CN109032007B - Wave dissipation system based on Internet of things - Google Patents
Wave dissipation system based on Internet of things Download PDFInfo
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- CN109032007B CN109032007B CN201810743535.6A CN201810743535A CN109032007B CN 109032007 B CN109032007 B CN 109032007B CN 201810743535 A CN201810743535 A CN 201810743535A CN 109032007 B CN109032007 B CN 109032007B
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- G05B19/00—Programme-control systems
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Abstract
The invention discloses a wave-dissipating system based on the Internet of things, which comprises: the wave-eliminating networks in a plurality of areas comprise wave-eliminating equipment and an equipment control device; the equipment control device comprises a power supply module, a sensor module, an abnormality detection module, a main control module, a communication module and a scheduling control module, and is used for uploading water level and wave height data acquired by the sensor module and wave dissipation equipment operation data detected by the abnormality detection module, and receiving scheduling control instructions to output so as to drive the wave dissipation equipment to operate; the server is used for receiving and displaying data and judging whether the wave-dissipating equipment is abnormal or not and giving early warning; and generating a scheduling control instruction to the corresponding wave-dissipating network; the cloud platform is used for establishing a wave-dissipating capacity evaluation index of the wave-dissipating equipment in advance and obtaining an equipment scheduling scheme; and selecting a scheduling scheme of the needed wave-dissipating equipment and sending the scheduling scheme to the server. The invention can reduce the elutriation of waves to the revetment, protect the safety performance of the revetment project and the protection area thereof, improve the wave-eliminating performance and realize the intelligent wave-eliminating function.
Description
Technical Field
The invention relates to a wave dissipating system based on the Internet of things, and belongs to the technical field of bank protection and wave dissipating.
Background
At present, the waterfront space is an important link for preventing natural flood disasters. In the 20 s of the first century of the public yuan, the embankment project has been developed in the southeast coastal region which is deeply affected by typhoon disasters, and the seawall is built in the ancient and coin pond county. With the development of history, people in coastal areas of China continuously build and perfect embankment projects, and the embankment projects gradually become flood control embankments, sea embankments and revetment projects of today. With the increasing prosperity of agriculture, aquaculture, water transportation and water trade in recent years, as well as the needs of shoal reclamation and land reclamation, the construction of embankment and bank protection engineering has become an important means and measure for the development and production of coastal areas.
However, the revetment project is also corroded and washed by the hydraulic destructive action of waves, water flows, storm tides and the like, which are defended objects, and if improper protection is adopted, the revetment may be punished by nature. The wave disaster is difficult to cause dangerous situations such as wave washing, bank collapse, landslide and the like, and great threat is brought to social and economic development and life safety of people. The existing solution is only to have ecological bank protection and engineering bank protection. The planting of ecological bank protection is greatly limited by the environment, the planting rate is greatly influenced by various factors such as the climate environment and the like, the manufacturers of the current special wave-dissipating equipment for engineering bank protection are few, most enterprises concentrate on coastal areas, and the products mainly use wave-dissipating bricks. No matter the ecological bank protection or the engineering bank protection, the modernization technology is not introduced into the wave eliminating equipment, so that the intellectualization of the wave eliminating equipment is realized.
With the continuous progress of economic society, the rapid development of information technology and the overall promotion of water conservancy projects in recent years, water conservancy informatization is deepened gradually. The intelligent water conservancy is a development direction advocated by the state, an intelligent wave dissipating system based on the Internet of things is constructed based on the technical means of the Internet of things, cloud computing, big data and the like by taking dangerous situations of wave washing, bank segment bank collapse, bank landslide and the like of bank protection engineering as backgrounds, flood disaster loss is avoided and reduced scientifically, reasonably and intelligently, the problems are solved, and the intelligent water conservancy has a wide development prospect.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a wave dissipating system based on the Internet of things, and solves the problems that the existing wave dissipating equipment cannot be intelligently controlled by combining the Internet of things, so that the wave dissipating efficiency is low and the management is inconvenient.
The invention specifically adopts the following technical scheme to solve the technical problems:
a wave eliminating system based on the Internet of things comprises:
the wave-breaking network comprises a plurality of wave-breaking devices and a device control device; each wave dissipating device is arranged on the water surface and is in communication connection with the device control device; the equipment control device comprises a power supply module, a sensor module, an abnormality detection module, a main control module, a communication module and a scheduling control module, wherein the power supply module is used for supplying power to the device; the control module is used for outputting a first control signal to drive each wave dissipating device to move to a water surface position, controlling the water level and wave height data acquired by the sensor module and the wave dissipating device operation data detected by the abnormality detection module to be uploaded through the communication module, receiving a scheduling control instruction sent by the server through the communication module, generating a second control signal according to the control instruction, and outputting the second control signal through the scheduling control module to drive the corresponding wave dissipating device to operate;
the server is used for receiving and displaying the water level and wave height data acquired by each wave dissipating network and the detected wave dissipating equipment operation data, judging whether the wave dissipating equipment is abnormal or not according to the wave dissipating equipment operation data, and giving an early warning when the abnormal condition is judged; the scheduling control module is used for receiving the wave-eliminating equipment scheduling scheme sent by the cloud platform and generating a scheduling control instruction to the corresponding wave-eliminating network according to the scheduling control scheme;
the cloud platform is used for establishing wave attenuation capability evaluation indexes of the wave attenuation equipment, which are composed of wave height data, wave attenuation coefficients, wave attenuation performance coefficients of the wave attenuation equipment and wave resistance of the revetment in advance, and combining the wave attenuation capability evaluation indexes of the wave attenuation equipment with scheduling cost to obtain a plurality of wave attenuation equipment scheduling schemes; and the scheduling method is used for counting the maximum wave height data according to the received water level and wave height data collected by each wave eliminating network, calculating to obtain a wave eliminating coefficient, mapping to a wave eliminating capability evaluation index of the wave eliminating equipment in combination with the wave eliminating performance of each wave eliminating node equipment, selecting a required wave eliminating equipment scheduling scheme from the wave eliminating equipment scheduling schemes in combination with the scheduling cost, and sending the selected wave eliminating equipment scheduling scheme to the server.
Further, as a preferred technical solution of the present invention: the abnormality detection module detects overvoltage, voltage loss and overcurrent parameters of three-phase power of the wave elimination equipment.
Further, as a preferred technical solution of the present invention: the dispatching control module comprises a dispatching module, and an alternating current transformer, a signal amplifier and a relay which are sequentially connected, wherein the dispatching module and the relay are respectively connected with the main control module.
Further, as a preferred technical solution of the present invention: the communication module comprises a local area network communication module, a wide area network communication module and an RS485 interface module.
Further, as a preferred technical solution of the present invention: the equipment control device also comprises a protection circuit module, wherein the protection circuit module is used for detecting the ambient temperature and inputting the detected ambient temperature into the main control module.
Further, as a preferred technical solution of the present invention: the equipment control device also comprises a storage module, wherein the storage module is used for storing water level and wave height data and wave-dissipating equipment operation data.
Further, as a preferred technical solution of the present invention: the server is also used for inquiring and obtaining the historical record report data of the wave eliminating equipment in each wave eliminating network, selecting the wave eliminating equipment according to the use frequency and uploading the wave eliminating equipment to the cloud platform.
Further, as a preferred technical solution of the present invention: the cloud platform calculates the wave absorption coefficient by adopting a formula:
wherein K is the wave absorption coefficient; h is0The incident wave height before the wave is dissipated by the wave-resistant forest; h is the wave height after the wave is dissipated by the wave-resistant forest.
By adopting the technical scheme, the invention can produce the following technical effects:
1. the intelligent wave dissipating system based on the Internet of things aims at dissipating waves through the intelligent cooperation of a plurality of wave dissipating devices, so that on one hand, the wave dissipating system can elastically meet the wave dissipating requirements, namely the wave dissipating requirements of high concurrency conditions at peak values are ensured, and the problem of waste of productivity at the valley value of wave dissipation is avoided; on the other hand, the problem that the wave-breaking system is limited by the beach condition is avoided by selecting various wave-breaking devices such as a suspension type structure, a placement type structure or a structural block and the like.
2. Firstly, calculating a minimum wave attenuation coefficient required by the current revetment according to the actually measured wave height and the wave resistance of the revetment, and then, combining wave attenuation capability evaluation systems of various wave attenuation devices, preferably selecting a scheduling scheme of the wave attenuation device, and meeting the required wave attenuation capability with the minimum scheduling cost; secondly, forecasting the demand of the wave dissipation equipment respectively counts the wave dissipation equipment with high use frequency and low use frequency of each section according to the use rate of various equipment and the use rate of various equipment combinations, forecasts the reserve condition of various wave dissipation equipment of each section based on big data, and the cloud platform exchanges and supplies the equipment among the sections according to the forecasting result to avoid the condition of surplus or shortage of the wave dissipation equipment.
3. The Internet of things terminal monitors the running condition and the residual electric quantity condition of equipment in real time and sends the early warning signal to the server in time, so that a decision maker can maintain and supplement a power supply in time, the wave dissipation device is ensured to run stably for a long time, and meanwhile, the inconvenience of manual patrol is reduced.
4. The intelligent wave-dissipating system based on the Internet of things can intelligently and efficiently reduce wind waves, reduce the wash of the waves to the revetment, the damage of typhoons to the shore vegetation zones and the secondary loss caused by the damage, protect the safety performance of the revetment project and the protection area thereof, improve the wave-dissipating performance and realize the intelligent wave-dissipating function.
Drawings
Fig. 1 is a schematic diagram of the wave-breaking system based on the internet of things.
FIG. 2 is a schematic structural diagram of the control device of the apparatus of the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings.
As shown in fig. 1, the invention designs a wave-breaking system based on the internet of things, which comprises a plurality of regional wave-breaking networks 4, a cloud platform 2 and a server 1. The regional wave-eliminating network is accessed to the network through the signal base station 3, and is in communication connection with the cloud platform 2 and the server 1 through the signal base station 3.
The plurality of regional wave-breaking networks 4, wherein each wave-breaking network comprises a plurality of wave-breaking devices such as A, B, C and a device control device; each wave dissipating device is arranged on the water surface and is in communication connection with the device control device; the device control apparatus, as shown in fig. 2, includes a power supply module, a sensor module, an anomaly detection module, a main control module, a communication module, and a scheduling control module, where the power supply module is used to supply power to the apparatus; the control module is used for outputting a first control signal to drive each wave dissipating device to move to a water surface position, controlling the water level and wave height data acquired by the sensor module and wave dissipating device operation data detected by the abnormality detection module to be uploaded to the server and the cloud platform through the communication module, receiving a scheduling control instruction sent by the server through the communication module, and generating a second control signal according to the scheduling control instruction to be output through the scheduling control module so as to drive the corresponding wave dissipating device to operate.
The server 1 is used for receiving and displaying the water level and wave height data acquired by each wave dissipating network and the detected wave dissipating equipment operation data, judging whether the wave dissipating equipment is abnormal or not according to the wave dissipating equipment operation data, and performing early warning when the abnormality is judged; and the scheduling control module is used for receiving the wave-breaking equipment scheduling scheme sent by the cloud platform and generating a scheduling control instruction to the corresponding wave-breaking network according to the scheduling control scheme.
The cloud platform 2 is used for establishing a wave attenuation capability evaluation index of the wave attenuation equipment consisting of wave height data, a wave attenuation coefficient, a wave attenuation performance coefficient of the wave attenuation equipment and wave resistance of the revetment in advance, and obtaining a wave attenuation equipment scheduling scheme by combining the wave attenuation capability evaluation index of the wave attenuation equipment with scheduling cost; and the scheduling method is used for counting the maximum wave height data according to the received water level and wave height data collected by each wave eliminating network, calculating to obtain a wave eliminating coefficient, mapping to a wave eliminating capability evaluation index of the wave eliminating equipment in combination with the wave eliminating performance of each wave eliminating node equipment, selecting a required wave eliminating equipment scheduling scheme from the wave eliminating equipment scheduling scheme in combination with the scheduling cost, and sending the wave eliminating equipment scheduling scheme to a server.
Specifically, the cloud platform calculates the maximum wave height data according to the uploaded wave height data, and then calculates the required minimum wave absorption coefficient according to the shore protection capability, namely the acceptable maximum wave height, through the following formula:
wherein, K is the wave absorption coefficient, and the unit is%; h is0The unit is m, which is the incident wave height before the wave is dissipated by the wave-resistant forest; h is the wave height after the wave is dissipated by the wave-resistant forest, and the unit is m. The larger the wave-absorbing coefficient is, the larger the attenuation degree of the vegetation to the waves is, namely the better the wave-absorbing effect of the wave-resistant forest is; conversely, the smaller the wave-absorbing coefficient is, the smaller the attenuation degree of the vegetation to the waves is, and the poorer the wave-absorbing effect of the wave-resisting forest is.
And then a plurality of feasible scheduling schemes are obtained according to the wave-dissipating performance of each wave-dissipating structure and the scheduling cost. For example, the wave-breaking equipment adopting the wave-breaking structure is A, B, C, the wave-breaking capacity alpha is 20%, 40% and 60%, the running cost beta is 50,100,200 yuan, and the minimum wave-breaking coefficient alpha is required0At 30%, the scheduling scheme one can be adopted: b; and a second scheduling scheme: c; again according to the preferred formula Y ═ β/α, then Y1 is 250 and Y2 is 333.33, so option one is transmitted to the server as the final scheduling scheme output.
The cloud platform optimizes a scheduling scheme of the wave dissipating equipment according to the received real-time uploaded data and by combining wave dissipating capacity evaluation indexes of the wave dissipating equipment and wave resisting capacity of the revetment, and the server control end sends a scheduling control instruction according to the received scheduling scheme to realize remote control and automatic management of the wave dissipating equipment; in addition, the server control end is also responsible for monitoring the running state of each wave dissipating device and the residual electric quantity condition of the power supply system in real time, and timely maintaining and ensuring normal running according to early warning.
In the wave-dissipating network of each region, the equipment control device can upload data and can perform wave-dissipating equipment scheduling mode control and current and voltage control.
The wave eliminating equipment can adopt a plurality of integrated rigid structures, rigid-flexible combined structures, suspended wave eliminating blocks, placed wave eliminating blocks and the like, the integrated wave eliminating structure is convenient to maintain, and the wave eliminating system is high in stability. And establishing a wave-dissipating capacity evaluation index according to a wave-dissipating coefficient obtained by comparing the wave height difference value before and after wave dissipation of a single wave-dissipating device with the initial incident wave height, and selecting various wave-dissipating devices according to local conditions to combine wave dissipation by combining factors such as economic cost, maintenance cost, terrain conditions and the like.
Preferably, the abnormality detection module in the device control apparatus detects overvoltage, no-voltage and overcurrent parameters of three-phase power of the wave elimination device, can monitor the operation condition and the residual condition of the electric quantity of the device in real time, and sends the early warning signal to the server in time, so that a decision maker can maintain and supplement the power supply in time, and inconvenience of manual patrol is reduced while the wave elimination device is ensured to operate stably for a long time.
The dispatching control module comprises a dispatching module, and an alternating current transformer, a signal amplifier and a relay which are sequentially connected, wherein the dispatching module and the relay are respectively connected with the main control module, the alternating current transformer is used for collecting the working current of the equipment, and the alternating current transformer, the signal amplifier and the relay are sequentially and electrically connected; the signal amplifier is also electrically connected with the main control chip. The relay controls a power supply line of the wave dissipation equipment, and the scheduling module controls a scheduling mode of the wave dissipation equipment. When the wave dissipation equipment breaks down, the working current is abnormal, after the alternating current transformer detects the working current, the main control chip sends an alarm signal to the server control end, and the relay is controlled to disconnect a power supply line and upload abnormal data to the server through the communication module. And when the scheduling is needed, receiving a scheduling control instruction sent by the server through the communication module, and accordingly generating a second control signal which is output to the connected wave dissipation equipment through the scheduling module so as to output and control the corresponding wave dissipation equipment to operate.
The communication module comprises a local area network communication module, a wide area network communication module and an RS485 interface module which are all electrically connected with the main control chip. The local area network communication module is used for forming a local area network by each wave eliminating device in the regional wave eliminating network in a wireless mode; the wide area network communication module is used for forming a local area network by wireless communication between the local area network and the signal base station, accessing the local area network into the internet and connecting the local area network with the server control end in a communication way. The local area network communication module adopts a 433 wireless module or a ZigBee module; the wide area network communication module adopts a GPRS module, a 4G module or an NB-IOT module.
The power supply module supplies power to each module through a solar power supply system, is electrically connected with the main control module, and when the fact that the residual electric quantity of the power supply device is lower than a preset threshold value is monitored, the main control chip sends an alarm signal to the server control end, the level of the alarm signal is increased along with the reduction of the electric quantity, and the threshold value is guaranteed to provide sufficient time for the supplementary battery, so that the normal work and the communication requirements of the regional wave-dissipating network of the Internet of things are guaranteed.
The device can also comprise a key control module and an indicator light, and is used for manual control, opening, closing, resetting and other operations, and the indicator light is used for displaying the working state and the electric quantity state of the wave-dissipating equipment; preferably, the protection circuit module sends an alarm signal to the server control end by detecting the ambient temperature and sending an alarm signal to the server control end by the main control module when the ambient temperature is too high; the storage module caches data received and processed by the main control module through a storage chip, wherein the data comprises stored water level and wave height data, wave-eliminating equipment operation data and the like.
The server can be connected with the wave-dissipating network through a wide area network and transmits the scheduling control instruction to the main control module of the equipment control device. The method can display all areas and equipment managed by a user in a list form, wherein each area comprises a plurality of wave-breaking equipment; selecting an area or device in the list may locate the location of the area or device; the control mode of the list submodule adopts a broadcast control mode and a single-point control mode: the broadcast control mode is to select an area and send out the same control instruction to all wave-eliminating equipment in the area; the single-point control mode is to select one wave eliminating device and control the wave eliminating device independently. The broadcast control mode is realized by a concentrator, and the concentrator in a certain area is operated, so that instructions can be sent to all devices in the area. The two modes respectively realize large-area unified control and single-point accurate control, and have strong flexibility. Through the method, the scheduling control instruction generated by the scheduling scheme of the wave-dissipating equipment is transmitted to the corresponding wave-dissipating network.
The server receives and displays the water level and wave height data acquired by each wave dissipating network and the detected wave dissipating equipment operation data, judges whether the wave dissipating equipment is abnormal or not according to the wave dissipating equipment operation data, and warns when the abnormality is judged; the alarm parameter setting is used for setting overvoltage, voltage loss and overcurrent parameters of three-phase power as references for sending alarm information. And the system is also used for inquiring and obtaining the historical record report data of the wave eliminating equipment in each wave eliminating network, selecting the wave eliminating equipment according to the use frequency and uploading the wave eliminating equipment to the cloud platform. And inquiring data of the utilization rate report, the built-in and external electric energy report, the ammeter historical record report and the controller ammeter record report. And uploading the data to a cloud platform, and analyzing by the cloud platform based on big data to obtain wave-dissipating equipment with the highest and lowest use frequencies in each area, and allocating the equipment among the areas to avoid the phenomenon of stock retention or vacancy, fully utilizing the wave-dissipating equipment and ensuring the continuous operation of a wave-dissipating system. For example, the success or the failure can be realized according to the alarm rate and the utilization rate of the wave eliminating equipment A, B, C. If the alarm rate and the utilization rate of the area A are low, extracting the wave-dissipating equipment A of the area A and controlling the wave-dissipating equipment A to dissipate waves; if the alarm rate of the area B is low and the utilization rate is high, the wave-eliminating equipment B in the area B is not selected, and other equipment with low utilization rate, such as A or C, is considered; the A area is surplus B to the B area, and the B area is surplus A to the A area.
The cloud platform stores water level and wave height data, responds to a scheduling scheme to generate a request, and is not started if the wave height data does not exceed the wave resistance of the revetment; and if the difference value of the actually measured wave height and the wave resistance is larger than the actually measured wave height, calculating the required minimum wave attenuation coefficient, and selecting the wave attenuation equipment combined scheduling scheme with the optimal cost performance under the condition of meeting the bank protection requirement by combining the wave attenuation capability evaluation indexes of all the wave attenuation equipment. And the cloud platform returns the scheduling result to the server control end, and the result is returned to the scheduling control module to drive the wave-dissipating equipment to operate after the decision maker agrees or fine-tunes the scheduling result.
In conclusion, the wave dissipation system based on the Internet of things can intelligently and efficiently reduce wind waves, reduce the wash of waves to the revetment, the damage of typhoons to the shore vegetation zones and the secondary loss caused by the damage, protect the safety performance of the revetment project and the protection area, improve the wave dissipation performance and realize the intelligent wave dissipation effect.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (8)
1. The utility model provides a unrestrained system disappears based on thing networking which characterized in that includes:
the wave-breaking network comprises a plurality of wave-breaking devices and a device control device; each wave dissipating device is arranged on the water surface and is in communication connection with the device control device; the equipment control device comprises a power supply module, a sensor module, an abnormality detection module, a main control module, a communication module and a scheduling control module, wherein the power supply module is used for supplying power to the device; the control module is used for outputting a first control signal to drive each wave dissipating device to move to a water surface position, controlling the water level and wave height data acquired by the sensor module and the wave dissipating device operation data detected by the abnormality detection module to be uploaded through the communication module, receiving a scheduling control instruction sent by the server through the communication module, generating a second control signal according to the control instruction, and outputting the second control signal through the scheduling control module to drive the corresponding wave dissipating device to operate;
the server is used for receiving and displaying the water level and wave height data acquired by each wave dissipating network and the detected wave dissipating equipment operation data, judging whether the wave dissipating equipment is abnormal or not according to the wave dissipating equipment operation data, and giving an early warning when the abnormal condition is judged; the scheduling control module is used for receiving the wave-eliminating equipment scheduling scheme sent by the cloud platform and generating a scheduling control instruction to the corresponding wave-eliminating network according to the scheduling control scheme;
the cloud platform is used for establishing wave attenuation capability evaluation indexes of the wave attenuation equipment, which are composed of wave height data, wave attenuation coefficients, wave attenuation performance coefficients of the wave attenuation equipment and wave resistance of the revetment in advance, and combining the wave attenuation capability evaluation indexes of the wave attenuation equipment with scheduling cost to obtain a plurality of wave attenuation equipment scheduling schemes; and the scheduling method is used for counting the maximum wave height data according to the received water level and wave height data collected by each wave eliminating network, calculating to obtain a wave eliminating coefficient, mapping to a wave eliminating capability evaluation index of the wave eliminating equipment in combination with the wave eliminating performance of each wave eliminating node equipment, selecting a required wave eliminating equipment scheduling scheme from the wave eliminating equipment scheduling schemes in combination with the scheduling cost, and sending the selected wave eliminating equipment scheduling scheme to the server.
2. The internet of things-based wave suppression system according to claim 1, wherein: the abnormality detection module detects overvoltage, voltage loss and overcurrent parameters of three-phase power of the wave elimination equipment.
3. The internet of things-based wave suppression system according to claim 1, wherein: the dispatching control module comprises a dispatching module, and an alternating current transformer, a signal amplifier and a relay which are sequentially connected, wherein the dispatching module and the relay are respectively connected with the main control module.
4. The internet of things-based wave suppression system according to claim 1, wherein: the communication module comprises a local area network communication module, a wide area network communication module and an RS485 interface module.
5. The internet of things-based wave suppression system according to claim 1, wherein: the equipment control device also comprises a protection circuit module, wherein the protection circuit module is used for detecting the ambient temperature and inputting the detected ambient temperature into the main control module.
6. The internet of things-based wave suppression system according to claim 1, wherein: the equipment control device also comprises a storage module, wherein the storage module is used for storing water level and wave height data and wave-dissipating equipment operation data.
7. The internet of things-based wave suppression system according to claim 1, wherein: the server is also used for inquiring and obtaining the historical record report data of the wave eliminating equipment in each wave eliminating network, selecting the wave eliminating equipment according to the use frequency and uploading the wave eliminating equipment to the cloud platform.
8. The internet of things-based wave suppression system according to claim 1, wherein: the cloud platform calculates the wave absorption coefficient by adopting a formula:
wherein K is the wave absorption coefficient; h is0The incident wave height before the wave is dissipated by the wave-resistant forest; h is the wave height after the wave is dissipated by the wave-resistant forest.
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| CN112286128A (en) * | 2020-09-21 | 2021-01-29 | 中船第九设计研究院工程有限公司 | Wave-absorbing bank human-computer interface model method |
| CN113204551B (en) * | 2021-04-30 | 2024-02-06 | 上海川河水利规划设计有限公司 | River levee revetment design method, system, intelligent terminal and storage medium |
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| CN109032007A (en) | 2018-12-18 |
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