Abstract: A method collects data in a network having a consumption meter as part of a supply network and containing a sensor. The sensor contains a measuring element which provides raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor contains a communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance. On a basis of the correlation model, time stampings of successive raw measurement data in the sensor are generated, the time stampings are stored in the memory. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated. Whereas raw measurement data is used for on-demand network analysis.

Abstract: A method collects data in a network by operation of a local sensor of a consumption meter where the network is part of a supply network. The network distributes a consumable good. The sensor has a measuring element providing raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor has a wired and/or radio communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance, on the basis of the correlation model time stampings of successive raw measurement data in the sensor are generated. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated and used for network monitoring.

Abstract: A method collects data during operation of a local sensor as a component of a supply network for distributing a consumable. The supply network contains a master in communication with the local sensor via a primary communication path. The sensor contains a measuring element which supplies, as raw measurement data, elementary measurement units. A wired primary communication path is provided between the sensor and the master. To define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model. The time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted via the primary communication path so that the raw measurement data acquired by the measuring element is reconstructed using the correlation model on the basis of the time stamps received by the master, and analyzed.

Abstract: A method collects data via a sensor being part of a supply network which distributes a consumable. The sensor contains a measuring element which provides elementary measuring units, which correspond to a variable or a parameter, as raw measurement data, where consumption data are generated from the elementary measuring units. The sensor has a communication device and a storage device. To determine the measurement resolution of the sensor, the conditions for generating time stamps are determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor based on the correlation model, the time stamps are transmitted via a wired connection and/or via a radio path, with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The consumption data are transmitted in parallel with the time stamps.

Abstract: A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor supplies raw measurement data in the form of elementary measurement units that correspond to a physical or physico-chemical variable or parameter. In order to define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model, time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted so that the raw measurement data acquired by the measuring element is reconstructed on the basis of the time stamps using the correlation model, and analyzed. The transmission is performed with a dynamically adaptable redundancy.

Abstract: A method for collecting data of a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor provides elementary measuring units, which correspond to at least one physical or physico-chemical variable or at least one physical or physico-chemical parameter, as raw measurement data. In order to determine the measurement resolution of the sensor, the conditions for generating time stamps are determined in advance using a correlation model, time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model, and the time stamps are transmitted via a wired connection and/or via a radio path. The raw measurement data are reconstructed and evaluated based on the time stamps with the correlation model. The conditions for generating time stamps can be changed dynamically within the framework of the correlation model.

Abstract: A method collects data, a physical or physico-chemical parameter and/or an operating state, during operation of a sensor. The sensor contains a measuring element which provides elementary measuring units, which correspond to a physical or physico-chemical variable or the physical or physico-chemical parameter, as raw measurement data, and the sensor has a communication device and a memory. To determine the measurement resolution of the sensor, the conditions for generating time stamps are first determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated based on the time stamps using the correlation model. Wherein operating state monitoring of the sensor is carried out by comparing current time stamps with historical and/or empirical time stamps.

Abstract: A method collects data in a network having a consumption meter as part of a supply network and containing a sensor. The sensor contains a measuring element which provides raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor contains a communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance. On a basis of the correlation model, time stampings of successive raw measurement data in the sensor are generated, the time stampings are stored in the memory. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated. Whereas raw measurement data is used for on-demand network analysis.

Abstract: A method collects data in a network by operation of a local sensor of a consumption meter where the network is part of a supply network. The network distributes a consumable good. The sensor has a measuring element providing raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor has a wired and/or radio communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance, on the basis of the correlation model time stampings of successive raw measurement data in the sensor are generated. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated and used for network monitoring.

Abstract: A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor provides elementary measuring units, which correspond to at least one physical or physico-chemical variable or parameter, as raw measurement data. In order to determine the measurement resolution of the sensor, the conditions for generating time stamps are determined in advance using a correlation model, time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted and the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The temporal offset between a sensor and a receiver is corrected by transmitting telegrams to compensate for the temporal offset.

Abstract: A method collects data via a sensor being part of a supply network which distributes a consumable. The sensor contains a measuring element which provides elementary measuring units, which correspond to a variable or a parameter, as raw measurement data, where consumption data are generated from the elementary measuring units. The sensor has a communication device and a storage device. To determine the measurement resolution of the sensor, the conditions for generating time stamps are determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor based on the correlation model, the time stamps are transmitted via a wired connection and/or via a radio path, with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The consumption data are transmitted in parallel with the time stamps.

Abstract: A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor supplies raw measurement data in the form of elementary measurement units that correspond to a physical or physico-chemical variable or parameter. In order to define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model, time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted so that the raw measurement data acquired by the measuring element is reconstructed on the basis of the time stamps using the correlation model, and analyzed. The transmission is performed with a dynamically adaptable redundancy.

Abstract: A method collects data during operation of a local sensor as a component of a supply network for distributing a consumable. The supply network contains a master in communication with the local sensor via a primary communication path. The sensor contains a measuring element which supplies, as raw measurement data, elementary measurement units. A wired primary communication path is provided between the sensor and the master. To define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model. The time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted via the primary communication path so that the raw measurement data acquired by the measuring element is reconstructed using the correlation model on the basis of the time stamps received by the master, and analyzed.

Abstract: A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor provides elementary measuring units, which correspond to at least one physical or physico-chemical variable or parameter, as raw measurement data. In order to determine the measurement resolution of the sensor, the conditions for generating time stamps are determined in advance using a correlation model, time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted and the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The temporal offset between a sensor and a receiver is corrected by transmitting telegrams to compensate for the temporal offset.

Abstract: A method collects data, a physical or physico-chemical parameter and/or an operating state, during operation of a sensor. The sensor contains a measuring element which provides elementary measuring units, which correspond to a physical or physico-chemical variable or the physical or physico-chemical parameter, as raw measurement data, and the sensor has a communication device and a memory. To determine the measurement resolution of the sensor, the conditions for generating time stamps are first determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated based on the time stamps using the correlation model. Wherein operating state monitoring of the sensor is carried out by comparing current time stamps with historical and/or empirical time stamps.

Abstract: A method for collecting data of a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor provides elementary measuring units, which correspond to at least one physical or physico-chemical variable or at least one physical or physico-chemical parameter, as raw measurement data. In order to determine the measurement resolution of the sensor, the conditions for generating time stamps are determined in advance using a correlation model, time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model, and the time stamps are transmitted via a wired connection and/or via a radio path. The raw measurement data are reconstructed and evaluated based on the time stamps with the correlation model. The conditions for generating time stamps can be changed dynamically within the framework of the correlation model.