CN116915824B - Hydraulic engineering brake pump remote monitoring system based on Internet of things - Google Patents
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Abstract
The invention discloses a hydraulic engineering brake pump remote monitoring system based on the Internet of things, which relates to the technical field of hydraulic facility monitoring and comprises a control terminal, a sensor network module, an encryption transmission module, a data analysis module, a fault detection module, a decision module and a visual display module; the sensor network module collects water conservancy-related real-time data and generates a data set; the encryption transmission module is used for setting a plurality of transmission sub-nodes to correct and dynamically encrypt the data set; the data analysis module acquires data analysis of the data set to generate abnormal data and normal data and stores the abnormal data and the normal data into the control terminal; the fault troubleshooting module generates troubleshooting data according to the abnormal data to perform fault processing; the decision module establishes an interaction space with the control terminal, and grabs normal data through a grabbing sequence to carry out decision analysis to generate a decision scheme and corresponding working parameters; and the visual display module acquires the obstacle removal data and the working parameters to generate a visual report and pushes the visual report.
Description
Technical Field
The invention relates to the technical field of hydraulic facility monitoring, in particular to a hydraulic engineering brake pump remote monitoring system based on the Internet of things.
Background
Along with the rapid development of society, in order to meet the demands of people on water resources or solve the problems of flood control irrigation and the like, more and more related facilities of hydraulic engineering are built, wherein a sluice and a pump station included in the related facilities of the hydraulic engineering play a role in flood control and water storage, and the stored water is used for generating electricity, irrigating, preventing flood and serving as an initial source of drinking water, so that the problems of water resource utilization and control are solved, and the daily life of people is greatly facilitated.
Meanwhile, along with the construction of related facilities of hydraulic engineering, how to acquire and monitor data generated by the operation of a plurality of related facilities of hydraulic engineering in real time, the possibility of external interference and damage is reduced in the data acquisition process, the accuracy loss caused by data transmission can also cause larger errors in the finally acquired data, how to solve the problem of sudden rise of drainage pressure caused by sudden rise of rainwater in the raining peak period through the acquired abnormal data in time intervention when the related facilities of hydraulic engineering have faults, how to effectively early warn, and how to make a decision scheme in advance according to the early warning result, and adjust the working states of a sluice and a pump station in the related facilities of hydraulic engineering according to the decision scheme, so that the damage degree to the related facilities of hydraulic engineering is reduced due to the overlarge drainage pressure.
Disclosure of Invention
In order to solve the problems, the invention aims to provide a hydraulic engineering brake pump remote monitoring system based on the Internet of things.
The aim of the invention can be achieved by the following technical scheme: the hydraulic engineering brake pump remote monitoring system based on the Internet of things comprises a control terminal, wherein the control terminal is in communication connection with a sensor network module, an encryption transmission module, a data analysis module, a fault detection module, a decision module and a visual display module;
the sensor network module is used for collecting water conservancy-related real-time data, arranging a plurality of sensors of different types at a plurality of water conservancy devices, constructing a sensor network and summarizing the water conservancy-related real-time data into a data set;
the encryption transmission module is provided with a plurality of transmission sub-nodes, the data set is subjected to data correction and dynamic encryption through each transmission sub-node, and after the data correction and the dynamic encryption are finished, the data set is subjected to dissimilation information detection and is transmitted to the data analysis module;
the data analysis module acquires a data set to perform data analysis to generate abnormal data and normal data, associates different module identifiers with the normal data and the abnormal data, establishes a temporary transmission channel, and transmits the normal data and the abnormal data to the control terminal for storage;
The fault checking module is used for establishing a transmission channel with the control terminal to acquire abnormal data, performing fault processing according to the abnormal data and generating fault clearing data, and is provided with a verification sequence, and comparing the verification sequence to a module identifier in the control terminal through transmission of the verification sequence to the control terminal, if the comparison is successful, acquiring the abnormal data, otherwise, prohibiting acquiring the abnormal data;
the decision module is used for establishing an interaction space with the control terminal, is provided with a grabbing sequence, and transmits the grabbing sequence to the control terminal through the interaction space to be matched with a module identifier of the control terminal, if the matching is successful, normal data are grabbed into the interaction space to carry out decision analysis to generate a decision scheme, otherwise, the interaction space is destroyed, the water conservancy equipment has corresponding working parameters when in operation, and the working parameters of the water conservancy equipment are adjusted according to the decision scheme;
the visual display module is used for acquiring obstacle removal data generated after fault processing is completed, acquiring working parameters adjusted according to a decision scheme, generating a visual report according to the obstacle removal data and the working parameters, and uploading the visual report to the control terminal for storage.
Further, the process of collecting the water conservancy-related real-time data and constructing the sensor network to collect the water conservancy-related real-time data into a data set comprises the following steps:
sequentially numbering a plurality of hydraulic equipment, and arranging different types of sensors for each numbered hydraulic equipment to acquire hydraulic related real-time data, wherein the hydraulic related real-time data comprises water pressure data, water level data and water flow data; the water pressure data comprises current water pressure data and historical water pressure data, the water level data comprises historical water level data and real-time water level data, and the flow sensor respectively acquires water flow data of a gate and a pump station which are included in the water conservancy equipment and identifies corresponding class marks;
the method comprises the steps of obtaining communication authority construction sub-sensing networks of various types of sensors corresponding to a plurality of numbered water conservancy equipment, taking the numbers as construction sequences of the sub-sensing networks, taking any one of the sub-sensing networks as a construction datum point, taking the construction sequence of the sub-sensing networks as a datum sequence, obtaining other sub-sensing networks as communication link points, taking the construction sequences of the sub-sensing networks as link sequences, summarizing the communication link points to be in communication connection with the sub-sensing networks corresponding to the construction datum points respectively to construct the sensor networks, summarizing water conservancy-related real-time data acquired by each sub-sensing network by the sensor networks to generate a data set, and transmitting the data set to an encryption transmission module.
Further, the process of data correction and dynamic encryption of the data set through the transmission sub-node comprises the following steps:
the encryption transmission module is provided with a plurality of transmission sub-nodes and sequentially connected in sequence, the first transmission sub-node is marked as a head node, the head node receives a data set and converts the data set into a binary sequence string, the bit number k of the binary sequence string is obtained, the k is a data bit, r check bits are added, r=k is used for numbering the data bit and the check bit sequentially, and the positions of the k data bits and the r check bits with equal numbers are mapped one to one; and the initial value of the r check bits is a null value, the value of the check bits after one-to-one mapping is 0 or 1, the check bits with equal numbers and the values on the data bits are subjected to exclusive OR operation in sequence to generate error correction character sequences, error correction is carried out according to the error correction character sequences, encryption replacement time is set, the equal length of a binary sequence string is divided into three encryption segments, different encryption modes are respectively adopted for the encryption segments to form an encryption mode sequence, the difference between the current time and the last encryption time is obtained, if the difference is greater than or equal to the encryption replacement time, the encryption mode sequence is changed, the last transmission sub-node is defined as a tail node, other transmission sub-nodes except the head node and the tail node are defined as intermediate nodes, and data correction and dynamic encryption are carried out on the intermediate nodes and the tail node.
Further, the process of detecting the dissimilation information includes:
the data analysis module is provided with a data comparison program, a data set standard format and an IP white list are preset, the data set is associated with an uploading IP and a data format, the data set is input into the data comparison program, if the uploading IP is not subordinate to the IP white list, the uploading IP is marked as illegal IP, the data set is marked as dissimilation information, otherwise, the data set is transmitted to the data analysis module if the data format of the data set is the data set standard format, otherwise, the data set is marked as dissimilation information and is removed.
Further, the process of generating the abnormal data and the normal data and transmitting the abnormal data and the normal data to the control terminal includes:
deconstructing the data set into water pressure data, water level data and water flow data, wherein the historical water pressure data in the water pressure data comprises a plurality of historical record points corresponding to a plurality of water pressure values, setting a water pressure threshold value, eliminating the water pressure value which is greater than or equal to the water pressure threshold value, reserving the water pressure value which is smaller than the water pressure threshold value, acquiring an average value, setting an abnormal water pressure interval value and a standard water pressure interval value, and generating abnormal data and normal data according to the ratio of the water pressure value of the current water pressure data to the average value, the abnormal water pressure interval value and the subordination of the standard water pressure interval value; generating a water level alarm threshold according to the highest numerical value of the historical water level data, marking the real-time water level data as normal data if the real-time water level data is lower than the water level alarm threshold, otherwise marking the real-time water level data as abnormal data; and setting corresponding abnormal value intervals for water flow data of the gate and the pump station, marking the water flow data as abnormal data if the water flow data is in the abnormal value intervals, otherwise, summarizing the abnormal data and the normal data respectively to generate an abnormal data set and a normal data set, distributing corresponding module identifiers, and establishing a temporary transmission channel to transmit the normal data set and the abnormal data set to the control terminal.
Further, the fault troubleshooting module obtains abnormal data to perform fault processing, which includes:
establishing a transmission channel between a fault checking module and a control terminal, marking a data end C1 and a data end C2, setting a verification sequence, transmitting the verification sequence to the data end C2 through the transmission channel by the data end C1, acquiring the verification sequence by the data end C2, judging whether virus information is carried or not, performing corresponding operation according to a judging result, acquiring the verification sequence and a module identifier by the control terminal, presetting a sequence-identifier comparison table, performing comparison of the verification sequence and the module identifier according to the sequence-identifier comparison table, packaging an abnormal data set and the verification sequence into a file packet, transmitting the file packet to the data end C1 through the data end C2 if the comparison is successful, otherwise, performing failure comparison, and prohibiting acquisition of the abnormal data set;
the data end C1 acquires a file packet to generate a plurality of tasks to be troubleshooted, traverses all the tasks to be troubleshooted, generates a first fault adjustment parameter, a second fault adjustment parameter, a third fault adjustment parameter and a fourth fault adjustment parameter, gathers and generates troubleshooting data to be troubleshooted and task association binding to be troubleshooted, uploads the tasks to be troubleshooted to the control terminal, and an automatic troubleshooting program set by the control terminal performs automatic troubleshooting; if the automatic obstacle removing fails, the manual obstacle removing is performed.
Further, the process of obtaining the normal data decision analysis to generate a decision scheme includes:
the decision module establishes an interaction space, sets a grabbing sequence, sends the grabbing sequence into the interaction space, and controls the terminal to acquire the grabbing sequence and compare and match with a module identifier stored by the terminal; deconstructing a normal data set into a plurality of normal data in an interaction space, wherein each normal data corresponds to a water conservancy device, and a decision starting root base point is set for each normal data; setting a plurality of decision attributes, taking a decision initial root point as a starting point for constructing a decision tree, wherein the decision attributes comprise two decision judging states of yes and no, sequentially acquiring the decision judging states of the plurality of decision attributes, and constructing a plurality of decision trees according to the decision judging states; the decision tree has corresponding decision results, a plurality of decision schemes are generated according to the decision results, and the decision schemes are transmitted to the control terminal.
Further, the process of generating the visual report includes:
the visual display module is provided with a data primary screening unit, a feature extraction unit, a report generation unit and a report pushing unit; inputting working parameters and obstacle removing data into a data primary screening unit, wherein the data primary screening unit is provided with a standard data screening range, the working parameters and the obstacle removing data have corresponding data values, the working parameters and the obstacle removing parameters of which the screening data values are not in the standard data screening range are reserved, the working parameters and the obstacle removing data which accord with the working parameters and the obstacle removing data are reserved, the working parameters and the obstacle removing data of the same water conservancy equipment are distributed with an associated mark, a data packet is correspondingly generated, and the associated mark and the serial number of the water conservancy equipment are combined to be used as the identification ID of the data packet; inputting a plurality of data packets into a feature extraction unit, wherein the feature extraction unit verifies whether the identification ID is a legal ID included in a preset legal ID directory, if the identification ID is the legal ID, a plurality of feature drawing points are generated, otherwise, the feature drawing points are not generated; the report generating unit acquires a plurality of feature drawing points and generates a plurality of visual reports according to the feature drawing points corresponding to the data packets.
Further, the pushing process of the report pushing unit to the visual report includes:
the report pushing unit obtains the visual report and the identification ID corresponding to the data packet, pushes the visual report to the water conservancy equipment with the corresponding water conservancy equipment number according to the water conservancy equipment number in the identification ID, and a water conservancy related maintainer at the water conservancy equipment obtains the visual report and formulates a subsequent optimization scheme to upload to the control terminal for storage.
Compared with the prior art, the invention has the beneficial effects that:
1. a sub-sensing network is constructed by various sensors of the same water conservancy device, a plurality of sub-sensing networks are summarized to construct a sensor network, the sub-sensing network collects water conservancy related real-time data of the water conservancy device, the sensor network further summarizes the water conservancy related real-time data collected by the plurality of sub-sensing networks to generate a data set, the collecting efficiency of a large amount of data is improved through the step-by-step targeted collection, the data set is subjected to data correction and dynamic encryption through the plurality of transmission sub-nodes arranged by the encryption transmission module, the possibility of external cracking data, tampering data and leaking data is reduced to a certain extent, the safety of data transmission is effectively improved, whether the uploading IP related to the data set belongs to an IP white list is judged through the detection of dissimilation information, if the IP white list belongs to the IP white list, whether the data format accords with a preset format is continuously judged, and the interference of other illegal data on required correct data is reduced to a certain extent.
2. The method comprises the steps of processing a data set to generate normal data and abnormal data, uploading the normal data and the abnormal data to a control terminal for storage in a mode of establishing a temporary transmission channel, wherein the temporary transmission channel is opened and closed according to whether the abnormal data and the normal data exist in the control terminal, if the abnormal data and the normal data exist in the control terminal, the temporary transmission channel is closed, communication expenditure of a system is reduced to a certain extent, follow-up acquisition of the normal data and the abnormal data is limited through module identification, the data is effectively prevented from being stolen, a task to be subjected to fault elimination is generated according to the abnormal data, the task to be subjected to fault elimination is automatically conducted preferentially, and then manual fault elimination is conducted when the problem of faults cannot be solved by automatic fault elimination.
3. The normal data is obtained to carry out decision analysis, and the damage degree to water conservancy equipment caused by the sudden rise of drainage pressure due to the sudden rise of rainfall can be prevented to a certain extent through a decision scheme generated by the decision analysis; and after monitoring is finished, a visual report is generated and pushed to a water conservancy related maintainer at the corresponding water conservancy equipment, wherein the visual report comprises multiple types, so that the water conservancy related maintainer can clearly know the related operation condition of the water conservancy equipment.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, the hydraulic engineering brake pump remote monitoring system based on the internet of things comprises a control terminal, wherein the control terminal is in communication connection with a sensor network module, an encryption transmission module, a data analysis module, a fault detection module, a decision module and a visual display module;
the sensor network module is used for collecting water conservancy-related real-time data, arranging a plurality of sensors of different types at a plurality of water conservancy devices, constructing a sensor network and summarizing the water conservancy-related real-time data into a data set;
the encryption transmission module is provided with a plurality of transmission sub-nodes, the data set is subjected to data correction and dynamic encryption through each transmission sub-node, and after the data correction and the dynamic encryption are finished, the data set is subjected to dissimilation information detection and is transmitted to the data analysis module;
the data analysis module acquires a data set to perform data analysis to generate abnormal data and normal data, associates different module identifiers with the normal data and the abnormal data, establishes a temporary transmission channel, and transmits the normal data and the abnormal data to the control terminal for storage;
The fault checking module is used for establishing a transmission channel with the control terminal to acquire abnormal data, performing fault processing according to the abnormal data and generating fault clearing data, and is provided with a verification sequence, and comparing the verification sequence to a module identifier in the control terminal through transmission of the verification sequence to the control terminal, if the comparison is successful, acquiring the abnormal data, otherwise, prohibiting acquiring the abnormal data;
the decision module is used for establishing an interaction space with the control terminal, is provided with a grabbing sequence, and transmits the grabbing sequence to the control terminal through the interaction space to be matched with a module identifier of the control terminal, if the matching is successful, normal data are grabbed into the interaction space to carry out decision analysis to generate a decision scheme, otherwise, the interaction space is destroyed, the water conservancy equipment has corresponding working parameters when in operation, and the working parameters of the water conservancy equipment are adjusted according to the decision scheme;
the visual display module is used for acquiring obstacle removal data generated after fault processing is completed, acquiring working parameters adjusted according to a decision scheme, generating a visual report according to the obstacle removal data and the working parameters, and uploading the visual report to the control terminal for storage.
It should be further noted that, in a specific implementation process, the process of collecting the water conservancy-related real-time data and constructing the sensor network to collect the water conservancy-related real-time data into a data set includes:
sequentially numbering a plurality of hydraulic equipment, namely i, wherein i=1, 2,3, … …, n and n are natural numbers larger than 0, and arranging a plurality of sensors of different types for each hydraulic equipment with the number i, wherein the types of the sensors comprise a pressure sensor, a liquid level sensor and a flow sensor;
the water conservancy-related real-time data comprise water pressure data, water level data and water flow data;
the pressure sensor is used for collecting water pressure data, and the water pressure data comprise current water pressure data and historical water pressure data;
setting a liquid level monitoring period, wherein the liquid level monitoring period comprises current time and historical time, water level data acquired by a liquid level sensor in the historical time is used as historical water level data, and water level data acquired in the current time is used as real-time water level data;
the flow sensor acquires water flow data of a gate which is arranged in the water conservancy equipment and water flow data of a pump station which is arranged in the water conservancy equipment, the water flow data acquired by the flow sensor arranged in the gate is marked with a class mark A, and the water flow data acquired by the flow sensor arranged in the pump station is marked with a class mark B;
Acquiring various types of sensors corresponding to a plurality of numbered water conservancy devices, acquiring communication authority construction sub-sensing networks of different types of sensors under each number, taking the number of the water conservancy device as a construction sequence of the sub-sensing network, marking j as j, taking any one of the sub-sensing networks as a construction reference point, taking the construction sequence of the sub-sensing network as a reference sequence, and acquiring other j-1 sub-sensing networks as communication link points;
the construction sequences corresponding to the communication link points are used as link sequences, the communication link points and the sub-sensor networks corresponding to the construction reference points are summarized to construct a sensor network, the link sequences and the reference sequences are summarized to generate identification sequences of the sensor network, and the identification sequences are used as unique identity marks of the sensor network;
and the sensor network gathers the water conservancy-related real-time data acquired by each sub-sensor network to generate a data set, and transmits the data set to the encryption transmission module.
It should be further noted that, in a specific implementation process, the process of data correction and dynamic encryption of the data set through the transmission sub-node includes:
the encryption transmission module is provided with a plurality of transmission sub-nodes, the transmission sub-nodes are sequentially connected, a first transmission sub-node is taken as an example for explanation, and the first transmission sub-node is marked as a head node;
After receiving the data set, the head node converts the data set into a binary sequence string, acquires the bit number of the binary sequence string, marks the bit number as k, defines k as data bits, adds r check bits, wherein r and k are equal in value, sequentially numbers the k data bits and the r check bits, and performs one-to-one mapping on the positions where the k data bits and the r check bits are equal in number;
after the initial values of the r check bits are null values and one-to-one mapping is carried out, the null values on each check bit are mapped to values corresponding to k, namely the values are 0 and 1 included in the binary sequence string, the data bits are 0, the check bits mapped one-to-one are also 0, the data bits are 1, and the check bits mapped one-to-one are also 1;
sequentially obtaining the check bit and the numerical value on the data bit of each position with the same number, carrying out exclusive OR operation, wherein the result of the exclusive OR operation is 1 and 0, if the numerical values of the corresponding positions on the check bit and the data bit are equal, the operation result is 0, otherwise, the operation result is 1;
generating an error correction character sequence according to the operation result, traversing the error correction character sequence, recording the position where '1' appears, performing 01 inverse operation on the numerical value of the data bit at the position, namely changing to 1 if the numerical value of the data bit is 0, otherwise changing 1 to 0, completing error correction after traversing, and dynamically encrypting the binary sequence string with the completed error correction;
Setting encryption replacement time, namely T, dividing the binary sequence string into three encryption segments, namely a first encryption segment, a second encryption segment and a third encryption segment; symmetrically encrypting the first encrypted segment, asymmetrically encrypting the second encrypted segment, and performing binary conversion encryption on the third encrypted segment;
the three encryption modes of symmetric encryption, anti-symmetric encryption and binary system conversion encryption are respectively X1, X2 and X3 to form an encryption mode sequence, wherein the encryption mode sequence is marked as L, the initial value of L is R= < X1, X2 and X3>, the current time is obtained and is marked as T1, the time of last encryption is obtained and is marked as T2, if T1-T2 = T, the encryption mode sequence conversion sequence is changed, and the conversion sequence is changed as follows: r= < X1, X2, X3>, r= < X1, X3, X2>, r= < X2, X1, X3>, and r= < X3, X2, X1>, and after changing to the last r= < X3, X2, X1>, the conversion from scratch is continued;
defining the last transmission sub-node as a tail node, defining other transmission sub-nodes except for a head node and a tail node as intermediate nodes, performing the data correction and dynamic encryption operation on each intermediate node and the tail node, and performing dissimilation information detection on the data set after the data correction and dynamic encryption are completed;
It should be further noted that, in a specific implementation process, the process of detecting the dissimilarity information includes:
the data analysis module is provided with a data comparison program, the data comparison program is preset with a data set standard format and an IP white list, the data set is associated with an uploading IP and a corresponding data format, and the data set is input into the data comparison program;
the data comparison program firstly judges the IP, if the uploading IP is not subordinate to the IP white list, the uploading IP is marked as illegal IP, the data set is marked as dissimilation information, otherwise, the data format judgment is continued, if the data format of the data set is the standard data set format, the data set is transmitted to the data analysis module, if the data format of the data set is not the standard data set format, the data set is marked as dissimilation information, and the dissimilation information is removed;
it should be further noted that, in a specific implementation process, the process of obtaining the data set by the data analysis module, performing data analysis to generate abnormal data and normal data, and establishing a temporary transmission channel to transmit to the control terminal for storage includes:
the data analysis module acquires a data set and deconstructs the data set into original water pressure data, water level data and water flow data;
The historical hydraulic data in the hydraulic data comprises a plurality of historical record points, each historical record point corresponds to a hydraulic value, the hydraulic value is provided with a hydraulic threshold value, the hydraulic values of the historical record points are traversed, the hydraulic values larger than or equal to the hydraulic threshold value are removed, the hydraulic values smaller than the hydraulic threshold value are reserved, an average value is calculated and obtained, the average value is marked as Ave, the hydraulic value corresponding to the current hydraulic data is obtained, and the hydraulic value is marked as D1;
if D1/Ave e G1, g1= [1.3,1.4], marking the water pressure data as abnormal data, wherein G1 is an abnormal water pressure interval value;
if D1/Ave e G2, g2= [0.8,1.3), marking the water pressure data as normal data, wherein G2 is a standard water pressure interval value;
acquiring historical water level data and real-time water level data in the water level data, acquiring the highest numerical value in the historical water level data as a water level alarm threshold, marking the real-time water level data as normal data if the real-time water level data is lower than the water level alarm threshold, otherwise marking the real-time water level data as abnormal data, and updating the water level alarm threshold to the numerical value corresponding to the real-time water level data;
different abnormal constant value intervals are set in water flow Data of the gate and the pump station and are respectively marked as G3 and G4, water flow Data corresponding to the category identification A is obtained and marked as Data1, water flow Data corresponding to the category identification B is obtained and marked as Data2, if Data1 epsilon G3 is used, normal Data is marked, otherwise, abnormal Data is marked, if Data2 epsilon G4 is used, normal Data is marked, otherwise, abnormal Data is marked;
Summarizing abnormal data to generate an abnormal data set, distributing a module identifier for the abnormal data set, marking as Sign1, summarizing normal data to generate a normal data set, distributing a module identifier for the normal data set, marking as Sign2, establishing a temporary transmission channel communicated with a control terminal, and transmitting the normal data set and the abnormal data set to the control terminal for storage;
it should be noted that, the temporary transmission channel is opened according to whether the abnormal data and the normal data exist in the control terminal, the control terminal is provided with an identifier monitoring area, the identifier monitoring area is used for monitoring whether the module identifier exists, when any one of the module identifiers Sign1 and Sign2 is monitored, or when both the Sign1 and the Sign2 are monitored, the temporary transmission channel is opened, if any one of the module identifiers Sign1 and Sign2 is not monitored, the temporary transmission channel is closed, and if no module identifier exists in the control terminal, the normal data set and the abnormal data set in the control terminal are transmitted to the subsequent fault checking module or decision module, and at the moment, the temporary transmission channel is closed, so that the communication overhead of the system is reduced.
It should be further noted that, in a specific implementation process, the process of obtaining the abnormal data by the fault detection module to perform fault processing includes:
a transmission channel is established between the fault detection module and the control terminal, one end, connected with the transmission channel, of the fault detection module is marked as a data end C1, and the other end, connected with the transmission channel, of the control terminal is marked as a data end C2;
the fault checking module is provided with a verification sequence, the data end C1 acquires the verification sequence and then transmits the verification sequence to the data end C2 through a transmission channel, the data end C2 acquires the verification sequence and judges whether the verification sequence carries virus information, if so, the virus information is removed from the verification sequence, otherwise, the verification sequence is directly transmitted to the control terminal;
the control terminal acquires a verification sequence and a module identifier Sign2, the control terminal also stores a preset sequence-identifier comparison table, the sequence-identifier comparison table defines the correct comparison relation between the verification sequence and the module identifier Sign2, if the comparison relation between the verification sequence and the module identifier belongs to the correct comparison relation, the comparison is successful, the abnormal data set and the verification sequence are packaged into a file packet, the file packet is transmitted to a data end C1 through a data end C2, otherwise, the comparison is failed, and the acquisition of a plurality of abnormal data contained in the abnormal data set is forbidden;
When the data end C1 successfully receives the file packet, an abnormal data set in the file packet is deconstructed, a plurality of tasks to be troubleshooted are generated according to a plurality of abnormal data included in the abnormal data set, index numbers are carried out on the tasks to be troubleshooted, k is marked, k=1, 2,3, … … and z are included, and z is a natural number larger than 0;
the task to be subjected to fault elimination comprises a fault equipment number k and fault content, wherein the fault content is water pressure data, water level data and water flow data which are included in abnormal data;
traversing the tasks to be discharged associated with different fault equipment numbers k in sequence, generating a first fault adjustment parameter according to the part of the water pressure data exceeding the abnormal water pressure interval value, generating a second fault adjustment parameter according to the part of the water level data exceeding the water level alarm threshold value, and generating a third fault adjustment parameter and a fourth fault adjustment parameter respectively according to the part of the water flow data exceeding the abnormal constant value interval corresponding to the gate and the pump station;
summarizing the first fault adjustment parameter, the second fault adjustment parameter, the third fault adjustment parameter and the fourth fault adjustment parameter to generate fault clearing data, and carrying out association binding on the fault clearing data and corresponding tasks to be cleared;
Uploading a task to be troubleshooted to a control terminal, wherein the control terminal is provided with an automatic obstacle removing program, the automatic obstacle removing program obtains the task to be troubleshooted and then performs automatic obstacle removing, and the content of the automatic obstacle removing is as follows: generating an obstacle removing instruction according to the obstacle removing data, transmitting the obstacle removing instruction to a water conservancy device corresponding to a fault device number k, arranging an obstacle removing robot at the water conservancy device, acquiring the obstacle removing instruction by the obstacle removing robot to remove the obstacle, uploading water conservancy related real-time data to a control terminal after the obstacle removing is completed, automatically removing the obstacle if the control terminal acquires that the judgment result of the water conservancy related real-time data is still abnormal data, otherwise, automatically removing the obstacle successfully, marking a task to be removed as a completed task, and removing the task from the control terminal;
if the automatic obstacle removal fails, the control terminal generates an obstacle removal form, and stores a to-be-removed fault task which fails in automatic obstacle removal into the obstacle removal form, wherein the obstacle removal form is sent to a water conservancy related maintainer, the water conservancy related maintainer timely performs manual obstacle removal, the obstacle removal is completed, and the to-be-removed fault task is marked as a completed task;
it should be further noted that, in a specific implementation process, the process of obtaining normal data by the decision module to perform decision analysis to generate a decision scheme includes:
The decision module establishes an interaction space with the control terminal, the decision module is provided with a grabbing sequence, the grabbing sequence is sent into the interaction space, the control terminal acquires the grabbing sequence and compares and matches the grabbing sequence with a module identifier Sign2 stored by the control terminal, if the matching is successful, the normal data set is grabbed into the interaction space for decision analysis, and if the matching is failed, the interaction space is destroyed;
obtaining a reading authority of an interaction space, deconstructing a normal data set into a plurality of normal data in the interaction space, wherein each normal data corresponds to a water conservancy device, setting a decision starting Root base point for each normal data, and marking the decision starting Root base point as Root [ i ], wherein i is the number of each water conservancy device;
setting a plurality of decision attributes, wherein the decision attributes comprise a first decision attribute, a second decision attribute, a third decision attribute and a fourth decision attribute, the first decision attribute is set to be whether rainfall is generated, the second decision attribute is set to be whether rainfall exceeds a set rainfall early warning value, the third decision attribute is set to be whether the working states of a sluice and a pump station are abnormal, and the fourth decision attribute is set to be whether the working parameters corresponding to the working states of the sluice and the pump station can bear drainage pressure caused by the rainfall;
Taking a decision starting Root point Root [ i ] as a starting point for constructing a decision tree i, wherein the decision attributes comprise two decision judging states of yes and no, sequentially acquiring decision judging states of a first decision attribute, a second decision attribute, a third decision attribute and a fourth decision attribute, and constructing a plurality of decision trees according to the decision judging states;
generating different intermediate nodes from yes and no of the decision states of the first decision attribute, the second decision attribute and the third decision attribute of the decision tree, and generating a leaf node by the fourth decision attribute, wherein the leaf node corresponds to a final decision result;
acquiring a plurality of decision results, generating a plurality of corresponding decision schemes according to the decision results, and transmitting the decision schemes to a control terminal for storage, wherein the decision schemes comprise adjustment of working parameters when a sluice and a pump station are in working states;
the hydraulic equipment with the number i acquires a decision scheme of the control terminal to adjust the real-time working parameters of the hydraulic equipment so as to achieve the purpose of early prevention;
it should be noted that, the construction of the decision tree and the final generation of the decision result, the decision result is used to generate a decision scheme, and the decision scheme includes corresponding values for adjusting the working parameters of the sluice and the pump station in the working state, so that when the rainfall exceeding the rainfall early warning value is faced, the corresponding sluice and the pump station can be timely adjusted, and the damage degree of the sluice and the pump station to the related facilities of the hydraulic engineering caused by the sudden rise of the drainage pressure is reduced to a certain extent.
It should be further noted that, in a specific implementation process, the process of generating and uploading the visual report to the control terminal for storage includes:
the visual display module acquires obstacle removal data generated by the fault investigation module, acquires working parameters of the decision module, and is provided with a data primary screening unit, a feature extraction unit, a report generation unit and a report pushing unit;
inputting the working parameters and the obstacle removing data into a data primary screening unit, wherein the data primary screening unit is provided with a standard data screening range, the working parameters and the obstacle removing data have corresponding data values, screening the working parameters and the obstacle removing parameters of which the data values are not in the standard data screening range, reserving the working parameters and the obstacle removing data of which the data values accord with the standard data screening range, distributing a correlation mark to the reserved working parameters and the obstacle removing data of the same water conservancy equipment, generating a data packet corresponding to each correlation mark, and combining the correlation mark with the serial numbers of the water conservancy equipment to be used as the identification ID of the data packet;
inputting a plurality of data packets into a feature extraction unit, wherein the feature extraction unit verifies whether the identification ID is a legal ID included in a preset legal ID directory, if the identification ID is the legal ID, a plurality of feature drawing points associated with each data packet are generated, and if the identification ID is not in the legal ID directory, the feature drawing points are not generated;
The report generation unit acquires a plurality of feature drawing points, generates a plurality of visual reports according to the feature drawing points corresponding to the data packets, and the report types of the visual reports comprise a visual histogram, a visual tree diagram, a visual pie chart, a visual line graph and a visual document;
transmitting the visual reports to a report pushing unit, wherein the report pushing unit acquires an identification ID, pushes the visual reports to the hydraulic equipment with corresponding hydraulic equipment numbers according to the hydraulic equipment numbers in the identification ID, and a hydraulic related maintainer at the hydraulic equipment acquires the visual reports, wherein the visual reports show related operation conditions of the hydraulic equipment, and a subsequent optimization scheme is formulated by knowing the related operation conditions of the hydraulic equipment and uploaded to a control terminal for storage;
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 (7)
1. The hydraulic engineering brake pump remote monitoring system based on the Internet of things comprises a control terminal and is characterized in that the control terminal is in communication connection with a sensor network module, an encryption transmission module, a data analysis module, a fault detection module, a decision module and a visual display module;
the sensor network module is used for collecting water conservancy-related real-time data, arranging a plurality of sensors of different types at a plurality of water conservancy devices, constructing a sensor network and summarizing the water conservancy-related real-time data into a data set;
the encryption transmission module is provided with a plurality of transmission sub-nodes, the data set is subjected to data correction and dynamic encryption through each transmission sub-node, and after the data correction and the dynamic encryption are finished, the data set is subjected to dissimilation information detection and is transmitted to the data analysis module;
the data analysis module acquires a data set to perform data analysis to generate abnormal data and normal data, associates different module identifiers with the normal data and the abnormal data, establishes a temporary transmission channel, and transmits the normal data and the abnormal data to the control terminal for storage;
the fault checking module is used for establishing a transmission channel with the control terminal to acquire abnormal data, performing fault processing according to the abnormal data and generating fault clearing data, and is provided with a verification sequence, and comparing the verification sequence to a module identifier in the control terminal through transmission of the verification sequence to the control terminal, if the comparison is successful, acquiring the abnormal data, otherwise, prohibiting acquiring the abnormal data;
The decision module is used for establishing an interaction space with the control terminal, is provided with a grabbing sequence, and transmits the grabbing sequence to the control terminal through the interaction space to be matched with a module identifier of the control terminal, if the matching is successful, normal data are grabbed into the interaction space to carry out decision analysis to generate a decision scheme, otherwise, the interaction space is destroyed, the water conservancy equipment has corresponding working parameters when in operation, and the working parameters of the water conservancy equipment are adjusted according to the decision scheme;
the visual display module is used for acquiring obstacle removal data generated after fault processing is completed, acquiring working parameters adjusted according to a decision scheme, generating a visual report according to the obstacle removal data and the working parameters, and uploading the visual report to the control terminal for storage;
the process of collecting the water conservancy-related real-time data and constructing a sensor network to collect the water conservancy-related real-time data into a data set comprises the following steps:
sequentially numbering a plurality of hydraulic equipment, and arranging different types of sensors for each numbered hydraulic equipment to acquire hydraulic related real-time data, wherein the hydraulic related real-time data comprises water pressure data, water level data and water flow data; the water pressure data comprises current water pressure data and historical water pressure data, the water level data comprises historical water level data and real-time water level data, and the flow sensor respectively acquires water flow data of a gate and a pump station which are included in the water conservancy equipment and identifies corresponding class marks;
The method comprises the steps of obtaining communication authority construction sub-sensing networks of various types of sensors corresponding to a plurality of numbered water conservancy equipment, taking the numbers as construction sequences of the sub-sensing networks, taking any one of the sub-sensing networks as a construction datum point, taking the construction sequence of the sub-sensing networks as a datum sequence, obtaining other sub-sensing networks as communication link points, taking the construction sequences of the sub-sensing networks as link sequences, summarizing the communication link points to be in communication connection with the sub-sensing networks corresponding to the construction datum points respectively to construct the sensor networks, summarizing water conservancy-related real-time data acquired by each sub-sensing network by the sensor networks to generate a data set, and transmitting the data set to an encryption transmission module;
the process of data correction and dynamic encryption of the data set through the transmission sub-node comprises the following steps:
the encryption transmission module is provided with a plurality of transmission sub-nodes and sequentially connected in sequence, the first transmission sub-node is marked as a head node, the head node receives a data set and converts the data set into a binary sequence string, the bit number k of the binary sequence string is obtained, the k is a data bit, r check bits are added, r=k is used for numbering the data bit and the check bit sequentially, and the positions of the k data bits and the r check bits with equal numbers are mapped one to one; and the initial value of the r check bits is a null value, the value of the check bits after one-to-one mapping is 0 or 1, the check bits with equal numbers and the values on the data bits are subjected to exclusive OR operation in sequence to generate error correction character sequences, error correction is carried out according to the error correction character sequences, encryption replacement time is set, the equal length of a binary sequence string is divided into three encryption segments, different encryption modes are respectively adopted for the encryption segments to form an encryption mode sequence, the difference between the current time and the last encryption time is obtained, if the difference is greater than or equal to the encryption replacement time, the encryption mode sequence is changed, the last transmission sub-node is defined as a tail node, other transmission sub-nodes except the head node and the tail node are defined as intermediate nodes, and data correction and dynamic encryption are carried out on the intermediate nodes and the tail node.
2. The remote monitoring system of hydraulic engineering brake pump based on the internet of things according to claim 1, wherein the process of detecting dissimilation information comprises:
the data analysis module is provided with a data comparison program, a data set standard format and an IP white list are preset, the data set is associated with an uploading IP and a data format, the data set is input into the data comparison program, if the uploading IP is not subordinate to the IP white list, the uploading IP is marked as illegal IP, the data set is marked as dissimilation information, otherwise, the data set is transmitted to the data analysis module if the data format of the data set is the data set standard format, otherwise, the data set is marked as dissimilation information and is removed.
3. The remote monitoring system of hydraulic engineering brake pump based on the internet of things according to claim 2, wherein the process of generating the abnormal data and the normal data and transmitting the abnormal data and the normal data to the control terminal comprises the following steps:
deconstructing the data set into water pressure data, water level data and water flow data, wherein the historical water pressure data in the water pressure data comprises a plurality of historical record points corresponding to a plurality of water pressure values, setting a water pressure threshold value, eliminating the water pressure value which is greater than or equal to the water pressure threshold value, reserving the water pressure value which is smaller than the water pressure threshold value, acquiring an average value, setting an abnormal water pressure interval value and a standard water pressure interval value, and generating abnormal data and normal data according to the ratio of the water pressure value of the current water pressure data to the average value, the abnormal water pressure interval value and the subordination of the standard water pressure interval value; generating a water level alarm threshold according to the highest numerical value of the historical water level data, marking the real-time water level data as normal data if the real-time water level data is lower than the water level alarm threshold, otherwise marking the real-time water level data as abnormal data; and setting corresponding abnormal value intervals for water flow data of the gate and the pump station, marking the water flow data as abnormal data if the water flow data is in the abnormal value intervals, otherwise, summarizing the abnormal data and the normal data respectively to generate an abnormal data set and a normal data set, distributing corresponding module identifiers, and establishing a temporary transmission channel to transmit the normal data set and the abnormal data set to the control terminal.
4. The remote monitoring system of hydraulic engineering brake pump based on the internet of things according to claim 3, wherein the process of obtaining abnormal data by the fault detection module to perform fault processing comprises the following steps:
establishing a transmission channel between a fault checking module and a control terminal, marking a data end C1 and a data end C2, setting a verification sequence, transmitting the verification sequence to the data end C2 through the transmission channel by the data end C1, acquiring the verification sequence by the data end C2, judging whether virus information is carried or not, performing corresponding operation according to a judging result, acquiring the verification sequence and a module identifier by the control terminal, presetting a sequence-identifier comparison table, performing comparison of the verification sequence and the module identifier according to the sequence-identifier comparison table, packaging an abnormal data set and the verification sequence into a file packet, transmitting the file packet to the data end C1 through the data end C2 if the comparison is successful, otherwise, performing failure comparison, and prohibiting acquisition of the abnormal data set;
the data end C1 acquires a file packet to generate a plurality of tasks to be troubleshooted, traverses all the tasks to be troubleshooted, generates a first fault adjustment parameter, a second fault adjustment parameter, a third fault adjustment parameter and a fourth fault adjustment parameter, gathers and generates troubleshooting data to be troubleshooted and task association binding to be troubleshooted, uploads the tasks to be troubleshooted to the control terminal, and an automatic troubleshooting program set by the control terminal performs automatic troubleshooting; if the automatic obstacle removing fails, the manual obstacle removing is performed.
5. The remote monitoring system for hydraulic engineering brake pump based on the internet of things according to claim 4, wherein the process of obtaining the normal data decision analysis to generate the decision scheme comprises the following steps:
the decision module establishes an interaction space, sets a grabbing sequence, sends the grabbing sequence into the interaction space, and controls the terminal to acquire the grabbing sequence and compare and match with a module identifier stored by the terminal; deconstructing a normal data set into a plurality of normal data in an interaction space, wherein each normal data corresponds to a water conservancy device, and a decision starting root base point is set for each normal data; setting a plurality of decision attributes, taking a decision initial root point as a starting point for constructing a decision tree, wherein the decision attributes comprise two decision judging states of yes and no, sequentially acquiring the decision judging states of the plurality of decision attributes, and constructing a plurality of decision trees according to the decision judging states; the decision tree has corresponding decision results, a plurality of decision schemes are generated according to the decision results, and the decision schemes are transmitted to the control terminal.
6. The remote monitoring system for hydraulic engineering brake pump based on the internet of things according to claim 5, wherein the process of generating the visual report comprises:
the visual display module is provided with a data primary screening unit, a feature extraction unit, a report generation unit and a report pushing unit; inputting working parameters and obstacle removing data into a data primary screening unit, wherein the data primary screening unit is provided with a standard data screening range, the working parameters and the obstacle removing data have corresponding data values, the working parameters and the obstacle removing parameters of which the screening data values are not in the standard data screening range are reserved, the working parameters and the obstacle removing data which accord with the working parameters and the obstacle removing data are reserved, the working parameters and the obstacle removing data of the same water conservancy equipment are distributed with an associated mark, a data packet is correspondingly generated, and the associated mark and the serial number of the water conservancy equipment are combined to be used as the identification ID of the data packet; inputting a plurality of data packets into a feature extraction unit, wherein the feature extraction unit verifies whether the identification ID is a legal ID included in a preset legal ID directory, if the identification ID is the legal ID, a plurality of feature drawing points are generated, otherwise, the feature drawing points are not generated; the report generating unit acquires a plurality of feature drawing points and generates a plurality of visual reports according to the feature drawing points corresponding to the data packets.
7. The remote monitoring system of hydraulic engineering brake pump based on the internet of things according to claim 6, wherein the pushing process of the visual report by the report pushing unit includes:
the report pushing unit obtains the visual report and the identification ID corresponding to the data packet, pushes the visual report to the water conservancy equipment with the corresponding water conservancy equipment number according to the water conservancy equipment number in the identification ID, and a water conservancy related maintainer at the water conservancy equipment obtains the visual report and formulates a subsequent optimization scheme to upload to the control terminal for storage.
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