CN117950364A - Intelligent on-site equipment control system - Google Patents

Intelligent on-site equipment control system Download PDF

Info

Publication number
CN117950364A
CN117950364A CN202410346827.1A CN202410346827A CN117950364A CN 117950364 A CN117950364 A CN 117950364A CN 202410346827 A CN202410346827 A CN 202410346827A CN 117950364 A CN117950364 A CN 117950364A
Authority
CN
China
Prior art keywords
equipment
operation parameter
control system
control
master station
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
Application number
CN202410346827.1A
Other languages
Chinese (zh)
Other versions
CN117950364B (en
Inventor
钱亚东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Reengineering Technology Co ltd
Original Assignee
Nanjing Reengineering Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Reengineering Technology Co ltd filed Critical Nanjing Reengineering Technology Co ltd
Priority to CN202410346827.1A priority Critical patent/CN117950364B/en
Priority claimed from CN202410346827.1A external-priority patent/CN117950364B/en
Publication of CN117950364A publication Critical patent/CN117950364A/en
Application granted granted Critical
Publication of CN117950364B publication Critical patent/CN117950364B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Feedback Control In General (AREA)

Abstract

The invention relates to the technical field of control system management, in particular to an intelligent on-site equipment control system, which can effectively solve the problem of operation control replacement takeover when an operation fault problem occurs in a master station control system of adjustable equipment, and can compare the operation control expansion analysis after replacement takeover with the operation state presented by the adjustable equipment under the operation control of the master station control system, identify abnormal regulation records generated by the adjustable equipment in the process of replacement operation control, predict and analyze the condition when the adjustable equipment under the replacement operation control has regulation unbalance, early warn and prompt the time of intervention manual control to a manager, ensure the safe production of the adjustable equipment, and realize safer, more efficient and more intelligent operation control management of the adjustable equipment.

Description

Intelligent on-site equipment control system
Technical Field
The invention relates to the technical field of control system management, in particular to an intelligent on-site equipment control system.
Background
The controllable regulating device in the industrial field is often configured with a master station control system, and through analyzing the workflow of the controllable regulating device and each influencing element and related relation influencing the related workflow by adopting an artificial intelligence group control technology, intelligent, safe and efficient automatic control management of the controllable regulating device is realized.
Disclosure of Invention
The invention aims to provide an intelligent on-site equipment control system for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent in-situ equipment control system, the system comprising: the system comprises a first connection management module, a second connection management module, an operation control switching judgment module, a master station control system operation carding module, an abnormal adjustment judgment identification module and a control management early warning module;
The first connection management module is used for establishing communication connection between a master station control system of the controllable and adjustable equipment and the IRPS cloud server, the master station control system sends heartbeats to the IRPS cloud server at regular time, and the IRPS cloud server correspondingly generates a heartbeat feedback data message, wherein the heartbeat feedback data message comprises analysis data for the running state of the master station control system;
The first connection management module has a communication function, wherein the uplink communication is in a two-channel mode, and the two-channel mode comprises a wired Ethernet and a wireless 4G;
The second connection management module is used for establishing communication connection with a master station control system of the controllable and adjustable equipment and a IRPS cloud server, receiving a plan control mode sent by the master station control system, performing heartbeat monitoring on the master station control system at regular time and sending heartbeat to the IRPS cloud server at regular time; the scheme control mode comprises a plurality of basic control instructions capable of maintaining the controllable and adjustable equipment in a safe running state;
The operation control switching judging module is used for judging that the operation of the master station control system is abnormal when the time length threshold is exceeded and the heartbeat sent by the master station control system is not monitored, and the master station control system is analyzed from the IRPS cloud server to obtain the operation fault of the master station control system in the heartbeat feedback data message correspondingly generated by the master station control system, and executing a plan control mode to replace the master station control system to perform operation control on the controllable adjustable equipment;
Setting operation parameters of the adjustable equipment through Ethernet connection PLC under the condition of executing a plan control mode; in the application, when the master station control system of the controllable adjustable equipment notifies to enter the scheduled control mode or judges that the master station control system is abnormal in operation, the scheduled control mode is executed by the system to replace the master station control system to perform operation control on the controllable adjustable equipment; under the condition that a master station control system of the controllable regulating device normally operates, the system operates in a remote control mode;
when judging that the master station control system of the controllable regulating equipment fails, namely in an abnormal operation state:
(1) Informing a PLC of the controllable regulating device, and only issuing control commands from the system without issuing control commands from the master station control system;
(2) Issuing a control command after judging according to the plan control mode, confirming an execution result of the issued command through the collected feedback data, and interactively displaying a processing result of the plan control mode in real time;
After the master station control system of the controllable regulating device is restored:
(1) Informing the PLC of the controllable regulating device, and only issuing the control command from the master station control system without issuing the control command from the system;
(2) And informing the system, exiting the plan control mode, and switching back to the normal remote operation state.
The master station control system operation combing module is used for extracting historical operation control records of the master station control system, collecting all historical control instructions sent to the controllable adjusting equipment by the master station control system, judging equipment operation parameter items which are subjected to target response regulation and control by each historical control instruction according to the change condition of the operation parameters of the controllable adjusting equipment caused by each historical control instruction, and obtaining target control instruction ranges corresponding to each equipment operation parameter item;
The abnormal adjustment judgment and identification module is used for identifying the reference interval duration of the master station control system in the process of adjusting and controlling the operation parameter items of the controllable adjusting device based on the work flow of the controllable adjusting device according to the target control instruction range of the operation parameter items of the device; the system is used for carrying out state monitoring on each control instruction sent to the controllable regulating equipment in real time in a preset control mode, judging and identifying abnormal regulation records generated on any equipment operation parameter item in the process of executing the preset control mode;
The control management early warning module is used for collecting distribution conditions of abnormal regulation records corresponding to each equipment operation parameter item in the process of executing the plan control mode, constructing a linear function relation of interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when the abnormal regulation record appears for each equipment operation parameter item, combing the record generation time distribution conditions of the abnormal regulation record for all equipment operation parameter item prediction, and early warning and prompting time of intervention manual control for a manager.
Preferably, the master station control system operates the carding module to include a parameter value sequence carding unit:
The method comprises the steps that a time stamp T for a master station acquisition control system to send any history control instruction to controllable adjusting equipment is used for setting minimum interval duration T 0;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of controllable adjustable equipment at the time of T-T 0 to obtain a first parameter value sequence L1= { Y (r 1)、Y(r2)、...、Y(rn) } corresponding to any history control instruction; wherein Y (r 1)、Y(r2)、...、Y(rn) represents the time T-T 0, is positioned at the 1 st, the 2 nd parameter values on n plant operating parameter items r 1、r2、...、rn;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of controllable adjustable equipment at the time T+t 0 to obtain a second parameter value sequence L2= { Y (r 1)'、Y(r2)'、...、Y(rn)' } corresponding to any history control instruction; wherein Y (r 1)'、Y(r2)'、...、Y(rn)' represents the time T+t 0, is positioned at the 1 st, the 2nd parameter values on n plant operating parameter items r 1、r2、...、rn.
Preferably, the master station control system operation carding module comprises a target control instruction identification unit:
The method comprises the steps of setting a numerical value of an ith equipment operation parameter item r i in a first parameter value sequence L1 as Y (r i), setting a numerical value of a second parameter value sequence L2 as Y (r i)', and judging any historical control instruction as a target control instruction for responding and regulating the ith equipment operation parameter item r i when an operation parameter fluctuation value X (r i)=|Y(ri)'-Y(ri) generated by the ith equipment operation parameter item r i based on any historical control instruction meets X (r i) > beta; wherein β represents a fluctuation threshold;
The method is equivalent to the process of identifying the equipment operation parameter item regulated and controlled by the main war control system transmitting each control instruction, and if the value fluctuation of the corresponding parameter value on the equipment operation parameter item before and after the controllable equipment executes a certain control instruction is larger, the greater the possibility that the main war control system transmits the certain control instruction to carry out parameter value regulation on the equipment operation parameter item of the controllable equipment is.
Preferably, the abnormal adjustment judgment and identification module includes a reference interval duration carding unit:
The method comprises the steps of respectively sequencing all target control instructions corresponding to each equipment operation parameter item of the controllable adjusting equipment according to time sequence to obtain a target control instruction sequence corresponding to each equipment operation parameter item;
The method comprises the steps of sequentially extracting interval duration between two adjacent target control instructions from each target control instruction sequence, obtaining average interval duration corresponding to each target control instruction sequence, and setting the average interval duration as reference interval duration of equipment operation parameter items corresponding to each target control instruction sequence.
Preferably, the abnormal adjustment judgment and identification module includes a target control instruction carding unit:
Each control instruction sent to the controllable regulating device in the preset control mode is collected in real time, and the device operation parameter item regulated and controlled by the target response of each control instruction is identified;
the method comprises the steps of sequencing all target control instructions corresponding to each equipment operation parameter item of controllable adjusting equipment in a time sequence during execution of a plan control mode to obtain a target control instruction sequence corresponding to each equipment operation parameter item of the controllable adjusting equipment in the execution of the plan control mode; the method for identifying the equipment operation parameter item regulated and controlled by the target response of each control instruction is identical to the method used in the step S4-2.
Preferably, the abnormality adjustment determination and identification module includes an abnormality determination and identification unit:
The method comprises the steps that a certain equipment operation parameter item F of controllable and adjustable equipment is set, a target control instruction sequence corresponding to the equipment operation parameter item F in the process of executing a plan control mode is D, and a reference interval duration corresponding to the equipment operation parameter item F is Tr; in D, sequentially extracting interval duration between two adjacent target control instructions, and when interval duration T (a, B) between two adjacent target control instructions A, B satisfies T (a, B) < Tr, respectively obtaining an operation parameter fluctuation value X (F) A generated by an operation parameter item F based on the target control instruction a and an operation parameter fluctuation value X (F) B generated based on the target control instruction B;
When X (F) A≥X(F)B is used for capturing a corresponding time stamp Te when a target control instruction B is sent to the controllable regulating equipment in the process of executing the preset control mode, judging that an abnormal regulation record is generated for a certain equipment operation parameter item F in the time stamp Te in the process of executing the preset control mode, and setting a parameter value positioned on the certain equipment operation parameter item F at the moment Te-t 0 as a characteristic parameter value corresponding to the abnormal regulation record; that is, the time stamp Te is the record generation time corresponding to the abnormal adjustment record.
Preferably, the control management early warning module includes a linear function construction management unit:
The abnormal adjustment records generated for the operation parameter items of each device in the process of executing the plan control mode are acquired in time sequence respectively; when the total number M of the abnormal regulation records acquired for the operation parameter item of a certain device is more than or equal to alpha, wherein alpha represents a number threshold value, extracting a characteristic parameter value a corresponding to each abnormal regulation record and the interval record generation time b between each abnormal regulation record and the next abnormal regulation record from the operation parameter item of the certain device in sequence, and constructing M-1 data sets (a, b) corresponding to the operation parameter item of the certain device;
The linear function relation S is used for respectively carrying out linear fitting on M-1 data sets (a, b) to construct and obtain the interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when abnormal regulation record of a certain equipment operation parameter item appears: b=kxa+q; where K is the slope and Q is a constant.
Preferably, the control management early-warning module comprises a feedback early-warning prompt management unit:
The method comprises the steps of acquiring a linear function relation corresponding to each equipment operation parameter item, acquiring record generation time T (M) of an M-th abnormal regulation record of each equipment operation parameter item, inputting characteristic parameter values of the M-th abnormal regulation record of each equipment operation parameter item into the corresponding linear function relation, outputting interval record generation time T d between the M+1-th abnormal regulation record of each equipment operation parameter item and T (M), and respectively predicting record generation time T (M+1) +t d of the M+1-th abnormal regulation record of each equipment operation parameter item;
If the total number of the equipment operation parameter items of the controllable and adjustable equipment is N, and the record generation time of all the abnormal adjustment records which are generated immediately and correspond to the equipment operation parameter items is obtained and met in the record generation time based on the linear function relation corresponding to the equipment operation parameter items, when the abnormal adjustment records of m equipment operation parameter items are stored in a certain unit period at the same time, m/N > ψ is a duty ratio threshold value, early warning is given to a manager, and intervention manual control is prompted before the beginning of the certain unit period;
The scheme can determine the time of the intervention manual control according to the specific time distribution condition of a certain unit period, and the process is equivalent to analyzing the situation that if the control adjustment is performed only by means of a preset control mode, the control unbalance can occur in a future time range.
Compared with the prior art, the invention has the following beneficial effects: the invention can effectively solve the problem of replacement takeover of operation control when the main station control system of the adjustable equipment has operation fault, and meanwhile, by unfolding and analyzing the operation control after replacement takeover, the invention compares the operation state of the adjustable equipment with the operation state presented by the adjustable equipment under the operation control of the main station control system, identifies abnormal regulation records generated by the adjustable equipment in the process of replacement operation control, carries out predictive analysis on the condition of when the adjustable equipment under the replacement operation control has regulation unbalance, gives early warning to a manager to prompt the time of intervention manual control, ensures the safe production of the adjustable equipment, and realizes safer, more efficient and more intelligent operation control management on the adjustable equipment.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an intelligent in-situ equipment control system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Referring to fig. 1, the present invention provides the following technical solutions: an intelligent in-situ equipment control system, the system comprising: the system comprises a first connection management module, a second connection management module, an operation control switching judgment module, a master station control system operation carding module, an abnormal adjustment judgment identification module and a control management early warning module;
The first connection management module is used for establishing communication connection between a master station control system of the controllable and adjustable equipment and the IRPS cloud server, the master station control system sends heartbeats to the IRPS cloud server at regular time, and the IRPS cloud server correspondingly generates a heartbeat feedback data message, wherein the heartbeat feedback data message comprises analysis data for the running state of the master station control system;
The second connection management module is used for establishing communication connection with a master station control system of the controllable and adjustable equipment and a IRPS cloud server, receiving a plan control mode sent by the master station control system, performing heartbeat monitoring on the master station control system at regular time and sending heartbeat to the IRPS cloud server at regular time; the scheme control mode comprises a plurality of basic control instructions capable of maintaining the controllable and adjustable equipment in a safe running state;
The operation control switching judging module is used for judging that the operation of the master station control system is abnormal when the time length threshold is exceeded and the heartbeat sent by the master station control system is not monitored, and the master station control system is analyzed from the IRPS cloud server to obtain the operation fault of the master station control system in the heartbeat feedback data message correspondingly generated by the master station control system, and executing a plan control mode to replace the master station control system to perform operation control on the controllable adjustable equipment;
The master station control system operation combing module is used for extracting historical operation control records of the master station control system, collecting all historical control instructions sent to the controllable adjusting equipment by the master station control system, judging equipment operation parameter items which are subjected to target response regulation and control by each historical control instruction according to the change condition of the operation parameters of the controllable adjusting equipment caused by each historical control instruction, and obtaining target control instruction ranges corresponding to each equipment operation parameter item;
The master station control system operation carding module comprises a parameter value sequence carding unit, a target control instruction identification unit,
The parameter value sequence carding unit is used for collecting a time stamp T of any history control instruction sent by the master station control system to the controllable adjusting equipment and setting a minimum interval duration T 0;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of controllable adjustable equipment at the time of T-T 0 to obtain a first parameter value sequence L1= { Y (r 1)、Y(r2)、...、Y(rn) } corresponding to any history control instruction; wherein Y (r 1)、Y(r2)、...、Y(rn) represents the time T-T 0, is positioned at the 1 st, the 2 nd parameter values on n plant operating parameter items r 1、r2、...、rn;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of controllable adjustable equipment at the time T+t 0 to obtain a second parameter value sequence L2= { Y (r 1)'、Y(r2)'、...、Y(rn)' } corresponding to any history control instruction; wherein Y (r 1)'、Y(r2)'、...、Y(rn)' represents the time T+t 0, is positioned at the 1 st, the 2 nd parameter values on n plant operating parameter items r 1、r2、...、rn;
For example, when the adjustable device is a circulating cooling water system, the device operation parameter items acquired for the circulating cooling water system include temperature, pressure, flow, liquid level, state quantity or opening of a butterfly valve, state quantity or opening of a regulating valve, state quantity or opening of an electric valve, and the like;
A target control instruction identifying unit, configured to set a value of an i-th device operation parameter item r i in the first parameter value sequence L1 to Y (r i), set a value of the i-th device operation parameter item r i in the second parameter value sequence L2 to Y (r i)', and determine that the arbitrary historical control instruction is a target control instruction for responding and controlling the i-th device operation parameter item r i when an operation parameter fluctuation value X (r i)=|Y(ri)'-Y(ri) | generated by the i-th device operation parameter item r i based on the arbitrary historical control instruction satisfies X (r i) > β; wherein β represents a fluctuation threshold;
The abnormal adjustment judgment and identification module is used for identifying the reference interval duration of the master station control system in the process of adjusting and controlling the operation parameter items of the controllable adjusting device based on the work flow of the controllable adjusting device according to the target control instruction range of the operation parameter items of the device; the system is used for carrying out state monitoring on each control instruction sent to the controllable regulating equipment in real time in a preset control mode, judging and identifying abnormal regulation records generated on any equipment operation parameter item in the process of executing the preset control mode;
The abnormal adjustment judging and identifying module comprises a reference interval duration combing unit, a target control instruction combing unit and an abnormal identification judging unit;
The reference interval duration carding unit is used for respectively sequencing all target control instructions corresponding to each equipment operation parameter item of the controllable adjusting equipment according to time sequence to obtain a target control instruction sequence corresponding to each equipment operation parameter item;
The method comprises the steps of sequentially extracting interval duration between two adjacent target control instructions from each target control instruction sequence, acquiring average interval duration corresponding to each target control instruction sequence, and setting the average interval duration as reference interval duration of equipment operation parameter items corresponding to each target control instruction sequence;
the target control instruction combing unit is used for collecting each control instruction sent to the controllable regulating equipment in real time in a plan control mode and identifying equipment operation parameter items regulated and controlled by target response of each control instruction;
The method comprises the steps of sequencing all target control instructions corresponding to each equipment operation parameter item of controllable adjusting equipment in a time sequence during execution of a plan control mode to obtain a target control instruction sequence corresponding to each equipment operation parameter item of the controllable adjusting equipment in the execution of the plan control mode;
The abnormality identification judging unit is used for setting a certain equipment operation parameter item F of the controllable regulating equipment, wherein a target control instruction sequence corresponding to the equipment operation parameter item F in the process of executing the plan control mode is D, and the reference interval duration corresponding to the equipment operation parameter item F is Tr; in D, sequentially extracting interval duration between two adjacent target control instructions, and when interval duration T (a, B) between two adjacent target control instructions A, B satisfies T (a, B) < Tr, respectively obtaining an operation parameter fluctuation value X (F) A generated by an operation parameter item F based on the target control instruction a and an operation parameter fluctuation value X (F) B generated based on the target control instruction B;
When X (F) A≥X(F)B is used for capturing a corresponding time stamp Te when a target control instruction B is sent to the controllable regulating equipment in the process of executing the preset control mode, judging that an abnormal regulation record is generated for a certain equipment operation parameter item F in the time stamp Te in the process of executing the preset control mode, and setting a parameter value positioned on the certain equipment operation parameter item F at the moment Te-t 0 as a characteristic parameter value corresponding to the abnormal regulation record;
The control management early warning module is used for collecting distribution conditions of abnormal regulation records corresponding to each equipment operation parameter item in the process of executing a plan control mode, constructing a linear function relation of interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when the abnormal regulation record appears for each equipment operation parameter item, combing the record generation time distribution conditions of the abnormal regulation record for all equipment operation parameter items, and early warning and prompting the intervention manual control time for a manager;
the control management early warning module comprises a linear function construction management unit and a feedback early warning prompt management unit;
The linear function construction management unit is used for acquiring abnormal regulation records generated for each equipment operation parameter item in the process of executing the plan control mode according to time sequence; when the total number M of the abnormal regulation records acquired for the operation parameter item of a certain device is more than or equal to alpha, wherein alpha represents a number threshold value, extracting a characteristic parameter value a corresponding to each abnormal regulation record and the interval record generation time b between each abnormal regulation record and the next abnormal regulation record from the operation parameter item of the certain device in sequence, and constructing M-1 data sets (a, b) corresponding to the operation parameter item of the certain device;
The linear function relation S is used for respectively carrying out linear fitting on M-1 data sets (a, b) to construct and obtain the interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when abnormal regulation record of a certain equipment operation parameter item appears: b=kxa+q; wherein K is a slope and Q is a constant;
The feedback early warning prompt management unit is used for calling a linear function relation corresponding to each equipment operation parameter item, obtaining record generation time T (M) of an Mth abnormal regulation record of each equipment operation parameter item, inputting characteristic parameter values of the Mth abnormal regulation record of each equipment operation parameter item into the corresponding linear function relation, outputting interval record generation time T d between the Mth+1th abnormal regulation record of each equipment operation parameter item and the T (M), and respectively predicting record generation time T (M+1) +t d of the Mth abnormal regulation record of each equipment operation parameter item;
If the total number of the equipment operation parameter items of the controllable and adjustable equipment is N, and the record generation time of all the abnormal adjustment records which are generated immediately and correspond to the equipment operation parameter items is obtained and met in the record generation time based on the linear function relation corresponding to the equipment operation parameter items, when the abnormal adjustment records of m equipment operation parameter items are stored in a certain unit period at the same time, m/N > ψ is a duty ratio threshold value, early warning is given to a manager, and intervention manual control is prompted before the beginning of the certain unit period;
For example, based on a linear function relation corresponding to the device operation parameter item d1, inputting the characteristic parameter value of the M-th abnormal adjustment record to obtain a record generation time of the m+1th abnormal adjustment record of 5:00, and inputting the characteristic parameter value of the m+1th abnormal adjustment record to obtain a record generation time of the m+2th abnormal adjustment record of 5:20;
Inputting characteristic parameter values of the M-th abnormal regulation record based on a linear function relation corresponding to the equipment operation parameter item d2 to obtain record generation time of the M+1-th abnormal regulation record to be 5:18;
Based on a linear function relation corresponding to the equipment operation parameter item d3, inputting characteristic parameter values of the M-th abnormal regulation record to obtain record generation time of the M+1th abnormal regulation record to be 4:30, and inputting characteristic parameter values of the M+1th abnormal regulation record to obtain record generation time of the M+2th abnormal regulation record to be 5:24;
based on a linear function relation corresponding to the equipment operation parameter item d4, inputting the characteristic parameter value of the M-th abnormal regulation record to obtain the record generation time of the M+1th abnormal regulation record to be 4:00, inputting the characteristic parameter value of the M+1th abnormal regulation record to obtain the record generation time of the M+2th abnormal regulation record to be 4:50, and inputting the characteristic parameter value of the M+2th abnormal regulation record to obtain the record generation time of the M+3th abnormal regulation record to be 5:15;
If the unit period is 10min, it can be known from the above that in the time range of 5:15-5:25, the m+3 abnormal adjustment record of the device operation parameter item d4, the m+2 abnormal adjustment record of the device operation parameter item d3, the m+1 abnormal adjustment record of the device operation parameter item d2, and the m+2 abnormal adjustment record of the device operation parameter item d1 are expected to be generated, that is, in the time range of 5:15-5:25, the abnormal adjustment records of 4 device operation parameter items, that is, m=4, and if the total number of device operation parameter items of the controllable adjustment device is n=6, M/n=4/6=2/3 > ψ=0.5, early warning is given to the manager, and the intervention of manual control before 5:15 can be prompted.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. An intelligent in-situ equipment control system, the system comprising: the system comprises a first connection management module, a second connection management module, an operation control switching judgment module, a master station control system operation carding module, an abnormal adjustment judgment identification module and a control management early warning module;
The first connection management module is configured to establish a communication connection between a master station control system of the controllable and adjustable device and a IRPS cloud server, the master station control system sends heartbeats to the IRPS cloud server at regular time, and the IRPS cloud server correspondingly generates a heartbeat feedback data packet, where the heartbeat feedback data packet includes analysis data of an operation state of the master station control system;
The second connection management module is used for establishing communication connection with a master station control system of the controllable and adjustable equipment and a IRPS cloud server, receiving a plan control mode sent by the master station control system, performing heartbeat monitoring on the master station control system at fixed time and sending heartbeat to the IRPS cloud server at fixed time; the scheme control mode comprises a plurality of basic control instructions capable of maintaining the controllable and adjustable equipment in a safe running state;
The operation control switching judging module is used for judging that the operation of the master station control system is abnormal when the heartbeat sent by the master station control system is not monitored and the operation failure of the master station control system is obtained through analysis in a heartbeat feedback data message correspondingly generated by the IRPS cloud server to the master station control system, and executing a plan control mode to replace the master station control system to perform operation control on the controllable regulating equipment;
The master station control system operation combing module is used for extracting historical operation control records of the master station control system, collecting all historical control instructions sent to the controllable adjusting equipment by the master station control system, judging equipment operation parameter items which are subjected to target response regulation and control by the historical control instructions according to the change condition of the operation parameters of the controllable adjusting equipment caused by the historical control instructions, and obtaining target control instruction ranges corresponding to the equipment operation parameter items;
The abnormal adjustment judgment and identification module is used for identifying the reference interval duration of the master station control system in the process of regulating and controlling the operation parameter items of the controllable and adjustable equipment based on the work flow of the controllable and adjustable equipment according to the target control instruction range of the operation parameter items of the equipment; the system is used for carrying out state monitoring on each control instruction sent to the controllable regulating equipment in real time in a preset control mode, judging and identifying abnormal regulation records generated on any equipment operation parameter item in the process of executing the preset control mode;
The control management early warning module is used for collecting distribution conditions of abnormal regulation records corresponding to each equipment operation parameter item in the process of executing a plan control mode, constructing a linear function relation of interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when the abnormal regulation record appears for each equipment operation parameter item, and combing the record generation time distribution conditions of the abnormal regulation record for all equipment operation parameter item prediction, and prompting time of intervention manual control to manager early warning.
2. An intelligent in-situ equipment control system according to claim 1, wherein the master station control system operates a carding module comprising a parameter value sequence carding unit:
The method comprises the steps that a time stamp T for a master station acquisition control system to send any history control instruction to controllable adjusting equipment is used for setting minimum interval duration T 0;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of controllable adjustable equipment at the time T-T 0 to obtain a first parameter value sequence L1= { Y (r 1)、Y(r2)、...、Y(rn) } corresponding to the arbitrary historical control instruction; wherein Y (r 1)、Y(r2)、...、Y(rn) represents the time T-T 0, is positioned at the 1 st, the 2nd parameter values on n plant operating parameter items r 1、r2、...、rn;
The method comprises the steps of capturing parameter values on each equipment operation parameter item of the controllable adjustable equipment at the time T+t 0 to obtain a second parameter value sequence L2= { Y (r 1)'、Y(r2)'、...、Y(rn)' } corresponding to the arbitrary historical control instruction; wherein Y (r 1)'、Y(r2)'、...、Y(rn)' represents the time T+t 0, is positioned at the 1 st, the 2 nd parameter values on n plant operating parameter items r 1、r2、...、rn.
3. An intelligent in-situ equipment control system according to claim 2, wherein the master station control system operating carding module comprises a target control instruction identification unit:
the method comprises the steps of setting a numerical value of an ith equipment operation parameter item r i in a first parameter value sequence L1 as Y (r i), setting a numerical value of a second parameter value sequence L2 as Y (r i)', and judging the arbitrary historical control instruction as a target control instruction for responding and regulating the ith equipment operation parameter item r i when an operation parameter fluctuation value X (r i)=|Y(ri)'-Y(ri) generated by the ith equipment operation parameter item r i based on the arbitrary historical control instruction is |and meets X (r i) > beta; where β represents the fluctuation threshold.
4. The intelligent in-situ equipment control system according to claim 3, wherein the abnormal adjustment judgment and identification module comprises a reference interval duration combing unit:
The method comprises the steps of respectively sequencing all target control instructions corresponding to each equipment operation parameter item of the controllable adjusting equipment according to time sequence to obtain a target control instruction sequence corresponding to each equipment operation parameter item;
The method comprises the steps of sequentially extracting interval duration between two adjacent target control instructions from each target control instruction sequence, obtaining average interval duration corresponding to each target control instruction sequence, and setting the average interval duration as reference interval duration of equipment operation parameter items corresponding to each target control instruction sequence.
5. The intelligent in-situ equipment control system according to claim 4, wherein the abnormal regulation determination module comprises a target control command grooming unit:
Each control instruction sent to the controllable regulating device in the preset control mode is collected in real time, and the device operation parameter item regulated and controlled by the target response of each control instruction is identified;
And the device is used for sequencing all the target control instructions corresponding to each device operation parameter item of the controllable and adjustable device in time sequence in the process of executing the plan control mode to obtain a target control instruction sequence corresponding to each device operation parameter item of the controllable and adjustable device in the process of executing the plan control mode.
6. The intelligent in-situ equipment control system according to claim 5, wherein the abnormality adjustment determination and identification module includes an abnormality determination unit:
The method comprises the steps that a certain equipment operation parameter item F of controllable and adjustable equipment is set, a target control instruction sequence corresponding to the equipment operation parameter item F in the process of executing a plan control mode is D, and a reference interval duration corresponding to the equipment operation parameter item F is Tr; in D, sequentially extracting interval duration between two adjacent target control instructions, and when interval duration T (a, B) between two adjacent target control instructions A, B satisfies T (a, B) < Tr, respectively obtaining an operation parameter fluctuation value X (F) A generated by an operation parameter item F based on the target control instruction a and an operation parameter fluctuation value X (F) B generated based on the target control instruction B;
When X (F) A≥X(F)B is used, capturing a corresponding time stamp Te when a target control instruction B is sent to the controllable regulating equipment in the process of executing the preset control mode, judging that an abnormal regulation record is generated for a certain equipment operation parameter item F in the time stamp Te in the process of executing the preset control mode, and setting a parameter value positioned on the certain equipment operation parameter item F at the moment Te-t 0 as a characteristic parameter value corresponding to the abnormal regulation record.
7. The intelligent in-situ equipment control system of claim 6, wherein the control management pre-warning module comprises a linear function construction management unit:
The abnormal adjustment records generated for the operation parameter items of each device in the process of executing the plan control mode are acquired in time sequence respectively; when the total number M of the abnormal regulation records acquired for the operation parameter item of a certain device is more than or equal to alpha, wherein alpha represents a number threshold value, extracting a characteristic parameter value a corresponding to each abnormal regulation record for the operation parameter item of the certain device and the interval record generation time b between each abnormal regulation record and the next abnormal regulation record in sequence, and constructing M-1 data sets (a, b) corresponding to the operation parameter item of the certain device;
And the linear function relation S is used for respectively carrying out linear fitting on the M-1 data sets (a, b) to construct and obtain the interval record generation time between corresponding characteristic parameter values and the next abnormal regulation record when abnormal regulation record of a certain equipment operation parameter item appears: b=kxa+q; where K is the slope and Q is a constant.
8. The intelligent in-situ equipment control system of claim 7, wherein the control management early warning module comprises a feedback early warning prompt management unit:
The method comprises the steps of acquiring a linear function relation corresponding to each equipment operation parameter item, acquiring record generation time T (M) of an M-th abnormal regulation record of each equipment operation parameter item, inputting characteristic parameter values of the M-th abnormal regulation record of each equipment operation parameter item into the corresponding linear function relation, outputting interval record generation time T d between the M+1-th abnormal regulation record of each equipment operation parameter item and T (M), and respectively predicting record generation time T (M+1) +t d of the M+1-th abnormal regulation record of each equipment operation parameter item;
And if the total number of the equipment operation parameter items of the controllable and adjustable equipment is N, and the record generation time of all the abnormal adjustment records which are generated immediately and correspond to the equipment operation parameter items is met in the record generation time based on the linear function relation corresponding to the equipment operation parameter items, and m/N > ψ is stored in a certain unit period at the same time, wherein ψ is a duty ratio threshold value, early warning is given to a manager, and manual intervention control is prompted before a certain unit period starts.
CN202410346827.1A 2024-03-26 Intelligent on-site equipment control system Active CN117950364B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410346827.1A CN117950364B (en) 2024-03-26 Intelligent on-site equipment control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410346827.1A CN117950364B (en) 2024-03-26 Intelligent on-site equipment control system

Publications (2)

Publication Number Publication Date
CN117950364A true CN117950364A (en) 2024-04-30
CN117950364B CN117950364B (en) 2024-05-31

Family

ID=

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020172913A1 (en) * 2019-02-28 2020-09-03 东北大学 Production index visual monitoring system and method based on configuration
CN116453247A (en) * 2023-06-13 2023-07-18 三峡高科信息技术有限责任公司 Intelligent lock control system based on Internet of things technology
US20230395253A1 (en) * 2018-05-16 2023-12-07 Shanghai Svm Medical Technology Co., Ltd. Cloud-edge collaborative processing system and method for icu data based on third-party business
CN117217740A (en) * 2023-11-09 2023-12-12 江苏德琛常工新能源科技创新有限公司 Hydrogen energy equipment fault data transmission system and method based on artificial intelligence
CN117687884A (en) * 2023-12-18 2024-03-12 北京科东电力控制系统有限责任公司 Intelligent optimization method and system for operation and maintenance operation ticket of power grid dispatching automation master station

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230395253A1 (en) * 2018-05-16 2023-12-07 Shanghai Svm Medical Technology Co., Ltd. Cloud-edge collaborative processing system and method for icu data based on third-party business
WO2020172913A1 (en) * 2019-02-28 2020-09-03 东北大学 Production index visual monitoring system and method based on configuration
CN116453247A (en) * 2023-06-13 2023-07-18 三峡高科信息技术有限责任公司 Intelligent lock control system based on Internet of things technology
CN117217740A (en) * 2023-11-09 2023-12-12 江苏德琛常工新能源科技创新有限公司 Hydrogen energy equipment fault data transmission system and method based on artificial intelligence
CN117687884A (en) * 2023-12-18 2024-03-12 北京科东电力控制系统有限责任公司 Intelligent optimization method and system for operation and maintenance operation ticket of power grid dispatching automation master station

Similar Documents

Publication Publication Date Title
CN111047082B (en) Early warning method and device of equipment, storage medium and electronic device
CN1991652B (en) Automatic remote monitoring and diagnostics system and communication method for communicating between a programmable logic controller and a central unit
EP1543394B1 (en) Method and device for monitoring a technical installation comprising several systems, in particular an electric power station
JP6796373B2 (en) Plant operation system and plant operation method
EP3299918A1 (en) Abnormality diagnosis system and abnormality diagnosis method
DE102016015332A1 (en) A preventive maintenance management system and method for creating a maintenance plan of a machine and cell controller
CN113708493A (en) Cloud edge cooperation-based power distribution terminal operation and maintenance method and device and computer equipment
CN111541474A (en) Health management system based on satellite mobile communication system ground gateway station
CN113962439A (en) Cloud platform data management system based on industrial big data and construction method thereof
KR20200084401A (en) Air Compressor Bidirectional Fault Diagnosis and Remote Control System Utilizing Big Data
CN116414096A (en) Intelligent chemical plant production management and control system
CN117950364B (en) Intelligent on-site equipment control system
CN116227754B (en) Production self-adaptive optimization control method and system for rubber gloves
CN110324408A (en) The acquisition of cloud layer data and Data Analysis Software system
CN117950364A (en) Intelligent on-site equipment control system
KR102512577B1 (en) System and method for predicting abnormal state of facilities in a building through energy consumption analysis
KR102519474B1 (en) System and method for predicting abnormal state of facilities in a building through facilities operation state analysis
CN116362561A (en) Centralized control station operation auxiliary decision-making method based on big data
KR102411915B1 (en) System and method for froviding real time monitering and ai diagnosing abnormality sign for facilities and equipments
CN117578742B (en) Intelligent power dispatching system safety monitoring method and system
CN116957543B (en) Intelligent gas equipment management method based on big data and Internet of things system
CN116911807B (en) Intelligent gas data center flow visual management method and Internet of things system
KR20050060792A (en) Complex building control system
CN117495357B (en) Electric power data supervision system and method based on big data
US20220187800A1 (en) Method and system for managing reports of an automation system, more particularly an industrial plant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
GR01 Patent grant