JP2001227044A - Operation support method and apparatus for rainwater drainage pump field - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support planning of personnel distribution for a rainwater drainage pump field in an on-line system. SOLUTION: This operation support method and apparatus are realized by a computer system provided with a rainwater inflow estimating part 102 for collecting on-line weather information 101, and estimating the rainwater inflow of a rainwater drainage pump field on a planning period and a personnel distribution planning part 103 for obtaining data row of crisis level for pump operation for every unit time from the time series of estimated rainwater inflow, and retrieving similar crisis level data row and its personnel distribution experience data row referring to a personnel distribution experience data base 110 by the above data row to guide to a display 112.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for supporting operation of a rainwater drainage pumping station, and more particularly to a method for supporting the staffing plan of a pumping station.

[0002]

2. Description of the Related Art Rainwater drainage facilities for collecting and storing rainwater in urban areas and the like through pipes in each area and draining the water safely and efficiently to rivers and the sea are installed. For this stormwater drainage facility, a driving support system has been proposed that calculates a safe and efficient number of pumps to operate based on the amount of rainfall and the predicted amount in the area and the operation status of the stormwater pump (Japanese Patent Application Publication No. Hei 4-4). No. 76637, JP-A-6-26093). In addition, the rainwater inflow is accurately predicted in consideration of the rainwater inflow from the main trunk line in the target basin to the pump station branching from the main trunk and the fact that the ground characteristics (water retention capacity) change depending on the rainfall conditions. There is a proposal of a method (JP-A-6-3228).
08, JP-A-11-36422).

[0003]

However, the operation support of the above-mentioned conventional rainwater drainage facility is limited to pump operation control.
No consideration has been given to staffing planning support.
The conventional staffing of stormwater drainage pump stations is based on a warning level, such as a forecast of rainfall, which is determined by the department in charge of the sewerage management bureau or river management bureau that manages the operation of the pumping stations in each area within a certain area. Plan for a day period.
However, since the working hours of the plan include holidays and nights, it is often difficult to properly allocate personnel among limited personnel.

[0004] The above alert level is determined mainly by the amount of rainfall and the absolute amount per unit time, and cannot be said to be sufficiently based on the amount of rainwater inflow and drainage capacity of each pumping station. For this reason, there is no close relationship between the necessary personnel of the pumping station according to the situation, and as a result, the staffing has to rely on the experience of the manager. In addition, it is difficult to make an online plan that reflects the ever-changing situation. Appropriate staffing based on collection and drainage processes at each pumping station is an important issue not only in terms of efficiency but also safety.

An object of the present invention is to provide a method for performing a staffing plan necessary for operation of a rainwater drainage pump station in accordance with prediction of rainwater inflow, and a rainwater drainage pump station operation support apparatus in view of the above-mentioned state of the art. Is to do.

[0006]

SUMMARY OF THE INVENTION The present invention relates to a system for supporting the operation of a rainwater drainage pumping station (hereinafter referred to as a pumping station) which is provided for each area and collects rainwater and discharges it to rivers and the sea. Rainwater inflow to the pumping station is predicted from the present time for the future planning period (for example, 1 to 2 days) based on accurate weather information, and a crisis per unit time (for example, 1 hour) corresponding to a change in the inflow prediction is performed. Estimate the time series of the levels, search the staffing required for pumping station operation set from the actual results for each crisis level, and propose the staffing plan.

[0007] The crisis level is an evaluation scale from the safe operation area to the dangerous operation area of the pumping station, and is obtained by a predetermined model formula based on a change in water storage calculated from a change in inflow of rainwater into the pumping station.

[0008] In the performance database, a data string in which the crisis level time series obtained in the past and the actual number of staff assigned for each unit time (section) are accumulated, and the crisis level time series during the planning period is searched. As a key, a data string having a similar sequence of the crisis levels is extracted from the performance database. The data sequence of the performance database is enriched by feeding back the online plan and its performance, and the similarity of the similar data sequence is improved.

The present invention is also understood as an operation support device for a rainwater drainage pump station in which the above-mentioned operation support method of the present invention is realized by a computer device, or a storage medium storing a program and data for executing the operation support method. Is done.

[0010]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 2 shows an overall configuration of a rainwater drainage facility management system to which the present invention is applied. This management system is installed in a predetermined area, and rainwater drainage pump stations P1 to P1 are respectively provided in watersheds Z1 to Z3 which divide the area into a plurality.
P3 is provided, and operation of each pumping station P is managed by the main office 1. Depending on the size of the urban area, the number of pump stations will be tens to hundreds.

In each watershed Z, ground-based rainfall observation devices T1 to T1 are provided.
T3 is provided, and the observation result is periodically taken into the main station 1. In addition, weather forecasts and rain cloud radars for each catchment area are also included. In order to efficiently collect various weather information, the head office 1 and each pumping station P are constructed as an online system connected by a public line or a dedicated line.

The head office 1 of the embodiment is provided with a rainwater drainage pump station operation support device 10 according to the present invention, which predicts a change in required staff at each pump station and plans staffing. Note that the driving support device 10 can also be realized as a configuration provided for each pump station.

FIG. 1 is a functional block diagram of a rainwater drainage pump station operation support device according to an embodiment of the present invention, which is realized by a computer device. Alternatively, as one function of the computer device constituting the management device of the head office 1, for example, a storage medium storing the operation support function described below as a processing program of the computer can be provided.

The operation support apparatus 10 includes a rainwater inflow predicting unit 10
2 and staffing planning unit 103, and rainwater inflow forecasting unit 1
Numeral 02 predicts the amount of rainwater flowing into the pumping station during a predetermined period based on weather information 101 such as weather forecast, radar rainfall, and ground rainfall. The staffing planning unit 103 inputs the predicted inflow of rainwater, refers to the staffing performance database 109 provided in the storage device 108, predicts the required staffing in each time zone during the planning period, and Is output to the display 112.

The staffing planning unit 103 includes a crisis level conversion process 104, a crisis level similarity search process 105, a staffing guidance output process 106, and a staffing performance feedback process 107. Crisis level conversion processing 1
In step 04, a crisis level is calculated for each unit time of employment of the pump station operator (hereinafter abbreviated as unit time), for example, every hour from the amount of rainwater inflow, and time series is made for the planning period.

In the crisis level similarity search processing 105, a result data string in which the crisis level time series is identical or similar is searched from the staffing performance record database 110. When a similar result data string is found, the staff placement result in the result data string is corrected with reference to the staff correction ratio table 111. In addition, since there is a low possibility of coincidence in the initial stage of system introduction, correction is made by the number of persons initially set for each crisis level in the crisis level independent allocation table 109. The assigned staff is appropriately corrected according to the performance.

FIG. 3 shows the data configuration of the staffing performance record database and the crisis level single location table. (A)
Is the data configuration of the staffing performance DB 110, which stores the crisis levels in the unit time of the past planning period obtained by the crisis level similarity search processing 105 and the allocation results (personnel) actually arranged in the section by the manager. ing. Since the staffing plan according to the present embodiment is executed at a unit time of employment or a shorter cycle, continuous online time-series data is accumulated in the results DB 110. (B) is a data configuration of the crisis level single allocation table 109, in which the number of staff assigned for each crisis level is set, and is used when starting up a system with a small amount of actual data.

In the staffing guidance output process 106,
The retrieved or corrected assignment level in the crisis level time series is output to the display 112 as a staffing plan. In addition, while referring to the results of the guidance, the personnel actually allocated at the pumping station for each daily working unit time is taken into the personnel allocation result feedback processing 107, edited in a time series of crisis levels, and edited in the personnel allocation result database. 110
And will be used as future performance data.

Next, the rainwater drainage pump station operation support device 10
The processing operation of each unit will be described in detail. The rainwater inflow predicting unit 102 is activated at regular intervals, and receives rainfall inflows to the pumping station during the prediction period based on the above-mentioned surface rainfall in the target area, the weather forecast by rain cloud radar and the like, and the distribution of drains and sewers in the area. Calculate the change in volume.

FIG. 4 shows an example of the prediction result of the rainwater inflow amount. The vertical axis is the predicted rainwater inflow at the pumping station, and the horizontal axis is the predicted period corresponding to the planned period, which is about 24 to 48 hours. In addition, the forecast period is disclosed at any time,
Normally, it is set half a day to one day earlier. The prediction method according to the present embodiment is based on the same method as described in the related art, and a detailed description thereof will be omitted.

A factor that directly affects the operation of the pumping station is the level of the rainwater storage tank in the pumping station. When the rainwater inflow increases and the reservoir water level rises, the number of operating rainwater drainage pumps is increased to keep the water level below a certain level. With the increase in the number of operating pumps, the number of workers required for pump station operation, such as pump operation, monitoring, and communication, increases.

The rainfall inflow predictor 102 of this embodiment calculates the predicted rainwater inflow during the planning period, further calculates the predicted rainwater storage tank water level, and outputs it to the personnel allocation planning unit 103. The rainwater storage tank water level is obtained by dividing the amount of rainwater inflow by the bottom area of the rainwater storage tank, and the time series data of the predicted rainwater storage tank water level shown in FIG. Can be requested.

Next, the crisis level conversion processing 104 of the personnel allocation planning unit 103 receives the time series data of the rainwater storage tank water level for each rainwater pumping station, and converts the rainwater storage tank water level during the planning period into a unit as shown in FIG. Classify by time. Here, each divided unit time is set to Ti (i = 0 to n). T0 indicates a unit time from the planning start time t0, and Tn indicates a unit time until the planning completion time tn.

The crisis level Li for each section Ti
Is calculated. First, an evaluation factor for calculating the crisis level Li is obtained. As an evaluation factor of the section Ti, the section Ti
The maximum αu of the gradient when the water level rises, the minimum αd of the gradient when the water level falls in section Ti, the inflow integrated value (water storage amount) Si in the section Ti, and the tendency β of the water level rise / fall in the previous section Ti-1. Five inflow amount integrated values (water storage amount) Si-1 in the preceding section Ti-1 are used.

These five evaluation factors can be obtained as follows, as illustrated in the time series graph of FIG. αu is a prediction cycle of the rainwater inflow amount prediction unit 102, that is, a water level difference (Wj + 1−W) between prediction times j and j + 1.
j) is the largest value. Here, Wj is the water level at time j, and the time when the water level trend rises is positive. αd is the smallest value of the water level difference between the prediction times j and j + 1 of the rainwater inflow amount prediction unit 102. However, the downward trend of the water level is assumed to be positive.

Si is an integrated value of Wj included in the section Ti, and Si = ΣWj (however, the time j is included in the section Ti). β takes into account that the water level tendency in the preceding section Ti-1 indicates continuity to the section Ti. The water level tendency in the preceding section Ti-1 is obtained by the least square method or the like. Si-1 can be determined similarly to Si.

From the above, the crisis level Li in the section Ti to be obtained can be expressed by the model formula of Expression 2 using each evaluation factor.

[0028]

## EQU2 ## Li = m1 (Si-Si-1) + m2 (αu-
αd) + m3β Here, m1, m2, and m3 are weighting factors for each evaluation factor. By appropriately adjusting these weighting factors, the crisis level Li can be expressed as a simple linear function using time-series rainwater storage tank level data, and the crisis level Li can be continuously obtained as online data. become. In addition, by adjusting the weighting factor of each evaluation factor for each stormwater drainage pump station, it is possible to easily construct a system adapted to pump operation and crisis management unique to each pump station.

The model of the crisis level is not limited to the equation (1). In short, based on the forecast of rainwater inflow into the pumping station, the time change (process) of water storage due to the pumping station capacity is represented by a quantity or a stepwise index. Any measure can be used as long as it gives an evaluation scale of how close the vehicle is or how close it is to the safe operation area of the partial operation. Here, the safe operation area and the dangerous operation area are concepts in operation of the pumping station here, and such areas do not actually exist.

The crisis level Li obtained by Equation 2 is a numerical value. Further, the numerical range is output as an index of a section range in which the numerical range is divided stepwise. In other words, it converts into which section range Li is included into a crisis level LVi (level A, level B, level C...) Which is symbolized. Here, [La0, Lb0], [La1, Lb1], [La2, Lb2]... [Lam, L] are defined as the section ranges of the symbolized crisis levels A, B, C,.
bm]. For example, when the obtained Li is in the section [La1, Lb1], the level LVi = level B.

When the weighting coefficient m in Equation 2 is made positive,
The smaller Li is, the lower the crisis level is, so it approaches the safe operation area of the pumping station. On the other hand, the greater Li is, the higher the crisis level is, so that it approaches a dangerous operation area and the risk of overflow of the pumping station storage tank increases.

FIG. 7 shows an example of the time series data of the crisis level. LV0 is the crisis level in the T0 section at the start of the plan, LVn
Is the crisis level in the Tn section at the end of the plan. In each illustrated section, five levels of crisis levels A to E are shown.

When the crisis level conversion process 104 finds a crisis level data sequence for the planned period (t0 to tn), the process subsequently executes a crisis level similarity search process 105. For example, n such as [A, B, C, C, D,... B, B, A] in FIG.
The staffing record database 110 is searched using the data string of +1 crisis level as a search key.

If there is a data string at the crisis level that matches the data string arrangement of the search key in the staffing record database 110, the corresponding data string including the staffing record is extracted and output through the staffing guidance output processing 106. Output. However, it is actually difficult to search for a data string that matches 100% for a relatively long planned period of one to two days.

Therefore, an index called a hit ratio is provided to search for a similar data string. The hit ratio indicates a coincidence ratio between n + 1 data strings serving as search keys and actual data, and is expressed by Expression 3.

[0036]

## EQU3 ## Hit ratio = (number of matches with the search data string) / (n + 1) FIG. 8 shows an example of a data string having a hit rate of 80%. n +
1 = 10 search key data strings and result database 11
0 indicates the result data string with the best matching hit rate = 80%. Here, a threshold value is provided for the hit rate, and the threshold value to be set is increased in accordance with the accumulation of the result data. Alternatively, the hit rate may be calculated by weighting the number of mismatches according to the crisis level or level difference of the mismatch, and increasing the weight of the number of mismatches having a large crisis level or level difference.

In this way, if the hit rate exceeds the threshold, the data string is extracted as a similar data string, and if there is more than one, the data string with the maximum hit rate is selected.

Next, the personnel allocation result data in the result data sequence is corrected for each crisis level in the non-matching section of the similar data sequence. In other words, personnel are wasted in an unmatched section where the search key crisis level is low, and personnel shortage occurs in a mismatched section where the search key crisis level is high. Therefore, the personnel allocation result data Ni in the time section in which the crisis levels do not match is corrected by Equation 4.

[0039]

N′i = Ni × K where N′i is the corrected staffing data, and K is a correction coefficient stored in the staff correction ratio table 111.

FIG. 9 shows an example of the correction coefficient K. As shown, the crisis level A of the search key data string and the actual data string
The correction coefficient K is set for the combination of .about.E.
An example of correcting a similar data string in FIG. 8 using this correction coefficient will be described. Crisis level inconsistencies in the similar data sequence exist in the fourth section (D⇔A) and the seventh section (A⇔B), and the staffing results in this section are 10 and 9 persons. The correction result in the fourth section is 10 × 0.6 = 6 persons, and the correction result in the seventh section is 9 × 1.2 = 10.8 persons. In addition, the number of personnel as a result of the correction may be a decimal number, but the guidance may be provided with the decimal number because the information is for planning support.

Finally, the staffing guidance output process 10
Execute 6. The actual staff of the similar data string searched by the crisis level similarity search processing 105 is corrected, and the time series data including the planning period, the crisis level of each unit time (section), and the corrected actual staff of each section is displayed as a staffing plan on the display 112. And output it to planners.

If the actual data is insufficient in the initial stage or the like and a similar data string exceeding the threshold value cannot be extracted in the crisis level similarity search processing 105, the crisis level independent arrangement table 109 is referred to and the search key data string is searched. Then, an arrangement plan (personnel) corresponding to each crisis level is read out, and a data string for personnel arrangement plan to be passed to the guidance output processing 106 is created.

FIG. 10 shows a plurality of examples of the staffing plan.
Here, the start of the planning is set to 0:00 on the next day, the end of the planning is set to 0:00 on the next day, and the unit time is one hour. In the staffing plan of (a), the crisis level increases in the early morning of the next day, so the number of employees working in the early morning is increased. In (b), since the crisis level during the planning period is D or less, the staffing plan is performed during normal work (here, six people). In (c), since the crisis level becomes higher the next night, the number of night shift workers during this time zone is increased.

As can be seen from the illustrated example, the staffing plan of the present embodiment is not a simple link although it varies depending on the danger level. This is because the staffing is based on the performance data. For example, even if the level B partially appears in the time zone where the level A continues, the staffing of the level A is continued. In addition, when a data string of level C or lower continues, the staffing plan that is efficient according to the actual situation and that can ensure safety, such as permitting normal work at level D, is adopted.

As described above, according to the present embodiment, the staffing plan determines the crisis level of each unit time within the planning period based on the time series change of the predicted rainwater inflow amount for each pump station, and the safe operation area of the pump station. Calculated as an evaluation scale between the risk management area and the risky operation area, and the personnel required for operation at each crisis level is set based on the actual data, so that it is possible to propose an appropriate personnel plan according to weather conditions and pumping station capacity . In addition, since staffing is planned online, it is possible to respond promptly to changes in the situation and improve safety.

[0046]

According to the present invention, it is possible to evaluate the critical level of pumping station operation based on the prediction of rainwater inflow to the pumping station and propose a staffing plan according to the evaluation.
The staffing of each pumping station can be easily and appropriately planned, and efficient and safe pumping station operation is possible with limited staffing. In addition, the on-line prediction of the crisis level enables immediate response to changes in the situation, so it can respond to urgent personnel plans necessary for disaster prevention, greatly improving the safety and reliability of pump station operation.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a rainwater drainage pump station operation support device according to an embodiment of the present invention.

FIG. 2 is an overall configuration diagram of a rainwater drainage facility management system to which the rainwater drainage pump station operation support device of the present invention is applied.

FIG. 3 is an explanatory diagram of a data configuration of a staffing performance record database and a crisis level single location table.

FIG. 4 is a graph showing an example of a result of rainfall inflow prediction.

FIG. 5 is a graph showing an example of a rainwater storage tank water level prediction result.

FIG. 6 is an explanatory diagram of a crisis level evaluation factor.

FIG. 7 is an exemplary explanatory diagram of a data string of a crisis level during a planning period.

FIG. 8 is an explanatory diagram showing a state of matching / mismatching of similar data strings.

FIG. 9 is an explanatory diagram of a data configuration of a personnel correction ratio table.

FIG. 10 is an explanatory diagram illustrating an example of a plurality of staffing plans.

[Explanation of symbols]

1: Head Office, 10: Rainwater drainage pump station operation support device, 10
DESCRIPTION OF SYMBOLS 1 ... Meteorological information online data, 102 ... Rainfall inflow prediction part, 103 ... Personnel allocation planning part, 104 ... Crisis level conversion processing, 105 ... Critical level similarity search processing, 106 ... Personnel allocation guidance output processing, 107 ... Personnel allocation results Feedback processing, 108: storage device, 109: crisis level single allocation table, 110: personnel allocation result database, 111: personnel correction ratio table, 112: display device.

 ────────────────────────────────────────────────── ─── Continuing on the front page (72) Inventor Tadao Watanabe 5-2-1 Omikacho, Hitachi City, Ibaraki Prefecture F-term in Hitachi Ltd.'s Omika Works 2D063 AA07 DC04

Claims (8)

[Claims] 1. A method for supporting the operation of a rainwater drainage pumping station (hereinafter referred to as a pumping station) provided for each area and collecting rainwater and discharging the collected water to rivers and the sea. Predict a change in a predetermined period based on weather information, predict a change in water storage in the pump station for the predetermined period from the predicted inflow of rainwater, and pump based on a change in water storage in a section obtained by dividing the predetermined period by unit time. Crisis level, which is an evaluation scale from the safe operation area of the plant to the dangerous operation area, is determined for each unit time, and the assigned staff corresponding to the pump station operation for each of the crisis levels is referred to a performance database in which the number is set in advance. A method for supporting operation of a rainwater drainage pump station, characterized by presenting an arrangement plan corresponding to the crisis level time series of the predetermined period. 2. The critical level according to claim 1, wherein the crisis level is a maximum value αu of a gradient of a rise in the water level and a minimum value αd of a gradient of a decrease in the water level in the section (Ti).
Then, the crisis level numerical value Li is calculated from the factor of the equation (1) based on the factor of the rising / falling tendency β of the water level in the previous section (Ti-1) and the water level Si and the water level Si-1 in the previous section (Ti-1). A method for supporting operation of a rainwater drainage pump station, wherein the method is applied to the index (levels A, B, C,... ## EQU1 ## Li = m1 (Si-Si-1) + m2 (αu-
αd) + m3β where m1, m2, and m3 are weighting factors adjusted for each pump station. 3. The data storage system according to claim 1, wherein the result database stores a data sequence in which a crisis level time series obtained in the past and the actual number of staff members in each section (unit time) thereof are combined. A method for supporting the operation of a rainwater drainage pump station, wherein a data string in which the sequence of the crisis levels is identical or similar is extracted using the crisis level time series as a search key. 4. The method according to claim 3, wherein, when the similar data string is extracted, the number of staff members arranged in a section having a mismatched crisis level is corrected. 5. The system according to claim 1, wherein the predetermined period is a period from the start to the end of the placement plan, and is continuously based on online weather information before the start at a cycle of the unit time or less. A method for supporting operation of a rainwater drainage pump station, wherein the layout plan is presented while predicting the rainwater inflow amount. 6. An operation support storage medium provided for each area, for collecting rainwater and draining it to rivers and the sea, and which is an operation support storage medium, wherein the operation according to any one of claims 1 to 5 is performed. An operation support storage medium for a rainwater drainage pump station, which stores a support method as a program and data to be executed by a computer. 7. A computer device provided for each region and supporting the operation of a rainwater drainage pumping station (hereinafter referred to as a pumping station) that collects rainwater and discharges it to rivers and the sea, the rainwater flowing into the pumping station. A prediction unit that predicts a change in inflow for a predetermined period based on weather information, and that predicts a change in water storage in the pump station for the predetermined period from a predicted rainwater inflow, and a section in which the predetermined period is divided by unit time. Based on the change in water storage, the critical level, which is an evaluation scale from the safe operation area of the pumping station to the dangerous operation area, is determined for each unit time, and a result database is searched using the crisis level time series of the predetermined period as a search key, A planning section that extracts a data sequence in which the sequence of crisis levels is similar to a predetermined rate or more and presents it as a staffing plan, and a time series of crisis levels obtained in the past and the actual time in each section (unit time) An operation support device for a stormwater drainage pump station, comprising: the result database storing the data sequence in which the number of staff members is combined. 8. The rainwater drainage pump station operation support device according to claim 7, wherein the operation support device is provided in a head office managing a plurality of pump stations and presents the staffing plan for each pump station.