CN116708495A - A hydrological telemetry method and system capable of intelligent maintenance - Google Patents

A hydrological telemetry method and system capable of intelligent maintenance Download PDF

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CN116708495A
CN116708495A CN202310639287.1A CN202310639287A CN116708495A CN 116708495 A CN116708495 A CN 116708495A CN 202310639287 A CN202310639287 A CN 202310639287A CN 116708495 A CN116708495 A CN 116708495A
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measuring point
strategy
water area
data
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宋学英
徐俊珂
魏娜
解建仓
朱记伟
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Xian University of Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/04Processing captured monitoring data, e.g. for logfile generation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

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Abstract

The application discloses a method and a system capable of intelligently maintaining hydrological telemetering, which are characterized in that a measuring point module is used for collecting measuring point position water area data according to a first collecting strategy, the water area data is sent to a cloud platform, whether the first collecting strategy is matched with the current measuring point collecting requirement is judged according to the water area data, if not, a second collecting strategy is generated according to a preset strategy generating rule and the water area data, the second collecting strategy is sent to the measuring point module, and the measuring point module is used for collecting the measuring point position water area data according to the second collecting rule. The remote control and remote parameter adjustment of the hydrologic telemetering equipment, the communication state and the key operation information are realized without parameter adjustment by operation staff of hydrologic telemetering under the condition of no equipment fault, the remote control, the operation and maintenance efficiency and the intellectualization of the hydrologic telemetering equipment are improved, the labor and time cost of hydrologic adjustment parameters and operation and maintenance is reduced to the greatest extent, and the effectiveness and the data quality of telemetering data are improved.

Description

一种可智能维护的水文遥测方法和系统A hydrological telemetry method and system capable of intelligent maintenance

技术领域technical field

本申请涉及可智能维护的水文遥测技术领域,特别是涉及一种可智能维护的水文遥测方法和系统。The present application relates to the technical field of hydrological telemetry capable of intelligent maintenance, in particular to a method and system of hydrological telemetry capable of intelligent maintenance.

背景技术Background technique

水文遥测技术是水利信息化的重要基础。早期的遥测系统中心程序和遥测设备之间的远程传输信道一般采用超短波、卫星、PSTN(公众电话交换网)等,基本上是点对点的传输,从拓扑模型来看,目前水利数据监测,已经从传统的手工抄表、局域网统计等方式,进入到云采集模式。但现阶段较突出的有两个问题,一个是测点调参需要人工干预的问题,一个是遥测策略固化无法自适应问题。Hydrological telemetry technology is an important basis for water conservancy informatization. The remote transmission channel between the central program of the early telemetry system and the telemetry equipment generally adopts ultrashort wave, satellite, PSTN (Public Switched Telephone Network), etc., which is basically a point-to-point transmission. From the perspective of the topology model, the current monitoring of water conservancy data has been from Traditional methods such as manual meter reading and local area network statistics have entered the cloud collection mode. However, there are two prominent problems at this stage. One is that manual intervention is required for parameter adjustment at measurement points, and the other is that the telemetry strategy cannot be self-adapted after solidification.

通常,各类传感器如流速、水位、雨量等有对应的成熟的传感器采集其状态,通过不同的本地通讯协议接入采集控制器。这些传感器分别会有不同的参数来进行控制其采集行为;采集哪些水文要素、什么时间采集、采集的频率等,也需要通过采集控制器通过软件参数来进行控制。现在已经多采用物联网的方式进行远程采集通讯,但是对于采集策略相关的各类参数的设定,需要在出厂时设定好,一但需要调整,还需要现场施工或维保人员到现场进行设置,对于水文遥测来说,各个测点往往分布的间距很远,完成一次参数调整,需要消耗大量的人力物力和时间。但由于设备升级、测点周边环境变化、测量内容调整等因素的原因,无法避免参数的调整,现有技术通过人工现场调节测点参数耗时耗力,在汛期时更是无法及时调节测点参数。Usually, various sensors such as flow rate, water level, rainfall, etc. have corresponding mature sensors to collect their status, and access the collection controller through different local communication protocols. These sensors have different parameters to control their collection behavior; which hydrological elements to collect, when to collect, and the frequency of collection, etc., also need to be controlled by the collection controller through software parameters. Nowadays, the Internet of Things is mostly used for remote acquisition and communication, but the setting of various parameters related to the acquisition strategy needs to be set at the factory. Once adjustments are required, on-site construction or maintenance personnel are required to go to the site. For hydrological telemetry, each measuring point is often distributed far away, and it takes a lot of manpower, material resources and time to complete a parameter adjustment. However, due to factors such as equipment upgrades, changes in the surrounding environment of the measuring point, and adjustment of measurement content, the adjustment of parameters cannot be avoided. The existing technology is time-consuming and labor-intensive to manually adjust the parameters of the measuring point on site, and it is even impossible to adjust the measuring point in time during the flood season. parameter.

发明内容Contents of the invention

基于此,针对上述技术问题,提供一种可智能维护水文遥测方法和系统以解决现有技术通过人工现场调节测点参数耗时耗力、在汛期时更是无法及时调节测点参数的问题。Based on this, in view of the above technical problems, a method and system for intelligent maintenance of hydrological telemetry is provided to solve the problem of time-consuming and labor-consuming manual on-site adjustment of measuring point parameters in the prior art, and it is impossible to adjust the measuring point parameters in time during the flood season.

第一方面,一种可智能维护水文遥测方法,所述方法包括:In the first aspect, a method for intelligently maintaining hydrological telemetry, the method includes:

测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述采集控制器将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接到所述云平台,并将所述水域数据发送至所述云平台;The measuring point module collects the water area data of the measuring point position according to the first acquisition strategy, and sends the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller According to the first acquisition strategy, a plurality of sensors are controlled to collect multiple sets of data of the water area of the measuring point position to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; the acquisition controller converts the Sending the water area data to the cloud platform includes that the transceiver establishes an https connection to the cloud platform through a mobile communication network, and sends the water area data to the cloud platform;

根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;Judging whether the first collection strategy matches the current survey point collection according to the water area data, if not, generating a second collection strategy according to the preset strategy generation rules and the water area data;

将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。The second collection strategy is sent to the measuring point module, and the measuring point module collects the water area data of the measuring point according to the second collection rule.

上述方案中,可选地,所述测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台,包括:In the above scheme, optionally, the measuring point module collects the water area data of the measuring point position according to the first collection strategy, and sends the water area data to the cloud platform, including:

所述收发器采用4G移动通讯的方式接入互联网,采用多模通讯设备,通过同时接入多运营商的方案来保证网络通讯的可靠性;The transceiver uses 4G mobile communication to access the Internet, adopts multi-mode communication equipment, and ensures the reliability of network communication by simultaneously accessing multiple operators;

所述采集控制器用于驱动所述收发器和所述多个传感器,用于部署所述第一采集策略和所述第二采集策略;所述采集控制器上,配备闪存芯片,用于存储软件参数;The acquisition controller is used to drive the transceiver and the plurality of sensors, and is used to deploy the first acquisition strategy and the second acquisition strategy; the acquisition controller is equipped with a flash memory chip for storing software parameter;

所述多个传感器通过所述传感器的协议和API,用于采集不同指标数据,其中,所述多个类传感器包括水温传感器、水位传感器、水质传感器、水压传感器和水流传感器等。The multiple sensors are used to collect different indicator data through the sensor protocol and API, wherein the multiple types of sensors include water temperature sensors, water level sensors, water quality sensors, water pressure sensors, and water flow sensors.

上述方案中,进一步可选地,所述云平台包括策略生成规则模块、自适应遥测策略池模块和遥测适配模块;所述策略生成规则模块包括预设策略生成规则,所述自适应遥测池记录各个测点的最新遥测策略,遥测适配模块用于计算并生成新的策略。In the above solution, further optionally, the cloud platform includes a policy generation rule module, an adaptive telemetry policy pool module, and a telemetry adaptation module; the policy generation rule module includes preset policy generation rules, and the adaptive telemetry pool The latest telemetry strategy of each measurement point is recorded, and the telemetry adaptation module is used to calculate and generate a new strategy.

上述方案中,进一步可选地,所述策略生成规则模块包括:对每个测点水域因素进行列举和排序,通过归一化处理形成每个目标测点的预设策略生成规则;In the above solution, further optionally, the strategy generation rule module includes: enumerating and sorting the water area factors of each measuring point, and forming a preset strategy generation rule for each target measuring point through normalization processing;

所述通过归一化处理形成每个目标测点的预设策略生成规则,具体为:给每个水域因素达到的程度进行量化描述,程度由1到10,1表示匹配程度最小,10表示匹配程度最大,给每个水域因素的匹配程度打分;并计算出各个遥测指标的决策权重,得到各指标权重;The preset strategy generation rules for forming each target measuring point through normalization processing are specifically: quantitatively describe the degree of each water area factor, the degree is from 1 to 10, 1 means the minimum matching degree, and 10 means matching The degree is the largest, and the matching degree of each water area factor is scored; and the decision weight of each telemetry index is calculated to obtain the weight of each index;

按照所述指标权重对指标重要性进行分类,分为一般、重要和非常重要三类;所述权重低于30%的为一般、高于30%低于60%的为重要和高于60%的为非常重要,再匹配告警频率,得到测点的第二采集策略。According to the weight of the indicators, the importance of the indicators is classified into three categories: general, important and very important; the weights below 30% are general, those above 30% and below 60% are important, and those above 60% The behavior is very important, and then match the alarm frequency to obtain the second acquisition strategy of the measuring point.

上述方案中,进一步可选地,所述策略遥测池用于存储每个测点的采集策略,在所述策略池里分别记录和存储每个测点的专属采集策略,策略池包括每个测点编号,当前策略,决策频率。In the above solution, further optionally, the strategy telemetry pool is used to store the collection strategy of each measuring point, and the dedicated collection strategy of each measuring point is recorded and stored in the strategy pool, and the strategy pool includes the Point number, current strategy, decision frequency.

上述方案中,进一步可选地,所述遥测适配模块,通过控制台获取策略生成规则,当云平台收到新的测点采集数据时,将此测点采集数据立即存入数据仓库里,遥测适配模块就从数据仓库里获取新的数据,按照现行的策略生成规则和计算规则,生成对应测点的专属策略,并存入策略池。In the above solution, further optionally, the telemetry adaptation module obtains the policy generation rules through the console, and when the cloud platform receives new measurement point collection data, it immediately stores the measurement point collection data in the data warehouse, The telemetry adaptation module obtains new data from the data warehouse, generates exclusive policies corresponding to the measurement points according to the current policy generation rules and calculation rules, and stores them in the policy pool.

上述方案中,进一步可选地,所述将所述第二采集策略发送至所述测点模块,包括:所述云平台与所述测点模块建立https连接,并将所述第二采集策略发送至所述测点模块。In the above solution, further optionally, the sending the second collection strategy to the point-measurement module includes: the cloud platform establishes an https connection with the point-measurement module, and sends the second collection strategy Send to the measuring point module.

第二方面,一种可智能维护的水文遥测系统,所述系统包括:In the second aspect, a hydrological telemetry system capable of intelligent maintenance, the system includes:

测点模块:用于根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接所述云平台,并将所述水域数据发送至所述云平台;云平台模块:用于接收所述测点模块发送的水域数据并根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;用于将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。Measuring point module: used to collect water area data at the location of the measuring point according to the first acquisition strategy, and send the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the The acquisition controller controls a plurality of sensors to collect multiple sets of data of the water area of the measuring point position according to the first acquisition strategy to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; Sending the water area data to the cloud platform includes that the transceiver establishes https to connect to the cloud platform through the mobile communication network, and sends the water area data to the cloud platform; cloud platform module: used to receive the data sent by the measuring point module water area data and judge whether the first acquisition strategy matches the current measuring point acquisition according to the water area data, if not, generate a second acquisition strategy according to the preset policy generation rules and the water area data; The collection strategy is sent to the measuring point module, and the measuring point module collects the water area data of the measuring point according to the second collection rule.

第三方面,一种计算机设备,包括存储器和处理器,所述存储器存储有计算机程序,所述处理器执行所述计算机程序时实现以下步骤:In a third aspect, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接到所述云平台,并将所述水域数据发送至所述云平台;The measuring point module collects the water area data of the measuring point position according to the first acquisition strategy, and sends the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller According to the first collection strategy, multiple sensors are controlled to collect multiple sets of data of the water area of the measuring point position to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; the sending of the water area data To the cloud platform includes the transceiver establishing an https connection to the cloud platform through a mobile communication network, and sending the water data to the cloud platform;

根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;Judging whether the first collection strategy matches the current survey point collection according to the water area data, if not, generating a second collection strategy according to the preset strategy generation rules and the water area data;

将所述第二采集策略回调发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。The callback of the second acquisition strategy is sent to the measuring point module, and the measuring point module collects the water area data of the measuring point according to the second acquisition rule.

第四方面,一种计算机可读存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现以下步骤:In a fourth aspect, a computer-readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the following steps are implemented:

测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接到所述云平台,并将所述水域数据发送至所述云平台;根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;The measuring point module collects the water area data of the measuring point position according to the first acquisition strategy, and sends the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller According to the first collection strategy, multiple sensors are controlled to collect multiple sets of data of the water area of the measuring point position to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; the sending of the water area data To the cloud platform includes the transceiver establishing an https connection to the cloud platform through a mobile communication network, and sending the water area data to the cloud platform; judging whether the first collection strategy matches the current measurement according to the water area data point collection, if not, then generate the second collection strategy according to the preset strategy generation rule and the water area data;

将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。The second collection strategy is sent to the measuring point module, and the measuring point module collects the water area data of the measuring point according to the second collection rule.

本发明至少具有以下有益效果:The present invention has at least the following beneficial effects:

本发明基于对现有技术问题的进一步分析和研究,认识到现有技术通过人工现场调节测点参数耗时耗力,在汛期时更是无法及时调节测点参数的问题。本发明通过测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接到所述云平台,并将所述水域数据发送至所述云平台;根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。Based on further analysis and research on the problems in the prior art, the present invention realizes that in the prior art, it is time-consuming and labor-intensive to manually adjust the parameters of the measuring points on site, and it is impossible to adjust the parameters of the measuring points in time during the flood season. The present invention collects the water area data of the position of the measuring point through the measuring point module according to the first acquisition strategy, and sends the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; The acquisition controller controls a plurality of sensors to collect multiple sets of data of the water area of the measuring point position according to the first acquisition strategy to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; Sending the water area data to the cloud platform includes that the transceiver establishes an https connection to the cloud platform through a mobile communication network, and sends the water area data to the cloud platform; judging whether the first acquisition strategy is based on the water area data Match the current measuring point collection, if not, generate a second collection strategy according to the preset strategy generation rule and the water area data; send the second collection strategy to the measuring point module, and the measuring point module according to the The second collection rule collects the water area data at the location of the measuring point.

通过本发明方案使水文遥测的运维人员在没有设备故障的情况下不用跑亲临各个站点进行参数调节,实现水文遥测设备、通信状态、关键运行信息的远程控制及远程参数调节,显著提升了水文遥测设备的远程控制、运维效率以及智能化,使水文调节参数以及运维的人力和时间成本最大程度的降低。实时水文遥测数据进行反向干预,达到遥测策略实时优化的目的,使遥测不仅能收取远端测点数据,更能自动调整遥测方案进行合理控制,以达到更高效的监测目的,使遥测的数据更即时、有效,更有价值。Through the solution of the present invention, the operation and maintenance personnel of hydrological telemetry do not have to go to each site for parameter adjustment without equipment failure, and realize remote control and remote parameter adjustment of hydrological telemetry equipment, communication status, and key operating information, which significantly improves hydrological The remote control, operation and maintenance efficiency and intelligence of telemetry equipment minimize the manpower and time costs of hydrological adjustment parameters and operation and maintenance. Reverse intervention of real-time hydrological telemetry data to achieve the purpose of real-time optimization of telemetry strategy, so that telemetry can not only collect remote measurement point data, but also automatically adjust the telemetry plan for reasonable control, so as to achieve more efficient monitoring purposes and make telemetry data More instant, effective, and more valuable.

附图说明Description of drawings

图1为本发明一个实施例提供的可智能维护水文遥测方法的流程示意图;Fig. 1 is a schematic flow chart of an intelligently maintained hydrological telemetry method provided by an embodiment of the present invention;

图2为本发明一个实施例提供的传统水文遥测中心控制系统拓扑图;Fig. 2 is a traditional hydrological telemetry center control system topology diagram provided by an embodiment of the present invention;

图3为本发明一个实施例提供的水文遥测中心控制系统拓扑图;Fig. 3 is a topological diagram of the hydrological telemetry center control system provided by an embodiment of the present invention;

图4为本发明一个实施例提供的传统水文遥测系统数据交互时序图;Fig. 4 is a sequence diagram of data interaction of a traditional hydrological telemetry system provided by an embodiment of the present invention;

图5为本发明一个实施例提供的水文遥测系统数据交互时序图;Fig. 5 is a sequence diagram of data interaction of the hydrological telemetry system provided by an embodiment of the present invention;

图6为本发明一个实施例提供的http方向控制通讯模型;Fig. 6 is the http direction control communication model provided by one embodiment of the present invention;

图7为一个实施例中计算机设备的内部结构图。Figure 7 is an internal block diagram of a computer device in one embodiment.

具体实施方式Detailed ways

为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

本申请提供的可智能维护水文遥测方法,如图1所示,包括以下步骤:The intelligent maintenance hydrological telemetry method provided by this application, as shown in Figure 1, includes the following steps:

测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接所述云平台,并将所述水域数据发送至所述云平台;The measuring point module collects the water area data of the measuring point position according to the first acquisition strategy, and sends the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller According to the first collection strategy, multiple sensors are controlled to collect multiple sets of data of the water area of the measuring point position to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; the sending of the water area data To the cloud platform includes the transceiver establishing an HTTPS connection to the cloud platform through a mobile communication network, and sending the water data to the cloud platform;

根据所述水域数据和云平台策略规则判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;其中,第一采集策略和第二采集策略的为原策略和优化的新策略,策略的替换是个持续的迭代过程。Judging whether the first collection strategy matches the current survey point collection according to the waters data and cloud platform policy rules, if not, then generating a second collection strategy according to the preset strategy generation rules and the waters data; wherein, the first collection The strategy and the second acquisition strategy are the original strategy and the optimized new strategy, and the replacement of the strategy is a continuous iterative process.

将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。The second collection strategy is sent to the measuring point module, and the measuring point module collects the water area data of the measuring point according to the second collection rule.

在一个实施例中,所述测点模块根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台,包括:In one embodiment, the measuring point module collects the water area data of the measuring point position according to the first acquisition strategy, and sends the water area data to the cloud platform, including:

所述收发器采用4G移动通讯的方式接入互联网,采用多模通讯设备,通过同时接入多运营商的方案来保证网络通讯的可靠性;The transceiver uses 4G mobile communication to access the Internet, adopts multi-mode communication equipment, and ensures the reliability of network communication by simultaneously accessing multiple operators;

所述采集控制器用于驱动所述收发器和所述多个传感器,用于部署所述第一采集策略和所述第二采集策略;所述采集控制器上,配备闪存芯片,用于存储软件参数;The acquisition controller is used to drive the transceiver and the plurality of sensors, and is used to deploy the first acquisition strategy and the second acquisition strategy; the acquisition controller is equipped with a flash memory chip for storing software parameter;

所述多个传感器通过所述传感器的协议和API,用于采集不同指标数据,其中,所述多个传感器包括水温传感器、水位传感器、水质传感器、水压传感器和水流传感器。The multiple sensors are used to collect different indicator data through the sensor protocol and API, wherein the multiple sensors include a water temperature sensor, a water level sensor, a water quality sensor, a water pressure sensor and a water flow sensor.

在一个实施例中,所述云平台包括策略生成规则模块、自适应遥测策略池模块和遥测适配模块;所述策略生成规则模块包括预设策略生成规则,所述自适应遥测池记录各个测点的遥测策略,遥测适配模块用于计算并生成新的策略。In one embodiment, the cloud platform includes a policy generation rule module, an adaptive telemetry policy pool module, and a telemetry adaptation module; the policy generation rule module includes preset policy generation rules, and the adaptive telemetry pool records each measurement The telemetry policy of the point, the telemetry adaptation module is used to calculate and generate a new policy.

在一个实施例中,所述策略生成规则模块包括:对每个测点水域因素进行列举和排序,通过归一化处理形成每个目标测点的预设策略生成规则;In one embodiment, the strategy generating rule module includes: enumerating and sorting the water area factors of each measuring point, and forming a preset strategy generating rule for each target measuring point through normalization processing;

所述通过归一化处理形成每个目标测点的预设策略生成规则,具体为:给每个水域因素达到的程度进行量化描述,程度由1到10,1表示匹配程度最小,10表示匹配程度最大,给每个水域因素的匹配程度打分;并计算出各个遥测指标的决策权重,得到各指标权重;The preset strategy generation rules for forming each target measuring point through normalization processing are specifically: quantitatively describe the degree of each water area factor, the degree is from 1 to 10, 1 means the minimum matching degree, and 10 means matching The degree is the largest, and the matching degree of each water area factor is scored; and the decision weight of each telemetry index is calculated to obtain the weight of each index;

按照所述指标权重对指标重要性进行分类,分为一般、重要和非常重要三类;所述权重低于30%的为一般、高于30%低于60%的为重要和高于60%的为非常重要,再匹配告警频率,得到测点的第二采集策略。其中,所述权重可调,可以根据用户需求进行对指标重要性进行分,所述用户为水文遥测的运维人员。According to the weight of the indicators, the importance of the indicators is classified into three categories: general, important and very important; the weights below 30% are general, those above 30% and below 60% are important, and those above 60% The behavior is very important, and then match the alarm frequency to obtain the second acquisition strategy of the measuring point. Wherein, the weight is adjustable, and the importance of indicators can be classified according to user requirements, and the user is an operation and maintenance personnel of hydrological telemetry.

在一个实施例中,所述策略遥测池用于存储每个测点的采集策略,在所述策略池里分别记录和存储每个测点的专属采集策略,策略池包括每个测点编号,当前策略,决策频率。In one embodiment, the strategy telemetry pool is used to store the acquisition strategy of each measuring point, and the exclusive acquisition strategy of each measuring point is recorded and stored in the strategy pool respectively, and the strategy pool includes the number of each measuring point, Current strategy, decision frequency.

在一个实施例中,所述遥测适配模块,通过控制台获取策略生成规则,当云平台收到新的测点采集数据时,遥测适配模块就从数据库里获取新的数据,按照现行的策略生成规则和计算规则,生成对应测点的专属策略,并存入策略池。In one embodiment, the telemetry adaptation module acquires policy generation rules through the console, and when the cloud platform receives new measurement point collection data, the telemetry adaptation module acquires new data from the database, according to the current The strategy generation rules and calculation rules generate exclusive strategies corresponding to the measurement points and store them in the strategy pool.

在一个实施例中,所述将所述第二采集策略发送至所述测点模块,包括:所述云平台与所述测点模块建立https连接,并将所述第二采集策略发送至所述测点模块。In one embodiment, the sending the second collection strategy to the point measurement module includes: the cloud platform establishes an https connection with the point measurement module, and sends the second collection strategy to the point measurement module. The measurement point module.

在一个实施例中,包括:硬件模型、通讯协议和云平台几个方面。通过硬件模型部署具备双向通讯能力的测点、通讯方面部署双向通讯协议、云平台方面部署常规响应能力和自适应决策能力,实现水文遥测系统的智能维护。In one embodiment, it includes: several aspects of hardware model, communication protocol and cloud platform. The intelligent maintenance of the hydrological telemetry system is realized by deploying measuring points with two-way communication capabilities on the hardware model, deploying two-way communication protocols on the communication side, and deploying conventional response capabilities and adaptive decision-making capabilities on the cloud platform.

在一个实施例中,所述遥测网络拓扑中,测点由收发模块、采集控制器和各类传感器组成。各组成部分至少包括但不限制于以下功能:In one embodiment, in the telemetry network topology, the measurement points are composed of transceiver modules, collection controllers and various sensors. Each component includes at least but not limited to the following functions:

收发模块:采用4G移动通讯的方式接入互联网,采用多模通讯设备,通过同时接入多运营商的方案来保证网络通讯的可靠性,例如同时接入联通和移动的网络,在建立通讯时,按照信号的强度,选择较强的移动网络接入。Transceiver module: use 4G mobile communication to access the Internet, use multi-mode communication equipment, and ensure the reliability of network communication through simultaneous access to multi-operator solutions, such as simultaneous access to China Unicom and China Mobile networks, when establishing communication , according to the strength of the signal, select a stronger mobile network access.

采集控制器:是测点的核心控制设备,具备驱动收发模块和传感器的能力,同时具备策略部署能力。在采集控制器上,配备一定容量的闪存芯片,用于存储各类软件参数。采集控制器不但可以将策略写入闪存芯片,还可以从闪存芯片里读取云平台下发的遥测策略,在合适的时机控制传感器进行指标采样,在合适的时间控制收发模块将数据发往云平台。Acquisition controller: It is the core control device of the measurement point, capable of driving transceiver modules and sensors, and capable of strategy deployment. On the acquisition controller, it is equipped with a flash memory chip with a certain capacity, which is used to store various software parameters. The acquisition controller can not only write the policy into the flash memory chip, but also read the telemetry policy issued by the cloud platform from the flash memory chip, control the sensor to sample indicators at the right time, and control the transceiver module to send data to the cloud at the right time platform.

各类传感器:通过传感器的协议和API,在采集控制器上部署相关的二次开发软件来进行各类同时接入,由此实现各类不同指标的采集功能。Various types of sensors: through the sensor protocol and API, deploy relevant secondary development software on the acquisition controller to perform various simultaneous access, thereby realizing the acquisition function of various indicators.

在一个实施例中,硬件模型包括:在采集控制器上引入闪存芯片,用于存储和读写各类参数。进一步的,采用SLC颗粒,即Single-Level Cell,也就是单层存储单元,一单位空间(cell)可以存储1bit数据,也就是1bit/cell,单颗粒理论擦写次数在10万次以上,对于较低频率的水利采集场景,采用此颗粒无需考虑由读写次数过多导致的功能失效问题。In one embodiment, the hardware model includes: introducing a flash memory chip on the acquisition controller for storing and reading and writing various parameters. Furthermore, using SLC particles, that is, Single-Level Cell, that is, a single-layer storage unit, a unit space (cell) can store 1 bit of data, that is, 1 bit/cell, and the theoretical erasing and writing times of a single particle are more than 100,000 times. For low-frequency water conservancy collection scenarios, the use of this particle does not need to consider the problem of functional failure caused by too many reads and writes.

进一步的,采集控制器的实现上,本发明硬件采用ARM单片机实现,ARM单片机采用新型的32位ARM核处理器,使其在指令系统,总线结构,调试技术,功耗以及性价比等方面都超过了传统的51系列单片机,同时ARM单片机在芯片内部集成了大量的片内外设,所以功能和可靠性都大大提高。可以方便的通过单片机编程,实现采集控制器的采集控制、收发控制、策略读写部署等功能。Further, on the realization of acquisition controller, hardware of the present invention adopts ARM single-chip microcomputer to realize, and ARM single-chip microcomputer adopts novel 32-bit ARM core processor, makes it all exceed in order system, bus structure, debugging technology, power consumption and cost performance etc. The traditional 51 series single-chip microcomputer is replaced, and at the same time, the ARM single-chip microcomputer integrates a large number of on-chip and external devices inside the chip, so the function and reliability are greatly improved. It can be conveniently programmed through the single-chip microcomputer to realize functions such as collection control, sending and receiving control, strategy reading and writing deployment of the collection controller.

在一个实施例中,在通讯协议方面:采用https协议+域名的方式,https是http协议的安全版,传输过程采用SSL方式进行加密,数据安全得到保障;使用域名而不使用IP,通过DNS转换来达到定向服务器IP的目的,这样当服务器需要搬迁或者修改IP地址时,只要将域名与新的服务器IP对应关系在DNS服务器进行注册,只要保证域名不变,测点就仍可以正确的将数据送达服务器,和服务器进行即时通讯。In one embodiment, in terms of communication protocol: https protocol+domain name is adopted, https is a secure version of http protocol, the transmission process is encrypted by SSL mode, and data security is guaranteed; domain name is used instead of IP, converted through DNS To achieve the purpose of directing the server IP, so that when the server needs to be relocated or the IP address is changed, as long as the corresponding relationship between the domain name and the new server IP is registered on the DNS server, as long as the domain name remains unchanged, the measuring point can still correctly transfer the data Delivered to the server, and instant messaging with the server.

在一个实施例中,在协议模型上,应用反向控制调参机制,实现了远程测点控制调参的功能。当需要调整测点参数时,只需要反向下发遥测策略即可实现远程调参。In one embodiment, on the protocol model, a reverse control parameter adjustment mechanism is applied to realize the function of remote measurement point control parameter adjustment. When it is necessary to adjust the parameters of the measurement points, it is only necessary to reversely issue the telemetry strategy to achieve remote parameter adjustment.

在一个实施例中,http协议的模型实现反向控制,其方式如下:http协议通常被称为无连接协议,但不是真的没有连接,而是客户端和服务器没有保持长连接,服务器只能被动的等待被连接,只有客户端可以主动发起到服务器的连接,服务器无法主动去连接客户端。当客户端需要上报数据时,客户端会发起http请求,服务器收到该请求时,此时已经和客户端建立了连接,接下来服务器会对此次连接请求进行响应,然后拆除连接。In one embodiment, the model of the http protocol implements reverse control in the following manner: the http protocol is generally called a connectionless protocol, but it is not that there is no connection, but that the client and the server do not maintain a long connection, and the server can only Passively waiting to be connected, only the client can actively initiate a connection to the server, and the server cannot actively connect to the client. When the client needs to report data, the client will initiate an http request. When the server receives the request, it has established a connection with the client at this time, and then the server will respond to the connection request, and then disconnect the connection.

在一个实施例中,进一步的,在http响应时,将遥测策略作为附属数据带回给测点,测点上的硬件已经通过编程开发实现了对遥测策略的解析功能,这样当测点收到上报请求http响应携带回来的遥测策略时,进行策略解析和部署,由此达到反向控制的目的。In one embodiment, further, when the http response is made, the telemetry strategy is brought back to the measuring point as ancillary data, and the hardware on the measuring point has been developed through programming to realize the parsing function of the telemetry strategy, so that when the measuring point receives When reporting the telemetry policy carried by the http response of the request, the policy is parsed and deployed, thereby achieving the purpose of reverse control.

在一个实施例中,本发明应用遥测策略实时决策,并给出了实现方法,让测点策略不再是一成不变,是按照实际的测点环境实时调整,达到自适应的目的,让测点的监测行为更有针对性,上报的数据更有效。In one embodiment, the present invention applies telemetry strategy to real-time decision-making, and provides an implementation method, so that the measurement point strategy is no longer static, but is adjusted in real time according to the actual measurement point environment, so as to achieve the purpose of self-adaptation, so that the measurement point strategy The monitoring behavior is more targeted and the reported data is more effective.

在一个实施例中,遥测策略实时决策实现方法为,在传统功能模块的基础上,再部署策略生成规则、自适应遥测策略池和遥测AI适配模块。策略生成规则负责描述策略生成的原则,自适应遥测池用以记录各个测点的个性化遥测策略,遥测AI适配模块用于计算并生成新的策略。In one embodiment, the method for implementing real-time decision-making of telemetry policies is to deploy policy generation rules, adaptive telemetry policy pools, and telemetry AI adaptation modules on the basis of traditional functional modules. The strategy generation rules are responsible for describing the principles of strategy generation, the adaptive telemetry pool is used to record the personalized telemetry strategy of each measurement point, and the telemetry AI adaptation module is used to calculate and generate new strategies.

在一个实施例中,策略生成规则:负责描述策略生成的原则,并进行量化描述。策略生成规则步骤如下:In one embodiment, policy generation rules: responsible for describing the principles of policy generation and performing quantitative descriptions. The steps for policy generation rules are as follows:

进一步的,为了量化策略,引入了权重,对每个测点所要考虑的因素进行列举、排序,并按照两两重要性给出,在通过归一化处理形成测点的生成规则;Furthermore, in order to quantify the strategy, weights are introduced, and the factors to be considered for each measuring point are listed and sorted, and given according to the importance of each pair, and the generation rules of the measuring points are formed through normalization processing;

进一步的,通过归一化处理,得到测点遥测策略生程规则表;Further, through normalization processing, the measurement point telemetry strategy generation rule table is obtained;

进一步的,给每个因素达到的程度进行量化描述,程度由1到10,1表示匹配程度最小,10表示匹配程度最大以此方法给每个因素的匹配程度打分。Further, quantify the degree of each factor, from 1 to 10, 1 means the smallest degree of matching, and 10 means the highest degree of matching. In this way, the degree of matching of each factor is scored.

进一步的,计算出各个遥测指标的决策权重;Further, calculate the decision weight of each telemetry indicator;

进一步的,再次进行归一化处理得到各指标权重;Further, the normalization process is performed again to obtain the weight of each index;

进一步的,在当前规则下,几个遥测指标的重要性排序;Further, under the current rules, the importance ranking of several telemetry indicators;

进一步的,按照权重对指标重要性进行分类,分为一般、重要和非常重要三类。低于30%的为一般,高于30%低于60%的为重要,高于60%的为非常重要,再匹配以告警频率,形成该测点的遥测策略。Furthermore, the importance of indicators is classified according to the weight, which is divided into three categories: general, important and very important. Less than 30% is general, more than 30% and less than 60% is important, and more than 60% is very important, and then matched with the alarm frequency to form a telemetry strategy for the measurement point.

在一个实施例中,策略遥测池用于存储每个测点的遥测策略,基于每个测点因素都具有个性化的特点,在策略池里分别记录和存储每个测点的专属遥测策略,策略池至少包括但不限测点编号,当前策略,决策频率。In one embodiment, the strategy telemetry pool is used to store the telemetry strategy of each measurement point, based on the individual characteristics of each measurement point factor, the exclusive telemetry strategy of each measurement point is recorded and stored in the strategy pool, The strategy pool includes at least but not limited to the number of measurement points, the current strategy, and the frequency of decision-making.

在一个实施例中,遥测适配模块,系统管理员通过控制台录入了遥测生成规则,当云平台收到新的测点遥测数据时,云平台会通知遥测适配模块收到新数据,遥测适配模块就会从数据库里获取新的数据,按照上述的策略,无论是否数据触发了越限告警,该模块都会按照现行的策略生成规则和上述计算规则,生成对应测点的专属策略,并存入策略池,由云平台在给上报http连接回复http响应时带回给测点,由测点部署并执行新的遥测策略。In one embodiment, for the telemetry adaptation module, the system administrator enters the telemetry generation rules through the console, and when the cloud platform receives new point telemetry data, the cloud platform will notify the telemetry adaptation module to receive the new data, and the telemetry The adaptation module will obtain new data from the database. According to the above-mentioned strategy, no matter whether the data triggers an over-limit alarm, the module will generate a dedicated strategy for the corresponding measurement point according to the current strategy generation rules and the above calculation rules, and Stored in the policy pool, the cloud platform will bring it back to the measuring point when replying the http response to the reported http connection, and the measuring point will deploy and execute the new telemetry strategy.

在一个实施例中,将采集和上报功能分开。采集数据可以通过对遥测策略的应用,进行密集采样,先将采样数据统一缓存到闪存卡上,积累到一定量时,对数据记性压缩统一上报。In one embodiment, collection and reporting functions are separated. The collected data can be intensively sampled through the application of the telemetry strategy. First, the sampled data is uniformly cached on the flash memory card. When a certain amount is accumulated, the data is compressed and reported uniformly.

在一个实施例中,如图2和图3所示,在以往固定策略的指导下,每个测点按照设定好的方式和频率采集并上报数据,只要不进行人工干预,会一直保持该方式和频率进行测量。例如,某个测点监测水位情况,系统预设有报警阈值。当该测点频频出现告警越限等情况时,有可能预示周边异常情况的出现,通常水位遥测的采集频率在没有特殊情况下采用低频率的策略进行采集,如果是在汛期,可能在一天内水位上涨就可能突破警戒值,那么这种低频率的上报机制由于过高的延迟不再适用,只有提高该测点的采样频率才能适应水位的快速变化。这时,当有大量的测点需要各式各样的情况需要不同的策略去应对时,人工远程干预的策略的方式也显得力不从心,因此策略智能维护、自适应就也显得更加重要。In one embodiment, as shown in Figure 2 and Figure 3, under the guidance of the previous fixed strategy, each measuring point collects and reports data according to the set method and frequency, as long as there is no manual intervention, the data will always be maintained. How and how often to measure. For example, if a measuring point monitors the water level, the system presets an alarm threshold. When there are frequent alarms and limit violations at this measuring point, it may indicate the occurrence of abnormal conditions in the surrounding area. Usually, the collection frequency of water level telemetry is collected with a low-frequency strategy unless there are special circumstances. If it is in the flood season, it may be within a day. If the water level rises, it may exceed the warning value, so this low-frequency reporting mechanism is no longer applicable due to the high delay. Only by increasing the sampling frequency of the measuring point can it adapt to the rapid change of the water level. At this time, when there are a large number of measurement points that require different strategies to deal with various situations, the strategy of manual remote intervention is also insufficient. Therefore, intelligent maintenance and self-adaptation of strategies are even more important.

在一个实施例中,解决了测点调整参数必须要人工到现场操作的问题和遥测方案不能自动优化的问题等。In one embodiment, the problem that the adjustment parameters of the measurement point must be manually operated on site and the problem that the telemetry scheme cannot be automatically optimized are solved.

为实现上述目的,本实施例采用的技术方案:构建遥测网络拓扑模型,通过硬件方面部署具备双向通讯能力的测点、通讯方面部署双向通讯协议、云平台方面部署常规响应能力和自适应决策能力的网络拓扑模型。In order to achieve the above purpose, the technical solution adopted in this embodiment: build a telemetry network topology model, deploy measuring points with two-way communication capabilities through hardware, deploy two-way communication protocols in communication, and deploy conventional response capabilities and adaptive decision-making capabilities in cloud platforms network topology model.

传统遥测网络拓扑模型,如图2所示,由测点、互联网、防火墙、云服务器和数据仓库组成。各测点负责现场各类指标的收集和上报,互联网作为远程通讯的载体;防火墙用于通讯安全;云服务器用来响应测点的上报请求以及处理各类遥测业务;数据仓库负责存储遥测上报的数据。The traditional telemetry network topology model, as shown in Figure 2, consists of measurement points, the Internet, firewalls, cloud servers, and data warehouses. Each measuring point is responsible for the collection and reporting of various on-site indicators, and the Internet is used as the carrier of remote communication; the firewall is used for communication security; the cloud server is used to respond to the reporting request of the measuring point and handle various telemetry services; the data warehouse is responsible for storing telemetry reports data.

本发明中,给出了部署双向通讯测点的方法,网络拓扑如图2所示,在本发明中,测点由收发模块、采集控制器和各类传感器组成。各组成部分的包括但不限制于以下功能:In the present invention, a method for deploying two-way communication measuring points is given. The network topology is shown in Figure 2. In the present invention, the measuring points are composed of transceiver modules, acquisition controllers and various sensors. The functions of each component include but are not limited to the following:

收发模块:采用4G移动通讯的方式接入互联网,一般情况下接入一家移动运营商即可,在一些重要的测点上,为了保障通讯的可靠性,如图,建议采用多模通讯设备,通过同时冗余接入多运营商的方案来保证网络通讯的可靠性,例如同时接入联通和移动的网络,在建立通讯时,按照信号的强度,选择较强的移动网络接入。Transceiver module: use 4G mobile communication to connect to the Internet. Generally, it is enough to connect to a mobile operator. In some important measurement points, in order to ensure the reliability of communication, as shown in the figure, it is recommended to use multi-mode communication equipment. The reliability of network communication is ensured through simultaneous redundant access to multiple operators, such as simultaneous access to China Unicom and China Mobile networks. When establishing communication, select a stronger mobile network access according to the strength of the signal.

采集控制器:是测点的核心控制设备,具备驱动收发模块和传感器的能力,同时具备策略部署能力。在采集控制器上,配备一定容量的闪存芯片,用于存储各类软件参数。采集控制器不但可以将策略写入闪存芯片,还可以从闪存芯片里读取云平台下发的遥测策略,在合适的时机控制传感器进行指标采样,在合适的时间控制收发模块将数据发往云平台。Acquisition controller: It is the core control device of the measurement point, capable of driving transceiver modules and sensors, and capable of strategy deployment. On the acquisition controller, it is equipped with a flash memory chip with a certain capacity, which is used to store various software parameters. The acquisition controller can not only write the policy into the flash memory chip, but also read the telemetry policy issued by the cloud platform from the flash memory chip, control the sensor to sample indicators at the right time, and control the transceiver module to send data to the cloud at the right time platform.

传统遥测上报模块多采用单上报模式,按照固定的频率和参数采集,即时采集即时上报,当遇到网络故障情况时,往往会出现上报失败导致数据丢失的情况。在本发明中,可以通过策略控制,将采集和上报功能分开。The traditional telemetry reporting module mostly adopts the single reporting mode, collects according to fixed frequency and parameters, and collects and reports immediately. When encountering network failures, reporting failures often result in data loss. In the present invention, the collection and reporting functions can be separated through policy control.

采集数据可以通过对遥测策略的应用,进行密集采样,先将采样数据统一缓存到闪存卡上,积累到一定量时,对数据记性压缩统一上报。这样,既可以提高采样率,又可以很大程度上节省带宽。The collected data can be intensively sampled through the application of the telemetry strategy. First, the sampled data is uniformly cached on the flash memory card. When a certain amount is accumulated, the data is compressed and reported uniformly. In this way, the sampling rate can be increased and the bandwidth can be largely saved.

各类传感器:随着传感器技术的发展,市场上有很多类型的水利相关的传感器可供选择,不仅可以采集水温、水位、流速等常规的指标,还出现了可以测量水质的新型传感器,例如可以测量水的硬度,Ca的含量,测量重金属是否超标,例如测量Hg的摩尔浓度等。这些传感器都已经发展的比较成熟,都具备成熟的协议和API,通过在采集控制器上部署相关的二次开发软件来进行方便的同时接入,由此可以实现各类不同指标的采集功能。Various sensors: With the development of sensor technology, there are many types of water conservancy-related sensors to choose from on the market, not only can collect conventional indicators such as water temperature, water level, flow rate, but also new sensors that can measure water quality, such as Measure the hardness of water, the content of Ca, measure whether heavy metals exceed the standard, such as measuring the molar concentration of Hg, etc. These sensors have been developed relatively mature, and they all have mature protocols and APIs. By deploying relevant secondary development software on the acquisition controller, they can be connected at the same time conveniently, so that the acquisition functions of various indicators can be realized.

进一步的,硬件模型优化:Further, hardware model optimization:

在硬件上,传统的采集模块,都将控制程序以及响应的参数固化到EEPROM上,由于EEPROM属于可编程只读存储器,因此无法实现运行过程的数据写入。在本发明中,在采集控制器上引入闪存芯片,用于存储和读写各类参数。闪存的核心组成部分是闪存颗粒。本发明采用SLC颗粒,Single-Level Cell单层存储单元,一单位空间(cell)可以存储1bit数据,也就是1bit/cell,单颗粒理论擦写次数在10万次以上,对于较低频率的水利采集场景,采用此颗粒无需考虑由读写次数过多导致的功能失效问题。In terms of hardware, the traditional acquisition module solidifies the control program and response parameters on the EEPROM. Since the EEPROM is a programmable read-only memory, it is impossible to write data in the running process. In the present invention, a flash memory chip is introduced into the acquisition controller for storing and reading and writing various parameters. The core component of flash memory is flash memory particles. The present invention adopts SLC particles, Single-Level Cell single-layer storage unit, a unit space (cell) can store 1bit data, that is, 1bit/cell, and the number of erasing and writing of a single particle is more than 100,000 times theoretically. In the collection scene, using this particle does not need to consider the problem of functional failure caused by too many reads and writes.

在采集控制器的实现上,传统采集硬件多采用51系列单片机实现,本发明硬件采用ARM单片机实现,ARM单片机采用了新型的32位ARM核处理器,使其在指令系统,总线结构,调试技术,功耗以及性价比等方面都超过了传统的51系列单片机,同时ARM单片机在芯片内部集成了大量的片内外设,所以功能和可靠性都大大提高。可以方便的通过单片机编程,实现采集控制器的采集控制、收发控制、策略读写部署等功能。In the realization of acquisition controller, the traditional acquisition hardware mostly adopts 51 series single-chip microcomputers to realize, and the hardware of the present invention adopts ARM single-chip microcomputers to realize, and ARM single-chip microcomputer has adopted novel 32-bit ARM core processors, so that it can be used in command system, bus structure, debugging technology , Power consumption and cost performance have surpassed the traditional 51 series single-chip microcomputer, and at the same time, the ARM single-chip microcomputer integrates a large number of on-chip and external devices inside the chip, so the function and reliability are greatly improved. It can be conveniently programmed through the single-chip microcomputer to realize functions such as collection control, sending and receiving control, strategy reading and writing deployment of the collection controller.

在通讯协议方面,传统遥测多采用http协议+服务器IP的方式来实现,这样存在两个问题,直接使用http协议,数据在传输链路没有进行加密,容易出现数据安全问题;直接使用IP地址,当服务器搬迁或者IP出现调整的情况,所有测点将无法上报数据。在本发明里,采用https协议+域名的方式,https是http协议的安全版,传输过程采用SSL方式进行加密,数据安全得到保障;使用域名而不使用IP,通过DNS转换来达到定向服务器IP的目的,这样当服务器需要搬迁或者修改IP地址时,只要将域名与新的服务器IP对应关系在DNS服务器进行注册,只要保证域名不变,测点就仍可以正确的将数据送达服务器,和服务器进行通讯。In terms of communication protocol, traditional telemetry is mostly realized by http protocol + server IP, so there are two problems. If http protocol is used directly, the data is not encrypted in the transmission link, which is prone to data security problems; directly using IP address, When the server is relocated or the IP is adjusted, all measurement points will not be able to report data. In the present invention, the mode of https protocol+domain name is adopted, https is a safe version of http protocol, the transmission process adopts SSL mode to encrypt, and data security is guaranteed; domain name is used instead of IP, and DNS conversion is used to achieve directional server IP Purpose, so that when the server needs to be relocated or the IP address needs to be changed, as long as the corresponding relationship between the domain name and the new server IP is registered on the DNS server, as long as the domain name remains unchanged, the measuring point can still correctly deliver the data to the server, and the server to communicate.

在协议模型上,传统遥测多采用单上报模式,也就是说数据单向的上报给服务器,服务器接受到数据也就完成了一次交互。这样的方式虽然实现了遥测数据上报的基本功能,但是有很大的局限性。本发明里,对上报通讯协议了改进,引入了反向控制调参机制,实现了远程测点控制调参的功能。当需要调整测点参数时,只需要反向下发遥测策略即可实现远程调参。In terms of the protocol model, traditional telemetry mostly adopts a single reporting mode, which means that data is reported to the server in one direction, and the server completes an interaction when it receives the data. Although this method realizes the basic function of telemetry data reporting, it has great limitations. In the present invention, the reporting communication protocol is improved, a reverse control parameter adjustment mechanism is introduced, and the function of remote measuring point control parameter adjustment is realized. When it is necessary to adjust the parameters of the measurement points, it is only necessary to reversely issue the telemetry strategy to achieve remote parameter adjustment.

反向控制时序图,传统遥测方式主要实现了数据的上报功能,对上报是否成功不做进一步处理。本发明采用了反向控制模式,如图6,本发明巧妙的利用了http协议的模型,实现反向控制。In the reverse control sequence diagram, the traditional telemetry method mainly implements the data reporting function, and does not further process whether the reporting is successful. The present invention adopts the reverse control mode, as shown in Fig. 6, the present invention cleverly utilizes the model of the http protocol to realize the reverse control.

进一步的,https协议的模型实现反向控制方式如下:https协议通常被称为无连接协议,但不是真的没有连接,而是客户端和服务器没有保持长连接,服务器只能被动的等待被连接,只有客户端可以主动发起到服务器的连接,服务器无法主动去连接客户端。当客户端需要上报数据时,客户端会发起https请求,服务器收到该请求时,此时已经和客户端建立了连接,接下来服务器会对此次连接请求进行响应,然后拆除连接。一般意义上,https响应多用于表示连接的状态,事实上,可以在https响应时,携带更多的数据,于是,本发明利用此特点,在https响应时,将遥测策略作为附属数据带回给测点,测点上的硬件已经通过编程开发实现了对遥测策略的解析功能,这样当测点收到上报请求https响应携带回来的遥测策略时,进行策略解析和部署,由此达到反向控制的目的。Further, the reverse control method of the https protocol model is as follows: the https protocol is usually called a connectionless protocol, but it is not that there is no connection, but that the client and the server do not maintain a long connection, and the server can only passively wait to be connected , only the client can actively initiate a connection to the server, and the server cannot actively connect to the client. When the client needs to report data, the client will initiate an HTTPS request. When the server receives the request, it has established a connection with the client at this time, and then the server will respond to the connection request and then disconnect the connection. In general, the https response is mostly used to indicate the status of the connection. In fact, more data can be carried in the https response. Therefore, the present invention takes advantage of this feature to bring back the telemetry policy as auxiliary data to the https response. Measuring point, the hardware on the measuring point has realized the parsing function of the telemetry strategy through programming development, so that when the measuring point receives the telemetry strategy carried by the report request https response, it will analyze and deploy the strategy, thereby achieving reverse control the goal of.

云平台方面,传统的云平台一般主要完成数据的收取工作,以数据的收取、存储、监测和基本查询为目的。本发明在此基础上,引入了遥测策略实时决策的概念,并给出了实现方法,让测点策略不再是一成不变,是按照实际的测点环境实时调整,达到自适应的目的,让测点的监测行为更有针对性,上报的数据更有效。实现的方案为,在传统功能模块的基础上,再部署策略生成规则、自适应遥测策略池和遥测适配模块。策略生成规则负责描述策略生成的原则,自适应遥测池用以记录各个测点的个性化遥测策略,遥测适配模块用于计算并生成新的策略。In terms of cloud platforms, traditional cloud platforms generally mainly complete data collection, with the purpose of data collection, storage, monitoring and basic query. On this basis, the present invention introduces the concept of real-time decision-making of telemetry strategy, and provides an implementation method, so that the measurement point strategy is no longer static, but adjusted in real time according to the actual measurement point environment, so as to achieve the purpose of self-adaptation, so that the measurement point The monitoring behavior of the point is more targeted, and the reported data is more effective. The implemented solution is to deploy policy generation rules, adaptive telemetry policy pool and telemetry adaptation module on the basis of traditional functional modules. The strategy generation rules are responsible for describing the principles of strategy generation, the adaptive telemetry pool is used to record the personalized telemetry strategy of each measurement point, and the telemetry adaptation module is used to calculate and generate new strategies.

本发明的策略生成步骤:The strategy generation steps of the present invention:

策略生成规则:负责描述策略生成的原则,并进行量化描述。在不同的时期,不同的环境,遥测各指标关注的重点都不一样,例如雨季或汛期更加关注水位的变化,周边多有工厂的情况更加关注水质的变化等。Strategy generation rules: Responsible for describing the principles of strategy generation and making quantitative descriptions. In different periods and environments, the focus of telemetry indicators is different. For example, more attention is paid to changes in water levels during rainy or flood seasons, and changes in water quality are more concerned when there are many factories around.

进一步的,为了量化策略,引入了权重的概念,对每个测点所要考虑的因素进行列举、排序,并按照两两重要性给出,在通过归一化处理形成改测点的生成规则。Furthermore, in order to quantify the strategy, the concept of weight is introduced, the factors to be considered for each measurement point are listed and sorted, and given according to the importance of each pair, and the generation rules of the measurement points are formed through normalization processing.

进一步的,通过归一化处理,得到测点遥测策略程程规则表。Further, through normalization processing, the measuring point telemetry strategy schedule rule table is obtained.

本发明中,给每个因素达到的程度进行量化描述,程度由1到10,1表示匹配程度最小,10表示匹配程度最大,例如非汛期时,“处于汛期”程度为1,接近汛期时程度可以为5,到达汛期时程度为10,以此方法给每个因素的匹配程度打分。例如:某测点评分如下:处于汛期=10;河道宽度=5;周边工厂=1;此时计算出各个遥测指标的决策权重:水位=10*10/16+5*5/16+1*3/16=9.000;流速=10*5/16+5*10/16+1*3/16=6.437;水质=10*1/16+5*1/16+1*10/16=1.6625;In the present invention, the degree of each factor is quantified and described, the degree is from 1 to 10, 1 means the minimum matching degree, 10 means the largest matching degree, for example, during the non-flood season, the degree of "in the flood season" is 1, and the degree is close to the flood season It can be 5, and the degree is 10 when the flood season arrives. In this way, the matching degree of each factor is scored. For example: the score of a measuring point is as follows: in flood season = 10; river width = 5; surrounding factories = 1; at this time, the decision weight of each telemetry index is calculated: water level = 10*10/16+5*5/16+1* 3/16=9.000; flow rate=10*5/16+5*10/16+1*3/16=6.437; water quality=10*1/16+5*1/16+1*10/16=1.6625;

进一步的,再次进行归一化处理得到各指标权重:水位=9/(9+6.3475+1.6625)*100%=0.526*100%=52.6%;流速=6.375/(9+6.3475+1.6625)*100%=0.375*100%=37.4%;水质=1.6625/(9+6.3475+1.6625)*100%=0.09*100%=9%。Further, the normalization process is performed again to obtain the weight of each index: water level=9/(9+6.3475+1.6625)*100%=0.526*100%=52.6%; flow rate=6.375/(9+6.3475+1.6625)*100 %=0.375*100%=37.4%; water quality=1.6625/(9+6.3475+1.6625)*100%=0.09*100%=9%.

进一步的,在当前规则下,几个遥测指标的重要性排序为水位>流速>水质。进一步的,本发明按照权重对指标重要性进行分类,分为一般、重要和非常重要三类。低于30%的为一般,高于30%低于60%的为重要,高于60%的为非常重要,再匹配以告警频率,即可行程形成该测点的遥测策略。Furthermore, under the current rules, the order of importance of several telemetry indicators is water level > flow rate > water quality. Further, the present invention classifies the index importance according to the weight, and divides them into three categories: general, important and very important. Less than 30% is general, more than 30% and less than 60% is important, and more than 60% is very important, and then matched with the alarm frequency, the telemetry strategy for the measurement point can be formed.

策略遥测池,用于存储每个测点的遥测策略。传统遥测中,遥测设备的上报频率以及传感器的参数都是在出厂设定好的,如果需要调整一般是现场维保人员在现场手动完成调参工作。不会在云平台进行策略的存储。在本发明中,引入了遥测策略池,基于每个测点因素都具有个性化的特点,在策略池里分别记录和存储每个测点的专属遥测策略。Policy telemetry pool, used to store the telemetry policy for each point. In traditional telemetry, the reporting frequency of the telemetry equipment and the parameters of the sensors are set at the factory. If adjustments are required, the on-site maintenance personnel generally complete the parameter adjustment work on site. The policy will not be stored on the cloud platform. In the present invention, a telemetry strategy pool is introduced. Based on the individual characteristics of each measurement point factor, the exclusive telemetry strategy of each measurement point is recorded and stored in the strategy pool.

遥测适配模块,系统管理员通过控制台录入了遥测生成规则,如上述表。当云平台收到新的测点遥测数据时,云平台会通知遥测AI适配模块收到新数据,遥测AI适配模块就会从数据库里获取新的数据,按照上述的策略,无论是否数据触发了越限告警,该模块都会按照现行的策略生成规则和上述计算规则,生成对应测点的专属策略,并存入策略池,由云平台在给上报http连接回复http响应时带回给测点,由测点部署并执行新的遥测策略。In the telemetry adaptation module, the system administrator enters the telemetry generation rules through the console, as shown in the above table. When the cloud platform receives new point telemetry data, the cloud platform will notify the telemetry AI adaptation module to receive the new data, and the telemetry AI adaptation module will obtain new data from the database. When a threshold violation alarm is triggered, the module will generate a dedicated policy corresponding to the measurement point according to the current policy generation rules and the above calculation rules, and store it in the policy pool, and the cloud platform will bring it back to the measurement point when it replies to the http response to the reported http connection. Point, by which the new telemetry policy is deployed and enforced.

在一个实施例中,在进行测点采集前需要进行如下准备工作:In one embodiment, the following preparatory work needs to be performed before the measurement point collection:

具备反向部署的https通讯协议、策略生成规则、自适应遥测策略池和遥测AI适配模块,现叙述如下:With reverse deployed https communication protocol, policy generation rules, adaptive telemetry policy pool and telemetry AI adaptation module, the description is as follows:

(1)具备反向部署的https通讯协议(1) HTTPS communication protocol with reverse deployment

https本质上是http的安全版,因此采用http协议进行描述,在建立通讯时建立https连接即可,这样数据在通讯过程中实现了基于SSL连接的加密,确保了数据的安全性。HTTPS is essentially a secure version of HTTP, so the HTTP protocol is used for description. It is enough to establish an HTTPS connection when establishing communication. In this way, the data is encrypted based on the SSL connection during the communication process, ensuring data security.

在http协议上,上报参数有get和post两类方式,post一方面可以携带的数据量高于get方式,另一方面采用二进制传输,从一定程度上加强了数据的传输安全性,因此,采用post方式。在数据的封装上,采用基于文本的JSON格式,结构简单,可维护性强,易于阅读。In the http protocol, there are two methods of reporting parameters: get and post. On the one hand, the amount of data that post can carry is higher than that of get. On the other hand, binary transmission is used, which strengthens the security of data transmission to a certain extent. Therefore, using post mode. In terms of data encapsulation, the text-based JSON format is adopted, which is simple in structure, strong in maintainability, and easy to read.

(2)接口如下:(2) The interface is as follows:

https://云平台域名:端口/interface/getTelemetryData.phphttps://cloud platform domain name:port/interface/getTelemetryData.php

(3)上报方式:POST(3) Reporting method: POST

传入参数:{"测点名称":"","测点位置":"","测点类型":"","上报数据":"","现行策略":"",...}Input parameters: {"measuring point name": "", "measuring point location": "", "measuring point type": "", "reported data": "", "current strategy": "", .. .}

返回数据:{"测点名称":"","是否更新策略":"","新策略":"",...}Return data: {"measurement point name": "", "whether to update the strategy": "", "new strategy": "", ...}

(4)策略生成规则(4) Policy generation rules

对每个测点的考虑因素进行调研和列举,按照1到10分重要性由低到高的方法进行标定,例如:Investigate and list the consideration factors of each measuring point, and calibrate according to the method of 1 to 10 points of importance from low to high, for example:

权重\因素weight\factor 处于汛期in flood season 河道宽度channel width 周边工厂Peripheral factories 水位water level 1010 55 33 流速flow rate 55 1010 33 水质water quality 11 11 1010

(5)自适应遥测策略池(5) Adaptive telemetry policy pool

整理所有的测点,在策略池里进行登记,部署默认策略,如表:Organize all the measurement points, register in the strategy pool, and deploy the default strategy, as shown in the table:

(6)生成采集策略(6) Generate acquisition strategy

(7)几个遥测指标的重要性排序为水位>流速>水质。(7) The order of importance of several telemetry indicators is water level > flow velocity > water quality.

(8)形成新的策略。(8) Form a new strategy.

(9)随着遥测业务的进行,由AI模块来对每个测点的策略进行自适应智能管理,自动调整和更新策略。决策频率是指的同一个测点遥测策略里最高频率项的遥测频率,实际使用中,可以控制每个测点的不同传感器按照策略分时上报,也可以按照决策频率统一上报。按照分时上报得到的数据更有效,对于云平台软件和测点采集控制器的实现逻辑要求较高;按照决策频率统一上报的方式,对于云平台软件和测点采集控制器的实现逻辑要求较低,更易于实现,但会有基于策略方案的冗余数据上报,具体采用那个方式需要按照实际情况来采用。(9) With the progress of the telemetry business, the AI module performs adaptive and intelligent management on the strategy of each measuring point, and automatically adjusts and updates the strategy. Decision-making frequency refers to the telemetry frequency of the highest frequency item in the telemetry strategy of the same measuring point. In actual use, different sensors of each measuring point can be controlled to report time-sharing according to the strategy, or they can be reported uniformly according to the decision-making frequency. The data obtained according to the time-sharing report is more effective, and the implementation logic requirements for the cloud platform software and the measurement point acquisition controller are higher; according to the unified reporting method of decision-making frequency, the implementation logic requirements for the cloud platform software and the measurement point acquisition controller are higher. Low, easier to implement, but there will be redundant data reporting based on policy solutions, and the specific method needs to be adopted according to the actual situation.

实现的时序步骤如下:The timing steps for implementation are as follows:

按照现行部署的遥测策略,采集控制器记录时间,当到达采集数据时间,采集控制器控制向传感器发送数据采集指令;According to the currently deployed telemetry strategy, the acquisition controller records the time, and when the data acquisition time is reached, the acquisition controller controls to send data acquisition instructions to the sensor;

传感器接收到采集指令,采集并获取对应的数据;The sensor receives the collection instruction, collects and obtains the corresponding data;

(3)采集控制器标定数据发送目的地为云平台制定IP和端口;(3) The IP and port of the acquisition controller calibration data are sent to the cloud platform;

(4)利用收发模块通过移动通信网络建立https连接并上报数据,等待回复;(4) Utilize the transceiver module to establish an https connection and report data through the mobile communication network, and wait for a reply;

(5)云平台接收上报数据;(5) The cloud platform receives the reported data;

(6)云平台通知策略AI模块有新数据上报;(6) The cloud platform notifies the policy AI module that there is new data to report;

(7)策略AI模块获取即时数据;(7) The strategic AI module acquires real-time data;

(8)策略AI模块按照策略生成规则对即时数据进行分析计算生成新的遥测策略,或者当人工干预采集策略时,人工可在云平台上设置或修改遥测策略,例如设定某一传感器的采集频率并给出人工干预理由;(8) The strategy AI module analyzes and calculates the real-time data according to the strategy generation rules to generate a new telemetry strategy, or when the collection strategy is manually intervened, the telemetry strategy can be manually set or modified on the cloud platform, such as setting the collection of a certain sensor frequency and give reasons for manual intervention;

(9)策略AI模块将新的遥测策略推送到自适应遥测策略池覆盖对应的就策略;(9) The strategy AI module pushes the new telemetry strategy to the adaptive telemetry strategy pool to cover the corresponding old strategy;

(10)策略AI模块通知云平台策略已就绪;(10) The policy AI module notifies the cloud platform that the policy is ready;

(11)云平台从自适应遥测策略池获取该测点新的遥测策略;(11) The cloud platform obtains the new telemetry strategy of the measuring point from the adaptive telemetry strategy pool;

(12)云平台相应测点建立的https连接,并携带新的遥测策略;(12) The HTTPS connection established by the corresponding measuring point on the cloud platform, and carries a new telemetry strategy;

(13)测点收发模块收到云平台反馈并获取到新的该测点遥测策略;(13) The measuring point transceiver module receives the feedback from the cloud platform and obtains a new telemetry strategy for the measuring point;

(14)测点收发模块将该策略存储到自身闪存卡里并通知采集控制模块;(14) The measuring point transceiver module stores the strategy in its own flash memory card and notifies the acquisition control module;

(15)采集控制模块读取闪存卡里的新策略并执行新策略;(15) the acquisition control module reads the new strategy in the flash memory card and executes the new strategy;

本发明从整体框架上,采用基于物联网的可智能维护遥测系统,主要包括传感器,采集控制器,收发模块,云平台,数据仓库,遥测策略池,策略AI,控制台组成遥测系统,实现软硬件双向数据交互,已达到远程控制采集测略或智能修改采集策略的目的。From the overall framework, the present invention adopts an intelligent maintenance telemetry system based on the Internet of Things, which mainly includes sensors, acquisition controllers, transceiver modules, cloud platforms, data warehouses, telemetry strategy pools, strategy AI, and consoles to form a telemetry system to realize software Hardware two-way data interaction has achieved the purpose of remote control acquisition strategy or intelligent modification of acquisition strategy.

本发明的实现使水文遥测的运维人员在没有设备故障的情况下不用跑各个站点进行参数调节,实现水文遥测设备、通信状态、关键运行信息的远程控制及远程参数调节,显著提升了水文遥测设备的远程控制、运维效率以及智能化,使水文调节参数以及运维的人力和时间成本最大程度的降低。实时水文遥测数据进行反向干预,达到遥测策略实时优化的目的,使遥测不仅能收取远端测点数据,更能自动调整遥测方案进行合理控制,以达到更高效的监测目的,使遥测的数据更即时、有效,更有价值。The realization of the present invention enables the operation and maintenance personnel of hydrological telemetry to realize the remote control and remote parameter adjustment of hydrological telemetry equipment, communication status, and key operating information without having to go to each site for parameter adjustment without equipment failure, which significantly improves hydrological telemetry The remote control, operation and maintenance efficiency and intelligence of the equipment minimize the manpower and time costs of hydrological adjustment parameters and operation and maintenance. Reverse intervention of real-time hydrological telemetry data to achieve the purpose of real-time optimization of telemetry strategy, so that telemetry can not only collect remote measurement point data, but also automatically adjust the telemetry plan for reasonable control, so as to achieve more efficient monitoring purposes and make telemetry data More instant, effective, and more valuable.

但本发明的功能不限于此,一方面,随着单片机技术的发展,可以在水文采集控制器上对采样数据进行预处理,例如去噪、简单统计等,以降低云平台的计算压力;另一方面,本发明采用即时通讯方式,使传感器在需要采集数据、收发数据时开机,再等待状态下处于待机状态,是一种低功耗通讯策略,在野外、交通不便、无法集中供电的测点使用具有更加明显的优势。But the function of the present invention is not limited thereto. On the one hand, with the development of single-chip microcomputer technology, the sampling data can be preprocessed on the hydrological acquisition controller, such as denoising, simple statistics, etc., to reduce the computing pressure of the cloud platform; On the one hand, the present invention adopts the instant communication method, so that the sensor can be turned on when it needs to collect data, send and receive data, and then be in a standby state in the waiting state, which is a low-power communication strategy. Point usage has more obvious advantages.

应该理解的是,虽然图1的流程图中的各个步骤按照箭头的指示依次显示,但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明,这些步骤的执行并没有严格的顺序限制,这些步骤可以以其它的顺序执行。而且,图1中的至少一部分步骤可以包括多个步骤或者多个阶段,这些步骤或者阶段并不必然是在同一时刻执行完成,而是可以在不同的时刻执行,这些步骤或者阶段的执行顺序也不必然是依次进行,而是可以与其它步骤或者其它步骤中的步骤或者阶段的至少一部分轮流或者交替地执行。It should be understood that although the various steps in the flow chart of FIG. 1 are displayed sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in FIG. 1 may include multiple steps or stages, these steps or stages are not necessarily executed at the same moment, but may be executed at different moments, and the execution sequence of these steps or stages is also It is not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least a part of steps or stages in other steps.

在一个实施例中,提供了一种可智能维护水文遥测系统,包括以下程序模块:其中:In one embodiment, an intelligently maintainable hydrological telemetry system is provided, comprising the following program modules: wherein:

测点模块:用于根据第一采集策略采集测点位置水域数据,并将所述水域数据发送至云平台;其中,所述测点模块包括收发器、采集控制器和多个传感器;所述采集控制器根据第一采集策略控制多个传感器采集测点位置水域的多组数据生成测点位置水域数据;其中,所述水域数据包括多个传感器采集到的多组数据;所述将所述水域数据发送至云平台包括所述收发器通过移动通信网络建立https连接所述云平台,并将所述水域数据发送至所述云平台;Measuring point module: used to collect water area data at the location of the measuring point according to the first acquisition strategy, and send the water area data to the cloud platform; wherein, the measuring point module includes a transceiver, an acquisition controller and a plurality of sensors; the The acquisition controller controls a plurality of sensors to collect multiple sets of data of the water area of the measuring point position according to the first acquisition strategy to generate the water area data of the measuring point position; wherein, the water area data includes multiple sets of data collected by a plurality of sensors; Sending the water area data to the cloud platform includes that the transceiver establishes https to connect to the cloud platform through the mobile communication network, and sends the water area data to the cloud platform;

云平台模块:用于接收所述测点模块发送的水域数据并根据所述水域数据判断所述第一采集策略是否匹配当前测点采集,若否,则根据预设策略生成规则和所述水域数据生成第二采集策略;用于将所述第二采集策略发送至所述测点模块,所述测点模块根据所述第二采集规则采集测点位置水域数据。Cloud platform module: used to receive the water area data sent by the measuring point module and judge whether the first acquisition strategy matches the current measuring point acquisition according to the water area data, if not, generate rules and the water area according to the preset strategy The data generates a second collection strategy; used to send the second collection strategy to the measuring point module, and the measuring point module collects water area data at the location of the measuring point according to the second collection rule.

关于可智能维护水文遥测系统的具体限定可以参见上文中对于可智能维护水文遥测方法的限定,在此不再赘述。上述可智能维护水文遥测系统中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中,也可以以软件形式存储于计算机设备中的存储器中,以便于处理器调用执行以上各个模块对应的操作。For specific limitations on the intelligently maintainable hydrological telemetry system, please refer to the above-mentioned limitations on the intelligently maintainable hydrological telemetry method, which will not be repeated here. Each module in the above-mentioned intelligently maintainable hydrological telemetering system can be fully or partially realized by software, hardware and combinations thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

在一个实施例中,提供了一种计算机设备,该计算机设备可以是终端,其内部结构图可以如图7所示。该计算机设备包括通过系统总线连接的处理器、存储器、通信接口、显示屏和输入系统。其中,该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统和计算机程序。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的通信接口用于与外部的终端进行有线或无线方式的通信,无线方式可通过WIFI、运营商网络、NFC(近场通信)或其他技术实现。该计算机程序被处理器执行时以实现一种可智能维护水文遥测方法。该计算机设备的显示屏可以是液晶显示屏或者电子墨水显示屏,该计算机设备的输入系统可以是显示屏上覆盖的触摸层,也可以是计算机设备外壳上设置的按键、轨迹球或触控板,还可以是外接的键盘、触控板或鼠标等。In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure may be as shown in FIG. 7 . The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, an operator network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, a method for intelligently maintaining hydrological telemetry is realized. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad provided on the computer device shell , and can also be an external keyboard, touchpad, or mouse.

本领域技术人员可以理解,图7中示出的结构,仅仅是与本申请方案相关的部分结构的框图,并不构成对本申请方案所应用于其上的计算机设备的限定,具体的计算机设备可以包括比图中所示更多或更少的部件,或者组合某些部件,或者具有不同的部件布置。Those skilled in the art can understand that the structure shown in Figure 7 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation to the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

在一个实施例中,提供了一种计算机设备,包括存储器和处理器,存储器中存储有计算机程序,涉及上述实施例方法中的全部或部分流程。In one embodiment, a computer device is provided, including a memory and a processor, and a computer program is stored in the memory, which relates to all or part of the processes in the methods of the above embodiments.

在一个实施例中,提供了一种计算机可读存储介质,其上存储有计算机程序,涉及上述实施例方法中的全部或部分流程。In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, relating to all or part of the procedures in the methods of the above-mentioned embodiments.

本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程,是可以通过计算机程序来指令相关的硬件来完成,所述的计算机程序可存储于一非易失性计算机可读取存储介质中,该计算机程序在执行时,可包括如上述各方法的实施例的流程。其中,本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用,均可包括非易失性和易失性存储器中的至少一种。非易失性存储器可包括只读存储器(Read-Only Memory,ROM)、磁带、软盘、闪存或光存储器等。易失性存储器可包括随机存取存储器(Random Access Memory,RAM)或外部高速缓冲存储器。作为说明而非局限,RAM可以是多种形式,比如静态随机存取存储器(Static Random Access Memory,SRAM)或动态随机存取存储器(Dynamic Random Access Memory,DRAM)等。Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile memory and volatile memory. The non-volatile memory may include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory or optical memory, and the like. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

以上实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

以上所述实施例仅表达了本申请的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本申请构思的前提下,还可以做出若干变形和改进,这些都属于本申请的保护范围。因此,本申请专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (10)

1. An intelligent maintainable hydrological telemetry method, the method comprising:
the measuring point module collects measuring point position water area data according to a first collecting strategy and sends the water area data to the cloud platform; the measuring point module comprises a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller controls the plurality of sensors to acquire a plurality of groups of data of the measuring point position water area according to a first acquisition strategy to generate measuring point position water area data; wherein the water area data comprises a plurality of groups of data acquired by a plurality of sensors; the step of sending the water area data to a cloud platform comprises the steps that the transceiver establishes https connection with the cloud platform through a mobile communication network, and sends the water area data to the cloud platform;
Judging whether the first acquisition strategy is matched with current measuring point acquisition according to the water area data, and if not, generating a second acquisition strategy according to a preset strategy generation rule and the water area data;
and the second acquisition strategy is sent to the measuring point module, and the measuring point module acquires the measuring point position water area data according to the second acquisition rule.
2. The method of claim 1, wherein the survey point module collects survey point location water data according to a first collection strategy and transmits the water data to a cloud platform, comprising:
the transceiver is accessed to the Internet in a 4G mobile communication mode, multimode communication equipment is adopted, and the reliability of network communication is ensured by simultaneously accessing to a scheme of multiple operators;
the acquisition controller is used for driving the transceiver and the plurality of sensors and deploying the first acquisition strategy and the second acquisition strategy; the acquisition controller is provided with a flash memory chip for storing software parameters;
the plurality of sensors are used for acquiring different index data through protocols and APIs of the sensors, wherein the plurality of sensors comprise a water temperature sensor, a water level sensor, a water quality sensor, a water pressure sensor and a water flow sensor.
3. The method of claim 1, wherein the cloud platform comprises a policy generation rules module, an adaptive telemetry policy pool module, and a telemetry adaptation module; the strategy generation rule module comprises preset strategy generation rules, the self-adaptive telemetry pool records telemetry strategies of all measuring points, and the telemetry adaptation module is used for calculating and generating new strategies.
4. The method of claim 3, wherein the policy generation rule module comprises: enumerating and sequencing the water area factors of each measuring point, and forming a preset strategy generation rule of each target measuring point through normalization processing;
the preset strategy generation rule of each target measuring point is formed through normalization processing, specifically: quantitatively describing the degree reached by each water area factor, wherein the degree is 1 to 10,1 represents the minimum matching degree, 10 represents the maximum matching degree, and scoring the matching degree of each water area factor; the decision weight of each telemetry index is calculated, and each index weight is obtained;
classifying the index importance according to the index weight into three categories of general importance and very important importance; the weight lower than 30% is general, the weight higher than 30% and lower than 60% is important and the weight higher than 60% is very important, and the alarm frequency is matched, so that a second acquisition strategy of the measuring point is obtained.
5. The method of claim 4, wherein the policy telemetry pool is used for storing the acquisition policy of each measuring point, and the dedicated acquisition policy of each measuring point is respectively recorded and stored in the policy pool, and the policy pool comprises the number of each measuring point, the current policy and the decision frequency.
6. The method of claim 5, wherein the telemetry adaptation module obtains policy generation rules through a console, and when the cloud platform receives new measurement point acquisition data, the telemetry adaptation module obtains new data from a database, generates a dedicated policy corresponding to the measurement point according to the current policy generation rules and calculation rules, and stores the dedicated policy into a policy pool.
7. The method of claim 1, wherein the sending the second acquisition strategy to the station module comprises: and the cloud platform establishes https connection with the measuring point module and sends the second acquisition strategy to the measuring point module.
8. An intelligent maintainable hydrological telemetry system, the system comprising:
and a measuring point module: the cloud platform is used for acquiring the water area data of the measuring point position according to the first acquisition strategy and transmitting the water area data to the cloud platform; the measuring point module comprises a transceiver, an acquisition controller and a plurality of sensors; the acquisition controller controls the plurality of sensors to acquire a plurality of groups of data of the measuring point position water area according to a first acquisition strategy to generate measuring point position water area data; wherein the water area data comprises a plurality of groups of data acquired by a plurality of sensors; the step of sending the water area data to a cloud platform comprises the step of establishing https connection with the cloud platform through a mobile communication network by the transceiver and sending the water area data to the cloud platform; cloud platform module: the water area data acquisition module is used for receiving the water area data sent by the measuring point module, judging whether the first acquisition strategy is matched with the current measuring point acquisition according to the water area data, and if not, generating a second acquisition strategy according to a preset strategy generation rule and the water area data; and the measuring point module is used for acquiring the measuring point position water area data according to the second acquisition rule.
9. A computer device comprising a memory and a processor, the memory storing a computer program and site cache data, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium having stored thereon a computer program and site cache data, characterized in that the computer program when executed by a processor implements the steps of the method of any of claims 1 to 7.
CN202310639287.1A 2023-06-01 2023-06-01 A hydrological telemetry method and system capable of intelligent maintenance Pending CN116708495A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117573907A (en) * 2024-01-16 2024-02-20 北京航空航天大学杭州创新研究院 Mobile robot data storage method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117573907A (en) * 2024-01-16 2024-02-20 北京航空航天大学杭州创新研究院 Mobile robot data storage method and system
CN117573907B (en) * 2024-01-16 2024-04-26 北京航空航天大学杭州创新研究院 Mobile robot data storage method and system

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