CN107436196A - Monitoring arrangement, monitoring method and the information processor having program stored therein - Google Patents
Monitoring arrangement, monitoring method and the information processor having program stored therein Download PDFInfo
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- 230000010365 information processing Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 description 47
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N5/30—Transforming light or analogous information into electric information
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Abstract
The present invention relates to monitoring arrangement, monitoring method and the information processor having program stored therein, and more precisely existing equipment in the space of supervision object is monitored.Monitoring arrangement (1) involved in the present invention is characterised by, including：Image acquiring unit (11), it obtains thermal image from the thermal image sensor (4_1~4_x) of shooting supervision object equipment；Temperature detecting part (13), it is detected to the temperature of at least one monitoring point (500,510_1~510_3) in supervision object equipment (50,51) based on the thermal image obtained by image acquiring unit；Storage part (15), the prediction data (153) of the time change of the temperature of its Storage Estimation monitoring point；And determination unit (14), it compares the data (152) of the temperature of the monitoring point detected by temperature detecting part with prediction data, and the operating condition of supervision object equipment is judged based on comparative result.
Description
Technical field
The present invention relates to the monitoring arrangement of the equipment for monitoring the heatings such as electrical equipment, monitoring method and it is stored with journey
The information processor of sequence, such as it is related to the said equipment is monitored based on the thermal image obtained by thermal image sensor
Monitoring arrangement.
Background technology
As the monitoring arrangement of monitoring the said equipment, in the past known to have a kind of monitoring arrangement, the monitoring arrangement passes through thermal map
As sensor is shot to the region that electrical equipment be present, whether above-mentioned electrical equipment is being transported based on captured thermal image
Capable judgement is rotated into, and judges the electrical equipment whether in unnecessary operating according to whether there is human body in above-mentioned thermal image
(with reference to patent document 1).
Prior art literature
Patent document
Patent document 1：Japanese Patent Laid-Open 2011-203897 publications
The content of the invention
However, because the purpose of the monitoring arrangement disclosed in patent document 1 is electrically setting of finding just unnecessarily to operate
It is standby and alerted, therefore the situation of the electrical equipment that operate without operating can not be detected, or the electricity in operating
Situation of abnormal operation etc. occurs for gas equipment.
Forget to close further, since the monitoring arrangement disclosed in patent document 1 contemplates the electrical equipment in general family
Situations such as closing, therefore it is judged to not needing the operating of electrical equipment in the case that the human body in thermal image is not present.Therefore, example
As server room, a part for factory region etc., still run well when to even if there be no people electric
In the case that region present in equipment is monitored, even if being applicable the monitoring arrangement disclosed in patent document 1, it is also difficult to say energy
Enough carry out high-precision monitoring.
The present invention makes in view of the above problems, it is an object of the present invention to more precisely to supervision object
The operating condition of equipment present in space is monitored.
Solves the technological means of problem
Monitoring arrangement involved in the present invention (1,1A, 1B) is characterised by, including：Image acquiring unit (11), it is from bat
The thermal image sensor (4_1~4_x) for taking the photograph supervision object equipment obtains thermal image；Temperature detecting part (13), it is based on passing through figure
As acquisition unit obtain thermal image, in supervision object equipment (50,51) at least one monitoring point (500,510_1~510_
3) temperature is detected；Storage part (15), its Storage Estimation monitoring point temperature time change prediction data (153,
154)；And determination unit (14), it is by the data (152) of the temperature of the monitoring point detected by temperature detecting part and predicts number
According to comparing, the operating condition of supervision object equipment is judged based on comparative result.
In above-mentioned monitoring arrangement, prediction data can also previously generate comprising the operation mode based on supervision object equipment
Constant data (153).
In above-mentioned monitoring arrangement, prediction data can also be included and given birth to based on the thermal image obtained by image acquiring unit
Into the gradually data (154) that can be updated.
In above-mentioned monitoring arrangement, prediction data can also previously generate comprising the operation mode based on supervision object equipment
Constant data and based on the thermal image obtained by image acquiring unit and the gradually data that can be updated that generate.
In above-mentioned monitoring arrangement, can also have update section (18), its based on from obtained by image acquiring unit its
The time series data of the temperature for the monitoring point that the thermal image on his date detects, updates gradually data with the defined cycle.
In above-mentioned monitoring arrangement, determination unit can also be according to the time series data of temperature and the departure of prediction data, extremely
2nd operating condition of few state more abnormal than the 1st operating condition from the 1st operating condition (normal condition), expression (operates in appropriate
State) and among representing the 3rd operating condition (great abnormality) of the state more abnormal than the 2nd operating condition, judge monitoring
The operating condition of object.
In above-mentioned monitoring arrangement, temperature detecting part can also be detected multiple in supervision object equipment based on thermal image
The temperature of point (510_1~510_3) is monitored, determination unit is according to the temperature data of each monitoring point and the deviation of the prediction data
Amount, from the 1st operating condition (normal condition), represent that the 2nd operating condition of the state more abnormal than the 1st operating condition (is transported in appropriate
Turn state) and represent to judge each prison among the 3rd operating condition (great abnormality) of the state more abnormal than the 2nd operating condition
The state of viewpoint, and the monitoring point in whole result of determination it is consistent in the case of, judge supervision object equipment be with this one
Operating condition corresponding to the result of determination of cause, in the case where at least one monitoring point is judged as the 3rd operating condition, judge prison
Object-based device is regarded as the 3rd operating condition, be not judged as the monitoring point of the 3rd operating condition and at least one monitoring point quilt
In the case of being determined as the 2nd operating condition, judge that supervision object equipment is the 2nd operating condition.
In above-mentioned monitoring arrangement, temperature detecting part can also be detected multiple in supervision object equipment based on thermal image
The temperature of point is monitored, determination unit operates shape according to the time series data of temperature and the departure of prediction data of each monitoring point from the 1st
State (normal condition), the 2nd operating condition (operating condition in appropriate) for representing the state more abnormal than the 1st operating condition and expression
The state of each monitoring point is judged among the 3rd operating condition (great abnormality) of abnormal state than the 2nd operating condition, and
The weighted average of weighted value is calculated according to the result of determination of each monitoring point, the fortune of supervision object equipment is judged based on the average value
Turn state.
Monitoring method involved in the present invention is characterised by, including：1st step (S1), information processor (1,1A,
1B) thermal image is obtained from the thermal image sensor (4_1~4_x) of shooting supervision object equipment；Second step (S2), information processing
Device detects the temperature of at least one monitoring point in supervision object equipment based on the thermal image obtained in the 1st step；
And third step (S3), it is by the temperature data (152) of the monitoring detected in second step point and is stored in storage part
(15) prediction data (153,154) of the predicted value of the time change of the temperature comprising monitoring point compares, and is tied based on comparing
Fruit judges the operating condition of supervision object equipment.
In above-mentioned monitoring method, prediction data previously generates constant comprising the operation mode based on supervision object equipment
Data (153) and based on the thermal image obtained by image acquiring unit and the gradually data (154) that can be updated that generate, the 3rd
Step can also include：4th step (S3A), gradually data are compared with the time series data of temperature, sentenced based on comparative result
Determine the operating condition of supervision object equipment；And the 5th step (S3B), by the when ordinal number of the another aspect of constant data and temperature
According to comparing, the operating condition of supervision object equipment is judged based on comparative result.
In addition, in the above description, as one, bracket is added to record on accompanying drawing corresponding with the inscape of invention
Reference marks.
The effect of invention
By discussed above, in accordance with the invention it is possible to which more precisely monitoring is present in the space of supervision object
The operating condition of equipment.
Brief description of the drawings
Fig. 1 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by embodiment 1.
Fig. 2 is the figure of the configuration example of multiple thermal image sensors in representation space.
Fig. 3 is the figure for the setting example for representing thermal image sensor.
Fig. 4 is for illustrating the list from the thermal image that a thermal image sensor exports with the pixel for being each contained in the thermal image
The figure of position pixel data.
Fig. 5 is the figure of one of the monitoring point for representing supervision object equipment.
Fig. 6 is the figure of one of the sampling for the temperature for representing monitoring point.
Fig. 7 is the figure of one of the comparison for representing temperature data and prediction data.
Fig. 8 A are to represent that the figure of one of the operating condition result of determination data in the case of being one is put in monitoring.
Fig. 8 B are to represent the figure of one of the monitoring point for the operating condition result of determination data in the case of multiple.
Fig. 9 is the flow of the determination processing for the operating condition for representing the equipment that the monitoring arrangement involved by embodiment 1 is carried out
Flow chart.
Figure 10 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by embodiment 2.
Figure 11 is the flow of the determination processing for the operating condition for representing the equipment that the monitoring arrangement involved by embodiment 2 is carried out
Flow chart.
Figure 12 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by embodiment 3.
Figure 13 A are the stream of the determination processing for the operating condition for representing the equipment that the monitoring arrangement involved by embodiment 3 is carried out
The flow chart of journey.
Figure 13 B are the stream of the determination processing for the operating condition for representing the equipment that the monitoring arrangement involved by embodiment 3 is carried out
The flow chart of journey.
Embodiment
Hereinafter, embodiments of the present invention are illustrated referring to the drawings.
《Embodiment 1》
(1) monitoring system
Fig. 1 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by an embodiment.
Monitoring system 100 shown in Fig. 1 is following system：Obtained based on the thermal image sensor by being arranged in building
Thermal image, the operating condition of the equipment of the heatings such as the electrical equipment that is present in building is monitored.
Specifically, monitoring system 100 is by multiple thermal image sensor 4_1 for being arranged in the buildings such as building, factory 3
~4_x (x is more than 2 integer) and monitoring arrangement 1 are formed.
(2) thermal image sensor
Thermal image sensor 4_1~4_x is two-dimensionally arranged, obtains the space 30 for representing the supervision object in building 3
Two-dimentional Temperature Distribution thermal image equipment.Specifically, thermal image sensor 4_1~4_x is with non-contacting respectively
The infrared detection sensor that mode is detected to the two-dimentional Temperature Distribution in defined region.In the present embodiment, with
Each thermal image sensor 4_1~4_x is that the situation of thermopile array sensor illustrates.
Here, thermopile array sensor is the sensor for being two-dimensionally arranged with multiple thermoelectric piles, the thermoelectric pile be by
Thermoelectric conversion element (infrared ray sensor) that thermocouple is formed, detection infrared ray.As thermal image sensor 4_1~4_x,
By two-dimensionally arranging x thermopile array sensor to ceiling etc., the two dimension in the space 30 of supervision object will appreciate that
Temperature Distribution.For example, a thermal image sensor 4_1 is made up of the thermoelectric pile of 32 × 31, each thermoelectric pile respectively constitutes
One pixel.
Fig. 2 is the figure of the configuration example of thermal image sensor 4_1~4_x in the space 30 for represent supervision object.
Here, space 30 for example can be the specific region in a whole floor or a floor in building 3
(for example, 1 living room or multiple living rooms).
As shown in Fig. 2 the space 30 of the supervision object in by building 3 is divided into and thermal image sensor 4_1~4_x
The multiple region 300_1~300_x of quantity identical in the case of, multiple thermal image sensor 4_1~4_x and each region
300_1~300_x is accordingly set.Thermal image sensor 4_1~4_x generates the region of each self-corresponding supervision object respectively
300_1~300_x thermal image 40_1~40_x.In fig. 2, as one, show that space 30 is divided into 22 rows 6 arranges,
Configure thermal image sensor 4_1~4_x situation one by one in the region 300_1~300_x being divided to form.
Fig. 3 is the figure for the setting example for representing thermal image sensor 4_1~4_x.
Some thermal image sensor 4_1~4_x are arranged at the ceiling in space 30, on metope.It is for example, as shown in figure 3, excellent
Choosing is that thermal image sensor 4_1~4_x is arranged at its shooting face 4A directions relative with ground (floor surface) 300B
The ceiling 300A of building 3 surface.Moreover it is preferred that with each thermal image sensor 4_1~4_x shooting face 4A and ground
Each equal mode sets each thermal image sensor 4_1~4_x to face (floor surface) 300B distance.
Thermal image sensor 4_1~4_x is set by as described above, without omitting detects supervision object
Space 30 in each region 300_1~300_x underlying space in two-dimentional Temperature Distribution.
Fig. 4 is for illustrating from the thermal image that a thermal image sensor exports and the pixel for being each contained in the thermal image
Unit pixel data figure.
As shown in figure 4, include in thermal image 40_1~40_x from thermal image sensor 4_1~4_x outputs
Unit pixel data 400_1~400_x, the unit pixel data are represented with input to forming thermal image sensor 4_1~4_x
Each thermoelectric pile infrared ray amount the adaptable value of intensity.
That is, it is the thermopile array sensor with 32 × 31 pixels (thermoelectric pile) in a thermal image sensor 4_1~4_x
In the case of, the thermal image 40_1 exported from a thermal image sensor 4_1 is by the orderly unit pixel of 32 × 31
Data are formed, and by synthesizing respective thermal image 40_1~40_x from thermal image sensor 4_1~4_x outputs, can be obtained
The thermographic image data of the overall two-dimentional Temperature Distribution of representation space 30.
Thermal image sensor 4_1~4_x each self-generatings for example in time per unit include corresponding region 300_1~
Thermal image 40_1~the 40_x in 300_x region.Services of the thermal image sensor 4_1~4_x for example with being arranged in building 3
Device connection (not shown), pass through via above-mentioned server wireless or wired send thermal image 40_1~40_x to monitoring arrangement
1.For example, each thermal image sensor 4_1~4_x generated 300 width thermal image 40_1~40_x in 1 minute, and via above-mentioned clothes
Business device sends thermal image 40_1~40_x to monitoring arrangement 1.
(3) monitoring arrangement 1
Monitoring arrangement 1 is based upon thermal image 40_1~40_x of thermal image sensor 4_1~4_x generations, to monitor presence
In the device of the operating condition of the equipment in the space 30 of supervision object.Monitoring arrangement 1 is for example arranged at the center in building 3
Caretaker room, to the central management in the building management system that is monitored comprising the facility such as multiple building of building 3 or factory
In room etc..
In the present embodiment, monitoring arrangement 1 has following function：The supervision object for judging to be present in space 30 is set
Standby operating condition simultaneously stores the result of determination, and supervision object equipment for abnormal operating condition in the case of notify
The situation.Hereinafter, it is described in detail for monitoring arrangement 1.
As shown in figure 1, monitoring arrangement 1 has image acquiring unit 11, monitoring point instruction unit 12, temperature detecting part 13, judgement
Portion 14, storage part 15 and notification unit 16.
Monitoring arrangement 1 for example by the computer (information processor) of being used as hardware resource and is installed in the computer
On program realize.More specifically, above computer is following PC, including：The program processing apparatus such as CPU；RAM
(Random Access Memory random access memory), ROM and HDD (Hard Disk Drive hard disk drives) etc.
Storage device；Keyboard, mouse, pointing device, operation button and touch-screen etc. are used for the input unit from external input information；
And for via internet, LAN (Local Area Network LANs), WAN (Wide Area Network wide area networks)
The communicator of the transmitting-receiving of various information is wired or wirelessly carried out Deng communication line.
That is, above-mentioned hardware resource is controlled by program, is thus referred to realize that above-mentioned image acquiring unit 11, monitoring are put
Show the function parts such as portion 12, temperature detecting part 13, determination unit 14, storage part 15 and notification unit 16.In addition, above-mentioned program also may be used
To be provided being stored in the state of the storage mediums such as CD-ROM, DVD-ROM, RAM card, can also be deposited via network
It is stored in the storage device in monitoring arrangement 1.
Image acquiring unit 11 is to obtain the thermal image 40_1 in the space 30 by each thermal image sensor 4_1~4_x shootings
~40_x function part.Image acquiring unit 11 obtains within each unit interval by each thermal image sensor 4_1~4_x successively
Thermal image 40_1~40_x of acquisition.
Monitoring point instruction unit 12 is that the monitoring point of the position in the equipment of supervision object to representing measurement temperature refers to
The function part shown.
Fig. 5 is the figure of one of the monitoring point for representing supervision object equipment.
The showing shown with the space 30 in the case of the equipment 50,51 that two supervision objects in space 30 be present in same figure
The plan of meaning property.
In monitoring arrangement 1, for the equipment of each supervision object, the position of measurement temperature at 1 is at least specified (to monitor
Point).Fig. 5 exemplified with a monitoring point 500 is assigned with equipment 50, be assigned with equipment 51 three monitoring point 510_1,
510_2,510_3 situation.
These monitoring points can be become by the operation input from user, instruction from external device (ED)s such as servers etc.
More.For example, the position on the right side in the region for representing equipment 50 can be specified to be used as the monitoring point 500 of equipment 50, also can
Enough monitoring points for only specifying monitoring point 510 to be used as equipment 51.
The operation to monitoring arrangement 1 that monitoring point instruction unit 12 is for example made according to user inputs, and generation represents monitoring point
Information (for example, the positional information such as coordinate in space 30), and be stored in storage part 15 as monitoring point data 151
In.
Temperature detecting part 13 is that the temperature of monitoring point is entered according to the thermal image 40_1~40_x being stored in storage part 15
The function part of row detection.Specifically, temperature detecting part 13 is extracted with being deposited by being stored among thermal image 40_1~40_x
Unit pixel data 400_1~400_x corresponding to the monitoring point that monitoring point data 151 in storage portion 15 is specified, based on the unit
Pixel data 400_1~400_x represents the temperature data 152 of monitoring point temperature to generate.
Now, temperature detecting part 13 can also be according only to the corresponding unit pixel data of coordinate with being designated as monitoring point
To generate temperature data 152, the pixel data of monitoring point can also be not only obtained, but also obtains the pixel data on its periphery,
Temperature data 152 is generated according to the average value of these data.For example, as shown in figure 5, monitor point 510_1 temperature in generation
During data 152, it can also not only extract monitoring point 510_1 but also extract its neighboring area 301A~301D unit pixel number
According to 400_1~400_x, the temperature data 152 using the average value of these data as monitoring point 510_1.
As shown in fig. 6, temperature detecting part 13 with the defined sampling period (temperature survey cycle T s) from thermal image 40_1~
The temperature of each monitoring point is sampled in 40_x, and for each each monitoring point generation temperature data 152.For example, each
Second samples to the temperature of monitoring point, and generates temperature data 152.
Storage part 15 is to store the function that monitoring arrangement 1 to the operating condition of equipment monitor required various data
Portion.For example, be stored with storage part 15 above-mentioned thermal image 40_1~40_x, monitoring point data 151 and temperature data 152,
Constant data 153 described below and operating condition result of determination data 155.
Determination unit 14 is the time series data and prediction data phase of the temperature for the monitoring point that will be detected by temperature detecting part
Compare, the function part of the operating condition of supervision object equipment is judged based on comparative result.
Here, prediction data is the data of the time change of the temperature of prediction monitoring point.Prediction number in present embodiment
According to the constant data 153 previously generated comprising the operation mode based on supervision object equipment.For example, according to one day, one week, it is common
Operating schedule of supervision object equipment in during date, day off etc. are certain etc., to the prison in the supervision object equipment
The time change of the temperature of viewpoint is predicted, and the data of time change of the temperature predicted will be represented as constant data
153 are stored in advance in storage part 15.Prepare constant data 153 for each monitoring point, and be stored in storage part 15.
The external equipment such as the input of the operation to monitoring arrangement 1 made by user, with server of constant data 153
Communication and be sent to monitoring arrangement 1, and be stored in storage part 15.For example, constant data 153 is in monitoring system 100
Maintenance when etc. equipment monitoring action stop when can updating, and equipment monitoring action in will not be updated.
Determination unit 14 judges the operating condition of supervision object equipment with the defined cycle.Specifically, as shown in fig. 6,
With the cycle longer than temperature survey cycle T s, (operating condition judges cycle T d) to judge the operating condition of supervision object equipment.Example
Such as, when the temperature survey cycle is set into 1 second, operating condition judges that cycle T d is set to " 1 minute ", " 10 minutes " etc..
Determination unit 14 judges cycle T d by the monitoring point detected by temperature detecting part 13 for each operating condition
The time series data of temperature judges that supervision object is set compared with the constant data 153 of the monitoring point, and based on the comparative result
Standby operating condition.
For example, as shown in fig. 7, determination unit 14 calculates observed temperature 152_1~152_8 and predicted temperature for each sampling
153_1~153_8 difference, and based on the difference come judge monitoring point state, the observed temperature be from moment t1 then
Operating condition untill carving t2 judges the observed temperature being sampled in cycle T d1_2, and the predicted temperature is to be based on and observed temperature
The predicted temperature of corresponding constant data 153.
For example, determination unit 14 judges the cycle by calculating the quadratic sum of the above-mentioned difference of each sampling to calculate operating condition
The departure of observed temperature and predicted temperature in Td1_2, and based on the size of the departure from normal condition, it is appropriate in operate
The state of the monitoring point is judged among state, great abnormality.
Here, " normal condition " refers to the state for thinking equipment normal work, " great abnormality " refers to think equipment
Work singularly, need to carry out the state of the processing such as arrestment immediately, " operating condition in appropriate " refers to carry out immediately
Arrestment etc. handles but is not also referred to as normal state.
For example, determination unit 14 judges operating condition observed temperature and the prediction of the defined monitoring point in cycle T d1_2
The departure of temperature and two threshold values Th1, Th2 (Th1 ＜ Th2) are compared, and in the case where the departure is more than threshold value Th2, are sentenced
The state of the fixed monitoring point is " great abnormality ", in the case where the departure is less than threshold value Th2 and is more than threshold value Th1,
The state for judging the monitoring point is " operating condition in appropriate ", in the case where the departure is less than threshold value Th1, judges the monitoring
The state of point is " normal condition ".Hereinafter, " normal condition " is labeled as " A " respectively, " operating condition in appropriate " is labeled as
" B ", " great abnormality " is labeled as " C ".
Here, in the case of a monitoring point is only set with a supervision object equipment, the judgement of the monitoring point
As a result the result of determination of the operating condition of supervision object equipment is turned into.For example, in the situation of the supervision object equipment 50 shown in Fig. 5
Under, if the result of determination of monitoring point 500 is " A ", then the result of determination of supervision object equipment 50 is " A ", if monitoring
If the result of determination of point 500 is " B ", then the result of determination of supervision object equipment 50 is " B ", if the judgement of monitoring point 500
As a result if being " C ", then the result of determination of supervision object equipment 50 is " C ".
On the other hand, in the case of multiple monitoring points are set with a supervision object equipment, synthetically judge multiple
The monitoring result put is monitored to judge the operating condition of supervision object equipment.
For example, in the case of the supervision object equipment 51 shown in Fig. 5, monitor that point 510_1~510_3 is entirely identical at three
Result of determination in the case of, the result of determination turn into supervision object equipment 51 result of determination.For example, monitor point at three
In the case of 510_1~510_3 result of determination all " normal condition (A) ", the result of determination of supervision object equipment 51 is
“A”。
On the other hand, as long as if three one monitored in point 510_1~510_3 are " great abnormality (C) ", then
The result of determination of supervision object equipment 51 is " C ", and " great abnormality is not present among three monitoring point 510_1~510_3
(C) ", as long as and one of them for " appropriate in operating condition (B) ", then the result of determination of supervision object equipment 51 is " B ".
As above, determination unit 14 judges observed temperatures and pre- thermometric of the cycle T d according to each monitoring point with operating condition
The departure of degree judges the operating of supervision object equipment to judge the state of monitoring point based on the result of determination of the monitoring point
State.
The result of determination of determination unit 14 is stored in storage part 15 as operating condition result of determination data 155.
Fig. 8 A, Fig. 8 B are the figures of one for representing operating condition result of determination data 155.
One of the operating condition result of determination data 155 on the supervision object equipment 50 shown in Fig. 4 is shown in fig. 8 a,
One of the operating condition result of determination data 155 on the supervision object equipment 51 shown in Fig. 4 is shown in the fig. 8b.
As shown in Fig. 8 A, Fig. 8 B, cycle T d is judged for each operating condition in operating condition result of determination data 155
It is stored with the result of determination of monitoring point and the result of determination of supervision object equipment.In addition, except above-mentioned information, can also store
Perform at the time of sampling, the observed temperature of each monitoring point.
Notification unit 16 is the function part for the operating condition result of determination for notifying supervision object equipment.Specifically, passing through
In the case that determination unit 15 is determined as that supervision object equipment is " great abnormality (C) ", notification unit 16 is used for the feelings
Condition notifies the processing to user.For example, the letter that notification unit 16 can will represent that supervision object equipment is " great abnormality (C) "
Breath is shown in the display devices such as the LCDs being connected with monitoring arrangement 1, can also be connected by sound from monitoring arrangement 1
The situation that supervision object equipment is " great abnormality (C) " is notified in loudspeaker connect etc..In addition, notification unit 16 can also lead to
Wireless or limited communication is crossed, is sent for external device (ED)s such as servers and represents that supervision object equipment is " great abnormality
(C) information ".
Next, the flow of the determination processing of the operating condition of the equipment carried out for monitoring arrangement 1 illustrates.
Fig. 9 is the flow of the determination processing for the operating condition for representing the equipment that the monitoring arrangement involved by embodiment 1 is carried out
Flow chart.
For example, supervision object equipment in the space 30 of supervision object made by user operation input, with server
Communicate and be designated, monitoring has been stored in the monitoring point data 151 and constant data 153 of the supervision object device-dependent
In the state of device 1 if the execution of instruction monitoring processing, monitoring arrangement 1 starts to be used to monitor appointed supervision object equipment
Operating condition monitoring processing.
First, image acquiring unit 11 obtains the heat from each thermal image sensor 4_1~4_x outputs within each stipulated time
Image 40_1~40_x, and (S1) is sequentially stored in storage part 15.
Next, by above-mentioned gimmick, temperature detecting part 13 is according to the thermal image 40_ got by image acquiring unit 11
1~40_x, to by monitoring that point data 151 detects and the temperature of appointed monitoring point, generating the temperature of each monitoring point
Degrees of data 152 is simultaneously stored in storage part 15 (S2).Step S2 processing (is adopted with advance appointed temperature survey cycle T s
The sample cycle：Such as each second) come what is performed.
Next, once arrived the execution moment for the determination processing that cycle T d is judged based on operating condition, then determination unit 14
The operating condition of supervision object equipment is judged (S3).Specifically, determination unit 14 judges according to based on operating condition
The observed temperature (temperature data 152) that cycle T d specified time limit gets and the prediction data based on constant data 153, pass through
Above-mentioned gimmick is judged the state of each monitoring point, and judges the operating shape of supervision object equipment based on the result of determination
State.
The operating condition result of determination data 155 obtained by step S3 determination processing are stored storage by determination unit 14
In portion 15 (step S4).
Next, in step S3 determination processing, in the feelings that the equipment for being judged as " great abnormality (C) " be present
Under condition, notification unit 16 notifies the situation to outside (S5).The method of the notice is as described above.
In the case where continuing monitoring processing after step S5 has carried out the notice of " great abnormality (C) ", step is returned
Rapid S2, repeat above-mentioned processing.On the other hand, do not continue to supervise after the notice of " great abnormality (C) " has been carried out
In the case of stopping depending on processing, terminate monitoring processing.
As long as in addition, it is configured to whether continue monitoring processing in the case where detecting " great abnormality (C) "
Can arbitrarily it be changed by user.
More than, the monitoring arrangement 1 according to involved by embodiment 1, due to the temperature for putting the monitoring in supervision object equipment
The prediction data of degree with detected according to thermal image monitoring point temperature time series data compared with, thus come judge monitoring pair
As the operating condition of equipment, therefore it can not only detect whether supervision object equipment is unnecessarily operating, additionally it is possible to which detection should
The equipment operated does not have situation of equipment abnormal operation in the situation of operating, operating etc..
Further, since need not judge to whether there is people in thermal image as prior art, therefore even if it is disposed on example
As server room, a part for factory region etc. be not present people region equipment, also without operating condition
The decline of judgement precision.
Therefore, the monitoring arrangement 1 according to involved by embodiment 1, compared with prior art, can more precisely monitor
The operating condition of the equipment such as the electrical equipment being present in the space of supervision object.
In addition, the monitoring arrangement 1 according to involved by embodiment 1, is used for due to having used thermal image sensor to be used as
Detect supervision object equipment temperature sensor, therefore even in change supervision object equipment situation, it is same monitoring pair
In the case of as change monitoring point in equipment, it can also compare and easily be changed using the situation of the temperature sensor of contact-type.
《Embodiment 2》
Figure 10 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by embodiment 2.
With the monitoring arrangement 1A shown in figure using based on the thermal image 40_1~40_x actually obtained by image acquiring unit 11
And generate the gradually data that can be updated come replace constant data 153 as monitoring put temperature prediction data on this point
It is different from embodiment 1, and it is identical with the monitoring arrangement 1 involved by embodiment 1 on others point.
It is pair same with the monitoring arrangement 1 involved by embodiment 1 in addition, in the monitoring arrangement 1A involved by embodiment 2
The inscape addition identical symbol of sample, omits the detailed description.
Specifically, monitoring arrangement 1A is stored with gradually data 154 as the prediction data being stored in storage part 15, and
And also there is the gradually data update section 18 for updating gradually data 154.
Here, gradually data 154 as described above, are based upon the thermal image 40_1 that image acquiring unit 11 actually obtains
~40_x and generate, represent monitoring point temperature time change prediction data.
Gradually data update section 18 is following function part：Based on being obtained by temperature detecting part 13 from by image acquiring unit 11
The time series data of the temperature for the monitoring point that the thermal image 40_1~40_x on other dates got is detected, with the defined cycle more
New gradually data 154.
Specifically, gradually data update section 18 is come more according to the renewal calendar 156 being stored in storage part 15
New gradually data 154.
Here, renewal calendar 156 for example includes information and the expression at the time of representing to update gradually data 154
The information of more new content.For example, in the case where using the temperature data 152 of the previous day as gradually data 154, specify at 24 points
It is contained in as the information of renewable time and expression using the temperature data 152 of the previous day as the information of gradually data 154
Update in calendar 156.In addition, the temperature data 152 in the identical week for example before using one week is as gradually data
In the case of 154, specify 24 points of information as renewable time and represent the temperature data 152 in the identical week before using one week
Information as gradually data is contained in renewal calendar 156.
For example, in the case where using the temperature data 152 of the previous day as gradually data 154, once to by updating
At the time of calendar 156 is specified, then gradually data update section 18 is read from storage part 15 from passing through thermal image sensor
The temperature data of one day (24 hours) of the monitoring point sampled in thermal image 40_1~40_x of the previous day of 4_1~4_x shootings
(time series data), and using the data as gradually data 154.For example, at Tuesday, the previous day is used in monitoring arrangement 1
In the case that temperature data 152 acquired in Monday performs monitoring processing as gradually data 154, if the date changes over
For Wednesday, then gradually the temperature data 152 of Tuesday acquisition in the previous day is rewritten as gradually data by data update section 18
154。
In this way, gradually data update section 18 is based on the actual temperature being sampled in advance before one day, before one week, before January etc.
Degrees of data 152 generates gradually data 154.
In addition, such as by the data input from user for monitoring arrangement 1, based on from server outside set
The data input of standby communication, renewal calendar 156 are pre-stored in storage part 15 in execution monitoring before processing.
Next, the determination processing of the operating condition to the equipment carried out of the monitoring arrangement 1A involved by embodiment 2
Flow illustrate.
Figure 11 is the stream of the determination processing for the operating condition for representing the equipment that the monitoring arrangement 1A involved by embodiment 2 is carried out
The flow chart of journey.
In fig. 11, untill the processing (step S2) for obtaining temperature data is played in monitoring processing since monitoring arrangement 1A and implement
Flow (Fig. 9) involved by mode 1 is identical.
Upon step s 2, once having arrived the execution moment for the determination processing that cycle T d is judged based on operating condition, judge
Portion 14 is judged (S3A) the operating condition of supervision object equipment.Specifically, determination unit 14 is according to based on operating condition
Judge observed temperature (temperature data 152) that cycle T d specified time limit obtains and predicted temperature based on gradually data 154 come
Judge the state of each monitoring point, and the operating condition of supervision object equipment is judged based on the result of determination.Here, decision method
It is identical with the monitoring arrangement 1 involved by embodiment 1, only using gradually data 154 to compare instead of the conduct of constant data 153
On this point of the prediction data of object, is different.
After this, and monitoring arrangement 1 involved by embodiment 1 is similarly, and determination unit 14 will pass through step S3A judgement
The operating condition result of determination data 155 that processing obtains are stored in storage part 15 (S4A), are being judged as " great abnormal shape
In the presence of the equipment of state (C) ", notification unit 16 notifies the situation to outside (S5).Carried out in step S5 " great different
After the notice of normal state (C) ", in the case where continuing monitoring processing, return to step S2, above-mentioned processing is repeated,
Do not continue monitoring processing in the case of stopping, terminating monitoring processing.
Be judged as in step s 4 " great abnormality (C) " equipment be not present in the case of, gradually data update
Portion 18 determines whether renewal gradually data 154 (S6).Specifically, gradually data update section 18 determines whether to meet by updating day
The condition (such as moment) that journey table data 156 are specified.
In step s 6, in the case of no condition for meeting to be specified by renewal calendar 156, return to step
S2, repeat above-mentioned processing.On the other hand, in the case of the condition for meeting to be specified by renewal calendar 156, by
Secondary data update section 18 updates gradually data 154 (S7) according to the more new content specified by renewal calendar 156.This it
Afterwards, step S2 is again returned to, repeats above-mentioned processing.
More than, monitoring arrangement 1A according to involved by embodiment 2, due to using based on actual being obtained on other dates
The gradually data 154 of temperature data 152 are used as prediction data, even therefore for example showing the setting temperature of the air-conditioning in space 30
Spend from initial setting value and change, in the case of the change that the temperature of equipment is slightly different with prediction originally, or equipment
Temperature is in normal actuating range in the case of change daily, operating that also can regardless of such temperature change to equipment
State is suitably judged.
《Embodiment 3》
Figure 12 is the figure for the composition for representing the monitoring system comprising the monitoring arrangement involved by embodiment 3.
Both constant data 153 and gradually data 154 are being used as the temperature of monitoring point with the monitoring arrangement 1B shown in figure
It is different from the monitoring arrangement 1 involved by embodiment 1,2,1A on this point of prediction data, on other aspects with embodiment 1,2
Involved monitoring arrangement 1,1A are identical.
In addition, in the monitoring arrangement 1B involved by embodiment 3, the monitoring arrangement pair involved by with embodiment 1,2
1st, inscape addition identical symbol same 1A, omits the detailed description.
Specifically, using constant data 153 and gradually data 154 are stored in storage part to monitoring arrangement 1A as prediction data
In 15.Determination unit 14B judges cycle T d by the temperature data 152 sampled and constant data 153 and gradually with operating condition
Data 154 compare, so as to judge operating condition.
Figure 13 A, Figure 13 B are the operating conditions for representing the equipment that the monitoring arrangement 1B involved by embodiment 3 is carried out
The flow chart of the flow of determination processing.
In Figure 13 A, Figure 13 B, the processing (step S2) that acquisition temperature data is played in monitoring processing since monitoring arrangement 1B is
Only it is identical with the flow (Fig. 9) involved by embodiment 1.
Upon step s 2, once having arrived the execution moment for the determination processing that cycle T d is judged based on operating condition, then sentence
Portion 14B is determined according to the observed temperature (temperature data 152) and base in the specified time limit acquisition that cycle T d is judged based on operating condition
Judge in the predicted temperature of gradually data 154 state of each monitoring point, and judge that supervision object is set based on the result of determination
Standby operating condition (S3A).
After this, and monitoring arrangement 1 involved by embodiment 1 is similarly, and determination unit 14 will pass through step S3A judgement
The operating condition result of determination data 155 that processing obtains are stored in storage part 15 (S4A), are being judged as " great abnormal shape
In the presence of the equipment of state (C) ", notification unit 16 notifies the situation to outside (S5).
After the notice that step S5 has carried out " great abnormality (C) ", in the case where continuing monitoring processing, return
Step S2, above-mentioned processing is repeated, do not continuing monitoring processing in the case of stopping, terminating monitoring processing.
In step s 4, be judged as " great abnormality (C) " equipment be not present in the case of, gradually data update
Portion 18 determines whether renewal gradually data 154 (S6).Specifically, gradually data update section 18 determines whether to meet by updating day
The condition (such as moment) that journey table data 156 are specified.
In step s 6, in the case where meeting the condition specified by renewal calendar 156, gradually data update section
18 update gradually data 154 (S7) according to the more new content specified by renewal calendar 156.
After this, into step S3B.On the other hand, in step s 6, not by meeting to update calendar 156
In the case of the condition specified, gradually data update section 18 enters step S3B without the renewal of gradually data 154.
In step S3B, determination unit 14B is according to the actual measurement in the specified time limit acquisition that cycle T d is judged based on operating condition
Temperature (temperature data 152) and the state of each monitoring point is judged based on the predicted temperature of constant data 153, and be based on the judgement
As a result the operating condition of supervision object equipment is judged.
Next, determination unit 14 will pass through step S3B judgement with the monitoring arrangement 1 involved by embodiment 1 similarly
The operating condition result of determination data 155 that processing obtains are stored in storage part 15 (S4B).
In step S4B, in the presence of the equipment of " great abnormality (C) " is judged as, notification unit 16 will
The situation is notified to outside (S5).After this, and it is described above identical.On the other hand, in step S4B, it is being judged as " weight
In the case that the equipment of big abnormality (C) " is not present, return to step S2 simultaneously repeats above-mentioned processing.
More than, the monitoring arrangement 1B according to involved by embodiment 3, it is based on due to having used in the actual acquisition of other dates
Temperature data 152 gradually data 154 and the constant data 153 that predicts the operation mode of equipment in advance and generate as pre-
Survey data, thus such as in the equipment fault due to supervision object cause daily caloric value increase, temperature is compared originally
Prediction be significantly increased in the case of, by the more undetectable failure with gradually data 154 also can by with constant number
According to comparison detect.
More than, the invention made by present inventor is specifically illustrated based on embodiment, but the present invention is not
This is defined in, a variety of changes can be naturally also carried out in the range of its main contents is not departed from.
For example, illustrate in the above-described embodiment, be set with a supervision object equipment a multiple monitoring point situations
Under the judgement gimmick of operating condition that is carried out of determination unit 14 be not necessarily limited to above-mentioned example.For example, it can also calculate
According to the weighted average of the value of the result of determination weighting gained of each monitoring point, supervision object equipment is judged based on the average value
Operating condition.For example, it is also possible to as " normal condition " is set into " 1 ", " operating condition in appropriate " is set to " 3 ", will be " great different
Normal state " is set to " 10 " and equally quantized, and calculates the judgement of whole monitoring points in a supervision object equipment
As a result the average value of value, the operating condition of supervision object equipment is judged based on the average value.
In addition, in the above-described embodiment, judge that cycle T d is more than temperature survey cycle T s (samplings exemplified with operating condition
Cycle) situation (reference picture 6,7), but operating condition can also be judged for each sampling with for example making Td=Ts.
In addition, in the above-described embodiment, exemplified with use in a period of cycle T d1_2 regulations are judged by operating condition
Temperature data 152_1~the 152_8 being sampled judges the situation of operating condition, but can not also be used only in operating condition and sentence
The temperature data being sampled in fixed cycle Td1_2, the temperature being sampled in cycle T d is also judged using operating condition before this
Degrees of data 152 judges operating condition.
In addition, in embodiment 3, exemplified with after the comparison (S3A) with gradually data 154 is carried out progress with it is constant
The comparison (S3B) of data 153 is used as the situation of the determination processing of operating condition, but is not limited to this, can also carry out
With carrying out the comparison (S3A) with gradually data 154 after the comparison (S3B) of constant data 153, the order being compared does not have
Special limitation.
In addition, in the above-described embodiment, define normal condition, appropriate interior operating condition and great abnormality three
Operating condition of the kind state as supervision object equipment, but more than 4 kinds of state can also be defined, it can also only define two kinds of shapes
State (exist abnormal/be not present abnormal).
In addition it is also possible to it is used as determination unit using image processing techniques such as known figure identification, difference processings
The calculating gimmick of 14 departures carried out.
In addition, in the above-described embodiment, exemplified with parallel with ground (floor surface) 300B and shoot to shoot face 4A
Each thermal image sensor 4_1~4_x is arranged at the smallpox in space 30 to face 4A and ground 300B distance by equal mode
Situation on plate, metope, but it is not limited to this.For example, it is also possible to make each thermal image sensor 4_1~4_x shooting face 4A
It is different with the distance on ground 300, each thermal image sensor 4_1~4_x shooting face 4A and ground 300 can also be made not parallel.
Symbol description
100th, 100A, 100B ... monitoring system, 1,1A, 1B ... monitoring arrangement, 3 ... buildings, 4_1~4_x ... thermal images
Sensor, 11 ... image acquiring units, 12 ... monitoring point instruction units, 13 ... temperature detecting parts, 14,14B ... determination units, 15 ... storages
Portion, 16 ... notification units, 18 ... gradually data update section, 151 ... monitoring point datas, 152 ... temperature datas, 153 ... constant datas,
155 ... operating condition result of determination data, 156 ... renewal calendars, 30 ... spaces, 300_1~300_x ... regions, 40_
1~40_x ... thermal images, 400_1~400_x ... unit pixel data.
Claims (11)
- A kind of 1. monitoring arrangement, it is characterised in that including：Image acquiring unit, it obtains thermal image from the thermal image sensor of shooting supervision object equipment；Temperature detecting part, it is based on the thermal image obtained by described image acquisition unit, in the supervision object equipment The temperature of at least one monitoring point detected；Storage part, the prediction data of the time change of temperature a little is monitored described in its Storage Estimation；AndDetermination unit, it compares the data of the temperature of the monitoring point detected by the temperature detecting part and the prediction number According to judging the operating condition of the supervision object equipment based on comparative result.
- 2. monitoring arrangement according to claim 1, it is characterised in thatThe prediction data includes the constant data that the operation mode based on the supervision object equipment previously generates.
- 3. monitoring arrangement according to claim 1, it is characterised in thatThe prediction data include based on obtained by described image acquisition unit the thermal image generation can update by Secondary data.
- 4. monitoring arrangement according to claim 1, it is characterised in thatThe prediction data includes the constant data that previously generates of the operation mode based on the supervision object equipment and based on logical Cross the gradually data that can be updated of the thermal image generation of described image acquisition unit acquisition.
- 5. according to the monitoring arrangement described in claim 3 or 4, it is characterised in thatAlso there is update section, it is based on the institute detected from the thermal image on other dates acquired in described image acquisition unit The time series data of the temperature of monitoring point is stated, the gradually data are updated with the defined cycle.
- 6. monitoring arrangement as claimed in any of claims 1 to 5, it is characterised in thatThe determination unit at least from the 1st operating condition, represents according to the data of the temperature and the departure of the prediction data Than the 1st operating condition, the 2nd operating condition of abnormal state and expression are than the state of the 2nd operating condition exception Among 3rd operating condition, the operating condition of the supervision object equipment is judged.
- 7. monitoring arrangement as claimed in any of claims 1 to 5, it is characterised in thatThe temperature detecting part detects the temperature of multiple monitoring points in the supervision object equipment based on the thermal image Degree,The determination unit according to the departure of the temperature data and the prediction data of each monitoring point, from the 1st operating condition, Represent the 2nd operating condition of the state more abnormal than the 1st operating condition and represent the shape more abnormal than the 2nd operating condition Judge the state of each monitoring point among 3rd operating condition of state, and the result of determination of the monitoring point in whole is consistent In the case of, the supervision object equipment is judged for the corresponding operating condition of consistent with this result of determination, at least one described In the case that monitoring point is judged as the 3rd operating condition, judge that the supervision object equipment is the 3rd operating condition, The monitoring point for being judged as the 3rd operating condition be not present and at least one monitoring point be judged as it is described In the case of 2nd operating condition, it is the 2nd operating condition to judge the supervision object equipment.
- 8. monitoring arrangement as claimed in any of claims 1 to 5, it is characterised in thatThe temperature detecting part detects the temperature of multiple monitoring points in the supervision object equipment based on the thermal image Degree,The determination unit operates shape according to the departure of the data and the prediction data of the temperature of each monitoring point from the 1st State, the 2nd operating condition for representing the state more abnormal than the 1st operating condition and expression are more abnormal than the 2nd operating condition State the 3rd operating condition among judge it is each monitoring point state, and calculate according to it is each monitoring point result of determination weight The weighted average of resulting value, the operating condition of the supervision object equipment is judged based on the average value.
- A kind of 9. monitoring method, it is characterised in that including：1st step, information processor obtain thermal image from the thermal image sensor of shooting supervision object equipment；Second step, described information processing unit detect the monitoring based on the thermal image obtained in the 1st step The temperature of at least one monitoring point in object-based device；AndThird step, compare the data of the temperature of the monitoring point detected in the second step and be stored in storage part , predict it is described monitoring point temperature time change prediction data, the supervision object is judged based on comparative result The operating condition of equipment.
- 10. monitoring method according to claim 9, it is characterised in thatThe perseverance that the operation mode that the prediction data includes the elapsed time change based on the supervision object equipment previously generates Fixed number evidence and based on the thermal image obtained by described image acquisition unit and the gradually data that can be updated that generate,The third step includes：4th step, the gradually data are compared with the data of the temperature, the monitoring pair is judged based on comparative result As the operating condition of equipment；And5th step, the constant data is compared with the data of the temperature, the monitoring pair is judged based on comparative result As the operating condition of equipment.
- A kind of 11. information processor having program stored therein, it is characterised in thatThe program makes each step in the monitoring method described in claim 9 or 10 be run in described information processing unit.
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| JP2016104053A JP6767166B2 (en) | 2016-05-25 | 2016-05-25 | Monitoring equipment, monitoring methods, and programs |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111065916A (en) * | 2017-09-21 | 2020-04-24 | 株式会社日立制作所 | Bonding process line monitoring system |
| CN111076822A (en) * | 2019-12-13 | 2020-04-28 | 富德康(北京)科技股份有限公司 | Splicing array method for generating bulk thermodynamic diagram |
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| JP7006523B2 (en) * | 2018-06-19 | 2022-01-24 | オムロン株式会社 | Information processing equipment, information processing methods, and programs |
| WO2020008533A1 (en) * | 2018-07-03 | 2020-01-09 | 三菱電機株式会社 | Data processing device and data processing method |
| KR102337790B1 (en) * | 2021-06-07 | 2021-12-09 | (주)지슨 | Hidden camera detector and method using temperature change |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101930228A (en) * | 2009-06-18 | 2010-12-29 | 株式会社山武 | Facilities control device and facilities control method |
| JP2016038277A (en) * | 2014-08-07 | 2016-03-22 | 株式会社東光高岳 | Electrical facility temperature monitoring device and electrical facility temperature monitoring system |
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2016
- 2016-05-25 JP JP2016104053A patent/JP6767166B2/en active Active
-
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- 2017-05-12 KR KR1020170059065A patent/KR20170133259A/en not_active Application Discontinuation
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101930228A (en) * | 2009-06-18 | 2010-12-29 | 株式会社山武 | Facilities control device and facilities control method |
| JP2016038277A (en) * | 2014-08-07 | 2016-03-22 | 株式会社東光高岳 | Electrical facility temperature monitoring device and electrical facility temperature monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111065916A (en) * | 2017-09-21 | 2020-04-24 | 株式会社日立制作所 | Bonding process line monitoring system |
| CN111076822A (en) * | 2019-12-13 | 2020-04-28 | 富德康(北京)科技股份有限公司 | Splicing array method for generating bulk thermodynamic diagram |
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| CN107436196B (en) | 2019-09-27 |
| JP6767166B2 (en) | 2020-10-14 |
| KR20170133259A (en) | 2017-12-05 |
| JP2017211801A (en) | 2017-11-30 |
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