CN113496114A - Environment monitoring method, device and system - Google Patents
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Abstract
The application is suitable for the technical field of new energy battery production, and provides an environment monitoring method, which comprises the following steps: receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value; detecting whether abnormal data exist in the environment data; and if the environmental data has abnormal data, sending an alarm prompt corresponding to the abnormal data. The environment data of the automatic guided vehicle detection workshop can be received, the environment is monitored according to the detected environment data, and convenience and efficiency of environment monitoring are improved.
Description
Technical Field
The application belongs to the technical field of new energy battery production, and particularly relates to an environment monitoring method, device and system.
Background
Pole piece coating generally refers to a process of uniformly coating a current collector (copper-aluminum foil roll) with uniformly stirred slurry and drying an organic solvent in the slurry. Before coating, 5S work of an electrode manufacturing workshop is required, particles, impurities, dust and the like are prevented from being mixed into an electrode coil in the coating process, if the impurities are mixed to cause poor coating, micro short circuit can be caused inside a battery, the battery can be ignited and exploded in serious cases, in addition, the temperature and humidity requirements of the electrode manufacturing workshop on the environment are very strict, and therefore a temperature and humidity sensor can be installed at a fixed point.
At present, the detection of the cleanliness of the environment and the temperature and humidity of a workshop in an electrode manufacturing workshop is mainly to detect the particle grade in the workshop at regular time and fixed point by a manual detector, and when the particle grade exceeds a normal allowable range, the reason is manually analyzed and corresponding processing is carried out, so that the environment monitoring efficiency and convenience are low.
Disclosure of Invention
The embodiment of the application provides an environment monitoring method, device and system, and aims to solve the problems of low convenience and low efficiency of the conventional workshop environment monitoring.
In a first aspect, an embodiment of the present application provides an environment monitoring method, which is applied to a server, and the environment monitoring method includes:
receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value;
detecting whether abnormal data exist in the environment data;
and if the environmental data has abnormal data, sending an alarm prompt corresponding to the abnormal data.
By adopting the technical scheme, the environmental data detected by the automatic guided vehicle can be received, the workshop environment is monitored according to the detected environmental data, and convenience and efficiency of environmental monitoring are improved.
In one embodiment, the environmental monitoring method further comprises:
if abnormal data exist in the environmental data, acquiring a pre-stored improvement list corresponding to the abnormal data from a database;
sending a prompt for improving the abnormal data within a first preset time according to the pre-stored improvement list corresponding to the abnormal data;
and when the improvement processing result submitted by the user is detected, classifying and storing the improvement processing result.
By adopting the technical scheme, the user can be prompted to improve within the set time, data statistics and query are conveniently carried out on the environment monitoring condition, and convenience and monitoring efficiency of the workshop environment are further improved.
In one embodiment, the environmental monitoring method further comprises:
acquiring data of which the type corresponds to the report template in the environmental data according to a pre-stored report template;
and generating a report and storing the report according to the report template and the data with the type corresponding to the report template in the environmental data.
By adopting the technical scheme, the generated report can be used for more visually analyzing data, so that the environment can be monitored, and the efficiency of monitoring the environment can be further improved.
In one embodiment, if there is abnormal data in the environmental data, an alarm prompt corresponding to the abnormal data is issued, including:
if the particle size is larger than a first preset size threshold value, sending out an alarm prompt that the particle size of a first area where the automatic guided vehicle currently runs is abnormal;
if the particle concentration detected for M times is greater than a first preset concentration threshold value, sending out an alarm prompt that the particle concentration of a first area of the automatic guided vehicle currently running is abnormal; wherein M is ≧ 1 and an integer;
if the temperature values detected for N times are not within a first preset temperature range, sending an alarm prompt that the temperature value of a first area where the automatic guided vehicle currently runs is abnormal; wherein N is ≧ 1 and an integer;
if the humidity values detected for K times continuously do not belong to a first preset humidity range, sending out an alarm prompt that the humidity value of a first area where the automatic guided vehicle currently runs is abnormal; wherein K ≧ 1 and is an integer.
In one embodiment, if the particle concentration detected M times in succession is greater than a first preset concentration threshold, after issuing an alarm indicating that the particle concentration in a first area where the automated guided vehicle is currently running is abnormal, the method includes:
if the particle concentration detected for M times is less than a second preset concentration threshold value, the particle concentration of a second area where the automatic guided vehicle currently runs meets a first preset requirement; the first preset concentration threshold is greater than the second preset concentration threshold, and M is not less than 1 and is an integer;
if the temperature values detected for N times continuously are not within a first preset temperature range, after an alarm prompt that the temperature value of a first area where the automatic guided vehicle operates currently is abnormal is sent, the method comprises the following steps:
if the temperature values detected for N times are all within a second preset temperature range, the temperature value of a second area where the automatic guided vehicle currently runs meets a second preset requirement; the first preset temperature range is larger than the second preset temperature range, and N is not less than 1 and is an integer;
if the humidity values detected for K times do not belong to the first preset humidity range, after an alarm prompt that the humidity value of the first area where the automatic guided vehicle runs currently is abnormal is sent, the method comprises the following steps:
if the humidity values detected for K times continuously are all within a second preset humidity range, the humidity value of a second area where the automatic guided vehicle runs currently meets a third preset requirement; the first preset humidity range is larger than the second preset humidity range, and K is not less than 1 and is an integer.
By adopting the technical scheme, when the first area is judged to be the area with abnormal particle concentration, the particle concentration is considered to be normal only when the particle concentration detected for M times in the second area is less than the second preset concentration threshold value, so that the accuracy of abnormal analysis of the particle concentration is improved; when the first area is judged to be the area with abnormal temperature, the temperature value detected in the second area for N times continuously is within the second preset temperature range, and the temperature is considered to be normal, so that the accuracy of abnormal temperature analysis is improved; when the first area is judged to be the area with abnormal humidity, the humidity value detected in the second area for K times is within the preset range of the second humidity, and the humidity is considered to be normal, so that the accuracy of humidity abnormity analysis is improved.
In one embodiment, detecting whether anomalous data exists in the environmental data comprises:
filtering the environmental data;
and judging whether abnormal data exist in the filtered environment data.
Through adopting above-mentioned technical scheme, when the granule concentration data of sudden change appears in the short time, during temperature data or humidity data, generally because detection device gathers that the mistake leads to, can eliminate the environmental data of short time sudden change after filtering the environmental data of gathering to can carry out the error elimination, thereby more accurate to the analysis of environmental data.
In a second aspect, an embodiment of the present application provides an environment monitoring apparatus, which is applied to a server, the environment monitoring apparatus includes:
the first acquisition module is used for receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value;
the detection module is used for detecting whether abnormal data exist in the environment data;
and the alarm module is used for sending an alarm prompt corresponding to the abnormal data if the environmental data has the abnormal data.
In a third aspect, an embodiment of the present application provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the environment monitoring method when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the environment monitoring method are implemented.
In a fifth aspect, an embodiment of the present application provides a computer program product, which, when run on a terminal device, causes the terminal device to execute the environment monitoring method according to any one of the above first aspects.
In a sixth aspect, an embodiment of the present application provides an environment monitoring system, including a server and an automated guided vehicle communicatively connected to the server, where the server is configured to execute the environment monitoring method according to any one of the above first aspects.
It is understood that the beneficial effects of the second to sixth aspects can be seen from the description of the first aspect, and are not described herein again.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic view of an environmental monitoring system provided by an embodiment of the present application;
fig. 2 is a schematic view of an automated guided vehicle according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a communication connection for providing an environmental monitoring system according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of an environmental monitoring method according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of an environmental monitoring method according to another embodiment of the present application;
FIG. 6 is a schematic flow chart of an environmental monitoring method according to another embodiment of the present application;
FIG. 7 is a schematic structural diagram of an environmental monitoring device according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In order to explain the technical means described in the present application, the following examples are given below.
Example one
Referring to fig. 1, fig. 1 is a schematic view of an environment monitoring system according to an embodiment of the present disclosure. The environmental monitoring system includes:
an Automated Guided Vehicle (AGV) 10, a network device 20, and a service end 30. The automated guided vehicle 10 establishes a communication connection with the server 30 through the network device 20. The automated guided vehicle 10 includes pre-installed detection devices and communication devices, which may be one or more components that integrate at least one communication processing module. The communication device can comprise a wireless signal transmitter and a wireless signal receiver, and can be formed into a local area network with the network equipment and transmit the environmental data detected by the detection device on the automatic guided vehicle to the server through the network equipment. The network device 20 may be a hub or other device capable of communicatively coupling to a server.
In one embodiment, referring to fig. 2, a schematic diagram of an automated guided vehicle is shown, a particle detector 101, a temperature and humidity sensor 102 and a communication device 103 are pre-installed on the automated guided vehicle 10, and the communication device 103 may include a wireless signal transmitter and a wireless signal receiver. The automatic guided vehicle has the functions of automatic charging, automatic navigation, automatic obstacle avoidance and the like, and can be used for conveying materials in an electrode workshop, and automatically conveying copper-aluminum foil rolls and coated pole rolls to a specified place.
In a specific application scenario, please refer to fig. 3, which is a schematic diagram of a communication connection of an environment monitoring system, the particle detector 101 is used to collect the number and diameter of particles in air, and the collected data of the number and diameter of particles is sent to a server through a communication device 103 via a network device; temperature and humidity data in the workshop are collected through the temperature and humidity sensor 102, and the collected temperature and humidity data are sent to the server 30 through the communication device 103 through the network device 20. The server 30 includes: a database 301 and a monitoring platform 302, wherein the database is used for storing the received environmental data; the monitoring platform 302 can be used for realizing functions of real-time data query, abnormal data analysis alarm, and improvement of processing tracking and recording by calling the environmental data in the database 301.
Therefore, in the embodiment of the application, the environmental data of the automatic guided vehicle detection workshop can be received, the environment is monitored according to the detected environmental data, and convenience and efficiency of environmental monitoring are improved.
Example two
The following describes an environment monitoring method provided in the second embodiment of the present application, where the environment monitoring is applied to a server, and the implementation is the same as or similar to the first embodiment, reference may be specifically made to the description related to the first embodiment, and details are not described here again. Referring to fig. 4, the monitoring method in the present embodiment includes:
step S101, receiving environmental data sent by an automatic guided vehicle when the automatic guided vehicle runs along a preset path; wherein, automatic guide is equipped with detection device in advance on the car, environmental data includes granule concentration, granule size, temperature value and humidity value.
In this embodiment of the application, when it is detected that the automatic guided vehicle starts to move according to a preset path, the environmental data detected by the detection device may be acquired at intervals of a first preset time. The environmental data can be obtained from the detection device on the automatic guided vehicle at regular time. The timing detection may be that a first preset time is preset, and the timing acquisition is performed every first preset time. Or according to the preset path treading point, when the time for the automatic guided vehicle to start moving reaches the position of the corresponding treading point, the time of the interval is set, so that the environmental data detected by the detection device can be obtained at regular time.
In a specific application scenario, for example, in an electrode workshop, the automatic guided vehicle may be used to transport materials to a designated location according to a preset path, and when it is detected that the automatic guided vehicle starts to transport materials according to the preset path, the detected environmental data is periodically acquired from the detection device on the automatic guided vehicle.
Step S102, detecting whether abnormal data exist in the environment data.
In the embodiment of the application, the acquired environment data comprise various types of environment data, a normal range of the corresponding type of data is preset according to the type of the environment data, and whether each item of data in the environment data is in the corresponding preset normal range is judged.
In one embodiment, detecting whether anomalous data exists in the environmental data comprises: filtering the environmental data; and judging whether abnormal data exist in the filtered environment data. If the acquired environmental data is filtered firstly, whether abnormal data exists in the filtered environmental data or not is judged, first-order filtering can be performed on the particle concentration data, the temperature data and the humidity data acquired within the second preset time, and the filtering coefficient is set according to actual requirements. The second preset time is a short time preset according to the requirement, such as 1 minute, 2 minutes or 5 minutes, and the specific time can be set according to the requirement, which is not limited. Particle concentration data in a short time internal environment, temperature data and humidity data can not the sudden change generally, appear the particle concentration data of sudden change in the short time, during temperature data or humidity data, generally because detection device gathers that the mistake leads to, can eliminate the environmental data of short time sudden change after filtering the environmental data of gathering to can carry out the error elimination, thereby more accurate to the analysis of environmental data.
And step S103, if the environmental data has abnormal data, sending an alarm prompt corresponding to the abnormal data.
In the embodiment of the application, if abnormal data exists in the environment data, the abnormal data is acquired, and the corresponding pre-stored alarm prompt is sent according to the type of the abnormal data, wherein the alarm prompt can be sent in various modes such as text, image, graph, sound, light and the like.
In one embodiment, if there is abnormal data in the environmental data, an alarm prompt corresponding to the abnormal data is issued, including:
if the particle size is larger than a first preset size threshold value, sending out an alarm prompt that the particle size of a first area where the automatic guided vehicle currently runs is abnormal; and when the particle size in the acquired environmental data is larger than a first preset size threshold, determining that the particles are too large and do not meet the requirements of the workshop environment, acquiring a first area of the current large-size particle environment, and sending an alarm prompt of particle size abnormality of the first area where the automatic guided vehicle currently runs.
If the particle concentration detected for M times is greater than a first preset concentration threshold value, sending out an alarm prompt that the particle concentration of a first area of the automatic guided vehicle currently running is abnormal; wherein M is ≧ 1 and an integer; when the particle concentration is detected regularly, if the detected concentration is greater than a preset concentration threshold value for M times continuously, the particle concentration is considered to be abnormal, a first area with the abnormal particle concentration is obtained, and an alarm prompt for the abnormal particle size in the first area where the automatic guided vehicle operates currently is sent out.
In one embodiment, if the particle concentration detected M times in succession is greater than a first preset concentration threshold, after issuing an alarm indicating that the particle concentration in a first area where the automated guided vehicle is currently running is abnormal, the method includes: if the particle concentration detected for M times is less than a second preset concentration threshold value, the particle concentration of a second area where the automatic guided vehicle currently runs meets a first preset requirement; the first preset concentration threshold is greater than the second preset concentration threshold, and M is not less than 1 and is an integer; the first preset requirement may be a preset requirement to meet the particle concentration requirement. The first area and the second area are adjacent areas, when the first area is judged to be an area with abnormal particle concentration, the particle concentration detected for M times in succession in the second area is smaller than a second preset concentration threshold value, the particle concentration is considered to be normal, and the accuracy of abnormal analysis of the particle concentration is improved.
If the temperature values detected for N times are not within a first preset temperature range, sending an alarm prompt that the temperature value of a first area where the automatic guided vehicle currently runs is abnormal; wherein N is ≧ 1 and an integer; when the environmental temperature value is detected regularly, if the temperature values detected for M times are not within the first preset temperature range, the temperature is considered to be abnormal, a first area with abnormal current temperature is obtained, and an alarm prompt of the abnormal temperature of the first area in which the automatic guided vehicle operates currently is sent out.
In one embodiment, if the temperature values detected N times consecutively are not within the first preset temperature range, after sending an alarm that the temperature value of the first area where the automated guided vehicle is currently operating is abnormal, the method includes: if the temperature values detected for N times are all within a second preset temperature range, the temperature value of a second area where the automatic guided vehicle currently runs meets a second preset requirement; the first preset temperature range is larger than the second preset temperature range, and N is not less than 1 and is an integer; the second preset requirement may be preset to meet the temperature requirement. The first area and the second area are adjacent areas, when the first area is judged to be an area with abnormal temperature, the temperature value detected in the second area for N times is within a second preset temperature range, the temperature is considered to be normal, and the accuracy of abnormal temperature analysis is improved.
If the humidity values detected for K times continuously do not belong to a first preset humidity range, sending out an alarm prompt that the humidity value of a first area where the automatic guided vehicle currently runs is abnormal; wherein K ≧ 1 and is an integer. When the environment humidity value is detected regularly, if the humidity values are detected continuously for K times and are not in the first preset humidity range, the humidity is considered to be abnormal, a first area with abnormal current humidity is obtained, and an alarm prompt of the abnormal humidity of the first area where the automatic guided vehicle operates currently is sent out.
In one embodiment, if none of the detected humidity values for K consecutive times belongs to the first preset humidity range, after sending an alarm indicating that the humidity value of the first area where the automated guided vehicle is currently running is abnormal, the method includes: if the humidity values detected for K times continuously are all within a second preset humidity range, the humidity value of a second area where the automatic guided vehicle runs currently meets a third preset requirement; the first preset humidity range is larger than the second preset humidity range, and K is not less than 1 and is an integer. The third preset requirement may be a preset requirement for satisfying the humidity. The first area and the second area are adjacent areas, when the first area is judged to be an area with abnormal humidity, the humidity value detected in the second area for K times is within the preset range of the second humidity, and the humidity is considered to be normal, so that the accuracy of humidity abnormity analysis is improved.
Therefore, in the embodiment of the application, the environmental data of the automatic guided vehicle detection workshop can be received, the environment is monitored according to the detected environmental data, and convenience and efficiency of environmental monitoring are improved.
EXAMPLE III
An embodiment of the present application provides an environment monitoring method, where the environment monitoring method of the present embodiment includes the steps in the second embodiment, and where the same or similar to the second embodiment, reference may be specifically made to the related description of the second embodiment, and details are not described here, please refer to fig. 5, where the environment monitoring method further includes:
step S201, if abnormal data exists in the environmental data, a prestored improvement list corresponding to the abnormal data is obtained from a database;
in the embodiment of the application, if abnormal data exists in the acquired environment data, a corresponding pre-stored improvement list is acquired from a database according to the type of the abnormal data. The improvement list can be an improvement mode stored in the form of text, image, graph and/or sound in advance. And if the corresponding overhigh temperature is detected in the acquired environment data, acquiring an overhigh temperature improvement list from the database to help a user to perform improvement processing according to the improvement list.
Step S202, sending out a prompt for improving the abnormal data within a first preset time according to the pre-stored improvement list corresponding to the abnormal data;
in the embodiment of the application, after the pre-stored improvement list corresponding to the abnormal data is obtained, a prompt for improving the abnormal data within a first preset time is sent to a user. To prompt the user to improve within a specified time.
And step S203, when the improvement processing result submitted by the user is detected, classifying and storing the improvement processing result.
In the embodiment of the application, after the user processes the environmental abnormal data, the processed result can be uploaded to the server, and the server performs classified storage according to the processed result so as to perform data statistics and query on the environmental monitoring condition.
Therefore, in the embodiment of the application, the corresponding improvement list can be obtained to prompt improvement processing according to abnormal data in the environmental data, and the improvement result submitted by the user is stored, so that the user can be prompted to improve within a specified time, data statistics and query on the environmental monitoring condition are facilitated, and convenience and efficiency of monitoring the workshop environment are further improved.
Example four
An embodiment of the present application provides an environment monitoring method, where the environment monitoring method of the present embodiment includes the steps in the second embodiment and/or the third embodiment, and where the same as or similar to the second embodiment and/or the third embodiment, reference may be specifically made to the related description of the second embodiment or the third embodiment, and details are not repeated here, please refer to fig. 6, and the environment monitoring method further includes:
step S301, acquiring data of the type corresponding to the report template in the environmental data according to a pre-stored report template;
in the embodiment of the application, various types of report templates and data types corresponding to the report templates are stored in advance, and the data of the types corresponding to the report templates are obtained from the environmental data.
Step S302, generating a report and storing the report according to the report template and the data corresponding to the report template in the type of the environmental data.
In the embodiment of the application, data are obtained according to the data types needed in the report template, and a corresponding report is generated for the needed users to check.
Therefore, in the embodiment of the application, the report is generated and stored according to the report template and the data corresponding to the report template in the type of the environmental data, so that the data analysis can be performed more visually, the environment can be monitored, and the efficiency of monitoring the environment can be improved.
EXAMPLE five
Fig. 7 shows a block diagram of an environment monitoring device provided in the embodiment of the present application, which corresponds to the environment monitoring method described in the above embodiment, and only shows a part related to the embodiment of the present application for convenience of description. Referring to fig. 7, the apparatus includes:
the first acquisition module 701 is used for receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value;
a detecting module 702, configured to detect whether there is abnormal data in the environmental data;
in one embodiment, the detection module comprises:
the first detection subunit is used for sending an alarm prompt that the particle concentration of a first area of the automatic guided vehicle currently running is abnormal if the particle concentrations detected for M times are greater than a first preset concentration threshold value, and then enabling the particle concentration of a second area of the automatic guided vehicle currently running to meet a first preset requirement if the particle concentrations detected for M times are less than a second preset concentration threshold value; the first preset concentration threshold is greater than the second preset concentration threshold, and M is not less than 1 and is an integer;
the second detection subunit is used for sending an alarm prompt that the temperature value of the first area currently operated by the automatic guided vehicle is abnormal if the temperature values detected for N times are not within the first preset temperature range, and then, if the temperature values detected for N times are within the second preset temperature range, the temperature value of the second area currently operated by the automatic guided vehicle meets a second preset requirement; the first preset temperature range is larger than the second preset temperature range, and N is not less than 1 and is an integer;
the third detection subunit is used for sending an alarm prompt that the humidity value of the first area in which the automatic guided vehicle currently operates is abnormal if the humidity values detected for K consecutive times do not belong to the first preset humidity range, and then enabling the humidity value of the second area in which the automatic guided vehicle currently operates to meet a third preset requirement if the humidity values detected for K consecutive times are all within the second preset humidity range; the first preset humidity range is larger than the second preset humidity range, and K is not less than 1 and is an integer.
An alarm module 703, configured to send an alarm prompt corresponding to the abnormal data if the environmental data has the abnormal data.
In one embodiment, the alarm module 703 includes:
the first alarm unit is used for sending out an alarm prompt that the particle size of a first area where the automatic guided vehicle currently runs is abnormal if the particle size is larger than a first preset size threshold;
the second alarm unit is used for sending out an alarm prompt that the particle concentration of the first area of the automatic guided vehicle in the current operation is abnormal if the particle concentrations detected for M times are greater than a first preset concentration threshold value; wherein M is ≧ 1 and an integer;
the third alarm unit is used for sending an alarm prompt that the temperature value of the first area where the automatic guided vehicle currently runs is abnormal if the temperature values detected for N times continuously are not within the first preset temperature range; wherein N is ≧ 1 and an integer;
the fourth alarm unit is used for sending an alarm prompt that the humidity value of the first area where the automatic guided vehicle currently runs is abnormal if the humidity values detected for K times do not belong to the first preset humidity range; wherein K ≧ 1 and is an integer.
In one embodiment, the apparatus further comprises:
a second obtaining module 704, configured to obtain, if there is abnormal data in the environment data, a pre-stored improvement list corresponding to the abnormal data from a database;
an exception handling module 705, configured to send a prompt for performing improvement handling on the exception data within a first preset time according to the pre-stored improvement list corresponding to the exception data;
and the improvement processing module 706 is used for classifying and storing the improvement processing result when the improvement processing result submitted by the user is detected.
In one embodiment, the apparatus further comprises:
a third obtaining module 707, configured to obtain, according to a pre-stored report template, data of a type corresponding to the report template in the environment data;
and the generating module 708 is configured to generate a report according to the report template and the data in the environment data, where the type of the data corresponds to the report template, and store the report.
Therefore, in the embodiment of the application, the environmental data of the automatic guided vehicle detection workshop can be received, the environment is monitored according to the detected environmental data, and convenience and efficiency of environmental monitoring are improved.
EXAMPLE six
As shown in fig. 8, an embodiment of the present invention further provides a server 800 including: a processor 801 memory 802 and a computer program 803, such as an environmental monitoring program, stored in the memory 802 and operable on the processor 801. The processor 801, when executing the computer program 803, implements the steps in the various environmental monitoring method embodiments described above, such as the method steps in embodiment two, the method steps in embodiment three, and/or the method steps in embodiment four. The processor 801, when executing the computer program 803, implements the functions of the modules in the device embodiments described above, such as the modules 701 to 708 shown in fig. 7.
Illustratively, the computer program 803 may be partitioned into one or more modules that are stored in the memory 802 and executed by the processor 801 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 803 in the server 800. For example, the computer program 803 may be divided into a first obtaining module, a detecting module, an alarming module, a second obtaining module, an exception handling module, an improvement handling module, a third obtaining module, and a generating module, and specific functions of the modules are described in the fifth embodiment, which is not described herein again.
The server 800 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal equipment may include, but is not limited to, a processor 801 and a memory 802. Those skilled in the art will appreciate that fig. 8 is merely an example of a server 800, and does not constitute a limitation of server 800, and may include more or fewer components than shown, or some components in combination, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 801 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 802 may be an internal storage unit of the server 800, such as a hard disk or a memory of the server 800. The memory 802 may also be an external storage device of the server 800, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 800. Further, the memory 802 may also include both an internal storage unit and an external storage device of the server 800. The memory 802 is used for storing the computer programs and other programs and data required by the terminal device. The memory 802 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
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.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated module, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An environment monitoring method is applied to a server, and comprises the following steps:
receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value;
detecting whether abnormal data exist in the environment data;
and if the environmental data has abnormal data, sending an alarm prompt corresponding to the abnormal data.
2. The environmental monitoring method of claim 1, further comprising:
if abnormal data exist in the environmental data, acquiring a pre-stored improvement list corresponding to the abnormal data from a database;
sending a prompt for improving the abnormal data within a first preset time according to the pre-stored improvement list corresponding to the abnormal data;
and when the improvement processing result submitted by the user is detected, classifying and storing the improvement processing result.
3. The environmental monitoring method of claim 1, further comprising:
acquiring data of which the type corresponds to the report template in the environmental data according to a pre-stored report template;
and generating a report and storing the report according to the report template and the data with the type corresponding to the report template in the environmental data.
4. The environment monitoring method according to claim 1, wherein if there is abnormal data in the environment data, sending an alarm prompt corresponding to the abnormal data, comprises:
if the particle size is larger than a first preset size threshold value, sending out an alarm prompt that the particle size of a first area where the automatic guided vehicle currently runs is abnormal;
if the particle concentration detected for M times is greater than a first preset concentration threshold value, sending out an alarm prompt that the particle concentration of a first area of the automatic guided vehicle currently running is abnormal; wherein M is ≧ 1 and an integer;
if the temperature values detected for N times are not within a first preset temperature range, sending an alarm prompt that the temperature value of a first area where the automatic guided vehicle currently runs is abnormal; wherein N is ≧ 1 and an integer;
if the humidity values detected for K times continuously do not belong to a first preset humidity range, sending out an alarm prompt that the humidity value of a first area where the automatic guided vehicle currently runs is abnormal; wherein K ≧ 1 and is an integer.
5. The environmental monitoring method according to claim 4, wherein if the particle concentration detected for M consecutive times is greater than a first preset concentration threshold, after the alarm prompt for the particle concentration abnormality in the first area where the automated guided vehicle is currently running is issued, the method comprises:
if the particle concentration detected for M times is less than a second preset concentration threshold value, the particle concentration of a second area where the automatic guided vehicle currently runs meets a first preset requirement; the first preset concentration threshold is greater than the second preset concentration threshold, and M is not less than 1 and is an integer;
if the temperature values detected for N times continuously are not within a first preset temperature range, after an alarm prompt that the temperature value of a first area where the automatic guided vehicle operates currently is abnormal is sent, the method comprises the following steps:
if the temperature values detected for N times are all within a second preset temperature range, the temperature value of a second area where the automatic guided vehicle currently runs meets a second preset requirement; the first preset temperature range is larger than the second preset temperature range, and N is not less than 1 and is an integer;
if the humidity values detected for K times do not belong to the first preset humidity range, after an alarm prompt that the humidity value of the first area where the automatic guided vehicle runs currently is abnormal is sent, the method comprises the following steps:
if the humidity values detected for K times continuously are all within a second preset humidity range, the humidity value of a second area where the automatic guided vehicle runs currently meets a third preset requirement; the first preset humidity range is larger than the second preset humidity range, and K is not less than 1 and is an integer.
6. The environmental monitoring method according to any one of claims 1 to 5, wherein detecting whether abnormal data exists in the environmental data comprises:
filtering the environmental data;
and judging whether abnormal data exist in the filtered environment data.
7. The environment monitoring device is characterized by being applied to a server and comprising:
the first acquisition module is used for receiving environmental data sent by the automatic guided vehicle when the automatic guided vehicle runs along a preset path; the automatic guided vehicle is pre-provided with a detection device, and the environmental data comprises particle concentration, particle size, temperature value and humidity value;
the detection module is used for detecting whether abnormal data exist in the environment data;
and the alarm module is used for sending an alarm prompt corresponding to the abnormal data if the environmental data has the abnormal data.
8. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
10. An environmental monitoring system, comprising a server and an automated guided vehicle communicatively connected to the server, the server being configured to perform the environmental monitoring method of any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115079651A (en) * | 2022-06-21 | 2022-09-20 | 广汽埃安新能源汽车有限公司 | Power battery laboratory fault processing method and device |
| WO2024016466A1 (en) * | 2022-07-18 | 2024-01-25 | 广东邦普循环科技有限公司 | Processing method and processing system for magnetic particles in positive electrode material sintering workshop |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090113990A1 (en) * | 2006-12-22 | 2009-05-07 | Groves Bruce D | Methods and Systems for Analysis, Reporting and Display of Environmental Data |
| CN104267697A (en) * | 2014-09-28 | 2015-01-07 | 任红 | Following-type environmental parameter monitoring system of workshop |
| CN105823511A (en) * | 2016-03-30 | 2016-08-03 | 成都纺织高等专科学校 | Textile enterprise environmental monitoring system and method |
| CN107037843A (en) * | 2017-04-05 | 2017-08-11 | 合肥酷睿网络科技有限公司 | A kind of factory floor air ambient managing and control system based on arm processor |
| CN108801343A (en) * | 2018-05-25 | 2018-11-13 | 江苏师范大学 | A kind of intelligent car systems applied to atmosphere environment supervision |
| CN108877172A (en) * | 2018-06-26 | 2018-11-23 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of false alarm analysis method, device and terminal device |
| CN109631998A (en) * | 2018-12-26 | 2019-04-16 | 珠海横琴跨境说网络科技有限公司 | For environment artificial intelligence monitors system and environment artificial intelligence monitors method |
| CN109655107A (en) * | 2018-12-25 | 2019-04-19 | 深圳市元征科技股份有限公司 | Air quality monitoring method, device, vehicle and computer readable storage medium |
| CN208795711U (en) * | 2018-08-07 | 2019-04-26 | 贵州财大鼎新科创产业有限公司 | Miniature air quality pre-alert apparatus and system |
| CN110531765A (en) * | 2019-08-27 | 2019-12-03 | 广东技术师范大学天河学院 | A kind of intelligent carriage for environmental monitoring |
-
2020
- 2020-03-20 CN CN202010199951.1A patent/CN113496114A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090113990A1 (en) * | 2006-12-22 | 2009-05-07 | Groves Bruce D | Methods and Systems for Analysis, Reporting and Display of Environmental Data |
| CN104267697A (en) * | 2014-09-28 | 2015-01-07 | 任红 | Following-type environmental parameter monitoring system of workshop |
| CN105823511A (en) * | 2016-03-30 | 2016-08-03 | 成都纺织高等专科学校 | Textile enterprise environmental monitoring system and method |
| CN107037843A (en) * | 2017-04-05 | 2017-08-11 | 合肥酷睿网络科技有限公司 | A kind of factory floor air ambient managing and control system based on arm processor |
| CN108801343A (en) * | 2018-05-25 | 2018-11-13 | 江苏师范大学 | A kind of intelligent car systems applied to atmosphere environment supervision |
| CN108877172A (en) * | 2018-06-26 | 2018-11-23 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of false alarm analysis method, device and terminal device |
| CN208795711U (en) * | 2018-08-07 | 2019-04-26 | 贵州财大鼎新科创产业有限公司 | Miniature air quality pre-alert apparatus and system |
| CN109655107A (en) * | 2018-12-25 | 2019-04-19 | 深圳市元征科技股份有限公司 | Air quality monitoring method, device, vehicle and computer readable storage medium |
| CN109631998A (en) * | 2018-12-26 | 2019-04-16 | 珠海横琴跨境说网络科技有限公司 | For environment artificial intelligence monitors system and environment artificial intelligence monitors method |
| CN110531765A (en) * | 2019-08-27 | 2019-12-03 | 广东技术师范大学天河学院 | A kind of intelligent carriage for environmental monitoring |
Non-Patent Citations (1)
| Title |
|---|
| 戚钰;付维波;: "自动导向小车的研究现状与发展趋势", 山东工业技术, no. 06, 15 March 2017 (2017-03-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115079651A (en) * | 2022-06-21 | 2022-09-20 | 广汽埃安新能源汽车有限公司 | Power battery laboratory fault processing method and device |
| WO2024016466A1 (en) * | 2022-07-18 | 2024-01-25 | 广东邦普循环科技有限公司 | Processing method and processing system for magnetic particles in positive electrode material sintering workshop |
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