CN117518939A - Industrial control system based on big data - Google Patents
Industrial control system based on big data Download PDFInfo
- Publication number
- CN117518939A CN117518939A CN202311663347.XA CN202311663347A CN117518939A CN 117518939 A CN117518939 A CN 117518939A CN 202311663347 A CN202311663347 A CN 202311663347A CN 117518939 A CN117518939 A CN 117518939A
- Authority
- CN
- China
- Prior art keywords
- data
- replacement
- time
- signal
- acquired
- 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
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses an industrial control system based on big data, which relates to the technical field of industrial information processing and comprises an aging detection module, a replacement data analysis module, a signal control module and a control terminal, wherein the time threshold value and the receiving time of collected data are judged, a replacement signal is generated according to a judgment result, when the replacement data analysis module detects the replacement signal, correlation analysis is carried out on historical collected data and the collection time to obtain the replacement data, then the replacement data is used for replacing delayed collected data, a control signal is generated, the replacement data in the control signal is detected, a replacement label is generated, the occupation ratio of the replacement label is analyzed, an abnormal signal of system transmission is obtained, then the control signal is received by the control terminal, and corresponding instructions are executed according to the control signal, so that the timeliness of the generation of the control signal in the control system is improved, and further the working efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of industrial information processing, and particularly relates to an industrial control system based on big data.
Background
Industrial control systems are a requirement for large data volume, high rate transmission such as image, voice signals, etc., which has driven the current popularity of combining ethernet networks with control networks in the commercial world.
The invention of patent application publication number CN103676803a discloses an industrial control system comprising: at least one control terminal for collecting the production data of the production object in the production process and sending the data to the management device; receiving first control data sent by the management device, and controlling a production object according to the first control data; the management device is connected with the control terminal through the Internet of things and is used for receiving and storing production data sent by the control terminal; and issuing first control data for controlling the production object to the control terminal.
However, there are multiple subsystems in the industrial control system, where when information collection or information feedback is performed, signal delay occurs in the multiple subsystems, and when the total control station lacks collected data, control information of the system is not transmitted timely, and thus a system fault is caused, and when the control system is seriously caused to run to half, the control system is forcibly stopped, so that serious economic loss is caused to the industrial generation process.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides an industrial control system based on big data, which is used for solving the technical problems.
To achieve the above object, an embodiment according to a first aspect of the present invention proposes an industrial control system based on big data, comprising:
the aging detection module is used for judging the receiving time and the time threshold value of the acquired data and generating a replacement signal according to a judging result;
the replacement data analysis module is used for receiving the replacement signal, and carrying out correlation analysis on the historical acquisition data and the acquisition time to obtain the replacement data;
the signal control module is used for receiving the replacement data, replacing the delayed acquisition data with the replacement data and generating a control signal;
and the control terminal is used for receiving the control signal and executing a corresponding instruction according to the control signal.
As a further scheme of the invention, the acquired data is detected by the detection equipment in the data acquisition module and transmitted to the aging detection module.
As a further aspect of the present invention, the method for obtaining the replacement signal includes:
when the time efficiency detection module receives the collected data in the time threshold Tx1, the time efficiency detection module transmits the collected data to the signal control module, and otherwise, a replacement signal is generated.
As a further aspect of the present invention, the time threshold Tx1 is a standard transmission time multiplied by α1, and α1 is greater than 1, and the method for obtaining the standard transmission time is as follows:
the device transmission distance and the standard transmission speed are obtained, and then the standard transmission time is obtained by dividing the device transmission distance by the standard transmission speed.
As a further scheme of the invention, the equipment transmission distance and the standard transmission speed are acquired by the information acquisition module and transmitted to the aging detection module.
As a further aspect of the present invention, the method for acquiring replacement data includes:
taking a subsystem for generating a replacement signal as a target system, and taking the current time as a reference, acquiring acquisition data Ci of the previous cycle time in the target system and corresponding acquisition time Ti, wherein the cycle time is a threshold value;
then carrying out correlation calculation on the acquired data and the acquired time to obtain a correlation value, and generating a time irrelevant signal when the correlation value is smaller than a correlation threshold value, otherwise, generating a time relevant signal;
when the time-independent signal is generated, taking the average value of the acquired data in the period time as the replacement data of the target system, when the time-dependent signal is generated, taking the acquired time as an independent variable, taking the acquired data as an independent variable, performing linear simulation to obtain a linear algebraic expression of the acquired data changing along with the acquired time, taking the acquired time as an input quantity, inputting the acquired time into the linear algebraic expression, and taking the output data as the replacement data.
As a further aspect of the invention, the collected data during the cycle time is stored in a data storage center, and data is transmitted bi-directionally between the data storage center and the replacement data analysis module.
As a further scheme of the invention, the invention also comprises a data comparison module for comparing the replacement data with the received acquisition data, and the specific comparison method comprises the following steps:
when the target system generates the replacement data, marking the data replaced by the replacement data as delay data, and generating a data missing signal when the time effect detection module does not receive the delay data within t2 time, wherein t2 is a threshold value and t2 is larger than Tx1, otherwise, subtracting the replacement data from the received delay data and taking the absolute value as a difference value;
when the difference value is within the threshold value XC, no processing is performed, otherwise, a replacement abnormality signal is generated and transmitted to the control terminal.
The invention further provides a label detection module, when the control signal generated by the signal control module contains replacement data, the control signal is used for generating a replacement label, and then the label detection module is used for detecting the replacement label, and the specific detection method is as follows:
when the equipment operation control is finished, acquiring the acquisition times of the acquired data in each subsystem, acquiring the generation times of the replacement tag, and dividing the generation times of the replacement tag by the acquisition times of the acquired data to obtain a delay occupation ratio;
and comparing the delay occupation ratio with the delay coefficient, and when the delay occupation ratio is smaller than or equal to the delay coefficient, not performing any operation, otherwise, generating a system transmission abnormal signal, and then transmitting the system transmission abnormal signal to the control terminal by the tag detection module.
As a further scheme of the invention, the control terminal is also used for respectively generating corresponding reminding signals according to the received signals to remind outside personnel.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the time for receiving the acquired data is detected by adopting the aging detection module, when the time for receiving the acquired data is not received within the time threshold, the replacement signal is generated, and the historical acquired data is analyzed by the replacement data analysis module to obtain the replacement data, so that the control signal is generated in time, the timeliness of the generation of the control signal in the control system is improved, and the working efficiency is further improved;
according to the invention, the replacement data is compared with the delay data, so that the accuracy of control signal generation is improved;
the invention obtains the abnormal signal of system transmission by comparing the occupation ratio of the replacement label generated in the running process of the equipment, so that the equipment can timely find out the transmission and collect the abnormal information in the process of transmitting the signal, thereby being convenient for timely maintaining the industrial control system.
Drawings
FIG. 1 is a schematic diagram of a system frame of the present invention;
fig. 2 is a schematic diagram of a flow frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1 and 2, the present application provides an industrial control system based on big data, which includes a data storage center, an information acquisition module, a data acquisition module, an aging detection module, a replacement data analysis module, a signal control module, and a control terminal;
the data storage center is used for storing historical data information, wherein the historical data information refers to collected data of each subsystem, and then the data storage center and the replacement data analysis module perform bidirectional data transmission;
the information acquisition module is used for acquiring equipment information in the system and transmitting the equipment information to the aging detection module, wherein the equipment information comprises equipment transmission distance and standard transmission speed of equipment;
the data acquisition module is used for detecting data in the subsystems to obtain acquired data, and then the data acquisition module transmits the acquired data to the aging detection module, and the system is mainly an integrated industrial control system, so that a plurality of subsystems are arranged in the system, each subsystem is provided with a detection device, in the embodiment, the detection device is set as a sensor, and the acquired data is the data detected in the sensor;
the aging detection module is used for detecting the receiving time of the acquired data and generating a replacement signal according to a judgment result, and the specific detection method comprises the following steps:
s1: firstly, extracting the equipment transmission distance in equipment information, wherein the equipment transmission distance refers to the transmission distance between a subsystem and a total control station in an industrial control system, in the embodiment, the integrated industrial control system consists of a plurality of subsystems and the total control station, the total control station is used for receiving and processing data transmitted in the subsystems to obtain control signals, the control signals are respectively transmitted to the corresponding subsystems, and the subsystems execute actions according to the received control signals, wherein different subsystems are distributed in different industrial detection areas, so that the transmission distance between each subsystem and the total control station is different;
s2: then extracting the standard transmission speed of the transmission equipment in the equipment information, wherein the standard transmission speed is determined by the specific transmission equipment, and dividing the equipment transmission distance by the standard transmission speed to obtain the standard transmission time t1 of the subsystem;
s3: when the subsystem transmits the acquired data to the total control station, detecting the receiving time of the acquired data in the total control station, when the total control station receives the acquired data in a time threshold Tx1, transmitting the acquired data to the signal control module by the aging detection module, otherwise, when the total control station does not receive the acquired data in the time threshold Tx1, generating a replacement signal, and then transmitting the replacement signal to the replacement data analysis module by the aging detection module, wherein the time threshold Tx1 is a standard transmission time multiplied by alpha 1, and alpha 1 is set by a person related to the field, and in the embodiment, alpha 1 is larger than 1;
the replacement data analysis module is used for receiving the replacement signal and generating replacement data according to the replacement signal, and the specific replacement data acquisition method comprises the following steps:
ST1: taking a subsystem for generating a replacement signal as a target system, simultaneously taking the current time as a reference, acquiring acquisition data of the target system in the previous cycle time, and sequentially acquiring data marked as C1, C2, … … and Ci according to a time sequence, wherein the cycle time is set by professionals related to the field as a threshold value in the embodiment;
meanwhile, the acquisition time corresponding to each acquisition data is marked as Ti in sequence, and the specific acquisition data Ci corresponds to the acquisition time Ti one by one;
ST2: calculating the correlation between the acquired data and the acquisition time to obtain a correlation value, wherein the specific correlation calculation is the prior art, and in the embodiment, the correlation calculation can be performed by adopting a pearson correlation coefficient;
when the correlation value is smaller than the correlation threshold, generating a time irrelevant signal at the moment, which indicates that no correlation exists between the acquired data and the acquired time, namely the acquired data does not change along with the change of the acquired time, and when the correlation value is larger than or equal to the correlation threshold, generating a time relevant signal at the moment, namely the acquired data of the target system changes along with the change of the acquired time, wherein the correlation threshold is specifically set by a professional in the field;
ST3: when a time irrelevant signal is detected, taking an average value of acquired data in the period time as replacement data of a target system at the moment;
when a time-dependent signal is detected, taking the acquisition time as an independent variable, carrying out linear simulation on the acquisition data as the dependent variable to obtain a linear algebraic expression of the change of the acquisition data along with the acquisition time, then taking the acquisition time at the moment as an input quantity, inputting the acquisition time into the linear algebraic expression, and taking the output data as replacement data;
the replacement data analysis module transmits the replacement data to the signal control module;
the signal control module is used for generating a control signal according to the received acquisition data and transmitting the control signal to a corresponding subsystem, and further comprises the steps that when the received acquisition data contains replacement data and generates the control signal according to the replacement data, a replacement tag is generated in the control signal, and then the signal control module transmits the control signal to the control terminal;
the control terminal is used for receiving the control signal and detecting the control signal, and when the control terminal detects that the control signal contains the replacement tag, the control terminal generates reminding information and displays the reminding information for an external manager to check.
Embodiment two:
the difference between the first embodiment and the first embodiment is that the present embodiment further includes a data comparison module;
the data comparison module is used for comparing the replacement data with the received acquisition data, and the specific data comparison method is as follows:
after the replacement data is generated in the target system, continuously detecting the unreceived acquisition data at the moment, marking the unreceived acquisition data as delay data, and generating a data missing signal and transmitting the data missing signal to the control terminal when the delay data is not received in the total control station within t2 time, wherein t2 is a threshold value, and t2 is larger than Tx1;
when the total control station receives the delay data in the time t2, subtracting the replacement data from the delay data, taking the absolute value of the delay data as the difference value of the delay data, and not performing any processing when the difference value is within the range of a threshold value XC, otherwise, generating a replacement abnormal signal when the difference value is not within the range of the threshold value XC, and transmitting the replacement abnormal signal to a display terminal, wherein the threshold value XC is set by a person skilled in the art;
when the control terminal detects the data missing signal or the replacement abnormal signal, the control terminal generates a corresponding signal prompt and transmits the corresponding signal prompt to a corresponding manager, and the manager checks the production action according to the data missing signal or the replacement abnormal signal;
embodiment III:
the difference between the first embodiment and the second embodiment is that the embodiment further comprises a label detection module;
the label detection module is used for detecting the replacement label, and the specific replacement label detection method comprises the following steps:
when the equipment operation control is finished, acquiring the acquisition times of the acquired data in each subsystem, acquiring the generation times of the replacement tag, and dividing the generation times of the replacement tag by the acquisition times of the acquired data to obtain a delay occupation ratio;
comparing the delay occupation ratio with a delay coefficient, when the delay occupation ratio is smaller than or equal to the delay coefficient, not performing any operation, when the delay occupation ratio is larger than the delay coefficient, generating a system transmission abnormal signal, and then transmitting the system transmission abnormal signal to a control terminal by a tag detection module;
when the control terminal receives the abnormal signal transmitted by the system, generating reminding information, transmitting the reminding information to corresponding management personnel, checking the reminding information by the management personnel, and performing fault investigation on the system.
Embodiment four:
the present embodiment is implemented by fusing the first, second and third embodiments on the basis of the first, second and third embodiments.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (10)
1. An industrial control system based on big data, comprising:
the aging detection module is used for judging the receiving time and the time threshold value of the acquired data and generating a replacement signal according to a judging result;
the replacement data analysis module is used for receiving the replacement signal, and carrying out correlation analysis on the historical acquisition data and the acquisition time to obtain the replacement data;
the signal control module is used for receiving the replacement data, replacing the delayed acquisition data with the replacement data and generating a control signal;
and the control terminal is used for receiving the control signal and executing a corresponding instruction according to the control signal.
2. The industrial control system based on big data according to claim 1, wherein the collected data is detected by a detection device in the data collection module and transmitted to the aging detection module.
3. The industrial control system based on big data according to claim 1, wherein the method for obtaining the replacement signal comprises:
when the time efficiency detection module receives the collected data in the time threshold Tx1, the time efficiency detection module transmits the collected data to the signal control module, and otherwise, a replacement signal is generated.
4. A big data based industrial control system according to claim 3, wherein the time threshold Tx1 is a standard transmission time multiplied by α1, α1 is larger than 1, and the standard transmission time is obtained by:
the device transmission distance and the standard transmission speed are obtained, and then the standard transmission time is obtained by dividing the device transmission distance by the standard transmission speed.
5. The industrial control system according to claim 4, wherein the equipment transmission distance and the standard transmission speed are acquired by the information acquisition module and transmitted to the aging detection module.
6. The industrial control system based on big data according to claim 1, wherein the method for acquiring the replacement data comprises:
taking a subsystem for generating a replacement signal as a target system, and taking the current time as a reference, acquiring acquisition data Ci of the previous cycle time in the target system and corresponding acquisition time Ti, wherein the cycle time is a threshold value;
then carrying out correlation calculation on the acquired data and the acquired time to obtain a correlation value, and generating a time irrelevant signal when the correlation value is smaller than a correlation threshold value, otherwise, generating a time relevant signal;
when the time-independent signal is generated, taking the average value of the acquired data in the period time as the replacement data of the target system, when the time-dependent signal is generated, taking the acquired time as an independent variable, taking the acquired data as an independent variable, performing linear simulation to obtain a linear algebraic expression of the acquired data changing along with the acquired time, taking the acquired time as an input quantity, inputting the acquired time into the linear algebraic expression, and taking the output data as the replacement data.
7. The big data based industrial control system of claim 6, wherein the collected data over the period of time is stored in a data storage center, and wherein data is transferred bi-directionally between the data storage center and the replacement data analysis module.
8. The industrial control system based on big data according to claim 1, further comprising a data comparison module for comparing the replacement data with the received collected data, wherein the specific comparison method is as follows:
when the target system generates the replacement data, marking the data replaced by the replacement data as delay data, and generating a data missing signal when the time effect detection module does not receive the delay data within t2 time, wherein t2 is a threshold value and t2 is larger than Tx1, otherwise, subtracting the replacement data from the received delay data and taking the absolute value as a difference value;
when the difference value is within the threshold value XC, no processing is performed, otherwise, a replacement abnormality signal is generated and transmitted to the control terminal.
9. The industrial control system based on big data according to claim 1, further comprising a tag detection module, wherein when the control signal generated by the signal control module contains the replacement data, the control signal is generated with a replacement tag, and then the tag detection module detects the replacement tag, and the specific detection method is as follows:
when the equipment operation control is finished, acquiring the acquisition times of the acquired data in each subsystem, acquiring the generation times of the replacement tag, and dividing the generation times of the replacement tag by the acquisition times of the acquired data to obtain a delay occupation ratio;
and comparing the delay occupation ratio with the delay coefficient, and when the delay occupation ratio is smaller than or equal to the delay coefficient, not performing any operation, otherwise, generating a system transmission abnormal signal, and then transmitting the system transmission abnormal signal to the control terminal by the tag detection module.
10. The industrial control system based on big data according to claim 1, wherein the control terminal is further configured to generate corresponding reminding signals according to the received signals, respectively, and remind outside personnel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311663347.XA CN117518939B (en) | 2023-12-06 | 2023-12-06 | Industrial control system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311663347.XA CN117518939B (en) | 2023-12-06 | 2023-12-06 | Industrial control system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117518939A true CN117518939A (en) | 2024-02-06 |
| CN117518939B CN117518939B (en) | 2024-08-16 |
Family
ID=89743775
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311663347.XA Active CN117518939B (en) | 2023-12-06 | 2023-12-06 | Industrial control system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117518939B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118003893A (en) * | 2024-04-09 | 2024-05-10 | 湖南工程学院 | New energy automobile driving device operation management method |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1997008598A1 (en) * | 1995-08-25 | 1997-03-06 | Gff Technopark | Simultaneous, phase-sensitive digital detection process for time-resolved, quasi-simultaneously captured data arrays of a periodically stimulated system |
| CN202342733U (en) * | 2011-10-14 | 2012-07-25 | 中国人民解放军海军工程大学 | Integrated detection device for ship fire fighting system |
| US20160056064A1 (en) * | 2014-08-25 | 2016-02-25 | Kabushiki Kaisha Toshiba | Anomaly detection system and method of manufacturing semiconductor device |
| CN112685236A (en) * | 2020-12-31 | 2021-04-20 | 科华恒盛股份有限公司 | Dual-computer mutual backup method and system of data management system |
| CN112988512A (en) * | 2021-03-12 | 2021-06-18 | 北京奇艺世纪科技有限公司 | Method, device and equipment for detecting time sequence data abnormity and storage medium |
| CN113726911A (en) * | 2021-11-01 | 2021-11-30 | 南京绛门信息科技股份有限公司 | Factory data acquisition and processing system based on Internet of things technology |
| CN114580918A (en) * | 2022-03-08 | 2022-06-03 | 湘阴链田信息科技有限公司 | Rice supply chain information processing system based on Internet of things |
| CN114757589A (en) * | 2022-06-14 | 2022-07-15 | 深圳市拓安信计控仪表有限公司 | Data processing method, server and storage medium |
| CN115130064A (en) * | 2022-07-21 | 2022-09-30 | 中海油能源发展装备技术有限公司 | Vibration data abnormality detection method, device, equipment and storage medium |
| CN115776438A (en) * | 2023-01-29 | 2023-03-10 | 北京珞安科技有限责任公司 | Industrial control data transmission method and system |
| CN115866676A (en) * | 2022-11-28 | 2023-03-28 | 信阳农林学院 | A system and method for automatic collection and analysis of Internet-based big data |
| CN116016237A (en) * | 2023-03-27 | 2023-04-25 | 武汉星翊科技有限公司 | Intelligent gateway monitoring system |
| CN116360367A (en) * | 2023-03-29 | 2023-06-30 | 合肥汇一能源科技有限公司 | Industrial equipment Internet of things data acquisition method and system |
| CN116540597A (en) * | 2023-04-19 | 2023-08-04 | 广州特纳信息科技有限公司 | Industrial control system based on edge calculation |
| CN116679643A (en) * | 2023-06-02 | 2023-09-01 | 广州市顺风船舶服务有限公司 | Industrial equipment control system based on block chain technology |
-
2023
- 2023-12-06 CN CN202311663347.XA patent/CN117518939B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1997008598A1 (en) * | 1995-08-25 | 1997-03-06 | Gff Technopark | Simultaneous, phase-sensitive digital detection process for time-resolved, quasi-simultaneously captured data arrays of a periodically stimulated system |
| CN202342733U (en) * | 2011-10-14 | 2012-07-25 | 中国人民解放军海军工程大学 | Integrated detection device for ship fire fighting system |
| US20160056064A1 (en) * | 2014-08-25 | 2016-02-25 | Kabushiki Kaisha Toshiba | Anomaly detection system and method of manufacturing semiconductor device |
| CN112685236A (en) * | 2020-12-31 | 2021-04-20 | 科华恒盛股份有限公司 | Dual-computer mutual backup method and system of data management system |
| CN112988512A (en) * | 2021-03-12 | 2021-06-18 | 北京奇艺世纪科技有限公司 | Method, device and equipment for detecting time sequence data abnormity and storage medium |
| CN113726911A (en) * | 2021-11-01 | 2021-11-30 | 南京绛门信息科技股份有限公司 | Factory data acquisition and processing system based on Internet of things technology |
| CN114580918A (en) * | 2022-03-08 | 2022-06-03 | 湘阴链田信息科技有限公司 | Rice supply chain information processing system based on Internet of things |
| CN114757589A (en) * | 2022-06-14 | 2022-07-15 | 深圳市拓安信计控仪表有限公司 | Data processing method, server and storage medium |
| CN115130064A (en) * | 2022-07-21 | 2022-09-30 | 中海油能源发展装备技术有限公司 | Vibration data abnormality detection method, device, equipment and storage medium |
| CN115866676A (en) * | 2022-11-28 | 2023-03-28 | 信阳农林学院 | A system and method for automatic collection and analysis of Internet-based big data |
| CN115776438A (en) * | 2023-01-29 | 2023-03-10 | 北京珞安科技有限责任公司 | Industrial control data transmission method and system |
| CN116016237A (en) * | 2023-03-27 | 2023-04-25 | 武汉星翊科技有限公司 | Intelligent gateway monitoring system |
| CN116360367A (en) * | 2023-03-29 | 2023-06-30 | 合肥汇一能源科技有限公司 | Industrial equipment Internet of things data acquisition method and system |
| CN116540597A (en) * | 2023-04-19 | 2023-08-04 | 广州特纳信息科技有限公司 | Industrial control system based on edge calculation |
| CN116679643A (en) * | 2023-06-02 | 2023-09-01 | 广州市顺风船舶服务有限公司 | Industrial equipment control system based on block chain technology |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118003893A (en) * | 2024-04-09 | 2024-05-10 | 湖南工程学院 | New energy automobile driving device operation management method |
| CN118003893B (en) * | 2024-04-09 | 2024-06-07 | 湖南工程学院 | New energy automobile driving device operation management method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117518939B (en) | 2024-08-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110278121B (en) | Method, device, equipment and storage medium for detecting network performance abnormity | |
| CN111143438A (en) | Workshop field data real-time monitoring and anomaly detection method based on stream processing | |
| CN117518939B (en) | Industrial control system based on big data | |
| CN201898519U (en) | Equipment maintenance early-warning device with risk control | |
| CN112801555B (en) | Vehicle dynamic property comprehensive evaluation method based on Internet of vehicles big data | |
| CN111124852A (en) | Fault prediction method and system based on BMC health management module | |
| CN116893643A (en) | Intelligent robot driving track safety control system based on data analysis | |
| CN105116870A (en) | Fault analysis method, device and system of air conditioning unit | |
| CN117522380B (en) | Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance | |
| CN110727669A (en) | A power system sensor data cleaning device and cleaning method | |
| CN118093244A (en) | Cloud computing architecture-based comprehensive monitoring SaaS service platform | |
| CN117788187A (en) | Risk identification system based on enterprise management | |
| CN112988843A (en) | SMT chip mounter fault management and diagnosis system based on SQL Server database | |
| CN116185757A (en) | Intelligent monitoring system for energy consumption of machine room | |
| CN118915600B (en) | Unattended production equipment monitoring method, system and storage medium | |
| CN108377209A (en) | Equipment fault detecting system based on SCADA and detection method | |
| CN119322990A (en) | Real-time online acquisition and analysis method and system for power data | |
| CN116910117A (en) | Multi-dimensional high-calculation-force microclimate sensor data analysis system and method | |
| CN117349154A (en) | Numerical method for predicting uncertainty in software reliability growth model | |
| CN106195247A (en) | A kind of control system of speed variator based on big Db Management Model | |
| CN117055494A (en) | Intelligent factory production on-line monitoring analysis system based on digital twinning | |
| CN100440089C (en) | A Fisher-based Nonlinear Fault Diagnosis System and Method for Industrial Processes | |
| CN117975547A (en) | Operator behavior recognition method and system | |
| CN108830476B (en) | Evaluation method and terminal device for cognitive testing information flow | |
| CN119357905B (en) | Hydroelectric generating set health state evaluation system based on multisource information fusion |
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: 20240729 Address after: 745300 Group 5, Renjia Administrative Village, Yulin Zi Town, Zhengning County, Qingyang City, Gansu Province Applicant after: Shi Zhangpeng Country or region after: China Address before: Room 2306P, 23rd Floor, No. 179 Tianhe North Road, Tianhe District, Guangzhou City, Guangdong Province, 510000 Applicant before: Guangzhou Shunfeng Ship Service Co.,Ltd. Country or region before: China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240905 Address after: 261000 people's Government of Weicheng District, Weifang City, Shandong Province Patentee after: SHANDONG ODELI ELECTRICAL EQUIPMENT CO.,LTD. Country or region after: China Address before: 745300 Group 5, Renjia Administrative Village, Yulin Zi Town, Zhengning County, Qingyang City, Gansu Province Patentee before: Shi Zhangpeng Country or region before: China |