CN107121943B - Method and device for obtaining health prediction information of intelligent instrument - Google Patents
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Abstract
Description
技术领域technical field
本发明涉及智能仪表技术领域，尤其涉及一种用于获得智能仪表的健康预测信息的方法和装置。The present invention relates to the technical field of smart meters, in particular to a method and device for obtaining health prediction information of a smart meter.
背景技术Background technique
智能仪表在人们生活中的使用范围极为广泛，而由于不同的智能仪表所对应的厂家、功能、安装情况等可能是不同的，因此，很难面向大量智能仪表，来预测其中每个智能仪表的健康状态，这会给智能仪表的用户或厂家带来极大的不便，如由于无法准确获知智能仪表的健康状态，智能仪表的厂家通常在预定的使用年限达到时才更换智能仪表，若智能仪表的实际寿命并未达到预定的使用年限，则将影响用户的正常使用，而若达到预定的使用年限时智能仪表仍处于良好的健康状态，则将造成资源浪费，且会需要厂家花费较大的生产成本。Smart meters are widely used in people's lives, and because different smart meters may have different manufacturers, functions, installations, etc., it is difficult to predict the performance of each smart meter for a large number of smart meters. Health status, which will bring great inconvenience to users or manufacturers of smart meters. For example, because the health status of smart meters cannot be accurately known, manufacturers of smart meters usually replace the smart meters when the predetermined service life is reached. The actual life of the instrument does not reach the predetermined service life, which will affect the normal use of the user. If the smart meter is still in good health when the predetermined service life is reached, it will cause a waste of resources and require the manufacturer to spend a lot of money. Cost of production.
现有技术中，为了监控智能仪表的状态，存在以下技术方案：1)定义状态评价规则和评定量表，并根据所述状态评价规则来标记智能仪表；2)通过设计在线状态监测设备，来获得智能仪表的实时运行状态。上述技术方案仅能监控智能仪表当前的状态，并不具备预测作用。In the prior art, in order to monitor the state of the smart meter, there are the following technical solutions: 1) define a state evaluation rule and an evaluation scale, and mark the smart meter according to the state evaluation rule; 2) by designing an online state monitoring device, Get real-time operating status of smart meters. The above technical solutions can only monitor the current state of the smart meter, and have no predictive function.
发明内容SUMMARY OF THE INVENTION
有鉴于此，本发明的一个实施例解决的问题之一是如何准确地预测智能仪表的健康状态，从而便于针对智能仪表作出准确的维护和/或轮换等决策。In view of this, one of the problems solved by an embodiment of the present invention is how to accurately predict the health state of the smart meter, so as to facilitate accurate maintenance and/or rotation decisions for the smart meter.
根据本发明的一个实施例，提供了一种用于获得智能仪表的健康预测信息的方法，其中，该方法包括：According to an embodiment of the present invention, a method for obtaining health prediction information of a smart meter is provided, wherein the method includes:
获得用于预测智能仪表的健康状态的因子相关性信息，其中，所述因子相关性信息用于指示健康影响因子与健康状态之间的相关性；obtaining factor correlation information for predicting the health state of the smart meter, wherein the factor correlation information is used to indicate the correlation between the health impact factor and the health state;
将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，来获得所述智能仪表的健康预测信息。The factor correlation information and the device-related information of the smart meter are used as inputs to a health evaluation model established based on the life cycle of the smart meter to obtain health prediction information of the smart meter.
根据本发明的一个实施例，提供了一种用于获得智能仪表的健康预测信息的装置，其中，该装置包括：According to an embodiment of the present invention, an apparatus for obtaining health prediction information of a smart meter is provided, wherein the apparatus includes:
第一获得单元，用于获得用于预测智能仪表的健康状态的因子相关性信息，其中，所述因子相关性信息用于指示健康影响因子与健康状态之间的相关性；a first obtaining unit, configured to obtain factor correlation information for predicting the health state of the smart meter, wherein the factor correlation information is used to indicate the correlation between the health impact factor and the health state;
预测单元，用于将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，来获得所述智能仪表的健康预测信息。A prediction unit, configured to use the factor correlation information and the device-related information of the smart meter as the input of a health evaluation model established based on the life cycle of the smart meter to obtain the health prediction information of the smart meter .
与现有技术相比，本发明具有以下优点：考虑到了生命周期以及每个生命阶段对智能仪表的健康状态的影响，通过基于生命周期理论的分析和管理，来实现智能仪表的健康状态的预测，从而可准确且清晰地获知智能仪表在整个生命周期中的健康状态的全局视图，便于智能电网的整体运作；可准确且方便地找到在智能仪表的整个生命周期以及每个生命阶段中的健康影响因子，且通过基于数据库的大数据分析来计算健康影响因子与健康状态之间的因子相关性信息，以准确地预测智能仪表的剩余寿命，以便于作出针对智能仪表的维护或轮换等建议，从而可延长智能仪表的使用寿命，且便于及时对智能仪表进行更换，进而避免由于不及时更换而给用户带来不便；此外，能够基于智能仪表的生命周期来建立健康评价模型，从而将智能仪表的健康状态与生命周期中的生命阶段联系起来，从而使得通过健康评价模型能够可靠且定量的预测智能仪表的健康状态，以便于及时获知智能仪表的健康状态，从而能够及时且准确地作出相应的维护或轮换等决策；可根据所述健康预测信息，优化所述健康评价模型，从而无论环境和条件如何变化，均可实现健康评价模型的动态更新和优化。Compared with the prior art, the present invention has the following advantages: considering the life cycle and the influence of each life stage on the health state of the smart meter, the prediction of the health state of the smart meter is realized through analysis and management based on the life cycle theory , so that the global view of the health status of the smart meter in the whole life cycle can be accurately and clearly obtained, which is convenient for the overall operation of the smart grid; the health status in the entire life cycle and each life stage of the smart meter can be accurately and easily found. Influence factors, and the factor correlation information between health influence factors and health status is calculated through database-based big data analysis to accurately predict the remaining life of smart meters, so as to make recommendations for maintenance or rotation of smart meters, Therefore, the service life of the smart meter can be extended, and it is convenient to replace the smart meter in time, so as to avoid inconvenience to the user due to not replacing it in time; in addition, a health evaluation model can be established based on the life cycle of the smart meter, so that the smart meter The health state of the smart meter is linked with the life stage in the life cycle, so that the health evaluation model can reliably and quantitatively predict the health state of the smart meter, so as to know the health state of the smart meter in time, so as to make the corresponding timely and accurate. Decisions such as maintenance or rotation; the health evaluation model can be optimized according to the health prediction information, so that no matter how the environment and conditions change, the dynamic update and optimization of the health evaluation model can be realized.
附图说明Description of drawings
本发明的其它特点、特征、优点和益处通过以下结合附图的详细描述将变得更加显而易见。Other features, characteristics, advantages and benefits of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings.
图1为根据本发明一个实施例的用于获得智能仪表的健康预测信息的方法的流程示意图；1 is a schematic flowchart of a method for obtaining health prediction information of a smart meter according to an embodiment of the present invention;
图2为根据本发明另一个实施例的用于获得智能仪表的健康预测信息的方法的流程示意图；2 is a schematic flowchart of a method for obtaining health prediction information of a smart meter according to another embodiment of the present invention;
图3为根据本发明一个实施例的用于获得智能仪表的健康预测信息的装置的结构示意图；3 is a schematic structural diagram of an apparatus for obtaining health prediction information of a smart meter according to an embodiment of the present invention;
图4为根据本发明另一个实施例的用于获得智能仪表的健康预测信息的装置的结构示意图；4 is a schematic structural diagram of an apparatus for obtaining health prediction information of a smart meter according to another embodiment of the present invention;
图5为根据本发明一个实施例的计算机设备的通用结构框图。FIG. 5 is a general structural block diagram of a computer device according to an embodiment of the present invention.
具体实施方式Detailed ways
下面将参照附图更详细地描述本公开的优选实施方式。虽然附图中显示了本公开的优选实施方式，然而应该理解，可以以各种形式实现本公开而不应被这里阐述的实施方式所限制。相反，提供这些实施方式是为了使本公开更加透彻和完整，并且能够将本公开的范围完整的传达给本领域的技术人员。Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
图1为根据本发明一个实施例的用于获得智能仪表的健康预测信息的方法的流程示意图。FIG. 1 is a schematic flowchart of a method for obtaining health prediction information of a smart meter according to an embodiment of the present invention.
其中，所述智能仪表包括任何结合有计算机技术和检测技术的智能仪器，如智能电表、智能水表等。Wherein, the smart instrument includes any smart instrument combined with computer technology and detection technology, such as smart electricity meter, smart water meter, etc.
其中，本实施例的方法主要通过计算机设备来实现，所述计算机设备包括但不限于网络设备和用户设备等；所述网络设备包括但不限于单个网络服务器、多个网络服务器组成的服务器组或基于云计算(Cloud Computing)的由大量计算机或网络服务器构成的云，其中，云计算是分布式计算的一种，由一群松散耦合的计算机集组成的一个超级虚拟计算机；所述网络设备所处的网络包括但不限于互联网、广域网、城域网、局域网、VPN网络等；所述用户设备包括但不限于PC机、平板电脑等。Wherein, the method of this embodiment is mainly implemented by computer equipment, and the computer equipment includes but is not limited to network equipment and user equipment, etc.; the network equipment includes but is not limited to a single network server, a server group composed of multiple network servers, or Cloud computing (Cloud Computing) is a cloud composed of a large number of computers or network servers, wherein cloud computing is a kind of distributed computing, a super virtual computer composed of a group of loosely coupled computer sets; The network includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, VPN network, etc.; the user equipment includes but is not limited to PCs, tablet computers, etc.
需要说明的是，所述计算机设备仅为举例，其他现有的或今后可能出现的计算机设备如可适用于本发明，也应包含在本发明保护范围以内，并以引用方式包含于此。It should be noted that the computer equipment described is only an example, and other existing or possible computer equipment that may appear in the future, if applicable to the present invention, should also be included within the protection scope of the present invention, and be incorporated herein by reference.
根据本实施例的方法包括步骤S110和步骤S120。The method according to this embodiment includes step S110 and step S120.
在步骤S110中，计算机设备获得用于预测智能仪表的健康状态的因子相关性信息。In step S110, the computer device obtains factor correlation information for predicting the health state of the smart meter.
其中，所述因子相关性信息包括任何用于指示健康影响因子与健康状态之间的相关性的信息，如健康影响因子与健康状态之间的相关系数，或相关函数等。其中，所述健康状态用于指示智能仪表的健康情况，如用于指示智能仪表的剩余寿命长度、有效寿命长度、当前寿命阶段等。其中，所述健康影响因子包括任何会影响智能仪表的健康状态的因子，如智能仪表所处环境的潮湿度、外界环境温度，智能仪表的自身温度等。例如，因子相关性信息指示智能仪表所处环境的潮湿度与智能仪表的剩余寿命长度之间的非线性关系。需要说明的是，优选地，所述因子相关信息指示健康影响因子与生命周期中的每个生命阶段的健康状态(如每个生命阶段的时间长度)的相关性。Wherein, the factor correlation information includes any information used to indicate the correlation between the health impact factor and the health status, such as the correlation coefficient between the health impact factor and the health status, or a correlation function. Wherein, the health status is used to indicate the health of the smart meter, for example, used to indicate the remaining life length, effective life length, current life stage, etc. of the smart meter. Wherein, the health impact factor includes any factor that will affect the health state of the smart meter, such as the humidity of the environment where the smart meter is located, the temperature of the outside environment, and the temperature of the smart meter itself. For example, the factor correlation information indicates a non-linear relationship between the humidity of the environment in which the smart meter is located and the remaining life length of the smart meter. It should be noted that, preferably, the factor correlation information indicates the correlation between the health impact factor and the health status of each life stage in the life cycle (eg, the time length of each life stage).
需要说明的是，优选地，所述因子相关性信息可用于指示单个健康影响因子与健康状态之间的相关性，也可用于指示至少两个健康影响因子与健康状态之间的复合相关性。例如，因子相关性信息包括：潮湿度与智能仪表的剩余寿命长度之间的相关系数、温度与智能仪表的剩余寿命长度之间的相关系数，以及潮湿度和温度相结合与智能仪表的剩余寿命长度之间的复合相关系数。It should be noted that, preferably, the factor correlation information may be used to indicate the correlation between a single health-influencing factor and the health state, or may be used to indicate the composite correlation between at least two health-influencing factors and the health state. For example, the factor correlation information includes: the correlation coefficient between humidity and the remaining life length of the smart meter, the correlation coefficient between the temperature and the remaining life length of the smart meter, and the combination of humidity and temperature and the remaining life of the smart meter Composite correlation coefficient between lengths.
具体地，计算机设备可采用多种方式获得用于预测智能仪表的健康状态的因子相关性信息。Specifically, the computer device can obtain the factor correlation information for predicting the health state of the smart meter in various ways.
例如，计算机设备接收其他设备所测量到的用于预测智能仪表的健康状态的因子相关性信息。For example, a computer device receives factor correlation information measured by other devices for predicting the health state of a smart meter.
又例如，计算机设备获得操作人员基于经验输入的用于预测智能仪表的健康状态的因子相关性信息。For another example, the computer device obtains the factor correlation information input by the operator based on experience for predicting the health state of the smart meter.
作为一种优选方案，所述步骤S110进一步包括步骤S1110和步骤S1120。As a preferred solution, the step S110 further includes steps S1110 and S1120.
在步骤S1110中，计算机设备建立与基于智能仪表的生命周期所建立的健康评价模型相对应的数据库，所述数据库用于收集适用于所述生命周期的多个智能仪表的生命周期数据。In step S1110, the computer device establishes a database corresponding to the health evaluation model established based on the life cycle of the smart meters, the database is used for collecting life cycle data of a plurality of smart meters applicable to the life cycle.
其中，建立所述健康评价模型的实现方式将在后续实施例中予以详述，在此不再赘述。The implementation manner of establishing the health evaluation model will be described in detail in the subsequent embodiments, and will not be repeated here.
优选地，所述数据库为分布式数据库。Preferably, the database is a distributed database.
其中，智能仪表的生命周期表示智能仪表的全寿命周期，所述生命周期被划分为多个生命阶段；优选地，所述生命周期被划分为以下生命阶段：制造阶段，运输阶段，安装阶段，运行阶段，维护阶段，废弃阶段。Wherein, the life cycle of the smart meter represents the full life cycle of the smart meter, and the life cycle is divided into multiple life stages; preferably, the life cycle is divided into the following life stages: manufacturing stage, transportation stage, installation stage, Operation phase, maintenance phase, decommissioning phase.
需要说明的是，生命周期的划分与智能仪表的功能、适用区域、健康影响因子(能够影响智能仪表的健康状态的影响因子)等多种因素相关，因此，应基于智能仪表的实际情况来将生命周期划分为若干个生命阶段；例如，一种类型的智能仪表在安装阶段不会对其健康状态产生影响，则在对该类型的智能仪表的生命周期进行划分时，可忽略安装阶段。It should be noted that the division of the life cycle is related to various factors such as the function of the smart meter, the applicable area, and the health impact factor (the factor that can affect the health status of the smart meter). Therefore, it should be based on the actual situation of the smart meter. The life cycle is divided into several life stages; for example, if a type of smart meter does not affect its health status during the installation stage, the installation stage can be ignored when dividing the life cycle of this type of smart meter.
其中，所述生命周期数据包括智能仪表的生命周期内的所有数据；优选地，所述生命周期数据包括智能仪表的生命周期中的每个生命阶段相对应的在线数据和离线数据。优选地，所述在线数据包括但不限于：用于测量系统的数据、连续工作时间、气象数据、故障数据、电压数据、电磁干扰数据等；优选地，所述离线数据包括但不限于：智能电表的结构数据、模块信息、厂家(制造商、销售商等)数据、安装数据等。需要说明的是，优选地，数据库存储其收集到的每项生命周期数据，并记录每项生命周期数据所对应的生命阶段。Wherein, the life cycle data includes all data in the life cycle of the smart meter; preferably, the life cycle data includes online data and offline data corresponding to each life stage in the life cycle of the smart meter. Preferably, the online data includes but is not limited to: data for measuring systems, continuous working hours, meteorological data, fault data, voltage data, electromagnetic interference data, etc.; preferably, the offline data includes but is not limited to: intelligent Structure data, module information, manufacturer (manufacturer, seller, etc.) data, installation data, etc. of the meter. It should be noted that, preferably, the database stores each item of life cycle data collected by the database, and records the life stage corresponding to each item of life cycle data.
作为一个示例，具备相同型号的一批智能电表适用于相同的生命周期，在步骤S1110中，计算机设备建立与基于该生命周期所建立的健康评价模型相对应的数据库，该数据库用于收集该批智能电表整个生命周期内的所有在线数据和离线数据。As an example, a batch of smart meters with the same model is applicable to the same life cycle. In step S1110, the computer equipment establishes a database corresponding to the health evaluation model established based on the life cycle, and the database is used to collect the batch of smart meters. All online and offline data for the entire life cycle of a smart meter.
在步骤S1120中，计算机设备根据所述数据库中当前收集到的生命周期数据，计算得到用于预测所述智能仪表的健康状态的因子相关性信息。In step S1120, the computer device calculates and obtains factor correlation information for predicting the health state of the smart meter according to the life cycle data currently collected in the database.
具体地，计算机设备通过对数据库中当前收集到的生命周期数据进行因子相关性分析，来计算健康影响因子与健康状态之间的因子相关性信息。Specifically, the computer device calculates the factor correlation information between the health impact factor and the health state by performing factor correlation analysis on the life cycle data currently collected in the database.
其中，计算机设备可采用多种机器学习方式进行所述因子相关性分析，如聚类分析、多维矩阵分析、支持向量机、回归分析和深度学习等。Among them, the computer equipment can use various machine learning methods to perform the factor correlation analysis, such as cluster analysis, multi-dimensional matrix analysis, support vector machine, regression analysis, and deep learning.
作为一个示例，预定义的健康影响因子包括潮湿度和温度，在步骤S1120中，计算机设备通过对数据库中当前收集到的寿命周期数据进行相关性分析，计算得到潮湿度与剩余寿命长度之间的相关系数C1，以及温度与剩余寿命长度之间的相关系数C2，之后，计算机设备进一步基于神经网络算法，计算得到潮湿度与温度相结合的复合健康影响因子与剩余寿命长度之间的相关函数C3，并将C1、C2和C3作为用于预测智能仪表的健康状态的因子相关性信息。As an example, the predefined health influencing factors include humidity and temperature. In step S1120, the computer device performs correlation analysis on the life cycle data currently collected in the database, and calculates the relationship between humidity and remaining life length. The correlation coefficient C1, and the correlation coefficient C2 between the temperature and the remaining life length, after that, the computer equipment further calculates the correlation function C3 between the composite health impact factor combined with humidity and temperature and the remaining life length based on the neural network algorithm. , and take C1, C2 and C3 as factor correlation information for predicting the health status of smart meters.
需要说明的是，上述举例仅为更好地说明本发明的技术方案，而非对本发明的限制，本领域技术人员应该理解，任何获得用于预测智能仪表的健康状态的因子相关性信息的实现方式，均应包含在本发明的范围内。It should be noted that the above examples are only to better illustrate the technical solutions of the present invention, but not to limit the present invention. Those skilled in the art should understand that any implementation of obtaining factor correlation information for predicting the health state of smart meters All methods should be included in the scope of the present invention.
在步骤S120中，计算机设备将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，来获得所述智能仪表的健康预测信息。In step S120, the computer device uses the factor correlation information and the device-related information of the smart meter as the input of the health evaluation model established based on the life cycle of the smart meter to obtain the health status of the smart meter forecast information.
其中，所述设备相关信息包括任何与所述智能仪表相关的可用于预测其健康状态的信息。优选地，所述设备相关信息包括所述智能仪表当前所处于的其生命周期中的生命阶段，如所述设备相关信息指示智能仪表当前处于运行阶段。更优选地，所述设备相关信息还包括智能仪表当前所对应的外界环境信息和/或所述智能仪表的当前属性信息；其中，所述外界环境信息包括任何用于指示智能仪表外界的物理环境的信息，如智能仪表所处环境中的潮湿度、当前的环境温度等；其中，所述当前属性信息包括任何与智能仪表的当前属性相关的信息，如智能仪表的连续工作时间、当前电压值等。Wherein, the device-related information includes any information related to the smart meter that can be used to predict its health status. Preferably, the device-related information includes a life stage in its life cycle that the smart meter is currently in, for example, the device-related information indicates that the smart meter is currently in a running stage. More preferably, the device-related information further includes external environment information currently corresponding to the smart meter and/or current attribute information of the smart meter; wherein the external environment information includes any physical environment used to indicate the outside of the smart meter information, such as the humidity in the environment where the smart meter is located, the current ambient temperature, etc.; wherein, the current attribute information includes any information related to the current attribute of the smart meter, such as the continuous working time of the smart meter, the current voltage value Wait.
其中，计算机设备可采用多种方式获得所述设备相关信息。例如，计算机设备获得智能仪表所提供的其设备相关信息；又例如，计算机设备获得其他设备通过检测智能仪表所获得的该智能仪表的设备相关信息。The computer device may obtain the device-related information in various ways. For example, the computer device obtains its device-related information provided by the smart meter; for another example, the computer device obtains the device-related information of the smart meter obtained by other devices by detecting the smart meter.
其中，所述健康预测信息包括任何与针对智能仪表的健康状态的预测结果相关的信息。优选地，所述健康预测信息包括但不限于：Wherein, the health prediction information includes any information related to the prediction result of the health state of the smart meter. Preferably, the health prediction information includes but is not limited to:
1)用于指示智能仪表的当前健康状态的预测信息，如健康预测信息指示智能仪表的当前寿命阶段为末期，该寿命阶段表示智能仪表的剩余寿命不足1年。1) Prediction information used to indicate the current health state of the smart meter. For example, the health prediction information indicates that the current life stage of the smart meter is the end, and the life stage indicates that the remaining life of the smart meter is less than 1 year.
2)用于指示智能仪表的未来健康状态的预测信息，如健康预测信息指示智能仪表未来寿命长度的衰减情况，或者，指示预测到的智能仪表未来的寿命长度值为2年。2) Prediction information used to indicate the future health state of the smart meter, for example, the health prediction information indicates the decay of the future life length of the smart meter, or the predicted future life length value of the smart meter is 2 years.
3)针对所述智能仪表的维护建议信息，所述维护建议信息包括任何与针对智能仪表的维护建议相关的信息，如健康预测信息指示日常进行防雨、防晒、防尘等维护操作。3) Maintenance advice information for the smart meter, the maintenance advice information includes any information related to the maintenance advice for the smart meter, such as health prediction information indicating daily maintenance operations such as rain protection, sun protection, and dust protection.
4)针对所述智能仪表的轮换建议信息。其中，所述轮换建议信息包括任何与针对智能仪表的轮换建议相关的信息，如建议立即执行轮换操作，或建议在1个月后执行轮换操作；优选地，可在预测到智能仪表的剩余寿命长度低于预定阈值(如3个月)时，提供针对智能仪表的轮换建议信息，负责轮换操作的人员或厂家可基于所述轮换建议信息以及实际情况进一步确定是否执行智能仪表的轮换。4) Rotation suggestion information for the smart meter. Wherein, the rotation recommendation information includes any information related to the rotation recommendation for the smart meter, such as the recommendation to perform the rotation operation immediately, or the recommendation to perform the rotation operation after one month; preferably, the remaining life of the smart meter can be predicted after When the length is lower than a predetermined threshold (such as 3 months), the rotation recommendation information for the smart meter is provided, and the personnel or manufacturer in charge of the rotation operation can further determine whether to execute the rotation of the smart meter based on the rotation recommendation information and the actual situation.
需要说明的是，上述健康预测信息仅为举例，而非对本发明的限制，本领域技术人员应能理解，任何与针对智能仪表的健康状态的预测结果相关的信息，均应包含在本发明的健康预测信息的范围内。It should be noted that the above health prediction information is only an example, rather than a limitation of the present invention. Those skilled in the art should understand that any information related to the prediction result of the health state of the smart meter should be included in the present invention. health prediction information.
需要说明的是，基于智能仪表的生命周期所建立的健康评价模型，是表示健康评价模型所基于的生命周期(以及生命周期中所包含的生命阶段)与需要预测的智能仪表的生命周期(以及生命周期中所包含的生命阶段)是相同的。It should be noted that the health evaluation model established based on the life cycle of the smart meter represents the life cycle (and the life stages included in the life cycle) on which the health evaluation model is based and the life cycle (and the life cycle included in the life cycle) of the smart meter that needs to be predicted. The life stages included in the life cycle) are the same.
具体地，计算机设备将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，并将健康评价模型的输出作为针对所述智能仪表的健康预测信息。Specifically, the computer device uses the factor correlation information and the device-related information of the smart meter as the input of the health evaluation model established based on the life cycle of the smart meter, and uses the output of the health evaluation model as the output of the health evaluation model. Describe the health prediction information of smart meters.
作为本实施例的一种优选方案，本实施例的方法还包括：计算机设备根据所述健康预测信息，优化所述健康评价模型。As a preferred solution of this embodiment, the method of this embodiment further includes: the computer device optimizes the health evaluation model according to the health prediction information.
根据本实施例的方案，考虑到了生命周期以及每个生命阶段对智能仪表的健康状态的影响，通过基于生命周期理论的分析和管理，来实现智能仪表的健康状态的预测，从而可准确且清晰地获知智能仪表在整个生命周期中的健康状态的全局视图，便于智能电网的整体运作；可准确且方便地找到在智能仪表的整个生命周期以及每个生命阶段中的健康影响因子，且通过基于数据库的大数据分析来计算健康影响因子与健康状态之间的因子相关性信息，可准确地预测智能仪表的剩余寿命，以便于作出针对智能仪表的维护或轮换等建议，从而可延长智能仪表的使用寿命，且便于及时对智能仪表进行更换，进而避免由于不及时更换而给用户带来不便；此外，可根据所述健康预测信息，优化所述健康评价模型，从而无论环境和条件如何变化，均可实现健康评价模型的动态更新和优化。According to the solution of this embodiment, taking into account the life cycle and the impact of each life stage on the health state of the smart meter, the prediction of the health state of the smart meter is realized through the analysis and management based on the life cycle theory, so that the health state of the smart meter can be predicted accurately and clearly It is possible to obtain a global view of the health status of the smart meter in the entire life cycle, which is convenient for the overall operation of the smart grid; it can accurately and conveniently find the health impact factors in the entire life cycle of the smart meter and in each life stage, and through based on The big data analysis of the database to calculate the factor correlation information between the health impact factor and the health status can accurately predict the remaining life of the smart meter, so as to make recommendations for the maintenance or rotation of the smart meter, so as to prolong the life of the smart meter. It has a long service life, and it is convenient to replace the smart meter in time, thereby avoiding inconvenience to users due to not replacing it in time; in addition, the health evaluation model can be optimized according to the health prediction information, so that no matter how the environment and conditions change, The dynamic update and optimization of the health evaluation model can be realized.
图2为本发明另一个实施例的用于获得智能仪表的健康预测信息的方法的流程示意图。根据本实施例的方法包括步骤S110、步骤S120、步骤S130和步骤S140，其中，所述步骤S110和所述步骤S120已在参照图1所示实施例中予以详述，在此不再赘述。FIG. 2 is a schematic flowchart of a method for obtaining health prediction information of a smart meter according to another embodiment of the present invention. The method according to this embodiment includes step S110, step S120, step S130 and step S140, wherein, the step S110 and the step S120 have been described in detail in the embodiment shown in FIG. 1 and will not be repeated here.
其中，所述步骤S130和所述步骤S140在所述步骤S110之前被执行。Wherein, the step S130 and the step S140 are executed before the step S110.
在步骤S130中，计算机设备获得所述生命周期中的每个生命阶段所对应的生命特征信息。In step S130, the computer device obtains the life feature information corresponding to each life stage in the life cycle.
其中，对于每个生命阶段，该生命阶段所对应的生命特征信息包括任何与该生命阶段的特征相关的信息。例如，生命阶段为制造阶段，智能仪表在该生命阶段所对应的生命特征信息包括：智能仪表的生产厂家、系统结构设计、模块连接方式等；又例如，生命阶段为运输阶段，智能仪表在该生命阶段所对应的生命特征信息包括：运输方式(如飞机、汽车等)、起始地点和目标地点、天气情况、密封情况、时间信息等。Wherein, for each life stage, the life feature information corresponding to the life stage includes any information related to the feature of the life stage. For example, the life stage is the manufacturing stage, and the life characteristic information corresponding to the smart meter in this life stage includes: the manufacturer of the smart meter, the system structure design, the module connection method, etc.; for another example, the life stage is the transportation stage, and the smart meter is in this life stage. The life characteristic information corresponding to the life stage includes: transportation mode (such as airplane, automobile, etc.), starting point and destination point, weather condition, sealing condition, time information, and so on.
具体地，计算机设备可采用多种方式获得所述生命周期中的每个生命阶段所对应的生命特征信息。例如，针对一批智能仪表，计算机设备获得操作人员基于经验输入的该批智能仪表的生命周期中的每个生命阶段所对应的生命特征信息。又例如，计算机设备收集具有相同型号的多个智能仪表在整个生命周期中的数据，并基于大数据分析定义该多个智能仪表的生命周期所包含的生命阶段，以及每个生命阶段所对应的生命特征信息。Specifically, the computer device may obtain the life feature information corresponding to each life stage in the life cycle in various ways. For example, for a batch of smart meters, the computer device obtains the life characteristic information corresponding to each life stage in the life cycle of the batch of smart meters entered by the operator based on experience. For another example, the computer equipment collects the data of multiple smart meters with the same model in the entire life cycle, and defines the life stages included in the life cycle of the multiple smart meters based on big data analysis, and the corresponding life stages of each life stage. vital sign information.
需要说明的是，上述举例仅为更好地说明本发明的技术方案，而非对本发明的限制，本领域技术人员应该理解，任何获得所述生命周期中的每个生命阶段所对应的生命特征信息的实现方式，均应包含在本发明的范围内。It should be noted that the above examples are only for better illustrating the technical solutions of the present invention, rather than limiting the present invention. Those skilled in the art should understand that any acquisition of the life characteristics corresponding to each life stage in the life cycle The implementation of the information should be included in the scope of the present invention.
在步骤S140中，计算机设备根据所述生命特征信息，预定义的多个健康影响因子，以及所述多个健康影响因子中的每个健康影响因子与健康状态之间的预设相关性信息，建立与所述智能仪表相对应的健康评价模型。In step S140, according to the vital feature information, a plurality of predefined health influencing factors, and the preset correlation information between each health influencing factor in the plurality of health influencing factors and the health status, the computer device, A health evaluation model corresponding to the smart meter is established.
优选地，所述预定义的多个健康影响因子为可物理表示的能够影响智能仪表的健康状态的影响因子，如潮湿度、温度等。Preferably, the predefined multiple health influencing factors are physically representable influencing factors that can affect the health state of the smart meter, such as humidity, temperature, and the like.
具体地，计算机设备根据生命周期中的每个生命阶段所对应的生命特征信息、预定义的多个健康影响因子、以及所述多个健康影响因子中的每个健康影响因子与健康状态之间的预设相关性信息，建立健康评价模型。该健康评价模型用于预测适用于所述生命周期的智能仪表的健康状态。Specifically, the computer device may, according to the life characteristic information corresponding to each life stage in the life cycle, a plurality of predefined health-influencing factors, and the relationship between each health-influencing factor in the plurality of health-influencing factors and the health state The preset correlation information is established to establish a health evaluation model. The health evaluation model is used to predict the health state of the smart meter suitable for the life cycle.
需要说明的是，优选地，所述健康评价模型中还包括基于生命周期的预定预测规则。It should be noted that, preferably, the health evaluation model further includes a predetermined prediction rule based on a life cycle.
根据本实施例的方案，能够基于智能仪表的生命周期来建立健康评价模型，从而将智能仪表的健康状态与生命周期中的生命阶段联系起来，从而使得通过健康评价模型能够可靠且定量的预测智能仪表的健康状态，以便于及时获知智能仪表的健康状态，从而能够及时且准确地作出相应的维护或轮换等决策。According to the solution of this embodiment, a health evaluation model can be established based on the life cycle of the smart meter, so as to link the health state of the smart meter with the life stages in the life cycle, so that the health evaluation model can reliably and quantitatively predict intelligence The health status of the instrument is easy to know the health status of the smart instrument in time, so that the corresponding maintenance or rotation decisions can be made in a timely and accurate manner.
图3为根据本发明一个实施例的用于获得智能仪表的健康预测信息的装置的结构示意图。FIG. 3 is a schematic structural diagram of an apparatus for obtaining health prediction information of a smart meter according to an embodiment of the present invention.
该用于获得智能仪表的健康预测信息的装置(以下简称为“健康预测装置100”)包括第一获得单元110和预测单元120。The apparatus for obtaining health prediction information of a smart meter (hereinafter referred to as “
第一获得单元110获得用于预测智能仪表的健康状态的因子相关性信息。The first obtaining
其中，所述因子相关性信息包括任何用于指示健康影响因子与健康状态之间的相关性的信息，如健康影响因子与健康状态之间的相关系数，或相关函数等。其中，所述健康状态用于指示智能仪表的健康情况，如用于指示智能仪表的剩余寿命长度、有效寿命长度、当前寿命阶段等。其中，所述健康影响因子包括任何会影响智能仪表的健康状态的因子，如智能仪表所处环境的潮湿度、外界环境温度，智能仪表的自身温度等。例如，因子相关性信息指示智能仪表所处环境的潮湿度与智能仪表的剩余寿命长度之间的非线性关系。需要说明的是，优选地，所述因子相关信息指示健康影响因子与生命周期中的每个生命阶段的健康状态(如每个生命阶段的时间长度)的相关性。Wherein, the factor correlation information includes any information used to indicate the correlation between the health impact factor and the health status, such as the correlation coefficient between the health impact factor and the health status, or a correlation function. Wherein, the health status is used to indicate the health of the smart meter, for example, used to indicate the remaining life length, effective life length, current life stage, etc. of the smart meter. Wherein, the health impact factor includes any factor that will affect the health state of the smart meter, such as the humidity of the environment where the smart meter is located, the temperature of the outside environment, and the temperature of the smart meter itself. For example, the factor correlation information indicates a non-linear relationship between the humidity of the environment in which the smart meter is located and the remaining life length of the smart meter. It should be noted that, preferably, the factor correlation information indicates the correlation between the health impact factor and the health status of each life stage in the life cycle (eg, the time length of each life stage).
需要说明的是，优选地，所述因子相关性信息可用于指示单个健康影响因子与健康状态之间的相关性，也可用于指示至少两个健康影响因子与健康状态之间的复合相关性。例如，因子相关性信息包括：潮湿度与智能仪表的剩余寿命长度之间的相关系数、温度与智能仪表的剩余寿命长度之间的相关系数，以及潮湿度和温度相结合与智能仪表的剩余寿命长度之间的复合相关系数。It should be noted that, preferably, the factor correlation information may be used to indicate the correlation between a single health-influencing factor and the health state, or may be used to indicate the composite correlation between at least two health-influencing factors and the health state. For example, the factor correlation information includes: the correlation coefficient between humidity and the remaining life length of the smart meter, the correlation coefficient between the temperature and the remaining life length of the smart meter, and the combination of humidity and temperature and the remaining life of the smart meter Composite correlation coefficient between lengths.
具体地，第一获得单元110可采用多种方式获得用于预测智能仪表的健康状态的因子相关性信息。Specifically, the first obtaining
例如，第一获得单元110接收其他设备所测量到的用于预测智能仪表的健康状态的因子相关性信息。For example, the first obtaining
又例如，第一获得单元110获得操作人员基于经验输入的用于预测智能仪表的健康状态的因子相关性信息。For another example, the first obtaining
作为一种优选方案，第一获得单元110进一步包括数据库建立单元(图未示)和计算单元(图未示)。As a preferred solution, the first obtaining
数据库建立单元建立与基于智能仪表的生命周期所建立的健康评价模型相对应的数据库，所述数据库用于收集适用于所述生命周期的多个智能仪表的生命周期数据。The database establishment unit establishes a database corresponding to the health evaluation model established based on the life cycle of the smart meter, and the database is used for collecting life cycle data of a plurality of smart meters applicable to the life cycle.
其中，建立所述健康评价模型的实现方式将在后续实施例中予以详述，在此不再赘述。The implementation manner of establishing the health evaluation model will be described in detail in the subsequent embodiments, and will not be repeated here.
优选地，所述数据库为分布式数据库。Preferably, the database is a distributed database.
其中，智能仪表的生命周期表示智能仪表的全寿命周期，所述生命周期被划分为多个生命阶段；优选地，所述生命周期被划分为以下生命阶段：制造阶段，运输阶段，安装阶段，运行阶段，维护阶段，废弃阶段。Wherein, the life cycle of the smart meter represents the full life cycle of the smart meter, and the life cycle is divided into multiple life stages; preferably, the life cycle is divided into the following life stages: manufacturing stage, transportation stage, installation stage, Operation phase, maintenance phase, decommissioning phase.
需要说明的是，生命周期的划分与智能仪表的功能、适用区域、健康影响因子等多种因素相关，因此，应基于智能仪表的实际情况来将生命周期划分为若干个生命阶段；例如，一种类型的智能仪表在安装阶段不会对其健康状态产生影响，则在对该类型的智能仪表的生命周期进行划分时，可忽略安装阶段。It should be noted that the division of the life cycle is related to various factors such as the function, applicable area, and health impact factors of the smart meter. Therefore, the life cycle should be divided into several life stages based on the actual situation of the smart meter; for example, a If a type of smart meter will not affect its health status during the installation phase, the installation phase can be ignored when dividing the life cycle of this type of smart meter.
其中，所述生命周期数据包括智能仪表的生命周期内的所有数据；优选地，所述生命周期数据包括智能仪表的生命周期中的每个生命阶段相对应的在线数据和离线数据。优选地，所述在线数据包括但不限于：用于测量系统的数据、连续工作时间、气象数据、故障数据、电压数据、电磁干扰数据等；优选地，所述离线数据包括但不限于：智能电表的结构数据、模块信息、厂家(制造商、销售商等)数据、安装数据等。需要说明的是，优选地，数据库存储其收集到的每项生命周期数据，并记录每项生命周期数据所对应的生命阶段。Wherein, the life cycle data includes all data in the life cycle of the smart meter; preferably, the life cycle data includes online data and offline data corresponding to each life stage in the life cycle of the smart meter. Preferably, the online data includes but is not limited to: data for measuring systems, continuous working hours, meteorological data, fault data, voltage data, electromagnetic interference data, etc.; preferably, the offline data includes but is not limited to: intelligent Structure data, module information, manufacturer (manufacturer, seller, etc.) data, installation data, etc. of the meter. It should be noted that, preferably, the database stores each item of life cycle data collected by the database, and records the life stage corresponding to each item of life cycle data.
作为一个示例，具备相同型号的一批智能电表适用于相同的生命周期，数据库建立单元建立与基于该生命周期所建立的健康评价模型相对应的数据库，该数据库用于收集该批智能电表整个生命周期内的所有在线数据和离线数据。As an example, a batch of smart meters with the same model is applicable to the same life cycle, the database establishment unit establishes a database corresponding to the health evaluation model established based on the life cycle, and the database is used to collect the entire life cycle of the batch of smart meters. All online and offline data for the period.
计算单元根据所述数据库中当前收集到的生命周期数据，计算得到用于预测所述智能仪表的健康状态的因子相关性信息。The computing unit calculates and obtains factor correlation information for predicting the health state of the smart meter according to the life cycle data currently collected in the database.
具体地，计算单元通过对数据库中当前收集到的生命周期数据进行因子相关性分析，来计算健康影响因子与健康状态之间的因子相关性信息。Specifically, the computing unit calculates the factor correlation information between the health impact factor and the health state by performing factor correlation analysis on the life cycle data currently collected in the database.
其中，计算机设备可采用多种机器学习方式进行所述因子相关性分析，如聚类分析、多维矩阵分析、支持向量机、回归分析和深度学习等。Among them, the computer equipment can use various machine learning methods to perform the factor correlation analysis, such as cluster analysis, multi-dimensional matrix analysis, support vector machine, regression analysis, and deep learning.
作为一个示例，预定义的健康影响因子包括潮湿度和温度，计算单元通过对数据库中当前收集到的寿命周期数据进行相关性分析，计算得到潮湿度与剩余寿命长度之间的相关系数C1，以及温度与剩余寿命长度之间的相关系数C2，之后，计算单元进一步基于神经网络算法，计算得到潮湿度与温度相结合的复合健康影响因子与剩余寿命长度之间的相关函数C3，并将C1、C2和C3作为用于预测智能仪表的健康状态的因子相关性信息。As an example, the predefined health impact factors include humidity and temperature, and the computing unit calculates the correlation coefficient C1 between the humidity and the remaining life length by performing correlation analysis on the life cycle data currently collected in the database, and The correlation coefficient C2 between the temperature and the remaining life length, and then, the computing unit further calculates the correlation function C3 between the composite health impact factor combined with humidity and temperature and the remaining life length based on the neural network algorithm, and calculates C1, C2 and C3 serve as factor correlation information for predicting the health status of smart meters.
需要说明的是，上述举例仅为更好地说明本发明的技术方案，而非对本发明的限制，本领域技术人员应该理解，任何获得用于预测智能仪表的健康状态的因子相关性信息的实现方式，均应包含在本发明的范围内。It should be noted that the above examples are only to better illustrate the technical solutions of the present invention, but not to limit the present invention. Those skilled in the art should understand that any implementation of obtaining factor correlation information for predicting the health state of smart meters All methods should be included in the scope of the present invention.
预测单元120将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，来获得所述智能仪表的健康预测信息。The
其中，所述设备相关信息包括任何与所述智能仪表相关的可用于预测其健康状态的信息。优选地，所述设备相关信息包括所述智能仪表当前所处于的其生命周期中的生命阶段，如所述设备相关信息指示智能仪表当前处于运行阶段。更优选地，所述设备相关信息还包括智能仪表当前所对应的外界环境信息和/或所述智能仪表的当前属性信息；其中，所述外界环境信息包括任何用于指示智能仪表外界的物理环境的信息，如智能仪表所处环境中的潮湿度、当前的环境温度等；其中，所述当前属性信息包括任何与智能仪表的当前属性相关的信息，如智能仪表的连续工作时间、当前电压值等。Wherein, the device-related information includes any information related to the smart meter that can be used to predict its health status. Preferably, the device-related information includes a life stage in its life cycle that the smart meter is currently in, for example, the device-related information indicates that the smart meter is currently in a running stage. More preferably, the device-related information further includes external environment information currently corresponding to the smart meter and/or current attribute information of the smart meter; wherein the external environment information includes any physical environment used to indicate the outside of the smart meter information, such as the humidity in the environment where the smart meter is located, the current ambient temperature, etc.; wherein, the current attribute information includes any information related to the current attribute of the smart meter, such as the continuous working time of the smart meter, the current voltage value Wait.
其中，预测单元120可采用多种方式获得所述设备相关信息。例如，预测单元120获得智能仪表所提供的其设备相关信息；又例如，预测单元120获得其他设备通过检测智能仪表所获得的该智能仪表的设备相关信息。The
其中，所述健康预测信息包括任何与针对智能仪表的健康状态的预测结果相关的信息。优选地，所述健康预测信息包括但不限于：Wherein, the health prediction information includes any information related to the prediction result of the health state of the smart meter. Preferably, the health prediction information includes but is not limited to:
1)用于指示智能仪表的当前健康状态的预测信息，如健康预测信息指示智能仪表的当前寿命阶段为末期，该寿命阶段表示智能仪表的剩余寿命不足1年。1) Prediction information used to indicate the current health state of the smart meter. For example, the health prediction information indicates that the current life stage of the smart meter is the end, and the life stage indicates that the remaining life of the smart meter is less than 1 year.
2)用于指示智能仪表的未来健康状态的预测信息，如健康预测信息指示智能仪表未来寿命长度的衰减情况，或者，指示预测到的智能仪表未来的寿命长度值为2年。2) Prediction information used to indicate the future health state of the smart meter, for example, the health prediction information indicates the decay of the future life length of the smart meter, or the predicted future life length value of the smart meter is 2 years.
3)针对所述智能仪表的维护建议信息，所述维护建议信息包括任何与针对智能仪表的维护建议相关的信息，如健康预测信息指示日常进行防雨、防晒、防尘等维护操作。3) Maintenance advice information for the smart meter, the maintenance advice information includes any information related to the maintenance advice for the smart meter, such as health prediction information indicating daily maintenance operations such as rain protection, sun protection, and dust protection.
4)针对所述智能仪表的轮换建议信息。其中，所述轮换建议信息包括任何与针对智能仪表的轮换建议相关的信息，如建议立即执行轮换操作，或建议在1个月后执行轮换操作；优选地，可在预测到智能仪表的剩余寿命长度低于预定阈值(如3个月)时，提供针对智能仪表的轮换建议信息，负责轮换操作的人员或厂家可基于所述轮换建议信息以及实际情况进一步确定是否执行智能仪表的轮换。4) Rotation suggestion information for the smart meter. Wherein, the rotation recommendation information includes any information related to the rotation recommendation for the smart meter, such as the recommendation to perform the rotation operation immediately, or the recommendation to perform the rotation operation after one month; preferably, the remaining life of the smart meter can be predicted after When the length is lower than a predetermined threshold (such as 3 months), the rotation recommendation information for the smart meter is provided, and the personnel or manufacturer in charge of the rotation operation can further determine whether to execute the rotation of the smart meter based on the rotation recommendation information and the actual situation.
需要说明的是，上述健康预测信息仅为举例，而非对本发明的限制，本领域技术人员应能理解，任何与针对智能仪表的健康状态的预测结果相关的信息，均应包含在本发明的健康预测信息的范围内。It should be noted that the above health prediction information is only an example, rather than a limitation of the present invention. Those skilled in the art should understand that any information related to the prediction result of the health state of the smart meter should be included in the present invention. health prediction information.
需要说明的是，基于智能仪表的生命周期所建立的健康评价模型，是表示健康评价模型所基于的生命周期(以及生命周期中所包含的生命阶段)与需要预测的智能仪表的生命周期(以及生命周期中所包含的生命阶段)是相同的。It should be noted that the health evaluation model established based on the life cycle of the smart meter represents the life cycle (and the life stages included in the life cycle) on which the health evaluation model is based and the life cycle (and the life cycle included in the life cycle) of the smart meter that needs to be predicted. The life stages included in the life cycle) are the same.
具体地，预测单元120将所述因子相关性信息以及所述智能仪表的设备相关信息，作为基于所述智能仪表的生命周期所建立的健康评价模型的输入，并将健康评价模型的输出作为针对所述智能仪表的健康预测信息。Specifically, the
作为本实施例的一种优选方案，本实施例的健康预测装置100还包括模型优化单元(图未示)。模型优化单元根据所述健康预测信息，优化所述健康评价模型。As a preferred solution of this embodiment, the
根据本实施例的方案，考虑到了生命周期以及每个生命阶段对智能仪表的健康状态的影响，通过基于生命周期理论的分析和管理，来实现智能仪表的健康状态的预测，从而可准确且清晰地获知智能仪表在整个生命周期中的健康状态的全局视图，便于智能电网的整体运作；可准确且方便地找到在智能仪表的整个生命周期以及每个生命阶段中的健康影响因子，且通过基于数据库的大数据分析来计算健康影响因子与健康状态之间的因子相关性信息，可准确地预测智能仪表的剩余寿命，以便于作出针对智能仪表的维护或轮换等建议，从而可延长智能仪表的使用寿命，且便于及时对智能仪表进行更换，进而避免由于不及时更换而给用户带来不便；此外，可根据所述健康预测信息，优化所述健康评价模型，从而无论环境和条件如何变化，均可实现健康评价模型的动态更新和优化。According to the solution of this embodiment, taking into account the life cycle and the impact of each life stage on the health state of the smart meter, the prediction of the health state of the smart meter is realized through the analysis and management based on the life cycle theory, so that the health state of the smart meter can be predicted accurately and clearly It is possible to obtain a global view of the health status of the smart meter in the entire life cycle, which is convenient for the overall operation of the smart grid; it can accurately and conveniently find the health impact factors in the entire life cycle of the smart meter and in each life stage, and through based on The big data analysis of the database to calculate the factor correlation information between the health impact factor and the health status can accurately predict the remaining life of the smart meter, so as to make recommendations for the maintenance or rotation of the smart meter, so as to prolong the life of the smart meter. It has a long service life, and it is convenient to replace the smart meter in time, thereby avoiding inconvenience to users due to not replacing it in time; in addition, the health evaluation model can be optimized according to the health prediction information, so that no matter how the environment and conditions change, The dynamic update and optimization of the health evaluation model can be realized.
图4为本发明另一个实施例的用于获得智能仪表的健康预测信息的装置的结构示意图。该用于获得智能仪表的健康预测信息的装置(也即“健康预测装置100”)包括第一获得单元110、预测单元120、第二获得单元130和模型建立单元140。其中，所述第一获得单元110、预测单元120已在参照图3所示实施例中予以详述，在此不再赘述。FIG. 4 is a schematic structural diagram of an apparatus for obtaining health prediction information of a smart meter according to another embodiment of the present invention. The apparatus for obtaining health prediction information of a smart meter (ie, “
其中，第二获得单元130和模型建立单元140在第一获得单元110之前执行操作。Wherein, the second obtaining
第二获得单元130获得所述生命周期中的每个生命阶段所对应的生命特征信息。The second obtaining
其中，对于每个生命阶段，该生命阶段所对应的生命特征信息包括任何与该生命阶段的特征相关的信息。例如，生命阶段为制造阶段，智能仪表在该生命阶段所对应的生命特征信息包括：智能仪表的生产厂家、系统结构设计、模块连接方式等；又例如，生命阶段为运输阶段，智能仪表在该生命阶段所对应的生命特征信息包括：运输方式(如飞机、汽车等)、起始地点和目标地点、天气情况、密封情况、时间信息等。Wherein, for each life stage, the life feature information corresponding to the life stage includes any information related to the feature of the life stage. For example, the life stage is the manufacturing stage, and the life characteristic information corresponding to the smart meter in this life stage includes: the manufacturer of the smart meter, the system structure design, the module connection method, etc.; for another example, the life stage is the transportation stage, and the smart meter is in this life stage. The life characteristic information corresponding to the life stage includes: transportation mode (such as airplane, automobile, etc.), starting point and destination point, weather condition, sealing condition, time information, and so on.
具体地，第二获得单元130可采用多种方式获得所述生命周期中的每个生命阶段所对应的生命特征信息。例如，针对一批智能仪表，第二获得单元130获得操作人员基于经验输入的该批智能仪表的生命周期中的每个生命阶段所对应的生命特征信息。又例如，第二获得单元130收集具有相同型号的多个智能仪表在整个生命周期中的数据，并基于大数据分析定义该多个智能仪表的生命周期所包含的生命阶段，以及每个生命阶段所对应的生命特征信息。Specifically, the second obtaining
需要说明的是，上述举例仅为更好地说明本发明的技术方案，而非对本发明的限制，本领域技术人员应该理解，任何获得所述生命周期中的每个生命阶段所对应的生命特征信息的实现方式，均应包含在本发明的范围内。It should be noted that the above examples are only for better illustrating the technical solutions of the present invention, rather than limiting the present invention. Those skilled in the art should understand that any acquisition of the life characteristics corresponding to each life stage in the life cycle The implementation of the information should be included in the scope of the present invention.
模型建立单元140根据所述生命特征信息，预定义的多个健康影响因子，以及所述多个健康影响因子中的每个健康影响因子与健康状态之间的预设相关性信息，建立与所述智能仪表相对应的健康评价模型。The
优选地，所述预定义的多个健康影响因子为可物理表示的能够影响智能仪表的健康状态的影响因子，如潮湿度、温度等。Preferably, the predefined multiple health influencing factors are physically representable influencing factors that can affect the health state of the smart meter, such as humidity, temperature, and the like.
具体地，模型建立单元140根据生命周期中的每个生命阶段所对应的生命特征信息、预定义的多个健康影响因子、以及所述多个健康影响因子中的每个健康影响因子与健康状态之间的预设相关性信息，建立健康评价模型。该健康评价模型用于预测适用于所述生命周期的智能仪表的健康状态。Specifically, the
需要说明的是，优选地，所述健康评价模型中还包括基于生命周期的预定预测规则。It should be noted that, preferably, the health evaluation model further includes a predetermined prediction rule based on a life cycle.
根据本实施例的方案，能够基于智能仪表的生命周期来建立健康评价模型，从而将智能仪表的健康状态与生命周期中的生命阶段联系起来，从而使得通过健康评价模型能够可靠且定量的预测智能仪表的健康状态，以便于及时获知智能仪表的健康状态，从而能够及时且准确地作出相应的维护或轮换等决策。According to the solution of this embodiment, a health evaluation model can be established based on the life cycle of the smart meter, so as to link the health state of the smart meter with the life stages in the life cycle, so that the health evaluation model can reliably and quantitatively predict intelligence The health status of the instrument is easy to know the health status of the smart instrument in time, so that the corresponding maintenance or rotation decisions can be made in a timely and accurate manner.
图5示出了按照本发明一个实施例的计算机设备200的通用结构框图。计算机设备200可以包括存储器210和处理器220。存储器210可以存储可执行指令。处理器220可以根据存储器210所存储的可执行指令，实现上述用于获得智能仪表的健康预测信息的操作。FIG. 5 shows a general structural block diagram of a
此外，本发明的实施例还提供了一种机器可读介质，其上存储有可执行指令，当所述可执行指令被执行时，使得机器执行处理器220所实现的操作。In addition, embodiments of the present invention also provide a machine-readable medium having executable instructions stored thereon, which, when executed, cause the machine to perform operations implemented by the
上文通过附图和优选实施例对本发明进行了详细展示和说明，然而本发明不限于这些已揭示的实施例，本领域技术人员从中推导出来的其他方案也在本发明的保护范围之内。The present invention is shown and described in detail above through the accompanying drawings and preferred embodiments, however, the present invention is not limited to these disclosed embodiments, and other solutions derived therefrom by those skilled in the art are also within the protection scope of the present invention.
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