CN116708495A - Hydrological telemetering method and system capable of being maintained intelligently - Google Patents
Hydrological telemetering method and system capable of being maintained intelligently Download PDFInfo
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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
Technical Field
The application relates to the technical field of hydrological telemetry capable of being maintained intelligently, in particular to a hydrological telemetry method and a hydrological telemetry system capable of being maintained intelligently.
Background
Hydrological telemetry 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 waves, satellites, PSTN (public switched telephone network) and the like, basically adopts point-to-point transmission, and at present, from the aspect of a topology model, the water conservancy data monitoring enters a cloud acquisition mode from the traditional modes of manual meter reading, local area network statistics and the like. However, two problems are more prominent at the present stage, namely, the problem that manual intervention is required for measuring point modulation and the problem that the telemetering strategy solidification cannot be self-adaptive.
In general, various sensors, such as flow rate, water level, rainfall and the like, have corresponding mature sensors to acquire the state of the sensors, and access the acquisition controller through different local communication protocols. The sensors respectively have different parameters to control the acquisition behavior of the sensors; which hydrologic elements are collected, what time, frequency of collection, etc. also need to be controlled by the collection controller through software parameters. The remote acquisition communication is carried out in the mode of the Internet of things at present, but various parameters related to an acquisition strategy are set when leaving a factory, and once the parameters are set, the parameters are set when the parameters are required to be adjusted, on-site construction or maintenance personnel go to the site, and for hydrological telemetry, the intervals at which all measuring points are often distributed are far, so that the parameter adjustment is finished once, and a large amount of manpower, material resources and time are required to be consumed. However, due to factors such as equipment upgrading, environmental changes around the measuring points, measurement content adjustment and the like, parameter adjustment cannot be avoided, the time and effort are consumed in manually adjusting the measuring point parameters on site, and the measuring point parameters cannot be adjusted in time in the flood season in the prior art.
Disclosure of Invention
Based on the above, aiming at the technical problems, the hydrological telemetering method and system capable of being intelligently maintained are provided to solve the problems that the time and the labor are consumed by manually adjusting the measuring point parameters on site and the measuring point parameters cannot be adjusted in time in the flood season in the prior art.
In a first aspect, a method of intelligent maintainable hydrological telemetry, 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 acquisition controller sends the water area data to a cloud platform, wherein the transceiver establishes https to be connected 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 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.
In the above solution, optionally, the measuring point module collects measuring point position water area data according to a first collection policy, and sends the water area data to a cloud platform, including:
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 collecting 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, a water flow sensor and the like.
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 strategy generation rule module comprises preset strategy generation rules, the self-adaptive telemetry pool records the latest telemetry strategy of each measuring point, and the telemetry adaptation module is used for calculating and generating a new strategy.
In the above solution, further optionally, the policy generation rule module includes: 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.
In the above solution, further optionally, the policy telemetry pool is configured to store an acquisition policy of each measurement point, and record and store, in the policy pool, an exclusive acquisition policy of each measurement point, where the policy pool includes a number of each measurement point, a current policy, and a decision frequency.
In the above scheme, further optionally, the telemetry adaptation module obtains a policy generation rule through the console, when the cloud platform receives new measurement point collection data, the measurement point collection data is immediately stored in the data warehouse, the telemetry adaptation module obtains new data from the data warehouse, generates a dedicated policy corresponding to the measurement point according to the current policy generation rule and the calculation rule, and stores the dedicated policy into the policy pool.
In the above solution, further optionally, the sending the second acquisition policy to the station module includes: and the cloud platform establishes https connection with the measuring point module and sends the second acquisition strategy to the measuring point module.
In a second aspect, 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.
In a third aspect, a computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
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 step of establishing https connection to the cloud platform through a mobile communication network by the transceiver and sending 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 sending the second collection strategy callback to the measuring point module, and collecting the measuring point position water area data by the measuring point module according to the second collection rule.
In a fourth aspect, a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
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 step of establishing https connection to the cloud platform through a mobile communication network by the transceiver and sending 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.
The invention has at least the following beneficial effects:
based on further analysis and research on the problems in the prior art, the invention realizes the problems that the time and the effort are consumed by manually adjusting the measuring point parameters on site in the prior art, and the measuring point parameters cannot be adjusted in time in the flood season. The invention collects the water area data of the measuring point position according to the first collecting strategy by the measuring point module, 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 step of establishing https connection to the cloud platform through a mobile communication network by the transceiver and sending 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.
According to the scheme of the invention, the operation and maintenance personnel of hydrologic telemetry do not need to run to each site to carry out parameter adjustment under the condition of no equipment fault, the remote control and remote parameter adjustment of hydrologic telemetry equipment, communication state and key operation information are realized, the remote control, operation and maintenance efficiency and intelligence of the hydrologic telemetry equipment are obviously improved, and the labor and time costs of hydrologic adjustment parameters and operation and maintenance are reduced to the greatest extent. The real-time hydrological telemetering data is subjected to reverse intervention, so that the purpose of real-time optimization of a telemetering strategy is achieved, the telemetering can not only collect the data of a remote measuring point, but also automatically adjust a telemetering scheme to carry out reasonable control, thereby achieving the purpose of more efficient monitoring, and leading the telemetered data to be more instant, effective and valuable.
Drawings
FIG. 1 is a schematic flow chart of an intelligent maintainable hydrological telemetry method according to one embodiment of the present invention;
FIG. 2 is a topology diagram of a conventional hydrological telemetry center control system provided in one embodiment of the present invention;
FIG. 3 is a topology diagram of a hydrological telemetry center control system provided in one embodiment of the invention;
FIG. 4 is a timing diagram illustrating data interaction of a conventional hydrographic telemetry system according to one embodiment of the present invention;
FIG. 5 is a timing diagram illustrating interaction of data with a hydrographic telemetry system according to one embodiment of the present application;
FIG. 6 is an http directional control communication model according to an embodiment of the present application;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The application provides an intelligent maintenance hydrological telemetering method, which is shown in figure 1 and comprises the following steps:
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 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;
Judging whether the first acquisition strategy is matched with the current measuring point acquisition according to the water area data and the cloud platform strategy rule, and if not, generating a second acquisition strategy according to a preset strategy generation rule and the water area data; the first acquisition strategy and the second acquisition strategy are original strategies and optimized new strategies, and the replacement of the strategies is a continuous iterative process.
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.
In one embodiment, the station module collects station location water area data according to a first collection strategy and sends the water area data to a cloud platform, including:
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.
In one embodiment, the cloud platform comprises a policy generation rule 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.
In one embodiment, the policy generation rule module includes: 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. The weight is adjustable, the index importance can be divided according to the requirements of users, and the users are operation and maintenance personnel for hydrological telemetry.
In one embodiment, 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, wherein the policy pool comprises the number of each measuring point, the current policy and the decision frequency.
In one embodiment, the telemetry adaptation module obtains a policy generation rule through the console, and when the cloud platform receives new measurement point acquisition data, the telemetry adaptation module obtains new data from the database, generates a dedicated policy corresponding to the measurement point according to the current policy generation rule and the calculation rule, and stores the dedicated policy into the policy pool.
In one embodiment, the sending the second acquisition strategy to the station module includes: and the cloud platform establishes https connection with the measuring point module and sends the second acquisition strategy to the measuring point module.
In one embodiment, the method comprises: hardware model, communication protocol and cloud platform. The intelligent maintenance of the hydrological telemetering system is realized by deploying measuring points with bidirectional communication capability through a hardware model, deploying a bidirectional communication protocol in the communication aspect, deploying a conventional response capability and a self-adaptive decision capability in the cloud platform aspect.
In one embodiment, the telemetry network topology comprises a transceiver module, an acquisition controller and various sensors. The components include, but are not limited to, at least the following functions:
and a transceiver module: the method adopts a 4G mobile communication mode to access the Internet, adopts multimode communication equipment, ensures the reliability of network communication by simultaneously accessing schemes of multiple operators, such as simultaneously accessing a communication network and a mobile network, and selects stronger mobile network access according to the strength of signals when establishing communication.
And (3) an acquisition controller: the device is core control equipment of the measuring point, has the capability of driving a transceiver module and a sensor, and has the policy deployment capability. A flash memory chip with a certain capacity is arranged on the acquisition controller and is used for storing various software parameters. The acquisition controller not only can write the strategy into the flash memory chip, but also can read the telemetry strategy issued by the cloud platform from the flash memory chip, control the sensor to sample indexes at proper time, and control the transceiver module to send data to the cloud platform at proper time.
Various sensors: through the protocol and the API of the sensor, relevant secondary development software is deployed on the acquisition controller to perform various simultaneous accesses, thereby realizing the acquisition function of various different indexes.
In one embodiment, the hardware model includes: and introducing a flash memory chip on the acquisition controller for storing, reading and writing various parameters. Furthermore, SLC particles, namely Single-Level cells, namely Single-layer memory cells, can be used for storing 1bit data in a unit space (Cell), namely 1bit/Cell, the theoretical erasing times of the Single particles are more than 10 ten thousand times, and for a water conservancy acquisition scene with lower frequency, the problem of functional failure caused by excessive reading and writing times is not needed to be considered by adopting the particles.
Furthermore, in the implementation of the acquisition controller, the hardware of the invention is realized by adopting the ARM single-chip microcomputer, and the ARM single-chip microcomputer adopts the novel 32-bit ARM core processor, so that the hardware of the invention exceeds the traditional 51-series single-chip microcomputer in the aspects of instruction system, bus structure, debugging technology, power consumption, cost performance and the like, and meanwhile, the ARM single-chip microcomputer integrates a large number of on-chip peripherals inside a chip, so that the functions and the reliability are greatly improved. The functions of acquisition control, receiving and transmitting control, strategy read-write deployment and the like of the acquisition controller can be conveniently realized through singlechip programming.
In one embodiment, in terms of communication protocols: the method of https protocol and domain name is adopted, https is a safe version of http protocol, SSL mode is adopted for encryption in the transmission process, and data security is ensured; the aim of orienting the server IP is achieved through DNS conversion by using the domain name instead of using the IP, so that when the server needs to move or modify the IP address, the corresponding relation between the domain name and the new server IP is registered in the DNS server, and the measuring point can still correctly send data to the server to carry out instant communication with the server as long as the domain name is unchanged.
In one embodiment, a reverse control parameter adjustment mechanism is applied to the protocol model, so that the function of remote measurement point control parameter adjustment is realized. When the parameters of the measuring points need to be adjusted, remote parameter adjustment can be realized only by reversing the downstream telemetry strategy.
In one embodiment, the model of the http protocol implements reverse control in the following manner: the http protocol is often referred to as connectionless protocol, but instead of having no connection in nature, the client and server do not remain long connected, 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 can initiate an http request, and when the server receives the request, connection with the client is established at the moment, the server can respond to the connection request, and then the connection is removed.
In one embodiment, further, in the http response, the telemetry policy is taken back to the measuring point as the auxiliary data, and the hardware on the measuring point has realized the analysis function of the telemetry policy through programming development, so that when the measuring point receives the telemetry policy carried back by the reporting request http response, policy analysis and deployment are performed, thereby achieving the purpose of reverse control.
In one embodiment, the invention applies the telemetry strategy to make a real-time decision, and provides an implementation method, so that the measurement point strategy is not changed any more, and is adjusted in real time according to the actual measurement point environment, thereby achieving the self-adaption purpose, leading the monitoring behavior of the measurement point to be more targeted, and leading the reported data to be more effective.
In one embodiment, the telemetry policy real-time decision implementation method is that based on the traditional functional module, policy generation rules, an adaptive telemetry policy pool and a telemetry AI adapting module are redeployed. The policy generation rule is responsible for describing the principle of policy generation, the adaptive telemetry pool is used for recording the personalized telemetry policy of each measuring point, and the telemetry AI adaptation module is used for calculating and generating a new policy.
In one embodiment, the policy generates rules: and is responsible for describing the principle of strategy generation and carrying out quantitative description. The policy generation rule steps are as follows:
furthermore, in order to quantify strategies, weights are introduced, factors to be considered of each measuring point are listed and sequenced, and given according to the importance of each measuring point, and a generating rule of the measuring point is formed through normalization processing;
further, a measuring point telemetry strategy process rule table is obtained through normalization processing;
Further, the degree reached by each factor is quantitatively described, the degree is from 1 to 10,1 represents the minimum matching degree, and 10 represents the maximum matching degree, so that the matching degree of each factor is scored by the method.
Further, calculating decision weights of the telemetry indexes;
further, carrying out normalization processing again to obtain each index weight;
further, under the current rule, the importance of several telemetry indexes is ranked;
further, the index importance is classified according to the weight, and is classified into three categories of general importance and very important. Below 30% is generally important, above 30% below 60% is important, and above 60% is important, and then the alarm frequency is matched to form the telemetry strategy of the measuring point.
In one embodiment, the policy telemetry pool is used for storing telemetry policies of each measuring point, and based on the characteristic that each measuring point factor has individuation, dedicated telemetry policies of each measuring point are respectively recorded and stored in the policy pool, and the policy pool at least comprises but not limited to a measuring point number, a current policy and a decision frequency.
In one embodiment, a telemetry adaptation module inputs telemetry generation rules through a console, when a cloud platform receives new measurement point telemetry data, the cloud platform informs the telemetry adaptation module of receiving the new data, the telemetry adaptation module acquires the new data from a database, according to the policies, whether the data trigger out-of-limit alarms or not, the module generates exclusive policies corresponding to the measurement points according to the existing policy generation rules and the calculation rules, and stores the exclusive policies into a policy pool, the cloud platform returns the measurement points when reporting http connection replies http responses, and the new telemetry policies are deployed and executed by the measurement points.
In one embodiment, the acquisition and reporting functions are separated. The collected data can be densely sampled by applying a telemetry strategy, the sampled data is uniformly cached on a flash memory card, and when a certain amount of data is accumulated, the data is uniformly compressed and reported.
In one embodiment, as shown in fig. 2 and 3, under the guidance of the conventional fixing strategy, each measuring point collects and reports data according to a set mode and frequency, and the mode and frequency are always kept for measurement as long as no manual intervention is performed. For example, a certain measuring point monitors the water level condition, and the system is preset with an alarm threshold value. When the frequency of the measuring point is in the condition of alarming out of limit, etc., the occurrence of peripheral abnormal conditions is possibly predicted, the collection frequency of water level remote measurement is usually collected by adopting a low-frequency strategy under no special condition, if the water level rises in one day in the flood season, the alarm value can be possibly broken, and the reporting mechanism of the low frequency is not applicable any more due to the too high delay, and only the rapid change of the water level can be adapted to by increasing the sampling frequency of the measuring point. At this time, when a large number of measuring points need different strategies to deal with various situations, the strategy mode of manual remote intervention is also worry-free, so that intelligent maintenance and self-adaption of the strategy are more important.
In one embodiment, the problems that the measurement point adjustment parameters must be manually operated to the site, the problems that the telemetry scheme cannot be automatically optimized, and the like are solved.
In order to achieve the above object, the present embodiment adopts the following technical scheme: the method comprises the steps of constructing a telemetry network topology model, deploying a measuring point with bidirectional communication capability through a hardware aspect, deploying a bidirectional communication protocol through a communication aspect, and deploying a network topology model with conventional response capability and self-adaptive decision capability through a cloud platform aspect.
The traditional telemetry network topology model, as shown in fig. 2, consists of measuring points, the internet, a firewall, a cloud server and a data warehouse. Each measuring point is responsible for collecting and reporting various indexes on site, and the Internet is used as a carrier for remote communication; the firewall is used for communication security; the cloud server is used for responding to the report request of the measuring point and processing various telemetry services; the data warehouse is responsible for storing telemetry-reported data.
In the invention, a method for deploying two-way communication measuring points is provided, the network topology is shown in figure 2, and in the invention, the measuring points consist of a transceiver module, an acquisition controller and various sensors. The components include, but are not limited to, the following functions:
and a transceiver module: the internet is accessed by adopting a 4G mobile communication mode, and a mobile operator is generally accessed, and in order to ensure the reliability of communication at some important measuring points, as shown in the figure, multimode communication equipment is suggested, the reliability of network communication is ensured by simultaneously and redundantly accessing a scheme of multiple operators, for example, a communication network and a mobile network are simultaneously accessed, and when the communication is established, a stronger mobile network access is selected according to the strength of signals.
And (3) an acquisition controller: the device is core control equipment of the measuring point, has the capability of driving a transceiver module and a sensor, and has the policy deployment capability. A flash memory chip with a certain capacity is arranged on the acquisition controller and is used for storing various software parameters. The acquisition controller not only can write the strategy into the flash memory chip, but also can read the telemetry strategy issued by the cloud platform from the flash memory chip, control the sensor to sample indexes at proper time, and control the transceiver module to send data to the cloud platform at proper time.
The traditional telemetry reporting module adopts a single reporting mode, and collects and reports in real time according to fixed frequency and parameters, and when a network fault condition is met, reporting failure often occurs to cause data loss. In the invention, the acquisition and reporting functions can be separated by policy control.
The collected data can be densely sampled by applying a telemetry strategy, the sampled data is uniformly cached on a flash memory card, and when a certain amount of data is accumulated, the data is uniformly compressed and reported. Thus, the sampling rate can be increased, and the bandwidth can be saved to a great extent.
Various sensors: with the development of sensor technology, many types of water conservancy related sensors are available in the market, so that not only can conventional indexes such as water temperature, water level and flow rate be collected, but also novel sensors capable of measuring water quality, such as water hardness, ca content and whether heavy metals exceed standards, such as Hg molar concentration, are presented. The sensors are developed to be more mature, have mature protocols and APIs, and are conveniently accessed simultaneously by deploying related secondary development software on the acquisition controller, so that the acquisition function of various different indexes can be realized.
Further, hardware model optimization:
in terms of hardware, the traditional acquisition module solidifies the control program and the response parameters to the EEPROM, and the EEPROM belongs to the programmable read-only memory, so that the data writing in the operation process cannot be realized. In the invention, a flash memory chip is introduced on an acquisition controller and is used for storing, reading and writing various parameters. The core component of flash memory is flash memory particles. According to the invention, SLC particles are adopted, single-Level Cell Single-layer memory cells are adopted, 1bit data can be stored in one unit space (Cell), namely 1bit/Cell, the theoretical erasing and writing times of Single particles are more than 10 ten thousand times, and for a water conservancy acquisition scene with lower frequency, the problem of functional failure caused by excessive reading and writing times is not required to be considered by adopting the particles.
In the implementation of the acquisition controller, the traditional acquisition hardware is realized by adopting 51 series single-chip microcomputer, the hardware is realized by adopting ARM single-chip microcomputer, and the ARM single-chip microcomputer adopts a novel 32-bit ARM core processor, so that the aspects of an instruction system, a bus structure, a debugging technology, power consumption, cost performance and the like are all superior to those of the traditional 51 series single-chip microcomputer, and meanwhile, the ARM single-chip microcomputer integrates a large number of on-chip peripherals inside a chip, so that the functions and the reliability are greatly improved. The functions of acquisition control, receiving and transmitting control, strategy read-write deployment and the like of the acquisition controller can be conveniently realized through singlechip programming.
In terms of communication protocols, the traditional telemetry is realized by adopting an http protocol and a server IP mode, so that two problems exist, the http protocol is directly used, data is not encrypted in a transmission link, and the data security problem is easy to occur; the IP address is directly used, and when a server is moved or the IP is adjusted, all the measuring points cannot report data. In the invention, an https protocol plus domain name mode is adopted, https is a security version of the http protocol, an SSL mode is adopted for encryption in the transmission process, and the data security is ensured; the aim of directing the server IP is achieved through DNS conversion by using the domain name instead of using the IP, so that when the server needs to move or modify the IP address, the corresponding relation between the domain name and the new server IP is registered in the DNS server, and the measuring point can still correctly send data to the server for communication with the server as long as the domain name is unchanged.
On the protocol model, the traditional telemetry adopts a single reporting mode, that is, data is reported to a server in one direction, and the server receives the data and completes one interaction. Although this approach accomplishes the basic function of telemetry data reporting, it has significant limitations. In the invention, the reporting communication protocol is improved, a reverse control parameter adjusting mechanism is introduced, and the function of remote measuring point control parameter adjusting is realized. When the parameters of the measuring points need to be adjusted, remote parameter adjustment can be realized only by reversing the downstream telemetry strategy.
And the reverse control timing diagram mainly realizes the reporting function of data by the traditional telemetry mode, and does not further process whether the reporting is successful or not. The invention adopts a reverse control mode, as shown in fig. 6, and skillfully utilizes the http protocol model to realize reverse control.
Further, the model implementation reverse control mode of https protocol is as follows: the https protocol is often referred to as connectionless protocol, but rather than truly connectionless, the client and server do not remain long connected, 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 can initiate https request, when the server receives the request, connection with the client is established, the server can respond to the connection request, and then the connection is removed. In a general sense, https responses are mostly used to represent the state of a connection, in fact, more data can be carried in https responses, so the invention uses this feature to bring telemetry strategies back to the measurement points as auxiliary data in https responses, and the hardware on the measurement points has realized the analysis function of telemetry strategies through programming development, so when the measurement points receive the telemetry strategies carried in reporting request https responses, policy analysis and deployment are performed, thereby achieving the purpose of reverse control.
In terms of cloud platform, the traditional cloud platform generally mainly completes data collection work, and aims at data collection, storage, monitoring and basic query. On the basis of the method, the concept of real-time decision of the telemetry strategy is introduced, and an implementation method is provided, so that the measurement point strategy is not changed any more, the real-time adjustment is realized according to the actual measurement point environment, the self-adaption purpose is achieved, the monitoring behavior of the measurement point is more targeted, and the reported data is more effective. The implementation scheme is that policy generation rules, a self-adaptive telemetry policy pool and a telemetry adaptation module are deployed again on the basis of a traditional functional module. The strategy generation rule is responsible for describing the principle of strategy generation, the adaptive telemetry pool is used for recording the personalized telemetry strategy of each measuring point, and the telemetry adaptation module is used for calculating and generating a new strategy.
The strategy generation step of the invention:
policy generation rules: and is responsible for describing the principle of strategy generation and carrying out quantitative description. In different periods and different environments, the focus of attention of each index of the remote measurement is different, for example, the change of water level is more concerned in rainy season or flood season, and the change of water quality is more concerned in the condition of more factories around.
Furthermore, in order to quantify strategies, a concept of weight is introduced, factors to be considered of each measuring point are listed and ordered, and given according to the importance of each measuring point, and a generation rule of the changed measuring point is formed through normalization processing.
Further, a measuring point telemetry strategy program rule table is obtained through normalization processing.
In the invention, the degree reached by each factor is quantitatively described, the degree is 1 to 10,1 indicates that the matching degree is minimum, and 10 indicates that the matching degree is maximum, for example, in a non-flood season, the degree is 1 in the flood season, the degree can be 5 in the near flood season, and the degree reaches 10 in the flood season, so that the matching degree of each factor is scored by the method. For example: the score of a certain measuring point is as follows: in flood season = 10; river channel width = 5; peripheral factory = 1; at this time, the decision weights of the telemetry indexes are calculated: water level = 10 x 10/16+5 x 5/16+1 x 3/16 = 9.000; flow rate = 10 x 5/16+5 x 10/16+1 x 3/16 = 6.437; water quality = 10 x 1/16+5 x 1/16+1 x 10/16 = 1.6625;
further, normalization processing is carried out again to obtain each index weight: 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%.
Further, under current regulations, the importance of several telemetry indicators is ranked as water level > flow rate > water quality. Further, the invention classifies the importance of the index according to the weight, and is divided into three categories of general importance and very important. Below 30% is generally important, above 30% below 60% is important, and above 60% is important, and then the telemetry strategy of the measuring point can be formed by matching with the alarming frequency.
And the strategy telemetry pool is used for storing telemetry strategies of each measuring point. In traditional telemetry, the reporting frequency of telemetry equipment and parameters of a sensor are set in factory, and if adjustment is required, on-site maintenance personnel manually complete parameter adjustment work on site. Policy storage is not performed on the cloud platform. In the invention, a telemetry policy pool is introduced, and based on the characteristic that each measuring point factor has individuation, the exclusive telemetry policy of each measuring point is respectively recorded and stored in the policy pool.
And the telemetry adaptation module enables a system administrator to enter telemetry generation rules, such as the table, through a control console. When the cloud platform receives the telemetry data of the new measuring point, the cloud platform informs the telemetry AI adapting module of receiving the new data, the telemetry AI adapting module obtains the new data from the database, according to the strategy, whether the data trigger out-of-limit alarm or not, the module generates a special strategy corresponding to the measuring point according to the current strategy generation rule and the calculation rule, and stores the special strategy into a strategy pool, the cloud platform returns to the measuring point when reporting an http connection response, and the new telemetry strategy is deployed and executed by the measuring point.
In one embodiment, the following preparation is required before the site acquisition is performed:
the system is provided with an https communication protocol, a strategy generation rule, a self-adaptive telemetry strategy pool and a telemetry AI adapting module which are deployed in reverse, and is described as follows:
(1) Https communication protocol with reverse deployment
The https is essentially a safe version of the http, so that the http protocol is adopted for description, and the https connection is established when the communication is established, so that encryption based on the SSL connection is realized in the communication process of the data, and the safety of the data is ensured.
On the http protocol, the reporting parameters include two modes, namely get and post, wherein the post can carry higher data than the get mode, and binary transmission is adopted on the other hand, so that the data transmission security is enhanced to a certain extent, and therefore, the post mode is adopted. And on the packaging of data, a JSON format based on text is adopted, so that the structure is simple, the maintainability is strong, and the reading is easy.
(2) The interface is as follows:
https:// cloud platform domain name Port/interface/getTelemetryData. Php
(3) Reporting mode POST
And (3) inputting parameters: { "station name": "," site location ": "," station type ": "," report data ": "," current policy ": "",...}
Returning data: { "station name": ", whether to update policy": "," New strategy ": "",...}
(4) Policy generation rules
Consideration factors of each measuring point are studied and enumerated, and the measuring points are calibrated according to a method with importance of 1 to 10 points from low to high, for example:
| weight \factor | Is in flood season | River channel width | Peripheral factory |
| Water level | 10 | 5 | 3 |
| Flow rate | 5 | 10 | 3 |
| Water quality | 1 | 1 | 10 |
(5) Adaptive telemetry policy pool
All the measuring points are arranged, registered in a strategy pool, and default strategies are deployed, such as a table:
(6) Generating acquisition strategies
(7) The importance of several telemetry indicators is ranked as water level > flow rate > water quality.
(8) A new strategy is formed.
(9) And as the telemetering service is carried out, the AI module carries out self-adaptive intelligent management on the strategy of each measuring point, and automatically adjusts and updates the strategy. The decision frequency refers to the telemetry frequency of the highest frequency item in the telemetry strategy of the same measuring point, and in actual use, different sensors of each measuring point can be controlled to report in a time-sharing mode according to the strategy, and also can report in a unified mode according to the decision frequency. The data obtained according to time-sharing reporting is more effective, and the logic requirements for realizing cloud platform software and a measuring point acquisition controller are higher; according to the method for reporting the decision frequency in a unified way, the realization logic requirements on cloud platform software and a measuring point acquisition controller are lower, the realization is easier, but redundant data reporting based on a strategy scheme exists, and the specific adoption of the method is needed to be adopted according to the actual situation.
The time sequence steps are as follows:
according to the telemetry strategy of the current deployment, the acquisition controller records time, and when the time for acquiring data is reached, the acquisition controller controls to send a data acquisition instruction to the sensor;
the sensor receives the acquisition instruction and acquires corresponding data;
(3) The method comprises the steps that a calibration data sending destination of a collection controller formulates an IP and a port for a cloud platform;
(4) The receiving and transmitting module is used for establishing https connection through a mobile communication network and reporting data, and waiting for replying;
(5) The cloud platform receives the reported data;
(6) The cloud platform informs the policy AI module that new data is reported;
(7) The policy AI module obtains instant data;
(8) The strategy AI module analyzes and calculates the instant data according to the strategy generation rule to generate a new telemetry strategy, or when the acquisition strategy is manually interfered, the telemetry strategy can be manually set or modified on the cloud platform, for example, the acquisition frequency of a certain sensor is set, and the manual interference reason is given;
(9) The strategy AI module pushes the new telemetry strategy to the adaptive telemetry strategy pool to cover the corresponding just strategy;
(10) The policy AI module informs the cloud platform that the policy is ready;
(11) The cloud platform acquires a new telemetry strategy of the measuring point from the self-adaptive telemetry strategy pool;
(12) Https connection established by the corresponding measuring points of the cloud platform carries a new telemetry strategy;
(13) The measuring point receiving and transmitting module receives the feedback of the cloud platform and acquires a new measuring point telemetry strategy;
(14) The measuring point receiving and transmitting module stores the strategy into a self flash memory card and notifies the acquisition control module;
(15) The acquisition control module reads the new strategy in the flash memory card and executes the new strategy;
the invention adopts an intelligent maintenance telemetry system based on the Internet of things on an integral framework, mainly comprises a sensor, an acquisition controller, a transceiver module, a cloud platform, a data warehouse, a telemetry policy pool, a policy AI and a console to form the telemetry system, so as to realize two-way data interaction between software and hardware, and achieve the purposes of remotely controlling acquisition and measurement or intelligently modifying an acquisition policy.
According to the invention, 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 obviously improved, and the labor and time costs of hydrologic adjustment parameters and operation and maintenance are reduced to the greatest extent. The real-time hydrological telemetering data is subjected to reverse intervention, so that the purpose of real-time optimization of a telemetering strategy is achieved, the telemetering can not only collect the data of a remote measuring point, but also automatically adjust a telemetering scheme to carry out reasonable control, thereby achieving the purpose of more efficient monitoring, and leading the telemetered data to be more instant, effective and valuable.
However, the function of the invention is not limited to this, on one hand, along with the development of the singlechip technology, the sampled data can be preprocessed on the hydrologic acquisition controller, such as denoising, simple statistics and the like, so as to reduce the calculation pressure of the cloud platform; on the other hand, the invention adopts an instant communication mode, so that the sensor is started when data is required to be acquired and transmitted and received, and is in a standby state when the sensor is in a standby state, and the invention is a low-power consumption communication strategy and has more obvious advantages when used at measuring points which are in the open air, inconvenient in traffic and incapable of intensively supplying power.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed in rotation or alternatively with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, an intelligent maintainable hydrological telemetry system is provided, comprising the following program modules: wherein:
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.
Specific limitations regarding the smart maintainable hydrographic telemetry system may be found in the above limitations on the smart maintainable hydrographic telemetry method and are not described in detail herein. The various modules in the intelligent maintainable hydrological telemetry system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which 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 configured to provide computing 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 a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a smart maintainable hydrological telemetry method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided, including a memory and a processor, the memory having stored therein a computer program, involving all or part of the flow of the methods of the embodiments described above.
In one embodiment, a computer readable storage medium having a computer program stored thereon is provided, involving all or part of the flow of the methods of the embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by 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.
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