CN112558534A - Smart fluid transportation monitoring system and method for weak current intensive pipe network - Google Patents
Smart fluid transportation monitoring system and method for weak current intensive pipe network Download PDFInfo
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- CN112558534A CN112558534A CN202110195593.1A CN202110195593A CN112558534A CN 112558534 A CN112558534 A CN 112558534A CN 202110195593 A CN202110195593 A CN 202110195593A CN 112558534 A CN112558534 A CN 112558534A
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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
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
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Abstract
The invention relates to a smart fluid transportation monitoring system of a weak current intensive pipe network and a method thereof, wherein the system comprises a bearing rack, monitors, a field data acquisition terminal, an intelligent communication gateway and a remote monitoring terminal, the bearing rack is of a columnar frame structure, the monitors are embedded in the bearing rack and are uniformly distributed along the axial direction of the bearing rack, the monitors are in data connection with the field data acquisition terminal through the intelligent communication gateway, the intelligent communication gateway and the remote monitoring terminal are both communicated with an external power supply system through leads, and the intelligent communication gateway is in data connection with the remote monitoring terminal. The operation method comprises two steps of laying a monitoring network, monitoring and managing the operation of a pipe network and the like. On one hand, the invention effectively simplifies the structure of the monitoring system and improves the environmental adaptability and the use flexibility of the monitoring system; on the other hand, the intelligent degree is high, the working efficiency and the precision of the operation and control operation of the pipe network system can be effectively improved, and the labor intensity and the operation cost of the pipe network monitoring operation are effectively reduced.
Description
Technical Field
The invention relates to a smart fluid transportation monitoring system and method for a weak current intensive pipe network, and belongs to the technical field of material conveying technology and information communication.
Background
At present, in the operation of conveying gas, liquid and solid fluid materials, a pipe network system is often needed to carry out long-distance, multi-conveying direction or accurate metering conveying operation, such as a water supply pipe network system, a gas supply pipe network system and the like, in order to meet the requirement of accurately controlling the operation of the pipe network system, at present, the running state of the pipe network conveying medium is monitored by arranging detection devices such as flow sensors, pressure sensors and the like in a distributed manner in a pipe network system, then a power mechanism of the pipe network system is integrally controlled, although the requirement of operation and control operation can be met to a certain extent, on one hand, the pipe network monitoring system has complex structure, great difficulty in installation and maintenance operation and relatively high labor intensity and cost, meanwhile, the universality is poor, and the requirement of specific medium conveying operation can only be met, so that the use flexibility and the universality are relatively poor; on the other hand, the traditional pipe network monitoring system can only meet the requirement of monitoring operation on the pipe network operation state in the operation process, has low pipe network monitoring capability and poor monitoring data comprehensiveness, and does not have the capability of accurately regulating and controlling operation on the pipe network medium conveying state and parameters in the monitoring process.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a smart fluid transportation monitoring system and a smart fluid transportation monitoring method for a weak current intensive pipe network.
In order to achieve the above effects, a smart fluid transportation monitoring system and a method thereof for a weak current intensive pipe network are provided, which specifically comprise the following steps:
the utility model provides a light current intensification pipe network wisdom fluid transportation monitored control system, including bearing the frame, the watch-dog, on-the-spot data acquisition terminal, intelligent communication gateway, remote monitering terminal, wherein bear the frame and be axis and the column frame structure of ground level parallel distribution, the watch-dog is a plurality of, inlay in bearing the frame and with bear the frame coaxial distribution, and each watch-dog is along bearing frame axis direction equipartition, parallelly connected each other between the watch-dog, on the one hand through electric power wire and on-the-spot data acquisition terminal electrical connection, on the other hand through establishing data connection between intelligent communication gateway and the on-the-spot data acquisition terminal, at least one intelligent communication gateway, remote monitering terminal is one, and intelligent communication gateway, remote monitering terminal all communicates with outside electric power system through the wire, intelligent communication gateway establishes data.
Furthermore, the bearing frame comprises a positioning seat, a bearing keel, a positioning hoop, a wiring groove, a protective panel and a grounding electrode, the bearing keel is a frame structure with the axis parallel to the ground plane, the lower end surface of the bearing keel is connected with a plurality of positioning seats, the positioning seats are uniformly distributed along the axis direction of the bearing keel, the positioning hoops are a plurality of and embedded in the bearing keel, are in sliding connection with the inner surface of the bearing keel through sliding rails and are uniformly distributed along the axis direction of the bearing keel, the axis of the sliding rails forms an included angle of 0-90 degrees with the axis of the bearing keel and are connected with the bearing keel through a pressure sensor, the monitor is embedded in the bearing keel, is coaxially distributed with the positioning seats through the positioning hoops and is uniformly distributed along the axis direction of the bearing keel, the protective panel is a plurality of and covers the outer surface, the wiring groove is connected with the inner surface of the protection panel, the wires are embedded in the wiring groove, at least one grounding electrode is connected with the lower end face of the positioning base, the lower end face of the grounding electrode is inserted into the ground plane, and the grounding electrode and the pressure sensor are electrically connected with the field data acquisition terminal.
Furthermore, a monitoring camera is additionally arranged in the bearing keel, the monitoring camera is in sliding connection with the side surface of the bearing keel through a driving guide rail, the monitoring camera is in sliding connection with the driving guide rail through a rotary table mechanism, the optical axis of the monitoring camera intersects with the axis of the bearing keel and forms an included angle of 10-90 degrees, and the monitoring camera, the driving guide rail and the rotary table mechanism are all electrically connected with the field data acquisition terminal.
Furthermore, the bearing keel is any one of U-shaped, isosceles trapezoid and circular ring-shaped structures with a transverse section in a shape like the Chinese character 'kou'.
Further, the monitor comprises a connecting flange, a detection pipe, a booster pump, a drainage branch pipe, a water quality detector, a gas detector, a temperature and humidity sensor, a flow velocity sensor, a pressure sensor, a foaming device, a filter screen, an irradiation inactivation device, a control valve and a driving circuit, wherein two ends of the detection pipe are connected with the connecting flange and coaxially distributed, the detection pipe, the booster pump, the water quality detector and the gas detector are all connected with the bearing keel through positioning clamps, a sampling port and a drain outlet are formed in the side wall of the detection pipe, the control valve is arranged at the sampling port and the drain outlet, the sampling port is communicated with the drainage branch pipe through the control valve, the drainage branch pipe is communicated with the water quality detector and the gas detector through the control valve, the water quality detector and the gas detector are connected in parallel, the temperature and humidity sensor, the flow, Velocity of flow sensor, pressure sensor encircle the test tube axis equipartition to with test tube internal surface connection, the filter screen inlays in the test tube, with the coaxial distribution of test tube and through spout and test tube internal surface sliding connection, just the filter screen is located position between drain and the test tube egress opening, the test tube egress opening passes through flange and booster pump intercommunication, booster pump, water quality testing appearance, gas detection appearance, temperature and humidity sensor, flow sensor, velocity of flow sensor, pressure sensor, foam maker and control valve all with drive circuit electrical connection.
Furthermore, the detection tube is externally provided with a flexible protective sleeve which is coaxially distributed with the detection tube, two ends of the flexible protective sleeve are respectively connected with the connecting flanges at two ends of the detection tube, an assembly cavity with the width of 5-50 mm is arranged between the detection tube and the flexible protective sleeve, and the driving circuit is embedded in the assembly cavity and is connected with the outer surface of the detection tube.
Furthermore, the driving circuit is a circuit system based on any one of a DSP chip and an FPGA chip, the driving circuit is additionally provided with a data communication module, a wiring terminal, a communication terminal and a communication antenna, wherein the wiring terminal, the communication terminal and the communication antenna are all connected with the bearing keel, the data communication module is electrically connected with the communication terminal and the communication antenna respectively, and the driving circuit is electrically connected with a wire through the wiring terminal and is in data connection with the intelligent communication gateway through the communication terminal and the communication antenna.
Furthermore, the field data acquisition terminal and the remote monitoring terminal are both circuit systems based on an industrial computer, and the field data acquisition terminal and the remote monitoring terminal are additionally provided with an internet-of-things controller.
Furthermore, the remote monitoring terminal adopts a main program system based on an SOA system, and simultaneously is provided with a nested architecture BP neural network system adopting a C/S structure and a B/S structure, and a deep learning neural network system based on an LSTM intelligent prediction system cooperatively operating with the BP neural network system.
A monitoring method of a smart fluid transportation monitoring system of a weak current intensive pipe network comprises the following steps:
s1, laying monitoring networks, selecting a plurality of monitoring points on the pipe network according to the pipe network laying structure when carrying out the operation of the conveying pipe network, embedding the conveying pipelines related to the monitoring point position pipe network into a bearing rack, distributing the conveying pipelines in parallel with the axis of the bearing rack and connecting the conveying pipelines with a bearing keel of the bearing rack through a positioning hoop, arranging at least one connecting port between the conveying pipelines embedded into the bearing rack, communicating the connecting ports between the two conveying pipelines through a monitor, arranging at least one field data acquisition terminal at the pipe network laying position, connecting the field data acquisition terminal with each monitor to form at least one field monitoring local area network, and finally establishing connection between each monitoring local area network and a remote monitoring terminal through an intelligent communication gateway, thus completing the construction of a monitoring system;
s2, performing supervision operation on a pipe network, after the step S1 is completed, when material conveying operation is performed through the pipe network, when media in a pipeline pass through the conveying pipe at each monitoring point, the media in the conveying pipe are sequentially detected through each monitor, and during detection operation, on one hand, the media in the conveying pipe are sampled through a control valve, and the components of the sampled media are detected through a water quality detector and a gas detector; on the other hand, temperature, humidity, flow speed and conveying pressure during medium conveying are detected through a temperature and humidity sensor, a flow speed sensor and a pressure sensor, finally, detection parameters of the temperature and humidity sensor, the flow speed sensor, the pressure sensor, a water quality detector and a gas detector are summarized, then, the last parameters are sent to a field data acquisition terminal through an intelligent communication gateway, finally, the field data acquisition terminal drives a booster pump to perform pressure regulation and foaming operation on the medium according to feedback parameters, meanwhile, a maintenance scheme is formulated according to detection results, and the filter screen is cleaned regularly; and on the other hand, the acquired data is fed back to the remote monitoring terminal, the remote monitoring terminal monitors and analyzes the medium conveying state, simultaneously sends a regulation and control command to the field data acquisition terminal according to the analysis result, and then adjusts the medium of each monitor through the field data acquisition terminal.
Further, in the step S2, when the remote monitoring terminal analyzes and processes the field data acquisition terminal, the deep learning neural network system in the remote monitoring terminal is used to perform deep learning on the acquired data, and an autonomous regulation and control operation database is generated for standby.
Compared with the traditional pipe network monitoring system, on one hand, the invention effectively simplifies the structure of the monitoring system, improves the environmental adaptability and the use flexibility of the monitoring system, and can effectively meet the requirements of the matching operation of various kinds of fluid medium conveying pipe network equipment; on the other hand, the operation monitoring of the pipe network is comprehensive, the control automation and the intelligent degree are high, the working efficiency and the precision of the operation of the pipe network system can be effectively improved, the manual operation and the implementation amount can be reduced, and the labor intensity and the operation cost of the pipe network monitoring operation can be effectively reduced.
Drawings
The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a top view partially in section and schematically illustrating the structure of the present invention;
FIG. 3 is a schematic view of a monitor structure;
FIG. 4 is a schematic diagram of the electrical system for operation of the present invention;
FIG. 5 is a flow chart illustrating a method of using the present invention.
The reference numbers in the figures: the system comprises a bearing rack 1, a monitor 2, a field data acquisition terminal 3, an intelligent communication gateway 4, a remote monitoring terminal 5, a monitoring camera 6, a driving guide rail 7, a turntable mechanism 8, a positioning seat 101, a bearing keel 102, a positioning clamp 103, a wiring groove 104, a protective panel 105, a grounding electrode 106, a sliding rail 107, a pressure sensor 108, a connecting flange 21, a detection pipe 22, a booster pump 23, a drainage branch pipe 24, a water quality detector 25, a gas detector 26, a temperature and humidity sensor 27, a flow sensor 28, a flow rate sensor 29, a filter screen 201, an irradiation inactivation device 202, a control valve 203, a driving circuit 204, a sampling port 205, a sewage outlet 206, a foam maker 207, a flexible sheath pipe 208, an assembly cavity 209, a wiring terminal 2041, a communication terminal 2042 and a communication antenna 2043.
Detailed Description
In order to facilitate the implementation of the technical means, creation features, achievement of the purpose and the efficacy of the invention, the invention is further described below with reference to specific embodiments.
The intelligent fluid transportation monitoring system of the weak current intensive pipe network comprises a bearing rack 1, monitors 2, field data acquisition terminals 3, intelligent communication gateways 4 and remote monitoring terminals 5, wherein the bearing rack 1 is a columnar frame structure with the axis parallel to the ground plane, a plurality of the monitors 2 are embedded in the bearing rack 1 and coaxially distributed with the bearing rack 1, the monitors 2 are uniformly distributed along the axis direction of the bearing rack 1, the monitors 2 are mutually connected in parallel, on one hand, the monitors are electrically connected with the field data acquisition terminals 3 through power leads, on the other hand, the monitors are connected with the field data acquisition terminals 3 through the intelligent communication gateways 4, at least one intelligent communication gateway 4 is provided, one remote monitoring terminal 5 is provided, and the intelligent communication gateway 4 and the remote monitoring terminals 5 are both communicated with an external power supply system through leads, the intelligent communication gateway 4 establishes data connection with the remote monitoring terminal 5.
In this embodiment, the bearing rack 1 includes a positioning seat 101, a bearing keel 102, a positioning clamp 103, a wiring groove 104, a protective panel 105 and a ground electrode 106, the bearing keel 102 is a frame structure with an axis parallel to a ground plane, a lower end surface of the bearing keel 102 is connected with a plurality of positioning seats 101, the positioning seats 101 are uniformly distributed along the axis of the bearing keel 102, a plurality of the positioning clamps 103 are embedded in the bearing keel 102, are slidably connected with an inner surface of the bearing keel 102 through a sliding rail 107 and are uniformly distributed along the axis of the bearing keel 102, an included angle of 0-90 degrees is formed between the axis of the sliding rail 107 and the axis of the bearing keel 102 and are connected with the bearing keel 102 through a pressure sensor 108, the monitor 2 is embedded in the bearing keel 102, is coaxially distributed with the positioning seats 101 through the positioning clamps 103 and is uniformly distributed along the axis of the bearing keel 102, the cladding is at the surface of bearing fossil fragments 102 to constitute closed cavity structure with bearing fossil fragments 102, wiring groove 104 and protection panel 105 internal surface connection, and in wire rule wiring groove 104, ground electrode 106 at least, with location base 101 lower terminal surface be connected, and ground electrode 106 lower terminal surface inserts in the plane, ground electrode 106, pressure sensor 108 all are connected with on-the-spot data acquisition terminal 3 electricity.
The bearing keel 102 is internally additionally provided with a monitoring camera 6, the monitoring camera 6 is in sliding connection with the side surface of the bearing keel 102 through a driving guide rail 7, the monitoring camera 6 is in sliding connection with the driving guide rail 7 through a rotary table mechanism 8, the optical axis of the monitoring camera 6 is intersected with the axis of the bearing keel 102 and forms an included angle of 10-90 degrees, and the monitoring camera 6, the driving guide rail 7 and the rotary table mechanism 8 are all electrically connected with the field data acquisition terminal 3.
Preferably, the supporting keel 102 is any one of u-shaped, isosceles trapezoid and circular ring-shaped structure with a cross-section in a shape of "mouth".
It is emphasized that the monitor 2 includes a connecting flange 21, a detecting tube 22, a booster pump 23, a branch drainage tube 24, a water quality detector 25, a gas detector 26, a temperature and humidity sensor 27, a flow sensor 28, a flow rate sensor 29, a pressure sensor 108, a foam maker 207, a filter screen 201, an irradiation inactivation device 202, a control valve 203 and a driving circuit 204, two ends of the detecting tube 22 are connected with the connecting flange 21 and coaxially distributed, the detecting tube 22, the booster pump 23, the water quality detector 25 and the gas detector 26 are all connected with the bearing keel 102 through a positioning clamp 103, a sampling port 205 and a sewage outlet 206 are arranged on the side wall of the detecting tube 22, the control valve 203 is arranged at the sampling port 205 and the sewage outlet 206, the sampling port 205 is communicated with the branch drainage tube 24 through the control valve 203, and the branch drainage tube 24 is further communicated with the water quality detector 25 and the gas detector 26 through the control valve 203, and water quality testing appearance 25, gas detection appearance 26 are parallelly connected each other, temperature and humidity sensor 27, flow sensor 28, velocity of flow sensor 29, pressure sensor 108 encircle the detecting tube 22 axis equipartition to with detecting tube 22 internal surface connection, filter screen 201 inlays in detecting tube 22, with detecting tube 22 coaxial distribution and through spout 204 and detecting tube 22 internal surface sliding connection, just filter screen 201 is located position between drain 206 and the detecting tube 22 egress opening, detecting tube 22 egress opening passes through flange 21 and booster pump 23 intercommunication, booster pump 23, water quality testing appearance 25, gas detection appearance 26, temperature and humidity sensor 27, flow sensor 28, velocity of flow sensor 29, pressure sensor 108, foam maker 207 and control valve 203 all with drive circuit 204 electrical connection.
Meanwhile, a flexible protecting sleeve 208 which is coaxially distributed with the detection tube 22 is arranged outside the detection tube 22, two ends of the flexible protecting sleeve 208 are respectively connected with the connecting flanges 21 at two ends of the detection tube 22, an assembly cavity 209 with the width of 5-50 mm is arranged between the detection tube 22 and the flexible protecting sleeve 208, and the driving circuit 204 is embedded in the assembly cavity 209 and is connected with the outer surface of the detection tube 22.
In addition, the driving circuit 204 is a circuit system based on any one of a DSP chip and an FPGA chip, the driving circuit 204 is further provided with a data communication module, a connection terminal 2041, a communication terminal 2042 and a communication antenna 2043, wherein the connection terminal 2041, the communication terminal 2042 and the communication antenna 2043 are all connected to the bearing keel 102, the data communication module is further electrically connected to the communication terminal 2042 and the communication antenna 2043, respectively, the driving circuit 204 is electrically connected to a wire through the connection terminal 2041, and establishes data connection with the intelligent communication gateway 4 through the communication terminal 2042 and the communication antenna 2043.
In this embodiment, the field data collecting terminal 3 and the remote monitoring terminal 5 are both industrial computer-based circuit systems, and the field data collecting terminal 3 and the remote monitoring terminal 5 are additionally provided with internet-of-things controllers.
It should be noted that the remote monitoring terminal 5 adopts a main program system based on an SOA system, and simultaneously, a nested BP neural network system adopting a C/S structure and a B/S structure and a deep learning neural network system based on an LSTM intelligent prediction system cooperatively operating with the BP neural network system are arranged.
As shown in fig. 5, a monitoring method of an intelligent fluid transportation monitoring system for a weak current intensive pipe network includes the following steps:
s1, laying monitoring networks, selecting a plurality of monitoring points on a pipe network according to the pipe network laying structure when carrying out pipe network operation, embedding conveying pipelines related to the monitoring point position pipe network into a bearing rack 1, distributing the conveying pipelines in parallel with the axis of the bearing rack 1, connecting the conveying pipelines with a bearing keel 102 of the bearing rack 1 through a positioning hoop 103, arranging at least one connecting port between the conveying pipelines embedded into the bearing rack 1, communicating the connecting ports between the two conveying pipelines through monitors 2, arranging at least one field data acquisition terminal 3 at the pipe network laying position, connecting the field data acquisition terminal 3 with each monitor 2 to form at least one field monitoring local area network, and finally establishing connection between each monitoring local area network and a remote monitoring terminal 5 through an intelligent communication gateway 4, namely completing the construction of a monitoring system;
s2, performing pipe network supervision operation, after the step S1 is completed, when material conveying operation is performed through the pipe network, when media in the pipeline pass through the conveying pipes at the monitoring points, the media in the conveying pipes are sequentially detected through the monitors 2, and when detection operation is performed, on one hand, the media in the conveying pipes are sampled through the control valve 203, and the sampled media are subjected to component detection through the water quality detector 25 and the gas detector 26; on the other hand, the temperature, humidity, flow rate and conveying pressure of the medium during conveying are detected through the temperature and humidity sensor 27, the flow sensor 28, the flow rate sensor 29 and the pressure sensor 108, finally, the detection parameters of the temperature and humidity sensor 27, the flow sensor 28, the flow rate sensor 29, the pressure sensor 108, the water quality detector 25 and the gas detector 26 are summarized, then, the last parameters are sent to the field data acquisition terminal 3 through the intelligent communication gateway 4, finally, the field data acquisition terminal 3 drives the booster pump 23 to perform pressure regulation and foaming operation on the medium according to the feedback parameters on the one hand, meanwhile, a maintenance scheme is formulated according to the detection result, and the filter screen 201 is cleaned regularly; on the other hand, the collected data are fed back to the remote monitoring terminal 5, the remote monitoring terminal 5 monitors and analyzes the medium conveying state, meanwhile, a regulation and control command is sent to the field data collecting terminal 3 according to the analysis result, and then the field data collecting terminal 3 adjusts the medium of each monitor 2.
In this embodiment, in the step S2, when the remote monitoring terminal 5 analyzes and processes the field data collecting terminal 3, the deep learning neural network system in the remote monitoring terminal 5 is used to perform deep learning on the collected data, and generate the autonomous control operation database for standby.
In the specific implementation of the invention:
the monitoring camera can reciprocate along the bearing keel under the driving action of the driving guide rail, so that the aim of realizing the operation state inspection operation on the bearing keel and each device connected with the bearing keel is fulfilled;
the positioning clamp is connected with the inner surface of the bearing keel through the slide rail, so that the convenience of the installation, the removal and the maintenance of the positioning clamp can be effectively improved; on the other hand, the working positions of the positioning clamp and the positioning clamp connection device can be flexibly adjusted according to the use requirement in the actual work, and the flexibility and the reliability of the operation of the invention are further improved.
Compared with the traditional pipe network monitoring system, on one hand, the invention effectively simplifies the structure of the monitoring system, improves the environmental adaptability and the use flexibility of the monitoring system, and can effectively meet the requirements of the matching operation of various kinds of fluid medium conveying pipe network equipment; on the other hand, the operation monitoring of the pipe network is comprehensive, the control automation and the intelligent degree are high, the working efficiency and the precision of the operation of the pipe network system can be effectively improved, the manual operation and the implementation amount can be reduced, and the labor intensity and the operation cost of the pipe network monitoring operation can be effectively reduced.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a weak current intensification pipe network wisdom fluid transportation monitored control system which characterized in that: the intelligent communication system comprises a bearing rack (1), a plurality of monitors (2), a field data acquisition terminal (3), intelligent communication gateways (4) and remote monitoring terminals (5), wherein the bearing rack (1) is a columnar frame structure with an axis parallel to a ground plane, the monitors (2) are embedded in the bearing rack (1) and coaxially distributed with the bearing rack (1), the monitors (2) are uniformly distributed along the axis direction of the bearing rack (1), the monitors (2) are mutually connected in parallel and electrically connected with the field data acquisition terminal (3) through power leads, data connection is established between the intelligent communication gateways (4) and the field data acquisition terminal (3), at least one intelligent communication gateway (4) is provided, one remote monitoring terminal (5) is provided, and the intelligent communication gateway (4) and the remote monitoring terminals (5) are both communicated with an external power supply system through leads, the intelligent communication gateway (4) is in data connection with the remote monitoring terminal (5).
2. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 1, wherein: the bearing rack (1) comprises a positioning seat (101), a bearing keel (102), a positioning clamp (103), a wiring groove (104), a protective panel (105) and a grounding electrode (106), wherein the bearing keel (102) is of a frame structure with an axis parallel to a ground plane, the lower end face of the bearing keel is connected with a plurality of positioning seats (101), the positioning seats (101) are uniformly distributed along the axis direction of the bearing keel (102), the positioning clamp (103) is embedded in the bearing keel (102) and is in sliding connection with the inner surface of the bearing keel (102) through a sliding rail (107) and uniformly distributed along the axis direction of the bearing keel (102), the axis of the sliding rail (107) and the axis of the bearing keel (102) form an included angle of 0-90 degrees and are connected with the bearing keel (102) through a pressure sensor (108), a monitor (2) is embedded in the bearing keel (102), and is coaxially distributed with the positioning seat (101) through the positioning clamp (103) and is distributed along the axis direction of the bearing keel ( The equipartition, protection panel (105) are a plurality of, and the cladding is at bearing fossil fragments (102) surface to constitute closed cavity structure with bearing fossil fragments (102), wiring groove (104) and protection panel (105) internal surface connection, and in wire rule wiring groove (104), grounding electrode (106) at least one, with the location base under the terminal surface be connected, and grounding electrode (106) under the terminal surface insert in the ground plane, grounding electrode (106), pressure sensor (108) all with on-the-spot data acquisition terminal (3) electrical connection.
3. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 2, wherein: a monitoring camera (6) is additionally arranged in the bearing keel (102), the monitoring camera (6) is in sliding connection with the side surface of the bearing keel (102) through a driving guide rail (7), the monitoring camera (6) is in sliding connection with the driving guide rail (7) through a turntable mechanism (8), the optical axis of the monitoring camera (6) is intersected with the axis of the bearing keel (102) and forms an included angle of 10-90 degrees, and the monitoring camera (6), the driving guide rail (7) and the turntable mechanism (8) are all electrically connected with the field data acquisition terminal (3); and the bearing keel (102) is in any one of U-shaped, isosceles trapezoid and circular ring structures with the cross section in the shape of a mouth.
4. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 1, wherein: the monitor (2) comprises a connecting flange (21), a detection pipe (22), a booster pump (23), a drainage branch pipe (24), a water quality detector (25), a gas detector (26), a temperature and humidity sensor (27), a flow sensor (28), a flow velocity sensor (29), a pressure sensor (108), a foamer (207), a filter screen (201), an irradiation inactivation device (202), a control valve (203) and a driving circuit (204), wherein two ends of the detection pipe (22) are connected with the connecting flange (21) and coaxially distributed, the detection pipe (22), the booster pump (23), the water quality detector (25) and the gas detector (26) are all connected with a bearing keel (102) through a positioning clamp (103), a sampling port (205) and a sewage draining port (206) are arranged on the side wall of the detection pipe (22), the control valve (203) is arranged at the sampling port (205) and the sewage draining port (206), the sampling port (205) is communicated with the drainage branch pipe (24) through the control valve (203), the drainage branch pipe (24) is communicated with the water quality detector (25) and the gas detector (26) through the control valve (203), the water quality detector (25) and the gas detector (26) are connected in parallel, the temperature and humidity sensor (27), the flow sensor (28), the flow velocity sensor (29) and the pressure sensor (108) are uniformly distributed around the axis of the detection pipe (22) and are connected with the inner surface of the detection pipe (22), the filter screen (201) is embedded in the detection pipe (22) and is coaxially distributed with the detection pipe (22) and is connected with the inner surface of the detection pipe (22) in a sliding mode through a sliding groove, the filter screen (201) is located between the drain outlet (206) and the outlet of the detection pipe (22), the outlet of the detection pipe (22) is communicated with the booster pump (23) through the connecting flange (21), the booster pump (23), the water quality detector (25), the gas detector (26), the temperature and humidity sensor (27), the flow sensor (28), the flow velocity sensor (29), the pressure sensor (108), the foam maker (207) and the control valve (203) are electrically connected with the driving circuit (204).
5. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 4, wherein: detect pipe (22) peripheral hardware and flexible protecting pipe (208) that detect pipe (22) coaxial distribution, flexible protecting pipe (208) both ends are connected with flange (21) that detect pipe (22) both ends position respectively, and detect pipe (22) and flexible protecting pipe (208) within a definite time and establish assembly chamber (209) that the width is 5-50 millimeters, drive circuit (204) inlay in assembly chamber (209) and with detect pipe (22) surface connection.
6. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 4, wherein: the drive circuit (204) is a circuit system based on any one of a DSP chip and an FPGA chip, the drive circuit (204) is additionally provided with a data communication module, a wiring terminal (2041), a communication terminal (2042) and a communication antenna (2043), wherein the wiring terminal (2041), the communication terminal (2042) and the communication antenna (2043) are all connected with the bearing keel (102), the data communication module is electrically connected with the communication terminal (2042) and the communication antenna (2043) respectively, the drive circuit (204) is electrically connected with a wire through the wiring terminal (2041), and data connection is established with the intelligent communication gateway (4) through the communication terminal (2042) and the communication antenna (2043).
7. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 1, wherein: the field data acquisition terminal (3) and the remote monitoring terminal (5) are both circuit systems based on an industrial computer, and the field data acquisition terminal (3) and the remote monitoring terminal (5) are additionally provided with an internet-of-things controller.
8. The smart fluid transportation monitoring system for the weak current intensive pipe network of claim 1, wherein: the remote monitoring terminal (5) adopts a main program system based on an SOA system, and is simultaneously provided with a nested architecture BP neural network system adopting a C/S structure and a B/S structure, and a deep learning neural network system based on an LSTM intelligent prediction system cooperatively operating with the BP neural network system.
9. The monitoring method of the smart fluid transportation monitoring system of the weak current intensive pipe network according to any one of claims 1 to 8, characterized by comprising the following steps:
s1, laying monitoring networks, when carrying out the operation of the conveying pipe network, selecting a plurality of monitoring points on the pipe network according to the pipe network laying structure, then embedding the conveying pipelines related to the monitoring point position pipe network into the bearing rack (1), distributing the conveying pipelines in parallel with the axis of the bearing rack (1), connecting the conveying pipelines with the bearing keel (102) of the bearing rack (1) through a positioning hoop (103), arranging at least one connecting port between the conveying pipelines embedded in the bearing rack (1), communicating the connecting ports between the two conveying pipelines through monitors (2), arranging at least one field data acquisition terminal (3) at the pipe network laying position, connecting the field data acquisition terminal (3) with each monitor (2) to form at least one field monitoring local area network, and finally establishing connection between each monitoring local area network and a remote monitoring terminal (5) through an intelligent communication gateway (4), the construction of the monitoring system can be completed;
s2, monitoring operation of a pipe network, after S1 is completed, when material conveying operation is carried out through the pipe network, when media in a pipeline pass through the conveying pipe at each monitoring point, the media in the conveying pipe are sequentially detected through each monitor (2), when detection operation is carried out, the media in the conveying pipe are sampled through a control valve (203), and the sampled media are subjected to component detection through a water quality detector (25) and a gas detector (26); temperature, humidity, flow speed and conveying pressure during medium conveying are detected through a temperature and humidity sensor (27), a flow sensor (28), a flow speed sensor (29) and a pressure sensor (108), detection parameters of the temperature and humidity sensor (27), the flow sensor (28), the flow speed sensor (29), the pressure sensor (108), a water quality detector (25) and a gas detector (26) are summarized, the final parameters are sent to a field data acquisition terminal (3) through an intelligent communication gateway (4), finally, a booster pump (23) is driven by the field data acquisition terminal (3) to carry out pressure regulation and foaming operation on the medium according to feedback parameters, meanwhile, a maintenance scheme is formulated according to detection results, and a filter screen (201) is cleaned regularly; the collected data are fed back to the remote monitoring terminal (5), the remote monitoring terminal (5) monitors and analyzes the medium conveying state, meanwhile, a regulation and control command is sent to the field data collecting terminal (3) according to an analysis result, and then each monitor (2) is adjusted through the field data collecting terminal (3).
10. The monitoring method of the smart fluid transportation monitoring system of the weak current intensive pipe network of claim 9, wherein: in the step S2, when the remote monitoring terminal (5) analyzes and processes the field data acquisition terminal (3), the deep learning neural network system in the remote monitoring terminal (5) performs deep learning on the acquired data, and generates an autonomous regulation and control operation database for standby.
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