WO2019119322A1 - 检测系统、方法及相关装置 - Google Patents

检测系统、方法及相关装置 Download PDF

Info

Publication number
WO2019119322A1
WO2019119322A1 PCT/CN2017/117580 CN2017117580W WO2019119322A1 WO 2019119322 A1 WO2019119322 A1 WO 2019119322A1 CN 2017117580 W CN2017117580 W CN 2017117580W WO 2019119322 A1 WO2019119322 A1 WO 2019119322A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
self
cloud
built library
detection
Prior art date
Application number
PCT/CN2017/117580
Other languages
English (en)
French (fr)
Inventor
骆磊
牟涛涛
杨威
Original Assignee
深圳达闼科技控股有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳达闼科技控股有限公司 filed Critical 深圳达闼科技控股有限公司
Priority to US16/341,423 priority Critical patent/US20210374110A1/en
Priority to CN201780002538.8A priority patent/CN108235763B/zh
Priority to JP2019524331A priority patent/JP6641067B1/ja
Priority to PCT/CN2017/117580 priority patent/WO2019119322A1/zh
Publication of WO2019119322A1 publication Critical patent/WO2019119322A1/zh

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/211Schema design and management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/252Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • G06F16/2372Updates performed during offline database operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/256Integrating or interfacing systems involving database management systems in federated or virtual databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database

Definitions

  • the present application relates to the field of detection, and more particularly to detection systems, methods, and related devices.
  • the current professional testing equipment is basically a single machine. Usually, after detecting the substance, the testing equipment inputs the test result into the database to check whether there is a substance matching the test result in the database. Due to the limited database, the detecting device cannot detect the device. All substances are produced. Therefore, the user can give a name to the unidentified substance during the detection process and save it to the local self-built library. Wherein, the name may be that the user knows exactly what the substance is, such as potassium cyanide; or the user is not sure what the substance is but adds a mark to the substance to know that the same is detected during the subsequent detection process. A substance such as white powder X.
  • the detecting device is usually expensive, it is common for a plurality of people to share a plurality of detecting devices in an actual detecting scene. That is to say, in many cases, the user uses the detecting device A this time, and establishes a local self-built library in the detecting device A, but the next time the user is likely to be unable to use the detecting device A, but only the detecting device B, this can only be selected.
  • the user needs to re-establish the local self-built library in the detecting device B, and re-establishing can select one of the following two methods: 1. Find a sample for establishing a local self-built library on the detecting device A, and repeat the adding operation. The process is cumbersome, and the sample may not be found; 2.
  • the detection device A is found, and the local self-built library is copied from the detection device A to the detection device B, but the detection device A cannot be found immediately.
  • One technical problem to be solved by some embodiments of the present application is that users can use self-built libraries across devices in the case of multi-person to multi-device.
  • An embodiment of the present application provides a detection system, including a cloud detection platform and a detection terminal, wherein a cloud public database and a first user self-built library corresponding to a user are deployed on the cloud detection platform; and the detection terminal is configured to determine After the user successfully logs in and does not log in for the first time, the system sends a database access request carrying the feature of the substance to be detected to the cloud detection platform, and receives the detection result returned by the cloud detection platform.
  • the cloud detection platform is configured to receive the database access request sent by the detection terminal.
  • the detection result of the substance to be detected is detected based on the cloud public database and the first user self-built library, and the detection result is obtained, and the detection result is returned to the detection terminal.
  • An embodiment of the present application further provides a detection method, which is applied to detecting a terminal, including: determining that the user successfully logs in and is not logging in for the first time; and sending a database access request carrying the feature of the substance to be detected to the cloud detection platform, on the cloud detection platform
  • the cloud user public database and the first user self-built library corresponding to the user are deployed; and the detection result returned by the cloud detection platform is received; wherein the cloud detection platform receives the database access request sent by the detection terminal, based on the cloud public database and the first user self-built library
  • the characteristics of the substance to be detected are detected, the detection result is obtained, and the detection result is returned to the detection terminal.
  • An embodiment of the present application further provides a detection method, which is applied to a cloud detection platform, where a cloud public database and a first user self-built library corresponding to the user are deployed on the cloud detection platform, and the detection method includes: receiving and transmitting the detection terminal a database access request for the feature of the substance to be detected, wherein the database access request is sent by the detecting terminal after determining that the user successfully logs in and is not the first time to log in, and determines that the network connection is established with the cloud detecting platform; the cloud-based public database and the first user self-built The library detects the characteristics of the substance to be detected, obtains the detection result, and returns the detection result to the detection terminal.
  • An embodiment of the present application further provides a detecting terminal, including: a determining module, configured to successfully log in to the user and not logging in for the first time; and a sending module, configured to send, to the cloud detecting platform, a database access request that carries a feature of the substance to be detected,
  • the cloud detection platform is configured with a cloud public database and a first user self-built library corresponding to the user; the receiving module is configured to receive the detection result returned by the cloud detection platform; wherein the cloud detection platform receives the database access request sent by the detection terminal, based on the cloud
  • the public database and the first user self-built library detect the characteristics of the substance to be detected, obtain the detection result, and return the detection result to the detection terminal.
  • An embodiment of the present application further provides a cloud detection platform, including: a receiving module, configured to receive a database access request sent by a detection terminal and carrying a feature of a substance to be detected, where the database access request is a detection terminal determining user success
  • the login is not the first login, and is determined to be sent after the network connection is established with the cloud detection platform;
  • the detection module is configured to detect the characteristics of the to-be-detected substance based on the cloud public database and the first user self-built library, and obtain the detection result; the sending module is used for Return the test result to the test terminal.
  • An embodiment of the present application further provides a detecting terminal including at least one processor; and a memory communicatively coupled to the at least one processor and a communication component that receives and/or transmits data under the control of the processor; Therein, the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the detection method applied to the detection terminal as described above.
  • An embodiment of the present application further provides a cloud service platform including at least one processor; and a memory communicatively coupled to the at least one processor and a communication component that receives and/or transmits data under control of the processor
  • the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the detection method applied to the cloud detection platform as described above.
  • An embodiment of the present application further provides a computer readable storage medium storing a computer program that, when executed by a processor, implements the above-described detection method applied to a detection terminal.
  • An embodiment of the present application further provides a computer readable storage medium storing a computer program, which is implemented by a processor to implement the above-described detection method applied to the cloud detection platform.
  • the cloud public database and the first user self-built inventory are stored in the cloud detection platform, and different detection terminals can provide database access requests, so that the user can still access after replacing the detection terminal.
  • the cloud public database and the first user self-built the library, and the detection is performed, and the user does not need to re-establish the self-built library on the replaced detection terminal, so that the user can use the self-built library across the device in the case of multi-person to multi-device.
  • FIG. 1 is a schematic structural diagram of a detection system according to a first embodiment of the present application.
  • FIG. 2 is a flow chart of a detecting method of a third embodiment of the present application.
  • FIG. 3 is a flowchart of a download process of a local public database and a second user self-built library in the third embodiment of the present application;
  • FIG. 4 is a flowchart of a specific process of updating according to an offline self-built library according to a fourth embodiment of the present application.
  • FIG. 5 is a flowchart of a specific process of updating according to a second user self-built library according to the fourth embodiment of the present application.
  • FIG. 6 is a flowchart of a detecting method of a fifth embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a detecting terminal according to a seventh embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of a detection terminal according to an eighth embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of a cloud detection platform according to a ninth embodiment of the present application.
  • FIG. 11 is a schematic structural diagram of a detecting terminal according to an eleventh embodiment of the present application.
  • FIG. 12 is a schematic structural diagram of a detecting terminal according to a twelfth embodiment of the present application.
  • the first embodiment of the present application relates to a detection system, as shown in particular in FIG.
  • the detection system includes a cloud detection platform 101 and a detection terminal 102.
  • the cloud detection platform 101 is provided with a cloud public database and a first user self-built library corresponding to the user. After detecting that the user successfully logs in and is not the first time to log in, the detecting terminal 102 sends a database access request carrying the feature of the substance to be detected to the cloud detecting platform 101, and receives the detection result returned by the cloud detecting platform 101.
  • the cloud detection platform 101 receives the database access request sent by the detection terminal 102, detects the characteristics of the substance to be detected based on the cloud public database and the first user self-built library, obtains the detection result, and returns the detection result to the detection terminal 102.
  • the detection terminal 102 has a communication function.
  • the user login channel provided by the detection terminal 102 may be logged in by using a username and a password, or may be logged in by a unique identification code such as a two-dimensional code.
  • a username and a password may be logged in by a unique identification code such as a two-dimensional code.
  • a unique identification code such as a two-dimensional code.
  • the deployment method of the cloud public database and the first user self-built library may be a database deployed by using a software supporting Structured Query Language (SQL), or a software supporting other programming languages.
  • SQL Structured Query Language
  • the deployed database The specific implementation form of the database is not the content of the application. In practical applications, the method of establishing the database may be selected according to actual conditions.
  • the characteristic of the substance to be detected may be the component of the substance to be detected, but this does not mean that the characteristic of the substance to be detected can only be the component of the substance to be detected. In practical applications, the substance to be detected can be determined according to the needs. The specific manifestation of the feature.
  • the detection result returned by the cloud detection platform 101 may be the name of the substance to be detected, the scope of use of the substance to be detected, and the precautions, and may also be a code including the foregoing content. In actual applications, the manifestation of the test result can be set as needed, and the scope of protection of the present application is not limited thereto.
  • the detection terminal 102 can perform a series of operations such as data analysis, code analysis, and data display on the detection result as needed. Those skilled in the art can understand that in practical applications, the subsequent steps of receiving the detection result can be set as needed.
  • the local public database and the second user self-built library corresponding to the user may also be deployed on the detecting terminal 102.
  • the cloud public database includes a local public database, and the first user self-built library corresponding to the same user is the same as the second user self-built library.
  • the detecting terminal 102 detects the characteristics of the substance to be detected based on the local public database deployed on the detecting terminal 102 and the second user self-built library, and obtains the detection result. Due to the deployment of the local public database and the second user self-built library, in the case that the network access request fails due to poor network or other reasons, the detecting terminal 102 can obtain the detection result based on the local public database and the second user self-built library. This makes the detection system work effectively under various conditions and improves the reliability of the detection system.
  • the permission when the local public database is deployed, the permission can be set to be used after the user logs in, or can be set to access without login. This embodiment does not limit the local public database. access permission.
  • the local public database may be an authoritative database provided by the manufacturer of the detection device or the detection scheme.
  • the local public database may also be a database established by the owner of the detection terminal 102 based on the scope of use of the detection device. This embodiment does not limit the source of data stored in the local public database.
  • the capacity of the local public database may be determined according to the computing processing capability of the detecting terminal 102.
  • the detection terminal 102 sends a download request to the cloud detection platform 101; after receiving the download request sent by the detection terminal, the cloud detection platform 101 is public from the cloud.
  • the part of the database is selected as the local public database and returned to the detecting terminal 102, and/or the first user self-built library is returned to the detecting terminal 102 as the second user self-built library; the detecting terminal 102 receives the cloud detecting platform 101 according to the download request. Returned local public database and / or second user self-built library.
  • the download request sent by the detection terminal 102 may include only the download instruction, and may also include other information such as a download instruction and a partial entry selected by the user that needs to be downloaded.
  • the data of the cloud detection platform 101 is selectively downloaded to the local public database and/or the second user self-built library according to the needs of the user, and the detection terminal 102 obtains the detection result when the network is disconnected. possibility.
  • the selectively downloading data makes it possible to detect that the data received by the terminal 102 is more in line with the data required by the user. It should be noted that the manner in which the cloud detection platform 101 determines the downloaded partial entries may be determined after analyzing the user registration information, or may be determined directly according to the user selection. Those skilled in the art can understand that in practical applications, the manner of determining partial entries can be set as needed.
  • the user terminal may obtain the user registration information as needed.
  • the detecting terminal 102 may further update the second user self-built library after determining that the user successfully logs in, and send the first update information to the cloud detecting platform 101 when establishing a network connection with the cloud detecting platform 101.
  • the first update information carries the updated entry in the second user self-built library; the cloud detection platform 101 receives the first update information sent by the detection terminal 102, and updates the first user self-built library according to the updated entry carried in the first update information. .
  • the method makes it possible to update the first user self-built library according to the modification of the second user self-built library during the use of the user.
  • the first update information may be periodically sent during the user login process, or may be sent after receiving the first update command sent by the user input. In an actual application, the sending time of the first update information may be set as needed. After the second user self-built library update, the first user self-built library is updated in time to ensure the consistency of the first user self-built library and the second user self-built library.
  • the detection terminal 102 after detecting the second update information, the detection terminal 102 sends the first update information to the cloud detection platform 101, and if the user exits the login operation, the user is prompted to exist in the second user self-built library. Updating to the entry of the cloud detection platform 101 makes it possible to avoid an update failure due to the user logging out.
  • the detection terminal 102 is further configured with an offline self-built library bound to the detection terminal 102. After detecting that the user is not logged in, the detecting terminal 102 updates the offline self-built library according to the user operation; and after determining that the user successfully logs in, updates the second user self-built library according to the update information of the offline self-built library, and is in the cloud detecting platform 101. When the network connection is established, the second update information is sent to the cloud detection platform 101, and the second update information carries the updated item in the second user self-built library.
  • the implementation can synchronize the update of the offline self-built library to the first user self-built library and the second user self-built library when the user is not logged in.
  • the cloud public database and the first user self-built inventory are stored in the cloud detection platform 101, and different detection terminals 102 can submit database access requests, so that the user is replacing the detection terminal.
  • the cloud public database and the first user self-built library can still be accessed and detected, and the user does not need to re-establish the self-built library on the replaced detection terminal, so that the user can cross the device in the case of multi-person to multi-device.
  • Use a self-built library Use a self-built library.
  • the second embodiment of the present application relates to a detection system.
  • the embodiment is further improved on the basis of the first embodiment.
  • the specific improvement is: in the second embodiment, the cloud public database includes the cloud official database and the A company builds its own library.
  • the local public database includes the local official database and the second enterprise self-built library.
  • the cloud official database contains the local official database
  • the first enterprise self-built library is the same as the second enterprise self-built library. Since the local public database on the detecting terminal 102 includes the second enterprise self-built library, the user can access the second enterprise self-built library without the network.
  • the cloud official database may include an authoritative database provided by the manufacturer of the detection device and the detection scheme, and may also include some standards in the field to which the substance to be detected belongs. In practical applications, the contents of the cloud official database can be set as needed. Wherein, when the cloud official database is an authoritative cloud database provided by the manufacturer of the detection device and the detection scheme, the management authority of the cloud official database can be handed over to the manufacturer, and the manufacturer is responsible for updating and maintaining. Separate the cloud official database from the first enterprise self-built library to protect enterprise data security.
  • the second enterprise self-built library is a public database of a plurality of detection terminals 102 of the same group.
  • the second enterprise self-built libraries of all the detection terminals 102 in the group are
  • the first enterprise self-built library of the cloud detection platform 101 is kept in sync. In practical applications, the access and management rights of the first enterprise self-built library and the second enterprise self-built library can be set as needed.
  • the cloud detection platform 101 updates the first enterprise self-built library according to the third update information.
  • the method enables the authorized user to update the first enterprise self-built library and the second enterprise self-built database according to the offline self-built library, so as to ensure that the first enterprise self-built library and the second enterprise self-built library are updated in a timely and effective manner.
  • the cloud detection platform 101 may also send the third update information to other detection terminals 102 that belong to the same group as the detection terminal 102, and the other detection terminals 102 update the respective second enterprise self-built libraries according to the third update information. Therefore, it is possible to ensure the consistency of the second enterprise self-built library of each detection terminal of the same group.
  • the detecting terminal 102 can synchronously update the second enterprise self-built library of other detecting terminals of the same group, realizing real-time sharing within the group.
  • the detecting terminal 102 after detecting that the user successfully logs in and the user is an authorized user of the first enterprise self-built library and the second enterprise self-built library, the detecting terminal 102 obtains an item selected by the user from the second user self-built library.
  • the second enterprise self-built library is updated according to the selected item, and the fourth update information is sent to the cloud detection platform 101, and the fourth update information carries the second enterprise self-built library update. Entry.
  • the cloud detection platform 101 receives the fourth update information, and updates the first enterprise self-built library according to the fourth update information.
  • the method enables the authorized user to update the first enterprise self-built library and the second enterprise self-built database according to the second user self-built library, so as to ensure that the first enterprise self-built database and the second enterprise self-built database are updated in a timely and effective manner. .
  • the detecting terminal 101 can also set the entry selected by the user from the second user self-built library to a hidden state or delete, so as to avoid the user self-built library (the first user self-built library and the second user self-built library) and the enterprise self-built The same items exist in the library (the first enterprise self-built library and the second enterprise self-built library) to ensure the detection efficiency.
  • the detecting terminal 101 may also delete unnecessary entries in the second self-built library according to the user setting, thereby avoiding unnecessary information occupying the storage space, and may also hide the entries in the second user self-built library according to the setting of the user.
  • a third embodiment of the present application relates to a detection method, which is applied to a detection terminal.
  • a detection method For a specific implementation of the detection method, reference may be made to the related descriptions of the detection terminal in the first embodiment and the second embodiment. As shown in FIG. 2, the specific implementation process of the detection method is as follows:
  • Step 201 It is determined that the user successfully logs in and is not the first time to log in.
  • the user login channel provided by the detection terminal may be logged in by using a username and a password, or may be logged in by using a unique identification code such as a two-dimensional code.
  • the login mode may be set as needed.
  • Step 202 Send a database access request carrying a feature of the substance to be detected to the cloud detection platform.
  • the cloud detection platform is deployed with a cloud public database and a first user self-built library corresponding to the user.
  • the cloud detection platform receives the database access request sent by the detection terminal, detects the characteristics of the substance to be detected based on the cloud public database and the first user self-built library, obtains the detection result, and returns the detection result to the detection terminal.
  • Step 203 Receive a detection result returned by the cloud detection platform.
  • the detection method provided in this embodiment stores the cloud public database and the first user self-built library corresponding to the user on the cloud detection platform, so that the detection terminal can pass the user when the user logs in to the detection terminal.
  • the network directly accesses the cloud public database stored on the cloud detection platform and the first user self-built library corresponding to the user, and performs detection, thereby realizing the self-built library of the user across the device in the case of multi-person to multi-device.
  • the local public database and the second user self-built library corresponding to the user may also be deployed on the detecting terminal.
  • the cloud public database includes a local public database, and the first user self-built library corresponding to the same user is the same as the second user self-built library.
  • the detecting terminal 102 can obtain the detection result based on the local public database and the second user self-built library. This makes the detection system work effectively under various conditions and improves the reliability of the detection system.
  • the local public database and the second user self-built library need to be downloaded from the cloud detection platform, so that the detecting terminal can be based on the downloaded local public database and the second user self in case of disconnection.
  • the database is built for testing.
  • the specific download process is shown in Figure 3:
  • Step 301 Determine that the user successfully logs in for the first time, and sends a download request to the cloud detection platform.
  • the cloud detection platform receives the download request sent by the detection terminal, and selects a partial entry from the cloud public database as a local public database to return to the detection terminal, and/or returns the first user self-built library as the second user self-built library. To the detection terminal.
  • Step 302 Receive a local public database and/or a second user self-built library returned by the cloud detection platform according to the download request.
  • the detecting terminal may update the first user self-built library and the second user self-built library as needed after the user successfully logs in.
  • the specific update process is: updating the second user self-built library and moving to the cloud.
  • the detecting platform sends the first update information, where the first update information carries the updated item in the second user self-built library.
  • the cloud detection platform receives the first update information sent by the detection terminal, and updates the first user self-built library according to the updated entry carried in the first update information.
  • the method makes it possible to update the first user self-built library according to the modification of the second user self-built library during the use of the user.
  • the detecting user After detecting the user to log in to the cloud detection platform after updating the second user self-built library, if the detecting user detects that the user quits the login operation, the user is prompted to have the second user self-built library not updated to the cloud detection platform.
  • the entry makes it possible to avoid an update failure due to the user logging out.
  • the detection terminal further has an offline self-built library bound to the detection terminal. If the user is not logged in, it can be detected according to the offline self-built library, or the offline self-built library can be updated, and after the user successfully logs in, the offline self-built library can be used to update the second user self-built library and the first
  • the user self-built the library specifically: updating the second user self-built library according to the update information of the offline self-built library, and sending the second update information to the cloud detection platform, where the second update information carries the update of the second user self-built library.
  • the entry receives the second update information by the cloud detection platform, and updates the first user self-built library according to the second update information.
  • the implementation can synchronize the update of the offline self-built library to the first user self-built library and the second user self-built library when the user is not logged in.
  • the fourth embodiment of the present application relates to a detection method.
  • the embodiment is further improved on the basis of the third embodiment.
  • the detection method refer to the detection terminal in the first embodiment and the second embodiment.
  • the cloud public database includes a cloud official database and a first enterprise self-built database
  • the local public database includes a local official database and a second enterprise self-built library
  • the cloud official database includes a local official database
  • the first enterprise The construction of the library is the same as that of the second enterprise. Since the local public database on the detecting terminal includes the second enterprise self-built library, the user can access the second enterprise self-built library without the network.
  • the detecting terminal may update the first enterprise self-built library and the second enterprise self-built library, and the implementation manner of the specific update includes but is not limited to the following two types:
  • the update may be performed according to the offline self-built library bound by the detection terminal, and the specific process is as shown in FIG. 4:
  • Step 401 Determine that the user successfully logs in and the user is an authorized user of the first enterprise self-built library and the second enterprise self-built library.
  • Step 402 In the case of establishing a network connection with the cloud detection platform, updating the second enterprise self-built library according to the offline self-built library, and sending the third update information to the cloud detection platform, where the third update information carries the second enterprise self-built An updated entry in the library.
  • the cloud detection platform updates the first enterprise self-built library according to the third update information after receiving the third update information.
  • the second user can be updated according to the self-built library, and the specific process is as shown in FIG. 5:
  • Step 501 Determine that the user is an authorized user of the first enterprise self-built library and the second enterprise self-built library.
  • Step 502 Acquire an item selected by the user from the second user self-built library.
  • Step 503 Update the second enterprise self-built library according to the selected item, and send the fourth update information to the cloud detection platform, where the fourth update information carries the updated item in the second enterprise self-built library.
  • the cloud detection platform receives the fourth update information, and updates the first enterprise self-built library according to the fourth update information.
  • the detecting terminal may update the second user self-built library to the first enterprise self-built library and the second enterprise self-built library according to the second user self-built library to update the first enterprise self-built library and the second enterprise self-built library.
  • the entries in the build library are set to hidden or deleted to avoid duplication and ensure detection efficiency.
  • a fifth embodiment of the present application relates to a detection method, which is applied to a cloud detection platform.
  • the detection method includes:
  • Step 601 Receive a database access request that is sent by the detecting terminal and carries a feature of the substance to be detected.
  • the cloud detection platform is deployed with a cloud public database and a first user-built library corresponding to the user.
  • Step 602 Detecting characteristics of the substance to be detected based on the cloud public database and the first user self-built library, and obtaining the detection result.
  • Step 603 Return the detection result to the detection terminal.
  • the cloud detecting platform can send the detection result to the detecting terminal.
  • the sixth embodiment of the present application relates to a detection method.
  • the embodiment is further improved on the basis of the fifth embodiment.
  • the detection method refer to the first embodiment and the second embodiment for cloud detection.
  • the specific improvement is that, when the user logs in to the detection terminal for the first time, the detection terminal provides data of the local public database and the second user self-built library according to the request of the detection terminal.
  • the specific provision process is shown in Figure 7:
  • Step 701 Receive a download request sent by the detection terminal.
  • the detecting terminal sends a download request to the cloud detecting platform after the user successfully logs in for the first time and establishes a network connection with the cloud detecting platform.
  • Step 702 Select a partial entry from the cloud public database as a local public database and return to the detecting terminal.
  • the entry selected by the cloud detection platform may be determined according to an item selected by the user when logging in to the detection terminal, or may be determined according to the authority set when the cloud public database is created, and the item that needs to be returned to the detection terminal is determined. The way the detection platform selects partial entries from the cloud public database.
  • step 702 may be replaced by: returning the first user self-built library as a second user self-built library to the detecting terminal.
  • Step 702 is further replaced by: selecting a partial entry from the cloud public database as a local public database and returning to the detecting terminal, and returning the first user self-built library as a second user self-built library to the detecting terminal.
  • This embodiment does not limit the number and type of databases returned by the cloud detection platform after receiving the download request.
  • the seventh embodiment of the present application relates to a detection terminal.
  • the detection terminal For the specific implementation of the detection terminal, refer to the related descriptions of the detection terminal in the above embodiments, and the repeated description is not repeated.
  • the method includes: determining a module. 801. The sending module 802 and the receiving module 803.
  • the determining module 801 is used for the user to successfully log in and is not the first time to log in.
  • the sending module 802 is configured to send, to the cloud detecting platform, a database access request that carries a feature of the substance to be detected, and the cloud detecting platform is configured with a cloud public database and a first user self-built library corresponding to the user.
  • the receiving module 803 is configured to receive the detection result returned by the cloud detection platform.
  • the cloud detection platform receives the database access request sent by the detection terminal, detects the characteristics of the to-be-detected substance based on the cloud public database and the first user self-built library, obtains the detection result, and returns the detection result to the detection terminal.
  • the local public database and the second user self-built library corresponding to the user are deployed on the detecting terminal, and the cloud public database includes a local public database, and the first user self-built database corresponding to the same user is the same as the second user self-built library. .
  • the eighth embodiment of the present application relates to a detecting terminal.
  • the present embodiment is substantially the same as the seventh embodiment.
  • the main difference is that, as shown in FIG. 9, the detecting terminal of the embodiment further includes a detecting module 804.
  • the detecting module 804 is configured to detect a feature of the to-be-detected substance based on the local public database deployed on the detecting terminal and the second user self-built library after the database access request fails to be sent, and obtain the detection result.
  • the ninth embodiment of the present application relates to a cloud detection platform.
  • the cloud detection platform includes a receiving module 1001, a detecting module 1002, and a transmitting module 1003.
  • the receiving module 1001 is configured to receive a database access request that is sent by the detecting terminal and carries a feature of the substance to be detected.
  • the database access request is sent by the detecting terminal after determining that the user successfully logs in and is not the first time to log in, and determines that the network connection is established with the cloud detecting platform.
  • the detecting module 1002 is configured to detect a feature of the substance to be detected based on the cloud public database and the first user self-built library, and obtain a detection result.
  • the sending module 1003 is configured to return the detection result to the detecting terminal.
  • each module involved in the seventh embodiment, the eighth embodiment, and the ninth embodiment is a logic module.
  • one logical unit may be a physical unit or a physical unit.
  • a part of a unit can also be implemented in a combination of multiple physical units.
  • the present embodiment does not introduce a unit that is not closely related to solving the technical problem proposed by the present application, but this does not indicate that there are no other units in this embodiment.
  • An eleventh embodiment of the present application relates to a detecting terminal, as shown in FIG. 11, including at least one processor 1101; and a memory 1102 communicatively coupled to at least one processor 1101 and a communication component 1103 in which the communication component 1103 is processing Data is received and/or transmitted under the control of the device 1101.
  • the memory 1102 stores instructions executable by at least one processor 1101, the instructions being executed by at least one processor 1101 to enable the at least one processor 1101 to perform the above-described detection method applied to the detection terminal.
  • a twelfth embodiment of the present application relates to a cloud service platform, as shown in FIG. 12, including at least one processor 1201; and a memory 1202 communicatively coupled to at least one processor 1201 and a communication component 1203, the communication component 1203 being Data is received and/or transmitted under the control of the processor 1201.
  • the memory 1202 stores instructions executable by the at least one processor 1201, the instructions being executed by the at least one processor 1201 to enable the at least one processor 1201 to perform the detection method of any of the above embodiments.
  • the processor is a central processing unit (CPU), and the memory is exemplified by a random access memory (RAM).
  • the processor and the memory can be connected by a bus or other means. In FIG. 11 and FIG. 12, a bus connection is taken as an example.
  • the memory is used as a non-volatile computer readable storage medium, and can be used for storing a non-volatile software program, a non-volatile computer executable program, and a module, such as a cloud public database and a first user self-built in the embodiment of the present application.
  • the library is stored in memory.
  • the processor implements the above detection methods by executing non-volatile software programs, instructions, and modules stored in the memory to perform various functional applications and data processing of the device.
  • the memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store a list of options, and the like. Further, the memory may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other nonvolatile solid state storage device. In some embodiments, the memory optionally includes a memory remotely located relative to the processor, the remote memory being connectable to the external device over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • One or more modules are stored in the memory, and when executed by one or more processors, perform the detection methods of any of the above method embodiments.
  • a thirteenth embodiment of the present application relates to a computer readable storage medium storing a computer program.
  • the computer program is executed by the processor, the detection method applied to the detection terminal described in any of the above embodiments or the detection method applied to the cloud detection platform is implemented.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Bioethics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Computer Security & Cryptography (AREA)
  • Software Systems (AREA)
  • Computer And Data Communications (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Information Transfer Between Computers (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种检测系统、方法及相关装置,检测系统包括云端检测平台(101)以及检测终端(102),云端检测平台(101)上部署有云端公共数据库和用户对应的第一用户自建库。检测终端(102)用于在确定用户成功登录且不是首次登录(201)后,向云端检测平台(101)发送携带待检测物质的特征的数据库访问请求(202),并接收云端检测平台(101)返回的检测结果(203)。云端检测平台(101)用于接收检测终端(102)发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端(102)。

Description

检测系统、方法及相关装置 技术领域
本申请涉及检测领域,尤其涉及检测系统、方法及相关装置。
背景技术
当前专业的检测设备基本都是单机设备,通常检测设备在对物质进行检测后,将检测结果输入数据库中,查询数据库中是否存在与检测结果匹配的物质,由于数据库受限,检测设备不可能检测出所有物质。因此,用户在检测过程中可以对未识别的物质起一个名称并保存到本地自建库。其中,所起的名称可以是用户确切的知道该物质是什么,如氰化钾;也可以是用户不确定该物质是什么但为该物质加一个标识,以在后续检测过程中知道检测到了同一种物质,如白色粉末X。
然而,由于检测设备通常价格昂贵,实际检测场景中通常是多人共用多个检测设备。也就是说,很多情况下用户这次使用检测设备A,并在检测设备A中建立了本地自建库,但是下一次该用户很可能无法使用检测设备A,而只能选择检测设备B,这就需要用户在检测设备B中重新建立本地自建库,重新建立可以选择以下两种方式中的一种:1、要找到在检测设备A上建立本地自建库的样品,且重复一遍添加操作,过程繁琐,且该样品也不一定能够找到;2、找到检测设备A,从检测设备A中复制本地自建库到检测设备B,但很多时候无法立刻找到检测设备A。
可见,如何在多人对多设备的情况下实现用户跨设备使用自建库,是需要解决的问题。
发明内容
本申请部分实施例所要解决的一个技术问题在于在多人对多设备的情况下用户能够跨设备使用自建库。
本申请的一个实施例提供了一种检测系统,包括云端检测平台以及检测终端,其中,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库;检测终端,用于在确定用户成功登录且不是首次登录后,向云端检测平台发送携带待检测物质的特征的数据库访问请求,并接收云端检测平台返回的检测结果;云端检测平台,用于接收检测终端发送的数据库访问请求,基于云端 公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端。
本申请的一个实施例还提供了一种检测方法,应用于检测终端,包括:确定用户成功登录且不是首次登录;向云端检测平台发送携带待检测物质的特征的数据库访问请求,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库;接收云端检测平台返回的检测结果;其中,云端检测平台接收检测终端发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端。
本申请的一个实施例还提供了一种检测方法,应用于云端检测平台,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库,检测方法包括:接收检测终端发送的携带待检测物质的特征的数据库访问请求,其中,数据库访问请求为检测终端在确定用户成功登录且不是首次登录,以及判定与云端检测平台建立网络连接后发送;基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果;将检测结果返回给检测终端。
本申请的一个实施例还提供了一种检测终端,包括:确定模块,用于用户成功登录且不是首次登录;发送模块,用于向云端检测平台发送携带待检测物质的特征的数据库访问请求,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库;接收模块,用于接收云端检测平台返回的检测结果;其中,云端检测平台接收检测终端发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端。
本申请的一个实施例还提供了一种云端检测平台,包括:接收模块,用于接收检测终端发送的携带待检测物质的特征的数据库访问请求,其中,数据库访问请求为检测终端在确定用户成功登录且不是首次登录,以及判定与云端检测平台建立网络连接后发送;检测模块,用于基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果;发送模块,用于将检测结果返回给检测终端。
本申请的一个实施例还提供了一种检测终端,包括至少一个处理器;以及,与至少一个处理器通信连接的存储器以及通信组件,通信组件在处理器的控制下接收和/或发送数据;其中,存储器存储有可被至少一个处理器执行的指令,指令被至少一个处理器执行,以使至少一个处理器能够执行如上述应用于检测终端的检测方法。
本申请的一个实施例还提供了一种云端服务平台,包括至少一个处理器;以及,与至少一个处理器通信连接的存储器以及通信组件,通信组件在处理器的控制下接收和/或发送数据;其中,存储器存储有可被至少一个处理器执行的指令,指令被至少一个处理器执行,以使至少一个处理器能够执行如上述应用于云端检测平台的检测方法。
本申请的一个实施例还提供了一种计算机可读存储介质,存储有计算机程序,计算机程序被处理器执行时实现上述应用于检测终端的检测方法。
本申请的一个实施例还提供了一种计算机可读存储介质,存储有计算机程序,计算机程序被处理器执行时实现上述应用于云端检测平台的检测方法。
本申请的实施例相对于现有技术而言,云端公共数据库和第一用户自建库存储于云端检测平台,不同检测终端均能提出数据库访问请求,使得用户在更换检测终端后,仍然可以访问云端公共数据库和第一用户自建库,并进行检测,用户无需在更换后的检测终端上重新建立自建库,使得用户能够在多人对多设备的情况下跨设备使用自建库。
附图说明
一个或多个实施例通过与之对应的附图中的图片进行示例性说明,这些示例性说明并不构成对实施例的限定,附图中具有相同参考数字标号的元件表示为类似的元件,除非有特别申明,附图中的图不构成比例限制。
图1是本申请第一实施例的检测系统的结构示意图;
图2是本申请第三实施例的检测方法的流程图;
图3是本申请第三实施例的本地公共数据库和第二用户自建库的下载过程的流程图;
图4是本申请第四实施例的根据离线自建库进行更新的具体过程的流程图;
图5是本申请第四实施例的根据第二用户自建库进行更新的具体过程的流程图;
图6是本申请第五实施例的检测方法的流程图;
图7是本申请第六实施例的具体提供过程的流程图;
图8是本申请第七实施例的检测终端的结构示意图;
图9是本申请第八实施例的检测终端的结构示意图;
图10是本申请第九实施例的云端检测平台的结构示意图;
图11是本申请第十一实施例的检测终端的结构示意图;
图12是本申请第十二实施例的检测终端的结构示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请部分实施例进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。
本申请的第一实施例涉及一种检测系统,具体如图1所示。该检测系统包括云端检测平台101以及检测终端102,其中,云端检测平台101上部署有云端公共数据库和用户对应的第一用户自建库。检测终端102在确定用户成功登录且不是首次登录后,向云端检测平台101发送携带待检测物质的特征的数据库访问请求,并接收云端检测平台101返回的检测结果。云端检测平台101接收检测终端102发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端102。
需要说明的是,检测终端102具有通信功能。
实施中,检测终端102提供的用户登录渠道可以是使用用户名和密码登录,也可以是通过二维码等唯一识别码登录。本领域技术人员可以理解,在实际应用中,登录方式可以根据需要设置。
需要说明的是,云端公共数据库和第一用户自建库的部署方式可以是通过使用支持结构化查询语言(Structured Query Language,SQL)的软件部署的数据库,也可以是通过支持其他编程语言的软件部署的数据库。数据库的具体实现形式并不是本申请关注的内容,实际应用中,可以根据实际情况选择建立数据库的方式。
实施中,待检测物质的特征可以是待检测物质的组成成分,但这并不意味着待检测物质的特征只能是待检测物质的组成成分,实际应用中,可以根据需要确定待检测物质的特征的具体表现形式。
其中,云端检测平台101返回的检测结果可以是待检测物质的名称、待检测物质的使用范围及注意事项等内容,也可以是包含前述内容的代码。在实际应用中,检测结果的表现形式可以根据需要设置,本申请的保护范围并不以此为限。
实施中,检测终端102在接收云端检测平台101返回的检测结果之后,可以根据需要对检测结果进行数据分析、代码解析和数据展示等一系列操作。本 领域技术人员可以理解,在实际应用中,可以根据需要设置接收检测结果的后续步骤。
一个具体实现中,检测终端102上还可以部署本地公共数据库和用户对应的第二用户自建库。其中,云端公共数据库包含本地公共数据库,同一用户对应的第一用户自建库与第二用户自建库相同。在数据库访问请求发送失败后,检测终端102基于检测终端102上部署的本地公共数据库和第二用户自建库检测待检测物质的特征,获得检测结果。由于本地公共数据库和第二用户自建库的部署,使得在网络不佳或其他原因导致数据库访问请求失败的情况下,检测终端102可以基于本地公共数据库和第二用户自建库,获得检测结果,使得检测系统在各种情况下有效工作,提高了检测系统的可靠性。
需要说明的是,本领域技术人员可以理解,部署本地公共数据库时,可以将其权限设置为用户登录后才可以使用,也可以设置为无需登录即可访问,本实施例不限制本地公共数据库的访问权限。
需要说明的是,本领域技术人员可以理解,在实际应用中,本地公共数据库可以是由检测设备或检测方案的厂家提供的权威数据库。本地公共数据库也可以是由检测终端102所有者根据检测设备的使用范围建立的数据库。本实施例不限制本地公共数据库中存储数据的来源。
需要说明的是,实际应用中,可以根据检测终端102的计算处理能力,决定本地公共数据库的容量大小。
一个具体实现中,检测终端102在用户首次成功登录且与云端检测平台101建立网络连接后,向云端检测平台101发送下载请求;云端检测平台101在接收检测终端发送的下载请求后,从云端公共数据库中选择部分条目作为本地公共数据库返回至检测终端102,和/或,将第一用户自建库作为第二用户自建库返回至检测终端102;检测终端102接收云端检测平台101根据下载请求返回的本地公共数据库和/或第二用户自建库。
其中,检测终端102发送的下载请求可以只包含下载指令,也可以包含下载指令和用户选择的需要下载的部分条目等其他信息。在用户是首次登录时,根据用户的需要选择性地将云端检测平台101的数据下载至本地公共数据库和/或第二用户自建库,为检测终端102在断网的情况下获得检测结果提供可能性。
其中,选择性地下载数据使得检测终端102接收到的数据更符合用户需求的数据。需要说明的是,云端检测平台101确定下载的部分条目的方式可以是分析用户注册信息后确定,也可以是直接根据用户选择确定。本领域技术人员 可以理解,实际应用中,可以根据需要设置确定部分条目的方式。
具体实现中,检测终端102在确定用户是首次登录时,可以根据需要获取用户注册信息。
一个具体实现中,检测终端102还可以在确定用户成功登录后,更新第二用户自建库,并在与云端检测平台101建立网络连接的情况下,向云端检测平台101发送第一更新信息,第一更新信息中携带第二用户自建库中更新的条目;云端检测平台101接收检测终端102发送的第一更新信息,根据第一更新信息中携带的更新的条目更新第一用户自建库。该方式使得能够根据用户在使用过程中对第二用户自建库的修改更新第一用户自建库。
需要说明的是,第一更新信息可以是在用户登录过程中周期性的发送,也可以是在接收到用户输入的发送第一更新指令后发送。实际应用中,可以根据需要设置第一更新信息的发送时间。在第二用户自建库更新后,及时更新第一用户自建库,保证了第一用户自建库和第二用户自建库的一致性。
一个具体实现中,检测终端102在更新第二用户自建库后,向云端检测平台101发送第一更新信息之前,若检测到用户退出登录的操作,提示用户第二用户自建库中存在未更新至云端检测平台101的条目,使得能够避免由于用户退出登录导致的更新失败。
一个具体实现中,检测终端102上还部署有与检测终端102绑定的离线自建库。检测终端102在确定用户未登录后,根据用户操作更新离线自建库;以及在确定用户成功登录后,根据离线自建库的更新信息更新第二用户自建库,并在与云端检测平台101建立网络连接的情况下,向云端检测平台101发送第二更新信息,第二更新信息中携带第二用户自建库中更新的条目。该实现方式能够将用户未登录情况下对离线自建库的更新同步到第一用户自建库和第二用户自建库。
与现有技术相比,本实施例中提供的检测系统,云端公共数据库和第一用户自建库存储于云端检测平台101,不同检测终端102均能提出数据库访问请求,使得用户在更换检测终端102后,仍然可以访问云端公共数据库和第一用户自建库,并进行检测,用户无需在更换后的检测终端上重新建立自建库,使得用户能够在多人对多设备的情况下跨设备使用自建库。
本申请的第二实施例涉及一种检测系统,本实施例在第一实施例的基础上做了进一步改进,具体改进之处为:第二实施例中,云端公共数据库包括云端官方数据库和第一企业自建库。本地公共数据库包括本地官方数据库和第二企 业自建库。其中,云端官方数据库包含本地官方数据库,第一企业自建库与第二企业自建库相同。由于检测终端102上的本地公共数据库包含第二企业自建库,使得用户可以在没有网络的情况下访问第二企业自建库。
需要说明的是,云端官方数据库可以包含由检测设备及检测方案的厂家提供的权威数据库,也可以包含待检测物质所属领域的一些标准。实际应用中,云端官方数据库的内容可以根据需要设置。其中,当该云端官方数据库是由检测设备及检测方案的厂家提供的权威云端数据库时,可以将云端官方数据库的管理权限交于厂家,由厂家负责更新与维护。将云端官方数据库与第一企业自建库分开储存,可以保护企业数据安全性。
具体地说,第二企业自建库为同一组的多台检测终端102的公共数据库,在与云端检测平台101网络通畅的情况下,组内所有检测终端102的第二企业自建库均与云端检测平台101的第一企业自建库保持同步。实际应用中,第一企业自建库和第二企业自建库的访问和管理权限可以根据需要设置。
一个具体实现中,检测终端102在确定用户成功登录且用户为第一企业自建库和第二企业自建库的授权用户后,在与云端检测平台101建立网络连接的情况下,根据离线自建库更新第二企业自建库,以及向云端检测平台101发送第三更新信息,第三更新信息中携带第二企业自建库中更新的条目。云端检测平台101在接收第三更新信息后,并根据第三更新信息更新第一企业自建库。该方式使得具有权限的用户能够根据离线自建库更新第一企业自建库和第二企业自建库,保证第一企业自建库和第二企业自建库得到及时、有效地更新。
需要说明的是,云端检测平台101还可以将第三更新信息发送给与检测终端102属于同一组的其它检测终端102,由其它检测终端102根据第三更新信息更新各自的第二企业自建库,使得能够保证同一组各个检测终端的第二企业自建库的一致性。
值得一提的是,检测终端102可以同步更新同一组的其它检测终端的第二企业自建库,实现了组内实时共享。
在一个具体实现中,检测终端102在确定用户成功登录且用户为第一企业自建库和第二企业自建库的授权用户后,获取用户从第二用户自建库中选择的条目,在与云端检测平台101建立网络连接的情况下,根据选择的条目更新第二企业自建库,以及向云端检测平台101发送第四更新信息,第四更新信息中携带第二企业自建库中更新的条目。云端检测平台101接收第四更新信息,并根据第四更新信息更新第一企业自建库。该方式使得具有权限的用户能够根据 第二用户自建库更新第一企业自建库和第二企业自建库,保证第一企业自建库和第二企业自建库得到及时、有效地更新。
检测终端101还可以将用户从第二用户自建库中选择的条目设置为隐藏状态或删除,以避免用户自建库(第一用户自建库和第二用户自建库)和企业自建库(第一企业自建库和第二企业自建库)中存在相同的条目,保证检测效率。当然,检测终端101还可以根据用户设置删除第二自建库中不需要的条目,避免了无用信息占用存储空间,也可以根据用户的设置隐藏第二用户自建库中的条目。
本申请的第三实施例涉及一种检测方法,应用于检测终端,该检测方法的具体实施可参见第一实施例和第二实施例中关于检测终端的相关描述。如图2所示,该检测方法的具体实施过程如下:
步骤201:确定用户成功登录且不是首次登录。
需要说明的是,检测终端提供的用户登录渠道可以是使用用户名和密码登录,也可以是通过二维码等唯一识别码登录,在实际应用中,登录方式可以根据需要设置。
步骤202:向云端检测平台发送携带待检测物质的特征的数据库访问请求。
具体地说,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库。云端检测平台接收检测终端发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端。
步骤203:接收云端检测平台返回的检测结果。
与现有技术相比,本实施例提供的检测方法,在云端检测平台上存储云端公共数据库和用户对应的第一用户自建库,使得在用户登录检测终端的情况下,该检测终端能够通过网络直接访问云端检测平台上存储的云端公共数据库和用户对应的第一用户自建库,并进行检测,从而实现了在多人对多设备的情况下跨设备使用用户的自建库。
一个具体实现中,检测终端上还可以部署本地公共数据库和用户对应的第二用户自建库。其中,云端公共数据库包含本地公共数据库,同一用户对应的第一用户自建库与第二用户自建库相同。在执行步骤202之后,检测终端若确定数据库访问请求发送失败,不再执行步骤203,而是基于检测终端本地公共数据库和第二用户自建库检测待检测物质的特征,获得检测结果。由于本地公共数据库和第二用户自建库的部署,使得在网络不佳或其他原因导致数据库访问 请求失败的情况下,检测终端102可以基于本地公共数据库和第二用户自建库,获得检测结果,使得检测系统在各种情况下有效工作,提高了检测系统的可靠性。
一个具体实现中,在执行步骤201之前,需要从云端检测平台下载本地公共数据库和第二用户自建库,以使得检测终端能够在断网的情况下基于下载的本地公共数据库和第二用户自建库进行检测,具体下载过程如图3所示:
步骤301:确定用户首次成功登录,向云端检测平台发送下载请求。
其中,云端检测平台接收检测终端发送的下载请求,并从云端公共数据库中选择部分条目作为本地公共数据库返回至检测终端,和/或,将第一用户自建库作为第二用户自建库返回至检测终端。
步骤302:接收云端检测平台根据该下载请求返回的本地公共数据库和/或第二用户自建库。
一个具体实现中,检测终端每次在用户成功登录后,还可以根据需要更新第一用户自建库和第二用户自建库,具体更新过程为:更新第二用户自建库,并向云端检测平台发送第一更新信息,第一更新信息中携带第二用户自建库中更新的条目。其中,云端检测平台接收检测终端发送的第一更新信息,根据第一更新信息中携带的更新的条目更新第一用户自建库。该方式使得能够根据用户在使用过程中对第二用户自建库的修改更新第一用户自建库。
其中,检测终端在更新第二用户自建库之后,向云端检测平台发送第一更新信息之前,若检测到用户退出登录的操作,提示用户第二用户自建库中存在未更新至云端检测平台的条目,使得能够避免由于用户退出登录导致的更新失败。
一个具体实现中,检测终端上还部署有与检测终端绑定的离线自建库。在用户未登录的情况下可以根据离线自建库进行检测,也可以对离线自建库进行更新,并在用户成功登录后也可以将采用离线自建库更新第二用户自建库和第一用户自建库,具体为:根据离线自建库的更新信息更新第二用户自建库,并向云端检测平台发送第二更新信息,第二更新信息中携带第二用户自建库中更新的条目,由云端检测平台接收第二更新信息,并根据第二更新信息更新第一用户自建库。该实现方式能够将用户未登录情况下对离线自建库的更新能够同步到第一用户自建库和第二用户自建库。
本申请的第四实施例涉及一种检测方法,本实施例在第三实施例的基础上做了进一步改进,该检测方法的具体实施可参见第一实施例和第二实施例中关 于检测终端的相关描述。在本实施例中假设云端公共数据库包括云端官方数据库和第一企业自建库,本地公共数据库包括本地官方数据库和第二企业自建库,其中,云端官方数据库包含本地官方数据库,第一企业自建库与第二企业自建库相同。由于检测终端上的本地公共数据库包含第二企业自建库,使得用户可以在没有网络的情况下访问第二企业自建库。
该实施例中,检测终端可以对第一企业自建库和第二企业自建库进行更新,具体更新的实现方式包括但不限于以下两种:
第一具体实现中,可以根据检测终端所绑定的离线自建库进行更新,具体过程如图4所示:
步骤401:确定用户成功登录且用户为第一企业自建库和第二企业自建库的授权用户。
步骤402:在与云端检测平台建立网络连接的情况下,根据离线自建库更新第二企业自建库,以及向云端检测平台发送第三更新信息,第三更新信息中携带第二企业自建库中更新的条目。
其中,云端检测平台在接收第三更新信息后,根据第三更新信息更新第一企业自建库。
第二具体实现中,可以根据第二用户自建库进行更新,具体过程如图5所示:
步骤501:确定用户为第一企业自建库和第二企业自建库的授权用户。
步骤502:获取用户从第二用户自建库中选择的条目。
步骤503:根据选择的条目更新第二企业自建库,以及向云端检测平台发送第四更新信息,第四更新信息中携带第二企业自建库中更新的条目。
其中,云端检测平台接收第四更新信息,并根据第四更新信息更新第一企业自建库。
其中,检测终端在根据第二用户自建库更新第一企业自建库和第二企业自建库后,可以将第二用户自建库中更新至第一企业自建库和第二企业自建库中的条目设置为隐藏状态或删除,以避免重复,保证检测效率。
本申请的第五实施例涉及一种检测方法,应用于云端检测平台,该方法的具体实施可参见第一实施例和第二实施例中关于云端检测平台的相关描述。如图6所示,该检测方法包括:
步骤601:接收检测终端发送的携带待检测物质的特征的数据库访问请求。
具体地说,云端检测平台上部署有云端公共数据库和用户对应的第一用户 自建库。
步骤602:基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果。
步骤603:将检测结果返回给检测终端。
具体地说,由于检测终端和云端检测平台建立网络连接,云端检测平台可以将检测结果发送至检测终端。
本申请的第六实施例涉及一种检测方法,本实施例在第五实施例的基础上做了进一步改进,该检测方法的具体实施可参见第一实施例和第二实施例中关于云端检测平台的相关描述。具体改进之处在于:在用户首次登录检测终端的情况下,根据检测终端的请求为检测终端提供本地公共数据库和第二用户自建库的数据。具体提供过程如图7所示:
步骤701:接收检测终端发送的下载请求。
具体地说,检测终端在用户首次成功登录,且与云端检测平台建立网络连接后,发送下载请求至云端检测平台。
步骤702:从云端公共数据库中选择部分条目作为本地公共数据库返回至检测终端。
需要说明的是,云端检测平台选择的条目可以根据用户在登录检测终端时选择的条目确定,也可以根据云端公共数据库创建时设置的权限确定需要返回至检测终端的条目,本实施例不限制云端检测平台从云端公共数据库中选择部分条目的方式。
需要说明的是,在另一实施例中,步骤702可以替换为:将第一用户自建库作为第二用户自建库返回至检测终端。步骤702还可以替换为:从云端公共数据库中选择部分条目作为本地公共数据库返回至检测终端,并将第一用户自建库作为第二用户自建库返回至检测终端。本实施例不限制云端检测平台在接收到下载请求后返回的数据库的数量和种类。
上面各种方法的步骤划分,只是为了描述清楚,实现时可以合并为一个步骤或者对某些步骤进行拆分,分解为多个步骤,只要包括相同的逻辑关系,都在本申请的保护范围内;对算法中或者流程中添加无关紧要的修改或者引入无关紧要的设计,但不改变其算法和流程的核心设计都在该申请的保护范围内。
本申请的第七实施例涉及一种检测终端,该检测终端的具体实施可参见以上各实施例中关于检测终端的相关描述,重复之处不再赘述,如图8所示,包括:确定模块801、发送模块802和接收模块803。
其中,确定模块801用于用户成功登录且不是首次登录。发送模块802用于向云端检测平台发送携带待检测物质的特征的数据库访问请求,云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库。接收模块803用于接收云端检测平台返回的检测结果。其中,云端检测平台接收检测终端发送的数据库访问请求,基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果,并将检测结果返回给检测终端。
需要说明的是,检测终端上部署有本地公共数据库和用户对应的第二用户自建库,云端公共数据库包含本地公共数据库,同一用户对应的第一用户自建库与第二用户自建库相同。
本申请的第八实施例涉及一种检测终端,本实施例与第七实施例大致相同,主要区别在于,如图9所示,本实施例的检测终端还包括检测模块804。检测模块804用于在数据库访问请求发送失败后,基于检测终端上部署的本地公共数据库和第二用户自建库检测待检测物质的特征,获得检测结果。
本申请第九实施例涉及一种云端检测平台,该云端检测平台的具体实施可参见以上各实施例中关于云端检测平台的相关描述,重复之处不再赘述,如图10所示,该云端检测平台包括接收模块1001、检测模块1002和发送模块1003。
接收模块1001用于接收检测终端发送的携带待检测物质的特征的数据库访问请求。其中,数据库访问请求为检测终端在确定用户成功登录且不是首次登录,以及判定与云端检测平台建立网络连接后发送。
检测模块1002用于基于云端公共数据库和第一用户自建库检测待检测物质的特征,获得检测结果。
发送模块1003用于将检测结果返回给检测终端。
值得一提的是第七实施例、第八实施例和第九实施例中所涉及到的各模块均为逻辑模块,在实际应用中,一个逻辑单元可以是一个物理单元,也可以是一个物理单元的一部分,还可以以多个物理单元的组合实现。此外,为了突出本申请的创新部分,本实施例中并没有将与解决本申请所提出的技术问题关系不太密切的单元引入,但这并不表明本实施例中不存在其它的单元。
本申请的第十一实施例涉及一种检测终端,如图11所示,包括至少一个处理器1101;以及,与至少一个处理器1101通信连接的存储器1102以及通信组件1103,通信组件1103在处理器1101的控制下接收和/或发送数据。其中,存储器1102存储有可被至少一个处理器1101执行的指令,指令被至少一个处理器1101执行,以使至少一个处理器1101能够执行上述应用于检测终端的检 测方法。
本申请的第十二实施例涉及一种云端服务平台,如图12所示,包括至少一个处理器1201;以及,与至少一个处理器1201通信连接的存储器1202以及通信组件1203,通信组件1203在处理器1201的控制下接收和/或发送数据。其中,存储器1202存储有可被至少一个处理器1201执行的指令,指令被至少一个处理器1201执行,以使至少一个处理器1201能够执行上述任一实施例的检测方法。
第十一实施例和第十二实施例中,处理器以中央处理器(Central Processing Unit,CPU)为例,存储器以可读写存储器(Random Access Memory,RAM)为例。处理器、存储器可以通过总线或者其他方式连接,图11和图12中以通过总线连接为例。存储器作为一种非易失性计算机可读存储介质,可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块,如本申请实施例中云端公共数据库和第一用户自建库就存储于存储器中。处理器通过运行存储在存储器中的非易失性软件程序、指令以及模块,从而执行设备的各种功能应用以及数据处理,即实现上述检测方法。
存储器可以包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需要的应用程序;存储数据区可存储选项列表等。此外,存储器可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实施例中,存储器可选包括相对于处理器远程设置的存储器,这些远程存储器可以通过网络连接至外接设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
一个或者多个模块存储在存储器中,当被一个或者多个处理器执行时,执行上述任意方法实施例中的检测方法。
上述产品可执行本申请实施例所提供的方法,具备执行方法相应的功能模块和有益效果,未在本实施例中详尽描述的技术细节,可参见本申请实施例所提供的方法。
本申请的第十三实施例涉及一种计算机可读存储介质,存储有计算机程序。计算机程序被处理器执行时实现上述任一实施例所描述的应用于检测终端的检测方法或者应用于云端检测平台的检测方法。
即,本领域技术人员可以理解,实现上述实施例方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成,该程序存储在一个存储介质中, 包括若干指令用以使得一个设备(可以是单片机,芯片等)或处理器(processor)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
本领域的普通技术人员可以理解,上述各实施例是实现本申请的具体实施例,而在实际应用中,可以在形式上和细节上对其作各种改变,而不偏离本申请的精神和范围。

Claims (28)

  1. 一种检测系统,其中,包括云端检测平台以及检测终端,其中,所述云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库;
    所述检测终端,用于在确定用户成功登录且不是首次登录后,向所述云端检测平台发送携带待检测物质的特征的数据库访问请求,并接收所述云端检测平台返回的检测结果;
    所述云端检测平台,用于接收所述检测终端发送的所述数据库访问请求,基于所述云端公共数据库和所述第一用户自建库检测所述待检测物质的特征,获得检测结果,并将所述检测结果返回给所述检测终端。
  2. 如权利要求1所述的检测系统,其中,所述检测终端上部署有本地公共数据库和用户对应的第二用户自建库,所述云端公共数据库包含所述本地公共数据库,同一用户对应的所述第一用户自建库与所述第二用户自建库相同;
    所述检测终端还用于在所述数据库访问请求发送失败后,基于所述检测终端上部署的本地公共数据库和第二用户自建库检测所述待检测物质的特征,获得检测结果。
  3. 如权利要求2所述的检测系统,其中,所述云端公共数据库包括云端官方数据库和第一企业自建库;
    所述本地公共数据库包括本地官方数据库和第二企业自建库,其中,所述云端官方数据库包含所述本地官方数据库,所述第一企业自建库与所述第二企业自建库相同。
  4. 如权利要求3所述的检测系统,其中,所述检测终端还用于:
    在用户首次成功登录且与所述云端检测平台建立网络连接后,向所述云端检测平台发送下载请求,以及接收所述云端检测平台根据所述下载请求返回的所述本地公共数据库和/或所述第二用户自建库;
    所述云端检测平台还用于:
    接收所述检测终端发送的所述下载请求,并从所述云端公共数据库中选择部分条目作为所述本地公共数据库返回至所述检测终端,和/或,将所述第一用户自建库作为所述第二用户自建库返回至所述检测终端。
  5. 如权利要求3至4任一项所述的检测系统,其中,所述检测终端还用于:
    在确定用户成功登录后,更新所述第二用户自建库,并在与所述云端检测平台建立网络连接的情况下,向所述云端检测平台发送第一更新信息,所述第一更新信息中携带所述第二用户自建库中更新的条目;
    所述云端检测平台还用于:
    接收所述检测终端发送的所述第一更新信息,根据所述第一更新信息中携带的所述更新的条目更新所述第一用户自建库。
  6. 如权利要求5所述的检测系统,其中,所述检测终端还用于:
    更新所述第二用户自建库后,向所述云端检测平台发送所述第一更新信息之前,若检测到所述用户退出登录的操作,提示所述用户所述第二用户自建库中存在未更新至所述云端检测平台的条目。
  7. 如权利要求3至6任一项所述的检测系统,其中,所述检测终端上还部署有与所述检测终端绑定的离线自建库;
    所述检测终端还用于:
    在确定用户未登录后,根据用户操作更新所述离线自建库;以及在确定用户成功登录后,根据所述离线自建库的更新信息更新所述第二用户自建库,并在与所述云端检测平台建立网络连接的情况下,向所述云端检测平台发送第二更新信息,所述第二更新信息中携带所述第二用户自建库中更新的条目;
    所述云端检测平台还用于:
    接收所述第二更新信息,并根据所述第二更新信息更新所述第一用户自建库。
  8. 如权利要求7所述的检测系统,其中,所述检测终端还用于:
    在确定用户成功登录且所述用户为所述第一企业自建库和第二企业自建库的授权用户后,在与所述云端检测平台建立网络连接的情况下,根据所述离线自建库更新所述第二企业自建库,以及向所述云端检测平台发送第三更新信息,所述第三更新信息中携带所述第二企业自建库中更新的条目;
    所述云端检测平台还用于:
    接收所述第三更新信息,并根据所述第三更新信息更新所述第一企业自建库。
  9. 如权利要求3至8任一项所述的检测系统,其中,所述检测终端还用于:
    在确定用户成功登录且所述用户为所述第一企业自建库和所述第二企业自建库的授权用户后,获取所述用户从所述第二用户自建库中选择的条目,在与所述云端检测平台建立网络连接的情况下,根据所述选择的条目更新所述第二企业自建库,以及向所述云端检测平台发送第四更新信息,所述第四更新信息中携带所述第二企业自建库中更新的条目;
    所述云端检测平台还用于:
    接收所述第四更新信息,并根据所述第四更新信息更新所述第一企业自建库。
  10. 如权利要求9所述的检测系统,其中,所述检测终端还用于:
    将所述用户从所述第二用户自建库中选择的条目设置为隐藏状态或删除。
  11. 如权利要求8或9所述的云端检测系统,其中,所述云端检测平台还用于:
    将所述第三更新信息发送给与所述检测终端属于同一组的其它检测终端,由所述其它检测终端根据所述第三更新信息更新各自的第二企业自建库。
  12. 一种检测方法,其中,应用于检测终端,包括:
    确定用户成功登录且不是首次登录;
    向云端检测平台发送携带待检测物质的特征的数据库访问请求,所述云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库;
    接收所述云端检测平台返回的检测结果;
    其中,所述云端检测平台接收所述检测终端发送的所述数据库访问请求,基于所述云端公共数据库和所述第一用户自建库检测所述待检测物质的特征,获得检测结果,并将所述检测结果返回给所述检测终端。
  13. 如权利要求12所述的检测方法,其中,所述检测终端上部署有本地公共数据库和用户对应的第二用户自建库,所述云端公共数据库包含所述本地公共数据库,同一用户对应的所述第一用户自建库与所述第二用户自建库相同;
    向所述云端检测平台发送携带待检测物质的特征的数据库访问请求之后,所述检测方法还包括:
    在所述数据库访问请求发送失败后,基于所述检测终端上部署的本地公共数据库和第二用户自建库检测所述待检测物质的特征,获得检测结果。
  14. 如权利要求13所述的检测方法,其中,所述云端公共数据库包括云端官方数据库和第一企业自建库;
    所述本地公共数据库包括本地官方数据和第二企业自建库,其中,所述云端官方数据库包含所述本地官方数据库,所述第一企业自建库与所述第二企业自建库相同。
  15. 如权利要求14所述的检测方法,其中,确定用户成功登录且不是首次登录之前,所述检测方法还包括:
    在用户首次成功登录,向所述云端检测平台发送下载请求;
    接收所述云端检测平台根据所述下载请求返回的所述本地公共数据库和/或 所述第二用户自建库;
    其中,所述云端检测平台接收所述检测终端发送的所述下载请求,并从所述云端公共数据库中选择部分条目作为所述本地公共数据库返回至所述检测终端,和/或,将所述第一用户自建库作为所述第二用户自建库返回至所述检测终端。
  16. 如权利要求14至15任一项所述的检测方法,其中,确定用户成功登录后,所述检测方法还包括:
    更新所述第二用户自建库,并向所述云端检测平台发送第一更新信息,所述第一更新信息中携带所述第二用户自建库中更新的条目;
    其中,所述云端检测平台接收所述检测终端发送的所述第一更新信息,根据所述第一更新信息中携带的所述更新的条目更新所述第一用户自建库。
  17. 如权利要求16所述的检测方法,其中,更新所述第二用户自建库之后,所述检测方法还包括:
    向所述云端检测平台发送所述第一更新信息之前,若检测到所述用户退出登录的操作,提示所述用户所述第二用户自建库中存在未更新至所述云端检测平台的条目。
  18. 如权利要求14至17任一项所述的检测方法,其中,所述检测终端上还部署有与所述检测终端绑定的离线自建库;
    确定用户成功登录之前,所述检测方法还包括:
    在确定用户未登录后,根据用户操作更新所述离线自建库;
    确定用户成功登录之后,所述检测方法还包括:
    根据所述离线自建库的更新信息更新所述第二用户自建库,并向所述云端检测平台发送第二更新信息,所述第二更新信息中携带所述第二用户自建库中更新的条目,由所述云端检测平台接收所述第二更新信息,并根据所述第二更新信息更新所述第一用户自建库。
  19. 如权利要求18所述的检测方法,其中,确定用户成功登录后,所述检测方法还包括:
    确定所述用户为企业自建库的授权用户后,根据所述离线自建库更新所述第二企业自建库,以及向所述云端检测平台发送第三更新信息,所述第三更新信息中携带所述第二企业自建库中更新的条目;其中,云端检测平台接收所述第三更新信息,并根据所述第三更新信息更新所述第一企业自建库。
  20. 如权利要求14至19任一项所述的检测方法,其中,确定用户成功登录 后,所述检测方法还包括:
    确定所述用户为所述第一企业自建库和所述第二企业自建库的授权用户后,获取所述用户从所述第二用户自建库中选择的条目,根据所述选择的条目更新所述第二企业自建库,以及向所述云端检测平台发送第四更新信息,所述第四更新信息中携带所述第二企业自建库中更新的条目;
    其中,所述云端检测平台接收所述第四更新信息,并根据所述第四更新信息更新所述第一企业自建库。
  21. 如权利要求20所述的检测方法,其中,根据所述选择的条目更新所述第二企业自建库,以及向所述云端检测平台发送第四更新信息之后,所述检测方法还包括:
    将所述用户从所述第二用户自建库中选择的条目设置为隐藏状态或删除。
  22. 一种检测方法,其中,应用于云端检测平台,所述云端检测平台上部署有云端公共数据库和用户对应的第一用户自建库,所述检测方法包括:
    接收检测终端发送的携带待检测物质的特征的数据库访问请求,其中,所述数据库访问请求为所述检测终端在确定用户成功登录且不是首次登录,以及判定与所述云端检测平台建立网络连接后发送;
    基于所述云端公共数据库和所述第一用户自建库检测所述待检测物质的特征,获得检测结果;
    将所述检测结果返回给所述检测终端。
  23. 如权利要求22所述的检测方法,其中,
    所述检测终端上部署有本地公共数据库和用户对应的第二用户自建库,所述云端公共数据库包含所述本地公共数据库,同一用户对应的所述第一用户自建库与所述第二用户自建库相同;
    所述云端公共数据库包括云端官方数据库和第一企业自建库;
    所述本地公共数据库包括本地官方数据和第二企业自建库,其中,所述云端官方数据库包含所述本地官方数据库,所述第一企业自建库与所述第二企业自建库相同。
  24. 如权利要求23所述的检测方法,其中,接收检测终端发送的携带待检测物质的特征的数据库访问请求之前,所述检测方法还包括:
    接收所述检测终端发送的下载请求,并从所述云端公共数据库中选择部分条目作为所述本地公共数据库返回至所述检测终端,和/或,将所述第一用户自建库作为所述第二用户自建库返回至所述检测终端,其中,所述下载请求为所 述检测终端在用户首次成功登录且与所述云端检测平台建立网络连接后发送。
  25. 一种检测终端,其中,包括至少一个处理器;以及,
    与所述至少一个处理器通信连接的存储器以及通信组件,所述通信组件在所述处理器的控制下接收和/或发送数据;其中,所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够执行如权利要求12至21任一项所述的检测方法。
  26. 一种云端服务平台,其中,包括至少一个处理器;以及,
    与所述至少一个处理器通信连接的存储器以及通信组件,所述通信组件在所述处理器的控制下接收和/或发送数据;其中,所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够执行如权利要求22至24任一项所述的检测方法。
  27. 一种计算机可读存储介质,存储有计算机程序,其中,所述计算机程序被处理器执行时实现权利要求12至21任一项所述的检测方法。
  28. 一种计算机可读存储介质,存储有计算机程序,其中,所述计算机程序被处理器执行时实现权利要求22至24任一项所述的检测方法。
PCT/CN2017/117580 2017-12-20 2017-12-20 检测系统、方法及相关装置 WO2019119322A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
US16/341,423 US20210374110A1 (en) 2017-12-20 2017-12-20 Detection system and method, and related apparatus
CN201780002538.8A CN108235763B (zh) 2017-12-20 2017-12-20 检测系统、方法及相关装置
JP2019524331A JP6641067B1 (ja) 2017-12-20 2017-12-20 検出システム、方法および関連装置
PCT/CN2017/117580 WO2019119322A1 (zh) 2017-12-20 2017-12-20 检测系统、方法及相关装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/117580 WO2019119322A1 (zh) 2017-12-20 2017-12-20 检测系统、方法及相关装置

Publications (1)

Publication Number Publication Date
WO2019119322A1 true WO2019119322A1 (zh) 2019-06-27

Family

ID=62643221

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/117580 WO2019119322A1 (zh) 2017-12-20 2017-12-20 检测系统、方法及相关装置

Country Status (4)

Country Link
US (1) US20210374110A1 (zh)
JP (1) JP6641067B1 (zh)
CN (1) CN108235763B (zh)
WO (1) WO2019119322A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112632523A (zh) * 2020-12-11 2021-04-09 航天信息股份有限公司 一种移动端的离线登录和工作方法和系统
CN114727279A (zh) * 2022-03-03 2022-07-08 阿里巴巴(中国)有限公司 号码检测方法、装置和系统

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109766391B (zh) * 2019-01-21 2024-01-23 武汉易万科技有限公司 检测系统、检测方法以及计算机可读介质
CN111669420A (zh) * 2019-03-07 2020-09-15 西安诺瓦电子科技有限公司 播控终端检测方法、装置和系统
CN110823995A (zh) * 2019-11-27 2020-02-21 陕西泰诺特检测技术有限公司 氧化皮检测方法及成像装置
CN111077220A (zh) * 2019-12-28 2020-04-28 陕西泰诺特检测技术有限公司 低频超声导波检测装置及方法
CN112712505A (zh) * 2020-12-30 2021-04-27 广东粤云工业互联网创新科技有限公司 基于云端的工件检测方法及系统、计算机可读存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100155476A1 (en) * 2008-12-18 2010-06-24 Ncr Corporation Methods and Apparatus for Automated Product Identification in Point of Sale Applications
CN103376251A (zh) * 2012-04-19 2013-10-30 上海迪亚凯特生物医药科技有限公司 一种物品快速检测的便携式拉曼光谱测量装置和系统
CN105136742A (zh) * 2015-08-21 2015-12-09 董海萍 基于云端光谱数据库的微型光谱仪及光谱检测方法
CN105891146A (zh) * 2016-03-29 2016-08-24 电子科技大学 用于光谱检测的智能终端及其检测方法
CN105973837A (zh) * 2016-05-13 2016-09-28 深圳市比特原子科技有限公司 一种有机物的检测方法及其系统
CN106596435A (zh) * 2016-12-29 2017-04-26 湖南餐智科技有限公司 一种食材质量检测系统

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103533011A (zh) * 2013-03-29 2014-01-22 Tcl集团股份有限公司 一种基于云端的智能终端数据配置方法及系统
CN105563484B (zh) * 2015-12-08 2018-04-10 深圳达闼科技控股有限公司 一种云机器人系统、机器人和机器人云平台

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100155476A1 (en) * 2008-12-18 2010-06-24 Ncr Corporation Methods and Apparatus for Automated Product Identification in Point of Sale Applications
CN103376251A (zh) * 2012-04-19 2013-10-30 上海迪亚凯特生物医药科技有限公司 一种物品快速检测的便携式拉曼光谱测量装置和系统
CN105136742A (zh) * 2015-08-21 2015-12-09 董海萍 基于云端光谱数据库的微型光谱仪及光谱检测方法
CN105891146A (zh) * 2016-03-29 2016-08-24 电子科技大学 用于光谱检测的智能终端及其检测方法
CN105973837A (zh) * 2016-05-13 2016-09-28 深圳市比特原子科技有限公司 一种有机物的检测方法及其系统
CN106596435A (zh) * 2016-12-29 2017-04-26 湖南餐智科技有限公司 一种食材质量检测系统

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112632523A (zh) * 2020-12-11 2021-04-09 航天信息股份有限公司 一种移动端的离线登录和工作方法和系统
CN112632523B (zh) * 2020-12-11 2024-02-09 航天信息股份有限公司 一种移动端的离线登录和工作方法和系统
CN114727279A (zh) * 2022-03-03 2022-07-08 阿里巴巴(中国)有限公司 号码检测方法、装置和系统
CN114727279B (zh) * 2022-03-03 2024-01-23 阿里巴巴(中国)有限公司 号码检测方法、装置和系统

Also Published As

Publication number Publication date
CN108235763A (zh) 2018-06-29
CN108235763B (zh) 2022-04-08
US20210374110A1 (en) 2021-12-02
JP2020510891A (ja) 2020-04-09
JP6641067B1 (ja) 2020-02-05

Similar Documents

Publication Publication Date Title
WO2019119322A1 (zh) 检测系统、方法及相关装置
US10268701B2 (en) Method and system for acquiring and distributing location-related information
JP6435398B2 (ja) 端末識別子を促進する方法及びシステム
US8683226B2 (en) Automatic provisioning in mobile to mobile platforms
US9894630B2 (en) ADSS enabled global roaming system
CN110034984B (zh) 一种接入方法、设备及系统
CN109284140B (zh) 配置方法及相关设备
US20180302500A1 (en) Environment isolation method and device
CN109417492A (zh) 一种网络功能nf管理方法及nf管理设备
CN108207012B (zh) 一种流量控制方法、装置、终端及系统
CN112445700A (zh) 测试方法和装置
CN103685176A (zh) 终端设备、设备管理服务器以及连接建立方法
CN113630479A (zh) 域名的解析方法及相关产品
CN104902033B (zh) 登陆地址记录方法及装置
US9547508B2 (en) Universal database driver
US20230045914A1 (en) Method and apparatus for controlling device in internet of things, and gateway device and storage medium
CN108009785B (zh) 考勤方法及装置
CN112395020A (zh) 内网的安全防护方法、客户端、目标服务器及存储介质
CN111917810A (zh) 一种云通信方法及装置、用户设备、网络设备
US10200445B2 (en) Method for analyzing performance of network application program in software defined networking environment, apparatus therefor, and computer program therefor
CN112685203B (zh) 操作获取方法和装置、存储介质及电子设备
KR101848398B1 (ko) 원격 서버기반의 어플리케이션 작동 정보 제공시스템 및 그 방법
US20180324161A1 (en) Domain authentication
US7747711B2 (en) Network configuration method and system
CN109104499B (zh) 一种会话建立方法、装置、设备和存储介质

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2019524331

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17935281

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 27/10/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17935281

Country of ref document: EP

Kind code of ref document: A1