CN117008529A - Distributed hydropower station control system based on Internet of things - Google Patents

Distributed hydropower station control system based on Internet of things Download PDF

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Publication number
CN117008529A
CN117008529A CN202310987056.XA CN202310987056A CN117008529A CN 117008529 A CN117008529 A CN 117008529A CN 202310987056 A CN202310987056 A CN 202310987056A CN 117008529 A CN117008529 A CN 117008529A
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data
hydropower station
temperature
water
module
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王恩重
靳帅
李天晨
张大伟
刘小恒
陶金
李京辉
陈林
王文吉
莫宇
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Guoneng Qinghai Yellow River Mardang Hydropower Development Co ltd
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Guoneng Qinghai Yellow River Mardang Hydropower Development Co ltd
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Priority to CN202310987056.XA priority Critical patent/CN117008529A/en
Publication of CN117008529A publication Critical patent/CN117008529A/en
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    • 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
    • G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
    • G05B19/054—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
    • G05B2219/10—Plc systems
    • G05B2219/11—Plc I-O input output
    • G05B2219/1103—Special, intelligent I-O processor, also plc can only access via processor

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The invention discloses a distributed hydropower station control system based on the Internet of things, which relates to the technical field of the Internet of things and comprises a monitoring center, wherein the monitoring center is in communication connection with a data acquisition module, a data verification module, a data processing module, a data analysis module and a control module; the method comprises the steps of realizing data acquisition and transmission through the Internet of things, processing and analyzing the acquired hydropower station environment data, judging the running state of the hydropower station, controlling the running of a hydropower station water pump according to the running state of the hydropower station, realizing comprehensive remote Internet of things management of the hydropower station, and realizing the intellectualization of hydropower station management; the invention realizes interconnection and intercommunication, automatic operation and information sharing among all devices of the hydropower station, and provides powerful support for stable operation and optimal management of the distributed hydropower station.

Description

Distributed hydropower station control system based on Internet of things
Technical Field
The invention relates to the field of Internet of things technology, power equipment and computer automatic control, in particular to a distributed hydropower station control system based on the Internet of things.
Background
Along with the rapid development of the network information age, the development trend of the Internet of things is faster and faster, and especially the demands of various fields in recent years are vigorous, and the application scene is very wide, including but not limited to the fields of intelligent transportation, intelligent home, intelligent campus and the like;
in the prior art, a control system of a hydropower station generally adopts a (programmable logic controller, PLC) device to perform data collection and control, and the control mode has some defects, such as that the traditional PLC device generally does not have the capability of directly connecting with the internet of things or processing large-scale data, which may limit the implementation of real-time monitoring, remote operation and data analysis functions, which is a problem that needs to be solved, so that a distributed hydropower station control system based on the internet of things is needed.
Disclosure of Invention
The invention aims to provide a distributed hydropower station control system based on the Internet of things.
The aim of the invention can be achieved by the following technical scheme: the distributed hydropower station control system based on the hydropower station of the Internet of things comprises a monitoring center, wherein the monitoring center is in communication connection with a data acquisition module, a data verification module, a data processing module, a data analysis module and a control module;
the data acquisition module is used for acquiring environmental data of the hydropower station and position information of the data acquisition module, and packaging the environmental data and the position information of the data acquisition module to generate an original data packet;
the data verification module is used for carrying out source verification on the received original data packet;
the data processing module is used for processing the verified original data packet and generating a monitoring data packet;
the data analysis module is used for carrying out live analysis on the monitoring data packet generated by the data processing module;
the control module is used for controlling the operation of the hydropower station water pump according to control instructions, and the control instructions comprise a water injection instruction, a water discharge instruction and a temperature regulation instruction.
Further, the process of acquiring hydropower station environment data and position information of the data acquisition module by the data acquisition module comprises the following steps:
the data acquisition module consists of a plurality of internet of things terminals with different functions, and comprises a water level data acquisition terminal and a temperature data acquisition terminal which are respectively used for acquiring corresponding hydropower station environment data, wherein the hydropower station environment data comprises water level data and temperature data; and (3) position marking is carried out on the data acquisition module, the hydropower station environment data and the position information are packaged, a corresponding original data packet is generated, the original data packet is transmitted to the data verification module, and meanwhile, the data is backed up by the monitoring center.
Further, the process of the data verification module for performing source verification on the received original data packet includes:
reading position information in an original data packet, marking the read position information and corresponding position coordinates, comparing the position information with position information in the original data packet backed up in a monitoring center, obtaining a comparison result, obtaining a deviation value of the position information according to the comparison result, comparing the obtained position information deviation value with a deviation threshold range, and if the obtained position information deviation value is in the deviation threshold range, indicating that the source of the received original data packet is reliable, and verifying to pass;
if the obtained position information deviation value exceeds the deviation threshold range, the hidden danger exists in the source of the received original data packet, and the data verification unit performs deletion interception on the original data packet.
Further, the process of processing the verified original data packet by the data processing module and generating the monitoring data packet includes:
the data processing module comprises abnormal data processing, outlier processing and weight grading;
the abnormal data processing is used for correcting error data in an original data packet, and the specific process comprises the following steps:
comparing the hydropower station environment data in the received original data packet with hydropower station environment data in the corresponding backup original data packet, and if the data comparison result is correct, indicating that the data is normal, and reserving the data; if the data comparison result is wrong, determining the position of the wrong data according to the comparison result, selecting hydropower station environment data at a corresponding position from the backed up original data, copying the hydropower station environment data to a target position to correct the wrong data part of the hydropower station environment data in the original data packet, feeding back the completion information to a monitoring center after the hydropower station environment data is cleaned, and deleting the backed up corresponding original data packet after the monitoring center receives the feedback;
the outlier processing is used for deleting the abnormal value in the original data packet, and the specific process comprises the following steps:
respectively acquiring the median of water level data and temperature data in hydropower station environment data, respectively and calculating the absolute value of the difference between each data and the median, and arranging the absolute values in sequence to obtain the median of the absolute values, namely the median of the absolute differences;
and setting a threshold meeting the requirements of the actual water level and the temperature according to the median of the absolute deviation, and if the absolute value of the difference between the data and the median exceeds the threshold, judging the data as an outlier and deleting the outlier.
Furthermore, weight grades are set for hydropower station environment data in the monitoring data packet, and the weight grades of the water level data and the temperature data are respectively marked as G1 and G2, wherein the weight grades G1 is more than G2.
Further, the process of the data analysis module for live analysis of the monitoring data packet includes:
the data analysis module comprises a water level data analysis unit and a temperature data analysis unit;
the analysis process of the water level data analysis unit comprises the following steps: comparing the water level data in the monitoring data packet with corresponding water level data of the same type of hydropower stations in normal operation, generating a corresponding data comparison table, and obtaining a data deviation value so as to judge whether the difference value between the monitoring data packet and the corresponding water level data of the same type of hydropower stations in normal operation exceeds a preset range;
if the data deviation value is lower than the preset range, the reservoir water level of the hydropower station is insufficient to meet the normal level of the hydropower station, the data analysis module feeds the reservoir water level back to the monitoring center, the visual yellow lamp flashes and alarms, after receiving the feedback, the monitoring center calculates the required water injection height based on the data comparison table, sets the set time and issues a water injection instruction to the control module;
if the data deviation value is in the preset range, the hydropower station is at the normal running level at present;
if the data deviation value exceeds the preset range, the water level of the reservoir of the hydropower station exceeds the normal level meeting the operation of the hydropower station, the data analysis module feeds the water level back to the monitoring center and performs visual red light flickering alarm, and after receiving the feedback, the monitoring center calculates the required water discharge height based on the data comparison table, sets the set time and issues a water instruction to the control module.
Further, the weight classification is used for determining whether the temperature data analysis unit in the data analysis module executes, and includes:
if the monitoring center monitors that the water level data analysis unit issues a control instruction, skipping over the temperature data analysis unit and directly entering the control module; if the monitoring center monitors that the analysis process of the water level data analysis unit is normal and no control instruction is sent, the water level data analysis unit enters the temperature data analysis unit to perform temperature analysis.
Further, the analysis process of the temperature data analysis unit includes:
making the temperature data set into a visual chart so as to facilitate temperature trend analysis;
acquiring an average value of the temperature data set, and setting a deviation threshold range;
if the average temperature value is lower than the deviation threshold range, indicating that the current temperature of the reservoir is lower than the normal temperature level of the reservoir when the hydropower station operates, feeding the reservoir back to a monitoring center for visual alarm, and acquiring a target temperature difference between the average temperature value of the temperature data set and the deviation threshold range; determining a temperature target to be regulated based on the target temperature difference, formulating a temperature rise regulation strategy, and issuing a temperature regulation instruction U to a control module;
when the average value is within the deviation threshold value range, the hydropower station is indicated to be at a normal operation level;
when the average value exceeds the deviation threshold range, indicating that the current temperature of the reservoir is higher than the normal temperature level of the reservoir when the hydropower station operates, feeding the reservoir back to a monitoring center for visual alarm, and acquiring a target temperature difference between the average value of the temperature data set and the deviation threshold range; determining a temperature target to be regulated based on the target temperature difference, formulating a cooling regulation strategy, and issuing a temperature regulation instruction O to a control module;
the regulation and control process of the temperature regulation and control instruction is carried out on the premise that the water level of the reservoir keeps the normal running level.
Further, the process of controlling the operation of the hydropower station water pump by the control module according to the control instruction comprises the following steps:
when the control module receives a water injection command, starting the water pump to inject water until reaching the water level height required by the water injection command, and if the monitoring center monitors that the hydropower station cannot complete water injection within a specified time, starting the standby water pump until reaching the water level height required by the water injection command, and stopping the operation of the water pump by the control module;
when the control module receives a water discharge instruction, starting the water pump to discharge water until the water level required by the water discharge instruction is reached, and if the monitoring center monitors that the hydropower station cannot discharge water within a specified time, starting the standby water pump until the water level reaches the required water level, and stopping the operation of the water pump by the control module;
when the control module receives the temperature regulation and control instruction U, the water pump is started to perform water injection and water discharge until the reservoir temperature reaches the requirement of the temperature rise regulation and control strategy, and the control module stops the operation of the water pump;
when the control module receives the temperature regulation and control instruction O, the water pump is started to perform water injection and water discharge until the reservoir temperature reaches the requirement of the cooling regulation and control strategy, and the control module stops the operation of the water pump.
Compared with the prior art, the invention has the beneficial effects that: through utilizing a plurality of thing networking terminals to carry out real-time collection to the operation data of power station, the staff can acquire the real-time operation data of power station at any time, according to carrying out deep processing and analysis to real-time data, can obtain the problem that appears about power station operation process reservoir, thereby realize the intelligent regulation and control of power station reservoir water level, realize utilizing thing networking technology, computer automatic control technique to the intellectuality of power station control, the high efficiency, the operating efficiency of power station has been greatly improved, the reliability, and this system is through the monitoring and the analysis to power station environmental data, can provide the scientific basis of environmental protection and energy utilization.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, the distributed hydropower station control system based on the internet of things comprises a monitoring center, wherein the monitoring center is in communication connection with a data acquisition module, a data verification module, a data processing module, a data analysis module and a control module;
the process that the data acquisition module is used for obtaining the position information of the hydropower station environment data acquisition module and packaging the position information to generate an original data packet comprises the following steps:
the data acquisition module consists of a plurality of internet of things terminals with different functions, wherein the internet of things terminals comprise water level data acquisition terminals and temperature data acquisition terminals which are respectively used for acquiring environment data of corresponding hydropower stations, and the hydropower station environment data comprise water level data and temperature data;
the data acquisition modules are distributed and arranged in a reservoir according to requirements, and each arranged data acquisition module is marked with i, wherein i=1, 2, … …, n and n are integers;
marking the position set by each data acquisition module to generate corresponding position coordinates, and marking the corresponding position coordinates as (x) i ，y i ，z i )；
The hydropower station environment data and the position information of the corresponding positions are acquired in real time through the data acquisition modules arranged at all positions in the reservoir, and the position coordinates of the positions of the data acquisition modules are recorded as (x, y, z) i ；
And packaging the obtained hydropower station environment data and the position information to generate a corresponding original data packet, transmitting the generated original data packet to a data verification module, and synchronizing the original data packet to a monitoring center for data backup.
The process of the data verification module for performing source verification on the received original data packet comprises the following steps:
reading position information in an original data packet, marking position coordinates corresponding to the read position information, comparing the position coordinates with position coordinates in a monitoring center to obtain a comparison result, obtaining a position information deviation value according to the comparison result, and marking the position information deviation value as WP i ；
Wherein the method comprises the steps of
Setting the deviation threshold range (0, WP max )；
If WP is 0.ltoreq.WP i ≤WP max The method comprises the steps of carrying out a first treatment on the surface of the The received data packet is reliably sourced and validated;
if WP i ＞WP max， Indicating that the source of the received original data packet is presentAnd if the hidden danger exists, the data verification unit can delete and intercept the original data packet so as to ensure the reliability of the data source.
The process of the data processing module for processing the verified original data packet comprises the following steps:
the data processing module comprises abnormal data processing, outlier processing and weight grading;
it should be further noted that, in the implementation process, the process of removing the error data in the original data packet by the abnormal data processing includes:
comparing the hydropower station environment data in the original data packet with hydropower station environment data in the corresponding original data packet backed up by the monitoring center, and if the data comparison result is correct, indicating that the hydropower station environment data is normal, and reserving the hydropower station environment data; if the data comparison result is wrong, determining the position of the wrong data according to the comparison result, selecting hydropower station environment data at a corresponding position from the backup original data packet, copying the hydropower station environment data to a target position so as to correct the wrong data in the hydropower station environment data in the original data packet, feeding back the completion information to a monitoring center after the abnormal data processing process is completed, and deleting the backed up corresponding original data packet after the monitoring center receives the feedback;
respectively numbering water level data and temperature data in the data packet, and marking the water level data and the temperature data as a and b, wherein a and b=1, 2, … … and j; j is an integer, then the water level dataset is X a ＝(X 1 ，X 2 ……，X j ) Temperature dataset X b ＝(X 1 ，X 2 ，……，X j ) Monitoring data packet X m ＝(X a ，X b )；
It should be further noted that, in the implementation process, the process of the outlier processing for deleting the outlier in the data packet includes:
respectively acquiring water level data sets X in hydropower station environment data a Temperature dataset X b And calculates the absolute value of the difference between each data and the median, and uses the calculated absolute value as followsSequentially arranging to obtain the corresponding median of the absolute value, namely the absolute deviation median;
wherein the absolute deviation median MAD:
MAD＝median(X m -median(X m ))；
setting a threshold meeting the actual water level and temperature requirements according to the MAD respectively, and if the absolute value of the difference between the data and the median exceeds the threshold, judging the data as an outlier and deleting the outlier;
integrating the hydropower station environment data subjected to data processing to generate a new monitoring data packet, and storing the monitoring data packet in a monitoring center;
setting weight grades for hydropower station environment data in the monitoring data packet, and respectively marking the weight grades of water level data and temperature data as G 1 、G 2 Wherein the weights are graded G 1 ＞G 2 。
The data analysis module is used for carrying out live analysis on the monitoring data packet and issuing a corresponding control instruction according to the live analysis, and the process comprises the following steps:
the data analysis module comprises a water level data analysis unit and a temperature data analysis unit;
it should be further noted that, in the implementation process, the analysis process of the water level data analysis unit includes:
comparing the water level data set in the monitoring data packet with the corresponding water level data set of the same type hydropower station in normal operation to generate a corresponding data comparison table, and obtaining a data deviation value H so as to judge whether the difference value between the monitoring data packet and the contemporaneous history record exceeds a preset range or not;
wherein the method comprises the steps of
Setting a preset range (H1, H2);
if H < H1, the reservoir water level of the hydropower station is insufficient to meet the normal level of the hydropower station, the data analysis module feeds back the reservoir water level to the monitoring center and performs visual yellow lamp flickering alarm, the monitoring center calculates the required water injection height Z based on the data comparison table after receiving the feedback, the set time t1 is set, and the water level data analysis unit issues a water injection instruction to the control module;
if H1 is not less than H and not more than H2, the hydropower station is at the normal running level at present;
if H is more than H2, the reservoir water level of the hydropower station exceeds the normal level meeting the operation of the hydropower station, the data analysis module feeds back the reservoir water level to the monitoring center and performs visual red light flickering alarm, the monitoring center calculates the required water discharge height C based on the data comparison table after receiving the feedback, the set time t2 is set, and a water level data analysis unit issues a water command to the control module;
the weight grading is used for determining whether the temperature data analysis unit in the data analysis module is executed or not, and comprises the following steps:
if the monitoring center monitors that the water level data analysis unit issues a control instruction, skipping over the temperature data analysis unit and directly entering the control module; if the monitoring center monitors that the analysis process of the water level data analysis unit is normal and no control instruction is sent, the water level data analysis unit enters a temperature data analysis unit to perform temperature analysis;
it should be further noted that, in the implementation process, the analysis process of the temperature analysis unit includes:
making the temperature data set into a visual chart so as to facilitate temperature trend analysis;
obtaining an average value WD of the temperature data set, setting a deviation threshold range (WD 1 ,WD 2 )；
Wherein the method comprises the steps of
If WD < WD 1 The method comprises the steps that when the current temperature of a reservoir is lower than the normal temperature level of the reservoir in the operation process of a hydropower station, a data analysis module feeds the current temperature of the reservoir back to a monitoring center for visual alarm, and a target temperature difference between an average value of a temperature data set and a deviation threshold value range is obtained; determining a desired adjustment based on a target temperature differenceA temperature target is controlled, a temperature rise regulation strategy is formulated, a temperature regulation instruction U is issued to a control module,
when WD 1 ≤WD≤WD 2 Indicating that the hydropower station is at a normal operation level;
when WD > WD 2 The method comprises the steps that when the current temperature of a reservoir is higher than the normal temperature level of the reservoir in the operation process of a hydropower station, a data analysis module feeds the current temperature of the reservoir back to a monitoring center for visual alarm, and a target temperature difference between an average value of a temperature data set and a deviation threshold value range is obtained; determining a temperature target to be regulated based on the target temperature difference, formulating a cooling regulation strategy, and issuing a temperature regulation instruction O to a control module;
it should be further noted that, in the specific implementation process, the regulation and control process of the temperature regulation and control command is performed on the premise that the reservoir water level is kept at the normal operation level.
The control module is used for regulating and controlling the operation of the hydropower station water pump according to the control instruction and realizing intelligent regulation and control of the hydropower station;
it should be further noted that, in the specific implementation process, the control instruction includes a water injection instruction, a water discharge instruction and a temperature regulation instruction;
it should be further noted that, in the implementation process, the specific process of intelligent regulation includes:
when the control module receives a water injection instruction, starting a water pump to inject water until reaching a water level height Z required by the water injection instruction, and if a monitoring center monitors that the hydropower station cannot finish water injection within a specified time t1, starting a standby water pump until reaching the water level Z, and stopping the water pump by the control module;
when the control module receives a water discharge instruction, starting a water pump to discharge water until reaching a water level height C required by the water discharge instruction, and if a monitoring center monitors that the hydropower station cannot discharge water within a specified time t2, starting a standby water pump until reaching a water discharge height Z, and stopping the water pump by the control module;
when the control module receives the temperature regulation and control instruction U, the synchronous water pump is started to perform water injection and water discharge until the reservoir temperature reaches the requirement of the temperature rise regulation and control strategy, and the control module stops the operation of the water pump;
when the control module receives the temperature regulation and control instruction O, the water pump is started to synchronously perform water injection and water discharge until the reservoir temperature reaches the requirement of the cooling regulation and control strategy, and the control module stops the operation of the water pump.
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. The distributed hydropower station control system based on the Internet of things comprises a monitoring center, and is characterized in that the monitoring center is in communication connection with a data acquisition module, a data verification module, a data processing module, a data analysis module and a control module;
the data acquisition module is used for acquiring environmental data of the hydropower station and position information of the data acquisition module, and packaging the environmental data and the position information of the data acquisition module to generate an original data packet;
the data verification module is used for carrying out source verification on the received original data packet;
the data processing module is used for processing the verified original data packet, generating a monitoring data packet, and synchronizing the monitoring data packet to the monitoring center for data backup;
the data analysis module is used for carrying out live analysis on the monitoring data packet generated by the data processing module and generating a corresponding control instruction according to an analysis result;
the control module is used for controlling the operation of the hydropower station water pump according to the control instruction.
2. The distributed hydropower station control system based on the internet of things according to claim 1, wherein the process of acquiring hydropower station environment data by the data acquisition module comprises the following steps:
the data acquisition module consists of a plurality of internet of things terminals with different functions, and comprises a water pressure data acquisition terminal, a water level data acquisition terminal and a temperature data acquisition terminal, which are respectively used for acquiring corresponding hydropower station environment data, wherein the hydropower station environment data comprises water pressure data, water level data and temperature data; marking the position of the data acquisition module to generate corresponding position information, packaging hydropower station environment data and the position information to generate a corresponding original data packet, and synchronizing the original data packet to a monitoring center for data backup.
3. The distributed hydropower station control system based on the internet of things according to claim 2, wherein the process of verifying the source of the original data packet by the data verification module comprises:
reading position information in an original data packet, marking corresponding position coordinates in the read position information, comparing the position information with position information in an original data packet backed up in a monitoring center, obtaining a comparison result, obtaining a deviation value of the position information according to the comparison result, comparing the obtained position information deviation value with a deviation threshold range, and if the obtained position information deviation value is in the deviation threshold range, indicating that the source of the received original data packet is reliable, and verifying to pass;
if the obtained position information deviation value exceeds the deviation threshold range, the hidden danger exists in the source of the received data packet, and the data verification unit deletes and intercepts the original data packet.
4. A distributed hydropower station control system based on the internet of things according to claim 3, wherein the process of processing the verified original data packet by the data processing module includes:
comparing the hydropower station environment data in the received original data packet with hydropower station environment data in the corresponding backup original data packet, and if the data comparison result is correct, indicating that the data is normal, and reserving the data; if the data comparison result is wrong, determining the position of the wrong data according to the comparison result, selecting hydropower station environment data at a corresponding position from the backed up original data, copying the hydropower station environment data to a target position to correct the wrong data part of the hydropower station environment in the original data packet, feeding back the completion information to a monitoring center after the hydropower station environment data is cleaned, and deleting the backed up corresponding original data packet after the monitoring center receives the feedback;
respectively acquiring the median of water level data and temperature data in hydropower station environment data, respectively and calculating the absolute value of the difference between each data and the median, and arranging the absolute values in sequence to obtain the median of the absolute values, namely the median of the absolute differences;
and setting a threshold value meeting the requirements of the actual water level and the temperature according to the median of the absolute deviation, judging the data as an outlier if the absolute value of the difference between the data and the median exceeds the threshold value, deleting the outlier, packaging the processed data, and generating a monitoring data packet.
5. The system of claim 4, wherein the weight classifications are set for the hydropower station environmental data in the monitoring data packet, and the weight classifications of the water level data and the temperature data are respectively marked as G 1 、G 2 Wherein the weights are graded G 1 ＞G 2 。
6. The distributed hydropower station control system based on the internet of things according to claim 5, wherein the process of live analysis of the water level data in the monitoring data packet by the data analysis module comprises:
comparing the water level data in the monitoring data packet with corresponding water level data in the same hydropower station when the same hydropower station normally operates, generating a corresponding data comparison table, and obtaining a data deviation value so as to judge whether the difference value between the monitoring data packet and the contemporaneous historical record exceeds a preset range or not;
if the data deviation value is lower than the preset range, the reservoir water level of the hydropower station is insufficient to meet the normal level of the hydropower station, the data analysis module feeds the reservoir water level back to the monitoring center, the visual yellow lamp flashes and alarms, after receiving the feedback, the monitoring center calculates the required water injection height based on the data comparison table, sets the set time and issues a water injection instruction to the control module;
if the data deviation value is in the preset range, the hydropower station is at the normal running level at present;
if the data deviation value exceeds the preset range, the reservoir water level of the hydropower station exceeds the normal level meeting the operation of the hydropower station, the data analysis module feeds the reservoir water level back to the monitoring center and performs visual red light flickering alarm, and after receiving the feedback, the monitoring center calculates the required water discharge height based on the data comparison table, sets the set time and issues a water command to the control module.
7. The control system of a distributed hydropower station based on the internet of things according to claim 6, wherein the weight classification is used for deciding whether the temperature data analysis of the data analysis module is executed or not, and includes:
if the monitoring center monitors that the water level data analysis is completed by the data analysis module and issues a control instruction, skipping a temperature data analysis process and directly entering the control module; if the monitoring center monitors that the water level data analysis process is finished by the data analysis module and no control instruction is sent, the temperature data analysis process is entered.
8. The distributed hydropower station control system based on the internet of things according to claim 7, wherein the process of live analysis of the temperature data in the monitoring data packet by the data analysis module comprises:
making the temperature data set into a visual chart;
acquiring an average value of the temperature data set, and setting a deviation threshold range;
if the average temperature value is lower than the deviation threshold range, indicating that the current temperature of the reservoir is lower than the normal temperature level of the reservoir when the hydropower station operates, feeding the reservoir back to a monitoring center for visual alarm, and acquiring a target temperature difference between the average temperature value of the temperature data set and the deviation threshold range; determining a temperature target to be regulated based on the target temperature difference, formulating a temperature rise regulation strategy, and issuing a temperature regulation instruction U to a control module;
when the temperature average value is within the deviation threshold value range, the hydropower station is indicated to be at a normal running level;
when the average temperature value exceeds the deviation threshold range, indicating that the current temperature of the reservoir is higher than the normal temperature level of the reservoir when the hydropower station operates, feeding the current temperature of the reservoir back to a monitoring center for visual alarm, and acquiring a target temperature difference between the average temperature value of the temperature data set and the deviation threshold range; and determining a temperature target to be regulated based on the target temperature difference, formulating a cooling regulation strategy, and issuing a temperature regulation instruction O to the control module.
9. The hydropower station control system based on the internet of things according to claim 6, wherein the process of controlling the operation of the hydropower station water pump by the control module according to the control instruction comprises:
when the control module receives a water injection command, starting the water pump to inject water until reaching the water level height required by the water injection command, and if the monitoring center monitors that the hydropower station cannot complete water injection within a specified time, starting the standby water pump until reaching the water level height required by the water injection command, and stopping the operation of the water pump by the control module;
when the control module receives a water discharge instruction, the water pump is started to discharge water until the water level required by the water discharge instruction is reached, and if the monitoring center monitors that the hydropower station cannot discharge water within a specified time, the standby water pump is started until the water level reaches the required water level, and the control module stops the operation of the water pump.
10. The hydropower station control system based on the internet of things according to claim 8, wherein the process of controlling the operation of the hydropower station water pump by the control module according to the temperature regulation control instruction comprises:
when the control module receives the temperature regulation and control instruction U, the water pump is started to perform water injection and water discharge until the reservoir temperature reaches the requirement of the temperature rise regulation and control strategy, and the control module stops the operation of the water pump;
when the control module receives the temperature regulation and control instruction O, the water pump is started to perform water injection and water discharge until the reservoir temperature reaches the requirement of the cooling regulation and control strategy, and the control module stops the operation of the water pump.
CN202310987056.XA 2023-08-07 2023-08-07 Distributed hydropower station control system based on Internet of things Pending CN117008529A (en)

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CN202310987056.XA CN117008529A (en) 2023-08-07 2023-08-07 Distributed hydropower station control system based on Internet of things

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Application Number Priority Date Filing Date Title
CN202310987056.XA CN117008529A (en) 2023-08-07 2023-08-07 Distributed hydropower station control system based on Internet of things

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CN117008529A true CN117008529A (en) 2023-11-07

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