CN113556376A - Equipment monitoring method, system and equipment - Google Patents
Equipment monitoring method, system and equipment Download PDFInfo
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- CN113556376A CN113556376A CN202110392373.8A CN202110392373A CN113556376A CN 113556376 A CN113556376 A CN 113556376A CN 202110392373 A CN202110392373 A CN 202110392373A CN 113556376 A CN113556376 A CN 113556376A
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Abstract
The invention provides a method, a system and equipment for monitoring equipment, wherein the method for monitoring the system side comprises the following steps: obtaining reading information of the equipment; determining the state information of the equipment according to the reading information; and converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal. The scheme of the invention can monitor the equipment information in real time in a remote way, and meets the safety requirement of the apartment for the aged.
Description
Technical Field
The present invention relates to the field of device information processing technologies, and in particular, to a device monitoring method, system, and device.
Background
The traditional industry of endowment is artifical intensive industry, and the care of old man uses traditional mode, has many places to cover, for example, the use of domestic electrical equipment or the life must look over and control domestic electrical equipment, and old man all can not be accurate, convenient, quick acquisition domestic electrical equipment's relevant information, brings a great deal of inconvenience for old man's life.
Disclosure of Invention
The invention aims to provide a method, a system and equipment for monitoring equipment. Can monitor equipment information through long-range real-time, satisfy the security demand of endowment apartment.
In order to solve the technical problems, the technical scheme of the invention is as follows:
an equipment monitoring method is applied to a big data cloud platform monitoring system, and comprises the following steps:
obtaining reading information of the equipment;
determining the state information of the equipment according to the reading information;
and converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
Optionally, obtaining reading information of the device includes:
reading information uploaded by equipment is acquired through a concentrator and an acquisition master station, the concentrator is respectively in communication connection with the equipment and the acquisition master station, and the equipment comprises at least one of the following components:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
And (4) optional. When the equipment is a water meter, the reading information comprises: current water pressure information and/or water flow information;
when the device is an ammeter, the reading information comprises: electric quantity information;
when the device is a gas meter, the reading information comprises: gas information and/or gas leakage information;
when the device is a heat meter, the reading information comprises: temperature information and/or flow information.
Optionally, when the device is a water meter, determining the state information of the device according to the reading information, including: comparing the reading information with a first preset threshold, and if the reading information is larger than or smaller than the first preset threshold, determining that the state information of the equipment is abnormal; otherwise, determining that the state of the equipment is normal, wherein the first preset threshold is determined according to historical reading information of the equipment in a preset time period;
when the equipment is an ammeter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the electric quantity information with a second preset threshold, and if the electric quantity information is smaller than or larger than the second preset threshold, determining that the state information of the electric meter is in an early warning state; otherwise, determining the state information of the electric meter to be normal;
when the equipment is a gas meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the gas information with a third preset threshold value, and if the gas information is smaller than the third preset threshold value, determining that the state information of the gas meter is in an early warning state; otherwise, determining the state information of the gas meter to be normal; and/or comparing the gas leakage information with a fourth preset threshold, if the gas leakage information is larger than the fourth preset threshold, determining that the state information of the gas meter is abnormal, otherwise, determining that the state information of the gas meter is normal;
when the device is a hotlist, determining the state information of the device according to the reading information, wherein the step of determining the state information comprises the following steps: if the temperature information is within a fifth preset threshold range, determining that the state information of the hotlist is normal, otherwise determining that the state information of the hotlist is abnormal; and/or if the flow information is within a sixth preset threshold range, determining that the hot state information is normal, otherwise determining that the state information of the hot table is abnormal.
Optionally, the state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
converting the abnormal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to an intelligent terminal; alternatively, the first and second electrodes may be,
and converting the normal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to the intelligent terminal.
Optionally, the abnormal state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
performing semantic analysis on the abnormal state information of the equipment to obtain a plurality of phrases;
carrying out voice synthesis on the plurality of phrases according to a preset voice synthesis template to generate abnormal voice reminding information of the equipment;
and sending the abnormal voice reminding information of the equipment to an intelligent terminal for voice playing or making a call to the intelligent terminal of the associated user according to the abnormal voice reminding information of the equipment.
Optionally, the normal state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
when a query request of a user is received, performing semantic analysis on the normal state information of the equipment to obtain a plurality of first phrases;
carrying out voice synthesis on the plurality of first phrases according to the expected voice synthesis template to generate normal voice reminding information of the equipment; and
and sending the normal voice reminding information of the equipment to an intelligent terminal for voice playing.
The embodiment of the invention also provides a device information processing method, which is applied to a device and comprises the following steps:
obtaining reading information of the equipment;
sending the reading information to a big data cloud platform monitoring system; and converting the state information of the equipment into voice information by the monitoring system, and sending the voice information to the intelligent terminal.
The embodiment of the invention also provides a big data cloud platform monitoring system, which comprises:
the receiving and transmitting module is used for obtaining the reading information of the equipment;
the processing module is used for determining the state information of the equipment according to the reading information;
the transceiver module is also used for converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
An embodiment of the present invention also provides an apparatus, including:
the processing module is used for obtaining reading information of the equipment;
the receiving and sending module is used for sending the reading information to a big data cloud platform monitoring system; and converting the state information of the equipment into voice information by the big data cloud platform monitoring system, and sending the voice information to the intelligent terminal.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, the big data cloud platform monitoring system obtains the reading information of the equipment; determining the state information of the equipment according to the reading information; and converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal. Can monitor domestic equipment information through long-range real-time, satisfy the safety demand of endowment apartment.
Drawings
FIG. 1 is a schematic flow diagram of a method of monitoring equipment in accordance with the present invention;
FIG. 2 is a flow chart illustrating a method of processing device information according to the present invention;
FIG. 3 is a schematic diagram of the architecture of the equipment monitoring system of the present invention;
FIG. 4 is a flow chart illustrating an embodiment of the system of the present invention;
FIG. 5 is a block diagram of an embodiment of the system of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary 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 to 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.
As shown in fig. 1, an embodiment of the present invention provides an apparatus monitoring method, which is applied to a big data cloud platform monitoring system, and the method includes:
and step 13, converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
According to the embodiment of the invention, through the steps 11 to 13, the relevant reading information of the household equipment can be obtained, the state of the equipment is determined according to the reading information, the state information of the equipment is converted into the voice information, and the voice information is sent to the relevant intelligent terminal of the environment where the equipment is located for voice reminding, so that the state of the household equipment can be monitored remotely in real time, and the safety requirement of the apartment for the aged can be met.
In an alternative embodiment of the present invention, the step 11 may include:
step 111, reading information uploaded by equipment is acquired through a concentrator and an acquisition master station, wherein the concentrator is respectively in communication connection with the equipment and the acquisition master station;
the apparatus comprises at least one of:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
Here, the device may include at least one of the above three types of devices, where the first device may be a water meter-based device equipped with a camera acquisition device, an electric meter-based device equipped with a camera acquisition device, a gas meter-based device equipped with a camera acquisition device, or a heat meter-based device equipped with a camera acquisition device; the second device and the third device may also be a water meter, an electric meter, a gas meter or a heat meter.
Specifically, when the device is a water meter, the reading information includes: water pressure information and/or water flow information.
When the device is an ammeter, the reading information comprises: electric quantity information;
when the device is a gas meter, the reading information comprises: gas information and/or gas leakage information.
When the device is a heat meter, the reading information comprises: temperature information and/or flow information.
When the equipment is the first equipment, the image pickup device shoots a display interface of the base table, and the processor of the base table processes the shot image to obtain image information;
for the shot image including the pointer, the process of obtaining the information of the image may include:
preprocessing a shot image to obtain a first result image;
pointer segmentation extraction is carried out on the first result image to obtain an extraction result;
identifying the extraction result and determining the direction of the pointer;
based on the pointer orientation, the value of the reading is obtained.
Performing pointer segmentation extraction from the first result image to obtain an extraction result, including:
acquiring data from the first result image based on the color model to obtain red and black pointer areas;
and respectively processing the red pointer area and the black pointer area to obtain a red pointer and a black pointer.
Further, based on the color model, data acquisition is performed from the first result image, and red and black pointer regions are obtained, including:
acquiring data from the first result image based on a red extraction function in the color model to obtain a red pointer region, wherein the red extraction function may be an interpolated function, and the function returns a corresponding color value of a pixel point, for example, a pixel point region whose red concentration offset component is greater than a first value and less than a second value may be returned as the red pointer region;
similarly, based on a black extraction function in the color model, data acquisition is performed from the first result image to obtain a black pointer region, for example, the black extraction function may be a dir function, the function returns a corresponding color value of the pixel point, for example, a region of the pixel point whose red value is greater than a third value and less than a fourth value, whose green value is greater than a fifth value and less than a sixth value, and whose blue value is greater than a seventh value and less than an eighth value is the black pointer region.
For a four-pointer water meter and an eight-pointer water meter, the same algorithm can be adopted to obtain the areas of the corresponding pointers.
And identifying the pointer in the pointer area, determining the direction of the pointer, and further obtaining the reading value of the pointer according to the direction of the pointer.
For a captured image including a number of wheels, obtaining information of the image may include:
preprocessing the shot image to obtain a second processing result image;
carrying out digital identification and extraction on the roller part from the second processing result image to obtain an extraction result;
based on the extraction results, the value of the reading is obtained.
In an optional embodiment of the present invention, in step 12, determining the state information of the device according to the reading information includes:
when the equipment is a water meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the reading information with a first preset threshold, and if the reading information is larger than the first preset threshold, determining that the state information of the equipment is abnormal; otherwise, determining that the state of the equipment is normal, wherein the first preset threshold is determined according to historical reading information of the equipment in a preset time period;
for example, a preset time period is one month, reading information of the device is uploaded to a big data cloud platform monitoring system every day, the monitoring system records the data, and the data recorded in the month is analyzed, so that whether the currently received reading information is normal or abnormal is determined; the term "daily" is not limited to one time unit, but may also be, for example, a week, a half day, or N hours, where N is a positive integer;
determining the first preset threshold value according to historical reading information of the device within a preset time period may include:
the first preset threshold is determined by the following formula,
where Th is a first preset threshold, D1 to Dn are historical reading information of the devices in the preset time period, n is the number of time units included in the preset time period, for example, n days or n months, a is a preset value, and generally, a is smaller than
It can also be represented by the following formula:
th is a first preset threshold, and n is the number of time units included in a preset time period, for example, n days or n months; the historical reading information is divided into K groups, the values in each group are X1, X2, and Xn, the frequency of each group is f1, f2, and fk, wherein f1, f2, and fk can be obtained according to statistical values; a is a predetermined value, and generally a is less than
When the equipment is an ammeter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the electric quantity information with a second preset threshold, and if the electric quantity information is smaller than the second preset threshold, determining that the state information of the electric meter is in an early warning state; otherwise, determining the state information of the electric meter to be normal;
similarly, the second preset threshold may be determined by the power consumption value of the device in a preset time period in unit time, and the second preset threshold is
X1, X2.. times, Xn is the electricity consumption of each of n days, D1, D2.. times, Dn is the number of days, D is a value within a preset range.
When the equipment is a gas meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the gas information with a third preset threshold value, and if the gas information is smaller than the third preset threshold value, determining that the state information of the gas meter is in an early warning state; otherwise, determining the state information of the gas meter to be normal; and/or comparing the gas leakage information with a fourth preset threshold, if the gas leakage information is larger than the fourth preset threshold, determining that the state information of the gas meter is abnormal, otherwise, determining that the state information of the gas meter is normal;
here, the third preset threshold is a set value, and the fourth preset threshold may also be a set value.
When the device is a hotlist, determining the state information of the device according to the reading information, wherein the step of determining the state information comprises the following steps: if the temperature information is within a fifth preset threshold range, determining that the state information of the hotlist is normal, otherwise determining that the state information of the hotlist is abnormal; and/or if the flow information is within a sixth preset threshold range, determining that the hot state information is normal, otherwise determining that the state information of the hot table is abnormal.
Here, the fifth preset threshold range is a set value, and the sixth preset threshold range is a set value.
In an optional embodiment of the present invention, in step 13, converting the status information of the device into voice information, and sending the voice information to an intelligent terminal includes:
step 131, converting the abnormal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to the intelligent terminal; alternatively, the first and second electrodes may be,
step 132, converting the normal state information of the device into voice information and/or converting the current reading information of the device into voice information, and sending the voice information to the intelligent terminal.
Wherein step 131 may comprise:
step 1311, performing semantic analysis on the abnormal state information of the device to obtain a plurality of phrases;
step 1312, performing voice synthesis on the phrases according to a preset voice synthesis template to generate abnormal voice reminding information of the equipment; the preset speech synthesis templates herein may include: different timbre speech synthesis templates;
and 1313, sending the abnormal voice reminding information of the equipment to an intelligent terminal for voice playing or making a call to the intelligent terminal of the associated user according to the abnormal voice reminding information of the equipment.
For example, when the reading value of the device is abnormal, a voice reminding message is generated in the cloud monitoring system through the intelligent voice synthesis system and is sent to the intelligent terminal, for example, the voice reminding message is sent to a mobile phone of the old or other intelligent devices in the family for voice playing, so that the old at home can know the abnormality of the device according to the voice reminding; of course, the intelligent terminal of the user associated with the device may be automatically dialed according to the voice reminding information, for example, a call may be made to a mobile phone of another family member of the user, or the voice reminding information may be sent to an associated application program of another intelligent terminal to notify the other family member of the user that the home device of the user is abnormal.
In an optional embodiment of the present invention, in step 132, converting the normal state information of the device into voice information, and sending the voice information to the intelligent terminal includes:
step 1321, when receiving a query request of a user, performing semantic analysis on the normal state information of the device to obtain a plurality of first phrases;
and 1322, performing voice synthesis on the plurality of first phrases according to the expected voice synthesis template to generate normal voice reminding information of the equipment.
In an optional embodiment of the present invention, respectively converting the current reading information of the devices into voice information may include: step 1323, performing semantic analysis on the current reading information of the device to obtain a plurality of second phrases, and performing voice synthesis on the plurality of second phrases to generate voice reading information of the device;
and step 1324, sending the voice reading information to the intelligent terminal for voice playing.
For example, when the reading value of the device is normal, a voice reminding message is generated in the cloud monitoring system through the intelligent voice synthesis system, and when the query request of the user is received, the voice reminding message can be sent to the intelligent terminal, for example, the mobile phone of the old man or other intelligent devices in the family for voice playing, so that the old man in the family can know that the device is normal according to the voice reminding; certainly, the reading information of the device can also be subjected to voice synthesis to generate corresponding voice reading information, and when receiving a query request of a user, the voice reading information can be sent to an intelligent terminal, for example, to a mobile phone of the old or other intelligent devices in a family for voice playing; of course, the voice reminding information and the voice reading information can also be sent to other intelligent terminals associated with the user.
In the embodiment of the present invention, the state information of the device may further include balance information of the device, and when the cloud monitoring system receives an inquiry request from the user, the system automatically inquires the balance information of the device, and the voice robot automatically generates corresponding balance voice information and sends the balance voice information to the intelligent terminal or the corresponding inquiry terminal, so that the user can conveniently obtain the corresponding device information.
As shown in fig. 4, an embodiment of the present invention further provides a method for processing device information, which is applied to a device, and the method includes:
step 41, obtaining reading information of the equipment;
step 42, sending the reading information to a big data cloud platform monitoring system; and converting the state information of the equipment into voice information by the monitoring system, and sending the voice information to the intelligent terminal.
The apparatus herein comprises at least one of:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
All three devices can be water meters, electric meters, gas meters or heat meters, and can also comprise other similar household devices.
All the implementation manners in the above embodiments can be applied to the embodiment, and the same technical effects can be achieved.
As shown in fig. 3, an embodiment of the present invention further provides a big data cloud platform monitoring system 30, where the system 30 includes:
the receiving and transmitting module is used for obtaining the reading information of the equipment;
the processing module is used for determining the state information of the equipment according to the reading information;
the transceiver module is also used for converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
The transceiver module obtains reading information uploaded by equipment through a concentrator and an acquisition master station, the concentrator is respectively in communication connection with the equipment and the acquisition master station, and the equipment comprises at least one of the following components:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
Optionally, when the device is a water meter, the reading information includes: water pressure information and/or water flow information;
when the device is an ammeter, the reading information comprises: electric quantity information;
when the device is a gas meter, the reading information comprises: gas information and/or gas leakage information;
when the device is a heat meter, the reading information comprises: temperature information and/or flow information.
Optionally, when the device is a water meter, determining the state information of the device according to the reading information, including: comparing the reading information with a first preset threshold, and if the reading information is larger than or smaller than the first preset threshold, determining that the state information of the equipment is abnormal; otherwise, determining that the state of the equipment is normal, wherein the first preset threshold is determined according to historical reading information of the equipment in a preset time period;
when the equipment is an ammeter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the electric quantity information with a second preset threshold, and if the electric quantity information is smaller than or larger than the second preset threshold, determining that the state information of the electric meter is in an early warning state; otherwise, determining the state information of the electric meter to be normal;
when the equipment is a gas meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the gas information with a third preset threshold value, and if the gas information is smaller than the third preset threshold value, determining that the state information of the gas meter is in an early warning state; otherwise, determining the state information of the gas meter to be normal; and/or comparing the gas leakage information with a fourth preset threshold, if the gas leakage information is larger than the fourth preset threshold, determining that the state information of the gas meter is abnormal, otherwise, determining that the state information of the gas meter is normal;
when the device is a hotlist, determining the state information of the device according to the reading information, wherein the step of determining the state information comprises the following steps: if the temperature information is within a fifth preset threshold range, determining that the state information of the hotlist is normal, otherwise determining that the state information of the hotlist is abnormal; and/or if the flow information is within a sixth preset threshold range, determining that the hot state information is normal, otherwise determining that the state information of the hot table is abnormal.
Optionally, the state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
converting the abnormal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information respectively, and sending the voice information to an intelligent terminal; alternatively, the first and second electrodes may be,
and converting the normal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to the intelligent terminal.
Optionally, the abnormal state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
performing semantic analysis on the abnormal state information of the equipment to obtain a plurality of phrases;
carrying out voice synthesis on the plurality of phrases according to a preset voice synthesis template to generate abnormal voice reminding information of the equipment;
and sending the abnormal voice reminding information of the equipment to an intelligent terminal for voice playing or making a call to the intelligent terminal of the associated user according to the abnormal voice reminding information of the equipment.
Optionally, the normal state information of the device is converted into voice information, and the voice information is sent to the intelligent terminal, including:
when a query request of a user is received, performing semantic analysis on the normal state information of the equipment to obtain a plurality of first phrases;
carrying out voice synthesis on the plurality of first phrases according to the expected voice synthesis template to generate normal voice reminding information of the equipment; and
and sending the normal voice reminding information of the equipment to an intelligent terminal for voice playing.
As shown in fig. 4 and 5, a specific implementation of the above system is:
the transceiver module of the system can be a communication layer, and the processing module can be a data analysis layer and the like.
In the system, the data of various devices can be received through the data perception layer, analyzed, finally converted into corresponding voice information and issued to the user layer, and therefore unified management of the whole device is achieved. The use efficiency is improved, the processing capacity is improved, and the cost of storage resources is reduced. And according to different user objects, carrying out security isolation processing and use such as exclusive sharing and sharing on data. Based on the address uniqueness and the identity uniqueness of the user, the association and the sharing of water, electricity, gas and heat data are realized. The data sharing and application value analysis of cross-industry integrated management and control based on energy utilization objects are easy to realize.
The collecting device in fig. 4 is a concentrator, which may include a concentrator for communicating with the water meter, the gas meter and the heat meter and a concentrator for communicating with the electric meter, or may be a concentrator for communicating with the water meter, the electric meter, the gas meter and the heat meter.
It should be noted that this system is a system corresponding to the method shown in fig. 1, and all the implementation manners in the method embodiment are applicable to this system embodiment, and the same technical effect can be achieved.
An embodiment of the present invention also provides an apparatus, including:
the processing module is used for obtaining reading information of the equipment;
the transceiver module is used for transmitting the reading information to a monitoring system; enabling the monitoring system to convert the state information of the equipment into voice information and sending the voice information to an intelligent terminal;
the apparatus comprises at least one of:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described above.
The implementation case of the invention is suitable for the people with inconvenient actions such as the old, the blind, the disabled and the like or the users who influence reading because the equipment is arranged in the places which are inconvenient to read, thereby ensuring the equipment safety of the users, and of course, the implementation case can also be suitable for the intelligent city construction to monitor and manage the equipment of various users, thereby ensuring the use safety of the equipment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
Furthermore, it is to be noted that in the device and method of the invention, it is obvious that the individual components or steps can be decomposed and/or recombined. These decompositions and/or recombinations are to be regarded as equivalents of the present invention. Also, the steps of performing the series of processes described above may naturally be performed chronologically in the order described, but need not necessarily be performed chronologically, and some steps may be performed in parallel or independently of each other. It will be understood by those skilled in the art that all or any of the steps or elements of the method and apparatus of the present invention may be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in hardware, firmware, software, or any combination thereof, which can be implemented by those skilled in the art using their basic programming skills after reading the description of the present invention.
Thus, the objects of the invention may also be achieved by running a program or a set of programs on any computing device. The computing device may be a general purpose device as is well known. The object of the invention is thus also achieved solely by providing a program product comprising program code for implementing the method or the apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is to be understood that the storage medium may be any known storage medium or any storage medium developed in the future. It is further noted that in the apparatus and method of the present invention, it is apparent that each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be regarded as equivalents of the present invention. Also, the steps of executing the series of processes described above may naturally be executed chronologically in the order described, but need not necessarily be executed chronologically. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. The equipment monitoring method is applied to a big data cloud platform monitoring system, and comprises the following steps:
obtaining reading information of the equipment;
determining the state information of the equipment according to the reading information;
and converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
2. The device monitoring method of claim 1, wherein obtaining reading information for the device comprises:
reading information uploaded by equipment is acquired through a concentrator and an acquisition master station, the concentrator is respectively in communication connection with the equipment and the acquisition master station, and the equipment comprises at least one of the following components:
the first equipment is base meter equipment provided with a camera shooting acquisition device;
the second equipment is remote meter equipment which comprises base meter equipment and a remote communication module;
and the third equipment is equipment of the Internet of things.
3. The device monitoring method according to claim 2,
when the equipment is a water meter, the reading information comprises: water pressure information and/or water flow information;
when the device is an ammeter, the reading information comprises: electric quantity information;
when the device is a gas meter, the reading information comprises: gas information and/or gas leakage information;
when the device is a heat meter, the reading information comprises: temperature information and/or flow information.
4. The device monitoring method according to claim 3,
when the equipment is a water meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the reading information with a first preset threshold, and if the reading information is larger than or smaller than the first preset threshold, determining that the state information of the equipment is abnormal; otherwise, determining that the state of the equipment is normal, wherein the first preset threshold is determined according to historical reading information of the equipment in a preset time period;
when the equipment is an ammeter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the electric quantity information with a second preset threshold, and if the electric quantity information is smaller than or larger than the second preset threshold, determining that the state information of the electric meter is in an early warning state; otherwise, determining the state information of the electric meter to be normal;
when the equipment is a gas meter, determining the state information of the equipment according to the reading information, wherein the determining comprises the following steps: comparing the gas information with a third preset threshold value, and if the gas information is smaller than the third preset threshold value, determining that the state information of the gas meter is in an early warning state; otherwise, determining the state information of the gas meter to be normal; and/or comparing the gas leakage information with a fourth preset threshold, if the gas leakage information is larger than the fourth preset threshold, determining that the state information of the gas meter is abnormal, otherwise, determining that the state information of the gas meter is normal;
when the device is a hotlist, determining the state information of the device according to the reading information, wherein the step of determining the state information comprises the following steps: if the temperature information is within a fifth preset threshold range, determining that the state information of the hotlist is normal, otherwise determining that the state information of the hotlist is abnormal; and/or if the flow information is within a sixth preset threshold range, determining that the hot state information is normal, otherwise determining that the state information of the hot table is abnormal.
5. The equipment monitoring method according to claim 4, wherein the step of converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal comprises the following steps:
converting the abnormal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to an intelligent terminal; alternatively, the first and second electrodes may be,
and converting the normal state information of the equipment into voice information and/or converting the current reading information of the equipment into voice information, and sending the voice information to the intelligent terminal.
6. The equipment monitoring method according to claim 5, wherein the step of converting the abnormal state information of the equipment into voice information and sending the voice information to the intelligent terminal comprises the following steps:
performing semantic analysis on the abnormal state information of the equipment to obtain a plurality of phrases;
carrying out voice synthesis on the plurality of phrases according to a preset voice synthesis template to generate abnormal voice reminding information of the equipment;
and sending the abnormal voice reminding information of the equipment to an intelligent terminal for voice playing or making a call to the intelligent terminal of the associated user according to the abnormal voice reminding information of the equipment.
7. The equipment monitoring method according to claim 5, wherein the step of converting the normal state information of the equipment into voice information and sending the voice information to the intelligent terminal comprises the following steps:
when a query request of a user is received, performing semantic analysis on the normal state information of the equipment to obtain a plurality of first phrases;
carrying out voice synthesis on the plurality of first phrases according to the expected voice synthesis template to generate normal voice reminding information of the equipment; and
and sending the normal voice reminding information of the equipment to an intelligent terminal for voice playing.
8. A method for processing device information is applied to a device, and the method comprises the following steps:
obtaining reading information of the equipment;
sending the reading information to a big data cloud platform monitoring system; and converting the state information of the equipment into voice information by the monitoring system, and sending the voice information to the intelligent terminal.
9. A big data cloud platform monitoring system, the system comprising:
the receiving and transmitting module is used for obtaining the reading information of the equipment;
the processing module is used for determining the state information of the equipment according to the reading information;
the transceiver module is also used for converting the state information of the equipment into voice information and sending the voice information to the intelligent terminal.
10. An apparatus, comprising:
the processing module is used for obtaining reading information of the equipment;
the receiving and sending module is used for sending the reading information to a big data cloud platform monitoring system; and converting the state information of the equipment into voice information by the big data cloud platform monitoring system, and sending the voice information to the intelligent terminal.
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