the queried service related technical information to the corresponding service units;
and the connection relation among all the service units is dynamically switched according to the current service process state.
2. The multi-end project collaboration system of claim 1, wherein the service process state of each service unit is marked by a globally visible User Visible Entity (UVE) in the system, service process state data in the User Visible Entity (UVE) is encrypted, and an encryption key corresponding to each service process state is updated to a project list corresponding to the service process state in the service log storage system according to a preset period.
3. The multi-end project collaboration system of claims 1-2 wherein the specific steps of the technology database extracting search features in the business process data according to the pre-trained keyword model comprises:
step a1, extracting state parameters indicating business states correspondingly according to storage rules of business process data, and determining a corresponding retrieval feature expansion library according to the state parameters;
step a2, calling a conditional random field model to perform word segmentation processing on business process data, and sequentially inputting each single word obtained by word segmentation into an SBERT feature extraction algorithm according to the sentence sequence of the single word to perform semantic feature extraction to obtain a semantic feature vector;
step a3, screening out search keywords from each word obtained by word segmentation according to the semantic feature vector, inputting the search keywords into a search feature expansion library, and expanding each search keyword to obtain search features.
4. The multi-end project collaboration system of claim 3, wherein the specific steps of the technology database building the extended query model according to the historical query results corresponding to the retrieval features include:
step b1, inputting all retrieval features into a historical retrieval library, extracting historical query results under different combination modes among the retrieval features, and screening out retrieval feature combination modes marked as negative directions in the historical query results;
and b2, combining the rest retrieval features according to the retrieval keywords corresponding to the rest retrieval features, combining the retrieval features corresponding to the same retrieval keywords with OR logic, and combining the retrieval features corresponding to the different retrieval keywords with AND logic to construct an expanded query model.
5. The multi-project collaboration system of claim 3 wherein the specific steps of the technical database expanding the search features to obtain the target search form according to the expanded query model comprise:
according to various combination modes of the expanding query model respectively traversing the retrieval characteristics, the following steps are respectively executed for each combination mode:
step c1, respectively extracting a superior feature set, a process feature set, a material feature set and a structure feature set of each retrieval feature in the combination mode;
step c2, pre-searching two search features by mutually combining the superior feature set, the process feature set, the material feature set and the structural feature set, and screening the set with the most search results;
and c3, expanding the retrieval characteristics by the set obtained by screening in the step c2 to obtain a target retrieval formula.
6. The multi-end project collaboration system of claims 1-5, wherein the technology database accesses patent, thesis, meeting, research institution related websites or databases through a universal adaptation interface;
the general adaptive interface executes the following steps based on an API interface to acquire data in related websites or databases of patents, papers, meetings and research institutions:
step s1, interacting with a website or a database related to a patent, a thesis, a conference and a research institution through a virtualization layer to obtain interface configuration information of the virtualization layer;
step s2, constructing a coupling layer according to the interface configuration information, butting the coupling layer with corresponding patent, thesis, conference and related websites or databases of research institutions, and acquiring corresponding data according to interaction rules specified by the interface configuration information;
and step s3, converting the data obtained in the step s2 into a transmission format matched with the service unit, and pushing the service related technology information obtained by inquiry to the corresponding service unit.
7. An information co-construction method for a multi-end project collaboration system as claimed in claims 1-6, characterized in that the steps comprise:
step one, constructing the connection relation among a demand receiving port (D _ in), a delivery output port (D _ out) and a resource output port (C _ out) among service units corresponding to each enterprise department according to the superior and inferior butt-joint parties of each enterprise department in a project, and setting the service process state of each service unit according to the content of the project;
secondly, each service unit correspondingly receives the delivery content and the service requirement output by the superior service unit through a requirement receiving port according to the current service process state, executes the corresponding service process according to the service requirement, automatically pushes the service process data to a log storage port according to a preset rule, pushes service related technical information to each service unit through a technical extraction port according to the service process data contained in each item list in a service log storage system to assist the service process, and pushes the delivery content and the service requirement of the service unit to a delivery output port after the service process is finished;
thirdly, triggering each service unit to arrange and file service resources synchronously according to the service process data when outputting the delivery content, and outputting the service resource data to other service units responsible for researching and developing resource management through a resource output port;
and fourthly, triggering to close the corresponding business process state after the project is finished, and correspondingly triggering each business unit to switch the business process state according to the preset progress index during the project.
8. The information co-construction method according to claim 7, characterized in that different service process states are respectively matched with the connection relationship between corresponding service units;
in the service log storage system, the service process data are stored into a corresponding project list according to the current service process state of each service unit, and the service unit identity and the storage time of each service process data are correspondingly marked and uploaded in the project list during storage;
the service log storage system is also used for providing corresponding service process data which is stored in the service log storage system and matched with the current service process state of the service unit to the service unit when the upper-level service unit of the service unit is in another service process state according to the current service process state of each service unit.
9. The information co-construction method according to claims 7-8, characterized in that an internally globally visible User Visible Entity (UVE) is marked, the business process state data in the User Visible Entity (UVE) is stored in an encrypted secret, and the encryption keys corresponding to the business process states are updated to a project list corresponding to the business process state in a business log storage system according to a preset period, respectively;
when each service unit calls corresponding service process data matched with the current service process state from the service log storage system, the service log storage system calls each encryption secret key according to the sequence from new to old until the service process state of the service unit is decrypted, and then sends the corresponding service process data stored before the encryption secret key to the service unit.
10. The information co-construction method according to claims 7-9, characterized in that the service process state of each service unit is dynamically switched according to a preset time limit, historical completion time and an industry completion period, and before switching, a time limit reminder is pushed to the device to which the corresponding service unit belongs according to a preset mode.
CN202210972777.9A 2022-08-15 2022-08-15 Multi-end project cooperation system and information co-construction method thereof Pending CN115689503A (en)

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