CN115752480B - Sampling device management system and method based on Internet of things - Google Patents
Sampling device management system and method based on Internet of things Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a sampling device management system based on the Internet of things, and belongs to the technical field of water quality sampling management. The remote management system comprises a remote management end and a field detection end, wherein the remote management end is in communication connection with the field detection end; the field detection end comprises a field information acquisition module which is arranged beside the water quality sampler and used for acquiring environmental information around the water quality sampler and uploading the environmental information to the remote management end; the remote management end comprises a control module and a path planning module, the control module is in communication connection with the path planning module, the control module receives uploaded information, and the path planning module corrects a navigation path leading to the water quality sampler according to the environmental information around the water quality sampler received by the control module. Environmental information near the installation position of the water quality sampler is collected through multiple points to generate a route which bypasses an area which cannot pass through and can reach a target place without bypassing excessive deviation.
Description
Technical Field
The invention belongs to the technical field of water quality sampling management, and particularly relates to a sampling device management system based on the Internet of things.
Background
The water quality sampling is a necessary means for detecting the pollution degree of the natural water system, and a plurality of water quality samplers are arranged at different positions of the natural water system such as rivers and lakes, and each water quality sampler respectively selects a plurality of sampling times to sample for a plurality of times and then carries out comprehensive analysis to obtain the pollution degree of the natural water system, so that the environmental protection department carries out targeted treatment according to the monitoring condition.
However, because the natural water system has wide regions, in order to obtain more accurate detection results, the water quality samplers need to be widely distributed in the region of the natural water system, so that the distribution range of the water quality samplers is overlarge, the inspection frequency is insufficient, the inspection efficiency is low, the failed water quality samplers cannot be processed in time, and the overall detection results of the natural water system are affected.
And the installation position of the water quality sampler is positioned on the bank of rivers and lakes or in a shallow water area, is far away from road traffic which is not complete in urban areas, and cannot acquire detailed route information from a navigation map. In addition, the natural water system is affected by tide and the water level rises or falls frequently, and the route for reaching the detection point of each water quality sampler needs to be changed frequently along with the change of the environment. Therefore, there is a need for a sampling device management system based on the internet of things, which can remotely manage each water quality sampler, and can provide safe and clear navigation guidance for maintenance personnel when the maintenance personnel need to be dispatched.
Disclosure of Invention
The invention aims to provide a sampling device management system based on the Internet of things, which solves the problems that a water quality sampler installed in a field environment is inaccurate in navigation and positioning and the surrounding environment is unknown and can threaten the safety of maintenance personnel.
The invention is realized by the following technical scheme:
the sampling device management system based on the Internet of things comprises a remote management end and a field detection end, wherein the remote management end is in communication connection with the field detection end;
the field detection end comprises a field information acquisition module which is arranged beside the water quality sampler and used for acquiring environmental information around the water quality sampler and uploading the environmental information to the remote management end;
the remote management end comprises a control module and a path planning module, the control module is in communication connection with the path planning module, the control module receives uploaded information, and the path planning module corrects a navigation path leading to the water quality sampler according to the environmental information around the water quality sampler received by the control module.
Preferably, the system further comprises a mobile receiving end, wherein the mobile receiving end is in remote communication connection with the remote management end; the mobile receiving end is used for receiving and displaying the navigation path sent by the path planning module.
Preferably, the remote management end further comprises an alarm module, and the alarm module is respectively in communication connection with the control module and the mobile receiving end; the control module is in communication connection with the plurality of water quality samplers to obtain the running state of each water quality sampler, and the control module instructs the alarm module to send alarm information to the mobile receiving end when monitoring that the running state of any water quality sampler is abnormal.
Preferably, the field detection end further comprises a plurality of positioning modules, and the positioning modules are all in communication connection with the control module; the positioning modules are arranged on the water quality samplers in a one-to-one correspondence manner and used for acquiring positioning information of each water quality sampler and uploading the positioning information to the control module; and the control module sends the positioning information of the water quality sampler with abnormal running state to the mobile receiving end.
Preferably, corresponding field information acquisition modules are arranged beside any water quality sampler, each field information acquisition module uploads the environmental information around each water quality sampler to the control module, and the path planning module generates a navigation path diagram among the water quality samplers around the natural water system according to the environmental information around the water quality samplers received by the control module.
Preferably, the system further comprises a plurality of field information acquisition modules arranged on the connecting paths of the two adjacent water quality samplers, each field information acquisition module uploads the environmental information on the paths between the two adjacent water quality samplers to the control module, and the path planning module receives the environmental information on the paths between the two adjacent water quality samplers according to the control module to summarize and correct the navigation paths between the water quality samplers.
Preferably, the field information acquisition module is one of a rotatable monitoring camera, a video camera or a camera.
Preferably, the remote management end further comprises a management module, and the management module is used for being in communication connection with all the water quality samplers connected to the cloud.
Preferably, the remote management end is provided with an access port, and the mobile receiving end accesses the remote management end from the access port by scanning the two-dimensional code.
The sampling device management method based on the Internet of things is suitable for the sampling device management system based on the Internet of things, and comprises the following steps:
step one: selecting a target water quality sampler through a remote management end;
step two: navigation to obtain an initial path to a target water quality sampler;
step three: the field information acquisition module acquires and uploads environmental information around the target water quality sampler;
step four: the path planning module corrects the primary path acquired in the second step according to the surrounding environmental information of the target water quality sampler to acquire a corrected path;
step five: the maintenance personnel select necessary equipment according to the surrounding environment information of the target water quality sampler acquired in the third step, and rush to the target water quality sampler according to the correction path acquired in the fourth step.
The beneficial effects of the invention are as follows:
according to the sampling device management system and method based on the Internet of things, the environmental information near the installation position of the water quality sampler is collected through multiple points, the marking area capable of passing around the target water quality sampler and the marking area incapable of passing are generated, navigation deviation is corrected through the marking area, a route capable of reaching a target place without bypassing the non-passing area and without bypassing the excessively large deviation is provided, a navigation route updated in real time is provided in a field environment with rare human smoke to guide maintainers to the position of the target water quality sampler, the situation that the maintainers cannot find the target water quality sampler is avoided, the probability that the maintainers suffer accidental injury in the field environment due to lost directions is reduced, and the safety of the maintainers is ensured.
Drawings
Fig. 1 is a schematic diagram of a sampling device management system based on internet of things according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and examples.
As shown in fig. 1, an embodiment of the present invention provides a sampling device management system based on the internet of things, which includes a remote management end and a field detection end, wherein the remote management end and the field detection end are connected by a wireless communication module as a medium for remote communication.
The field in the field detection end is the position of the water quality sampler, and the field detection end comprises a field information acquisition module which is arranged near the water quality sampler and used for acquiring environmental information around the water quality sampler and uploading the environmental information to the remote management end. The environmental information around the water quality sampler comprises the water level fluctuation state of a natural water system, the thick degree of vegetation growth, whether the ground humidity is suitable for walking, whether beasts drink water nearby or other geographical threats.
The remote management end comprises a control module and a path planning module, wherein the control module is used as an operation and processing center of the management system and is responsible for data integration conversion and instruction release of the management system. In this embodiment, the control module may receive the environmental information uploaded by the field information acquisition module, and transmit the environmental information to the path planning module through the communication connection relationship between the control module and the path planning module. The path planning module can be connected with Beidou navigation to acquire an initial path reaching the target water quality sampler, then the initial path is corrected by combining the environmental information uploaded by the field information acquisition module, and an optimized route is selected for a maintainer to walk, so that the speed of the maintainer reaching the target water quality sampler is increased.
Before maintenance personnel start, dangerous situations or walking difficulty around the target water quality sampler can be judged through information acquired by the field information acquisition module, and proper equipment is selected for further start. The maintenance personnel are prevented from being interfered by environmental factors to influence the maintenance efficiency after arriving at the site. The causes of environmental interference include: the water quality sampler is covered by vegetation and is difficult to open, the ground around the water quality sampler is muddy and difficult to operate, beasts or venomous snakes are arranged nearby the water quality sampler, or other environmental factors which influence maintenance personnel to maintain the water quality sampler.
Because the water quality sampler needs to be arranged in the field to sample the water quality of a natural water system or an artificial ditch, the working position of the water quality sampler is far away from a city, the range of the natural water system is large, the situation of crossing provinces and cities often occurs, maintenance personnel need to be recruited or placed nearby, and the maintenance personnel are provided with a mobile receiving end so as to ensure that the maintenance personnel can acquire various information sent by a remote management end. Therefore, in one embodiment, the management system further includes a mobile receiving end, and the mobile receiving end and the remote management end are in remote communication connection through the wireless communication module. The mobile receiving end in this embodiment may be a smart phone, a tablet computer or other electronic devices capable of receiving data, displaying images and playing sound.
Because the operation data items of the water quality samplers are numerous, and the quantity of the water quality samplers installed when the natural water area is monitored in the whole domain is huge, the condition of missing report is easy to occur only by monitoring the operation states of a plurality of water quality samplers manually. Thus, in an embodiment, an alarm module is also installed at the remote management end, which alarm module is communicatively connected to the control module and the mobile receiving end, respectively. The control module is in communication connection with each water quality sampler to acquire the running state of each water quality sampler, compares the acquired running state of each water quality sampler with the standard running state one by one, screens out the water quality sampler with abnormal running state, binds and sends the information and an alarm instruction to the alarm module, and the alarm module alarms to a remote management end and a mobile receiving end, reminds a manager of the remote management end and a maintainer of the mobile receiving end of the water quality sampler with faults, and synchronously displays the information of the fault water quality sampler.
Because the water quality samplers are distributed in a large number of surrounding areas of the wild natural water system, the water quality samplers are required to be matched with a positioning function for the water quality samplers for the convenience of inspection and recovery. Therefore, in an embodiment, the on-site detection end further comprises a positioning module, each water quality sampler is provided with a positioning module, and the current coordinates of the water quality sampler matched with the positioning module are obtained by accessing the Beidou navigation system through the positioning module. And uploading the positioning coordinate information to the control module through the communication connection relation between the positioning module and the control module. When the control module discovers that the water quality sampler has abnormal running state, the positioning information, other equipment information and alarm instructions can be bundled and sent together, so that a manager of a remote management end or a maintainer of a mobile receiving end can intuitively acquire the positioning coordinates of the water quality sampler with the fault when receiving an alarm, and the positioning coordinates are accessed into Beidou navigation to acquire an initial path.
Because the field environment is complex, the path for maintainers to pass through can be changed sometimes due to the influence of seasons, weather, air temperature, rainfall and the like. And outdoor waste smoke is difficult to accurately update information only through Beidou navigation, so that the situation of wrong navigation paths often occurs, a maintainer is difficult to find a water quality sampler, and even serious conditions of the maintainer in the outdoor lost direction can be caused. Therefore, in an embodiment, a field information acquisition module is matched with each water quality sampler, the field information acquisition modules respectively collect the environmental information of the respective area, all the information is uploaded and then is converted by the control module and transmitted to the path planning module, the path planning module coordinates the environmental information uploaded by all the field information acquisition modules, and the influences of vegetation or muddy areas of the area where the natural water system is located on the travelling route are comprehensively compared and summarized into a state diagram of the area around the natural water system. And removing the non-passing path and searching a path convenient to walk. And corrects the preliminary path that has been acquired by navigation based on the information.
In addition to remote monitoring of the operation status of each water quality sampler, it is also necessary for an organization maintainer to carry out inspection to check whether the water quality sampler has a damaged structure or complete the work of collecting samples. This requires planning a path connecting the water quality samplers to speed up inspection and efficiency. Therefore, in an embodiment, not only the field information acquisition module is disposed near each water quality sampler, but also the field information acquisition module is disposed on the path between two adjacent water quality samplers to acquire the environmental information between the two adjacent water quality samplers. And uploading the environment information to the control terminal, and then carrying out overall planning by the path planning module, and integrating the information into the state diagram of the surrounding area of the natural water system in the embodiment to obtain more detailed information, so as to plan the optimal path which is safe, convenient to walk and avoids a large number of detours.
It should be noted that after the path planning module obtains a large amount of environmental information of multiple points, each piece of environmental information is classified and positioned according to the positioning coordinates of each water quality sampler, namely coordinate points are generated at corresponding coordinate positions on the navigation map, and then a region with a corresponding range is generated at the corresponding coordinate points on the navigation map according to the range of the environmental information which can be acquired by the on-site information acquisition module. And then, marking the dense and non-passing vegetation areas, the muddy and non-passing ground areas, the non-passing water level rising areas or the dangerous areas of the wild animals on the navigation map correspondingly according to the field environments displayed in the information. Because the field information acquisition module can cover a limited range, a plurality of small-range marking areas can be formed on the navigation map, and the situation that vegetation grows in whole sheets and flood covers the whole sheet areas in natural environment is combined, the path planning module judges a triangle range formed by interconnecting adjacent three non-passing marking areas as an avoiding range, plans a path bypassing the avoiding range on the navigation map, and enables the path to pass through the marking as a passing area as much as possible. By the method, a feasible path can be planned in real time in a field environment, and the conditions that maintenance personnel get lost, detour and are attacked by wild animals are reduced.
Based on the above embodiment, in order to enable the field information collecting module to obtain a wider range of environmental information, in an embodiment, the field information collecting module selects one of a rotatable monitoring camera, a camera mounted on a rotatable electric seat, or a camera mounted on a rotatable electric seat.
In order to meet the long-term endurance requirement in the field, a solar power supply structure can be additionally arranged on the field information acquisition module, and photovoltaic power generation is utilized to charge acquisition equipment.
Each field information acquisition module is in communication connection with the control module, and can be operated by a manager at a remote management end to control the field information acquisition module to perform rotation shooting, amplification shooting or wide-angle shooting, so that clearer and comprehensive field environment information is obtained.
In order to save cost, when the installation position of the field information acquisition module between two adjacent water quality samplers is planned, only representative key nodes can be selected for installation according to the topography and the topography of the field.
In order to save energy consumption, each field information acquisition module is normally in a closed state, and when inspection is required or a fault alarm of the water quality sampler appears, the control system controls the related field information acquisition module to start. After maintenance personnel acquire environmental information around the target water quality sampler through information uploaded by a field information acquisition module installed near the target water quality sampler, the maintenance personnel can select adaptive equipment to start in advance. In the path of maintenance personnel leaving the residence, the on-site information acquisition module acquires more sufficient environmental information, the path planning module plans a detailed path after approaching to the water quality sampler area, and guides the maintenance personnel to quickly and efficiently enter the area to find a target water quality sampler, or to carry out inspection or sample collection on all water quality samplers around the natural water system.
The equipment that illustrates the adaptation is: firewood knife for conveniently removing vegetation wound on water quality sampler through plating on muddy ground, cutting back of mantis, or other necessary field cleaningRemoval ofA means of impediment.
Because the conditions of confluence, branching, sewer communication and the like exist in rivers and lakes in the nature, the condition of inter-regional data intercommunication is often needed for comprehensively analyzing the pollution condition of natural water systems and tracing pollution sources, and the detection data of a plurality of natural water systems are summarized and uniformly analyzed. Therefore, in order to facilitate the detection of a single natural water system to be expanded to the joint detection of multiple natural water systems, in an embodiment, a management module is further arranged at a remote management end, the management module has the characteristic of high compatibility, all water quality samplers which can be connected into a cloud are connected into the management module for overall management, and detection data of different natural water systems are obtained, so that potential association among the multiple natural water systems can be found, and a pollution source can be traced accurately.
It should be noted that, the management module further has a function of managing all water quality samplers sold by manufacturers on the basis of the compatibility connection. All water quality samplers produced and sold by the same manufacturer and used can be connected into the management module, the running states of all water quality samplers are monitored through the management module, and if abnormal running occurs, maintenance personnel can be timely dispatched to carry out after-sales maintenance service, so that the product competitiveness is improved.
In order to further improve the compatibility of the management system, an access port is arranged at the remote management end in a mode of generating the two-dimensional code, so that maintenance personnel can access the remote management end through the code scanning of any type of smart phone, tablet personal computer or other similar electronic products, and the function and effect of the mobile receiving end are achieved. The compatibility of the remote management end to the mobile receiving end is widened, the access means is convenient and quick, the process of large-range cross-region management and maintenance personnel dispatching is simplified, the equipment requirement is reduced, and the working efficiency of the maintenance personnel is improved.
An embodiment of the present invention further provides a sampling device management method based on the internet of things, which is adapted to the sampling device management system based on the internet of things of the above embodiment, and includes the following steps:
step one: a plurality of water quality samplers are installed around a preset natural water system to be detected, and the installation positions and the intervals of the water quality samplers are executed according to the site topography and sampling requirements.
Step two: the water quality samplers are internally provided with positioning modules, and the field information acquisition modules are arranged in the nearby areas of the water quality samplers, so that the field information acquisition modules can shoot the areas where the water quality samplers are located and expand the coverage area as much as possible.
Step three: and (3) surveying the paths between two adjacent water quality samplers, searching representative terrain points, and installing a site information acquisition module at the sites to acquire the environmental information at the sites.
Step four: and all the water quality samplers and all the field information acquisition modules are in communication connection with a control module of a remote management end, so that the equipment installation step is completed.
Step five: the running state of each water quality sampler is obtained in real time through the control module, when the running state of any water quality sampler is abnormal, the control module binds and sends the equipment information, the positioning information and the alarm instruction of the water quality sampler to the alarm module, and the alarm module alarms and reminds an external display device of a remote management end and a mobile receiving end and synchronously displays the equipment information and the positioning information of the water quality sampler with faults in the alarm process.
Step six: defining a faulty water quality sampler as a target water quality sampler, selecting a maintainer closest to the target water quality sampler by a control system, acquiring positioning information of the maintainer, setting the positioning information of the target water quality sampler as an end point, setting the positioning information of the maintainer as a starting point, and generating an initial path for the maintainer to reach the position of the target water quality sampler by a navigation system.
Step seven: the control module sends instructions to each field information acquisition module in the surrounding area of the target water quality sampler, and each field information acquisition module starts to collect the surrounding environment information of the target water quality sampler and uploads the surrounding environment information to the control module.
Step eight: the path planning module correspondingly presents the regional environment information uploaded by each field information acquisition module on the navigation map, analyzes whether each piece of environment information has passing conditions, marks the regional environment information differently, forms a plurality of marked regions capable of passing and marked regions incapable of passing on the navigation map, and delimits the connection of three or more adjacent regions incapable of passing into an avoidance range.
Step nine: and (3) generating an optimal route which bypasses the avoidance scope and passes through the passable marking area as much as possible according to the avoidance scope and the passable marking area defined in the step (eight) by the path planning module, and obtaining the corrected path.
Step ten: and D, the maintenance personnel select a barrier breaking tool to be carried according to the surrounding environment information of the target water quality sampler, and drive to the position of the target water quality sampler to repair and maintain or extract a sample according to the corrected route in the step nine.
The various technical features in the above embodiments may be arbitrarily combined as long as there is no conflict or contradiction between the combinations of features, but are not described one by one at a time in the description.
The present invention is not limited to the above-described embodiments, but it is intended that the present invention also includes modifications and variations if they fall within the scope of the claims and the equivalents thereof, if they do not depart from the spirit and scope of the present invention.
Claims (5)
1. Sampling device management system based on thing networking, its characterized in that: the remote management system comprises a remote management end and a field detection end, wherein the remote management end is in communication connection with the field detection end;
the field detection end comprises a field information acquisition module which is arranged beside the water quality sampler and used for acquiring environmental information around the water quality sampler and uploading the environmental information to the remote management end;
the remote management end comprises a control module and a path planning module, the control module is in communication connection with the path planning module, the control module receives uploaded information, and the path planning module corrects a navigation path leading to the water quality sampler according to the environmental information around the water quality sampler received by the control module;
the mobile receiving end is in remote communication connection with the remote management end; the mobile receiving end is used for receiving and displaying the navigation path sent by the path planning module;
the remote management end further comprises an alarm module which is respectively in communication connection with the control module and the mobile receiving end; the control module is in communication connection with the plurality of water quality samplers to acquire the running state of each water quality sampler, and the control module instructs the alarm module to send alarm information to the mobile receiving end when monitoring that the running state of any water quality sampler is abnormal;
the field detection end further comprises a plurality of positioning modules, and the positioning modules are all in communication connection with the control module; the positioning modules are arranged on the water quality samplers in a one-to-one correspondence manner and used for acquiring positioning information of each water quality sampler and uploading the positioning information to the control module; the control module sends positioning information of the water quality sampler with abnormal running state to the mobile receiving end;
corresponding field information acquisition modules are arranged beside any water quality sampler, each field information acquisition module uploads the environmental information around each water quality sampler to the control module, and the path planning module generates a navigation path diagram among the water quality samplers around the natural water system according to the environmental information around the water quality samplers received by the control module;
the system comprises a control module, a path planning module, a plurality of water quality sampling devices, a plurality of field information acquisition modules and a navigation module, wherein the field information acquisition modules are arranged on the connecting paths of the two adjacent water quality sampling devices, the field information acquisition modules upload environmental information on the paths between the two adjacent water quality sampling devices to the control module, and the path planning module receives the environmental information on the paths between the two adjacent water quality sampling devices according to the control module and gathers and corrects the navigation paths between the water quality sampling devices;
the path planning module generates a region of a corresponding range at a coordinate point corresponding to the range of the environmental information which can be acquired by the on-site information acquisition module on the navigation map, judges a triangle range formed by interconnecting adjacent three non-passing marking regions as an avoidance range, plans a path which bypasses the avoidance range on the navigation map, and enables the path to pass through the marking as a passable region as much as possible;
the field information acquisition module is used for acquiring field vegetation growth information, ground muddy information, water level height information and beast frequency information.
2. The internet of things-based sampling device management system of claim 1, wherein: the field information acquisition module is one of a rotatable monitoring camera, a video camera or a camera.
3. The internet of things-based sampling device management system of claim 1, wherein: the remote management end further comprises a management module, and the management module is used for being in communication connection with all the water quality samplers connected to the cloud.
4. The internet of things-based sampling device management system of claim 1, wherein: the remote management end is provided with an access port, and the mobile receiving end accesses the remote management end from the access port by scanning the two-dimensional code.
5. The sampling device management method based on the internet of things, which is adapted Yu Quanli to the sampling device management system based on the internet of things according to any one of claims 1 to 4, is characterized by comprising the following steps:
step one: selecting a target water quality sampler through a remote management end;
step two: navigation to obtain an initial path to a target water quality sampler;
step three: the field information acquisition module acquires and uploads environmental information around the target water quality sampler;
step four: the path planning module corrects the primary path acquired in the second step according to the surrounding environmental information of the target water quality sampler to acquire a corrected path;
step five: the maintenance personnel select necessary equipment according to the surrounding environment information of the target water quality sampler acquired in the third step, and rush to the target water quality sampler according to the correction path acquired in the fourth step.
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Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130074016A (en) * | 2011-12-26 | 2013-07-04 | 전자부품연구원 | Method for measuring quality of water, system thereof, robot thereof and managing apparatus thereof |
| CN104748785A (en) * | 2013-12-30 | 2015-07-01 | 南京理工大学常熟研究院有限公司 | Remote automatic hydrology and water quality monitoring system platform |
| CN107144289A (en) * | 2017-05-17 | 2017-09-08 | 成都聚汇才科技有限公司 | A kind of navigation system |
| CN107656545A (en) * | 2017-09-12 | 2018-02-02 | 武汉大学 | A kind of automatic obstacle avoiding searched and rescued towards unmanned plane field and air navigation aid |
| CN206991539U (en) * | 2017-08-04 | 2018-02-09 | 郑保宁 | A kind of unmanned boat complex water areas intelligent monitor system |
| CN109508016A (en) * | 2018-12-26 | 2019-03-22 | 北京工商大学 | Water quality sampling cruise ship path planning optimal method |
| CN109541609A (en) * | 2018-12-10 | 2019-03-29 | 江门市蓬江区联诚达科技发展有限公司 | Rivers and lakes sniffing robot and its operational method |
| KR101936586B1 (en) * | 2017-11-08 | 2019-04-09 | 한국건설기술연구원 | System for mapping river water-bloom map using data for detecting by gps-based random sampling, and method for the same |
| CN110930753A (en) * | 2019-11-27 | 2020-03-27 | 江苏集萃智能传感技术研究所有限公司 | Parking space searching navigation system and parking space searching navigation method |
| CN111045374A (en) * | 2019-12-31 | 2020-04-21 | 重庆莱格特电气有限公司 | Intelligent water affair Internet of things online monitoring platform and method |
| CN111157008A (en) * | 2020-03-05 | 2020-05-15 | 齐鲁工业大学 | Local autonomous navigation system and method based on multidimensional environment information perception |
| CN111242574A (en) * | 2020-01-08 | 2020-06-05 | 中国建筑第二工程局有限公司西南分公司 | Intelligent site inspection management system and method based on GPS technology |
| CN111694034A (en) * | 2020-06-19 | 2020-09-22 | 黄河勘测规划设计研究院有限公司 | River and lake growth water condition patrol system based on Beidou navigation and positioning |
| CN112344935A (en) * | 2020-10-19 | 2021-02-09 | 深圳优地科技有限公司 | Robot map management method, device, equipment and storage medium |
| CN112418737A (en) * | 2020-12-16 | 2021-02-26 | 南京大学 | Regional water environment management platform |
| CN113063911A (en) * | 2021-03-19 | 2021-07-02 | 中国船舶科学研究中心 | Unmanned ship system for monitoring water quality of lakes and watersheds |
| CN113178006A (en) * | 2021-04-25 | 2021-07-27 | 深圳市慧鲤科技有限公司 | Navigation map generation method and device, computer equipment and storage medium |
| CN113341970A (en) * | 2021-06-01 | 2021-09-03 | 苏州天准科技股份有限公司 | Intelligent inspection navigation obstacle avoidance system, method, storage medium and inspection vehicle |
| CN113504784A (en) * | 2021-08-27 | 2021-10-15 | 江苏熙枫智能科技有限公司 | Unmanned aerial vehicle descending system based on computer vision |
| WO2022021525A1 (en) * | 2020-07-31 | 2022-02-03 | 安徽泗州拖拉机制造有限公司 | Automatic navigation and steering system for unmanned tractor |
| CN114281083A (en) * | 2021-12-28 | 2022-04-05 | 江苏大学 | Unmanned ship water quality monitoring Internet of things control system and method based on hybrid path planning autonomous navigation |
| KR102386222B1 (en) * | 2021-09-02 | 2022-04-15 | 주식회사 에스티엔인포텍 | Waterside monitoring system through unmanned boat control using ai |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180018880A1 (en) * | 2016-07-12 | 2018-01-18 | Caterpillar Inc. | System and method for worksite route management |
| CN110304049B (en) * | 2019-06-24 | 2020-11-24 | 浙江大学 | Environment active sensing type automatic parking system for parking lot |
-
2022
- 2022-12-09 CN CN202211584336.8A patent/CN115752480B/en active Active
Patent Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130074016A (en) * | 2011-12-26 | 2013-07-04 | 전자부품연구원 | Method for measuring quality of water, system thereof, robot thereof and managing apparatus thereof |
| CN104748785A (en) * | 2013-12-30 | 2015-07-01 | 南京理工大学常熟研究院有限公司 | Remote automatic hydrology and water quality monitoring system platform |
| CN107144289A (en) * | 2017-05-17 | 2017-09-08 | 成都聚汇才科技有限公司 | A kind of navigation system |
| CN206991539U (en) * | 2017-08-04 | 2018-02-09 | 郑保宁 | A kind of unmanned boat complex water areas intelligent monitor system |
| CN107656545A (en) * | 2017-09-12 | 2018-02-02 | 武汉大学 | A kind of automatic obstacle avoiding searched and rescued towards unmanned plane field and air navigation aid |
| KR101936586B1 (en) * | 2017-11-08 | 2019-04-09 | 한국건설기술연구원 | System for mapping river water-bloom map using data for detecting by gps-based random sampling, and method for the same |
| CN109541609A (en) * | 2018-12-10 | 2019-03-29 | 江门市蓬江区联诚达科技发展有限公司 | Rivers and lakes sniffing robot and its operational method |
| CN109508016A (en) * | 2018-12-26 | 2019-03-22 | 北京工商大学 | Water quality sampling cruise ship path planning optimal method |
| CN110930753A (en) * | 2019-11-27 | 2020-03-27 | 江苏集萃智能传感技术研究所有限公司 | Parking space searching navigation system and parking space searching navigation method |
| CN111045374A (en) * | 2019-12-31 | 2020-04-21 | 重庆莱格特电气有限公司 | Intelligent water affair Internet of things online monitoring platform and method |
| CN111242574A (en) * | 2020-01-08 | 2020-06-05 | 中国建筑第二工程局有限公司西南分公司 | Intelligent site inspection management system and method based on GPS technology |
| CN111157008A (en) * | 2020-03-05 | 2020-05-15 | 齐鲁工业大学 | Local autonomous navigation system and method based on multidimensional environment information perception |
| CN111694034A (en) * | 2020-06-19 | 2020-09-22 | 黄河勘测规划设计研究院有限公司 | River and lake growth water condition patrol system based on Beidou navigation and positioning |
| WO2022021525A1 (en) * | 2020-07-31 | 2022-02-03 | 安徽泗州拖拉机制造有限公司 | Automatic navigation and steering system for unmanned tractor |
| CN112344935A (en) * | 2020-10-19 | 2021-02-09 | 深圳优地科技有限公司 | Robot map management method, device, equipment and storage medium |
| CN112418737A (en) * | 2020-12-16 | 2021-02-26 | 南京大学 | Regional water environment management platform |
| CN113063911A (en) * | 2021-03-19 | 2021-07-02 | 中国船舶科学研究中心 | Unmanned ship system for monitoring water quality of lakes and watersheds |
| CN113178006A (en) * | 2021-04-25 | 2021-07-27 | 深圳市慧鲤科技有限公司 | Navigation map generation method and device, computer equipment and storage medium |
| CN113341970A (en) * | 2021-06-01 | 2021-09-03 | 苏州天准科技股份有限公司 | Intelligent inspection navigation obstacle avoidance system, method, storage medium and inspection vehicle |
| CN113504784A (en) * | 2021-08-27 | 2021-10-15 | 江苏熙枫智能科技有限公司 | Unmanned aerial vehicle descending system based on computer vision |
| KR102386222B1 (en) * | 2021-09-02 | 2022-04-15 | 주식회사 에스티엔인포텍 | Waterside monitoring system through unmanned boat control using ai |
| CN114281083A (en) * | 2021-12-28 | 2022-04-05 | 江苏大学 | Unmanned ship water quality monitoring Internet of things control system and method based on hybrid path planning autonomous navigation |
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