CN113487278A - Enterprise cooperative office system based on Internet of things - Google Patents
Enterprise cooperative office system based on Internet of things Download PDFInfo
- Publication number
- CN113487278A CN113487278A CN202110746604.0A CN202110746604A CN113487278A CN 113487278 A CN113487278 A CN 113487278A CN 202110746604 A CN202110746604 A CN 202110746604A CN 113487278 A CN113487278 A CN 113487278A
- Authority
- CN
- China
- Prior art keywords
- data
- conference
- internet
- things
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
- G06Q10/1095—Meeting or appointment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/75—Information technology; Communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention discloses an enterprise cooperative office system based on the Internet of things, which relates to the technical field of cooperative office, and comprises a login registration module, a server, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a data monitoring module, a signal analysis module and a data management module; the data analysis module is used for acquiring the conference requests, analyzing the conference requests and acquiring the sequence of the acquired conference requests; the server is used for processing the conference requests according to the sequencing of the conference requests so as to reasonably utilize resources; the data monitoring module is used for retrieving, downloading and monitoring the Internet of things data stored in the storage module to obtain an active value of the Internet of things data; generating a data updating instruction according to the active value, and updating the data of the Internet of things, so that the application value of the data of the Internet of things is improved; the data management module is used for managing the data of the Internet of things stored in the storage module; the storage space is effectively saved; and the retrieval efficiency is improved.
Description
Technical Field
The invention relates to the technical field of cooperative office, in particular to an enterprise cooperative office system based on the Internet of things.
Background
With the development of society, enterprises enter the current network era, the informatization management is greatly improved, the traditional office mode greatly restricts the creativity and imagination of people, the intelligence and the potential of people are buried, and a great amount of time and energy are consumed for people to manually process complicated and repeated work. The manual mode cannot meet the requirement of development under the new situation, and people need to improve the office efficiency of enterprises by using a cooperative office platform;
with the development of the internet of things and the improvement of science and technology, generated big data are sent to a cloud end through a network to be stored; in order to fully utilize the internet of things data, more and more enterprises construct internet of things data centers for mining the internet of things data and providing internet of things data resources or information resources for data demanders in the enterprises so as to achieve the purpose of cooperative office work and create application values of internet of things data and information; the existing enterprise collaborative office system cannot realize real-time communication of internal personnel information and cannot perform grade division on stored Internet of things data, so that low-frequency data are deleted and high-frequency data are updated in time; effectively save storage space, to the use of meeting room, can't arrange the meeting application according to the occupation condition of meeting room and the analysis by oneself value of meeting application is reasonable simultaneously for resource rational utilization.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an enterprise collaborative office system based on the Internet of things.
The purpose of the invention can be realized by the following technical scheme: an enterprise collaborative office system based on the Internet of things comprises a login registration module, a server, a database, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the conference application module is used for a user to input a conference application signal through the mobile phone terminal and transmit the conference application signal to the server, and the server automatically acquires the idle time period of the conference room from the database after receiving the conference application signal and sends the idle time period of the conference room to the mobile phone terminal of the user; a user edits a conference uploading request through a conference application module after receiving an idle time period of a conference room, and marks the time of uploading the conference request as the request uploading time;
the data analysis module is used for acquiring the conference requests, analyzing the conference requests and acquiring the sequence of the acquired conference requests; the data analysis module is used for sequentially sending the meeting requests to be analyzed to the server for processing according to the sequence of the meeting requests to be analyzed;
the data monitoring module is used for searching, downloading and monitoring the Internet of things data stored in the storage module, generating a searching and downloading signal when the Internet of things data is monitored to be searched and downloaded, and sending the searching and downloading signal to the signal analysis module, and the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; comparing the activity value HY with an activity threshold value; and if the active value HY is larger than or equal to the active threshold value, marking the target data as high-frequency data and generating a data updating instruction.
Furthermore, the login registration module is used for inputting personal information by a user for registration and login and transmitting the personal information to the server, and the server is used for receiving the personal information transmitted by the login registration module and transmitting the personal information to the database for storage; the personal information comprises name, gender, birthday, age, academic calendar, family address and company position; the database stores idle periods of the conference room.
Further, the data analysis module specifically comprises the following analysis steps:
the method comprises the following steps: acquiring a conference request uploaded by a conference application module; the conference request comprises an initiator, a conference time period and the number of conference persons; the conference time period comprises conference starting time and conference ending time; calibrating the request uploading time of each uploaded conference request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploaded conference request as a center; the uploading time difference is the time difference between the request uploading moments of the two conference requests; marking all meeting requests with uploading time difference within T1 as meeting requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting all the company positions to have a corresponding preset value, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as D1;
step four: arranging the meeting requests to be analyzed in a descending order according to the corresponding preset values; if the corresponding preset values are the same; further analyzing the conference request to be analyzed; acquiring an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal which sends a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, request uploading moments corresponding to the conference requests sent by the sending terminal are sequenced according to time, time difference between the latest request uploading moment and the current moment of the system is calculated to obtain delay time, and the delay time is marked as CT;
acquiring the times of the conference canceling request of the sending terminal, dividing the canceling times by the total times to acquire the canceling rate of the sending terminal, and marking the canceling rate as C2;
obtaining a transmission value FS of the transmitting terminal by using a formula FS (C1 × a1)/(CT × a2+ C2 × a3), wherein a1, a2 and a3 are coefficient factors;
s42: acquiring meeting starting time, meeting ending time and the number of meeting people in a meeting request to be analyzed; calculating the time difference between the conference starting time and the conference ending time to obtain the conference duration, and marking the conference duration as H1; calculating the time difference between the conference starting time and the current time of the system to obtain a buffer duration H2;
label the number of conference people as R1;
s43: carrying out normalization processing on the sending value, the conference duration, the buffering duration and the number of the conference people and taking the numerical values; obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX (FS × a4+ H1 × a5+ R1 × a6)/(H2 × a 7);
s44: and the meeting requests to be analyzed are arranged in a descending order according to the size of the optimum analysis value YX.
Further, the data acquisition module is used for acquiring the internet of things data acquired by each piece of internet of things equipment and uploading the internet of things data to the server, and the server is used for transmitting the internet of things data to the storage module for storage; the retrieval module is used for a user to retrieve and download the Internet of things data stored in the storage module.
Further, the server is used for receiving the conference request to be analyzed, matching the conference time period in the conference request to be analyzed with the idle time period of the conference room, and if the conference time period is in the idle time period, sending an application success signal to the mobile terminal and changing the idle time period of the conference room; and if the meeting time period is not in the idle time period, sending an application failure signal to the mobile terminal, and sending the idle time period of the meeting room at the moment to the mobile terminal to prompt the user to upload the meeting request again.
Further, the specific analysis steps of the signal analysis module are as follows:
v1: when the retrieval downloading signal is monitored, recording retrieval downloading information; the retrieval downloading information comprises Internet of things data and retrieval downloading time; marking the Internet of things data to be retrieved and downloaded as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time length is T2 time, and T2 is a preset value;
continuously carrying out retrieval downloading monitoring on the target data in the countdown stage, automatically returning countdown to an original value when the target data generates a new retrieval downloading signal, and counting down again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of target data in a countdown phase; marking the retrieval download information as Gi, i is 1, i, m and Gm are the last retrieval download information according to the time information;
calculating the time difference between the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain the retrieval duration; and labeled T3;
obtaining the number of times of target data to be retrieved and downloaded in the countdown phase according to the m value and marking as total retrieval times C3;
v4: acquiring an active value HY for obtaining target data by using a formula HY ═ T3 × b1+ C3 × b2) × (C3/T3 × b 3); wherein b1, b2 and b3 are coefficient factors;
v5: comparing the activity value HY with an activity threshold value;
if the active value HY is not less than the active threshold value, marking the target data as high-frequency data and generating a data updating instruction; marking the Internet of things equipment corresponding to the high-frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the Internet of things data of the target equipment according to the data updating instruction for updating, and returning the updated Internet of things data to the storage module through the server for storage; meanwhile, the total updating times of the data of the Internet of things are increased by one.
Further, the data management module is used for managing the data of the internet of things stored in the storage module; the specific management steps are as follows:
VV 1: acquiring the storage time of the data of the Internet of things, calculating the time difference between the storage time and the current time of the system to obtain the storage duration, and marking the storage duration as DT 1;
VV 2: setting the total updating times of the data of the Internet of things as GC; acquiring the updating time of each updating of the data of the Internet of things; calculating the time difference between the latest updating time and the current time of the system to obtain the non-updating time length, and marking the non-updating time length as DT 2;
VV 3: counting the times of retrieval and downloading of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX (GC × g1+ C4 × g2)/(DT2 × g3) -DT1 × g4, wherein g1, g2, g3 and g4 are coefficient factors;
VV 4: comparing the stored value CX to a stored threshold value; if the stored value CX is less than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold is set to be t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold t, the data transfer module deletes the corresponding low-frequency data;
VV 5: and after the low-frequency data are transferred to the data transfer module, the data of the Internet of things in the storage module are arranged in a descending order according to the size of the stored value CX.
The invention has the beneficial effects that:
1. the data analysis module is used for acquiring a conference request and analyzing the conference request; taking the request uploading time of one uploaded conference request as a center, and marking all conference requests with uploading time differences within T1 as conference requests to be analyzed; acquiring an initiator of a conference request to be analyzed, and acquiring a company position corresponding to the initiator; arranging meeting requests to be analyzed in a descending order according to the size of a preset value corresponding to the positions of the companies; if the corresponding preset values are the same; further analyzing the conference request to be analyzed; acquiring an optimal analysis value of a conference request to be analyzed; the conference requests to be analyzed are arranged in a descending order according to the size of the analytical preference value YX; the data analysis module is used for sequentially sending the meeting requests to be analyzed to the server for processing according to the sequence of the meeting requests to be analyzed, and the meeting applications can be reasonably arranged according to the occupation condition of a meeting room and the analytical optimization value of the meeting applications, so that resources are reasonably utilized;
2. the data monitoring module is used for searching, downloading and monitoring the Internet of things data stored in the storage module, when the Internet of things data is monitored to be searched and downloaded, a searching and downloading signal is generated, the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; if the active value HY is not less than the active threshold value, generating a data updating instruction, and updating the data of the Internet of things; the application value of the data of the Internet of things is improved;
3. the data management module is used for managing the data of the Internet of things stored in the storage module; combining the storage duration, the total updating times, the non-updating duration and the number of times of retrieval and downloading of the near three days of the internet-of-things data, obtaining a storage value CX of the internet-of-things data by using a formula CX ═ GC × g1+ C4 × g2)/(DT2 × g3) -DT1 × g4, if the storage value CX is less than a storage threshold value, transferring the corresponding internet-of-things data to a data transferring module, setting the duration threshold value as t, and when the storage duration reaches the duration threshold value t, deleting the corresponding internet-of-things data by the data transferring module; the storage space is effectively saved; meanwhile, the data of the Internet of things in the storage module are arranged in a descending order according to the size of the stored value CX, and the retrieval efficiency is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an enterprise collaborative office system based on the internet of things includes a login registration module, a server, a database, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the login registration module is used for inputting personal information by a user for registration login and transmitting the personal information to the server, and the server is used for receiving the personal information transmitted by the login registration module and transmitting the personal information to the database for storage; personal information includes name, gender, birthday, age, academic calendar, home address and company position;
the database stores idle time periods of the conference rooms;
the conference application module is used for inputting a conference application signal by a user through the mobile phone terminal and transmitting the conference application signal to the server, and the server automatically acquires the idle time period of the conference room from the database and sends the idle time period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; a user edits a conference uploading request through a conference application module after receiving an idle time period of a conference room, and marks the time of uploading the conference request as the request uploading time; the conference request comprises an initiator, a conference time period and the number of conference persons; the conference time period comprises conference starting time and conference ending time;
the data analysis module is used for acquiring the conference request and analyzing the conference request, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring a conference request uploaded by a conference application module; calibrating the request uploading time of each uploaded conference request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploaded conference request as a center; the uploading time difference is the time difference between the request uploading moments of the two conference requests; marking all meeting requests with uploading time difference within T1 as meeting requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information; the company positions comprise common staff, group leader, department master, project manager, CEO and the like;
setting all the company positions to have a corresponding preset value, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as D1; wherein, the higher the position is, the larger the corresponding preset value is;
step four: arranging the meeting requests to be analyzed in a descending order according to the corresponding preset values; if the corresponding preset values are the same; further analyzing the conference request to be analyzed; acquiring an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal which sends a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, request uploading moments corresponding to the conference requests sent by the sending terminal are sequenced according to time, time difference between the latest request uploading moment and the current moment of the system is calculated to obtain delay time, and the delay time is marked as CT; acquiring the times of the conference canceling request of the sending terminal, dividing the canceling times by the total times to acquire the canceling rate of the sending terminal, and marking the canceling rate as C2;
obtaining a sending value FS of the sending terminal by using a formula FS (C1 × a1)/(CT × a2+ C2 × a3), wherein a1, a2, and a3 are coefficient factors, for example, a1 takes 0.55, a2 takes 0.67, and a3 takes 0.81;
s42: acquiring meeting starting time, meeting ending time and the number of meeting people in a meeting request to be analyzed; calculating the time difference between the conference starting time and the conference ending time to obtain the conference duration, and marking the conference duration as H1;
calculating the time difference between the conference starting time and the current time of the system to obtain a buffer duration H2;
label the number of conference people as R1;
s43: carrying out normalization processing on the sending value, the conference duration, the buffering duration and the number of the conference people and taking the numerical values;
obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX (FS × a4+ H1 × a5+ R1 × a6)/(H2 × a 7); wherein a4, a5, a6 and a7 are all coefficient factors; for example, a4 takes the value of 0.66, a5 takes the value of 0.18, a6 takes the value of 0.48, and a7 takes the value of 1.21;
s44: the conference requests to be analyzed are arranged in a descending order according to the size of the analytical preference value YX;
the data analysis module is used for sequentially sending the meeting requests to be analyzed to the server according to the sequence of the meeting requests to be analyzed, the server is used for receiving the meeting requests to be analyzed and matching the meeting time periods in the meeting requests to be analyzed with the idle time periods of the meeting room, and if the meeting time periods are in the idle time periods, the data analysis module sends application success signals to the mobile terminal and changes the idle time periods of the meeting room; if the meeting time period is not in the idle time period, sending an application failure signal to the mobile terminal, sending the idle time period of the meeting room at the moment to the mobile terminal, and prompting a user to upload a meeting request again;
the data acquisition module is used for acquiring the Internet of things data acquired by each piece of Internet of things equipment and uploading the Internet of things data to the server, and the server is used for transmitting the Internet of things data to the storage module for storage; the retrieval module is used for retrieving and downloading the Internet of things data stored by the storage module by a user;
the data monitoring module is used for searching, downloading and monitoring the Internet of things data stored in the storage module, generating a searching and downloading signal when the Internet of things data is searched and downloaded and sending the searching and downloading signal to the signal analysis module, and the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and analyzing the signal, and the specific analysis steps are as follows:
v1: when the retrieval downloading signal is monitored, recording retrieval downloading information; the retrieval downloading information comprises the Internet of things data and retrieval downloading time; marking the Internet of things data to be retrieved and downloaded as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time length is T2 time, and T2 is a preset value; for example, T2 takes a value of 3 hours;
continuously carrying out retrieval downloading monitoring on the target data in the countdown stage, automatically returning countdown to an original value when the target data generates a new retrieval downloading signal, and counting down again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of target data in a countdown phase; marking the retrieval download information as Gi, i is 1, i, m and Gm are the last retrieval download information according to the time information;
calculating the time difference between the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain the retrieval duration; and labeled T3;
obtaining the number of times of target data to be retrieved and downloaded in the countdown phase according to the m value and marking as total retrieval times C3;
v4: acquiring an active value HY for obtaining target data by using a formula HY ═ T3 × b1+ C3 × b2) × (C3/T3 × b 3); wherein b1, b2 and b3 are coefficient factors, for example, b1 takes the value of 0.58, b2 takes the value of 0.71 and b3 takes the value of 0.41;
v5: comparing the activity value HY with an activity threshold value;
if the active value HY is not less than the active threshold value, marking the target data as high-frequency data and generating a data updating instruction; marking the Internet of things equipment corresponding to the high-frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the Internet of things data of the target equipment according to the data updating instruction, updating the Internet of things data, and returning the updated Internet of things data to the storage module through the server for storage; meanwhile, the total updating times of the data of the Internet of things are increased by one;
the data management module is used for managing the data of the Internet of things stored in the storage module; the specific management steps are as follows:
VV 1: acquiring the storage time of the data of the Internet of things, calculating the time difference between the storage time and the current time of the system to obtain the storage duration, and marking the storage duration as DT 1;
VV 2: setting the total updating times of the data of the Internet of things as GC; acquiring the updating time of each updating of the data of the Internet of things; calculating the time difference between the latest updating time and the current time of the system to obtain the non-updating time length, and marking the non-updating time length as DT 2;
VV 3: counting the times of retrieval and downloading of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX (GC × g1+ C4 × g2)/(DT2 × g3) -DT1 × g4, wherein g1, g2, g3 and g4 are coefficient factors; for example, g1 takes the value of 0.98, g2 takes the value of 0.78, g3 takes the value of 1.25, and g4 takes the value of 0.88;
VV 4: comparing the stored value CX to a stored threshold value; if the stored value CX is less than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold is set to be t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold t, the data transfer module deletes the corresponding low-frequency data;
VV 5: and after the low-frequency data are transferred to the data transfer module, the data of the Internet of things in the storage module are arranged in a descending order according to the size of the stored value CX.
The working principle of the invention is as follows:
when the enterprise collaborative office system based on the Internet of things works, a conference application module is used for a user to input a conference application signal through a mobile phone terminal, and a server automatically acquires an idle time period of a conference room from a database and sends the idle time period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; a user edits and uploads a conference request through a conference application module after receiving an idle time period of a conference room; the data analysis module is used for acquiring the conference request and analyzing the conference request; taking the request uploading time of one uploaded conference request as a center, and marking all conference requests with uploading time differences within T1 as conference requests to be analyzed; acquiring an initiator of a conference request to be analyzed, and acquiring a company position corresponding to the initiator; arranging meeting requests to be analyzed in a descending order according to the size of a preset value corresponding to the positions of the companies; if the corresponding preset values are the same; further analyzing the conference request to be analyzed; acquiring an optimal analysis value of a conference request to be analyzed; the conference requests to be analyzed are arranged in a descending order according to the size of the analytical preference value YX; the data analysis module is used for sequentially sending the meeting requests to be analyzed to the server for processing according to the sequence of the meeting requests to be analyzed, and the meeting applications can be reasonably arranged according to the occupation condition of a meeting room and the analytical optimization value of the meeting applications, so that resources are reasonably utilized;
the data monitoring module is used for searching, downloading and monitoring the Internet of things data stored in the storage module, when the Internet of things data is monitored to be searched and downloaded, a searching and downloading signal is generated, the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; if the active value HY is not less than the active threshold value, generating a data updating instruction, and updating the data of the Internet of things; the application value of the data of the Internet of things is improved; the data management module is used for managing the data of the Internet of things stored in the storage module; combining the storage duration, the total updating times, the non-updating duration and the number of times of retrieval and downloading of the near three days of the internet-of-things data, obtaining a storage value CX of the internet-of-things data by using a formula CX ═ GC × g1+ C4 × g2)/(DT2 × g3) -DT1 × g4, if the storage value CX is less than a storage threshold value, transferring the corresponding internet-of-things data to a data transferring module, setting the duration threshold value as t, and when the storage duration reaches the duration threshold value t, deleting the corresponding internet-of-things data by the data transferring module; the storage space is effectively saved; meanwhile, the data of the Internet of things in the storage module are arranged in a descending order according to the size of the stored value CX, and the retrieval efficiency is improved.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An enterprise collaborative office system based on the Internet of things is characterized by comprising a login registration module, a server, a database, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the conference application module is used for a user to input a conference application signal through the mobile phone terminal and transmit the conference application signal to the server, and the server automatically acquires the idle time period of the conference room from the database after receiving the conference application signal and sends the idle time period of the conference room to the mobile phone terminal of the user; a user edits a conference uploading request through a conference application module after receiving an idle time period of a conference room, and marks the time of uploading the conference request as the request uploading time;
the data analysis module is used for acquiring the conference requests, analyzing the conference requests and acquiring the sequence of the acquired conference requests; the data analysis module is used for sequentially sending the meeting requests to be analyzed to the server for processing according to the sequence of the meeting requests to be analyzed;
the data monitoring module is used for searching, downloading and monitoring the Internet of things data stored in the storage module, generating a searching and downloading signal when the Internet of things data is monitored to be searched and downloaded, and sending the searching and downloading signal to the signal analysis module, and the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; comparing the activity value HY with an activity threshold value; and if the active value HY is larger than or equal to the active threshold value, marking the target data as high-frequency data and generating a data updating instruction.
2. The Internet of things-based enterprise cooperative office system according to claim 1, wherein the login registration module is used for a user to input personal information for registration login and transmit the personal information to the server, and the server is used for receiving the personal information transmitted by the login registration module and transmitting the personal information to the database for storage; the personal information comprises name, gender, birthday, age, academic calendar, family address and company position; the database stores idle periods of the conference room.
3. The Internet of things-based enterprise cooperative office system according to claim 1, wherein the data analysis module specifically analyzes the steps as follows:
the method comprises the following steps: acquiring a conference request uploaded by a conference application module; the conference request comprises an initiator, a conference time period and the number of conference persons; the conference time period comprises conference starting time and conference ending time; calibrating the request uploading time of each uploaded conference request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploaded conference request as a center; the uploading time difference is the time difference between the request uploading moments of the two conference requests; marking all meeting requests with uploading time difference within T1 as meeting requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting all the company positions to have a corresponding preset value, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as D1;
step four: arranging the meeting requests to be analyzed in a descending order according to the corresponding preset values; if the corresponding preset values are the same; further analyzing the conference request to be analyzed; acquiring an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal which sends a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, request uploading moments corresponding to the conference requests sent by the sending terminal are sequenced according to time, time difference between the latest request uploading moment and the current moment of the system is calculated to obtain delay time, and the delay time is marked as CT;
acquiring the times of the conference canceling request of the sending terminal, dividing the canceling times by the total times to acquire the canceling rate of the sending terminal, and marking the canceling rate as C2;
obtaining a transmission value FS of the transmitting terminal by using a formula FS (C1 × a1)/(CT × a2+ C2 × a3), wherein a1, a2 and a3 are coefficient factors;
s42: acquiring meeting starting time, meeting ending time and the number of meeting people in a meeting request to be analyzed; calculating the time difference between the conference starting time and the conference ending time to obtain the conference duration, and marking the conference duration as H1; calculating the time difference between the conference starting time and the current time of the system to obtain a buffer duration H2;
label the number of conference people as R1;
s43: carrying out normalization processing on the sending value, the conference duration, the buffering duration and the number of the conference people and taking the numerical values; obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX (FS × a4+ H1 × a5+ R1 × a6)/(H2 × a 7);
s44: and the meeting requests to be analyzed are arranged in a descending order according to the size of the optimum analysis value YX.
4. The enterprise cooperative office system based on the internet of things of claim 1, wherein the data acquisition module is used for acquiring internet of things data acquired by each piece of internet of things equipment and uploading the internet of things data to a server, and the server is used for transmitting the internet of things data to a storage module for storage; the retrieval module is used for a user to retrieve and download the Internet of things data stored in the storage module.
5. The enterprise cooperative office system based on the internet of things as claimed in claim 1, wherein the server is configured to receive a conference request to be analyzed, match a conference time period in the conference request to be analyzed with an idle time period of a conference room, and send an application success signal to the mobile terminal and change the idle time period of the conference room if the conference time period is within the idle time period; and if the meeting time period is not in the idle time period, sending an application failure signal to the mobile terminal, and sending the idle time period of the meeting room at the moment to the mobile terminal to prompt the user to upload the meeting request again.
6. The internet of things-based enterprise cooperative office system according to claim 1, wherein the specific analysis steps of the signal analysis module are as follows:
v1: when the retrieval downloading signal is monitored, recording retrieval downloading information; the retrieval downloading information comprises Internet of things data and retrieval downloading time; marking the Internet of things data to be retrieved and downloaded as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time length is T2 time, and T2 is a preset value;
continuously carrying out retrieval downloading monitoring on the target data in the countdown stage, automatically returning countdown to an original value when the target data generates a new retrieval downloading signal, and counting down again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of target data in a countdown phase; marking the retrieval download information as Gi, i is 1, i, m and Gm are the last retrieval download information according to the time information;
calculating the time difference between the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain the retrieval duration; and labeled T3;
obtaining the number of times of target data to be retrieved and downloaded in the countdown phase according to the m value and marking as total retrieval times C3;
v4: acquiring an active value HY for obtaining target data by using a formula HY ═ T3 × b1+ C3 × b2) × (C3/T3 × b 3); wherein b1, b2 and b3 are coefficient factors;
v5: comparing the activity value HY with an activity threshold value;
if the active value HY is not less than the active threshold value, marking the target data as high-frequency data and generating a data updating instruction; marking the Internet of things equipment corresponding to the high-frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the Internet of things data of the target equipment according to the data updating instruction for updating, and returning the updated Internet of things data to the storage module through the server for storage; meanwhile, the total updating times of the data of the Internet of things are increased by one.
7. The internet-of-things-based enterprise cooperative office system according to claim 1, wherein the data management module is configured to manage internet-of-things data stored in the storage module; the specific management steps are as follows:
VV 1: acquiring the storage time of the data of the Internet of things, calculating the time difference between the storage time and the current time of the system to obtain the storage duration, and marking the storage duration as DT 1;
VV 2: setting the total updating times of the data of the Internet of things as GC; acquiring the updating time of each updating of the data of the Internet of things; calculating the time difference between the latest updating time and the current time of the system to obtain the non-updating time length, and marking the non-updating time length as DT 2;
VV 3: counting the times of retrieval and downloading of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX (GC × g1+ C4 × g2)/(DT2 × g3) -DT1 × g4, wherein g1, g2, g3 and g4 are coefficient factors;
VV 4: comparing the stored value CX to a stored threshold value; if the stored value CX is less than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold is set to be t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold t, the data transfer module deletes the corresponding low-frequency data;
VV 5: and after the low-frequency data are transferred to the data transfer module, the data of the Internet of things in the storage module are arranged in a descending order according to the size of the stored value CX.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110746604.0A CN113487278B (en) | 2021-07-02 | 2021-07-02 | Enterprise collaborative office system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110746604.0A CN113487278B (en) | 2021-07-02 | 2021-07-02 | Enterprise collaborative office system based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113487278A true CN113487278A (en) | 2021-10-08 |
| CN113487278B CN113487278B (en) | 2023-05-09 |
Family
ID=77939999
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110746604.0A Active CN113487278B (en) | 2021-07-02 | 2021-07-02 | Enterprise collaborative office system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113487278B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114035752A (en) * | 2021-12-01 | 2022-02-11 | 特斯联科技集团有限公司 | Urban carbon neutralization data processing system |
| CN116339882A (en) * | 2022-11-07 | 2023-06-27 | 广东星神科技有限公司 | Office system collaborative display method, device, equipment and medium based on Internet of things |
Citations (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1992601A (en) * | 2005-12-30 | 2007-07-04 | 英业达股份有限公司 | Data downloading system and method |
| CN101068173A (en) * | 2006-06-08 | 2007-11-07 | 腾讯科技（深圳）有限公司 | Resource sharing method and system |
| CN101719073A (en) * | 2009-11-20 | 2010-06-02 | 浪潮集团山东通用软件有限公司 | Intelligent client-based on-demand downloading realization method |
| CN103118076A (en) * | 2013-01-11 | 2013-05-22 | 烽火通信科技股份有限公司 | Upgraded server cluster system and load balancing method thereof |
| CN103136214A (en) * | 2011-11-24 | 2013-06-05 | 中国移动通信集团公司 | Scheduling method and system and equipment of spatial data |
| CN103841168A (en) * | 2012-11-27 | 2014-06-04 | 中国电信股份有限公司 | Data copy updating method and metadata server |
| CN103886447A (en) * | 2012-12-24 | 2014-06-25 | 北大方正集团有限公司 | Meeting room reservation method and device |
| CN104701982A (en) * | 2015-02-06 | 2015-06-10 | 国家电网公司 | Method for automatically updating distribution line monitor terminal |
| CN105786556A (en) * | 2014-12-26 | 2016-07-20 | 博雅网络游戏开发（深圳）有限公司 | Software update guide method and device |
| CN105893448A (en) * | 2015-12-30 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Method and system for generating application popularity list |
| CN106210015A (en) * | 2016-07-05 | 2016-12-07 | 福州大学 | A kind of cloud storage method of temperature data buffer storage in mixed cloud structure |
| CN106487794A (en) * | 2016-10-21 | 2017-03-08 | 晋康（上海）医药科技有限公司 | A kind of self-service meeting room and its management system and management method |
| CN106537339A (en) * | 2016-06-28 | 2017-03-22 | 深圳狗尾草智能科技有限公司 | Single skill package upgrade management device and method |
| CN107273446A (en) * | 2017-05-27 | 2017-10-20 | 杭州清本科技有限公司 | The data administrator of distributed data base |
| CN108650245A (en) * | 2018-04-24 | 2018-10-12 | 上海奥孛睿斯科技有限公司 | Internet of things system based on augmented reality and operation method |
| CN108769232A (en) * | 2018-06-07 | 2018-11-06 | Oppo（重庆）智能科技有限公司 | Application resource method for pushing, device, equipment and storage medium |
| CN109769005A (en) * | 2017-11-09 | 2019-05-17 | 宁波方太厨具有限公司 | A kind of data cache method and data buffering system of network request |
| CN110097200A (en) * | 2019-03-16 | 2019-08-06 | 平安城市建设科技(深圳)有限公司 | Meeting room preordering method, device, equipment and storage medium |
| US20190244498A1 (en) * | 2017-11-28 | 2019-08-08 | Wireless Guardian, Inc. | Methods and apparatus to locate and track mobile device users for security applications |
| CN110162528A (en) * | 2019-05-24 | 2019-08-23 | 安徽芃睿科技有限公司 | Magnanimity big data search method and system |
| US20190294688A1 (en) * | 2018-03-20 | 2019-09-26 | Locus Robotics Corp. | Deep caching in the data access layer of an enterprise portal application |
| CN110288106A (en) * | 2019-05-21 | 2019-09-27 | 深圳壹账通智能科技有限公司 | Meeting room heating power drawing generating method, device, equipment and storage medium |
| CN110310089A (en) * | 2019-06-25 | 2019-10-08 | 河海大学常州校区 | A kind of meeting room management system and method based on intelligent dispatching algorithm |
| CN110597452A (en) * | 2018-06-13 | 2019-12-20 | 中国移动通信有限公司研究院 | Data processing method and device of storage system, storage server and storage medium |
| CN111352633A (en) * | 2020-02-24 | 2020-06-30 | 腾讯科技（深圳）有限公司 | Resource downloading method and device of application program, terminal and storage medium |
| US20200258051A1 (en) * | 2019-02-12 | 2020-08-13 | Citrix Systems, Inc. | Automatic online meeting assignment triggered by user location |
| CN111565144A (en) * | 2020-04-26 | 2020-08-21 | 广州数源畅联科技有限公司 | Data layered storage management method for instant communication tool |
| US20200404027A1 (en) * | 2019-01-02 | 2020-12-24 | Boe Technology Group Co., Ltd. | Network conference management method and apparatus and storage medium, and network conference platform and system |
| CN112256733A (en) * | 2020-10-19 | 2021-01-22 | 北京字节跳动网络技术有限公司 | Data caching method and device, electronic equipment and computer readable storage medium |
| US20210027208A1 (en) * | 2016-02-18 | 2021-01-28 | Hewlett-Packard Development Company, L.P. | Determining availability of conference rooms |
| CN112330269A (en) * | 2020-10-21 | 2021-02-05 | 安徽孺牛科技有限公司 | Cloud mode paperless office and management system based on local area network |
| CN112653636A (en) * | 2020-12-19 | 2021-04-13 | 珍岛信息技术（上海）股份有限公司 | Network data intelligent distribution service system |
| CN113011622A (en) * | 2021-03-16 | 2021-06-22 | 北京百度网讯科技有限公司 | Meeting room reservation processing method and device, computing equipment and medium |
-
2021
- 2021-07-02 CN CN202110746604.0A patent/CN113487278B/en active Active
Patent Citations (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1992601A (en) * | 2005-12-30 | 2007-07-04 | 英业达股份有限公司 | Data downloading system and method |
| CN101068173A (en) * | 2006-06-08 | 2007-11-07 | 腾讯科技（深圳）有限公司 | Resource sharing method and system |
| CN101719073A (en) * | 2009-11-20 | 2010-06-02 | 浪潮集团山东通用软件有限公司 | Intelligent client-based on-demand downloading realization method |
| CN103136214A (en) * | 2011-11-24 | 2013-06-05 | 中国移动通信集团公司 | Scheduling method and system and equipment of spatial data |
| CN103841168A (en) * | 2012-11-27 | 2014-06-04 | 中国电信股份有限公司 | Data copy updating method and metadata server |
| CN103886447A (en) * | 2012-12-24 | 2014-06-25 | 北大方正集团有限公司 | Meeting room reservation method and device |
| CN103118076A (en) * | 2013-01-11 | 2013-05-22 | 烽火通信科技股份有限公司 | Upgraded server cluster system and load balancing method thereof |
| CN105786556A (en) * | 2014-12-26 | 2016-07-20 | 博雅网络游戏开发（深圳）有限公司 | Software update guide method and device |
| CN104701982A (en) * | 2015-02-06 | 2015-06-10 | 国家电网公司 | Method for automatically updating distribution line monitor terminal |
| CN105893448A (en) * | 2015-12-30 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Method and system for generating application popularity list |
| US20210027208A1 (en) * | 2016-02-18 | 2021-01-28 | Hewlett-Packard Development Company, L.P. | Determining availability of conference rooms |
| CN106537339A (en) * | 2016-06-28 | 2017-03-22 | 深圳狗尾草智能科技有限公司 | Single skill package upgrade management device and method |
| CN106210015A (en) * | 2016-07-05 | 2016-12-07 | 福州大学 | A kind of cloud storage method of temperature data buffer storage in mixed cloud structure |
| CN106487794A (en) * | 2016-10-21 | 2017-03-08 | 晋康（上海）医药科技有限公司 | A kind of self-service meeting room and its management system and management method |
| CN107273446A (en) * | 2017-05-27 | 2017-10-20 | 杭州清本科技有限公司 | The data administrator of distributed data base |
| CN109769005A (en) * | 2017-11-09 | 2019-05-17 | 宁波方太厨具有限公司 | A kind of data cache method and data buffering system of network request |
| US20190244498A1 (en) * | 2017-11-28 | 2019-08-08 | Wireless Guardian, Inc. | Methods and apparatus to locate and track mobile device users for security applications |
| US20190294688A1 (en) * | 2018-03-20 | 2019-09-26 | Locus Robotics Corp. | Deep caching in the data access layer of an enterprise portal application |
| CN108650245A (en) * | 2018-04-24 | 2018-10-12 | 上海奥孛睿斯科技有限公司 | Internet of things system based on augmented reality and operation method |
| CN108769232A (en) * | 2018-06-07 | 2018-11-06 | Oppo（重庆）智能科技有限公司 | Application resource method for pushing, device, equipment and storage medium |
| CN110597452A (en) * | 2018-06-13 | 2019-12-20 | 中国移动通信有限公司研究院 | Data processing method and device of storage system, storage server and storage medium |
| US20200404027A1 (en) * | 2019-01-02 | 2020-12-24 | Boe Technology Group Co., Ltd. | Network conference management method and apparatus and storage medium, and network conference platform and system |
| US20200258051A1 (en) * | 2019-02-12 | 2020-08-13 | Citrix Systems, Inc. | Automatic online meeting assignment triggered by user location |
| CN110097200A (en) * | 2019-03-16 | 2019-08-06 | 平安城市建设科技(深圳)有限公司 | Meeting room preordering method, device, equipment and storage medium |
| CN110288106A (en) * | 2019-05-21 | 2019-09-27 | 深圳壹账通智能科技有限公司 | Meeting room heating power drawing generating method, device, equipment and storage medium |
| CN110162528A (en) * | 2019-05-24 | 2019-08-23 | 安徽芃睿科技有限公司 | Magnanimity big data search method and system |
| CN110310089A (en) * | 2019-06-25 | 2019-10-08 | 河海大学常州校区 | A kind of meeting room management system and method based on intelligent dispatching algorithm |
| CN111352633A (en) * | 2020-02-24 | 2020-06-30 | 腾讯科技（深圳）有限公司 | Resource downloading method and device of application program, terminal and storage medium |
| CN111565144A (en) * | 2020-04-26 | 2020-08-21 | 广州数源畅联科技有限公司 | Data layered storage management method for instant communication tool |
| CN112256733A (en) * | 2020-10-19 | 2021-01-22 | 北京字节跳动网络技术有限公司 | Data caching method and device, electronic equipment and computer readable storage medium |
| CN112330269A (en) * | 2020-10-21 | 2021-02-05 | 安徽孺牛科技有限公司 | Cloud mode paperless office and management system based on local area network |
| CN112653636A (en) * | 2020-12-19 | 2021-04-13 | 珍岛信息技术（上海）股份有限公司 | Network data intelligent distribution service system |
| CN113011622A (en) * | 2021-03-16 | 2021-06-22 | 北京百度网讯科技有限公司 | Meeting room reservation processing method and device, computing equipment and medium |
Non-Patent Citations (3)
| Title |
|---|
| LINH DUC TRAN 等: "A smart meeting room scheduling and management system with utilization control and ad-hoc support based on real-time occupancy detection", 《2016 IEEE SIXTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS》 * |
| 李展: "基于J2EE的高校协同办公系统的设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 申时凯 等: "《物联网的安全技术研究》", 31 December 2019 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114035752A (en) * | 2021-12-01 | 2022-02-11 | 特斯联科技集团有限公司 | Urban carbon neutralization data processing system |
| CN116339882A (en) * | 2022-11-07 | 2023-06-27 | 广东星神科技有限公司 | Office system collaborative display method, device, equipment and medium based on Internet of things |
| CN116339882B (en) * | 2022-11-07 | 2024-02-09 | 广东星神科技有限公司 | Office system collaborative display method, device, equipment and medium based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113487278B (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113487278A (en) | Enterprise cooperative office system based on Internet of things | |
| KR101391052B1 (en) | Pushing identity information | |
| CN112148679A (en) | Data interaction method, system, device and storage medium based on multiple data platforms | |
| JP4692774B2 (en) | Data distribution system and data distribution method | |
| US20080189440A1 (en) | Multi-way, Peer-to-Peer Synchronization | |
| CN110363621B (en) | Order information pushing system based on artificial intelligence technology | |
| CN102970326B (en) | A kind of method and apparatus of the mood indication information for sharing users | |
| CN102420864B (en) | Massive data-oriented data exchange method | |
| CN101916288B (en) | Mobile communication user search request responding system and processing method thereof | |
| CN110119473A (en) | A kind of construction method and device of file destination knowledge mapping | |
| KR20190107965A (en) | coding education system using drone | |
| CN116303558A (en) | Query statement generation method, data query method and generation model training method | |
| CN109672721B (en) | Media file pushing method and device, server and computer readable storage medium | |
| CN100561477C (en) | Based on key word and shared searching method and the system of classification | |
| CN102202259A (en) | System and method for realizing GPS locus friend-making through nerve network path coupling | |
| CN110198263A (en) | Conversation processing method, device, equipment and system | |
| Dong | Exploration on web usage mining and its application | |
| CN106599068A (en) | Scientific and technical literature information retrieval system of maker venture capital investment space | |
| CN102103606A (en) | Technology for realizing advanced search of commodities on mobile phone client | |
| CN102722914A (en) | Campus computer room management statistical method based on distribution type | |
| CN107707487A (en) | The real-time retrieval system and real-time search method of a kind of network service traffic | |
| CN115426216A (en) | Internet of things node interconnection method based on complex virtual instrument software | |
| CN106294669B (en) | A kind of multiple terminals data collection and relationship converting system and method | |
| CN112800081A (en) | Associated user acquisition method and device | |
| CN105610942A (en) | Learning system and learning method based on PC front end |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230414 Address after: T1-1602, No. 2068 Yanlong Avenue, Central Community, Pingdi Street, Longgang District, Shenzhen City, Guangdong Province, 518000 Applicant after: Shenzhen Dunzehui Technology Co.,Ltd. Address before: 535000 3rd floor, No.8 wisdom Park, No.1 Zhongma street, Zhongma Qinzhou Industrial Park, Qinzhou City, Guangxi Zhuang Autonomous Region Applicant before: Qinzhou yunzhihui Big Data Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |