CN114967611A - Intelligent monitoring system based on Internet of things - Google Patents
Intelligent monitoring system based on Internet of things Download PDFInfo
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- CN114967611A CN114967611A CN202210478786.2A CN202210478786A CN114967611A CN 114967611 A CN114967611 A CN 114967611A CN 202210478786 A CN202210478786 A CN 202210478786A CN 114967611 A CN114967611 A CN 114967611A
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- 238000007726 management method Methods 0.000 claims description 7
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention relates to the field of Internet of things, in particular to an intelligent monitoring system based on the Internet of things. The method comprises the following steps: the data acquisition unit is arranged on the production line and is used for acquiring production data in real time; the environment monitoring unit is arranged in the production workshop and is used for acquiring environmental data in the production workshop in real time; the central control unit is used for acquiring and storing external data and respectively generating preset safety threshold value intervals aiming at different types of data; the order management unit is used for acquiring production order data and generating an expected completion progress curve; the mobile terminal is connected with the central control unit through wireless information and used for checking the conditions in the production workshop in real time; and the early warning unit is connected with the central control unit through wireless information and is used for sending out early warning information aiming at abnormal conditions in the production process so as to realize dynamic regulation and control of the production process and real-time monitoring of the production environment.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to an intelligent monitoring system based on the Internet of things.
Background
At present, the internet of things (IOT) is used to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location thereof through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and realize the ubiquitous connection of objects, objects and people through various possible network accesses, thereby realizing intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
In the industrial production process, the monitoring management to production is vital, and current industrial production line is because each link of producing the line all probably goes wrong, just so needs a large amount of manpowers and financial resources to produce the line and supervise, has increased manufacturing cost, in view of this, the intelligent monitoring system based on thing networking that can realize that each key area of workshop all-round control, realization ideal coverage, monitoring information feedback are quick is urgently required to propose at present.
Disclosure of Invention
In some embodiments of the application, the data acquisition unit is additionally arranged to collect production data, then the central control unit processes the data of the data acquisition unit according to a preset time interval to obtain an expected productivity curve, and the historical data packets are stored according to a time sequence by adding timestamps, so that the problem that the production process cannot be monitored dynamically in real time is solved.
In some embodiments of this application, add the environmental monitoring unit and collect environmental data, then the central control unit handles the data that the environmental monitoring unit was collected to judge whether accord with the environmental parameter threshold interval, in time send the early warning to unusual environmental information, in time get rid of danger, guarantee production process's security.
In some embodiments of the application, a manager can be connected with the central control unit in real time through the mobile terminal, receive relevant environment early warning information and production early warning information, and timely make feedback, so that dynamic regulation and control of the production process and real-time monitoring of the production environment are realized.
Some embodiments of the application provide an intelligent monitoring system based on thing networking, include:
the data acquisition unit is used for acquiring production data in real time;
the environment monitoring unit is arranged in the production workshop and is used for acquiring environmental data in the production workshop in real time;
the central control unit is used for acquiring and storing external data and respectively generating preset safety threshold value intervals aiming at different types of data;
the order management unit is used for acquiring production order data and generating an expected completion progress curve;
the mobile terminal is connected with the central control unit through wireless information and used for checking the conditions in the production workshop in real time;
and the early warning unit is connected with the central control unit through wireless information and is used for sending out early warning information aiming at the abnormal condition in the production process.
In some embodiments of the present application, the central control unit comprises:
the first data processing module is used for acquiring the data of the data acquisition unit, adding timestamps according to a first preset time interval and generating a historical production data packet;
and the data storage module is used for storing the historical production data packets according to the time stamp sequence after acquiring the historical production data packets.
In some embodiments of the present application, the central control unit further comprises:
the second data processing module is used for processing the historical data packet corresponding to the time stamp in the second time interval and generating an expected production curve;
and the first judgment module is used for judging whether the expected production force curve is matched with the expected completion progress curve or not and sending out an adjustment instruction in real time based on a judgment result.
In some embodiments of the present application, the determination result is:
if the expected production force curve is matched with the expected completion progress curve, performing production based on the expected completion progress curve;
if the expected productivity curve does not match the expected completion progress curve and the expected productivity curve is higher than the expected completion progress curve, continuing production;
and if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is lower than the expected completion progress curve, sending production early warning information to a specified mobile terminal for production adjustment.
In some embodiments of the present application, the central control unit further includes:
the third data processing module is used for acquiring the data of the environment monitoring unit and generating an environment parameter dynamic curve;
and the fourth data processing module is used for acquiring the standard value of the environmental parameter and generating an environmental parameter threshold interval.
And the second judgment module is used for judging whether the environmental parameter dynamic curve is in the environmental parameter threshold interval.
In some embodiments of the present application, the environmental parameter threshold interval includes a safety segment and an early warning segment;
if the environmental parameter dynamic curve is in the safety section, continuing production;
and if the environmental parameter dynamic curve is in the early warning section, the early warning unit sends environmental early warning information to a specified mobile terminal.
In some embodiments of the present application, the early warning unit includes:
the first early warning module is used for acquiring a judgment result of the first judgment module, and sending production early warning information to a specified mobile terminal if the expected production curve is lower than the expected completion progress curve;
and the second early warning module is used for acquiring the judgment result of the second judgment module, and if the environmental parameter dynamic curve is in the early warning section, the second early warning unit sends environmental early warning information to a specified mobile terminal.
In some embodiments of the present application, the environmental monitoring module comprises:
the image acquisition module comprises a plurality of image acquisition devices and is used for acquiring 24-hour images of the production workshop.
In some embodiments of the present application, the environment monitoring module further comprises:
the temperature and humidity acquisition module comprises a plurality of infrared sensing devices and is used for monitoring the temperature of the production workshop for 24 hours.
In some embodiments of the present application, the mobile terminal includes:
the authority identification module is used for verifying the authority of the login person;
and the operation module is used for acquiring the real-time processing data of the central control unit and acquiring the environment early warning information and the production early warning information.
The application combines internet of things technology to provide an intelligent monitoring system based on internet of things, collects production environment data of a production workshop through internet of things technology, then a central control unit processes the data collected by an environment monitoring unit, judges whether the data accord with an environment parameter threshold interval, sends out early warning aiming at abnormal environment information in time, removes danger in time and guarantees the safety of a production process.
The manager can be connected with the central control unit in real time through the mobile terminal, receives relevant environment early warning information and production early warning information, and timely feeds back the information, so that the dynamic regulation and control of the production process and the real-time monitoring of the production environment are realized. The intelligent monitoring system realizes all-around monitoring of each key area of a production workshop, and is an intelligent monitoring system based on the Internet of things, which has wide coverage and quick monitoring information feedback.
Drawings
Fig. 1 is a schematic diagram of an intelligent monitoring system based on the internet of things according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a monitoring method of an intelligent monitoring system based on the internet of things in the embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.
As shown in fig. 1, an intelligent monitoring system based on the internet of things in a preferred embodiment of the present invention includes:
the data acquisition unit is arranged on the production line and is used for acquiring production data in real time;
the environment monitoring unit is arranged in the production workshop and is used for acquiring environmental data in the production workshop in real time;
the central control unit is used for acquiring and storing external data and respectively generating preset safety threshold value intervals aiming at different types of data;
the order management unit is used for acquiring production order data and generating an expected completion progress curve;
the mobile terminal is connected with the central control unit through a wireless signal and is used for checking the conditions in the production workshop in real time;
and the early warning unit is connected with the central control unit through a wireless signal and is used for sending out early warning information aiming at the abnormal condition in the production process.
Particularly, the data acquisition unit, the environment monitoring unit, the central control unit, the order management unit and the early warning unit are connected through wireless signals, and information interaction among all the units is achieved.
Specifically, the order management unit processes the production order data after acquiring the production order data, and processes the production order data according to the historical productivity condition to obtain an expected completion progress curve, so that a manager can conveniently check an expected value of the production progress.
Specifically, the mobile terminal can be a computer or a mobile phone, and the like, and the manager can perform information interaction with the central control unit through the mobile terminal, inquire the condition of the workshop in real time, and monitor the production condition.
In some embodiments of the present application, the central control unit comprises:
the first data processing module is used for acquiring data of the data acquisition unit, adding timestamps according to a first preset time interval and generating a historical production data packet;
and the data storage module is used for storing the historical production data packets according to the time stamp sequence after acquiring the historical production data packets.
Particularly, the timestamps are added to the historical production data packets and are stored according to the time sequence, so that subsequent examination is facilitated, and the production database is built by storing the historical production data packets, so that the historical traceability is facilitated.
In some embodiments of the present application, the central control unit further comprises:
the second data processing module is used for processing the historical data packet corresponding to the time stamp in the second time interval and generating an expected productivity curve;
and the first judgment module is used for judging whether the expected productivity curve is matched with the expected completion progress curve or not and sending out an adjustment instruction in real time based on a judgment result.
Specifically, a first time interval and a second time are specified according to different production types, and the second time interval is larger than the first time interval;
specifically, the historical data in the second time interval is analyzed to obtain the production parameter in the second time interval, and the production parameter is used as the estimated productivity in the next same time interval to obtain the expected productivity curve.
Specifically, if the expected productivity curve matches the expected completion progress curve, then production is on an ongoing basis;
if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is higher than the expected completion progress curve, continuing the production;
if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is lower than the expected completion progress curve, sending production early warning information to a specified mobile terminal for production adjustment;
specifically, the real-time production condition is mastered by judging the relation between the expected production force curve and the expected production curve, and when the real-time progress is lower than the expected progress, the production plan is adjusted in time, so that the production plan is ensured to be completed on schedule, and the dynamic supervision of the production process is realized.
In some preferred embodiments of the present application, the central control unit further includes:
the third data processing module is used for acquiring data of the environment monitoring unit and generating an environment parameter dynamic curve;
the fourth data processing module is used for acquiring the standard value of the environmental parameter and generating an environmental parameter threshold interval;
and the second judgment module is used for judging whether the environmental parameter dynamic curve is in the threshold interval of the environmental parameter.
Specifically, the environmental parameter threshold is a state specified standard value or is lower than the state standard value, and an environmental parameter threshold interval is specified through related standard parameters;
specifically, the environmental parameter threshold interval comprises a safety section and an early warning section;
if the environmental parameter dynamic curve is in the safety section, continuing production;
and if the environment parameter dynamic curve is in the early warning section, the early warning unit sends environment early warning information to the specified mobile terminal.
Particularly, can classify according to the different grade type of environmental index, smog to the workshop is monitored in some preferred embodiments of this application, set up the interval of environmental parameter threshold value, prevent the conflagration emergence through monitoring the smog to the workshop, when the smog parameter is in the safety section, managers can confirm workshop real-time status through mobile terminal, when the smog parameter is in the early warning section, central control unit sends early warning information to relevant mobile terminal, and send early warning signal through early warning unit, relevant managers in time investigate the risk after obtaining relevant early warning information through mobile terminal, play the early warning effect to the conflagration.
In some preferred embodiments of the application, the temperature of a production workshop is monitored, an environmental parameter threshold interval is set, the temperature of the production workshop is monitored to prevent a fire disaster, when the temperature parameter is in a safety section, a manager can confirm the real-time state of the production workshop through a mobile terminal, when the temperature parameter is in an early warning section, a central control unit sends out early warning information to a related mobile terminal, and sends out early warning signals through an early warning unit, related managers timely troubleshoot risks after obtaining related early warning information through the mobile terminal, and the early warning effect on the fire disaster is achieved.
In some preferred embodiments of the application, the humidity of a production workshop is monitored, an environmental parameter threshold interval is set, the quality of a produced product is guaranteed by monitoring the humidity of the production workshop, when the humidity parameter is in a safety section, managers can confirm the real-time state of the production workshop through a mobile terminal, when the humidity parameter is in an early warning section, a central control unit sends out early warning information to related mobile terminals, and sends out early warning signals through an early warning unit, related managers timely solve problems after obtaining related early warning information through the mobile terminals, and the quality of the produced product is guaranteed.
In some preferred embodiments of the present application, the early warning unit includes:
the first early warning module is used for acquiring a judgment result of the first judgment module, and sending production early warning information to a specified mobile terminal if the expected productivity curve is lower than the expected completion progress curve;
and the second early warning module is used for acquiring the judgment result of the second judgment module, and if the environmental parameter dynamic curve is in the early warning section, the second early warning unit sends environmental early warning information to the specified mobile terminal.
In some preferred embodiments of the present application, the environment monitoring module comprises:
the image acquisition module comprises a plurality of image acquisition devices and is used for acquiring 24-hour images of the production workshop.
The temperature and humidity acquisition module comprises a plurality of infrared sensing devices and is used for monitoring the temperature of the production workshop for 24 hours.
Specifically, according to different types of the produced products, the environmental parameters to be monitored can be adjusted in time.
In some preferred embodiments of the present application, a mobile terminal includes:
the authority identification module is used for verifying the authority of the login person;
and the operation module is used for acquiring the real-time processing data of the central control unit and acquiring the environment early warning information and the production early warning information.
In some preferred embodiments of this application, collect the production environment data of workshop through internet of things, then the central control unit handles the data that the environmental monitoring unit was collected to judge whether accord with the environmental parameter threshold interval, in time send the early warning to unusual environmental information, in time get rid of danger, guarantee production process's security.
The manager can be connected with the central control unit in real time through the mobile terminal, receives relevant environment early warning information and production early warning information, and timely feeds back the information, so that the dynamic regulation and control of the production process and the real-time monitoring of the production environment are realized. The intelligent monitoring system realizes all-around monitoring of each key area of a production workshop, and is an intelligent monitoring system based on the Internet of things, which has wide coverage and quick monitoring information feedback.
As shown in fig. 2, in another preferred implementation manner based on the foregoing embodiment, this implementation manner provides an intelligent monitoring method based on the internet of things, which includes the following steps:
step 1: presetting a safety threshold interval, acquiring production order data and generating an expected completion progress curve;
step 2: acquiring data of an environment monitoring unit to generate an environment parameter dynamic curve and acquiring data of a data acquisition unit to generate an expected productivity curve;
step 3; judging the relationship between the environmental parameter production curve and a preset safety threshold interval and the relationship between the expected completion progress and an expected productivity curve;
specifically, an expected production plan is obtained by obtaining production order data and generating an expected completion progress curve, real-time production data is obtained based on the Internet of things, historical production data is analyzed according to a preset time interval to obtain a production force parameter in the preset time interval, the production parameter is used as an estimated productivity in the next same time interval to obtain an expected productivity curve, and if the expected productivity curve is matched with the expected completion progress curve, production is carried out;
if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is higher than the expected completion progress curve, continuing the production;
if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is lower than the expected completion progress curve, sending production early warning information to a specified mobile terminal for production adjustment;
specifically, the real-time production condition is mastered by judging the relation between the expected production force curve and the expected production curve, and when the real-time progress is lower than the expected progress, the production plan is adjusted in time, so that the production plan is completed on schedule, and the dynamic supervision of the production process is realized.
Specifically, the environmental parameter threshold is a state specified standard value or is lower than a state standard value, an environmental parameter threshold interval is specified through related standard parameters, the central control unit generates the environmental parameter threshold interval, and an environmental parameter dynamic curve is generated by acquiring data of the environmental monitoring unit; the environmental parameter threshold interval comprises a safety section and an early warning section; if the environmental parameter dynamic curve is in the safety section, continuing production; and if the environment parameter dynamic curve is in the early warning section, the early warning unit sends environment early warning information to the specified mobile terminal.
According to the embodiment, the environmental data and the production data of the production workshop are collected through the Internet of things technology, the relevant environmental early warning information and the relevant production early warning information are received, the feedback is made in time, and the dynamic regulation and control of the production process and the real-time monitoring of the production environment are realized. All-round control of each key area of the production workshop is realized.
According to the first concept of the application, the data acquisition unit is additionally arranged to collect production data, then the central control unit processes the data of the data acquisition unit according to a preset time interval to obtain an expected productivity curve, and the historical data packets are stored according to a time sequence by adding timestamps, so that the problem that the production process cannot be monitored dynamically in real time is solved.
According to the second concept of the application, the environment monitoring unit is additionally arranged to collect the environment data, then the central control unit processes the data collected by the environment monitoring unit, judges whether the data meet the threshold interval of the environment parameters or not, timely sends out early warning aiming at abnormal environment information, timely eliminates dangers and guarantees the safety of the production process.
According to the third concept of the application, a manager can be connected with the central control unit in real time through the mobile terminal, receive the relevant environment early warning information and the production early warning information, and timely make feedback, so that the dynamic regulation and control of the production process and the real-time monitoring of the production environment are realized.
The above description is only an embodiment of the present invention, but not intended to limit the scope of the present invention, and any structural changes made according to the present invention should be considered as being limited within the scope of the present invention without departing from the spirit of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. An intelligent monitoring system based on the Internet of things is characterized by comprising:
the data acquisition unit is arranged on the production line and is used for acquiring production data in real time;
the environment monitoring unit is arranged in the production workshop and is used for acquiring environmental data in the production workshop in real time;
the central control unit is used for acquiring and storing external data and respectively generating preset safety threshold value intervals aiming at different types of data;
the order management unit is used for acquiring production order data and generating an expected completion progress curve;
the mobile terminal is connected with the central control unit through wireless information and used for checking the conditions in the production workshop in real time;
and the early warning unit is connected with the central control unit through wireless information and is used for sending out early warning information aiming at the abnormal condition in the production process.
2. The intelligent monitoring system based on the internet of things of claim 1, wherein the central control unit comprises:
the first data processing module is used for acquiring the data of the data acquisition unit, adding timestamps according to a first preset time interval and generating a historical production data packet;
and the data storage module is used for storing the historical production data packets according to the time stamp sequence after acquiring the historical production data packets.
3. The intelligent monitoring system based on the internet of things of claim 2, wherein the central control unit further comprises:
the second data processing module is used for processing the historical data packet corresponding to the time stamp in the second time interval and generating an expected production curve;
and the first judgment module is used for judging whether the expected production force curve is matched with the expected completion progress curve or not and sending out an adjustment instruction in real time based on a judgment result.
4. The intelligent monitoring system based on the internet of things as claimed in claim 3, wherein the judgment result is:
if the expected production force curve is matched with the expected completion progress curve, performing production based on the expected completion progress curve;
if the expected productivity curve does not fit the expected completion progress curve and the expected productivity curve is higher than the expected completion progress curve, continuing production;
and if the expected productivity curve is not matched with the expected completion progress curve and the expected productivity curve is lower than the expected completion progress curve, sending production early warning information to a specified mobile terminal for production adjustment.
5. The intelligent monitoring system based on the internet of things of claim 4, wherein the central control unit further comprises:
the third data processing module is used for acquiring the data of the environment monitoring unit and generating an environment parameter dynamic curve;
the fourth data processing module is used for acquiring the standard value of the environmental parameter and generating an environmental parameter threshold interval;
and the second judgment module is used for judging whether the environment parameter dynamic curve is in the environment parameter threshold interval.
6. The intelligent monitoring system based on the internet of things of claim 5, wherein the environmental parameter threshold interval comprises a safety segment and an early warning segment;
if the environmental parameter dynamic curve is in the safety section, continuing production;
and if the environmental parameter dynamic curve is in the early warning section, the early warning unit sends environmental early warning information to a specified mobile terminal.
7. The intelligent monitoring system based on the internet of things of claim 6, wherein the early warning unit comprises:
the first early warning module is used for acquiring a judgment result of the first judgment module, and sending production early warning information to a specified mobile terminal if the expected production curve is lower than the expected completion progress curve;
and the second early warning module is used for acquiring the judgment result of the second judgment module, and if the environmental parameter dynamic curve is in the early warning section, the second early warning unit sends environmental early warning information to a specified mobile terminal.
8. The intelligent monitoring system based on the internet of things of claim 1, wherein the environment monitoring module comprises:
the image acquisition module comprises a plurality of image acquisition devices and is used for acquiring 24-hour images of the production workshop.
9. The intelligent monitoring system based on the internet of things of claim 1, wherein the environment monitoring module further comprises:
the temperature and humidity acquisition module is used for monitoring the temperature of the production workshop for 24 hours.
10. The intelligent monitoring system based on the internet of things of claim 1, wherein the mobile terminal comprises:
the authority identification module is used for verifying the authority of the login person;
and the operation module is used for acquiring the real-time processing data of the central control unit and acquiring the environment early warning information and the production early warning information.
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| CN116303742A (en) * | 2023-03-17 | 2023-06-23 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116303742A (en) * | 2023-03-17 | 2023-06-23 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
| CN116303742B (en) * | 2023-03-17 | 2023-09-19 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
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